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    A Survey of Edge Computing Resource Allocation and Task Scheduling Optimization
    Wang Ling, Wu Chuge, Fan Wenhui
    Journal of System Simulation    2021, 33 (3): 509-520.   DOI: 10.16182/j.issn1004731x.joss.20-0584
    Abstract4262)      PDF(pc) (3039KB)(3569)       Save
    With the rapid development of Internet of Things (IoT) and mobile terminals, the concept of edge computing arises. By moving the computation and storage capacity to the edge of network, edge computing is able to deal with a large amount of data produced by IoT devices and the responsive request from IoT application. To improve the utility of edge resource, the quality of service and quality of user experience, resource allocation and task scheduling optimization problems under edge computing attract wide attention. It becomes more difficult due to the geographic separated and heterogeneous features of edge computing resource as well as the requirements of performance, energy consumption, cost and stability and introduces the system models of edge computing, IoT and cloud computing, presents the optimization metrics, scheduling models and solution optimization, including exact algorithms, heuristic methods and intelligent optimization algorithms. In addition, typical application cases, and points out the further research contents and directions are provided to promote the development of edge computing.
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    Discussing Digital Twin from of Modeling and Simulation
    Zhang Lin, Lu Han
    Journal of System Simulation    2021, 33 (5): 995-1007.   DOI: 10.16182/j.issn1004731x.joss.21-0262
    Abstract3519)      PDF(pc) (1857KB)(2469)       Save
    The development and evolution of modeling and simulation technology, and its importance in scientific and technological progress are briefly reviewed. The intrinsic relation between digital twin and modeling and simulation is revealed by analyzing the background and concept of digital twin. The way to build and evaluate a digital twin based on modeling and simulation theoretical methods is discussed. to ensure the credibility.
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    Intelligent Wargaming System: Change Needed by Next Generation Need to be Changed
    Hu Xiaofeng, Qi Dawei
    Journal of System Simulation    2021, 33 (9): 1997-2009.   DOI: 10.16182/j.issn1004731x.joss.21-0728
    Abstract3935)      PDF(pc) (1665KB)(4320)       Save
    The future direction of wargaming system is intelligent, and the most significant feature of intelligence is the modeling of cognition. The main problems of wargaming system are summarized, the main difficulties of modeling brought by cognition and the overall framework of intelligent wargaming system design are discussed, the technical ways of transformation and upgrading based on the existing wargaming system are given from four aspects of model construction, system design, wargaming ecology and test inspection. It provides direction and reference to the development and construction of the next generation intelligent wargaming system.
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    Challenges and Reflection on Next-generation Large-scale Computer Wargame System
    Si Guangya, Wang Yanzheng
    Journal of System Simulation    2021, 33 (9): 2010-2016.   DOI: 10.16182/j.issn1004731x.joss.21-0729
    Abstract2445)      PDF(pc) (843KB)(1656)       Save
    In view of the systematic, networked and intelligent characteristics of the future war, the major challenges of the new generation of large computer warfare system are proposed, and the next-generation large-scale computer wargame system is constructed. The key technologies of building a new generation of large computer warfare systems, such as intelligent war modeling, architecture integration, resource service management and human-computer interaction are researched.
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    Study on Next-generation Strategic Wargame System
    Wu Xi, Meng Xianglin, Yang Jingyu
    Journal of System Simulation    2021, 33 (9): 2017-2024.   DOI: 10.16182/j.issn1004731x.joss.21-0731
    Abstract3364)      PDF(pc) (593KB)(1886)       Save
    Strategic wargame is an important support to the strategic decision. The research status and challenges of the strategic wargame are analyzed, and the influence of big data and artificial intelligence technology on the strategic wargame system is studied. The prospects and key technologies of the next-generation strategic wargame system are studied, including the construction of event association graph for strategic topics, generation of strategic decision sparse samples based on generative adversarial nets, gaming strategy learning of human-in-loop hybrid enhancement, and public opinion dissemination modeling technology based on social network. The development trend of the strategic wargame is proposed.
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    Research on the Issues of Next Generation Wargame System Model Engine
    Tang Yubo, Shen Bilong, Shi Lei, Yi Xing
    Journal of System Simulation    2021, 33 (9): 2025-2036.   DOI: 10.16182/j.issn1004731x.joss.21-0735
    Abstract2603)      PDF(pc) (1724KB)(1849)       Save
    Aiming at the more and more complex war systems, widely used artificial intelligence technology is needed to make up the human deficiencies in future wargame deduction, which is necessary for the next generation wargame system model engine. To address these challenges, a framework prototype of the next generation wargame model engine based on the experience of the long-term development and application is proposed. The decoupling method for the complexity of structure and computation is researched. The human-computer integration architecture on digital twinning technology is studied. Some new modeling techniques which the threshold of model development is reduced and the efficiency is improved are explored. The engine mechanism is provided to support the machine learning, and to achieve the integrated design for distributed hardware environment.
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    Modeling Research of Cognition Behavior for Intelligent Wargaming
    He Xiaoyuan, Guo Shengming, Wu Lin, Li Dong, Xu Xiao, Li Li
    Journal of System Simulation    2021, 33 (9): 2037-2047.   DOI: 10.16182/j.issn1004731x.joss.21-0727
    Abstract2598)      PDF(pc) (4559KB)(1786)       Save
    Aiming at the problem of cognitive behavior modeling in the construction and application of intelligent wargaming system, one modeling framework based on Actor-Operations-Scene (AOS) was proposed for C2 agent in wargaming. Then the realization of cognitive behavior modeling method for C2 agent was explored, including the modeling for the scenario oriented knowledge graph, intelligent situation awareness, operational planning, integrated operational control. It provides a feasible scheme for the construction and application of intelligent wargaming system.
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    Wargaming Eco-system for Intelligence Growing
    Wu Lin, Hu Xiaofeng, Tao Jiuyang, He Xiaoyuan
    Journal of System Simulation    2021, 33 (9): 2048-2058.   DOI: 10.16182/j.issn1004731x.joss.21-0730
    Abstract2431)      PDF(pc) (5187KB)(2334)       Save
    The construction of the next generation intelligent wargaming system can not be accomplished at one move, but through building an ecosystem to gradually grow intelligence. The basic concepts of the intelligent wargame ecosystem, and are defined the idea of dynamic openness, diversified levels and co-evolution are proposed. Drawing lessons from the human intelligence growing process and learning-evolution mechanism, the double helix model of the next generation of wargame cognitive intelligent evolution and growth is constructed. On the basis of the OLTA cycle, the wargame deduction ecosystem system framework is given. The application of the technologies, such as digital twins, human-machine integration and symbiosis, sample generation, intelligence testing and evaluation, cloud native and so on, in the construction of an ecological environment for wargaming games are analyzed.
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    Abroad Wargaming Deduction and System Research
    Cao Zhanguang, Tao Shuai, Hu Xiaofeng, He Lülong
    Journal of System Simulation    2021, 33 (9): 2059-2065.   DOI: 10.16182/j.issn1004731x.joss.20-0726
    Abstract3523)      PDF(pc) (191KB)(2638)       Save
    Wargaming is an important auxiliary means of war deduction, scheme evaluation and operational analysis. Wargaming deduction system can support the research of operational problems, innovation of tactics and development of operational concepts. The development status of foreign computer wargaming system from the deduction method and system research is reviewed, and the online deduction the multi-level joint deduction, as well as the research status of multi-level wargaming fusion design, the multi system combination and auxiliary tool development are mainly introduced, which can providereference to the development and application of computer wargame system.
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    Survey on Parallel Collision Detection Algorithms
    Liu Fuchang, Wang Shuangjian, Pan Zhigeng, Wang Jinrong
    Journal of System Simulation    2017, 29 (11): 2601-2608.   DOI: 10.16182/j.issn1004731x.joss.201711001
    Abstract2102)      PDF(pc) (226KB)(711)       Save
    The demand for real-time collision detection is increasing in different applications. Exploiting the parallel computing capability of multi-core CPUs and GPUs to accelerate the speed of collision detection algorithms has attracted abroad attention. This paper reviews the development history of collision detection algorithms and classified the existing algorithms from multiple perspectives. Moreover, we analyze the strengths and weaknesses of more than ten representative parallel collision detection algorithms based on multi-core CPUs and GPUs from the aspects of the scalability, memory consumption and workload balancing. Finally, the problem of present parallel collision detection research and potential direction of following research and some representative benchmark data sets are presented.
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    Survey on Pedestrian Detection Based on Statistical Classification
    Li Wei, Wang Pengjie, Song Haiyu
    Journal of System Simulation    2016, 28 (9): 2186-2194.  
    Abstract1346)      PDF(pc) (1349KB)(534)       Save
    As one of the most important areas of research in the domain of computer vision and intelligent tranffic, pedestrian detection has attacted extensive interest from the research community in recent years. Because the detection based on statistical classification method is efficient, it has been widely applied. Pedestrian detection method was focused based on statistical classification. Standard dataset for evaluation of human detection was reviewed, studying the statistics about these dataset. Extracted features and the improvement on them were summarized. The main classifier for pedestrian detection was summarized. The present problems and future research trends in pedestrian detection were proposed.
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    Review on Modeling and Simulation of Critical Infrastructures
    Xiao Baoliang, Zhang Mingzhi, He Xiaoyuan
    Journal of System Simulation    2015, 27 (7): 1401-1409.  
    Abstract1336)      PDF(pc) (1609KB)(606)       Save
    Economic prosperity, national security and society well-being have long depended on the important services that some critical infrastructures are provided. The safety of the critical infrastructures is vital for the normal operation of the country. On the basis of research on the connotation of critical infrastructure to different nation in different historical period, the definition, classification and model of interdependencies among critical infrastructures were analyzed. The principal modeling and simulation techniques of critical infrastructure and their merits and drawbacks were summarized. The significant protection projection s and tools were analyzed and researched. Depending on all above studies, knowing and understanding of the complexity and interdependency of the critical infrastructures can be enhanced. The research can also direct the development of effective modeling and simulation tools, implement impactful protection plan, and deal with increasing external threat more profitably.
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    Study in Plant Modeling and Animation
    Jiang Yanna, Xiao Boxiang, Guo Xinyu, Yang Baozhu
    Journal of System Simulation    2015, 27 (4): 881-892.  
    Abstract1295)      PDF(pc) (517KB)(678)       Save
    Plant modeling and animation synthesis was widely used in many fields, such as virtual plant, 3D animation, games and so on. The techniques of plant modeling and animation synthesis were reviewed. Plant modeling techniques were discussed in three aspects: fractal and L system approach, imaged-based methods, methods based on three-dimensional measurement data. Plant animation synthesis techniques were analyzed in four aspects: physically-based animation, procedural animation, video-based animation and data-driven animation. Furthermore, some issues in future research were addressed, and further trends and research directions were discussed.
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