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2010 International Conference on Computer Modeling and simulation, ICCMS 2010

作者： Zhang, Ying-Chao Zhang, Jing Chen, Xin Yu, Qin-Zhang Zhang, Hao Beijing Institute of System Engineering National Key Laboratory of Science and Technology on Complex Systems Simulation Beijing China

ISBN: (纸本)9780769539416

For the purpose of achieving high-performance information sharing in the simulation grid, an information capability-based Three Phase High-performance Information Sharing Approach (TPHPISA for short) is advanced. The main idea of TPHPISA is selecting those information sources with highest information capability and executing the best query plan. To illustrate how TPHPISA works, an application example of implementing high-performance information sharing in the stock market simulation grid is thoroughly analyzed. At last, the searching efficiency and accuracy of TPHPISA are demonstrated through comparing with other similar method. © 2010 IEEE.

关键词： Information analysis

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Product line architecture for TT&C software support framework 27

Product line architecture for TT&C software support framewor...

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27th Conference of Spacecraft TT and C technology

作者： Wang, Zhilin Li, Xinming Li, Dongdong Beijing Space Information Relay and Transmission Technology Research Center Beijing100094 China Science and Technology on Complex Electronic System Simulation Laboratory Beijing100092 China

ISBN: (纸本)9783662446867

One of the most promising techniques to improve the quality and productivity of TT&C software is product line engineering, the core of which is the product line architecture for TT&C software support framework (PLATSSF) which is of great help to improve the reusability of architectural design. Since component models are cornerstones of support framework design, the characteristics of them including variety, common requirement and variant requirement were firstly analyzed. Then, mainly by analyzing the three stages of TT&C software, which include development deployment and runtime, the structure of PLATSSF is designed. Thirdly, the function of PLATSSF is instantiated by adding a new satellite to the framework. In this instance the software requirements are analyzed and the contents of software development are provided. In conclusion, PLATSSF implements the production of the TT&C software series, reduces the workload of software development and improves the software quality. © Tsinghua University Press, Beijing and Springer-Verlag Berlin Heidelberg 2015.

关键词： Software design

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Modified ddpg algorithm applied to simulation supervised learning 48

Modified ddpg algorithm applied to simulation supervised lea...

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48th International Conference on Computers and Industrial Engineering, CIE 2018

作者： Jia, Zhengxuan Xiao, Yingying Zhao, Zhilong Lin, Tingyu State Key Laboratory of Intelligent Manufacturing System Technology Beijing Institute of Electronic System Engineering Beijing China Beijing Complex Product Advanced Manufacturing Engineering Research Center Beijing Simulation Center Beijing China Science and Technology on Space System Simulation Laboratory Beijing Simulation Center Beijing China

With rapid development of machine learning, supervised learning and reinforcement learning have witnessed a considerable success. However, some problems like the absence of supervising signal in supervised learning are not yet solved. In this paper, a novel approach has been proposed based on the deep deterministic policy gradient algorithm to address such kind of problems, forming the training of an agent supervised by the simulation environment. As verification, our proposed approach is applied to a modified tower defense game, and the experimental results confirmed the effectiveness of our proposed approach. © 2018, Curran Associates Inc. All rights reserved.

关键词： Supervised learning

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Modeling and simulation of international politics evolution in crisis

Modeling and simulation of international politics evolution ...

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2010 International Conference on Computer Modeling and simulation, ICCMS 2010

作者： Yu, Qin-Zhang Zhang, Jing Zhang, Ying-Chao Beijing Institute of System Engineering National Key Laboratory of Science and Technology on Complex Systems Simulation Beijing China

ISBN: (纸本)9780769539416

Under the guidance of the theories of complex Adaptive system and Artificial Societies, modeling and simulation of international politics evolution in crisis was studied. The Model of International Politics Evolution (IPEM) in crisis based on Agent was built. The function and architecture of IPEM were introduced. Individual Agent , including Nation Agent, International Organization Agent and Environment Agent, was described in detail. A simulation experiment was executed to prove the effectiveness of the method proposed in the paper. © 2010 IEEE.

关键词： Adaptive systems

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Research on multi-agent based C4ISR effectiveness simulation and evaluation

Research on multi-agent based C4ISR effectiveness simulation...

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2010 International Conference on Computer Modeling and simulation, ICCMS 2010

作者： Zhang, Ying-Chao Feng, Ye Yu, Qin-Zhang Xin, Chen Beijing Institute of System Engineering National Key Laboratory of Science and Technology on Complex Systems Simulation Beijing China

ISBN: (纸本)9780769539416

The effectiveness evaluation of C4ISR is playing a more and more important role in its designing, developing and using. According to its characters, such as complexity and intelligence, the traditional evaluation methods and systems are not feasible and effective enough. In this paper, a multiagent based simulation and evaluation framework of C4ISR is advanced, which includes the architecture and the working procedure. The agent-based simulation model of C4ISR is put forward, according to which the C2 Agent, Armament Agent and the Evaluation Agent are founded. The interaction model between each agent is also designed. At final, based on the Swarm, a multi-agent based C4ISR effectiveness simulation and evaluation prototype is developed, through which NATO C2 effectiveness evaluation is thoroughly analyzed. © 2010 IEEE.

关键词： Multi agent systems

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Analysis of overload-based cascading failure in multilayer spatial networks

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Chinese Physics B 2020年第9期29卷 404-414页

作者： Min Zhang Xiao-Juan Wang Lei Ji Mei Song Zhong-Hua Liao School of Science Beijing University of Posts and TelecommunicationsBeijing 100876China School of Electronic Engineering Beijing University of Posts and TelecommunicationsBeijing 100876China Beijing Complex Product Advanced Manufacturing Engineering Research Center Beijing Simulation CenterBeijing 100854China State Key Laboratory of Intelligent Manufacturing System Technology Beijing Institute of Electronic System EngineeringBeijing 100854China

Many complex networks in real life are embedded in space and most infrastructure networks are interdependent,such as the power system and the transport *** this paper,we construct two cascading failure models on the multilayer spatial *** our research,the distance l between nodes within the layer obeys the exponential distribution P(l)~exp(-l/ζ),and the length r of dependency link between layers is defined according to node *** entropy approach is applied to analyze the spatial network structure and reflect the difference degree between *** metrics,namely dynamic network size and dynamic network entropy,are proposed to evaluate the spatial network robustness and *** the cascading failure process,the spatial network evolution is analyzed,and the numbers of failure nodes caused by different reasons are also counted,***,we discuss the factors affecting network *** demonstrate that the larger the values of average degree,the stronger the network *** the length r decreases,the network performs *** the probability p is small,asζdecreases,the network robustness becomes more *** p is large,the network robustness manifests better performance asζ*** results provide insight into enhancing the robustness,maintaining the stability,and adjusting the difference degree between nodes of the embedded spatiality systems.

关键词： cascading failure multilayer network load distribution spatial network entropy

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Research on Radar Active Deception Jamming Identification Method Based on RESNET and Bispectrum Features 2

Research on Radar Active Deception Jamming Identification Me...

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2nd International Conference on Computer Engineering and Application, ICCEA 2021

作者： Wang, Kunteng Dong, Zeyu Wan, Tao Jiang, Kaili Xiong, Wanan Fang, Xueli University of Electronic Science Technology of China School of Electronic Science and Engineering Chengdu China University of Electronic Science and Technology of China School of Information and Communication Engineering Chengdu China Key Laboratory of Complex Aviation Simulation System Beijing China

ISBN: (纸本)9781665426169

In the complex electromagnetic environment of modern electronic warfare, active deception jamming poses a serious threat to radar. This paper proposes the identification of active deception jamming based on residual neural network (RESNET), and studies the bispectral characteristics of the signal and the method of identifying the active deception jamming of RESNET. This algorithm firstly extracts the bispectral features of the jamming signal, and uses the bispectral diagonal slice as the input of RSNET to realize the recognition of active deception jamming. simulation results show that the algorithm has high recognition accuracy, not only has good anti-noise performance, but also has excellent robustness under low JSR. © 2021 IEEE.

关键词： Radar

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Operational Effectiveness Evaluation of Space-based Information system based on Improved AHP-BPNN Model 5

Operational Effectiveness Evaluation of Space-based Informat...

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5th IEEE Information technology, Networking, electronic and Automation Control Conference, ITNEC 2021

作者： Han, Chi Xiong, Wei Jian, Ping Aerospace Information Institute Aerospace Engineering University Beijing China Science and Technology on Complex Electronic System Simulation Laboratory Aerospace Engineering University Beijing China

ISBN: (纸本)9781665415989

In view of the characteristics of complex influencing factors and coupling interaction of various combat capabilities in the effectiveness evaluation of space- based information system (SIS), the effectiveness evaluation method of SIS based on improved AHP-BP neural network was proposed, which was mapped to multi-attribute decision making problem. The weight of experts was determined from the objective perspective to improve the traditional AHP and calculate the relevant influencing factors among experts. The comprehensive evaluation value is obtained according to the evaluation matrix, and the comprehensive weight of the index is obtained by the weighted average of the expert weight and the index weight. The evaluation data obtained from improved AHP and combat simulation data are used as prior samples to train BPNN to obtain the effectiveness evaluation model. Finally, sample data were obtained through MATLAB and STK co-simulation to evaluate the operational effectiveness of SIS and verify the effectiveness of the model. © 2021 IEEE.

关键词： MATLAB

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Effectiveness Evaluation of Space-based Information system based on Improved SVR 5

Effectiveness Evaluation of Space-based Information System b...

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5th IEEE Information technology, Networking, electronic and Automation Control Conference, ITNEC 2021

作者： Han, Chi Xiong, Wei Jian, Ping Aerospace Engineering University Aerospace Information Institute Beijing China Aerospace Engineering University Science and Technology on Complex Electronic System Simulation Laboratory Beijing China

ISBN: (纸本)9781665415989

The evaluation of effectiveness of space-based information system (SIS) is of great significance for modern warfare in integrated operations. In view of characteristics of complex impact factors, small number of samples and strong nonlinearity of effectiveness evaluation, support vector regression (SVR) is adopted to evaluate effectiveness. At the same time, cuckoo search optimizer (CSO) is introduced to optimize the three parameters of SVR. The simulation results indicate that improved SVR has higher accuracy than the traditional SVR and BP neural network, and can effectively evaluate the effectiveness of SIS. © 2021 IEEE.

关键词： Vector spaces

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Fusion of panchromatic and multispectral images via morphological operator and improved PCNN in mixed multiscale domain 10

Fusion of panchromatic and multispectral images via morpholo...

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10th IAPR Workshop on Pattern Recognition in Remote Sensing, PRRS 2018

作者： Jiao, Jiao Lingda, Wu Department of Graduate Management Space Engineering University Beijing China Simulation Laboratory Space Engineering University Science and Technology on Complex Electronic System Beijing China

ISBN: (纸本)9781538684795

In order to effectively combine the spectral information of the multispectral (MS) image with the spatial details of the panchromatic (PAN) image and improve the fusion quality, a fusion method based on morphological operator and improved pulse coupled neural network (PCNN) in mixed multi-scale (MM) domain is proposed. Firstly, the MS and PAN images are decomposed by nonsubsampled shearlet transform (NSST) to low- and high-frequency coefficients, respectively;secondly, morphological filter-based intensity modulation (MFIM) technology and stationary wavelet transform (SWT) are applied to the fusion of the low-frequency coefficients;an improved PCNN model is employed to the fusion of the high-frequency coefficients;thirdly, the final coefficients are reconstructed with inverse NSST. The experimental results on QuickBird satellite demonstrate that the proposed method is superior to five other kinds of traditional and popular methods: HIS, PCA, SWT, NSCT-PCNN and NSST-PCNN. The proposed method can improve the spatial resolution effectively while maintaining the spectral information well. The experimental results show that the proposed method outperforms the other methods in visual effect and objective evaluations. © 2018 IEEE.

关键词： Image fusion

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