KEYWORDS: Machine learning, Safety, Data modeling, Education and training, Analytical research, Statistical analysis, Industry, Data communications, Manufacturing, Intelligence systems
This article examines the use of machine learning to prevent incidents and occupational hazards at the workplace. The authors have analyzed existing research in this area and have demonstrated the possibility of use of the machine learning to predict risks and prevent incidents. Specifically, the authors studied the methods of logical regression and classification to analyze data on past incidents. The results of the study showed that the use of machine learning can significantly improve the accuracy of risk prediction and enable more effective incident prevention. The importance of introduction of machine learning is discussed in the context of workplace safety and directions for further research are suggested. Overall, the article is an important addition to the general literature on the use of machine learning in the field of workplace safety and provides an opportunity to better understand the background and improve the accuracy of risk prediction and incident prevention at the workplace. The study is of interest to scientists, practitioners and politicians involved in workplace safety, as well as to those who are involved in the development and implementation of machine learning systems.
Theoretical information about network equipment and protocols for their interaction, information about implemented hardware, such as switches and routers in connection with the active spread of such a profession as a programmer are considered in the article. The introduction of a large number of information equipment in people's lives has led to a global transformation of the digital space. Due to the digital transformation and the need for uninterrupted and high-quality sending of information over long distances with minimal losses, as well as the need to introduce theoretical and practical material on modern technologies for information data transmission networks, principles for constructing telecommunications systems and networks are being developed, specialized hardware for resolving configuration issues by checking the functionality of networks is being designed. In the work, authors have analyzed the demand for the transfer of information data today, have noted the principles of interconnection and building of local networks, have reflected the revised and supplemented material of the manuals. Information about the functioning of devices is also presented on the example of CISCO software and hardware. Based on the studied data, a step-by-step instruction has been developed to teach students to network security technologies, gain theoretical knowledge about the main commands used in the Cisco IOS operating system and about the concept of configuration. It is noted that in order to carry out proper configuration of network equipment, it is necessary to use a software network emulator called Cisco Packet Tracer. On the basis of the data, a laboratory work has been developed. This laboratory work allows to develop the professional competencies of young specialists. Due to the presented work, engineers consider the features of the operation of switches and routers, study the routing of networks and other software and hardware devices.
The role of packet switching technology for modern networks is analyzed. "Cisco Packet Tracer" software network emulator is considered to determine the functionality of configuring networks, as well as the formation of professional competencies of students in the field of network technologies. The positive and negative aspects of working with a network resource are given. The Cisco Virtual Academy is being analyzed. This allows to highlight the actual problems and features associated with the tasks of forming a student as a highly qualified specialist in the field of packet switching.
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.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
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.