scholarly journals Research on operational effectiveness evaluation based on information entropy method

2020 ◽  
Vol 1633 ◽  
pp. 012133
Author(s):  
Jianjun Wang ◽  
Tao Yu ◽  
Xiaolin Liu ◽  
Su Meng
2019 ◽  
Vol 277 ◽  
pp. 02010
Author(s):  
Niping Jia ◽  
Zhiwei Yang ◽  
Kewei Yang

In this paper, we propose an operational effectiveness evaluation method of the swarming UAVs air combat system. The system network model is firstly established before the evaluation. We divide the edges in the network into nine types according to the Generalized Operation Loop and give the edge attribute of operational information entropy based on node attributes. When calculating the system operational effectiveness, we focus on the striking ability and propose the concept of Operation Loop Capability to represent the target-attack effectiveness of a certain operational loop, which can be calculated from the edge operational information entropies. We can get the combat effectiveness to a certain target from the Operation Loop Capability, and the combat effectiveness of the swarming UAVs air combat system is represented by the sum of the striking capabilities to all targets. Finally, the scene of swarming UAVs air combat is taken as a case study to apply and verify our evaluation method. This paper gives a quantitative perspective on swarming UAVs combat system assessment and can help to analyze the contribution of UAVs and other weapons in the system.


2011 ◽  
Vol 94-96 ◽  
pp. 210-213
Author(s):  
Qiu Ping Wang ◽  
Yan Hua Yu

Based on the design of general layout and transportation optimization of a variety of factors, established a program evaluation system, the theory of fuzzy mathematics general layout and transportation design a comprehensive evaluation. For the fuzzy weight of each factor to determine the application of an objective method of empowerment from the perspective of information entropy to determine the factors enabling the weight of each evaluation index, fuzzy comprehensive evaluation of the results obtained. To detail with an example.


2020 ◽  
Vol 8 (3) ◽  
pp. 222-227
Author(s):  
Faisal Dharma Adhinata ◽  
Muhammad Ikhsan ◽  
Wahyono Wahyono

CCTV cameras have an important function in the field of public service, especially for convenience. The objects recorded through CCTV cameras are processed into information to support service satisfaction in the community. This study uses the function of CCTV for people counting from objects recorded by a camera. Currently, the process of detecting and tracking people takes a long time to detect all frames. In this study, the frame selection into keyframes uses the mutual information entropy method. The keyframes processing uses the Histogram of Oriented Gradient (HOG) and Kalman filter methods. The proposed method results F1 value of 0.85, recall of 76 %, and precision of 97 % with winStride parameter (12,12), scale 1.05, and the distance of the human object to CCTV 4 meters.


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