PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 1351301 (2025) https://doi.org/10.1117/12.3060478
This PDF file contains the front matter associated with SPIE Proceedings Volume 13513, including the Title Page, Copyright information, Table of Contents, and Conference Committee information.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
The International Conference Optoelectronic Information and Optical Engineering (OIOE2024)
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 1351302 (2025) https://doi.org/10.1117/12.3045338
With the development of the Internet, information carriers and communication methods have become diversified. As an important carrier for obtaining information, images are easily copied and tampered with during the communication process. Digital watermarking technology is an effective technology to protect image copyrights. In recent years, with the development of artificial intelligence, scholars have begun to apply deep learning technology to digital watermarking technology. This article proposes a digital watermarking technology based on residual neural networks, which consists of host image processing network, watermark processing network, watermark embedding network, and watermark extraction network. Experiments show that the watermarking algorithm can effectively resist common attacks on images, has good robustness, and the image will not change greatly after embedding the watermark, so it has good invisibility.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 1351303 (2025) https://doi.org/10.1117/12.3045339
The dielectric loss characteristics of epoxy resin, as a critical insulating material in high-frequency transformers, are essential to the performance and safety of the transformers. This paper explores the dielectric loss mechanism of epoxy/anhydride curing systems through molecular dynamics simulations, particularly focusing on the impact of segmental motion characteristics on dielectric loss. The study reveals that the probability density distribution of the motion speeds of various segments in the epoxy/anhydride cross-linked network follows the Maxwell-Boltzmann distribution. The increased rigidity of the curing agent structure reduces the displacement capability of anhydride and ester bond segments but provides greater motion space for epoxy segments, reducing motion resistance. Additionally, the methyl side chains in the anhydride further promote the motion of epoxy segments by providing additional displacement and support. These discoveries offer crucial insights for optimizing epoxy resin design, significantly contributing to the performance enhancement of highfrequency transformers in smart grids.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 1351304 (2025) https://doi.org/10.1117/12.3045345
This study presents a comprehensive approach to assess light pollution risk levels and develop targeted intervention strategies to mitigate its impact on urban development. We collect and preprocess data to establish indicators influencing light pollution risk levels, applying an improved evaluation model combining the entropy weight method and gray correlation analysis, with principal component analysis for verification. Our research investigates the effects of location on light pollution risk levels and explores intervention strategies addressing highly weighted factors, such as the quantity and type of artificial light, geographical location, and natural light. We conduct site-specific correlation analyses for Beijing, China, and Sydney, Australia, to determine the most effective intervention strategy for each location and its impact on risk levels. The study concludes with a sensitivity analysis confirming the stability and validity of the proposed model, demonstrating its applicability for urban planning and policy development.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 1351305 (2025) https://doi.org/10.1117/12.3045346
In view of the complex knowledge of power grid dispatching and the high real-time performance of dispatching decision, a study on the construction of power grid dispatching knowledge graph and intelligent assisted decision-making were proposed. Firstly, a BERT-BiLSTM entity recognition model is proposed to identify the data such as power grid dispatching procedures, fault plans and business processes. Then, a top-down ontology construction model for power grid dispatching is proposed to assist the construction of the knowledge graph for power grid dispatching. Finally, based on the knowledge graph of power grid dispatching, the intelligent assisted decision-making of power grid dispatching is realized. The validity and rationality of the model have been verified through actual operation data of power grid dispatching, and the assisted decision-making system can realize the rapid data processing and decision support.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 1351306 (2025) https://doi.org/10.1117/12.3045347
In this study, composite aerogels with three-dimensional porous structure were prepared by hydrothermal self-assembly process using TiVCTX-MXene and cellulose as raw materials, and green solvent was selected to dissolve cellulose. And its functional group structure, microscopic morphology and its use in the adsorption of anionic and cationic dyes and drugs. The results showed that the prepared composite aerogel MCC_TiVC_4 could remove MB, RhB, CR, MO, and TCH up to 83.06%, 71.71%, 26.98%, 31.54%, and 74.9%, which improved the performance of adsorption of the pure cellulose aerogel prepared by this experimental method. Meanwhile, in five consecutive regeneration experiments of adsorption-desorption, the removal rate of MB by the composite aerogel was always around 80%, which has a good performance of recycling and regeneration utilization. In this paper, a new method and idea of composite aerogel of MXene and cellulose are proposed.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 1351307 (2025) https://doi.org/10.1117/12.3045350
In response to the asymmetric increase in power grid voltage, voltage and current positive and negative sequence separation were carried out, and a control strategy was designed for the positive sequence current loop inverter. The active power was tracked by MPPT, and the reactive power was output as needed. The negative sequence current loop was controlled by suppressing negative sequence current and suppressing the double frequency fluctuation of active power. The working conditions of the inverter under low light intensity under high voltage were compared and analyzed. We have studied the suppression of negative sequence current and active power fluctuations in two scenarios: non output of inductive reactive power and output of inductive reactive power. The research results indicate that when the grid voltage rises asymmetrically, using inductive reactive power output to the grid can achieve good control effects, ensuring that the quality of the inverter output current is qualified while improving the operational stability of the inverter and helping to restore the grid voltage.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 1351308 (2025) https://doi.org/10.1117/12.3045352
With the rapid development of navigation technology and industrial manufacturing technology, Fiber Optic Inertial Navigation System has shown broad application prospects in many fields because of its unique advantages, and its performance directly affects the accuracy and reliability of navigation. Therefore, it is important to accurately detect its performance indicators before making actual navigation measurements. Based on the SNC-300A fiber optic inertial navigation system, this paper focuses on the zero bias stability of its inertial devices and the static angle measurement and dynamic measurement errors of the system. Static tests, static combined tests, and vehicle-mounted combined navigation tests were conducted. An in-depth study on the performance indicators detection methods was carried out, and an analysis of the test indicators for this model of fiber optic inertial navigation system was performed. The results show that the zero bias stability of the inertial devices, the static angle measurement accuracy of the system, and the dynamic combined navigation accuracy, among other indicators, all exceed the requirements of the national military standards, making it suitable for subsequent navigation measurement experiments.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 1351309 (2025) https://doi.org/10.1117/12.3045354
This paper examines the anti-buckling graded yield type metal damper, which is formed by combining two medium-damping dampers that use dampers with different yield properties to dissipate energy and have multi-level yield functions. This design can effectively prevent excessive yield or failure of a single damper during large earthquakes, thereby improving the reliability and safety of the damper. The paper investigates the energy dissipation of the anti-buckling graded yield type metal damper through experiments and numerical simulations, and analyzes its parameters. The conclusion is that the damper exhibits good energy dissipation characteristics and stability, and can maintain a large hysteresis loop area under larger loading displacements, indicating higher energy dissipation efficiency. Additionally, the damper has high environmental adaptability and can adjust the material and size of the shear and bending energy-absorbing plates to meet different seismic resistance requirements, ensuring the damper's initial stiffness changes and energy dissipation capabilities under different requirements.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135130A (2025) https://doi.org/10.1117/12.3045355
The article provides a brief exploration of the methods and feasibility of using computer simulation techniques to analyze acoustic parameters in radio and television media buildings. By simulating the impact of various acoustic parameters on the internal sound environment of the buildings, it offers a theoretical foundation and technical support for achieving optimized acoustic design and enhancing acoustic performance. The research results indicate that computer simulation technology holds vast potential for application in the acoustic design and analysis of radio and television media buildings.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135130B (2025) https://doi.org/10.1117/12.3045356
In wireless communication, fading caused by multipath interference is the dominant factor reduces the performance of the system. In this letter, the performance analysis of Chirp-BOK modulation in Rayleigh channel and is carried out and the bit error rate (BER) function is derived and the multipath interference that influence on coherent demodulation performance and signal energy are analyzed. The simulation result demonstrates the derivation is validity.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135130C (2025) https://doi.org/10.1117/12.3045357
Capacitive displacement detection technology is widely employed in the aviation and aerospace industries to monitor the operational status of crucial components in various aircraft systems. The actuator shaft displacement detection system operates on the principle of capacitance. The system is susceptible to temperature-induced variations in the dielectric constant and spacing between capacitor plates, leading to significant zero and amplitude drift in the system's input response, thereby impacting the detection stability and accuracy. To address this issue, Simulink is utilized for mathematical modeling and simulation of displacement detection systems along with temperature effects, and a real-time temperature compensation method based on a microcontroller is developed. Furthermore, this study conducted experiments based on the Simulink simulation, utilizing a numerical control adjustment compensation method within a constant temperature chamber. The purpose of these experiments was to investigate the compensation of static zero signal and dynamic signal variations across a range of temperatures. The experimental tests demonstrate a 91.3% reduction in zero drift output error and an 87.1% reduction in amplitude drift output error within the temperature range of -20 to 80℃, thereby ensuring the system's output stability across varying temperatures.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135130D (2025) https://doi.org/10.1117/12.3045358
With the changes in modern families and the needs of infants, traditional parenting methods are no longer able to meet the needs of parents. In order to provide a more advanced and convenient parenting method, this study designed and implemented a mobile parenting monitoring system based on virtual simulation technology of computer service programs. This system utilized virtual simulation technology, combined with mobile devices and cloud computing technology, to provide real-time remote monitoring and intelligent childcare services, providing greater convenience for parents and comprehensive care for infants. The real-time monitoring range of the mobile childcare monitoring system designed in this article was expanded to 100 meters compared to the traditional one, with the number of cameras increasing from 1 to 4, and the storage capacity also expanding to 50GB. The feasibility of the system also had advantages in terms of technical proficiency, economic cost, time cost, market competitiveness, and operational difficulty. The average score in terms of system stability was 85.71, which was also much higher than traditional childcare monitoring systems. The mobile childcare monitoring system designed in this article was significantly superior to traditional childcare monitoring systems and had broad application prospects.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135130E (2025) https://doi.org/10.1117/12.3045359
A method of reactive I-U (current voltage) conversion of three-phase circuit based on Hall effect is proposed, that is, the method and implementation of reactive current measurement of three-phase circuit based on Hall effect. Using the basic theories of three-phase circuits, RLC series parallel circuits, and integrated operational amplifiers, draw a Hall effect I-U conversion circuit diagram, conduct mathematical modeling analysis, design unit circuits, and configure parameters. Under the action of Hall elements, the phase current flowing through the load is added to the DC reference voltage source signal, and the resulting DC signal is superimposed. The phase voltage at both ends of the load is controlled by an input protection and square wave amplification circuit, which controls the conduction and cutoff of the transistor and outputs a switching signal. Two sets of signals jointly drive the core amplifier and filtering circuit to achieve I-U conversion. Based on the phase relationship of output I-U or the value of power factor angle φ, determine the nature of the load, calculate the parameters of the parallel capacitor, perform reactive power compensation, and improve the power factor cosφ.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135130F (2025) https://doi.org/10.1117/12.3045360
The macroscopic mechanical properties of solid propellant strongly depend on the microstructure characteristics. In this paper, a three-dimensional RVE model of high energy propellant is established. Through numerical simulation, the influence of propellant structural components on its mechanical properties is discussed. It is found that particle gradation mainly affects the tensile strength and elongation at break of propellant, while particle volume fraction mainly affects the initial modulus of propellant.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135130G (2025) https://doi.org/10.1117/12.3045361
Remote sensing image land classification is a crucial field of research for monitoring natural resources. This study provides a comprehensive review of the current state of information retrieval technology based on deep learning in this domain. It emphasizes the limitations of traditional methods and discusses the potential of deep learning techniques in enhancing the accuracy and efficiency of land classification. The strengths and weaknesses of various approaches are analyzed, and suggestions for future directions and potential improvements are proposed. The study concludes that deep learning techniques possess significant potential in improving remote sensing image land classification, but there are still challenges that need to be addressed. Future research should concentrate on developing more robust deep learning models and exploring the integration of multi-source data. Transfer learning and domain adaptation techniques also show promise for further advancements in this field. Overall, the advancements in deep learning have opened up new possibilities for land classification in the realm of remote sensing.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135130H (2025) https://doi.org/10.1117/12.3045362
To optimize the performance of sulphoaluminate cement-based grouting material, this paper sets up the single and multiple mixing tests of admixtures and obtains the optimal mix ratio of grout by studying the influence law of admixtures on the real-time and delay performance of grout. The results show that the nanomaterials can enhance the early strength of the slurry stones and shorten the interval between the initial and final solidification of the slurry. Both retarders and anti-dispersants can prolong the setting time of the slurry, and the effect of retarders on extending the setting time of the slurry is more significant. At the same time, both of them reduce the strength of the stone body of the slurry, and the anti-dispersant reduces the fluidity of the slurry and improves the hydrodynamic resistance of the slurry. Based on the evaluation indexes of controllable setting time, high material strength, and strong hydrodynamic resistance, a reasonable amount of admixture to optimize the properties of grouting materials was obtained through the admixture test.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135130I (2025) https://doi.org/10.1117/12.3045369
With the development of the power grid, the application rate of high-impedance transformers with low cost, small additional floor space, and strong ability to limit the short-circuit current of the system continues to increase. However, for the accident of no-load closing of high-impedance transformer leading to the zero-sequence current protection misoperation of adjacent lines, the frequency of such accidents is high, and the mechanism of occurrence has not yet been understood. Aiming at the problem that the cause of the accident caused by zero-sequence current protection misoperation caused by airdrop of high-impedance transformer is not clear, this paper first studies the inrush current characteristics of high-impedance transformer. The differences between high-voltage built-in type, low-voltage series reactance type high-impedance transformer, medium-voltage split type and ordinary transformer structure and equivalent circuit were analyzed. Secondly, the difference of excitation inrush current characteristics was analyzed. Finally, Maxwell simulation is used to obtain the electromagnetic and mechanical characteristics under the inrush current conditions of typical high-impedance transformers. It provides a theoretical basis for the use of high-impedance transformers and the suppression of excitation inrush currents in the future.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135130J (2025) https://doi.org/10.1117/12.3045370
In the paper, an improved frog leaping swarm optimization algorithm was proposed for training feed-forward neural networks based on the hyperspace dimensional and infinite folding inversion iterative chaos mapping. The error back propagation information and gradient information of BP algorithm were made full use, and the concept of hyperspace dimensional and infinite folding inversion iterative chaos mapping was presented. Combined with the shuffled frog leaping swarm algorithm, the chaotic Leapfrog Group was taken as the global searcher. Gradient information was taken as the local searcher for adjusting the intelligent network weights and threshold. The experiment results show that the new artificial neural network intelligent control algorithm has various advantages in the simulation parameters such as mean square error, MSE of generalization etc. It is very suitable for artificial intelligence control modeling, the training accuracy and generalization accuracy are perfect, and it has a better ability for global optimization adaptive control.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135130K (2025) https://doi.org/10.1117/12.3045372
The sub-array is an important part of phased array radar, and its performance directly determines the performance of the phased array. For the problems of low integration, large size, high power consumption, complicated installation and poor maintenance of the brick-type module used in the traditional phased array, a novel digital sub-array is designed. It uses a sheet cold plate and a shunt structure to design the sub-array as a front “brick” and a back “Tile” structure. In view of the cooling problem of an extensible digital sub-array of a three-dimensional laminated structure, this paper uses a liquid cooling method to take away the internal heat of the sub-array at the same time, the cold plate was optimized and designed, the main heat source was theoretically calculated and simulated. Finally, the optimized digital sub-matrix was simulated and tested to achieve a better cooling effect. Through simulation and testing, the maximum temperature of the chip is 60.7°C when the digital sub-matrix is working, which better meets the requirements.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Qingbo Zhang, Jiandang Yan, Dongmin Wang, Jiajia Du, Xiaona Li
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135130L (2025) https://doi.org/10.1117/12.3045373
In order to seek an efficient and clean utilization and transportation path of coke powder, this paper studies the preparation of coke slurry from coke powder, discusses the stability and rheological characteristics of the slurry, and analyzes the water quality changes before and after the preparation of coke slurry in combination with the existing long-distance pipe transportation process water. The results show that the proportion of fine particles in the coke powder is relatively small, and it is necessary to increase the grinding process for pipeline transportation of coke slurry. When the concentration is greater than 53%, Yulin Chemical 1 # coke slurry is difficult to carry out hydraulic transportation; When the concentration of the coke slurry decreases to 50%, the coke slurry gradually begins to have fluidity during continuous mixing. When transporting coke slurry through pipelines, it is necessary to reduce the slurry concentration, but there may be economic risks. At the same time, gas removal is required before pipeline transportation to prevent serious corrosion problems on the inner walls of pipelines and valve equipment. Mine drainage water and municipal prepared coke slurry have rheological properties, which are more suitable for the technical requirements of storage and transportation of coke slurry. After pulping from four types of water sources, the coke slurry precipitate is slightly alkaline, and a large amount of soluble salts are dissolved into the water during transportation. The increase of sulfate and calcium ions may lead to scaling and corrosion tendencies of the pipeline, affecting the water carrying capacity of the pipeline, and increasing friction loss.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135130M (2025) https://doi.org/10.1117/12.3045386
Time series prediction is a fundamental problem in scientific exploration and artificial intelligence (AI) technologies have substantially bolstered its efficiency and accuracy. A well-established paradigm in AI-driven time series prediction is injecting physical knowledge into neural networks through signal decomposition methods, and sustaining progress in numerous scenarios has been reported. However, we uncover non-negligible evidence that challenges the effectiveness of signal decomposition in AI-based time series prediction. We confirm that improper dataset processing with subtle future label leakage is unfortunately widely adopted, possibly yielding abnormally superior but misleading results. By processing data in a strictly causal way without any future information, the effectiveness of additional decomposed signals diminishes. Our work probably identifies an ingrained and universal error in time series modeling, and the de facto progress in relevant areas is expected to be revisited and calibrated to prevent future scientific detours and minimize practical losses.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135130N (2025) https://doi.org/10.1117/12.3045388
With the rapid development of the internet and information technology,the traditional encryption methods suffer from drawbacks such as poor processing capacity and low security, making them vulnerable to attacks. This paper presents a hybrid encryption algorithm that combines the Lorenz chaotic system and the generalized Arnold transform to enhance information security and confidentiality in digital images. The proposed quantum encryption scheme involves two stages: interfering with pixel coordinate information and grayscale values using the generalized Arnold transform, followed by spatial domain scrambling of pixel positions using the Lorenz chaotic system. MATLAB simulations demonstrate the effectiveness of this algorithm in achieving the desired confusion and diffusion of pixel values, making it a superior encryption method for cryptography.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135130O (2025) https://doi.org/10.1117/12.3045389
This paper describes a design of novel wideband co-aperture cavity-backed spiral antenna for airborne passive direction finding (DF) applications. Due to the restricted installation locations and rigorous environmental conditions, the design integrates two separate bands of cavity-backed spiral antennas into a common radome which can effectively reduce radar cross section (RCS) and the difficulty of mounting on airframe. The antenna design is modeled and optimized by using commercial electromagnetic software. Simulation results reveal good performance from 2 to 40GHz which can be considered as an excellent candidate to replace the original discrete aperture design. The proposed antenna will be supplied in amplitude and/or phase-tracking sets of typical airborne electronic warfare (EW) systems
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135130P (2025) https://doi.org/10.1117/12.3045391
The Stokes-Mueller imaging polarimeter has garnered significant interest from various industries, including material characterization, chemical engineering, pharmaceuticals, biological science, and semiconductor production. The polarimeter should be capable of automatic detection to satisfy the requirements of practical applications. A graphical user interface-based automatic Stokes-Mueller imaging polarimeter detection method is suggested. The system automatically rotates the wave plate by the DC servo motor in accordance with predefined rotation angles, captures the output image, and then performs data processing such as polar decomposition, Mueller matrix solution, and calibrationgraphical user interface experimentation with picture presentation. The Stokes-Mueller imaging polarimeter automatic detection system's instrument, working principle, and software architecture are explained. The entire detection procedure is automated, which increases productivity. The automatic detection of air and biological samples demonstrated a 20% increase in work efficiency while keeping the instrument's high-resolution (NA=0.95) and high-accuracy (error≤0.24%) performance criteria.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135130Q (2025) https://doi.org/10.1117/12.3045394
Skin cancer remains a critical health issue, with over 1.2 million new cases diagnosed annually. Early detection is crucial in reducing mortality rates, yet challenges in diagnosis persist due to variability in dermoscopic image quality. Traditional methods for skin lesion classification are cumbersome and involve significant manual preprocessing. This study introduces an innovative approach using deep learning to automate feature extraction and enhance diagnostic accuracy. We investigate an ensemble of advanced neural networks (VGG, ResNet, GoogleNet, Visiontransformer) combined with a multimodal method that integrates patient metadata and image features. Our dataset includes 9,013 training images and 1,002 testing images across seven diagnostic categories of pigmented skin lesions. The multimodal approach, mainly using the DenseNet121-Mul model, demonstrated superior performance over the ensemble method in precision, recall, and F1-score, achieving an F1-score of 0.91. Our findings highlight the potentiality of multiple deeplearning models combining with diverse data types to advance the accuracy and efficiency of computer-aided diagnostics in dermatology, paving the way for systems that could match dermatologist-level diagnostic capabilities.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135130R (2025) https://doi.org/10.1117/12.3045404
Depending on the needs of the industry, a novel membrane system (CCC system) with hybrid matrix membranes can efficiently extract CO2 from a variety of mixed gases at a rate ranging from 90 to 99%. More significantly, the CCC system can reduce carbon emissions from numerous significant industrial emission sources, including power plants and steel mills, while also producing useful industrial chemicals from the captured CO2. Additionally, the CCC system can save energy use by over 30%, and reduce the carbon footprint.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135130S (2025) https://doi.org/10.1117/12.3045406
The development of sensing materials with high conductivity and large surface area is the focus of future research as these characteristics are crucial for achieving high sensitivity in resistive sensors. In this study, a Ti3C2Tx MXene dispersion was prepared using an LiF/HCl etching process. PVA microfibers films prepared with an electrospinning method were then impregnated into the above Ti3C2Tx dispersion for the preparation of Ti3C2Tx/PVA composite films using a dipping-drying method. The gas sensing and humidity sensing properties of these composites films were investigated in detail. The composite films exhibited high sensitivity to NH3 in gas sensing, with a sensitivity of 0.075 over a wide range (10-200 ppm), along with a fast response time (26 s), fast recovery time (17 s), and good cyclic stability. In terms of humidity sensing, the Ti3C2Tx/PVA composite films demonstrated high sensitivity within a wide range (0.83, 11-33% RH; 13.93, 33-84% RH; 54.78, 84-97% RH), with the moisture hysteresis being approximately 4.45% RH. Moreover, it displayed a rapid response time (5 s) and recovery time (4.5 s), as well as good cycle stability. Overall, the MXene/PVA composite film has wide applications and demonstrates great potential in both gas and humidity sensing.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135130T (2025) https://doi.org/10.1117/12.3045408
Under the development trend of economic globalization, the communication and integration between different cultures have become the normal development, and the development of culture and art has broad space and opportunities. With the rapid development of the Internet, artificial intelligence and other technologies, it has gradually changed the production, dissemination and consumption mode of culture and art, and gradually become an important force to promote economic growth and transformation and upgrading. Taking painting art as an example, this paper mainly discusses the architecture and application performance of art style rendering system with deep learning as the core according to the rapid development of deep learning technology algorithm in recent years, in order to create favorable conditions for the innovation and development of painting art industry.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135130U (2025) https://doi.org/10.1117/12.3045411
A diversified collaborative mine ventilation control model based on blockchain technology is proposed to address the issues of information silos, regulatory difficulties, and information traceability in the current mine ventilation control process in China. This mode is based on the decentralized nature of blockchain, effectively connecting the ventilation system, temperature measurement system, bundle system, dust reduction system, gas extraction and stinging system involved in the process of mine ventilation and prevention control. It enables direct point-to-point information exchange between any node, achieving information sharing and collaborative governance among the main control means; By utilizing the characteristics of blockchain openness, transparency, traceability, and the inability to tamper with information, a mine communication and control model based on blockchain technology has been designed to ensure information authenticity, multi-party participation, intelligent supervision, and precise accountability. This model innovates the mine ventilation control method, explores the applicability and superiority of blockchain technology in mine ventilation control, and provides new ideas for the application of blockchain technology in coal mine ventilation control and other fields.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135130V (2025) https://doi.org/10.1117/12.3045417
Fashion image conditional retrieval is a method that utilizes textual feedback to guide the modification of fashion image content and uses it as retrieval query condition. The key point of this task is effectively integrating the semantic spaces of fashion images and text to support subsequent retrieval tasks. This paper proposes a hybrid feature cross-attention fashion image retrieval approach. The approach first extracts comprehensive fashion image features and text features using a pre-trained CLIP model and then uses a multi-head attention mechanism for semantic enhancement. Next, a hybrid feature cross-attention mechanism is utilized to obtain hybrid feature representations of images and text, which are fused into a single feature vector to retain more semantic information from both modalities. Finally, a two-stage training approach using contrastive learning is applied to train the network. Experimental results demonstrate the approach's good performance on various fashion image conditional retrieval metrics on the FashionIQ dataset and Shoes dataset.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135130W (2025) https://doi.org/10.1117/12.3045421
The laser welding plan for a lock bottom construction is suggested in order to meet the development needs of high-quality, high-efficiency, and high-reliability aerospace pressure vessels. The weld porosity issue comes next. In this paper, by introducing the inhibition state of titanium alloy porosity, laser welding technology and the influence of process parameters on porosity, the laser welding scheme of lock bottom structure is compared and analyzed.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135130X (2025) https://doi.org/10.1117/12.3045424
In order to solve the problem that the liquid level measuring mechanism of ultra-low temperature liquid such as LNG is too complicated, a design method of sensor heat insulation mechanism is proposed, so that the instrument can complete the non-contact detection of ultra-low temperature liquid under normal temperature environment. The thermal insulation mechanism is determined according to the measurement process, the heat transfer model of the measurement channel is established, the control structure of the thermal insulation channel is determined, and the functional relationship between its size and heat transfer is established. Finally, the dimensional correlation relationship under the minimum heat transfer is obtained by extreme value optimization. In the typical ultra-low temperature liquid level measurement conditions, the actual structure size and temperature control effect were calculated and verified. Through the comparison with the finite element simulation structure of the structure, it was proved that the proposed thermal insulation mechanism can meet the temperature isolation and heat dissipation control requirements of the ultra-low temperature liquid level.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135130Y (2025) https://doi.org/10.1117/12.3045425
Bi-directional DC-DC converters have many applications in in-vehicle power supplies and microgrids. Bi-directional DAB (dual active bridge) converters are proposed to optimize the charging system for electric vehicles. This paper analyzes a typical Bi-directional DC-DC converter topology whose input and output sides of the converter have simple symmetrical structure. The modes of the converter in different operating phases are analyzed, and a phase shift control systemis designed based on TPS5430DR. Finally, design and test of the DC-DC converter are implemented.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135130Z (2025) https://doi.org/10.1117/12.3045436
The diffusion coefficient of CO2 significantly influences the dissolution behavior of CO2 in nanofluids, playing a crucial role in phenomena such as viscous finger formation and instability onset. Acquiring empirical measurements of the CO2 diffusion coefficient(D) presents substantial technical and economic challenges. To address these challenges, this study employs Molecular Dynamics (MD) simulation to accurately calculate the D in nanofluids over a wide range of temperatures (293–343 K) and pressures (6–24 MPa). This systematic approach enables the creation of a comprehensive dataset, thereby enhancing the existing knowledge base. The results indicate that the increase in pressure functions as the driving force behind the diffusion of CO2, resulting in an enhancement of D. Regarding the temperature variation effects, elevated temperatures lead to a concurrent increase in the D. However, the increased thermal motion of cations at higher temperatures facilitate the formation of hydration shells, which hampers the diffusion of CO2.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 1351310 (2025) https://doi.org/10.1117/12.3045437
In the process of enterprise operation and development, reasonable allocation of asset structure can achieve better management performance objectives. Under the trend of economic globalization, the effective release of the Internet and digital technologies has promoted the economic development of countries around the world, but it has also faced severe challenges to traditional forms of trade. As the country attaches more and more importance to cross-border e-commerce, the economic development and technical means of related enterprises have become the focus of academic attention. This paper takes cross-border e-commerce enterprises as an example. After clarifying business performance and evaluation methods, based on the current research experience on business performance evaluation of cross-border e-commerce enterprises, this paper conducts empirical analysis after clarifying BP neural network model, so as to determine the growth mechanism of enterprise development performance and effective measures.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 1351311 (2025) https://doi.org/10.1117/12.3045438
Because the ecological environment around the coal mine is more complex, the actual mining work will pose a threat to the personal health of the on-site staff, so we should pay attention to the safety management of the coal mine, and fully ensure the safe production and operation of the mine. Especially after entering the era of big data, coal mine safety production management began to use intelligent technical means, the purpose is to control safety hazards from the source and reduce the occurrence of unnecessary safety risks. The improved particle swarm optimization support vector machine, as one of the common data mining algorithms, has relatively complete theoretical support and data classification effect. When it is applied to coal mine safety management, it can quickly grasp the rich information contained in massive data and provide an effective basis for practical safety management. Therefore, on the basis of understanding the intelligent development status of coal mine safety management, this paper mainly explores various methods and processes to improve particle swarm optimization support vector machine according to the research status of particle swarm optimization and support vector machine, and determines effective measures for coal mine safety management from the perspective of practical work.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 1351312 (2025) https://doi.org/10.1117/12.3045443
This paper utilized ANSYS Fluent to establish a Volume Of Fluid (VOF) multiphase flow model within a 6kA rare earth electrolytic cell. Concurrently, Discrete Phase Model (DPM) was integrated to study the influence of flow on the dispersion of neodymium oxide powder particles introduced into the cell.The results shows that (1) The ascent of anodic-generated gas is the primary driving force behind the internal flow within the electrolytic cell, and the rate of gas production significantly influences the flow dynamics. (2) We propose the existence of a critical particle size, approximately 0.8 mm. Below this threshold, heightened gas flow rates can result in the re-suspension of previously settled oxide particles, leading to prolonged residence times.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Juanjuan Feng, Yonglian Weng, Shuo Chen, Tianjian Yang
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 1351313 (2025) https://doi.org/10.1117/12.3045446
With the development and maturity of Information and Communication Technology(ICT), the concept of industrial empowerment has been frequently mentioned. As the primary economic industry in the national economy, agriculture also benefits from the ICTs’ capability of enabling energy saving and emission reduction. Three typical scenarios where ICT enabling the agricultural industry to reduce carbon emissions are studied, emission reductions are calculated by GHG protocol methods. And future emission reduction potentials of smart agriculture ICTs are also estimated. The important carbon reduction role of ICTs in the field of agricultural is identified and important management insights are concluded.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 1351314 (2025) https://doi.org/10.1117/12.3045449
A distributed wireless communication system consists of multiple nodes. Due to the diversified resources and environmental conditions for each node, a consensus-based algorithm can be used to solve the conflicts in the wireless communication system so that each node can reach a consensus based on a consistent algorithm and a consistent result. In particular, the channel quality, signal strength, energy consumption, protocol delay, security, and reliability can be improved. Consensus algorithms can also be applied for channel decision-making, authentication problems, message routing problems, and fault tolerance problems. Consensus algorithms are becoming essential for safe and more reliable wireless communication systems. Focusing on consensus algorithms from the perspective of wireless communication applications, the survey compares current trends and emerging research opportunities in consensus algorithms. Finally, we provide future research directions for consensus algorithms for distributed wireless networks.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 1351315 (2025) https://doi.org/10.1117/12.3045450
Starting from the kernel density estimation method, this paper uses the similarity of color distribution density function to track video image target under the framework of KPF filter. By simplifying the system model and mean shift algorithm, fewer particles are used to improve the tracking accuracy and reduce the calculation cost. The validity of the method is verified by experiments.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 1351316 (2025) https://doi.org/10.1117/12.3045476
In this paper, the composition of optical efficiency and the influence of various relevant factors are analyzed, and a mathematical model of the instantaneous optical efficiency of the heliostat field is established. The model is validated using the design parameters of a specific heliostat field provided in the attachment as an illustrative example. The calculation methods of annual average optical efficiency and the annual average output thermal power per unit area of heliostat field are discussed. Then, an optimization model is developed to maximize the annual average output thermal power per unit area and an optimized design scheme for the heliostat field is obtained by using genetic algorithm.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Jiacheng Dai, Yunquan Wu, Suping Chang, WenLong Lu
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 1351317 (2025) https://doi.org/10.1117/12.3045486
The weighted centroid localization algorithm (CA) is a common algorithm in chromatic confocal signal solving. However, CA cannot guarantee the sub-pixel accuracy of the localization results in processing for discrete spectral signals. The sampling density of the discrete spectrum and the distortion of the spectrum peak shape can both have uncontrollable effects on the sub-pixel precision of the CA localization results. This severely limits the dispersive confocal sensors to achieve submicron accuracy in the millimeter range. In this paper, a robust CA is proposed based on the characteristics of the sub-pixel systematic error distribution of the traditional CA. Based on the peak symmetry difference factor, the bias of the localization results caused by the peak distortion is compensated. Based on the fitted virtual sampling points, the instability bias caused by low sampling density is also suppressed. The accuracy calibration experiment of the self-developed chromatic confocal sensor show that the proposed robust CA can achieve more than 40% precision improvement.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 1351318 (2025) https://doi.org/10.1117/12.3045492
In radar High Resolution Range Profile (HRRP) recognition field, an effective feature extraction process is the main point to improve whole recognition performance. As the targets' HRRP is the amplitude of coherent summations of complex return from scatters in each range cell, some data-driven compression methods, like PCA, LDA, etc. are widely used and achieve good results under experimental conditions, but still doesn't contribute much to solving the inherent problem of HRRP, such as small-sample problem. For these reasons, a series of SOM based feature extraction methods are introduced to explore the possibility in HRRP recognition. From machine learning perspective, these SOM based methods might more comprehensively describe the inherent structure relations within the original HRRP data distribution with its competitive learning process. In this paper, three category simulation experiments are presented to analysis the feature extraction, data storage, cluster result and classifier design. Of these experiments, SOM combined with multi-layer neural network can reduce the over fitting problem of directly apply the multi-layer neural network for HRRP recognition, which further prove the feasibility of SOM application in HRRP recognition.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Xiangsong Sun, Wanyue Fu, Zihan Li, Ke Shi, Yanbo Li
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 1351319 (2025) https://doi.org/10.1117/12.3045497
SiC devices have the advantages of low conduction resistance and high breakdown voltage,suitable for space application. This paper analyzes the development status of SiC devices, the current research status of total dose effects of ionization and single particle effects abroad. Combining with the development status of SiC devices and the research status of irrigation effects in china,the experimental results and relevant mechanism analysis of the total dose effects and single particle effect of SiC devices are presented. The focus was on analyzing the damage situation of SiC power devices under radiation environment, providing reference for subsequent space application
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Bei Zhang, Chunjuan Wang, Xiaolei Yang, Jia Ren, Ming Zhuang
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135131A (2025) https://doi.org/10.1117/12.3045501
In the rapid development of information technology in our country, the ability of each industry to obtain information is becoming stronger and stronger. How to carry on high-level analysis and efficient use in the rich and diverse information set is the main topic discussed by the academic circle. Under the development trend of economic globalization, data mining, as a new subject of development concern in the new era, can raise data application from simple query at the bottom level to knowledge mining and provide decision support. After understanding the basic concepts of macroeconomics and the current situation of decision-making, this paper defines the overall design of data mining module according to the application characteristics and operation process of data mining, and finally discusses the application effect of supporting limited integral class in macroeconomic forecasting, so as to provide strong support for economic decision-making in the new era.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135131B (2025) https://doi.org/10.1117/12.3045508
In this paper, a fast tunnel cable state identification method based on a sparse online hybrid Gaussian multi-classification algorithm is proposed for real-time monitoring of the state of tunnel cables and their changes. The method first reduces the size of the training set using the data subset approximation method, then uses the hybrid Gaussian multi-classification algorithm to train the tunnel cable state fast identification model, and finally performs the parameter update online when necessary. The proposed method takes less time in the model training phase, and the trained tunnel cable state fast identification model can maintain good recognition accuracy under complex operating conditions and can be updated quickly.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135131C (2025) https://doi.org/10.1117/12.3045511
This study proposes a double graduated nonconvex algorithm based on ADMM to address the inverse problem of Diffuse Optical Tomography. By employing variable splitting and alternative direction strategies, the original problem is transformed into a primal-dual formulation, enabling the minimization of the nonsmooth term through shrinkage operations. Finally, numerical simulations validate the algorithm's effectiveness in preserving edges and reducing background artifacts.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135131D (2025) https://doi.org/10.1117/12.3045513
This article is based on the practical demand for improving the delivery efficiency of express delivery in the five southern prefectures of Xinjiang. In response to the problems of long delivery time and high operating costs in southern Xinjiang, based on the artificial bee colony algorithm, this article analyzes and studies the process optimization of sorting and transportation, and explores the technical path for optimizing the process of express delivery transfer. Obtain express delivery data from postal, SF Express, and "Three Links and One Delivery" express delivery companies, build a data platform, study the factors affecting the development of the express delivery industry in southern Xinjiang, comprehensively analyze the impact of transportation distance, transportation tools, transportation costs, labor costs, express delivery volume, and other factors on express delivery transportation time, establish an indicator system, use artificial bee colony algorithm to find the honey source with the best transportation frequency as the goal, simulate the actual honey harvesting mechanism of bees, divide the artificial bee colony into three categories: leading bees, following bees, and reconnaissance bees, find the optimal solution, and combine the analysis results to provide the optimal transportation transfer path suggestions. By improving the efficiency of express delivery and transportation, we aim to promote the import and export of characteristic agricultural products and economic development in the five southern prefectures of Xinjiang.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135131E (2025) https://doi.org/10.1117/12.3045521
With the rapid development of the social economy and the continuous improvement of living standards, the demand for load is growing rapidly. Medium and low voltage users, especially high-risk and important users, have increasingly high requirements for power supply reliability and reducing power outage time. When a power grid failure occurs and power outage occurs, it is crucial to promptly determine the fault location, minimize fault repair time, restore power supply, and reduce user power outage time, improve power supply reliability, and user satisfaction. This system is based on the enterprise level real-time measurement center to obtain the switch SOE signals actively reported by secondary monitoring devices such as concentrators, FTUs, DTUs, and fusion terminals. After signal cleaning and filtering, the system aggregates, classifies, analyzes, and determines the event of switch tripping or resetting. Then, it is associated and matched with a device network to generate power outage events for high and medium power lines in the power grid. The high-voltage lines are accessed through marketing data to determine the affected high-voltage and important users, and the number of transformers and low-voltage users is determined for medium voltage lines. The power outage scope is accurately determined, and corresponding fault power outage events and affected equipment are pushed in real time to support power outage monitoring, proactive repair, and other work.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135131F (2025) https://doi.org/10.1117/12.3045529
High repetition frequency near-infrared ultra-short lasers are crucial for efficient generation of low-noise mid-infrared frequency combs due to their broad in-phase spectrum and high peak power. In this paper, we present an improved structure of second harmonic generation-frequency resolved optical gating (SHG-FROG) for characterizing few-cycle pulses by retrieving their spectral power, temporal shape, and phase using a ptychographic reconstruction algorithm. We managed to characterize frequency combs with repetition rate from 100 MHz to 1 GHz; and measured pulses as short as sub-4 cycle pulses (< 20 fs) using this FROG.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Jing Xu, Qingsong Liu, Xudong Yan, Yupeng Xu, Mimi Shi
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135131G (2025) https://doi.org/10.1117/12.3045534
Monitoring the forage crop growth by remote sensing can reveal its growth status and dynamic changes from a macro perspective so that it can provide rapid and accurate reference for scientific management and sustainable utilization of forage crop. This paper introduced the principle, method and vegetation indexes of the remote sensing monitoring of forage crop. It summarized the application of remote sensing technology in forage crop growth monitoring and pointed out the main existing problems and technical bottlenecks. Meanwhile, it put forward prospects for the development direction of the future so as to provide a scientific reference for remote sensing monitoring of forage crop.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135131H (2025) https://doi.org/10.1117/12.3045537
Analyzing data from 2014 to 2023, including hourly precipitation records from five national ground weather stations and 228 automatic weather stations across various streets and towns in Guangzhou, we identified that over the decade, Guangzhou experienced 34,039 occurrences, which has a linear decaying relationship with rainfall intensity and exhibiting annual fluctuations. The majority of these events concentrated during the flood season (April to September), constituting 92.7% of the yearly occurrences. Monthly variations displayed a bimodal distribution, with peak activity in May in the pre-flood season and heightened activity in August during the post-flood season. The probability of extreme short-term intense precipitation (≥100 mm/h) is most pronounced in May. Spatial distribution shows a prevalence in the central and eastern parts, with fewer occurrences in the western, northern, and southern regions, indicating two centers of high short-term intense precipitation. There are significant spatial distribution differences between pre-flood and post-flood seasons, with pre-flood season occurrences more prevalent in the northeastern mountainous and hilly areas, while the central urban area becomes a high-incidence area during the post-flood season. The results can serve as a scientific basis for implementing measures to address urban flooding caused by short-term intense precipitation.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135131I (2025) https://doi.org/10.1117/12.3045539
The use of composite materials is becoming more and more widespread, which is enough to prove the important position of composite materials that cannot be ignored in the emerging technological era. The choice of resin matrix has an important impact on the performance of aramid fiber composites, especially in terms of bendability. This study carried out some sorting, induction and guessing based on extensive reading of previous literature, and conducted reasonable verification. The resuults obtained are a reasonable trend. I hope it can bring new ideas and influence to future research.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135131J (2025) https://doi.org/10.1117/12.3045541
A monitoring system for workpiece processing based on Mitsubishi PLC and MCGS is designed. The hardware configuration is completed. The login interface, the processing interface and the alarm interface are designed. The corresponding PLC monitoring program is compiled, and the real-time monitoring of the whole process of workpiece processing is realized.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Cuihong Zhang, Xiuqi Qiao, Chenghao Nie, Chengbo Pang
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135131K (2025) https://doi.org/10.1117/12.3045545
At present, the resource utilization of solid waste in our country faces the outstanding problems of high intensity, inadequate utilization and low added value of products. In this paper, a variety of typical biomass and plastic solid waste as raw materials, to carry out different ratios (raw materials, matrix and functional additives) sample preparation and performance testing experiments, to build a visual model of the distribution of filler, filler/matrix interface combination, hybrid filling methods to study the use of biomass and plastic solid waste to prepare biomass composite materials. It cannot only reduce environmental pollution and energy consumption, but also promote the high value utilization of solid waste. This paper takes solid waste as the main raw material to carry out the preparation of green high value-added wall decoration materials, aiming to explore a new way of high value utilization of solid waste and improve the level of solid waste resource utilization. Due to the wide range of solid waste sources, raw material treatment, composite preparation and strengthening mechanism is complex, the preparation of composite materials in the process of powder agglomeration and air bubbles are inevitable problems, need to optimize and improve the mixing, composite processing and casting film and other processes. Biomass filler is easy to absorb moisture in the air during storage, mixing and composite processing. It is necessary to study the influence of moisture in the material filler on the structure and performance of the complex.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135131L (2025) https://doi.org/10.1117/12.3045548
Nanosized ZnO and Ag/ZnO heterostructure with different Ag content of 2.5%, 5% and 10% have been synthesized by a two-step glucose-assisted chemical method. The growth mechanism study of Ag/ZnO heterostructure revealed that the metallic Ag generated in the first step and the ZnO nanocrystals formed in the second heat treatment process. The structural and optical properties of the as-grown samples were determined by x-ray diffraction, x-ray photoelectron spectroscopy, transmission electron microscopy and Ultraviolet-visible spectroscopy. The results confirm that the heterostructure are composed of single crystal Ag nanoparticles grown along the (0002) plane of hexagonal wurtzite ZnO. Moreover, the photocatalysis test shows that the nanosized Ag/ZnO heterostructures exhibit a higher photocatalytic activity than the pure ZnO. This maybe the dual function causing by the crystal defects of Ag doping and the interface formed in the nanosized Ag/ZnO heterostructure.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135131M (2025) https://doi.org/10.1117/12.3045549
In order to investigate the payload cabin safety after falling impact in near space mission, based on the theory of nonlinear dynamics, the collision model of payload cabin is established by Ansys, and the Ls-Dyna analyzer is used for the simulation calculation to obtain the mechanical properties of buffer device during the impacting, and the structural mechanical response of the main structure of the load cabin. The result shows that the payload cabin impacts the ground with a speed of 7m/s and an acceleration of 3g which can meet the safety requirements. The cushioning effect of the buffer device can protect the payloads from the impact and is beneficial to recycle the internal devices. According to the recovery conditions of the payload cabin and internal devices after the falling impact experiments, the results are in good agreement with the conclusions obtained from the simulation analysis. The proposed simulation method is of great significance to the design and optimization of payload cabin in near space.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135131N (2025) https://doi.org/10.1117/12.3045561
A vital component of a metal diaphragm tank is the metal diaphragm. Numerous elements, including the material's composition, exterior measurements, diaphragm thickness, and connection border, influence how well it emits emissions. Therefore, in order to examine the attitude and pressure difference during the diaphragm flipping process, a numerical simulation must be done at the beginning of the design. The flip test of the diaphragm shows that the test results are in good agreement with the simulation analysis. Therefore, the spherical metal diaphragm can be simulated instead of the flip test before being applied to the product.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Weipeng Ren, Zhaohui Xiao, Jie Li, Kuiwei Shi, Yihe Zhao, Zhikang Li
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135131O (2025) https://doi.org/10.1117/12.3045563
CMUTs are characterised by high electromechanical coupling coefficients and high sensitivity to ultrasonic emission, and the develop deeply in medical ultrasound imaging, non-destructive testing and other Medical fields. However, the safety hazards brought by high voltage and the shortcomings of high power loss limit the scope of its application. Therefore, how to reduce the operating voltage of CMUTs are the key to realizing their application in portable, low-power and long-term on-line inspection. In this manuscript, a low power two-layer CMUTs unit structure are proposed, in which the circular CMUTs cells are on the top part and annular CMUTs structural cells are on the bottom part. When the DC bias voltage is loaded, it forms a bending moment at the pillar, under its influence, the bottom unit produces a displacement. Consequently, the electrostatic deformation of the CMUTs are increased, which makes the ultrasonic transducer have a lower collapse voltage. Ultimately, the effect of reducing the collapse voltage and power consumption without changing the height of the cavity is achieved. In this manuscript, the advantages of double-layer CMUTs are verified by simulation.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135131P (2025) https://doi.org/10.1117/12.3045564
The cracking problem of common electron beam welds in TC4 pressure vessels for satellites was analyzed. The metallographic structure and micro-fracture characteristics of the welds were studied. The microhardness, oxygen, and hydrogen contents of the welds were measured. The causes of the cracking of electron beam welds in TC4 pressure vessels were determined by comprehensive analysis. The results show that during the welding process, stainless steel spatters are integrated into the weld area, resulting in high hardness, brittleness, and poor deformation ability in the weld area. In addition, the loose defects in the weld area further reduce the bearing capacity of the weld, resulting in low-pressure brittle cracking in the middle of the weld during the gas cylinder blasting test.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135131Q (2025) https://doi.org/10.1117/12.3045566
Gas transmission pipeline compressor stations serve as a crucial component within the entirety of the natural gas transport system, with their stability being directly tied to the security and consistency of natural gas supply. In the event of external disturbances and internal faults, these compressor stations must exhibit a high level of resilience, defined by their ability to resist shocks and recover swiftly from such incidents. To this end, the present study has established an evaluation framework based on continuous-time Markov processes, which aims to quantitatively analyze and assess the resilience of compressor station facilities. Within this framework, the study initially employs continuous-time Markov processes to model the state transitions of compressor station facilities, thereby capturing the behavior of stations and the probabilities of state transitions under various operational conditions and external perturbations. Stemming from this, the paper further delineates three core evaluative indices, which, when collectively assessed, facilitate a comprehensive quantification of the resilience level of a compressor station. These indices provide a scientific foundation for the design optimization, operational management, and emergency response planning of compressor stations. This research offers a fresh perspective and tools for the achievement of stable and sustainable operation within pipeline gas transmission systems.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135131R (2025) https://doi.org/10.1117/12.3045567
The tennis industry as an important part of the development of sports in our country, under the new normal of economy, great changes have taken place in both the industrial scale and the organization. After understanding the current situation of supervision and management of the tennis industry, this paper studies the construction of an Internet supervision and management platform with Web Services as the core according to the development characteristics and management requirements of the tennis industry and the regulations of tennis management, which mainly provides information exchange support for the development of the tennis industry and enables various departments and enterprises to establish good cooperative relations. Ensure more timely and effective information exchange.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135131S (2025) https://doi.org/10.1117/12.3045569
In order to analyze the reversal behaviors of a titanium diaphragm for a spacecraft propellant tank, a finite element model of the reversal process of the titanium diaphragm is developed based on the arc-length method and finite element software. With the aid of the model, this paper investigates the distributions and evolutions of different field variables during the whole reversal process and predicts the volume change of the liquid chamber furtherly. The results show that the diaphragm suffers plastic deformation during the reversal process, and the deformation process is relatively unstable. In addition, a nonlinear decrease of liquid chamber volume presents with the increase of the absolute value of apex displacement.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Lili Cao, Hongjie Tao, Nana Wang, Juaner Zheng, Jie Geng
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135131T (2025) https://doi.org/10.1117/12.3045570
Procurement is an important link in the supply chain. Sustainable procurement has emerged as a crucial strategy to address environmental and social challenges while promoting responsible sourcing and procurement practices. This study analyzes purchase order data from representative provinces in seven regions of China and evaluates and ranks them using the concept of sustainable procurement. This paper uses natural language processing and visualization techniques to recognize and classify texts, and visually display them on maps. This has reference significance for analyzing supply chain management data in the future.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135131U (2025) https://doi.org/10.1117/12.3045582
In this paper, a novel axial flux hybrid excitation motor (AFHEM) for electric ship propulsion system is proposed. On the basis of traditional axial flux permanent magnet motor (AFPMM), a new type of AFHEM was composed of field winding and magnetic flux ring, and adopting a dual rotor single stator topology structure. The unique outer magnetic ring and magnetic flux regulation principle of the proposed AFHEM were discussed, and finite element analysis was used to simulate and analyze the motor, including torque output capability, air-gap magnetic flux density, and risk analysis of permanent magnet demagnetization under different excitation currents. By adjusting the excitation current, the weak magnetic and overload capacity of the motor can be improved, and it has high torque output and magnetic field regulation ability.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135131V (2025) https://doi.org/10.1117/12.3045586
OM, SEM methods and so on were applied to investigate evolution of microstructure and macro-mechanical properties in a Cr-Si-alloyed spring steel of wire rods (Φ 20 mm) rolled with final rolling temperature (FRT) from760 °C to 880 °C. The results are shown as follows. Tensile properties and reduction of area for full cross section of the tested spring steel increased with decreased FRT. FRT760 and FRT825 specimens show the similar level of tensile strength, however, reduction of area for FRT760 specimens is greatly improved. Microstructure and Vickers hardness show evident difference in NS and Center areas with varied FRT due to size effect in terms of cooling rate and rolling strain for tested steels. Relatively higher content of sorbite and/or relative finer SP within NS and Center areas of cross section, are mainly responsible for higher tensile strength for FRT825 and FRT760 specimens than FRT880 ones. Relatively high content of fine PF grains (1.64 μm) in NS area combined with fine PF within full cross section, relatively finer SP and relatively more D&P within full cross section mainly cause evidently improved reduction of area for FRT760 specimens.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135131W (2025) https://doi.org/10.1117/12.3045588
Deep Neural Networks (DNNs) have been extensively employed in the classification of medical images and achieve impressive performance. But the success of DNNs is dependent on the large amounts of correctly labelled images. However, noisy labels are often unavoidable in the real-world clinical scenarios, which significantly impact the performance of the model. In this manuscript, we introduce a new sample selection method which could select the clean samples adaptively without knowing the prior knowledge, such as label noise rates. We also integrated semi-supervised learning during sample selection to fully utilize the noised dataset. Specifically, we calculate batch statistics in each mini-batch and divide the samples into clean and noisy based on the statistics, then they are served as labelled and unlabeled in the semi-supervised manner. Furthermore, we use a joint loss to leverage useful information from unlabeled data along with a supervised loss, which strengthens the model's robustness. To evaluate the effectiveness of our method, we conduct sufficient experiments on a medical image dataset: Chaoyang. The results show that the proposed method could deal with the noisy labels in real-world scenarios.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135131X (2025) https://doi.org/10.1117/12.3045596
In order to better implement the national decision-making and deployment of energy enterprises, fully undertake the State Grid Corporation of China (hereinafter referred to as "SGCC")'s "going out" development strategy, and improve the level of "window resources" for the construction of Shanghai urban energy interconnection enterprises, State Grid Shanghai Municipal Electric Power Company (hereinafter referred to as "SMEPC") has carried out exploration and research on the construction of a "4D window" system for power enterprises to upgrade energy levels. SMEPC has put forward a grand vision of "building a world-class power display platform," and established the goal of enhancing brand influence, increasing international business income, and improving international business management. And through building the core element of the “4D window” system, SMEPC has refined the development measures, and improved the guarantee mechanism to promote the realization of this goal. At the same time, this exploration and research of SMEPC Company also provides important reference experience for other enterprises in the exploration of energy level upgrading.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135131Y (2025) https://doi.org/10.1117/12.3045610
In the country to vigorously support the development of rural e-commerce industry, how to use cloud computing and big data technology construction planning rural e-commerce logistics, efficient integration of local logistics resources, reduce logistics transportation costs, and promote the steady development of rural e-commerce industry, is the current national and social comprehensive research of the main topic. Considering the development of rural economy in Guizhou in recent years, under the background of "Internet + efficient logistics", it is an effective way to optimize the efficiency of rural express delivery to build and optimize rural fast trunk transportation and improve rural express joint delivery capacity. Therefore, on the basis of understanding the development status of "Internet + efficient logistics", this paper mainly discusses the rural e-commerce logistics information architecture based on cloud computing and big data according to the current organization mode and transport capacity optimization of rural express joint distribution, defines the mathematical model affecting express transportation, and then regards the minimization of total transportation and distribution cost as the development goal. Scientific coordination of all distribution centers and related services, and comprehensive optimization of Guizhou rural express trunk transportation level.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Leilei Xu, Jun Pan, Juqi Yin, Yutai Zhou, Hao Meng, Sheng Zheng, Yulong Wei, Botao Song, Quan Sun
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135131Z (2025) https://doi.org/10.1117/12.3045611
Dense false target jamming has highly deceptive and suppressive characteristics, which may exist seriously impact on radar systems. Hence, based on the principle that jammers generate dense false target jamming, a waveform design method of dense false target jamming suppression is proposed to solve this problem. A criterion to design deceptive pulse and radar effective waveform is proposed through minimizing cross correlation level of dense false target jamming and radar effective waveform, and autocorrelation sidelobe level of radar effective waveform. The criterion could be solved by the least-pth algorithm. Simulation results indicate that the radar waveform designed by the proposed method could effectively suppress the dense false target jamming.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 1351320 (2025) https://doi.org/10.1117/12.3045612
With the increasing integration of distributed renewable energy sources into distribution networks, the characteristics of fault currents in distribution networks have undergone significant changes. Traditional three-stage current protection is no longer sufficient to meet the protection requirements. In theory, a differential protection scheme can better fulfill the requirements of rapid and accurate fault detection and clearance in distribution networks. Differential protection relies on real-time communication for information exchange between devices, and many researchers have incorporated wireless networks such as 5G into distribution network differential protection. Given the exponential growth of data in distribution networks and the security considerations of wireless communication like 5G, this paper proposes a secure protection technique for distribution network differential protection based on dual compressed sensing theory. This technique employs two compressed sensing schemes to compress the data before transmission, reducing the amount of data transferred while enhancing security. Subsequently, secure determinations are made based on the data at both ends processed through the compressed sensing algorithm, ensuring the security of communication in distribution network differential protection while achieving the same level of protection performance as traditional differential protection schemes.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 1351321 (2025) https://doi.org/10.1117/12.3045618
Surface plasmon polaritons (SPPs) with vortex phase distribution, known as plasmonic vortices, play an important role in several research fields. However, the ultrafast modulation for the single plasmonic vortex and vortex arrays excited by ultrafast laser, have yet to be studied. Here, we theoretically investigate the properties of single plasmonic vortex and plasmonic vortex array excited by femtosecond pulses using analytical and FDTD simulations. The ultrafast plasmonic vortex/array is excited by a slit (ring-shaped/hexagonal) on a gold film, and the incident light consists of two time-delayed femtosecond sub-pulses carrying the same topological charge but orthogonal circular polarization. By modulating the topological charge of incident pulses, the dynamics of time-varying electric field and energy flow in the ultrafast plasmonic vortex and array can be observed, such as the merging of multiple energy-flow loops and variations in ultrafast transitions between the light fields of the four six-fold symmetries. This work could offer new approaches for ultrafast on-chip optical information processing and multiparticle trapping.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Xun Liu, Hongyi Yu, Yonghua Li, Sheng Hu, Ya Chen, Chengling Li
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 1351322 (2025) https://doi.org/10.1117/12.3045622
Deep Brain Stimulator (DBS) is a long-term active implantable medical device. It is imperative to study the effects of the implantation site and the operational environment on its reliability to ensure patient safety. This study addresses the typical environmental stresses affecting DBS leads and proposes a reliable testing framework for assessing the reliability of these electrode leads. Furthermore, this work offers a practical foundation for the optimal design and quality enhancement of DBS electrode wires, providing guidance for relevant regulatory and evaluation activities within the industry.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 1351323 (2025) https://doi.org/10.1117/12.3045626
While the combustion vehicle promote the economic development, they also bring environmental pollution and energy crisis issues. As a new type of new energy vehicle, Fuel Cell Hybrid Electric Vehicles (FCHEV) attracted widespread attentions due to its characteristics of zero-emission and high energy density. At present, fuel economy and fuel cell aging are the important factors affecting the development of FCHEV. To this end, a deep reinforcement learning based energy management strategy (DQN) is proposed in this paper for energy management system of FCHEV, and improve the lifetime of fuel cell by reducing frequent fluctuation in fuel cell output power. The standard CycleRun are used to train the energy management strategy, and compared the training result with two benchmark energy management strategies. The result shows that the proposed energy management strategy can achieve lower computation cost, and reduce the power fluctuations.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 1351324 (2025) https://doi.org/10.1117/12.3045630
The ring-oscillator physical unclonable function (RO PUF) is easily affected by the ambient temperature. As the temperature increases, the frequency of the ring oscillator changes, causing the ROPUF to output error response bits. We studied the temperature variation characteristics of the RO PUF relating to reliability, investigating the reasons for the low reliability of the RO PUF due to temperature effects from the perspective of MOSFET temperature characteristics, without changing the original circuit structure of the RO PUF. In the 55nm process, Cadence and Monte Carlo simulations were used to reveal how changes in MOSFET threshold voltage affect RO PUF temperature characteristics. On the above basis, a method that optimizes the temperature reliability of RO PUF circuits from MOSFET temperature characteristics was studied.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 1351325 (2025) https://doi.org/10.1117/12.3045649
Quantum dense coding is an important protocol in quantum communication, and it utilizes the quantum entanglement to increase the capacity of quantum communication. This article introduces the basic protocol of quantum dense coding, and also extends the concept of quantum dense coding to higher dimensions and with more participants. The security of quantum dense coding in those conditions is also discussed; and the discussion shows the potential of quantum dense coding in various applications.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 1351326 (2025) https://doi.org/10.1117/12.3045662
The concept of dead zone SOC is proposed. By the lower soc and present power, the DZSOC threshold is calculated. The basic strategy for charging and discharging is to measure the initial SOC of LiFePO4 battery at the beginning of charging and compare it with the dead zone SOC.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 1351327 (2025) https://doi.org/10.1117/12.3045665
The sensitivity of 20# pipeline steel in gaseous hydrogen environment was evaluated by slow strain rate tensile experiment. The variation of hydrogen embrittlement sensitivity of 20# pipeline steel with hydrogen content was studied. The results show that the tensile strength of hydrogen embrittleness sensitivity index increases gradually, the section shrinkage rises gradually, and the dimple decreases gradually with the increase of hydrogen blending ratio (5%, 15%, 25% and 100%). 105 °C is the maximum temperature for the 20# steel hydrogen trap. The possible gas products in hydrogen embrittlement were calculated by thermodynamics.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 1351328 (2025) https://doi.org/10.1117/12.3045672
Deep sea wind power is a new trend in the development of wind power in the future. Currently, deep sea wind power still has problems such as high construction costs and incomplete cost recovery mechanisms. In response to the above issues, this paper establishes a cost and benefit assessment model for multiple types of stakeholder participation in the electricity market. Deep sea wind power collaboration with different entities such as traditional thermal power units, energy storage systems, and demand response to participate in electricity market. The impact of deep sea wind power on the power market is analyzed. The analysis reveals the impact of relevant factors of each stakeholder on costs and benefits. Relevant research provides a theoretical basis for cost recovery of deep sea wind power development in the background of future new power systems.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 1351329 (2025) https://doi.org/10.1117/12.3045673
Aiming at the problem of low efficiency and poor accuracy of Optimal Rapidly-Exploring Random Tree (RRT*) method in robot path planning, a RRT* path planning method for mobile robot based on particle swarm optimization and corner constraint is proposed(PSO-RRT*). In the path growth direction, a path direction probability selection method under target and obstacle constraints is proposed to reduce the path search time. In the process of path exploration, taking the current node as the starting point, through multiple forward explorations, combined with the minimum rotation angle constraint of the robot, a local path under multiple rotation angle constraints is established. Using the particle swarm optimization method, the current multiple paths are selected to obtain the optimal local path, and the redundant nodes in the path are deleted. Finally, the B-spline curve is used to smooth the final path, and the predictive control method is used to track the path. The simulation and experimental results show that compared with the other methods, the average planning time of the proposed method is shortened by about 10%, the path length is reduced by 10%, and the smoothness is better, which shows that the proposed method has certain engineering practical value.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135132A (2025) https://doi.org/10.1117/12.3045679
CCAR25.1309 clause is a programmatic certification requirement for the civil aircraft and system safety, which is one of the most comprehensive and complex airworthiness clauses for the civil aircraft[1]. The process assurance method based on ARP 4754A is an effective means to develop a civil aircraft or a system in a top-down mode which comply with the CCAR25.1309 clause. The research and practice on how to promote and implement the 4754A process assurance method in the TC certification process of civil aircraft is conducted. The study of the requirements realization process, safety assessment process, and development assurance level assignment of the 4754A development assurance process is performed. The process assurance concept, requirements, objectives, and methods are introduced. The key points that need to be paid attention to in process assurance, activities, checklist are defined and introduced to ensure that the 4754A process assurance method can be followed and implemented in the development of civil aircraft models. It shows it is effective to support the review of complex comprehensive airworthiness clauses by the authorities.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135132B (2025) https://doi.org/10.1117/12.3045687
In order to improve the detection accuracy and efficiency of surface defects on ceramic tiles, a detection model based on DeepLabV3+and combined with MobileNetv2 for feature extraction was constructed. Using ECA attention mechanism and multi branch receptive field cascade fusion structure to expand the sampling range of global and local element features for the empty space pyramid pooling module ASPP of the original model. Meanwhile, the model decoder uses depthwise separable convolutions instead of the original standard convolutions. Experimental results have shown that the improved model has an MPA value of 96.12%, a MIou value of 97.29%, an F1 value of 90.03%, and an Accuracy value of 99.89%. Compared with the previous model, the improved model's indicators have increased by 4.07%, 4.44%, 2.04%, and 1.02%, respectively. The segmentation accuracy and detection speed have been significantly improved. The experimental results fully demonstrate that the algorithm proposed in this article can effectively complete the task of detecting surface defects on ceramic tiles.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135132C (2025) https://doi.org/10.1117/12.3045690
The problem of spectrum conflicts is becoming increasingly prominent nowadays, and radar waveforms in practical scenarios urgently need to have good anti-interference performance. In response to the low computational efficiency and high complexity of traditional waveform design methods under complex natural environmental conditions, this paper introduces the Riemannian manifold into classical constant modulus constrained waveform design. Our method effectively suppresses arbitrary frequency bands and enables the obtainment of sparse frequency radar waveforms with minimal sidelobe levels. We map the constant modulus constrained space in radar systems to the search space, thereby transforming the constrained optimization problem into an unconstrained one. Simulation results validate the effectiveness of our method, significantly improving the computational efficiency of radar waveform calculations and the overall performance compared to classical methods.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135132D (2025) https://doi.org/10.1117/12.3045692
In order to solve the problem of low accuracy and premature falling into local optimal solution when multi-sensor is measuring accurate targets. In this paper, a mathematical model of multi-sensor detection coalition is proposed and established, and a mathematical model of the improved whale algorithm is formed. The improved whale algorithm uses a random or optimal seeking agent, combined with a forbidden algorithm to avoid falling into a local optimal solution prematurely. And then the air combat environment is simulated and the detection coalition after the improved whale algorithm is used to solve the problem. Under the same conditions, the comprehensive evaluation of the solution to both the gray wolf algorithm and the ant colony algorithm is inferior to that of the improved whale algorithm, and the effect of the number of painless whales on the solution results are also compared. Finally, the simulation results show that the improved whale algorithm has a simple mechanism, few parameters, strong optimization capability, and can substantially improve the convergence speed and avoid the system from falling into the local optimum solution too early, while maintaining good stability.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135132E (2025) https://doi.org/10.1117/12.3045695
With the continuous progress of drone technology, the safety issues of unmanned aerial vehicle (UAV) avionics systems are increasingly becoming a focus. As a nonlinear coupled system, the avionics system has a high degree of integration and mutual influence between its components. Traditional fault analysis methods often analyze accident processes from the perspective of linear causal relationships, but this method is clearly not applicable in avionics systems. Therefore, this article proposes to use the System Theoretic Process Analysis (STPA) method for safety analysis of avionics systems. By analyzing the working characteristics of embedded software, this article proposes the spatiotemporal control action between functions and extends the STPA method to the field of embedded software. Taking the cooling system as an example for safety analysis, software defects in the control process were discovered, proving the effectiveness of this method.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135132F (2025) https://doi.org/10.1117/12.3045704
On the basis of considering the charging demand of electric ships, this paper proposes a method for optimal planning of multitype charging facilities in inland ports. First, analyze the charging demand and driving characteristics of electric ships, comprehensively consider the daily remaining power of electric ships and the dynamic operating status and position of electric ships, and use stochastic simulation technology and the shortest path method to obtain the time and space of electric ship charging demand on the channel network distribution; secondly, based on the charging demand of electric ships, constrained by the unreachable rate, unsatisfied rate and investment limit of the charging demand, and aiming at the comprehensive minimization of the operating cost and investment cost of the charging station, establish the optimal location and capacity of the charging station mathematical model, and finally the genetic algorithm is used to solve the mixed integer nonlinear programming problem. The effectiveness of the proposed method is shown through the simulation analysis of the electric ship charging station planning in a certain area.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135132G (2025) https://doi.org/10.1117/12.3045712
With the rapid development of 5G communication technology and digital twin technology, its application in engineering safety systems in reservoir management has attracted increasing attention. This research is based on the high-speed and low-latency characteristics of the 5G network, combined with digital twin technology, to build a new reservoir management engineering safety system, using the digital twin model to reflect the status of the reservoir in real time, and realizing rapid data transmission and control through the 5G network processing, and conduct risk assessment and emergency response accordingly. It is expected that through this system, the monitoring accuracy and response speed of the reservoir will be improved, and the adaptability to extreme weather events will be enhanced, thereby ensuring the long-term stability and safe operation of the reservoir project.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135132H (2025) https://doi.org/10.1117/12.3045719
In this paper, based on the horn dipole antenna unit, the integrated array antenna can meet the requirements of high gain, high efficiency and high integration of millimeter wave and wireless communication. The antenna consists of five metal dipole elements arranged equidistant, and two opposite symmetrical segments with dielectric plates as dipoles are fed between metal plates. Dielectric plate is made of Teflon, a high frequency composite material, which is widely used in high frequency signal transmission and microwave communication, and its dielectric constant is very low. Achieve below -10dB |S11| in the frequency band 1.352GHz-2.274GHz, with a maximum gain of 18.6dB. Therefore, the antenna is suitable for millimeter wave communication.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135132I (2025) https://doi.org/10.1117/12.3045720
The flue gases emitted from boilers such as waste incineration plants and thermal power plants often contain a certain amount of Pb. This Pb can cause the NH3-SCR catalyst to deactivate, thereby increasing NOx emissions. To address this issue, phosphorylated MCM-22 was used as the support for CeO2-ZrO2 nanospheres to synthesize CZMP catalysts with strong Pb poisoning resistance. These catalysts were able to purify more than 80% of NOx at a temperature of 300 °C after Pb poisoning. X-ray diffraction, powder FT-IR, and TEM analyses revealed that the structure and composition of the catalyst is stable and unchanged before and after Pb poisoning. NH3-TPD result showed that phosphoric acid modification could change the acidity of the catalyst and H2-TPR indicated the increase of low temperature redox sites, enhancing its anti-poisoning ability at low temperatures. In-situ DRIFT studies indicated that phosphoric acid modification caused rapid decomposition of nitrate intermediates on the catalysts, with the reaction dominated by an E-R mechanism
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135132J (2025) https://doi.org/10.1117/12.3045721
At present, PSI is an indispensable intermediate link in the learning process of vertical federation. When longitudinal federation learning online prediction, PSI running time directly affects online prediction time. To improve the online prediction speed of vertical federation learning, the existing PSI has been improved to reduce the number of matches between two datasets by adding slicing filters, reducing the amount of matching data, and dividing the data sets into buckets. Experiments show that When the data volume of the two parties is unbalanced, and the data volume of the demand side remains unchanged, the more obvious the gap between the running time of the SOPRF-PSI protocol and the other two protocols is as the data volume of the provider increases, the greater the performance advantage of the SOPRF-PSI protocol.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135132K (2025) https://doi.org/10.1117/12.3045723
Polypyrrole/carbon cloth flexible composite electrodes are prepared by growing polypyrrole on carbon cloth surface by vapour phase polymerization. This method is low-cost, scalable and does not require any conductive additives or adhesives during electrode fabrication. In addition, the influence of water vapour on electrode morphology and structure during the pyrrole vapour phase polymerization process was deeply studied. It was found that when water vapour was involved, the granular polypyrrole on the surface of carbon cloth was evenly distributed, and when the evaporation volume of water and pyrrole was 10:1, the electrode prepared has the best energy storage performance (1118.5mFcm-2 at 5 mA cm-2), when current density up to 20 mA cm-2, the electrode has 645.1 mF cm-2 capacitance, the corresponding capacitance retention is 57.6% exhibiting a good prospect in the application of flexible energy storage devices.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135132L (2025) https://doi.org/10.1117/12.3045724
In photovoltaic power generation systems, there is a problem of shadow shading in photovoltaic cell arrays, resulting in multiple power peaks on their output power voltage curve. At this time, PSO algorithm in Maximum Power Tracking(MPPT) has the disadvantages of slow convergence speed and easy occurrence of premature convergence. This article proposes a hybrid algorithm (IPSO-IP&O) that combines IPSO and Variable Step Size Disturbance Observation (IP&O). Firstly, the IPSO algorithm introduces nonlinear dynamic parameters through adaptive parameter to meet the different needs of MPPT in the early and late stages, track it more quickly, and reduce the possibility of getting stuck in local optimal solutions; Then, the global optimal solution output by the IPSO algorithm is further tracked using the IP&O algorithm to improve accuracy and reduce power oscillations. Using MATLAB/Simulink to simulate the system, and the results show that the IPSO-IP&O algorithm can effectively improve the convergence speed and accuracy of system optimization under shadow occlusion conditions.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135132M (2025) https://doi.org/10.1117/12.3045735
The enumeration reduction algorithm is a practical method for solving the shortest vector problem(SVP) in lattice theory, and it plays an important role in analyzing the security of lattice-based post-quantum cryptography NTRU(Number Theory Research Unit), but there is still a problem of low efficiency for high-dimensional NTRU. Based on the symplectic properties of NTRU lattices, the new upper boundary of the initial boundary A of the enumeration reduction algorithm search space is analyzed. The new upper boundary Anew is 2.4 times smaller than the initial boundary ASchnorr of ENUM algorithm, and the number of lattice points in the initial search space is 2.4N times smaller. Symplectic enumeration lattice algorithm SENUM for NTRU lattices is proposed. A jump parameter is designed for SENUM algorithm, which improves its calculation speed and enumeration success rate. The experiment shows that with the same parameters β, SENUM algorithm can complete NTRU lattice enumeration operation within 1 hour, and Hermite factor of the output is better.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135132N (2025) https://doi.org/10.1117/12.3045738
This study delineates the burgeoning role of biomaterials, particularly DNA and proteins, in memristive technology. DNA, with its molecular programmability, offers distinct electronic attributes, while proteins like silk fibroin, ferritin, and egg albumen underscore versatility in memristor applications. Emphasizing biocompatibility and sustainability, bio-memristors hold promise in seamlessly interfacing with biological systems, especially in healthcare and computational realms. Yet, challenges related to stability, response time, and device integration persist. A multidisciplinary approach, encompassing nanofabrication and computational neuroscience, is pivotal for harnessing their potential. Advanced characterization techniques, such as tunneling electron microscopy, will elucidate charge dynamics at the nanoscale. Despite their advantages, the performance of bio-memristors vis-à-vis conventional ones remains a crucial comparative metric. Their biophysical properties allow synaptic behavior emulation, potentially transforming neuromorphic systems and machine learning. In summation, while challenges loom, bio-memristors offer a transformative path in electronic evolution, warranting continued exploration and multidisciplinary collaboration.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135132O (2025) https://doi.org/10.1117/12.3045744
Spectrally-constrained sequences (SCSs) are primarily used in emerging systems operating over non-contiguous spectrum such as cognitive radio and cognitive radar. In order to obtain more SCSs, firstly, a novel type of SCS called periodic zero correlation zone spectrally-constrained sequence(PZCZ-SCS) is proposed in this paper. Then, based on time-frequency synthesis analysis, the conditions that the PZCZ-SCSs must satisfy in terms of “spectral constraint” are derived. Specifically, it is a divisible difference set with parameters λ1 = k and λ1 > λ2. Finally, the construction of PZCZ-SCSs is presented by using the Chinese remainder theorem. Through this research, a new class of SCS is provided for cognitive radio.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135132P (2025) https://doi.org/10.1117/12.3045749
The evaluation of tunnel route needs to consider many factors such as natural environment, geography and geology. How to evaluate tunnel route objectively, fairly and effectively has always been a difficult problem for tunnel route selection specialty. The spatial analysis and visualization based on GIS can show the spatial relationship between the tunnel and the evaluation factors, and can make accurate judgments by analyzing the geographical and geological characteristics of the tunnel location combined with the corresponding evaluation model. Based on this, this paper uses GIS to construct the comprehensive geospatial data set of the tunnel scheme to be evaluated, and constructs the comprehensive evaluation model of the tunnel according to the analytic hierarchy process, etc., and evaluates the tunnel scheme from the angles of geography, geology and humanities, and puts forward a set of comprehensive evaluation method of tunnel route based on GIS, which is mature in technology and easy to operate, and has great reference value for railway route selection.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135132Q (2025) https://doi.org/10.1117/12.3045761
This paper examines the potential for leveraging the order dispatch algorithm in the commercial domain to enhance the intelligent allocation of military combat tasks, thereby improving the speed and accuracy of command decision-making in the context of intelligent warfare. The study proposes an "order-based" command and control model, which aims to overcome the efficiency bottleneck and information lag problem in traditional combat task allocation. The algorithmic design incorporates multi-dimensional association rules and similarity matching algorithms to guarantee the optimal matching of combat tasks and resources, thereby achieving the objectives of rapid response, efficient resource utilization, and enhanced combat effectiveness. This paper focuses on the challenges and advantages of this model in the context of naval warfare. It highlights the strategic value of order-based command and control in non-direct confrontation missions, such as reconnaissance, patrol, and intelligence gathering. The utilization of the "combat cloud," artificial intelligence, and a highly integrated command network enables the precise allocation of resources and the rapid execution of tasks. This, in turn, enhances the ISR capability, network-centered warfare effectiveness, and cross-domain synergistic warfare capability in naval warfare. The study also delineates the specific implementation process of the algorithm, which includes multi-dimensional association rule mining and similarity matching based on historical cases, with the objective of generating optimal combat scenarios and ensuring the effective execution of task orders.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135132R (2025) https://doi.org/10.1117/12.3045767
A simple and effective equivalent circuit model is established, and Offline identification of open circuit voltage, ohmic internal resistance, polarization internal resistance, and time constant of the battery model was performed using Excel linear regression method. Based on the extended Kalman filter method, the model parameters were identified online, and the offline and online parameter identification results under different operating conditions were compared, verifying the effectiveness of the online parameter identification method.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Botao An, Hongwei Zhou, Peiran Peng, Lei Zhang, Shubo Ren, Jianan Li, Tingfa Xu
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135132S (2025) https://doi.org/10.1117/12.3045771
Digital images are captured by various fixed and mobile cameras, compressed with traditional and novel techniques, transmitted through different communication channels, and stored in various storage devices. Distortions can occur at each stage of the image acquisition, processing, transmission and storage pipeline, resulting in loss of perceptual information and degradation of quality. Therefore, image quality assessment is becoming increasingly important in monitoring image quality and ensuring the reliability of image processing systems. And as the most widely applicable and usable of the image quality assessment fields, a large number of learning-based no-reference quality assessment studies have been conducted in recent years. In this survey, we provide an up-to-date and comprehensive review of these studies. Specifically, this paper presents recent advances in the field of deep learning-based no-reference quality assessment and provides an overview of benchmark databases for deep learning-based no-reference quality assessment tasks as well as assessment metrics and the backbone networks commonly used in quality assessment tasks.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Yan Li, Ziping Wang, Xiaojin Li, Yabin Sun, Yanling Shi
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135132T (2025) https://doi.org/10.1117/12.3045792
In this paper, the impact of ambient temperature on self-heating effects (SHEs) of 5nm gate-all-around nanosheet FETs (NS-GAAFETs) is investigated. The electrical characteristics of DC and AC, as well as the thermal characteristics of steady and transient state, are analyzed. Through numerical evaluations, it is shown that the ambient temperature strongly affects the electrothermal characteristics of NS-GAAFETs. With the ambient temperature increasing, the performances of NS-GAAFETs significantly deteriorate, where the on-off ratio ION/IOFF and sub-threshold swing SS decrease by 90.5% and 19.5% respectively.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Xiaolei Xu, Yaoyao Wang, Boqing Feng, Mengzhen Cui
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135132U (2025) https://doi.org/10.1117/12.3045832
The spatiotemporal data of railway infrastructure plays an important role in the development of railway informatization, but existing collection technologies have problems such as low efficiency, high cost, and many limitations. Starting from different business application scenarios in railways, this article first conducts a comprehensive investigation and analysis of the business requirements for spatiotemporal data of railway infrastructure. Then, by studying new surveying and mapping technologies such as GNSS+IMU combined positioning technology, laser point cloud scanning technology, and real scene video acquisition technology, a railway measurable real scene image acquisition device is developed to achieve the integrated collection of device operation trajectory positioning data, point cloud data, and real scene video data. At the same time, real scene image calculation technology is used to obtain measurable real scene image data along the railway line, thereby achieving rapid collection of railway infrastructure spatiotemporal data based on measurable real scene images. Finally, experimental verification was conducted on the circular railway line of the National Railway Test Center, successfully collecting and obtaining the spatial and mileage coordinates of various professional infrastructure along the circular railway, as well as accurately measuring the geometric dimension information of various facilities and structures.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135132V (2025) https://doi.org/10.1117/12.3045836
Facing climate change and resource constraints, this article explores the innovative application of artificial intelligence in green building design. It proposes intelligent solutions based on machine learning and optimization algorithms, enhancing energy-saving systems, renewable energy utilization, and indoor environment control. Key findings include a 17.6% reduction in energy consumption, a 68% increase in renewable energy utilization, a 10.3% improvement in indoor comfort, and significant energy savings. The research constructs a comprehensive green building optimization system, achieving notable energy-saving and environmental protection effects, contributing to the development of intelligent green buildings.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135132W (2025) https://doi.org/10.1117/12.3045838
Predicting ship trajectories is vital for enhancing maritime safety, optimizing route planning, and boosting the efficiency of maritime traffic management. Current research often neglects the complex marine environment and the effect of ship performance on prediction accuracy. To address these deficiencies, we present a feature-aware transformer-based methodology that integrates meteorological and ship performance data. Our method begins with a time interpolation technique to synchronize the inconsistent time resolutions between meteorological and trajectory data, thereby establishing a comprehensive multi-source dataset. We develop a feature-aware module using transformer architecture to consolidate ship and meteorological features into a unified low-dimensional space, thus enabling the modeling of feature interactions. Experiments on Automatic Identification System (AIS) datasets indicate that our approach reduces the average prediction error to within 4 kilometers over a prediction period of up to 6 hours, achieving a 13% improvement over the state-of-the-art transformer-based methods.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135132X (2025) https://doi.org/10.1117/12.3045846
In order to improve the accuracy and generalization ability of modulated pattern recognition, a modulation recognition method based on Gramian Angular Field(GAF) coding technique and convolutional neural network(CNN) is proposed. The homogeneous and quadrature components(IQ components) of the modulated signal are losslessly encoded intoa3Dimage using GAF, which preserves the time-series features of the signal and enhances the time-series correlation features. CNN is used to extract the features of 3D images, avoiding the tedious steps of manual feature extraction. Simulation experiments using seven different modulated signals, such as BPSK, GFSK, FM, etc., are conducted to verify the feasibility and effectiveness of the method in both analog and digital modulation identification. The simulation results demonstrate that the modulation recognition accuracy of CNN reaches 91% at a signal-to-noise ratio (SNR) of 10dB, and its recognition performance is greatly improved compared with several other methods.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135132Y (2025) https://doi.org/10.1117/12.3045855
Through data preprocessing, data fusion and collaborative analysis, as well as security protection technologies, the data quality and security in smart grids have been improved. Specific approaches include power demand side management, energy management, and analysis of existing methods. The research results indicate that the collaborative security technology and methods of power big data are of great significance for improving the security and efficiency of the power system, and achieving comprehensive monitoring, prediction, and optimization.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Haojie Cao, Sitong Tian, Xiaoqian Zhang, Li Chen, Xingwen Li
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135132Z (2025) https://doi.org/10.1117/12.3045870
The post-arc current of a circuit breaker is an important parameter that determines its breaking performance. In order to measure the post-arc current of high voltage AC circuit breakers, we have developed a post-arc measuring device based on coaxial parallel and anti-parallel clamping diodes. In this device, the diodes have a decisive influence on the performance of the measurement circuit. In order to improve the performance of the measurement circuit, we selected several different types of diodes on the market and tested their performance in the measurement circuit to select the diode with the best performance. We found that the bandwidth of the measurement circuit using the 1S2076A switching diode was as high as 10MHz, the response time was about 50ns, and the distortion was low at high frequency, suitable for measuring post-arc current. At the same time, we established a data acquisition system based on FPGA and combined it with measurement circuits to form a complete measurement system. Finally, the measurement system was applied to the synthesis test circuit to complete the seventh harmonic arc current test. The peak post-arc current is about 300mA, with a duration of tens of microseconds.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 1351330 (2025) https://doi.org/10.1117/12.3045908
Rotary sprinklers, widely used for their versatility and low cost, are prone to damage, leading to irrigation issues. This paper focuses on the working status of sprinklers and proposes a method to monitor overall irrigation quality using machine vision. By employing cameras and flow sensors, real-time monitoring of the length and rotation angle of the water column is achieved. This system provides timely feedback on sprinkler anomalies, allowing for prompt maintenance and replacement, ensuring proper irrigation and preventing water waste.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 1351331 (2025) https://doi.org/10.1117/12.3045998
To address the challenges of high investment, high time cost, and high development difficulty in new drug research and development, this paper proposes a drug screening model research method based on network pharmacology. This model is based on the human protein-protein interaction (PPI) network and combines the shortest path length method and clustering analysis method to measure the similarity between drug gene nodes and disease gene nodes, thereby predicting the potential association between drugs and diseases. The prediction experiment was conducted using drug and disease datasets, and the experimental results showed that the optimal AUC of this model reached 0.8287, which significantly improved its performance compared to other models. Therefore, this network model has good drug screening ability and can provide auxiliary opinions for drug research and development.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 1351332 (2025) https://doi.org/10.1117/12.3046010
Authentication and key establishment are fundamental goals of modern cryptography. There are plenty of works that focus on secure and efficient design of them. Among them, the Diffie-Hellman key agreement protocol is the most widely used ones. They daily used Transport Lay Security (TLS) protocol that are the basis of HTTPS is what protect us when we are surfing. However, as we all known, the protocol is not secure against man in the middle attack, so various kinds of authentication methods are proposed. With the development of technique for digital identity, we found the new needs to integrate authentication in the Diffie-Hellman kind of key agreement protocol. In this paper, we revisit the classical problem of authentication and key establishment. Inspired by the Signal protocol, we propose a new scheme of authentication with identity, we also note that although the decentralized identity is another kind of identity infrastructure, by the use of credential that is constructed with identity attributes, our scheme supports both centralized and decentralized identity system. With the development of Internet of Things (IoT), secure and efficient authentication and key establishment for sensors with limited computation power is also an urgent need. To this end, we realize a new authentication way and integrate it to X3DH protocol, which is the key component of Signal protocol. Besides, we consider the function of continual authentication that is very necessary in long-term secure communication. Last but not the least, we also give detailed analysis on security and computation, which shows the security and efficiency of our scheme.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 1351333 (2025) https://doi.org/10.1117/12.3046083
In order to address the issue of neglecting the influence of combined tolerances on cumulative tolerances in three-dimensional space and the size distribution pattern does not conform to the actual size distribution, a three-dimensional statistical tolerance analysis method that considers combined tolerance and size distribution law is proposed. Firstly, The Jacobian-Torsor model is used to solve the expression and transmission of tolerances in three-dimensional space; secondly, Monte Carlo simulation is used to make the distribution of dimensions within the tolerance region normal distribution, avoiding unrealistic situations where product sizes in large-scale production are completely interchangeable, and improving the comprehensiveness and accuracy of analysis results. The method proposed in this article is applied to the tolerance analysis of a certain circuit breaker static contact component to verify its rationality and effectiveness. Compared with the deterministic method, the results show that this method significantly improves the analysis accuracy, thereby reducing product design and manufacturing costs.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 1351334 (2025) https://doi.org/10.1117/12.3047854
Hyperspectral image (HSI) classification is widely used in the analysis of remotely sensed images. Deep learning techniques, especially CNN, have greatly improved performance over traditional machine learning methods due to their robust feature extraction capability. However, CNN methods, which typically use small receptive fields, still struggle to model long-term dependencies effectively. On the other hand, transformers based on the multi-head self-attention(MHSA) mechanism may overlook subtle spectral differences when dealing with HSI, hindering further performance enhancement. To address this, we propose the Spectral-Spatial Attention Transformer (SSAT) model, which mitigates the oversight of subtle spectral features by MHSA through a spectral information focusing mechanism. We also introduce the Local-Pixel Embedding (LPE) module to extract localized spectral-spatial information from HSI data. The Spectral–Spatial Attention (SSA) module prevents the loss of spectral characteristic information by focusing on spectral information within local spatial regions without reducing the channel dimension. Moreover, the Transformer Encoder(TE) explores the intrinsic correlation between spatial and spectral information. We conducted experiments on two datasets to validate the effectiveness of the proposed model. The results showed that the proposed SSAT significantly outperforms other methods.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Chihchen Kao, Mingyuan Chiang, Boren Hsueh, Bowen Wu
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 1351335 (2025) https://doi.org/10.1117/12.3047900
The magnification of an image is affected by the power and shape factors of the lens. Positive power lenses increase angular magnification, while negative power lenses decrease it. Factors like lens surface and thickness also playa role. In bi-focal glass lenses, these factors interact, adding uncertainty to magnification. To optimize ophthalmic bi-focal glass lenses, we used power and shape factors to calculate magnification. We combined the Taguchi method with fuzzy inference for optimization. The LS9 orthogonal table simplified experimental design, ensuring reliable data. This approach yielded bi-focal glass lenses with optimized magnification, culminating in an optimal design model.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 1351336 (2025) https://doi.org/10.1117/12.3047921
Thinning rate is an important index to judge the forming quality of single point Incremental forming parts. Excessive thinning rate not only restricts the development of this technology but also affects the performance of the parts. In this paper, a finite element model is established to verify the feasibility of a new process in which sheet metal is first hydraulically expanded and then single-point Incremental forming is carried out, and it is found that the different parameters of the tool head will lead to changes in the quality of the formed parts. Therefore, Taguchi method is used to analyze the three main factors affecting the thickness of the formed parts: the size of the tool head, the feed rate of each layer and the speed of the tool head. The average thinning rate and signal noise (S/N) of the parts under different levels of each factor are obtained, and the optimal parameter combination is obtained.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 1351337 (2025) https://doi.org/10.1117/12.3047931
The image enlargement depends on the lens's power and shape factors. Positive power increases magnification, while negative power decreases it. Additionally, factors like front surface shape, thickness, and refractive index also play a role. In bi-focal glass lenses, these factors interact unpredictably, increasing imaging uncertainty. To improve imaging magnification, we use power and shape factors. Combining the Taguchi method with principal component analysis(PCA), we refine the lens configuration. Using an "LS9" orthogonal array simplifies experimental design and ensures robust data collection. This approach yields bi-focal glass lenses with optimized imaging magnification. We've developed an optimal design model, promising more precise imaging control during lens fitting.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 1351338 (2025) https://doi.org/10.1117/12.3047935
Aiming at the problem of poor harmonization effect of images with excessive foreground background differences, an improved image harmonization method based on BargainNet model is designed. Firstly, the original structure of the generator is designed as a secondary sampling structure, and the secondary feature extraction is performed on the upsampled feature map, which optimizes the harmonization effect of the image with too large foreground background difference. Secondly, the feature pyramid network structure is combined with the jump connection structure of the generator, and the jump connection pyramid structure is designed to fuse the features of different scales. Finally, considering that the jump-connected pyramid structure increases the number of parameters of the network, the RSGC (Residual Structure with Ghost Convolution) module is designed to optimize the network's ability to express features and effectively reduce the number of parameters of the network. The optimized model is validated on the HVIDIT image harmonization dataset, and the mean square error (MSE) of the harmonized image generated by the improved network reaches 28.64, and the peak signal to noise ratio (PSNR) reaches 37.41dB, which significantly improves the harmonization effect.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Mingyuan Chiang, Chihchen Kao, Boren Hsueh, Bowen Wu
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 1351339 (2025) https://doi.org/10.1117/12.3047952
This study aims to develop an analytical framework for selecting form design, configuration, and optical properties, focusing primarily on chromatic aberration in additional glass lens. Optimization employs the L9 orthogonal array from Taguchi methodology, combined with IBM SPSS Statistics, to compute principal component characteristic values and determine the principal characteristic vector coefficient matrix of PCA. This method ensures high-precision experimental outcomes with minimal design iterations, facilitating the identification of optimal design combinations. The research begins with a literature review of optical quality parameters, followed by analysis of chromatic aberrations and optimization using Taguchi-PCA technique. Validation is done through variance analysis. The conclusion summarizes the additional glass lens selection model's contributions to design, practicality, analysis, innovation, and field progress.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135133A (2025) https://doi.org/10.1117/12.3048496
In order to ensure the safe operation of hydropower stations, a device state extraction and recognition method based on visual perception of inspection robots is proposed. The experimental results show that the proposed device state extraction and recognition method based on visual perception of inspection robots has the lowest recognition accuracy for buttons, switches, text, and instrument readings, which are 97.2%, 96.8%, 97.7%, and 94.7%, respectively. The average accuracy is 97.9%, 97.4%, 98.7%, and 95.3%, respectively, which are higher than other algorithms. In addition, the area under the working characteristic curve of the proposed method is 0.97, which is higher than other algorithms, and its accuracy recall curve completely envelops other algorithms. The above results indicate that the proposed equipment state extraction and recognition method based on visual perception of inspection robots can accurately identify the status of different equipment, providing strong support for the safe operation of hydropower stations.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135133B (2025) https://doi.org/10.1117/12.3048760
In order to achieve fast and accurate recognition of faces in surveillance videos, a face recognition method based on RetinaFace and MobileFaceNet is raised. The experiment outcomes indicate that the recognition accuracy and precision of face recognition methods based on RetinaFace and MobileFaceNet are the highest at 92.4% and 94.1%, respectively, and the lowest at 90.3% and 92.5%, respectively. The average accuracy and precision are 91.3% and 93.4%, respectively, which are higher than other algorithms. At the same time, the F1 mean of the proposed facial recognition algorithm is 92.2%, 90.2%, and the average F1 mean is 91.0%, which is also higher than other algorithms. The above results indicate that the proposed face recognition method based on RetinaFace and MobileFaceNet has excellent video face recognition performance and can provide strong support for public safety.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Shuangshuang Chen, Xiaojie Li, Kai Wang, Jibin Sun, Bo Yang
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135133C (2025) https://doi.org/10.1117/12.3048771
With the increasing popularity of automobiles, the occurrence of safety accidents is on the rise. Under the development of deep learning, the car networking system has been developed rapidly, and automobile intelligence has become possible. In order to meet the demand for body environment detection of intelligent vehicles and improve their detection performance, a large number of existing related target detection studies have been conducted, but there is still room for improvement in terms of accuracy and efficiency. The study proposes an optimized detection method of Mask Regional Convolutional Neural Network (Mask R-CNN) and combines it with SGBM binocular stereo vision ranging method to achieve target localization and distance range quantification around the car body. The results show that the method carries out the characterization of the pyramid structure (Feature Pyramid Network (FPN), MobileNet Version 3 Mobile-Segmentation (MobileNet-V3_MS), path aggregation network (PANet), and the target detection and distance range quantification. aggregation network (PANet), Channel attention (CA), Spatial attention (SA), and Semi-Global Block Matching (SGBM) optimizations have improved the performance of the Precision, recall, Dicc loss mAP and F1 are improved by 2.13%, 2.03%, 1.82%, 2.26% and 2.43% respectively. The proposed algorithm performs better compared to other image processing methods and achieves optimal performance with fewer iterations, converging to 97% accuracy at 100 iterations. Therefore the proposed method is very effective in the application of target ranging process in the environment around the car, which can improve the performance of the car networking system and provide a reference for car intelligence.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135133D (2025) https://doi.org/10.1117/12.3048775
Underwater wireless optical communication system has attracted much attention because of its high confidentiality, good security and strong defense ability against interference. However, the transmission of light under water is easily affected by various factors, resulting in the low quality of the channel. In order to reduce the energy loss in the optical transmission process of the underwater wireless optical communication system, the time consumed by the investigators for the communication channel experiment is reduced. A wireless optical communication system is developed based on the digital twin design. The system designed according to the bidirectional flow of digital twin data can adapt to the changeable channel environment, simulate the scene of the underwater communication system receiving light, and realize the test and research of the Marine underwater communication system. The experimental results show that when the underwater depth is 100m, the concentration of chlorophyll in water is about 0.23, and the attenuation coefficient of optical parameters at this time is 0.2, the absorption coefficient is 0.25, the scattering coefficient is 0.35, and the attenuation diffusion coefficient is 0.3. With the increase of the transmission distance of the light, the number of photons received by the observation surface decreases from 842,819 to 4,960. The constructed system can analyze the relationship between optical parameters and water quality in the communication channel, and the system performance is stable in the simulation test. Therefore, the Monte Carlo communication system based on digital twin proposed in this paper has application value in the study of characteristics of underwater wireless optical communication channels.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135133E (2025) https://doi.org/10.1117/12.3049162
In order to improve the testing efficiency and accuracy of the external interface and human-machine interaction page of the integrated display control system in the ground integrated test of helicopter avionics systems, shorten the development cycle of avionics systems, a helicopter avionics system interface and image automation testing platform was designed. By constructing an image acquisition and recognition subsystem, touch screen automatic testing equipment, automation testing software, and test management software, interface testing and image inspection of the helicopter integrated display control system were achieved, and the test report was automatically generated. The entire test process was automatically managed. The test results of the integrated display control system of a certain helicopter using this platform show that the average time for image acquisition, recognition, and interpretation is ≤5 seconds; The accuracy rate of image acquisition, recognition and interpretation is ≥98%. The test results show that the platform significantly improves testing efficiency and accuracy, reduces labor and time costs, and has engineering application value.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135133F (2025) https://doi.org/10.1117/12.3049262
The development of the information age has brought people rich and diverse data information, changed people's life and work mode, and raised the requirements of information mining and application. After entering the era of big data, in the face of the ever-increasing network information and data, how to mine valuable content from it and apply it into practice is the main topic of comprehensive exploration by scholars in various fields. Data mining and knowledge discovery technologies are the theoretical technologies generated from it, which have been comprehensively promoted in practice and development, and show strong vitality. It is one of the important fields of database research. On the basis of understanding the current situation of Chinese text data mining, this paper constructs a data mining model with data warehouse as the core according to the basic concepts, implementation process and knowledge types of data mining, clarifies the association rule algorithm applied in Chinese parts-of-speech data, and deeply discusses the structure and application function of Chinese parts-of-speech data and its association mining system. Finally, more valuable content is used in data analysis.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Shiling Zhang, Pengbo Wang, Yongsheng He, Liangjun Dai
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135133G (2025) https://doi.org/10.1117/12.3052279
This article is based on the physical field model with multiple physical field mechanisms, which enables the digital twin model to accurately simulate the behavior of physical objects. The driving model based on the reduced order algorithm enables the digital twin model to have good interaction and exploration of physical object mechanisms while ensuring computational accuracy. The visualization model enables the digital twin model to display the internal structure and state of physical objects in a detailed and intuitive manner. Grid data is the finite element mesh parameters obtained by finite element meshing of the bushing geometric model. Each node in the grid data not only participates in the calculation of the multi physical field of the valve side bushing, but also interfaces with the visualization model as the rendering basis for the visualization of valve side bushing. Therefore, constructing grid data requires grid node data and grid rendering data. The grid node data is stored in NAS (BDF) file format, and the grid rendering data is stored in STL file format.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Quanrui Huo, Yuqiao Ning, Chenya Bian, Dongqing Sun
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135133H (2025) https://doi.org/10.1117/12.3054402
With the increasing complexity of connected vehicle communication, the security of vehicle-to-vehicle communication (V2X) is becoming more and more important. As a common means of network attack, replay attacks seriously threaten the security of intelligent networked vehicles. By combining the unique advantages of hash chain technology and focusing on the common replay attack problem in V2X communication, this paper innovatively proposes an anti-replay attack scheme based on the fusion of hash chain and V2X communication, and constructs a set of secure and efficient communication scheme, which significantly improves the security and reliability of intelligent connected vehicle communication.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Buchao Wang, Jun Wang, Huan Liu, Wei Zhang, Ming Ni, Yitian Liu
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135133I (2025) https://doi.org/10.1117/12.3054407
With the increasing requirements for power supply systems and the continuous improvement of emergency rescue command center system construction, the requirements for early warning emergency systems are constantly increasing. Improve strategic planning, decision-making, and operational command capabilities by using charts, maps, and other visualization tools. Use map tools to provide the emergency command center with comprehensive on-site intelligence, quickly analyze terrain, disaster conditions, and the location of available resources, and conduct combat planning and on-site deployment. Based on the Geographic Information System (GIS) and related technologies, data such as resource location and target information are visualized to optimize emergency resource scheduling and combat decisions. The location, movement trajectory and working status of combat units and command nodes are displayed through charts and maps, the visualization of command links and information exchange is established, and the efficiency of combat command is improved. The expansion of map combat capabilities combines advanced information technology with strategic needs, and continuously explores and innovates new methods and tools to improve command decision-making efficiency, optimize combat effectiveness and ensure combat safety.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135133J (2025) https://doi.org/10.1117/12.3054408
With urbanization accelerating, the demand for rapid commuting has spurred development in suburban railway systems and heightened focus on ride comfort, particularly regarding interior noise. This study used Statistical Energy Analysis to create and validate a noise prediction model for suburban trains. The model, tested against real data, showed high accuracy. Findings revealed overall noise levels of 68-76 dB, with mid-carriages slightly noisier than end cabins. Noise in mid-carriages mainly comes from the bottom bogie area, while driver cabins experience noise from both the bottom bogie area and side structures. Key noise frequencies are between 315 and 2000 Hz, guiding targeted noise control efforts. The study enhances understanding of noise distribution and transmission, offering a basis for improving ride comfort and service quality
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135133K (2025) https://doi.org/10.1117/12.3054450
With the improvement of drone intelligence level and the development of cluster control technology, drones gradually play an important role in the war, and how to defend against drone attacks has also become an important topic of close-range defence. This paper analyses the combat scenario of artillery strikes against drone targets, and according to the vulnerability characteristics of drone targets, takes the artillery equipment ammunition as the object, designs the effectiveness simulation process from hit to destruction, develops the effectiveness evaluation software, and carries out the simulation calculation. The simulation results show that artillery munitions have a high probability of causing damage to drone targets at close range, and increasing the distance of the anti-air proximity fuse appropriately can also increase the probability of artillery munitions causing damage to drones.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135133L (2025) https://doi.org/10.1117/12.3054454
Harmonic reducers are widely used in various mechanisms of spacecraft, such as mechanism deployment, motion actuation, and precision pointing, due to their advantages of high single-stage reduction ratio, high transmission efficiency, small size, and large load capacity. For the application of spatial harmonic reducers in Solar Array Drive Assembly (SADA), in this paper, based on the envelope theory, a refined modeling of the commonly used double circular arc tooth profile harmonic reducer in space is completed. Static and transient dynamic finite element analysis of the complex harmonic model is carried out using ANSYS Workbench to study the motion and force distribution of the harmonic reducer under low-speed light-load conditions. The results are compared with those of the commonly used simplified tooth profile models to investigate the influence of tooth profile modeling on the calculation results, and a method to improve the convergence of the complex model is proposed. Based on the static and transient dynamic analysis results, fatigue analysis is conducted using nCode DesignLife, and the failure modes of the space harmonic reducer are identified, and conducted a lifetime prediction.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135133M (2025) https://doi.org/10.1117/12.3054627
An analysis and evaluation of the power supply scheme for unmanned aerial vehicles (UAVs) based on wireless charging technology (WCT) is carried out for UAV energy replenishment automation. Firstly, the structural composition, working principles, and characteristics of five types of WCTs, namely microwave, laser, electromagnetic induction, electric field coupling, and magnetic coupling resonance, are analyzed. Subsequently, an evaluation index system for WCT is established from the perspectives of functional performance characteristics, general quality characteristics, and application potential characteristics. Secondly, an indicator importance analysis based on the Analytic Hierarchy Process was proposed, and an evaluation model for the WCT scheme is established. Finally, combined with examples, data collection and processing are carried out, and the specific process of evaluating the WCT scheme is presented. The results indicate that at present, the magnetic coupling resonant WCT scheme is the best for wireless charging of drones for power supply.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135133N (2025) https://doi.org/10.1117/12.3054729
In the context of global urbanization, the rise of super tall buildings has brought new challenges to safety management. The development of artificial intelligence technology provides a new solution for the safety warning of super high-rise buildings. Random forest model is an integrated learning algorithm, which has good anti-noise ability and excellent prediction performance, can handle a large amount of data, and is not easy to overfit, so it is very suitable for constructing safety early warning system of super tall buildings. The comprehensive safety early warning system of super tall building constructed by random forest model algorithm can monitor and early warning the safety state of super tall building in real time, effectively reduce the safety risk of super tall building, and has important practical application value. In view of this, this study designed and verified a comprehensive safety early warning system that integrates real-time monitoring, data analysis and intelligent early warning, aiming at comprehensively monitoring building health status and timely preventing safety hazards. This paper discusses the overall design of safety early warning system of super tall buildings from the aspects of system architecture, key technology and early warning algorithm, and verifies the effectiveness of the system through typical building cases. The research focuses on intelligent early warning algorithm development, early warning level design and user interface optimization. Through technological innovation, this research builds a real-time, accurate and reliable warning platform for super tall buildings, which makes an important contribution to the safety, durability and sustainability of super tall buildings, lays a foundation for the construction of urban safety environment, and has important practical significance for the sustainable development of cities.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135133O (2025) https://doi.org/10.1117/12.3054838
User-side energy storage power stations are widely used, and their historical operating data will have a strong correlation with the operating data of energy storage batteries. By obtaining charging and discharging power data points of energy storage power stations every 15 minutes, the centralized/user side energy storage power station charging and discharging curve is formed. The energy storage power station charging and discharging curve can be effectively obtained through the least squares fitting method. Through the quantitative analysis of the 34228 data points, it was found that the typical charging and discharging types of typical six centralized energy storage power stations include "1 charge, 1 discharge", "2 charge, 2 discharge" and other typical charging and discharging curves. And the charging time is mainly concentrated in the time zone from 0:00 to 8:00 in the morning, followed by discharge during the peak period between 12:00 and 2:00, and discharge during the peak period from 8:00 to 10:00 in the evening. Generally speaking, for independent centralized energy storage power plants, the entire charging and discharging process can be completed within 2 to 3 hours. In on-site analysis of the energy storage power stations, there is significant difference in the SOC (State of Charge) between power charging and discharging, as well as power following the depth of battery charging and discharging. The range of SOC variation during power charging and discharging is between 20% and 100%, while during power following, the range of SOC variation is between 70% and 80%. This article takes actual 356 day operation data of centralized energy storage power stations as the research object, quantitatively analyzes the characteristics of charge and discharge data, and the research results have good guiding value for the operation and maintenance of user side energy storage power stations.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
xin Wang, Xuerui Zhang, Yao Ma, Abulaiti Abula, Lili Ma
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135133P (2025) https://doi.org/10.1117/12.3054895
Free-space optical (FSO) communication technology combines the advantages of fiber optic communication and wireless communication, but it requires laser sources and high precision tracking equipment in both transmitter and receiver, which results in complex system structure and high-power consumption. FSO using modulating retroreflector solves this problem in virtue of the special reverse reflection of passive devices. However, the laser carrier passes through the turbulent atmosphere twice, and it will cause more severe wavefront distortion of the optical signal, which greatly reduce communication performance and distance. The vortex beam providing with higher communication capacity has received increasing attention, but it is more susceptible to phase distortion. This paper investigates phase compensation technology in modulating retroreflector FSO propagation link using the Laguerre Gaussian beam as carrier. Based on the optical characteristics of the retroreflective optical link, this paper compensates the distorted phase of optical beam by using the interferometry and GS algorithm to reduce the impact of atmospheric turbulence and improve the quality of the echo beam. The feasibility and effectiveness of the compensation technology are verified through wave-optics simulations.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Xuerui Zhang, Limin Cui, Hao Ning, Peng Xie, Jing Ni
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135133Q (2025) https://doi.org/10.1117/12.3054897
The MRR terminal in modulating retroreflector (MRR) free-space optical (FSO) communication system is compact and low power consumption, and it is expected to be equipped on mobile targets with limited payload to achieve asymmetric flexible link. However, laser carrier passing through the turbulent atmosphere twice will cause more severe fading on the optical signal, and severely reduce the communication performance and distance. As the transmitted optical wave and the echo optical wave will meet at the transceiver terminal, they can naturally form homodyne detection to improve the receiver sensitivity and eliminate background light and thermal noise. The same laser source can also effectively suppress the influence of light frequency deviation and laser noise to improve coherence efficiency. This paper first establishes a structural model for coherent detection in MRR FSO system, and then provides analytical formulas for bit error rate (BER) performance of different typical modulation methods under the direct detection and coherent detection. Finally, a practical system configuration is set for the numerical calculation of the corresponding BER performance, and the impact of turbulence conditions and channel correlations on the BER performance is compared and analyzed, which are expected to provide some theoretical supports for practical system design and optimization.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135133R (2025) https://doi.org/10.1117/12.3054933
Joint optimization planning of new energy, energy storage, and power grid is very complex task, and its mathematical optimization model usually contains a large number of the variables and constraints, some of which are even difficult to accurately represent in model. The study shows that the charging and the discharging situations of the six energy storage stations (the Dayan Energy Storage Station) on September 1st were respectively counted. All six stations were charged during the low valley period in the evening (0:00-8:00), discharged during the peak period in the afternoon (12:00-14:00) for the first time, charged at the same level in the afternoon (17:00-20:00), and discharged during the peak period in the evening (20:00-22:00) for the second time. Daily power generation of each month exhibits the unique operating pattern, and the overall trend of power generation gradually increases in the first 8 months. And power generation characteristics of two typical energy storage power stations within 1-31 days are similar, with the main difference being that there are certain differences in the specific power generation.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Yishuai E, Shuo Zhang, Jun Wu, Tengfei Zheng, Yuan Zhang, Yingwei Wang, Jie Zhang
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135133S (2025) https://doi.org/10.1117/12.3055183
By innovatively applying high-precision scene perception technology, a digital elevation model (DEM) is established to simulate real-time 3D digital twin scenes of mining material transportation. Based on 5G low latency data transmission technology, timely response is made. Through the establishment of an integrated control system for precise positioning of mining cranes, anti sway of hoppers, safety protection, and intelligent scheduling and management of mining storage areas, unmanned, efficient, standardized, and safe operations at the mining yard site are achieved.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135133T (2025) https://doi.org/10.1117/12.3055273
In contrast to classical principal component analysis (PCA), the primary concept behind 2D face recognition involves the direct utilization of 2D matrices to construct the corresponding covariance matrix, rather than relying on a set of 1D vectors. This paper reviews two methods of 2D face recognition: two-dimensional principal component analysis (2DPCA) and bidirectional two-dimensional principal component analysis (BDPCA). In the context of 2D face recognition, singular value decomposition or eigenvalue decomposition is employed for dimensionality reduction, both of which require O(n3) time complexity. Consequently, we implement the Lanczos bidiagonalization algorithm for 2D face recognition, as this approach demonstrates significantly greater efficiency compared to singular value decomposition. Experimental results in face recognition indicate that the new method is competitive with existing techniques.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135133U (2025) https://doi.org/10.1117/12.3055275
As urbanization progresses, ensuring the safety and proper maintenance of underground drainage systems has emerged as a critical concern in managing urban infrastructure. Aiming at the inefficiency of traditional methods for detecting defects in underground drainage pipes, this paper proposes a defect detection model based on the improved YOLOv8 architecture. In order to obtain features at different scales for underground pipes in complex environments, the MSDA module was added to the YOLOv8 network to capture multi-scale features using a self-attention mechanism while reducing computational complexity through sparsity. The SCConv lightweight convolution module is integrated to exploit spatial and channel redundancies, effectively reducing redundant features while enhancing model performance. Experiments show that the improved model attains a precision (P) of 92.6%, a recall (R) of 89.9%, and a mean average precision (mAP) of 94.4%. Compared with the mainstream object detection algorithms RT-DETR, YOLOv8, and YOLOv10, map of the model is improved by 4.7%, 1.1%, and 3.5%, respectively. Comparison experiments with other models show that the improved model has more efficient and accurate detection.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Kang Lu, Yaoke Xue, Fei Gao, Qinfang Chen, Xun Xue, Hu Wang
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135133V (2025) https://doi.org/10.1117/12.3055301
Near space is currently a popular area for space research. The study of scientific laws in this region, especially environmental changes and their impact on nearby spacecraft, has become the focus of national attention. Although there are more and more studies on near space, there are few studies on the simulation of ambient light environment in near space. Near-space starlight simulation technology is a technology to simulate and study the observation characteristics and background light radiation characteristics of starlight targets, which is of great significance for the astronomical navigation and control of near-space vehicles. Therefore, this paper proposes the technical research of near-space starlight target simulation, and proposes a feasible starlight simulation scheme and an off-axis three-mirror optical system suitable for starlight simulation system. Based on the principle of spectral aliasing, the characteristics of starlight light source and background light source with different color temperatures are simulated by superimposing a continuum base light source and different color LED light sources, and then the spectrum to be simulated is generated through the combination of various systems. The system includes a starlight source and a multispectral light source simulation system (used to simulate stellar light and atmospheric background light respectively); off-axis triple inverted collimator(simulating starlight from infinity); and beam combiners (which inject starlight and background beams into the system under test).
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135133W (2025) https://doi.org/10.1117/12.3055310
In view of the safety problem of collision infrastructure caused by the high height of inland waterway navigation ships, the existing measurement technology cannot satisfy the fast and accurate measurement needs. By constructing a binocular camera combined LiDAR measurement system, this paper proposes a ship headroom height measurement method based on the combination of camera and LiDAR data, and compares it with the binocular stereo vision system. The clearance height of navigable ships can be measured quickly and accurately. In this method, the 3D point cloud collected by the LiDAR is matched and fused with some pixels of the 2D image, and the pixel compensation algorithm is derived according to the camera imaging model to make up for the shortage of the sparse point cloud of the LiDAR. The results of the experiment show that the measurement error of the height of the navigable ship is less than 0.1m, and this technology demonstrates greater accuracy compared to binocular stereo vision, which is 21.2% higher than that of binocular stereo vision, and the calculation speed is increased by about 337 times.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135133X (2025) https://doi.org/10.1117/12.3055523
Femtosecond laser irradiation of materials has the advantages of high peak power and small heat affected zone, which can effectively improve the accuracy of laser processing and the flatness of the processing surface. It has important practical value in precision manufacturing. This work takes carbon steel thin sheets as an example, based on a dual transport model, and uses finite element method to calculate the temperature distribution and temperature changes of the target material under multi pulse femtosecond laser irradiation. We studied the thermal accumulation process of multi pulse femtosecond laser ablation of metals and obtained the evolution curves of electron and lattice temperatures over time under different femtosecond pulse widths, as well as the three-dimensional temperature distribution inside the target material. Based on the transmission law of energy in materials, the cutting rate of femtosecond laser on carbon steel thin sheets under different pulse widths was calculated. The results indicate that each input of pulse energy causes the temperature of electrons to first rise and then fall back, and after the pulse ends, the electron temperature and lattice temperature reach equilibrium. During the thermal accumulation process, saturation effect occurs in the material temperature rise caused by laser pulses. When the pulse width of femtosecond laser increases, its peak power decreases, and the instantaneous temperature rise of electrons caused by it also decreases. The conclusion of this study can provide reference for improving femtosecond laser processing technology.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135133Y (2025) https://doi.org/10.1117/12.3056622
In the background of the energy and environment strategies of “carbon neutrality" and "emission peak", increasing the installed capacity of new energy power generation has become an inevitable trend. Among them, distributed photovoltaic power generation is flexible and efficient, and its installed capacity is increasing year by year. Rooftop photovoltaic grid-connected power generation systems are particularly popular in rural areas, and are connected to the power system through the distribution network. This article analyzes the composition of the rooftop photovoltaic grid-connected power generation system and develops the Matlab/Simulink modeling model of the rooftop photovoltaic grid-connected power generation system. By simulating the model, the faults of grid side are set up and the responses of system grid-side and source-side like the voltage, current and DC-side components are summarized.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Rui Li, Hui Hui, Ming Wang, Yang Zhao, Miao Zhao, Qianfan Zhou
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135133Z (2025) https://doi.org/10.1117/12.3056624
In this paper a predictive method using a fused model for separately processing data is proposed to address the strong stochasticity and variability in distributed photovoltaic (PV) power plants which cannot be adequately accommodated by traditional approaches. The data from the distributed PV plant are processed to meet the precision requirements of prediction. Firstly the isolation forest (iForest) algorithm is employed for data cleaning followed by data reconstruction through cubic spline interpolation for the cleaned data with missing values. Finally prediction is carried out using a stacking fused model with the input data having undergone feature engineering through correlation analysis. The effectiveness of the proposed method is confirmed through validation using real-world data.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 1351340 (2025) https://doi.org/10.1117/12.3056625
Thickness measurement of transparent films is an important application of chromatic confocal sensors. A fast separation algorithm for overlapping-peak signals was proposed and compared with the traditional method in terms of calculation accuracy and speed. Peak separation experiments were performed on overlapping-peak signals. Simulations and experiments show that this method can achieve a good computation accuracy and computation speed of milliseconds.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 1351341 (2025) https://doi.org/10.1117/12.3056627
With the more and more stringent testing requirements of signal analyzer in complex electromagnetic environment, its dynamic range has become one of the important indicators to determine the measurement effect. This paper mainly analyzes the principle and influencing factors of dynamic range, puts forward a number of improvement methods in RF front-end, and chooses power synthesis method and gain automatic regulation for verification. Through comparison, it can be seen that the method used in this paper has a remarkable effect on improving the dynamic range.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 1351342 (2025) https://doi.org/10.1117/12.3056629
Narrow Band Imaging (NBI) is an optical medical imaging technique that utilizes narrow band light to enhance the visualization of mucosa and tissues. NBI has been used to enhance traditional white light endoscopic imaging. A key feature of NBI is its ability to provide high-contrast images of blood vessels in tissues, especially compared to white light. For instance, in gastrointestinal cancer detection, specific narrow-band light such as green light, which is strongly absorbed by hemoglobin in the blood, is used to improve the visualization of blood vessels, aiding physicians in more precise diagnosis and evaluation. NBI can achieve multi-spectral imaging by using various colored lights for illumination or optical filters in white light endoscopes. In this study, we have developed a low-cost NBI multi-spectral system. The NBI system is built with multi-color LEDs into a handheld probe. The system was evaluated on oral mucosa and pigmented mole, demonstrating its promising potential in identifying and classifying pathological changes in epithelial tissues.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 1351343 (2025) https://doi.org/10.1117/12.3056634
This study constructs an intelligent control system based on Deep Q-Network (DQN) to improve control efficiency in complex dynamic environments. By employing methods such as input state preprocessing, control action design, and reward function optimization, the system achieves rapid convergence and high-precision control. Through multiple simulation experiments, the results show that the proposed DQN model outperforms the traditional Q-learning algorithm in terms of average cumulative rewards, control accuracy, and energy consumption, demonstrating significant performance advantages. The study indicates that the system possesses good adaptability and efficiency in intelligent control applications, providing important groundwork for future research.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 1351344 (2025) https://doi.org/10.1117/12.3056675
In the rapid development of social economy, the demand for cable in all fields of society is getting higher and higher, and cable has become one of the essential contents of urban construction and development. Cable tunnel is the use of concrete for laying cable channels, usually used in large engineering projects and large urban buildings. Understanding the construction and management of cable tunnel in China in recent years, the incidence of cable tunnel fire is getting higher and higher in recent years, which not only reduces the application safety of cable tunnel, but also threatens the local economic development and people's life safety, so how to solve the problem of cable tunnel fire has become a key issue for various departments to discuss. On the basis of understanding the current situation of cable tunnel fire safety, this paper defines the safety precautions of cable tunnel in the new era according to the intelligent cable tunnel fire warning and fire protection system architecture, so as to ensure the reasonable use of cable tunnel.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 1351345 (2025) https://doi.org/10.1117/12.3056677
In the development of China's power Internet construction, in order to better meet the characteristics of network transportation, the key technology to the edge computing framework as the core has been highly valued by the power industry. Nowadays, the professional information systems of China power grid Co., Ltd. have problems such as information cannot be shared and the level of intelligent management and control is low, which requires the power industry to create a smart iot system with existing technical means. On the basis of understanding the current operation status of the power network system, this paper mainly studies the optimized power Internet of Things system architecture and application functions based on edge computing, and then discusses the application effects of relevant technical functions combined with practical cases, so as to prove the application advantages of edge computing framework in the current power Internet of Things system.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 1351346 (2025) https://doi.org/10.1117/12.3056678
As a new type of distribution pole foundation, the branch and plate belled pile can significantly improve the wind resistance performance, and is especially suitable for use in the coastal strong typhoon landing area. However, there are few studies on the mechanical characteristics and wind-induced response of this type of foundation pole, and the influence of pile-soil interaction on the mechanical characteristics of distribution pole is not considered. Through the establishment of the pole pile soil finite element model, the dynamic characteristics of the new type of electric pole under the elastic constraint of the soil around the pile are analyzed, and the wind-induced vibration response of the consolidation constraint model under fluctuating wind excitation, the elastic constraint directly buried pile model considering the pile-soil effect and the new type of branch belled pile model are analyzed. The results show that the natural frequency of the structure with elastic constraints is lower than that of the consolidation model after considering the pile-soil interaction; compared with the traditional equal diameter pile, the structural stiffness of the belled pile with branches and plates increases slightly; however, the belled pile with branches and plates can increase the area of pile-soil interaction and prolong the time of wind-induced impact, so as to reduce the peak acceleration of wind-induced response and wind-induced dynamic load.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 1351347 (2025) https://doi.org/10.1117/12.3056681
In the rapid development of science and technology, the industry scale and development scale of China's power supply enterprises are getting larger and larger. Although it can better meet the demand for electricity in all fields, but a lot of problems have emerged in practice development. Under the background of the new era, electric power enterprises should not only consider the current market development status in their operation and development, but also put forward targeted and effective marketing strategies. Only in this way can electric power enterprises achieve stable development goals in a new environment. In order to deepen the reform of the electric power system, change the traditional monopoly market position, and solve the contradictions and conflicts brought by technological development, some scholars proposed to design and apply the electric power information platform to deeply explore the problems existing in the electric power marketing system. Therefore, after understanding the practical significance of the construction and application of power information platform in the era of big data, this paper combined with the intelligent power grid operation and maintenance management platform and real-time power quality monitoring system with big data as the core, to clarify the system design and benefit evaluation results, in order to provide technical support for the reform and development of power enterprises in the new era.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 1351348 (2025) https://doi.org/10.1117/12.3056686
The purpose of this article is to explore the role of nanostructures in optical regulation and the application of condensed matter physics theory in photonic crystal design. By studying the influence mechanism of nanostructures on light, it is expected to provide new ideas for the design and performance optimization of optical devices. The results show that the shape, size, composition and external environment of nanostructures can effectively control their optical properties, especially the surface plasmon resonance and other effects significantly affect the light interaction. Furthermore, these nanostructures are embedded in photonic crystals, and the periodic structure of photonic crystals is used to accurately manipulate light. The experimental results show that high-efficiency optical properties can be achieved by reasonably designing the combination of nanostructures and photonic crystals. The combination of optical control of nanostructures and condensed matter physics theory in photonic crystal design will open up a new road for the innovation and application of optical technology and is expected to promote the development of the next generation of efficient optical devices.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 1351349 (2025) https://doi.org/10.1117/12.3056690
In this paper a comprehensive study of remote sensing for Fe-polymetallic skarn deposits is carried out in Yemaquan exploration area by means of remote sensing anomaly information extraction and lithologic information enhancement of ore-controlling strata, based on remote sensing and geophysical and geochemical data. Several key exploration areas are selected in Yemaquan research area, firstly, image information enhancement methods for the lithology of ore-controlling strata of Fe-polymetallic skarn deposits are studied, the best enhancement schemes for different lithologic strata are analyzed by comparing the results of various methods such as color transformation, decorrelation and MNF transformation. Secondly, based on the analysis of main alteration types and spectral information of altered minerals in Fe-polymetallic skarn deposits in the region by Aster multispectral data, using the methods of spectral index and principal component analysis to carry out the comparison of related mineral remote sensing anomaly extraction, summing up the applicability of each method. At last by analyzing and choosing typical blocks to carry out the analysis of ore-controlling factors, high-precision remote sensing interpretation of key blocks, and combining with existing geological and geophysical and geochemical exploration data to carry out comprehensive analysis and research of key blocks, the metallogenic regularity is analyzed and summarized, so as to further delineate the favorable areas for prospecting and to be the iron polymetallic deposits in Yemaquan area.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135134A (2025) https://doi.org/10.1117/12.3056697
The existence of burnt rock seriously affects the safety of coal mine production. In this paper, the airborne hyperspectral remote sensing image (CASI/SASI) was used as a main data resource in Rujigou Coalfield, Ningxia. Preprocesses, such as radiometric correction, radiometric calibration, atmospheric correction (spectral reconstruction) and geometric correction were carried out with ENVI5.1. Meanwhile, ASD FieldSpec® Pro FR portable spectrometer was used to test spectrum of all samples from burnt rocks, for extraction and analysis spectral characteristics. Based on ground spectral data processing and comparative analysis, the Mixture Tuned Matched Filtering (MTMF) method was used to extract the boundary of the burnt rocks, and eventually we got the distribution map of burnt rocks in the study area. After geological comprehensive analysis and field survey, the distribution of burning rocks in the field was basically consistent with the boundary extracted from hyperspectral remote sensing image. The result indicated that the CASI/SASI image had good application results and shew a promising potential in burnt rocks survey, which could provide a basic method for hyperspectral remote sensing prospecting in the same or similar unexplored areas.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135134B (2025) https://doi.org/10.1117/12.3056698
The mining of coal resources in Yanghupan has caused a large area of land surface subsidence within the mining area, which has seriously affected the production and life of local people. In this paper, multi-view Sentinel-1A data from Yanghuopan Coal mine was selected and SBAS-InSAR technology was adopted to conduct fine monitoring of the mining area through multi-time series SAR images (October 2017 - May 2019), so as to realize high-precision monitoring and early warning of mining area safety production. The monitoring results show that there are four large subsidence centers in the eastern part of Yanghupan mining area, with the maximum shape variable of -85mm/y and the cumulative shape variable of -128mm. Subsidence is still occurring in the surface deformation area found in the mining area.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135134C (2025) https://doi.org/10.1117/12.3056710
With the high proportion of new source loads such as distributed power sources, electric vehicles, and energy storage, as well as the rapid development of new models and formats such as microgrids, integrated energy, and virtual power plants, the distribution network is gradually transforming from a power network that simply receives and distributes electricity to users to a power network that integrates source grid load storage interaction and flexibly couples with the higher-level power grid. In recent years, State Grid Economic and Technological Research Institute has focused on original technology research and development in the field of distribution networks, fully supporting the construction of original technology source areas. It has developed a distribution network simulation calculation and analysis platform with completely independent intellectual property rights, supporting the construction of new distribution systems in multiple regions. The development of new source loads may lead to local concentration and overall imbalance, resulting in significant differences in load rates between different regions and lines of the distribution network. This often leads to issues of insufficient or unusable equipment capacity, which is not conducive to improving the overall quality and efficiency of the distribution network. The State Grid Economic and Technological Research Institute, in collaboration with the United Nations Grid Tianjin Electric Power Company, has established a flexible interconnection technology system for distribution networks, developed the world's first set of corresponding flexible interconnection power electronic equipment, and implemented it in the Beichen National Industry City Integration Demonstration Zone in Tianjin. After the project is put into operation, the load balancing degree of the demonstration zone's power grid has reached over 99%, the power supply capacity of the power grid has increased by nearly 40%, and important industrial enterprises have achieved "zero power outages".
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135134D (2025) https://doi.org/10.1117/12.3056711
In the wave of science and technology in the new era, the research and application of deep learning biological information algorithms are bringing revolutionary breakthroughs to the medical field. Recently, researchers have used deep learning techniques by combining the mechanisms of long non-coding Rnas (lncrnas) in neurogenesis to ensure that they work together to ensure normal development and functional maintenance of the nervous system. Non-coding RNA (ncRNA) constitutes a higher proportion of nucleic acids compared to coding RNA. Unlike protein-coding RNA, ncRNA is transcribed from DNA but does not undergo translation into proteins; instead, it functions as a functional RNA molecule.In recent years, research on ncRNA has deepened, and the development of ncRNA recognition algorithms has aided in understanding the functions of ncRNA, gradually revealing its growing importance in regulatory processes. An increasing number of ncRNAs have established their significant roles in the fields of disease, reprogramming, and differentiation. In disease research, researchers have developed databases and computational methods based on these databases to predict the relationships between diseases and related ncRNAs. In the field of reprogramming and differentiation, miRNAs, a well-studied subgroup of ncRNAs, have shown considerable progress. MicroRNAs can act on transcription factors (TFs) and other regulatory factors involved in reprogramming, thereby enhancing reprogramming efficiency. From a developmental biology perspective, certain miRNAs, such as miRNA-124 or let-7a, can interact with their target genes to regulate neural cell development. Recent studies have increasingly focused on the role of long non-coding RNAs (LncRNAs) in the fields of cellular reprogramming and developmental biology. Researchers have discovered that specific LncRNAs promote neuron differentiation, influence the expression of neighboring genes, and serve as key modulators of signaling pathways. Additionally, LncRNAs and miRNAs can jointly regulate neurogenesis. Understanding these mechanisms and research advancements may contribute to the future development of ncRNAs in the fields of disease, reprogramming, and developmental biology.The application of deep learning bioinformation algorithm in lncRNA research has brought new hope for neuroscience and clinical medicine. In the future, with the continuous progress of technology and in-depth research, lncRNA is expected to play an important role in more disease fields and make greater contributions to the cause of human health.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135134E (2025) https://doi.org/10.1117/12.3056736
This article applies the time series analysis algorithm based on grey system to predict the variation sequence of SF6 gas decomposition product volume fraction over time in high-voltage GIL/GIS power equipment under fault conditions, as well as the time series of mechanical vibration signal parameters of power equipment under defect conditions. Based on this, wavelet analysis technology, high pass, low-pass, and band-pass filtering techniques are further applied to denoise and filter mechanical vibration signals, and intelligent algorithms are used to perform cluster analysis on typical fault types of high-voltage GIL/GIS power equipment. On the other hand, the grey system OBGM (1, N) model and GM (1,1) model were respectively applied to fit and predict the time series of the SF6 characteristic decomposition gas product volume fraction, and application effects of the two grey system models on the actual SF6 characteristic decomposition product time series were compared and analyzed. This software focuses on the fault diagnosis and the operation status evaluation of high-voltage combination electrical GIS/GIL power equipment by combining mechanical vibration signals and chemical signals. It applies the typical fault intelligent clustering algorithms and the grey systems to practical power engineering scenarios, especially suitable for small databases and information poor applications.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135134F (2025) https://doi.org/10.1117/12.3056737
This article applies the structural dimensions of the switchgear, the multi physics analysis is used to establish the internal model of the gas chamber, which mainly includes the main busbar, busbar sleeve, the vacuum arc extinguishing the chamber shell, the internal insulation cone, the three position isolation grounding switch, connection device and other components. The various parameters in the actual C5F10O gas insulated switchgear are distributed parameters, but in practical analysis, the centralized parameter chain network is usually used instead of the actual distributed parameters to construct equivalent circuit of winding under the impulse voltage. Due to the high frequency of impulse voltage and the small ratio of winding resistance to inductive and capacitive reactance, the damping effect of resistance can be ignored in analysis. The sensing system for the H2O and HF gas detection was designed using the 1392nm and 1278nm DFB lasers combined with absorption spectroscopy technology. The display host LCD circuit is powered by the 5V power supply, while the general digital circuit is powered by the 3.3V power supply. This system uses the TPS5430 DC-DC buck chip to reduce the voltage to 5V, then uses the LDO chip LM1117-3.3 to reduce the voltage to 3.3V for use in digital system.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135134G (2025) https://doi.org/10.1117/12.3056761
Axial Velocity Density Ratio (AVDR) is an important parameter to check the two-dimensionality of cascade flows. In the present study, the effect of AVDR has been investigated on a high subsonic stator. An automatic optimization design method is used to obtain the optimal profile with different density ratio. Detailed Computational Fluid Dynamics (CFD) studies were carried out with different blade profiles under three different AVDRs and three different inlet Mach numbers. Key aerodynamic performance parameters and flow structure through the cascade were analyzed in detail. At zero Angle of attack, when the inlet Mach number is constant, the peak Mach number and position of each blade profile have no obvious change with the increase of AVDR, and the leading edge load decreases, while the middle and rear load gradually increases. With the increase of inlet Mach number, the peak Mach number of each blade increases gradually, but the position remains unchanged.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135134H (2025) https://doi.org/10.1117/12.3056777
The ratio of decomposition products with physical meaning is used as quantity: c(SO2F2)/c(SOF2) c(CF4)/c(CO2) and c(CF4+CO2)/c(SO2F2+SOF2) used to treat four different typical defects (metal protrusions air gaps metal particles and...). Maintain the room temperature of 20°C and constant humidity of 40%. Obtain the corresponding relationship between local overheating temperature and decomposition products through experiments. Use temperature controller to control local overheating hot-spot temperature at the fixed value. Experimental temperature range is 200°C~575°C. The power system for C5F10O gas can control the output voltage by adjusting the air pressure of the Marx generator and the main switch. The single-stage charging capacitor of the Marx generator is 40nF and the output pulse rising edge is as fast as 30ns half width is 500ns output pulse amplitude is up to 250kV and short-circuit current can reach 40kA. The order of the generation of the seven decomposition components of C5F10O from easy to difficult or from the high to low is as the follows: CO>C3F6>C2F6>C2F4≈C3F8>CF4. As the frequency increases the dielectric loss tangent of the cardboard at different temperatures also shows the process of first decreasing and then increasing. However for the frequencies ranging from 100 to 103 variation in the tangent of the loss angle is relatively small at the low temperatures while it is relatively large at high temperatures.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135134I (2025) https://doi.org/10.1117/12.3056790
To deal with the frequently encounter link disconnections due to the rapid movement between the nodes in heterogeneous satellite constellations, different from traditional fixed time slot-based topology optimization method, this paper proposes a variable time slot-based topology optimization approach. The lengths of the variable time slots are based on the Jaccard similarity value of the visibility relation between neighboring initial fixed time slots. After determining the lengths of the variable time slots, a multi-objective topology optimization model is established, with total inter-satellite links distances and cluster coefficient of the satellite networks as optimization objectives. Genetic Algorithm is utilized to solve the proposed multi-objective topology optimization problem. Compared numerical simulations regarding to fixed time slot-based and variable time slot-based topology optimization have been conducted, and the results show that variable time slot-based topology optimization method can rapidly optimize the topology and better satisfy the constraints under the situation of drastic changes in inter-satellite visibility.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Yaqian Liu, Zuheng Ming, Bo Zhang, Liang He, Kaixing Zhao
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135134J (2025) https://doi.org/10.1117/12.3056820
Real-time detection of Remote Sensing Imagery (RSI) with a wide background and small targets is challenging in various fields. Multimodal data fusion and enhancing CNNs with Transformers can improve detection performance. The approach combines complementary information from different modalities and leverages CNNs’ feature extraction capabilities. Transformers capture global information and learn sequence dependency without requiring large data samples. The goal is to achieve accurate and efficient target detection in applications such as fire detection, military reconnaissance, and autonomous obstacle avoidance. We developed MSTR-Darknet, an improved backbone network for object detection in Remote Sensing Imagery. We removed the focal module in YOLOv5 to maintain high-resolution characteristics and achieve better performance by sacrificing a small amount of speed. We replaced the last layer with a STR module for improved connectivity with global information. We also used pixel-level fusion to extract information from different modalities for more effective feature representation of small objects in RSI. Secondly, in the multi-scale feature fusion stage, we designed Tini-BiFPN, a more effective weighted feature fusion network, for efficient cross-scale feature fusion. Given the excellent contextual relationship integration capabilities of transformers, we also integrated transformer modules into the feature fusion network to identify attention regions in scenarios with dense objects, leading to an improvement in mAP performance
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135134K (2025) https://doi.org/10.1117/12.3056825
In the reform and development of modern education, in order to improve the efficiency of practical teaching, the field of education, after repeated verification of classroom teaching, uses data management technology, network information technology and multimedia technology to create a three-dimensional teaching system with multimedia perspective as the core, whose purpose is to orderly achieve teacher-student interaction, share teaching resources, and scientifically arrange teaching progress. Comprehensively control student information, so as to reflect the application value of digitalization and intelligence in the field of education. On the basis of understanding the traditional teaching mode and the requirements of multimedia teaching, this paper mainly explores the structure and application function of three-dimensional teaching system with multimedia technology as the core. Then, from the perspective of curriculum ideological and political education, it makes clear the design and implementation of the system function, in order to provide technical support for the reform of college education.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135134L (2025) https://doi.org/10.1117/12.3056834
Digital circuits play a crucial role in modern society, but their increasing complexity has led to more complex and difficult to diagnose fault problems. DL (Deep Learning), as a data-driven method, has made breakthrough progress in multiple fields in recent years. In the field of digital circuit fault diagnosis, DL has the advantages of automatic feature learning, adaptability, large-scale data processing, and multimodal data processing. This study aims to develop an efficient and accurate digital circuit fault diagnosis and prediction model using DL technology, in order to improve the reliability, performance, and safety of digital circuits. Finally, the research results show that the loss function of the small batch gradient descent algorithm has initially converged after 55 iterations of training, and the convergence of the loss function has stabilized after 95 iterations of training. The classification accuracy of the training set is close to 100%, and the error value of the loss function has decreased to around 0.01. It can be observed that during the training process, there are small local fluctuations in the accuracy and loss function curves, but the entire training process converges quickly and has a good degree of fitting.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135134M (2025) https://doi.org/10.1117/12.3056892
The integration of distributed power supply into the distribution network is an important trend in the development of the current new power system. In view of the problem that the system can not quickly and accurately obtain the fault type and locate the location of the fault when the current distributed power distribution network fails. Introduce a detection method to optimize the current fault analysis system of distribution network based on the grey Wolf pack algorithm (Grey Wolf Optimization, GWO), and optimize the fault detection algorithm based on the optimization of distribution network structure. In addition, a complete analytical model of complete fault information such as medium calculation, misoperation and action is constructed to improve the analytical model of detecting complex fault situations in the distribution network. Through example analysis, the effectiveness of the fault detection model of distributed power distribution network based on gray Wolf swarm algorithm is verified, reducing the probability of fault miscalculation of distribution network to a certain extent, and solving the problem of low accuracy and slow speed of distribution network fault detection in the traditional algorithm.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135134N (2025) https://doi.org/10.1117/12.3056894
With the development of information technology, industry 4.0, mobile applications, etc., the volume of data has shown explosive growth, NoSQL databases are widely used to support data storage and access services. To resolve the write amplification problem for the common storage architecture LSM-Tree, this paper proposes a novel merge scheme, namely LSMA-Tree, by combining the reading technique of leveling scheme and the writing technique of tiering scheme. For each layer of LSM-Tree, this paper maintains the order of the whole key by files like leveling scheme. Furthermore, in the merging stage of the upper and lower files, LSMA-Tree adopts the "append" rather than "reorganization" method to avoid the read and write operations of the lower files, thereby reducing the number of disk IOs. This paper also designs a new sstable file structure to adapt to the proposed LSMA scheme, and implements and verifies it on LevelDB. Experimental results show that the proposed LSMA scheme can effectively reduce write amplification and improve write performance by more than 50%, while the impact on read performance is less than 5%.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135134O (2025) https://doi.org/10.1117/12.3056903
Under the background of economic reform and development, with the continuous improvement of social economy and living standards, the demand for electricity of urban residents is increasing, and the demand for electricity and quality requirements are becoming more and more complex, so the power enterprises should meet the needs of people in the gradual development. Substation risk operation and maintenance control is of great significance to the long-term and stable development of electric power enterprises, which can not only reduce power cost expenditure, but also improve the comprehensive level of substation operation and maintenance management. Therefore, after understanding the uniqueness of substation operation and maintenance management, this paper, based on the common maintenance risks during the operation of substation, This paper mainly studies the architecture of substation operation and maintenance management system with big data technology as the core, and then proposes how to improve substation operation and maintenance management ability and reduce power cost from the perspective of development.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135134P (2025) https://doi.org/10.1117/12.3056922
This article conducts in-depth research on the construction of UAV (Unmanned Aerial Vehicle) infrared inspection system for power transmission lines. With the increasing complexity of the power system, the maintenance and inspection of transmission lines have become key to ensuring the stable operation of the system. Traditional manual inspection methods have problems such as low efficiency, high cost, and safety hazards. This study mainly explores the application of optimized flight path algorithm in UAV infrared transmission line inspection. To verify the effectiveness of the proposed method, this study conducted experimental verification in a real transmission line environment. The experimental results show that in stability testing, the stability before optimization is poor with significant fluctuations, while the stability after optimization is more stable, maintaining an average flight distance of around 567. It can be seen that the flight path optimization algorithm proposed in this article has significantly improved the infrared inspection efficiency of UAV. In summary, this article provides an efficient and safe new method for UAV infrared inspection of transmission lines, making positive contributions to the modernization and intelligence of the power industry.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
Proceedings Volume The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135134Q (2025) https://doi.org/10.1117/12.3057263
Controlling the cutting position precisely is crucial for ensuring cigarette quality and improving production efficiency in the cigarette manufacturing process. Currently, density and moisture meters based on microwave technology are widely used in the tobacco industry to measure the cutting position of cigarettes. However, there is a lack of equipment calibration methods. To address this issue, a calibration kit with an imitation cigarette strip structure is designed, based on the density distribution characteristics at the dense-end position. Density calibration, uncertainty evaluation, cutting position calibration, and tests for repeatability and stability were conducted. The results indicate that: 1) The average error is reduced to 0.96mg/cm3 (≤3mg/cm3) after density calibration with the designed calibration kit. 2) The average error between the calculated value and the true value is 0.38mm, which meets the daily production requirement (≤1mm). The repeatability and stability are less than 0.5mm, demonstrating the validity and reliability of the calibration. Additionally, the cutting position calibration test shows that the calibration kit and method presented in this paper have good applicability, providing a solution to reduce the inter-device variability between different pieces of equipment.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.