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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 （5335）      PDF（pc） （478KB）（8335）       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 | Comments（0）

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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 （3302）      PDF（pc） （1792KB）（8200）       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 | Comments（0）

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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 （3034）   HTML （122）    PDF（pc） （4154KB）（7820）       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 | Comments（0）

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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 （1960）      PDF（pc） （933KB）（7755）       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 | Comments（0）

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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 （4442）      PDF（pc） （1665KB）（7476）       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 | Comments（0）

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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 （3670）      PDF（pc） （2942KB）（6779）       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 | Comments（0）

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Survey of Ship Detection in Video Surveillance Based on Shallow Machine Learning Bi Zhenbo, Zhang Shiyou, Yang Hua, Wu Yuanhong Journal of System Simulation    2021, 33 (12): 2792-2807.   DOI: 10.16182/j.issn1004731x.joss.21-FZ0781 Abstract （966）      PDF（pc） （426KB）（6104）       Knowledge map    Save At present, detection of ship targets in video surveillance based on shallow machine learning methods is still attracting attention in the fields of underwater cultural heritage protection, marine aquaculture, maritime traffic, and port management. This paper provides a review and discussion for this kind of ship detection methods. The ship target detection based on video surveillance is divided into five parts according to the key technologies involved: preprocessing, region of interest extraction, target segmentation, ship feature extraction and ship type recognition. According to different functional modules, the core problems involved in them are pointed out, and the core ideas, advantages and disadvantages of representative algorithms in each kind of problems are elaborated. The existing problems and future prospects of ship detection in video surveillance based on shallow machine learning are discussed. Reference | Related Articles | Metrics | Comments（0）

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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 （4337）      PDF（pc） （686KB）（5747）       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 | Comments（0）

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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 （5391）      PDF（pc） （637KB）（5717）       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 | Comments（0）

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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 （4298）      PDF（pc） （191KB）（5559）       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 | Comments（0）

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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 （3129）      PDF（pc） （4779KB）（5347）       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 | Comments（0）

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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 （4871）      PDF（pc） （2830KB）（5328）       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 | Comments（0）

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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 （2722）      PDF（pc） （5187KB）（5281）       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 | Comments（0）

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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 （2462）   HTML （691）    PDF（pc） （3245KB）（5251）       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 | Comments（0）

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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 （4276）      PDF（pc） （1266KB）（4972）       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 | Comments（0）

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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 （3978）      PDF（pc） （1102KB）（4892）       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 | Comments（0）

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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 （5282）      PDF（pc） （3039KB）（4768）       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 | Comments（0）

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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 （4165）      PDF（pc） （1515KB）（4530）       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 | Comments（0）

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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 （2037）   HTML （664）    PDF（pc） （4184KB）（4449）       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 | Comments（0）

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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 （1195）      PDF（pc） （625KB）（4386）       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 | Comments（0） Cited: Baidu(5)

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Review on AGV Scheduling Optimization Fu Jianlin, Zhang Hengzhi, Zhang Jian, Jiang Liangkui Journal of System Simulation    2020, 32 (9): 1664-1675.   DOI: 10.16182/j.issn1004731x.joss.19-0042 Abstract （1921）      PDF（pc） （1181KB）（4314）       Knowledge map    Save AGV scheduling plays an important role in improving the efficiency and reducing manufacturing cost, but it is also a very complex combinatorial optimization procedure. AGV scheduling optimization is divided into three types, AGV static scheduling, AGV dynamic scheduling and AGV simultaneous scheduling with other resources scheduling. Various methods are summarized and listed, including traditional analysis method, modeling and simulation method, intelligent optimization algorithm and hybrid optimization method, and the advantages and disadvantages of each method are also analyzed. The deficiencies of AGV scheduling research are pointed out and the research directions for future are presented. Reference | Related Articles | Metrics | Comments（0）

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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 （1590）      PDF（pc） （1191KB）（4240）       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 | Comments（0）

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Overview of Research and Application on Autonomous Vehicle Oriented Perception System Simulation Ruoxuan Wang, Jianping Wu, Hui Xu Journal of System Simulation    2022, 34 (12): 2507-2521.   DOI: 10.16182/j.issn1004731x.joss.22-FZ0921 Abstract （3528）   HTML （767）    PDF（pc） （702KB）（4200）       Knowledge map    Save Following the rapid progress of science and technology, vehicles with autonomous driving or auxiliary driving function enter into vehicle market. However, in the past decade, traffic accidents still occurred frequently, and the safety of these functions become the focus. Simulation technology provides a good platform to test the perception system of autonomous vehicle. Focus on the sensor simulation modeling of autonomous vehicle perception system, from the perspective of single sensor simulation, multi-sensor simulation and classic simulation platform including millimeter wave radar, lidar and camera, the existing research are reviewed, and the shortcomings and development trends of simulation modeling of perception system are summarized. The perception efficiency, travel safety, and the development of autonomous vehicle is promoted. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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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 （4334）      PDF（pc） （1857KB）（4014）       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 | Comments（0）

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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 （2110）   HTML （591）    PDF（pc） （2491KB）（3862）       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 | Comments（0）

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Knowledge Representation Method of Joint Operation Situation Based on Knowledge Graph Wang Baokui, Wu Lin, Hu Xiaofeng, He Xiaoyuan Journal of System Simulation    2019, 31 (11): 2228-2237.   DOI: 10.16182/j.issn1004731x.joss.19-FZ0304 Abstract （1509）      PDF（pc） （555KB）（3829）       Knowledge map    Save Lacking of common knowledge for understanding and judging complex situation of operation by machines is one of the difficulties in intelligent situation cognition. The knowledge representation methods based on knowledge graph are reviewed. The characteristics and difficulties of joint operation situation knowledge representation are analyzed. Moreover, the concept of scenario knowledge graph is presented, as well as the knowledge sources and basic content of scenario knowledge graph are described. This paper also points out that the joint knowledge representation method based on discrete symbols and continuous vectors in specific scenario is an effective way to express joint operation situation knowledge. Reference | Related Articles | Metrics | Comments（0）

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Unmanned Air Vehicles Launching Aircraft Combat System and Key Technologies for Penetrating Counterair Minghao Li, Wenhao Bi, An Zhang, Wenxuan Sun Journal of System Simulation    2022, 34 (9): 1920-1932.   DOI: 10.16182/j.issn1004731x.joss.21-0403 Abstract （2534）   HTML （655）    PDF（pc） （1197KB）（3763）       Knowledge map    Save Penetrating counterair is an important countermeasure to the anti-access/area denial environment. Under this operational requirement, the unmanned air vehicles launching aircraft (UAVLA)has received much attention due to the advantages of load quantity and variety, operational range and duration, and development time and cost. Based on the review of the concept development and supporting research related to the UAVLA, the top-level concepts of operations such as the component systems,operational process, operational events tracking, and information interaction of the UAVLA combat system (UAVLACS) are designed. The key technologies of the system are prospected from four aspects:intelligent cognition of battlefield situation under complex environment, trusted and reliable long-range resilient communication, multi-UAVs bionic autonomous decision making and coordination, and universal UAVs launch control in the cargo bay, to promote the development of UAVLACS and technology reserve,and provide a theoretical basis and modeling framework for the simulation and evaluation of UAVLACS operation process and functions. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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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 （1868）   HTML （474）    PDF（pc） （1673KB）（3746）       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 | Comments（0）

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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 （910）      PDF（pc） （358KB）（3730）       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 | Comments（0）

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Review on Key Technologies of Industrial Control System Security Simulation Wang Bailing, Liu Hongri, Zhang Yaofang, Lü Sicai, Wang Zibo, Wang Qimeng Journal of System Simulation    2021, 33 (6): 1466-1488.   DOI: 10.16182/j.issn1004731x.joss.20-0875 Abstract （1557）      PDF（pc） （1600KB）（3726）       Knowledge map    Save In order to cope with the increasingly serious industrial internet security problems, simulation is viewed as a critical backboned technology for drilling of network attack and defense, tracking back and analyzing of security incidents, as well as validating of pre-research technology. On the basis of summarizing the studies of three types of typical industrial control system security simulation platform, the key technologies used in industrial control cyber range and industrial control honeynets are highlighted. Technologies are summarized, such as the virtualization technology of industrial control network and industrial control components, the construction technology of industrial control target field dominated by flow simulation and behavior simulation, the trapping technology of industrial control honeynet under the interconnection of multiple honeypots, and the data acquisition and evaluation technology. The challenges and future trends in the field of security simulation of industrial control systems are presented. Reference | Related Articles | Metrics | Comments（0）

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Research on Description Specification of Extensible Simulation Scenario Xu Xiangzhong, Xiong Jun, Shen Fengwei Journal of System Simulation    2021, 33 (6): 1241-1247.   DOI: 10.16182/j.issn1004731x.joss.21-0389 Abstract （974）      PDF（pc） （433KB）（3653）       Knowledge map    Save Simulation scenario description specification is of great significance to speed the Simulation Scenario Data (SSD) preparation, to improve the quality and to promote the reuse of the SSD. An in-depth comparison between simulation scenario and military scenario is made. The composition and application process of military scenario based on the description specification are designed, above which, the design scheme of the description specification is discussed. The extensible military scenario description specification is proposed from the following two aspects, that is, the basic elements including time and coordinate system, and the data interchange format. Series of scenario instances are produced. Research results are helpful to enhance the consistency of initial boundary conditions for the interconnect of various simulation training centers and to promote the reuse of the SSD. Reference | Related Articles | Metrics | Comments（0）

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Thinking of Aerospace Equipment Systematization Simulation Technology Development Bao Weimin, Qi Zhenqiang Journal of System Simulation    2024, 36 (6): 1257-1272.   DOI: 10.16182/j.issn1004731x.joss.24-0548 Abstract （3121）   HTML （966）    PDF（pc） （6596KB）（3636）       Knowledge map    Save The aerospace field is flourishing in the new era. Aerospace equipment presents new characteristics such as systematization, new quality, high efficiency and intelligence. Simulation technology plays a more important role in the digital aerospace era as a means of enhancing efficiency and empowerment covering all stages of the entire lifecycle, including project demonstration, research and development, testing, manufacturing, training, and maintenance. The conception of aerospace equipment systematization simulation technology is introduced, the current development status and practices at home and abroad are elaborated, and the future development trends and challenges of aerospace equipment systematization simulation technology are evaluated. Focusing on the systematic development of aerospace simulation technology, on the basis of key breakthroughs and evolving promotion, the development ideas are proposed from the dimensions of technical system, supporting applications, and utility evolution. The contribution of the emerging hotspots such as artificial intelligence, big data, virtual reality, and digital technology to the development of aerospace equipment systematization simulation is discussed. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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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 （3651）   HTML （227）    PDF（pc） （1776KB）（3586）       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 | Comments（0）

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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 Abstract （3033）      PDF（pc） （1724KB）（3567）       Knowledge map    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. Reference | Related Articles | Metrics | Comments（0）

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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 （845）      PDF（pc） （1031KB）（3557）       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 | Comments（0） Cited: Baidu(1)

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Intelligent Effectiveness Evaluation and Optimization on Weapon System of Systems Based on Deep Learning Li Ni, Li Yuhong, Gong Guanghong, Huang Xiaodong Journal of System Simulation    2020, 32 (8): 1425-1435.   DOI: 10.16182/j.issn1004731x.joss.20-0353 Abstract （1709）      PDF（pc） （1120KB）（3464）       Knowledge map    Save In the process of conventional WSoS (Weapon System of Systems) operational effectiveness evaluation, multiple complex steps including reconfiguring the scenario, rerunning the WSoS simulation system, and conducting effectiveness evaluation model calculations are taken. For the problems of conventional effectiveness evaluation method, such as the complex process and time-consuming, the intelligent evaluation method of WSoS combat effectiveness based on machine learning regression is proposed, and the optimization process of combat effectiveness based on evolutionary strategy is introduced. Taking the full connection depth regression network as the prediction model, the guiding selection principles of network hidden layer number and sample size are given on the basis of the test results of multiple data sets. The optimal output is obtained by the genetic algorithm to adjust the network input, and the high iterative performance is got. Case study of a simulation system preliminarily verifies the effectiveness and value of the prediction model and the optimization method. Reference | Related Articles | Metrics | Comments（0）

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Review of System of Systems Combat Effectiveness Evaluation and Optimization Methods Ziwei Zhang, Qisheng Guo, Zhiming Dong, Ang Gao, Yifei Wang Journal of System Simulation    2022, 34 (2): 303-313.   DOI: 10.16182/j.issn1004731x.joss.21-0225 Abstract （2178）   HTML （77）    PDF（pc） （506KB）（3419）       Knowledge map    Save The characteristics of system-of-systems combat effectiveness evaluation and optimization are analyzed. In light of the "holism", this paper proposes an idea of dividing system of systems combat effectiveness evaluation and optimization into three stages of comprehensive evaluation, analysis, and optimization. As for the practical problems that need to be solved in the three stages, typical methods suitable for each stage are summarized.The advantages and disadvantages of different methods are then compared. In view of the practical difficulties in implementing system of systems combat effectiveness evaluation and optimization guided by the "holism", this paper puts forward the next research directions from the perspectives of the design of a comprehensive application framework, the construction of an evaluation index system, and the innovation in the experimental deduction mode to provide support for the effective implementation of system of systems combat effectiveness evaluation and optimization methods. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Uncertainty Simulation Method Based on Deep Bayesian Networks Learning Nie Kai, Zeng Kejun, Meng Qinghai Journal of System Simulation    2022, 34 (1): 79-85.   DOI: 10.16182/j.issn1004731x.joss.20-0629 Abstract （1202）      PDF（pc） （910KB）（3322）       Knowledge map    Save There are lots of uncertain elements in battlefields situation assessment and the uncertainty simulation would enhance the ability of situation assessment. A deep variational autoencoder bayesian networks (BN) model with memory module is proposed aiming at the problem of being unable to represent the uncertainties exactly caused by the various combat objects and more uncertain elements. Based on the deep BN learning, the situation assessment model is designed from the deep generative model. The principle of deep generative model mixing with the memory module is discussed and the leaning and reasoning process of the model is explained. The proposed model is verified by an air strike BN construction example. The results show that the deep neural networks can approximate to the nonlinear transform of the latent variables and the designed outside memory module can store lots of local features extracted by the neural networks. The BN conditional probabilities are attained by the automatic learning and enhance the uncertainty simulation ability of BN. Reference | Related Articles | Metrics | Comments（0）

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Modeling and System Realization of Assembly Robot Based on Digital Twin Jian Xu, Xin Song, Xiuping Liu, Bo Chen, Huanying Yan Journal of System Simulation    2023, 35 (7): 1497-1507.   DOI: 10.16182/j.issn1004731x.joss.22-0272 Abstract （1090）   HTML （56）    PDF（pc） （2979KB）（3257）       Knowledge map    Save Aiming at the problems of time-consuming, labor-intensive and poor accuracy in programming of complex operations of industrial assembly robots, an online programming method for robots based on digital twin is proposed. From the four dimensions of geometry, contact dynamics, behavior and rules, the faithful mapping of the robot from real to virtual space is realized. The verification of multi-part assembly trajectory planning program, real-time synchronous operation and state monitoring are realized. An assembly robot modeling and online programming system based on digital twin is designed and built. A six-axis industrial robot cell is taken as an example to verify the practicality and accuracy of the system, which provides a new solution for complex assembly robot programming. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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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 （735）      PDF（pc） （1329KB）（3254）       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 | Comments（0） Cited: Baidu(2)