KEYWORDS: Infrared countermeasures, Monte Carlo methods, Sensors, Data modeling, Data fusion, Performance modeling, Design, Data processing, Target detection, Mathematical modeling
A mathematical model has been developed to assess the performance of different multi-sensor systems for maritime targeting applications. This model simulates the performance of two imaging cameras (visible band and infrared) together with an RF sensor. Time-dependent sensor data streams are generated, and salient target detection information is extracted using a data fusion architecture, the output of which gives closed-loop guidance commands for use within an engagement trajectory model. Gaining confidence in the model was required at two levels. Firstly, there was the need to verify that the model was correctly implemented and, secondly, the validation of the model predictions against the anticipated behaviour of a real system. To achieve the required level of confidence, a Test, Verification, and Validation (TV&V) framework was developed based around sensitivity analysis. The sensitivity analysis used single and multiple parameter variations in either defined steps or else with random values within a Monte-Carlo engagement. Multiple parameter variation was found to be particularly effective in determining issues within both the implemented model and the efficacy of the proposed system design. To visualise large volumes of data, various methods were examined, with the presentation in a time-varying polar plot form being considered the most effective.
At present, one of the most popular services through internet is on-demand services including VOD, EOD and NOD. But the main problems for on-demand service are excessive load of server and insufficiency of network resources. Therefore the service providers require a powerful expensive server and clients are faced with long end-to-end delay and network congestion problem.
This paper presents a new distributive web-caching technique for fluent VOD services using distributed proxies in Head-end-Network (HNET). The HNET consists of a Switching-Agent (SA) as a control node, some Head-end Nodes (HEN) as proxies and clients connected to HEN. And each HEN is composing a LAN. Clients request VOD services to server through a HEN and SA. The SA operates the heart of HNET, all the operations using proposed distributive caching technique perform under the control of SA. This technique stores some parts of a requested video on the corresponding HENs when clients connected to each HEN request an identical video. Thus, clients access those HENs (proxies) alternatively for acquiring video streams. Eventually, this fact leads to equi-loaded proxy (HEN).
We adopt the cache replacement strategy using the combination of LRU, LFU, remove streams from other HEN prior to server streams and the method of replacing the first block of video last to reduce end-to end delay.
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