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Overview of Digital Twins Application and safe Development Li Xin, Liu Xiu, Wan Xinxin Journal of System Simulation    2019, 31 (3): 385-392.   DOI: 10.16182/j.issn1004731x.joss.19-0025 Abstract （2007）      PDF（pc） （1144KB）（8410）       Knowledge map    Save The Digital Twins simulate the whole process of the manufacture, and promote the development of smart manufacturing and other fields. In view of the rapid development and application of Digital Twins, the concept and history of Digital Twins are outlined, and its related technology system is given. The main application and development trend of Digital Twins in intelligent manufacturing as while as the main characters of Digital Twins in smart cities are combed. The cyber security problem of Digital Twins is discussed for intelligent manufacturing and smart cities. The scheme and suggestion are given for ensuring the cyber security of Digital Twins. Reference | Related Articles | Metrics

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Visual Simulation of Aircraft Approach and Landing System Based on Beidou Liu Ruihua, Cao Hui Journal of System Simulation    2018, 30 (10): 3753-3760.   DOI: 10.16182/j.issn1004731x.joss.201810020 Abstract （325）      PDF（pc） （3872KB）（1939）       Knowledge map    Save In order to analyze the navigation performance of Ground-Based Augmentation System (GBAS) based on Beidou satellite navigation system (BDS) in approach and landing phase, segments of ground, airborne and space were simulated as GBAS. The broadcast ephemeris data was processed by MATLAB to simulate the BDS constellation and the orbit operation. Based on the minimum operational standards for GBAS released by RTCA, the data model of ground segment and airborne segment were established, and the enhancement algorithm was simulated to analyze the positioning error and navigation performance of BDS. Simulink kinematic and control models were developed to simulate the attitude of aircraft. FlightGear I/O interface was studied to realize the joint simulation with MATLAB, and visual simulation platform of aircraft approach and landing system for BDS was built by the joint simulation. Reference | Related Articles | Metrics

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Brief Review on Applying Reinforcement Learning to Job Shop Scheduling Problems Wang Xiaohan, Zhang Lin, Ren Lei, Xie Kunyu, Wang Kunyu, Ye Fei, Chen Zhen Journal of System Simulation    2021, 33 (12): 2782-2791.   DOI: 10.16182/j.issn1004731x.joss.21-FZ0774 Abstract （4338）      PDF（pc） （478KB）（4840）       Knowledge map    Save Reinforcement Learning (RL) achieves lower time response and better model generalization in Job Shop Scheduling Problem (JSSP). To explain the current overall research status of JSSP based on RL, summarize the current scheduling framework based on RL, and lay the foundation for follow-up research, the backgrounds of JSSP and RL are introduced. Two simulation techniques commonly used in JSSP are analyzed and two commonly used frameworks for RL to solve JSSP are given. In addition, some existing challenges are pointed out, and related research progress is introduced from three aspects: direct scheduling, feature representation-based scheduling, and parameter search-based scheduling. Reference | Related Articles | Metrics

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Summary of Simulation Technology and Its Application in Training Field Zhiming Qiu, Heng Li, Yufang Zhou, Duzheng Qing Journal of System Simulation    2023, 35 (6): 1131-1143.   DOI: 10.16182/j.issn1004731x.joss.23-0351 Abstract （1569）   HTML （645）    PDF（pc） （3245KB）（1407）       Knowledge map    Save High-tech weapons, operations and battlefield environment become more and more increasingly sophisticated. It is an effective way to resolve the conflicts between huge equipment training cost and limited resources and improve training quality by building networked, systematic and intelligent simulation training equipment and system, and conducting systematic countermeasure simulation training based on present simulation technologies and training resources. The current situation and trend of the development of system architecture of simulation, simulation modeling, enemy simulation, information system simulation, etc are evaluated and summarized. It initially analyses the application and efficacy on the US Navy's normalized training environment, typical systems such as 'Alpha' intelligence air war simulation training system and the American 2021 large-scale military exercises are analyzed. Aiming at the real combat simulation training capacity under the combat condition, five research directions are proposed, which could be the references for engineering and technical personnel in this field. Table and Figures | Reference | Related Articles | Metrics

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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 Abstract （3882）      PDF（pc） （1665KB）（4011）       Knowledge map    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. Reference | Related Articles | Metrics

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Preliminary Study of Modeling and Simulation Technology Oriented to Neo-type Artificial Intelligent Systems LiBo Hu, ChaiXudong, ZhangLin, LiTan, QingDuzheng, LinTingyu, LiuYang Journal of System Simulation    2018, 30 (2): 349-362.   DOI: 10.16182/j.issn1004731x.joss.201802001 Abstract （2681）      PDF（pc） （2942KB）（4843）       Knowledge map    Save A brief interpretation of the rapidly developing “New Internet+ Big Data+ Artificial Intelligence+” era is given in the paperand the essence and the architectureof neo-type artificial intelligence systems are explained. The meaning of neo-type artificial intelligence system oriented modelling and simulation technology is proposed and the new challenges they are facing are discussed. The research contents and preliminaryresults on neo-type artificial intelligence system oriented modelling and simulation technology are given, which includeneo-type artificial intelligence system oriented modelling/secondary modelling, intelligent simulation computer, smart cloud simulation and intelligent simulation hardware/software supporting system technology, and intelligent simulation system application engineering technology. Several artificial intelligence application examples, such as intelligent manufacturing, intelligent medical treatment, smart city and intelligent agriculture etc., are introduced. Suggestions on the development of neo-type artificial intelligence system oriented modelling and simulation technology are proposed. Reference | Related Articles | Metrics

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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 Abstract （4156）      PDF（pc） （3039KB）（3398）       Knowledge map    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. Reference | Related Articles | Metrics

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Development of Several Typical Virtual Reality Fusion Technologies Feng Qiqi, Dong Zhiming, Peng Wencheng, Dai Yi, Si Bingshan Journal of System Simulation    2023, 35 (12): 2497-2511.   DOI: 10.16182/j.issn1004731x.joss.22-0793 Abstract （803）   HTML （614）    PDF（pc） （4184KB）（1150）       Knowledge map    Save Virtual reality fusion can realize the two-way interaction, mapping and linkage between virtual world and physical world, which attracts the attention of countries in the world. In order to sort out and make statistics on concept connotation, academic status and application of the related new technologies, digital twin, cyber-physical systems, metaverse and live-virtual-constructive simulation are taken as representatives.The comparison on the development process, functional characteristics, target trends, etc. is carried out. Table and Figures | Reference | Related Articles | Metrics

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Review on the Construction and Application of Digital Twins in Transportation Scenes Wu Zhaohui, Liu Zhenzheng, Shi Ke, Wang Liang, Liang Xiaojie Journal of System Simulation    2021, 33 (2): 295-305.   DOI: 10.16182/j.issn1004731x.joss.20-0754 Abstract （2214）      PDF（pc） （4779KB）（3069）       Knowledge map    Save Digital twins connect the physical world and the information world, and provide new ideas for the analysis and solution of complex traffic problems. The research and application status of digital twins in transportation scenes are reviewed on the basis of sorting out the basic concepts, development history and key technologies of digital twins. The key technologies for the construction of digital twins in transportation scenes that need to be breakthrough are analyzed from the four aspects of "people-vehicle-road-environment" combined with the characteristics of the elements of traffic operation. The prospect of digital twin transportation applications in the development of vehicles, intelligent operation and maintenance of important infrastructure, unmanned virtual testing, analysis and experiments of traffic problems are expected. Reference | Related Articles | Metrics

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Metaverse Concept and Its Military Application Tan Zhao, Lin Wu, JiuYang Tao, Shuai Li Journal of System Simulation    2023, 35 (7): 1405-1420.   DOI: 10.16182/j.issn1004731x.joss.23-0722 Abstract （1349）   HTML （576）    PDF（pc） （2491KB）（1080）       Knowledge map    Save Metaverse is a concept describing the fusion and interaction between virtual and real, which has become popular in business and academia since 2021. The aim is to study possible applications of metaverse in military. We sort out the definition, characteristics and development of this concept. Then we analyze the necessity of using the concept of military metaverse from the expansion of modeling and simulation(M&S) and live-virtual-constructive(LVC) simulation. And then we study the possible improvements of the military metaverse from the actual needs of military training, operation and information resource management. We sort out the prototype products of the military metaverse under development and analyze their typical development methods. Table and Figures | Reference | Related Articles | Metrics

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Modeling Analysis and Prediction on NCP Epidemic Transmission Sheng Huaxiong, Wu Lin, Xiao Changliang Journal of System Simulation    2020, 32 (5): 759-766.   DOI: 10.16182/j.issn1004731x.joss.20-0156 Abstract （2826）      PDF（pc） （1792KB）（6813）       Knowledge map    Save The modeling analysis on the NCP (Novel Coronavirus Pneumonia) epidemic transmission before and after the closure of Wuhan is presented. On the basis of preprocessing the epidemic data, the classical SIR model and differential recurrence method are used to analyze and forecast the epidemic situation in the stage of control. The theoretical value and measured value fits well. In the stage of free transmission, the logistic model is used to compare and analyze the epidemic data five days in advance or later with the actual data to show the importance of taking the epidemic prevention measures in time. The model is universally applicable to the analysis of the disease transmission in other related areas. Reference | Related Articles | Metrics

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Modeling and Quaternion Control of X-Type Quadrotor Ding Shaobin, Xiao Changshi, Liu Jingen, Wen Yuanqiao Journal of System Simulation    2015, 27 (12): 3057-3062.   Abstract （798）      PDF（pc） （625KB）（2565）       Knowledge map    Save A comprehensive dynamic model of X-type quadrotor was established and simulated. Different from other widely used models that usually treated quadrotor as a single-rigid-body system, the rotors, propellers and the aircraft body were treated as a multi-rigid-body system in the proposed model. The 3D model wireframe was constructed using Solidworks and the important inertial parameters were extracted from the design data. Two types of multi-channel-double-loop vector PD flight controller were designed and fine tuned, one was based on quaternion feedback and the other was based on Euler angle feedback. The close-loop systems were simulated on Matlab/Simulink. The simulation results show that both systems achieve stable control of aircraft position and pose, however, quaternion feedback based controller shows shorter transition time, less computation and no singularity point compared to Euler angle feedback based controller. Reference | Related Articles | Metrics Cited: Baidu(5)

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Cloud-Edge Collaborative Service Architecture for LVC Training System Peng Yong, Zhang Miao, Hu Yue Journal of System Simulation    2023, 35 (9): 1825-1836.   DOI: 10.16182/j.issn1004731x.joss.23-0681 Abstract （1552）   HTML （769）    PDF（pc） （1466KB）（1006）       Knowledge map    Save LVC training, an important means of military training, has received great attention from military and M&S experts. As the virtual and physical elements become more abundant and deeply integrated, LVC training systems become increasingly complex. Aiming at physical-virtual connection, information interaction, simulation computation, run-time control, etc., this paper designs a cloud-edge collaborative service architecture for LVC training systems (CESA-LVC) by reference to cyber-physical systems and cloud-edge computing architectures. CESA-LVC standardizes the structures of LVC training systems from several aspects of intelligent real-time interconnection, joint simulation computation, training auxiliary service, training cognitive decision, and dynamic configuration optimization. It provides a reference model for the design and development of a service-oriented, flexible deployment, and efficient LVC training system. The paper discusses the key technical problems of joint simulation computation, complex network communication, and complex system control. The prototype system for LVC training spanning three provincial-level regions is realized, and the main indicators of each level of CESA-LVC architecture are verified, which proves the rationality of the architecture design. Table and Figures | Reference | Related Articles | Metrics

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An Evolutionary Multi-Objective Simulation Optimization Algorithm for Supply Chain with Uncertain Demands Wang Hongfeng, Zhang Yitian, Chen Jingze Journal of System Simulation    2021, 33 (12): 2761-2770.   DOI: 10.16182/j.issn1004731x.joss.21-0837 Abstract （4551）      PDF（pc） （637KB）（4298）       Knowledge map    Save During the COVID-19 pandemic, supply chain of manufacturing companies is facing more severe product demand uncertainty, which is manifested in the sharp increase in demand for certain types of products and the increased fluctuations in supply for raw materials. For this supply chain optimization problem with demand uncertainty, a multi-objective stochastic programming model is developed in order to maximize the total profit and product order fulfillment rate simultaneously in this paper. For solving the investigated problem, a new evolutionary multi-objective simulation optimization algorithm is proposed by combining the mechanism of NSGA-II and simulation computing budget allocation adaptively. Experimental results show the validity of the presented model and algorithm. Reference | Related Articles | Metrics

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Vehicle Routing Optimization Model of Cold Chain Logistics Based on Stochastic Demand Ma Xiangguo, Liu Tongjuan, Yang Pingzhe, Jiang Rongfen Journal of System Simulation    2016, 28 (8): 1824-1833.   Abstract （650）      PDF（pc） （358KB）（2268）       Knowledge map    Save The costs of vehicle distribution in the process of cold chain logistics is analyzed and amended; A mathematical model with mixing time window is built to balance the customers' service request with importance level; To minimize the total cost, a mathematical model which uses a factor to make balance between the stability of customer demand fluctuation and the cost increase in the assignment phase is established. Based on MATLAB software, the optical solution is found with adaptive genetic algorithm by taking the background of a distribution center to simulate and analyze. Reference | Related Articles | Metrics

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Research on Simulation and Optimization of Maintenance Support Mode and Human Resources Auocation for Complex Equipment Cao Junhai, Guo Yiming, Zhang Chuang, Guo Qingyi Journal of System Simulation    2021, 33 (10): 2307-2314.   DOI: 10.16182/j.issn1004731x.joss.21-0807 Abstract （3678）      PDF（pc） （1515KB）（3098）       Knowledge map    Save Aiming at the single maintenance support mode of the army’s complex equipment and the strong randomness of human resource allocation, the military-level equipment maintenance process is taken as the research object, the complex equipment maintenance plan, maintenance support mode, human resource configuration, and maintenance process flow are analyzed. The simulation model of a complex equipment maintenance workshop is constructed, the influence of maintenance plans, maintenance support modes, and human resource allocation on indicators of “maintenance support time” and “human resource satisfaction rate” is explored, the internal laws is analyzed and the manpower optimal allocation for the maintenance of military equipment is suggested. The new thinking about the selection of military equipment maintenance support mode and the allocation of maintenance human resources is provided. Reference | Related Articles | Metrics

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Survey on Intelligent Wargaming: Tactical & Campaign Wargame and Strategic Game from Game-Theoretic Perspective Luo Junren, Zhang Wanpeng, Xiang Fengtao, Jiang Chaoyuan, Chen Jing Journal of System Simulation    2023, 35 (9): 1871-1894.   DOI: 10.16182/j.issn1004731x.joss.23-0300 Abstract （1132）   HTML （74）    PDF（pc） （4154KB）（918）       Knowledge map    Save Wargaming is a pre-practice activity to study national security and competition, military conflict and war, crisis management, and other major strategic issues. An intelligent wargaming system needs the ability of artificial intelligence technology. This paper briefly summarizes the research progress of intelligent game, the evolution of wargaming, intelligent wargaming, and strategic gaming methods. From the perspective of game theory, it analyzes the game problem model for intelligent wargaming and sorts out the application mode of intelligent wargaming and the organization mode of a strategic game. An intelligent wargaming service-oriented architecture based on cloud native is proposed. Pre-training method for future decision-making cloud is explored for distributed confrontation at cloud edge, and a meta-game analysis framework for strategic wargaming is constructed for cognition of crisis events. It is expected to provide a scientific and effective reference for the research on the theory and tools of intelligent wargaming and offer theoretical and technical support for the new generation of intelligent cloud-edge cooperative command and control. Table and Figures | Reference | Related Articles | Metrics

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Kernel Block Diagonal Representation Subspace Clustering and Its Convergence Analysis Liu Maoshan, Ji Zhicheng, Wang Yan, Wang Jianfeng Journal of System Simulation    2021, 33 (11): 2533-2544.   DOI: 10.16182/j.issn1004731x.joss.21-0950 Abstract （4051）      PDF（pc） （686KB）（4571）       Knowledge map    Save Focus on the problems that the linear block diagonal representation subspace clustering cannot effectively handle non-linear visual data, and the regular regularizers cannot directly pursue the k-block diagonal matrix, a kernel block diagonal representation subspace clustering is proposed. In the proposed algorithm, the original input space is mapped into the kernel Hilbert space which is linearly separable, and the spectral clustering is performed in the feature space. The convergence analysis is given, and the strong convex of variables and the boundedness of function is utilized to verify the monotonically decreasing of objective function and the boundedness and convergence of the affinity matrix, which breaks through the difficulty of convergence proof. Compared with other algorithms such as the kernel sparse subspace clustering and the block diagonal representation algorithm tested, the algorithm has achieved the lower clustering error and higher normalized mutual information on Extended Yale B, ORL and MVtec ITODD. Reference | Related Articles | Metrics

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High Performance Simulation Method and Test Platform for Full Envelop of Flight Vehicle Wang Jianlin, Chen Sufang, Tie Ming, Liu Jing, Zhang Jun Journal of System Simulation    2021, 33 (10): 2298-2306.   DOI: 10.16182/j.issn1004731x.joss.21-0625 Abstract （3663）      PDF（pc） （1102KB）（3859）       Knowledge map    Save In order to meet the needs of the overall performance simulation and verification of the vehicle with large subsamples and massive states, a high-performance simulation method is proposed, in which a parallel simulation architecture based on high-performance computers is established, the technologies and software such as decoupling of simulation tasks, real-time monitoring of simulation, concurrent conflict control and automatic aggregation of large-scale test results are realized, and a test platform for the large-scale parallel verification of flight performance is developed. Simulation results show that the method has high acceleration ratio and scalability, and can complete the verification efficiently, which not only improves the overall verification and evaluation capability of the vehicle, but also promotes the improvement of the vehicle design. Reference | Related Articles | Metrics

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Research on Supply Chain Recovery Strategy under Disruption Risks Yang Yi, Peng Chen, Yang Yujiu, Wang Yulong Journal of System Simulation    2021, 33 (12): 2771-2781.   DOI: 10.16182/j.issn1004731x.joss.21-0825 Abstract （3905）      PDF（pc） （1266KB）（3717）       Knowledge map    Save Aiming at supply chain disruptions, two effective supply chain recovery strategies are proposed, namely, a supplier’s preset emergency inventory strategy and a manufacturer’s product change strategy, meanwhile, emergency inventory storage cost and products return rate after change are also taken into consideration. In order to maximize the manufacturer’s profit and customer satisfaction, a single-objective model and a bi-objective model are established, respectively. The optimization problems in the two models are transformed into mixed integer programming problems, moreover, corresponding solution algorithms are presented based on ILOG CPLEX. The simulation results show that the disruption recovery strategies proposed can not only help suppliers to reduce losses effectively, but also meet the market demands well. Reference | Related Articles | Metrics

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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 Abstract （2400）      PDF（pc） （5187KB）（2215）       Knowledge map    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. Reference | Related Articles | Metrics

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From Situation Cognition Stepped into Situation Intelligent Cognition Zhu Feng, Hu Xiaofeng, Wu Lin, He Xiaoyuan, Lü Xuezhi, Liao Ying Journal of System Simulation    2018, 30 (3): 761-771.   DOI: 10.16182/j.issn1004731x.joss.201803001 Abstract （1178）      PDF（pc） （1191KB）（2277）       Knowledge map    Save Aimed at operational situation cognition and some relevant problems under the background of the Joint-Tactical, some deep researches are carried out in this paper. The concept models of combat situation cognition and situation intelligent cognition are proposed respectively, and some related concepts are clarified. The situation intelligent cognition technology framework is proposed, and five key problems which should be solved are analyzed, and the possible technical routes are given. These research contents and achievements build a foundation for stepping into the situation intelligent cognition from combat situation cognition. Reference | Related Articles | Metrics

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Mathematical Model of Maneuvering Motion and Virtual Simulation for Ultra Large Twin-propeller Twin-rudder Ship Guo Chen, Yan Lifei, Shen Haiqing Journal of System Simulation    2015, 27 (9): 1976-1982.   Abstract （637）      PDF（pc） （1031KB）（2186）       Knowledge map    Save A three-degree freedom mathematical model of maneuvering motion for an ultra-large type container ship with twin-propeller twin-rudder is established, with turning circle test and zig-zig test simulation results to verify it. By abstracting the ship maneuvering process, the three-dimensional model of ship, helm, propeller and rudder are modeled according to virtual reality technology, and then the ship posture and the dynamic process of ship maneuvering are displayed by the virtual scene and the responsive three-dimensional model. A virtual simulation system for the maneuvering of ultra large twin-propeller twin-rudder ship is established by the MFC framework and the Vega API. The functions including scenes switching, environment switching, maneuvering switching and viewpoint switching are completed in the virtual simulation system. The system also could be used as a platform for simulation verification of ship maneuvering control strategy and optimization of control algorithm. Reference | Related Articles | Metrics Cited: Baidu(1)

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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 Abstract （3417）      PDF（pc） （191KB）（2340）       Knowledge map    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. Reference | Related Articles | Metrics

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Military Metaverse: Key Technologies, Potential Applications and Future Directions Zhao Zhang, Yujie Guo, Xiaoning Zhao, Baoliang Sun, Shuanghou Deng, Guoxu Feng Journal of System Simulation    2023, 35 (7): 1421-1437.   DOI: 10.16182/j.issn1004731x.joss.23-0104 Abstract （1210）   HTML （97）    PDF（pc） （3118KB）（817）       Knowledge map    Save Since its emergence, the concept of metaverse has been applied to many fields. At present, the transformation of military intelligence, digitalization and information technology is advancing in an all-round way. The military enabled by metaverse technology will accelerate the process of military reform in the new era. To explore the potential application of metaverse in the military field, this paper first introduces several key technologies of metaverse and their functions in the military field, and then discusses some potential directions for the application of metaverse in weapon development and support, training and teaching of officers and soldiers, tactical command and situational awareness, systematic cooperative operations. The challenges in the current and future development of the military metaverse are considered, and its future development and application are discussed. Table and Figures | Reference | Related Articles | Metrics

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Research Progress of Opponent Modeling Based on Deep Reinforcement Learning Haotian Xu, Long Qin, Junjie Zeng, Yue Hu, Qi Zhang Journal of System Simulation    2023, 35 (4): 671-694.   DOI: 10.16182/j.issn1004731x.joss.22-0555 Abstract （947）   HTML （522）    PDF（pc） （856KB）（1356）       Knowledge map    Save Deep reinforcement learning is an agent modeling method with both deep learning feature extraction ability and reinforcement learning sequence decision-making ability, which can make up for the depleted non-stationary adaptation, complex feature selection and insufficient state-space representation ability of traditional opponent modeling. The deep reinforcement learning-based opponent modeling methods are divided into two categories, explicit modeling and implicit modeling, and the corresponding theories, models, algorithms and applicable scenarios are sorted out according to the categories. The applications of deep reinforcement learning-based opponent modeling techniques on different fields are introduced. The key problems and future development are summarized to provide a comprehensive research review for the deep reinforcement learning-based opponent modeling methods. Table and Figures | Reference | Related Articles | Metrics

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Traffic Flow Prediction Based on Deep Learning Liu Mingyu, Wu Jianping, Wang Yubo, He Lei Journal of System Simulation    2018, 30 (11): 4100-4106.   DOI: 10.16182/j.issn1004731x.joss.201811007 Abstract （884）      PDF（pc） （448KB）（1410）       Knowledge map    Save Traffic flow prediction is an important component of urban intelligent transportation system. With the development of machine learning and artificial intelligence, deep learning has been applied in traffic engineering area. Gated recurrent unit (GRU) neural network is selected to predict urban traffic flow. Cross-validation method is used to explore the optimal number of gated recurrent units. The GRU model is compared with other three predictors such as support vector regression and evaluated in different performance measurements. The results show that GRU model has better performance in traffic flow prediction than the other three models. Reference | Related Articles | Metrics

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Modeling and Simulation of Crowd Multi-perception Behavior Model in Closed Public Places Ma Jun, Hu Jun Journal of System Simulation    2021, 33 (10): 2289-2297.   DOI: 10.16182/j.issn1004731x.joss.21-0757 Abstract （4519）      PDF（pc） （2830KB）（4457）       Knowledge map    Save The social forces-based multi-agent modeling method is used to build the crowd simulation models in most of the existing crowd behavior simulation software systems. From the perspective of cognitive psychology, combined with the spatial logic model of the generalized influence of the crowd obtained by the author’s previous research, and based on the sigmoid function, the mathematical model of the individual visual and auditory perception of the crowd is constructed. Taking the typical subway transfer hall as an example, the objective function of large passenger volume evacuation optimization is established to construct the crowd evacuation simulation model. The simulation results based on the defined scenarios show that the proposed multi-perception behavior model is effective. Reference | Related Articles | Metrics

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A Survey on Visual SLAM based on Deep Learning Liu Ruijun, Wang Xiangshang, Zhang Chen, Zhang Bohua Journal of System Simulation    2020, 32 (7): 1244-1256.   DOI: 10.16182/j.issn1004731x.joss.19-VR0466 Abstract （1193）      PDF（pc） （3177KB）（2039）       Knowledge map    Save Following the development of computer vision and robotics, visual Simultaneous Localization and Mapping becomes a research focus in the field of unmanned systems. The powerful advantages of deep learning in the image processing offer a huge opportunity to the wide combination of the two fields. The outstanding research achievements of deep learning combined with visual odometry, loop closure detection and semantic Simultaneous Localization and Mapping are summarized. A comparison between the traditional algorithm and method based on deep learning is carried out. The development direction of visual Simultaneous Localization and Mapping based on deep learning is forecasted. Reference | Related Articles | Metrics

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Fault Spatial-temporal Detecting and Diagnosis for Power Grid Based on Wavelet Analysis Li Gang, Xu Pengcheng, Han Longmei Journal of System Simulation    2015, 27 (12): 3018-3024.   Abstract （596）      PDF（pc） （441KB）（2066）       Knowledge map    Save The monitoring data of modern power system have strong intrinsic relationship and its abnormal and fault signal is often hidden in big data sets, so the traditional Fourier transform analysis methods don't have the ability of time domain localization analysis. A new method based on time-frequency characteristics of wavelet analysis was proposed for singularity detection of transient signals in power system, which through decomposing the multi-scale one-dimensional transient signal wavelet, extracted high frequency and low frequency coefficient, and got fault time information while the signal de-noising; then based on the singularity detection of modulus maxima, the fault location information was obtained, so as to realize the temporal-spatial detection and diagnosis of abnormal signal of power system. By means of the simulation analysis in IEEE 39 bus system, the results show that the proposed method realizes the singular signal time-frequency characteristics of sorting, and initially satisfies the requirement of fault spatial-temporal positioning. Reference | Related Articles | Metrics

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Three-dimensional Virtual Reassembling for Broken Artifact Fragments Based on Leap Motion Lu Haoran, Zhang Yu, Niu Miaomiao, Shui Wuyang, Zhou Mingquan Journal of System Simulation    2015, 27 (12): 3006-3011.   Abstract （540）      PDF（pc） （1329KB）（2049）       Knowledge map    Save 3D laser scanning technique has been widely used to acquire geometry information of artifacts. The broken relics can be virtually restored with the help of computer technologies. Aiming at solving the problems of the automatic virtual restoration for broken artifact fragments, a new method of semi-automatic reassembly was proposed. The motions of the user’s hands were simulated by using the data captured by Leap Motion. The movement of each fragment model was controlled interactively so that two fragments could be roughly matched. The matching results were fed back to the user in real-time, and the user could optimize the matching by controlling the positions of the fragments. The iterative closest point algorithm was adopted to realize the fine matching for rough matching result. The fine matching results were considered as a new piece, and the above steps were iteratively performed multiple fragments matching and reassembly. The experiments illustrate that the method can overcome the problem of the high dependency for automatic matching and neighbor fragments can be matched using the approach. Reference | Related Articles | Metrics Cited: Baidu(2)

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Research Progress on Weapon and Equipment Effectiveness Evaluation Zhou Yuchen, Lin Shengling, Ma Ping, Li Wei, Yang Ming Journal of System Simulation    2020, 32 (8): 1413-1424.   DOI: 10.16182/j.issn1004731x.joss.20-0442 Abstract （1325）      PDF（pc） （933KB）（2278）       Knowledge map    Save Effectiveness is an important indicator to evaluate the weapon and equipment, and can support the decision-making of the weapon and equipment planning, scheme examination, design, development and operational application, et al. With the application of digital thread and digital twin in the life cycle of weapon and equipment, effectiveness evaluation faces a series of challenges, including the complex operational scenario, complicated data scene, expensive simulation, pervasive and agile evaluation, et al. The related concepts of weapon and equipment effectiveness and the development process of effectiveness evaluation are summarized. The problems of effectiveness evaluation are discussed. The solutions for the effectiveness evaluation of weapon and equipment are provided. The digital era research direction in the future is forecasted and summarized. Reference | Related Articles | Metrics

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Application of Virtual-Real Simulation in Military Field Mao Ziquan, Gao Jialong, Gong Jianxing, Liu Quan Journal of System Simulation    2023, 35 (11): 2289-2311.   DOI: 10.16182/j.issn1004731x.joss.22-0672 Abstract （1055）   HTML （447）    PDF（pc） （1673KB）（769）       Knowledge map    Save The definition and content of the virtual-real simulation are presented. According to different technical ideas, the development status and existing problems of virtual-real simulation are summarized from three aspects of digital twin, live-virtual-constructive (LVC) simulation, and parallel system. The similarities and differences, as well as the advantages and disadvantages of the three methods are analyzed and compared, and their main application fields are discussed. In order to deal with difficulties encountered in military training, operational tests, equipment development, and equipment maintenance, a solution based on virtual-real simulation is proposed by means of theoretical guidance, case comparison, and transfer and application. In view of the requirements of high fidelity, confidentiality, and security of relevant equipment and tests in the military field, the future development direction of virtual-real simulation is proposed. Table and Figures | Reference | Related Articles | Metrics

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Simulation Analysis of Load Characteristic of Thin Seam Shearer Drum Zhao Lijuan, Tian Zhen, Liu Xunan, Xie Bo Journal of System Simulation    2015, 27 (12): 3102-3108.   Abstract （443）      PDF（pc） （671KB）（2090）       Knowledge map    Save In order to analysis the load characteristics of thin seam shearer drum under complex geological conditions, the determination conditions of tooth working state were proposed, the drum load calculation scheme was designed according to the condition of coal seam and the working state of shearer. A thin seam shearer drum as the object of research, the load spectrums of drum under five typical working conditions were calculated, the law of cutting resistance moment and cutting power with different drum revolution speed and haulage speed was analyzed. The results show that: the load fluctuation from cutting hard inclusions is significantly higher than other four conditions. Variation range of load torque respect to the change of haulage speed diminishes with the increase of drum revolution speed, cutting power along the drum revolution speed and haulage speed increases rising in both directions. Reference | Related Articles | Metrics Cited: Baidu(10)

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Research on Evaluation Framework of COA Based on Wargaming Liu Haiyang, Tang Yubo, Hu Xiaofeng, Qiao Guangpeng Journal of System Simulation    2018, 30 (11): 4115-4123.   DOI: 10.16182/j.issn1004731x.joss.201811009 Abstract （566）      PDF（pc） （538KB）（1462）       Knowledge map    Save Aiming at the evaluation problem of COA (course of action) level indicators in joint operation, an evaluation framework of COA based on wargaming was proposed. By multidimensional analysis of wargaming data, an evaluation feature space was constructed from basic features generated by data cube models and SoS (system of systems) features based on complex network. Wargaming experiments were used to generate small batch metrics results of COA level indicators, and the corresponding result labels of evaluation feature space data were generated by data fitting method. Two-phase correlation analysis was used for dimensionality reduction of high dimensional evaluation features. Evaluation model was constructed based on deep learning, and was trained by data samples. Corresponding solutions were given to solve some problems of evaluation framework of COA. Reference | Related Articles | Metrics

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Survey of Vision-Based Augmented Reality 3D Registration Technology Hou Shouming, Han Ji, Zhang Yudong, Zhu Ziqiu Journal of System Simulation    2019, 31 (11): 2206-2215.   DOI: 10.16182/j.issn1004731x.joss.19-FZ0286 Abstract （575）      PDF（pc） （1845KB）（1340）       Knowledge map    Save Three-dimensional registration technology is one of the core technologies for augmented reality system implementation. In recent years, with the maturity of augmented reality hardware technology and the expansion of application fields, vision-based three-dimensional registration technology has received more attention and development. This paper introduces the basic principles and classification methods of 3D registration technology, focuses on the analysis of the principles and research status of three kinds of visual three-dimensional registration technology based on artificial identification, natural feature points and model.Furthermore, the defects and treatment methods of three visual registration technologies are discussed. The development prospect of visual 3D registration technology based on SLAM technology and deep learning method is prospected. Reference | Related Articles | Metrics

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Improved APIT Localization Algorithm Based on Wireless Sensor Network Wu Dong, Ji Zhicheng, Zhang Biao Journal of System Simulation    2015, 27 (12): 2965-2972.   Abstract （544）      PDF（pc） （519KB）（2011）       Knowledge map    Save To address the problems of Approximate Point-In-Triangulation Test (APIT) algorithm in Wireless Sensor Network requiring high anchor node density, Out-To-In or In-To-Out error judgment, nodes failure and so on, an improved APIT localization algorithm based on Wireless Sensor Network was proposed. The method based on directional searched node and combined with RSSI ranging calculation by Gaussian fitting method was used to deal with error judgment. Besides, a geometrical method was used to process the failure nodes. The simulation results show that the improved localization algorithm performs greatly better, both in positioning accuracy and number of error judgment, than the traditional APIT localization algorithm and the modified localization algorithm of APIT based on mobile anchor node. Reference | Related Articles | Metrics Cited: Baidu(5)

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Research on the Formalization Description method of Manufacturing Capability Service in Cloud Manufacturing Xiao Yingying, Li Bohu, Chai Xudong, Gong Jing Journal of System Simulation    2015, 27 (9): 2096-2107.   Abstract （591）      PDF（pc） （565KB）（2015）       Knowledge map    Save According to the application demand of manufacturing capability service (MCs) in cloud manufacturing system, MCs' formalization description method was focused on. Based on the connotation analysis of MC, the definition and the classification framework of MC were given. Meanwhile, a meta-model of MCs and its attribution details, as well as a EVA (entity-value- attribute)- based persistence method was proposed to realize the formulization of heterogeneous MCs. The primary research and application in the cloud manufacturing system (TianzhiNet) show that the formalization description method of MCs is feasible. Finally, the future works are given. Reference | Related Articles | Metrics Cited: Baidu(7)

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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 Abstract （3429）      PDF（pc） （1857KB）（2131）       Knowledge map    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. Reference | Related Articles | Metrics

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Research on Opponent Modeling Framework for Multi-agent Game Confrontation Junren Luo, Wanpeng Zhang, Weilin Yuan, Zhenzhen Hu, Shaofei Chen, Jing Chen Journal of System Simulation    2022, 34 (9): 1941-1955.   DOI: 10.16182/j.issn1004731x.joss.21-0363 Abstract （2665）   HTML （199）    PDF（pc） （1776KB）（1433）       Knowledge map    Save As the key technology of multi-agent game confrontation, opponent modeling is a typical cognitive modeling method of agent's behavior. Several typical models of multi-agent game confrontation,non-stationary problems, and meta-game theory are introduced; opponent modeling methods that concludes the frontier theory of opponent modeling are summarized, and the applications and challenges are analyzed. Based on the theory of meta-game, a general opponent modeling framework is constructed with three modules: opponent policy recognition and generation, opponent policy space reconstruction,and opponent exploitation. It is expected to provide theoretical and methodological reference for opponent modeling in multi-agent game confrontation. Table and Figures | Reference | Related Articles | Metrics