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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 （3697）   HTML （203）    PDF（pc） （4154KB）（37903）       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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A Novel Algorithm for Improving Fairness Between Uplink and Downlink Flows in Heterogeneous Network Li Peiyu, Li Zheqing, Wang Hui, Xia Qian Journal of System Simulation    2018, 30 (3): 1144-1153.   DOI: 10.16182/j.issn1004731x.joss.201803047 Abstract （450）            Knowledge map    Save In order to improve the fairness between uplink and downlink flows in AP optimization, a novel algorithm called FOUD(fairness over uplink and downlink) is proposed.Considering the influence of the attempt limit and the bit error rate of wireless, the FOUD algorithm modeling of AP and wireless stations is studied separately by using two-dimensional Markov chain, which derives the probability of data sending under the condition of different bit error rate and different number of uplink and downlink flows. Simulation results show that FOUD can improve the fairness of the uplink and downlink bandwidth as well as the throughput. Reference | Related Articles | Metrics | Comments（0）

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Aerodynamic Noise Generating Mechanism of Corbula Type Throttle Valves Li Yueqin, Xiao Fei, Fan Ming, Xu Xiaodong Journal of System Simulation    2018, 30 (4): 1615-1621.   DOI: 10.16182/j.issn1004731x.joss.201804050 Abstract （525）            Knowledge map    Save The throttle mechanism of pneumatic noise and the noise spectrum characteristics of corbula type throttle valve are studied by targeting on aerodynamic noise problems caused by gas when flowing through the corbula type throttle valve, the method of CFD software with acoustic software simulationis used as well. The studies have showed that when the flow of fluid flows through shrink section, it can be effected by throttling effect, the speed of gas on the hole exit increases rapidly to form under-expanded supersonic jet, causing strong turbulence and shock wave noise. The conclusionis that the construction of throttling gas by small holes is the root cause for fluid noise in the valve. The flow noise within valve is characterized by spectrum of wideband; the aerodynamic noise with low frequency possesses higher energy; the noise amplitude of high frequency drops quickly along the flowing direction of working medium; and the main noise band moves to the low frequency band. 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 （1169）      PDF（pc） （426KB）（11977）       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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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 （6112）      PDF（pc） （478KB）（10477）       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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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 （2191）      PDF（pc） （933KB）（10281）       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 （5035）      PDF（pc） （1665KB）（9260）       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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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 （3461）      PDF（pc） （1792KB）（8676）       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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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 （1376）      PDF（pc） （910KB）（7288）       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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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 （2887）      PDF（pc） （5187KB）（7187）       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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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 （3849）      PDF（pc） （2942KB）（7155）       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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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 （4547）      PDF（pc） （191KB）（6767）       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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Simulation Verification and Decision-making Key Technologies of Unmanned Swarm Game Confrontation: A Survey Liang Xiaolong, Yang Aiwu, Zhang Jiaqiang, Hou Yueqi, Wang Ning, Huang Xiao, Gong Junbin Journal of System Simulation    2024, 36 (4): 805-816.   DOI: 10.16182/j.issn1004731x.joss.23-0072 Abstract （1360）   HTML （71）    PDF（pc） （3089KB）（6655）       Knowledge map    Save Unmanned swarm game confrontation is a new combat mode and plays a crucial role in intelligent warfare. Its core is the autonomous generation of a series of game confrontation decision sequences to "empower" the swarm. The progress of system simulation verification for the unmanned swarm game confrontation is analyzed. The key technologies of the autonomous decision-making are discussed from three aspects, technology based on expert systems and game theory, technology based on swarm intelligence and optimization theory, and technology based on neural networks and reinforcement learning. The key technology research conducted by the author's team on the autonomous decision-making is presented. The development directions of the unmanned swarm game confrontation are proposed. 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 （2206）   HTML （481）    PDF（pc） （1673KB）（6650）       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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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 （2177）      PDF（pc） （1181KB）（6560）       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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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 （3784）   HTML （769）    PDF（pc） （702KB）（6553）       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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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 （2428）   HTML （675）    PDF（pc） （4184KB）（6436）       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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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 （6128）      PDF（pc） （637KB）（6428）       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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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 （2791）   HTML （696）    PDF（pc） （3245KB）（6303）       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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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 （4906）      PDF（pc） （686KB）（6250）       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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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 （2319）   HTML （594）    PDF（pc） （2491KB）（6206）       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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Image Semantic Segmentation Algorithm Based on Improved DeepLabv3+ Zhao Weiping, Chen Yu, Xiang Song, Liu Yuanqiang, Wang Chaoyue Journal of System Simulation    2023, 35 (11): 2333-2344.   DOI: 10.16182/j.issn1004731x.joss.22-0690 Abstract （1393）   HTML （50）    PDF（pc） （3780KB）（6195）       Knowledge map    Save Mainstream image semantic segmentation networks currently face problems such as incorrect segmentation, discontinuous segmentation, and high model complexity, which cannot be flexibly and efficiently deployed in practical scenarios. To this end, an image semantic segmentation network that optimizes the DeepLabv3+ model is designed by comprehensively considering the network parameters, prediction time, and accuracy. The lightweight EfficientNetv2 is adopted to extract backbone network features and improve parameter utilization. In the atrous spatial pyramid pooling module, the mixed strip pooling is utilized to replace the global average pooling, and a depthwise separable dilated convolution is introduced to reduce parameters and improve the ability to learn multi-scale information. The attention mechanism is employed to enhance the model's representation power, and the multiple shallow features of the backbone network are extracted to enrich the image's geometric details. The experiment shows that the algorithm achieves 81.19% mIoU with a parameter size of 55.51×106, which optimizes the segmentation accuracy and model complexity and improves model generalization. Table and Figures | 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 （1353）   HTML （64）    PDF（pc） （2979KB）（6096）       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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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 （5399）      PDF（pc） （2830KB）（5980）       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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Survey on Intelligent Planning Methods from Large Language Models Perspective Zhou Yanzhong, Luo Junren, Gu Xueqiang, Zhang Wanpeng Journal of System Simulation    2025, 37 (4): 823-844.   DOI: 10.16182/j.issn1004731x.joss.23-1468 Abstract （1582）   HTML （44）    PDF（pc） （2604KB）（5930）       Knowledge map    Save . Starting from the perspective of large language models, this paper gives an overview of the definition and development of intelligent planning, and briefly introduces the traditional methods of intelligent planning; based on the close relationship between large language model intelligent agents and intelligent planning, introduces the architecture of large language models and typical large model intelligent agents; focusing on the intelligent planning for large language models, combs through the learning of planning languages, chain of thought, feedback optimization, and process automation; combining with the current challenges and difficulties, introduces the outlook of cutting-edge research on intelligent planning with large models. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Survey on Modeling and Simulation of Internet Public Opinion in China Zhang Mingxin Journal of System Simulation    2019, 31 (10): 1983-1994.   DOI: 10.16182/j.issn1004731x.joss.19-0522 Abstract （1174）      PDF（pc） （453KB）（5904）       Knowledge map    Save Modeling and Simulation of Internet public opinion can analyze the causes of public opinion and its transmission path, track and predict the trend of public opinion, so as to improve the ability of public opinion guidance for its control departments. This paper reviews and analyses the existing research on Modeling and simulation of Internet public opinion. From the point of view of research directions, the current research covers many directions, mainly including the evolution mechanism of Internet public opinion and the effectiveness of guidance mechanism. From the point of view of research methods, domestic research on Internet public opinion modeling and simulation is flourishing. From the point of view of research platforms, simulation platforms corresponding to modeling methods are different, but the mainstream is the Logo-like language platform based on multi-agent theory. Reference | Related Articles | Metrics | Comments（0）

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Reliability Simulation Testing and Verification Technologies for Intelligent Systems: Frontiers, Progress, and Challenges Wang Zili, Gao Yuntian, Yang Dezhen, Liu Yeyang, Ren Yi Journal of System Simulation    2025, 37 (7): 1583-1606.   DOI: 10.16182/j.issn1004731x.joss.25-0554 Abstract （2052）   HTML （47）    PDF（pc） （3913KB）（5833）       Knowledge map    Save Intelligent systems are extensively deployed in domains such as transportation, energy and water resources, smart healthcare, and aerospace, where their reliability is directly linked to public safety and social stability, thus requiring thorough and scientifically rigorous verification. This article conducted an in-depth exploration of the current state of reliability simulation and verification techniques for intelligent systems. It defined the concept of reliability specific to intelligent systems and identified key challenges they face in areas including mission scenario modeling, characteristic modeling and simulation, evaluation and verification, and simulation platforms. Future development requirements were proposed to guide research toward more trustworthy, precise, and efficient reliability simulation and verification technologies for intelligent systems, thereby facilitating their high-quality development. Table and Figures | 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 （3372）      PDF（pc） （4779KB）（5824）       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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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 （4958）      PDF（pc） （1266KB）（5700）       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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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 （5560）      PDF（pc） （3039KB）（5636）       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 （4724）      PDF（pc） （1515KB）（5587）       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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Dynamic Testing Architecture of Intelligent Unmanned Systems Based on Parallel Battlefields Liu Dayong, Dong Zhiming, Guo Qisheng, Zhang Wenjun, Gao Jiancheng Journal of System Simulation    2025, 37 (8): 1933-1950.   DOI: 10.16182/j.issn1004731x.joss.25-0345 Abstract （1141）   HTML （12）    PDF（pc） （4750KB）（5586）       Knowledge map    Save To improve the inadequacy of traditional test and identification systems, this paper proposed an overall architecture for dynamic testing across the entire lifecycle based on the concept of parallel battlefield (integration of physical, virtual, and cognitive battlefields), meeting the new requirements for the testing of intelligent unmanned systems. This architecture included high-fidelity mapping between virtual and physical battlefields, red-blue adversarial deductions and model optimization, simulation to reality (Sim2Real), human-machine collaboration, and cloud-end integrated control, as well as multidimensional assessment and confidence analysis. Centered on the principles of "mutual driving between virtual and physical battlefields, dynamic closed-loop, human-machine collaboration, and integrated testing and warfare," this architecture effectively met the spiral evaluation and upgrade requirements of intelligent unmanned systems.Key supporting technologies for implementing the architecture were demonstrated.A feasibility analysis was conducted, and measures and recommendations were proposed to promote the implementation of the architecture.This architecture could provide a reference for establishing a testing system for intelligent unmanned systems. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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A Cyber-physical Integrated Modeling Method Oriented for Motion Simulation of Complex Systems Wenzheng Liu, Heming Zhang Journal of System Simulation    2022, 34 (5): 954-963.   DOI: 10.16182/j.issn1004731x.joss.22-0097 Abstract （2520）   HTML （228）    PDF（pc） （4294KB）（5566）       Knowledge map    Save The traditional virtual modeling of motion simulation lacks the dynamic modeling of cyber subsystems and physical subsystems in complex systems. The advantages of the traditional kinematic virtual modeling and cyber calculation are combined, and aiming at the problem that the accuracy and real-time property of motion simulation cannot meet the actual industrial manufacturing requirements, a cyber physical integrated modeling method for the motion simulation of complex systems is proposed. The inconsistency between real robotic driving and virtual robot motion is solved, which is verified by a case study of mechanical arm motion control. A virtuality-reality mapping platform for complex system motion simulation is built, which integrates the modeling environment CoppeliaSim, together with actual robot feedback of motion and mapping model of simulated-actual robot motion, to obtain the unique pose solution of the motion equation. Experimental results show that the proposed method can realize real-time motion simulation of industrial robot. Table and Figures | 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 （1724）      PDF（pc） （1600KB）（5520）       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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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 （4526）      PDF（pc） （1102KB）（5412）       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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Research and Application Progress of Tracking Registration Methods in AR Assembly Wei Fang, Shuhong Xu, Lei Han, Zhangwenchi Li Journal of System Simulation    2023, 35 (7): 1438-1454.   DOI: 10.16182/j.issn1004731x.joss.22-0335 Abstract （1571）   HTML （77）    PDF（pc） （3147KB）（5375）       Knowledge map    Save Augmented reality (AR) can superimpose virtual auxiliary information in appropriate positions at the actual work site to achieve intelligent assembly guidance of "what you see is what you operate", alleviating the difficulties for workers to recognize drawings in traditional drawing-based assembly and the problems of misassembly, missing parts and so on. Stable tracking registration in the assembly site environment is the basis for achieving the fusion of virtual and actual scene in augmented assembly visual guidance, and also a key issue in the practical application and deployment of existing augmented assembly. In view of the research and application results in tracking and registration for AR-assisted assembly in recent years at home and abroad, this paper systematically analyzes the current research status of three different augmented assembly tracking registration methods based on vision, sensors and hybrids. The limitations of existing tracking registration methods in AR augmented assembly aids and application development trends are summarized. It is meaningful to refer for the subsequent construction and research of AR intelligent assembly systems. Table and Figures | 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 （3346）   HTML （972）    PDF（pc） （6596KB）（5279）       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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Improving NSGA-III Algorithm for Solving High-dimensional Many-objective Green Flexible Job Shop Scheduling Problem Xu Yigang, Chen Yong, Wang Chen, Peng Yunxian Journal of System Simulation    2024, 36 (10): 2314-2329.   DOI: 10.16182/j.issn1004731x.joss.23-0694 Abstract （1903）   HTML （11）    PDF（pc） （2792KB）（5255）       Knowledge map    Save Aiming at the poor initial solution quality and low local search efficiency of NSGA-III in solving the many-objective flexible job shop scheduling model, an improved NSGA-III (NSGA-III-TV) is proposed. Based on MSOS encoding, the different mixed initialization strategies are adopted for OS and MS chromosomes to improve the quality of initial solutions. Based on the critical path, an improved N6 neighborhood structure is used for neighborhood search, which effectively reduce the completion time and reducing search randomness. Three effective mutation operators are employed to expand the search space and improve the convergence capability in the later stages. Test results show that NSGA-III-TV has good performance and practicality in solving the high-dimensional many-objective flexible job shop scheduling problems, which provides strong support for the intelligent green transformation and the upgrading of manufacturing workshops of enterprises Table and Figures | 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 （2488）   HTML （79）    PDF（pc） （506KB）（5167）       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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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 （1738）      PDF（pc） （1191KB）（5140）       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）