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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 （1894）   HTML （103）    PDF（pc） （4154KB）（5667）       Knowledge map    Save Wargaming is a pre-practice activity to study national security and competition, military conflict and war, crisis management, and other major strategic issues. An intelligent wargaming system needs the ability of artificial intelligence technology. This paper briefly summarizes the research progress of intelligent game, the evolution of wargaming, intelligent wargaming, and strategic gaming methods. From the perspective of game theory, it analyzes the game problem model for intelligent wargaming and sorts out the application mode of intelligent wargaming and the organization mode of a strategic game. An intelligent wargaming service-oriented architecture based on cloud native is proposed. Pre-training method for future decision-making cloud is explored for distributed confrontation at cloud edge, and a meta-game analysis framework for strategic wargaming is constructed for cognition of crisis events. It is expected to provide a scientific and effective reference for the research on the theory and tools of intelligent wargaming and offer theoretical and technical support for the new generation of intelligent cloud-edge cooperative command and control. Table and Figures | Reference | Related Articles | Metrics

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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 （675）      PDF（pc） （426KB）（5191）       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

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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 （1664）      PDF（pc） （933KB）（5848）       Knowledge map    Save Effectiveness is an important indicator to evaluate the weapon and equipment, and can support the decision-making of the weapon and equipment planning, scheme examination, design, development and operational application, et al. With the application of digital thread and digital twin in the life cycle of weapon and equipment, effectiveness evaluation faces a series of challenges, including the complex operational scenario, complicated data scene, expensive simulation, pervasive and agile evaluation, et al. The related concepts of weapon and equipment effectiveness and the development process of effectiveness evaluation are summarized. The problems of effectiveness evaluation are discussed. The solutions for the effectiveness evaluation of weapon and equipment are provided. The digital era research direction in the future is forecasted and summarized. Reference | Related Articles | Metrics

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Overview of Digital Twins Application and safe Development Li Xin, Liu Xiu, Wan Xinxin Journal of System Simulation    2019, 31 (3): 385-392.   DOI: 10.16182/j.issn1004731x.joss.19-0025 Abstract （2309）      PDF（pc） （1144KB）（11661）       Knowledge map    Save The Digital Twins simulate the whole process of the manufacture, and promote the development of smart manufacturing and other fields. In view of the rapid development and application of Digital Twins, the concept and history of Digital Twins are outlined, and its related technology system is given. The main application and development trend of Digital Twins in intelligent manufacturing as while as the main characters of Digital Twins in smart cities are combed. The cyber security problem of Digital Twins is discussed for intelligent manufacturing and smart cities. The scheme and suggestion are given for ensuring the cyber security of Digital Twins. Reference | Related Articles | Metrics

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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 （1535）   HTML （655）    PDF（pc） （4184KB）（3750）       Knowledge map    Save Virtual reality fusion can realize the two-way interaction, mapping and linkage between virtual world and physical world, which attracts the attention of countries in the world. In order to sort out and make statistics on concept connotation, academic status and application of the related new technologies, digital twin, cyber-physical systems, metaverse and live-virtual-constructive simulation are taken as representatives.The comparison on the development process, functional characteristics, target trends, etc. is carried out. Table and Figures | Reference | Related Articles | Metrics

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Estimation of the Berthing Parameter of Unmanned Surface Vessels Based on 3D LiDAR Wang Haichao, Yin Yong, Jing Qianfeng, Cong Lin Journal of System Simulation    2024, 36 (8): 1737-1748.   DOI: 10.16182/j.issn1004731x.joss.24-0262 Abstract （6733）   HTML （2540）    PDF（pc） （4470KB）（2526）       Knowledge map    Save Accurate estimation of berthing parameters is a prerequisite for unmanned surface vessel autonomous berthing. A method for berthing parameter estimation is proposed based on shipborne 3D LiDAR. The method consists of two main modules: ship pose estimation and berthing state estimation. In the berthing position estimation module, raw point cloud data undergoes preprocessing algorithms aims at downsampling and removing outliers. Point cloud registration algorithms are employed to determine the vessel's position during the berthing process. The berthing state estimation module extracts berth boundary information by using the MSAC algorithm, and on the basis of this information, calculates the berthing parameters. Experimental analysis results show that the ship pose information and berthing parameter information obtained by the algorithm are consistent with reality. The average berthing distance error is less than 0.023 m, and the average angle error is less than 0.26°, which verifies the accuracy and rationality of this berthing parameter estimation algorithm. Table and Figures | Reference | Related Articles | Metrics

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Summary of Simulation Technology and Its Application in Training Field Zhiming Qiu, Heng Li, Yufang Zhou, Duzheng Qing Journal of System Simulation    2023, 35 (6): 1131-1143.   DOI: 10.16182/j.issn1004731x.joss.23-0351 Abstract （2054）   HTML （675）    PDF（pc） （3245KB）（3766）       Knowledge map    Save High-tech weapons, operations and battlefield environment become more and more increasingly sophisticated. It is an effective way to resolve the conflicts between huge equipment training cost and limited resources and improve training quality by building networked, systematic and intelligent simulation training equipment and system, and conducting systematic countermeasure simulation training based on present simulation technologies and training resources. The current situation and trend of the development of system architecture of simulation, simulation modeling, enemy simulation, information system simulation, etc are evaluated and summarized. It initially analyses the application and efficacy on the US Navy's normalized training environment, typical systems such as 'Alpha' intelligence air war simulation training system and the American 2021 large-scale military exercises are analyzed. Aiming at the real combat simulation training capacity under the combat condition, five research directions are proposed, which could be the references for engineering and technical personnel in this field. Table and Figures | Reference | Related Articles | Metrics

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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 （4949）      PDF（pc） （478KB）（7144）       Knowledge map    Save Reinforcement Learning (RL) achieves lower time response and better model generalization in Job Shop Scheduling Problem (JSSP). To explain the current overall research status of JSSP based on RL, summarize the current scheduling framework based on RL, and lay the foundation for follow-up research, the backgrounds of JSSP and RL are introduced. Two simulation techniques commonly used in JSSP are analyzed and two commonly used frameworks for RL to solve JSSP are given. In addition, some existing challenges are pointed out, and related research progress is introduced from three aspects: direct scheduling, feature representation-based scheduling, and parameter search-based scheduling. Reference | Related Articles | Metrics

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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 （2798）   HTML （957）    PDF（pc） （6596KB）（2313）       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

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UAV Path Planning Based on Improved Harris Hawk Algorithm and B-spline Curve Huang Zhifeng, Liu Yuanhua Journal of System Simulation    2024, 36 (7): 1509-1524.   DOI: 10.16182/j.issn1004731x.joss.23-0403 Abstract （5681）   HTML （2264）    PDF（pc） （6057KB）（2305）       Knowledge map    Save Aiming at the global path planning problem of unmanned aerial vehicles (UAVs) in dynamic environments, this paper proposes an improved Harris Hawk optimization algorithm. To address the problem of insufficient search performance in the later stage of the algorithm, an adaptive chaos and core population dynamic partitioning strategy is proposed to improve the searchability of the algorithm in the later stage. The Harris Hawk update formula is modified, and the golden sine strategy is introduced to improve the search efficiency of the algorithm. Then, an adaptive dynamic cloud optimal solution perturbation strategy is integrated to improve the ability of the algorithm to jump out of the local extremum. For the three-dimensional grid path planning problem, a valuation function is established. By calculating the cost of reaching the endpoint for each grid, the algorithm is aided in filtering nodes, allowing it to search for a shorter path. For the problem of the non-smooth path, the path angle is processed by using the cubic B-spline curvefor three times to make the path more suitable for UAV flight. The effectiveness of the improved algorithm is validated by simulation experiments on international standard test functions and static and dynamic grid maps of varying sizes and complexity. The experimental results demonstrate that the proposed algorithm significantly outperforms the control group algorithm. On average, the planned path is shortened by 14.94% and the number of corners is reduced by 53.31%. Table and Figures | Reference | Related Articles | Metrics

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Intelligent Wargaming System: Change Needed by Next Generation Need to be Changed Hu Xiaofeng, Qi Dawei Journal of System Simulation    2021, 33 (9): 1997-2009.   DOI: 10.16182/j.issn1004731x.joss.21-0728 Abstract （4194）      PDF（pc） （1665KB）（6202）       Knowledge map    Save The future direction of wargaming system is intelligent, and the most significant feature of intelligence is the modeling of cognition. The main problems of wargaming system are summarized, the main difficulties of modeling brought by cognition and the overall framework of intelligent wargaming system design are discussed, the technical ways of transformation and upgrading based on the existing wargaming system are given from four aspects of model construction, system design, wargaming ecology and test inspection. It provides direction and reference to the development and construction of the next generation intelligent wargaming system. Reference | Related Articles | Metrics

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Traffic Flow Prediction Based on Deep Learning Liu Mingyu, Wu Jianping, Wang Yubo, He Lei Journal of System Simulation    2018, 30 (11): 4100-4106.   DOI: 10.16182/j.issn1004731x.joss.201811007 Abstract （1430）      PDF（pc） （448KB）（3560）       Knowledge map    Save Traffic flow prediction is an important component of urban intelligent transportation system. With the development of machine learning and artificial intelligence, deep learning has been applied in traffic engineering area. Gated recurrent unit (GRU) neural network is selected to predict urban traffic flow. Cross-validation method is used to explore the optimal number of gated recurrent units. The GRU model is compared with other three predictors such as support vector regression and evaluated in different performance measurements. The results show that GRU model has better performance in traffic flow prediction than the other three models. Reference | Related Articles | Metrics

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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 （2763）      PDF（pc） （4779KB）（5095）       Knowledge map    Save Digital twins connect the physical world and the information world, and provide new ideas for the analysis and solution of complex traffic problems. The research and application status of digital twins in transportation scenes are reviewed on the basis of sorting out the basic concepts, development history and key technologies of digital twins. The key technologies for the construction of digital twins in transportation scenes that need to be breakthrough are analyzed from the four aspects of "people-vehicle-road-environment" combined with the characteristics of the elements of traffic operation. The prospect of digital twin transportation applications in the development of vehicles, intelligent operation and maintenance of important infrastructure, unmanned virtual testing, analysis and experiments of traffic problems are expected. Reference | Related Articles | Metrics

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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 （1559）   HTML （466）    PDF（pc） （1673KB）（2602）       Knowledge map    Save The definition and content of the virtual-real simulation are presented. According to different technical ideas, the development status and existing problems of virtual-real simulation are summarized from three aspects of digital twin, live-virtual-constructive (LVC) simulation, and parallel system. The similarities and differences, as well as the advantages and disadvantages of the three methods are analyzed and compared, and their main application fields are discussed. In order to deal with difficulties encountered in military training, operational tests, equipment development, and equipment maintenance, a solution based on virtual-real simulation is proposed by means of theoretical guidance, case comparison, and transfer and application. In view of the requirements of high fidelity, confidentiality, and security of relevant equipment and tests in the military field, the future development direction of virtual-real simulation is proposed. Table and Figures | Reference | Related Articles | Metrics

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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 （2565）      PDF（pc） （5187KB）（3998）       Knowledge map    Save The construction of the next generation intelligent wargaming system can not be accomplished at one move, but through building an ecosystem to gradually grow intelligence. The basic concepts of the intelligent wargame ecosystem, and are defined the idea of dynamic openness, diversified levels and co-evolution are proposed. Drawing lessons from the human intelligence growing process and learning-evolution mechanism, the double helix model of the next generation of wargame cognitive intelligent evolution and growth is constructed. On the basis of the OLTA cycle, the wargame deduction ecosystem system framework is given. The application of the technologies, such as digital twins, human-machine integration and symbiosis, sample generation, intelligence testing and evaluation, cloud native and so on, in the construction of an ecological environment for wargaming games are analyzed. Reference | Related Articles | Metrics

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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 （751）   HTML （54）    PDF（pc） （2979KB）（2305）       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

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Research Advances on Electric Vehicle Routing Problem Models and Algorithms Zhuang Helin, Xia Xiaoyun, Li Kangshun, Chen Zefeng, Zhang Xianchao Journal of System Simulation    2024, 36 (2): 320-337.   DOI: 10.16182/j.issn1004731x.joss.22-1161 Abstract （680）   HTML （44）    PDF（pc） （2160KB）（2160）       Knowledge map    Save The development of electric vehicle provides an alternative to conventional fuel vehicles for logistics companies. Using electric vehicles has the merits of less pollution and low noise, but the characteristics of limited cruising range and limited number of charging stations are new challenges. Electric vehicle routing problems(EVRPs) have been widely used in transportation, logistics and other fields, and have received much attention. A comprehensive survey of EVRP and its many variants are presented and the respective backgrounds and applicable conditions are analyzed. The solving approaches of EVRPs are categorized, the strengths and weaknesses of each algorithm are analyzed, and the related practical applications are reviewed. The basic information and some node distribution maps of EVRP benchmark dataset and EVRP with time windows benchmark dataset are given, and the algorithms that have been applied in EVRP benchmark dataset are compared and analyzed. The future development trends of EVRPs is depicted. Table and Figures | Reference | Related Articles | Metrics

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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 （3973）      PDF（pc） （191KB）（4005）       Knowledge map    Save Wargaming is an important auxiliary means of war deduction, scheme evaluation and operational analysis. Wargaming deduction system can support the research of operational problems, innovation of tactics and development of operational concepts. The development status of foreign computer wargaming system from the deduction method and system research is reviewed, and the online deduction the multi-level joint deduction, as well as the research status of multi-level wargaming fusion design, the multi system combination and auxiliary tool development are mainly introduced, which can providereference to the development and application of computer wargame system. Reference | Related Articles | Metrics

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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 （687）   HTML （55）    PDF（pc） （3089KB）（1689）       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

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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 （3318）      PDF（pc） （2942KB）（6418）       Knowledge map    Save A brief interpretation of the rapidly developing “New Internet+ Big Data+ Artificial Intelligence+” era is given in the paperand the essence and the architectureof neo-type artificial intelligence systems are explained. The meaning of neo-type artificial intelligence system oriented modelling and simulation technology is proposed and the new challenges they are facing are discussed. The research contents and preliminaryresults on neo-type artificial intelligence system oriented modelling and simulation technology are given, which includeneo-type artificial intelligence system oriented modelling/secondary modelling, intelligent simulation computer, smart cloud simulation and intelligent simulation hardware/software supporting system technology, and intelligent simulation system application engineering technology. Several artificial intelligence application examples, such as intelligent manufacturing, intelligent medical treatment, smart city and intelligent agriculture etc., are introduced. Suggestions on the development of neo-type artificial intelligence system oriented modelling and simulation technology are proposed. Reference | Related Articles | Metrics

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Opto-mechanical-thermal Coupling Analysis Method and Implementation of High-precision Optical System Liang Zhao, Zhigang Zhang, Yao Sun Journal of System Simulation    2023, 35 (6): 1381-1394.   DOI: 10.16182/j.issn1004731x.joss.23-0092 Abstract （594）   HTML （10）    PDF（pc） （4679KB）（1880）       Knowledge map    Save High-precision optical system is easy to be affected by space environment. Under the condition of high temperature, structural load, etc., the image quality of the optical system becomes poor, and the opto-mechanical-thermal coupling analysis is needed. Due to the independent development of the optical simulation, structure simulation, thermal simulation and others, the simulation data can not be effectively coupled and transferred. An interdisciplinary coupling analysis method is proposed, in which the integrated analysis idea is adopted and the polynomial fitting is used as the interface to solve the irregular deformation of optical element surface. Through the implement of the best fitting rigid body displacement, the best fitting radius of curvature, polynomial fitting, etc., the coupling analysis between finite element analysis tool and optical analysis tool is realized. Taking Cassegrain system as the test object, the effectiveness of the method is verified. The method provides a reference to the optical performance evaluation of the optical-mechanical system and the design optimization of the system under extreme conditions. Table and Figures | Reference | Related Articles | Metrics

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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 （2907）   HTML （736）    PDF（pc） （702KB）（2687）       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

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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 （913）      PDF（pc） （910KB）（2102）       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

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Handling Constrained Multi-objective Optimization Problems Based on Relationship Between Pareto Fronts Wang Yubo, Hu Chengyu, Gong Wenyin Journal of System Simulation    2024, 36 (4): 901-914.   DOI: 10.16182/j.issn1004731x.joss.22-1430 Abstract （371）   HTML （16）    PDF（pc） （747KB）（1477）       Knowledge map    Save To address the challenges of balancing the constraint satisfaction and objective function optimization, and dealing with the complex feasible regions in constrained multi-objective optimization problems(CMOPs), a classification-based search approach is proposed based on different Pareto front relationships. A dual-population dual-phase framework is proposed in which an auxiliary population Pa and a main population Pm are evolved and the evolution process is divided into a learning phase and a search phase. During the learning phase, Pa explores unconstrained Pareto front (UPF) and Pm explores constrained Pareto front(CPF), through which the relationship between UPF and CPF is determined. After completing the learning phase, the different classified relationships guide the subsequent search strategies. In the search phase, the algorithm adaptively adjusts the search strategy of Pa to provide effective assistance for Pm according to the different classification relationships between UPF and CPF. Based on this framework, Pareto front relationships for different CMOPs are classified to achieve the more effective searching for CPF. Experimental results show that the proposed algorithm has a better performance compared with the seven state-of-the-art constrained multi-objective evolutionary algorithms (CMOEAs). Through learning and utilizing the relationship between UPF and CPF, the more appropriate search strategies can be selected to handle CMOPs with different characteristics and a more advantageous final solution set can be got. Table and Figures | Reference | Related Articles | Metrics

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Development of Combat Concept of Intelligent Land Assault System Based on DoDAF Wang Can, Ji Haoran, Guo Qisheng, Dong Zhiming, Tan Yaxin, Mu Ge Journal of System Simulation    2023, 35 (11): 2397-2409.   DOI: 10.16182/j.issn1004731x.joss.22-0628 Abstract （462）   HTML （22）    PDF（pc） （3012KB）（1556）       Knowledge map    Save In view of military demand traction in the development of land assault equipment, a combat concept of land assault systems for future intelligent combat is developed. Basedon the definition of relevant concepts and research boundaries, the combat concept model framework and modeling steps are proposed based on DoDAF, and the combat effect, combat process, combat nodes, resource interaction, system composition, and capability characteristics are analyzed in combination with the model description. The combat concept verification is carried out from the aspects of system combat efficiency and communication load by simulation experiments. The results show that the intelligent assault system has more agile strike links and stronger firepower strike capability than the traditional assault equipment, and the new communication load pressure is within the current technical capacity support range. It proves that the selection, allocation, and combat mode of the core executor system in the combat concept are reasonable and feasible, which has reference significance for the subsequent development of equipment. Table and Figures | Reference | Related Articles | Metrics

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Improved Particle Swarm Algorithm of Unrelated Parallel Batch Scheduling Optimization Lizhen Du, Tao Ye, Yuhao Wang, Yajun Zhang, Zifeng Xuan Journal of System Simulation    2023, 35 (7): 1549-1561.   DOI: 10.16182/j.issn1004731x.joss.22-0367 Abstract （273）   HTML （6）    PDF（pc） （983KB）（1689）       Knowledge map    Save To address the problems of population diversity loss and the tendency to fall into local optimality in the PSO (particle swarm optimization)algorithm in dealing with unrelated parallel batch scheduling problems, an improved scheduling optimization algorithm for PSO is proposed for minimizing the maximum completion time solution. A real number encoding based on the sequence of artifacts is used for the encoding operation. A new strategy based on J_B local search is designed based on the mixed integer programming model of the problem. The Metropolis criterion of the simulated annealing algorithm isintroduced into the individual extreme value search of the population particles.The performance of the algorithm is tested with randomly generated small,medium and large instances and compared with proposed metaheuristic for this scheduling problem and three other metaheuristics.The experimental results and statistical tests shows that the algorithm performs significantly better than the comparison algorithm. Table and Figures | Reference | Related Articles | Metrics

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Research on Theoretical Framework of Simulative Experiment Evalution for Intelligent Unmanned Swarm Cooperation Wang Jipeng, Zhang Xing, Wu Hao, Gu Yu, Yang Huijie Journal of System Simulation    2024, 36 (4): 795-804.   DOI: 10.16182/j.issn1004731x.joss.23-0070 Abstract （507）   HTML （44）    PDF（pc） （2903KB）（1447）       Knowledge map    Save As a typical representative of intelligent equipment, the technology, equipment and combat applications of intelligent unmanned swarm are being promoted globally. However, the research on experimental theory of unmanned swarm lags behind the technology and equipment in general. The emergence of swarm ability and complexity of confrontation of unmanned swarm, the nonrepeatability and non-generalization of swam experiment take great challenge to the basic theory and methods of unmanned swarm. The four experimental models including intelligent technology, intelligent equipment, intelligent swarm, and intelligent sos(system of systems) experiment from the perspective of system engineering and the whole life cycle of equipment construction management are proposed. The basic theory of unmanned swarm experiment is analyzed, and the basic theoretical framework of autonomous cooperative experiment of unmanned swarm is constructed. Table and Figures | Reference | Related Articles | Metrics

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Research on Collaborative Optimization Method of Multi-UAV Task Allocation and Path Planning Xiao Peng, Xie Feng, Ni Haihong, Zhang Min, Tang Zhili, Li Ni Journal of System Simulation    2024, 36 (5): 1141-1151.   DOI: 10.16182/j.issn1004731x.joss.23-0012 Abstract （538）   HTML （8）    PDF（pc） （2505KB）（1368）       Knowledge map    Save Aiming at the task requirements of multi-UAV to perform multi-target collaborative reconnaissance, a collaborative optimization method of multi-machine and multi-objective task allocation and path planning is proposed. Based on the partheno genetic algorithms (PGA), a cost function combined with the actual path cost is constructed through the Dubins curve. To further reduce the calculation cost, a clustering algorithm based on UAV detection distance is proposed, and the generated clustering point is used as a new waypoint of UAV. The simulation results show that considering the dangerous area and the large number of reconnaissance points, the algorithm can effectively complete the reconnaissance task allocation of the UAV and at the same time form a preliminary route. It improves the rationality and convergence speed of task assignment, and reduces the overall cost. Table and Figures | Reference | Related Articles | Metrics

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Research on Nested Named Entity Recognition in Missile Field Text Jingwen Guan, Xiao Song, Xiaoqing Li, Tong Yang, Junhua Zhou Journal of System Simulation    2023, 35 (8): 1757-1767.   DOI: 10.16182/j.issn1004731x.joss.22-0456 Abstract （326）   HTML （10）    PDF（pc） （926KB）（1549）       Knowledge map    Save Table and Figures | Reference | Related Articles | Metrics

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Dynamic Path Planning for Mobile Robot Based on RRT* and Dynamic Window Approach Zhang Rui, Zhou Li, Liu Zhengyang Journal of System Simulation    2024, 36 (4): 957-968.   DOI: 10.16182/j.issn1004731x.joss.22-1543 Abstract （720）   HTML （41）    PDF（pc） （2871KB）（1407）       Knowledge map    Save A dynamic path planning method combining RRT* and dynamic window approach(DWA) is proposed to realize the obstacle avoidance of mobile robot in complex environment of dynamic obstacles. Improved RRT* algorithm is used to generate the global optimal safe path based on the known environment information. By eliminating the dangerous nodes generated by RRT* algorithm, the security of global path is ensured.Greedy algorithm is used to remove the redundant nodes in the path to reduce the length of global path. DWA is used to track along the global optimal path planned by the improved RRT* algorithm. When static obstacles appear on the global path, the weights of DWA algorithm evaluation function is adjusted twice to avoid the obstacles and return to the original path in time. When moving obstacles is in the environment. By detecting the dangerous distance in advance, changing direction and speeding up, the robot can safely drive away from the area. Simulation experiments verify that the improved fusion algorithm proposed in complex dynamic environment has shorter running time, smaller path cost, and always keeps safe distance from obstacles, which ensures the optimal tracked path while safely avoiding the dynamic obstacles. Table and Figures | Reference | Related Articles | Metrics

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Digital Twin Modeling and Control of Robots for Intelligent Manufacturing Scenarios Li Ying, Gao Lan, Zhu Zhisong Journal of System Simulation    2024, 36 (7): 1536-1545.   DOI: 10.16182/j.issn1004731x.joss.23-0481 Abstract （4033）   HTML （290）    PDF（pc） （5342KB）（1331）       Knowledge map    Save The introduction of Industry 4.0 and the Made in China 2025 development policy has accelerated the transformation of the manufacturing industry from automation to intelligence. Industrial robots, as the representative equipment of intelligent manufacturing, will also become more intelligent. Based on digital twin technology, digital modeling, and simulation debugging are conducted for such problems as interference and collision, tedious operation, and low efficiency of industrial robot spot welding debugging in production. Process Simulate from TECNOMATIX software is utilized to digitally model the robot spot welding station and define its motion, and TIA Portal and S7-PLCSIM Advanced are applied to build a virtual simulation and commissioning environment to realize multi-robot cooperative work at the processing station controlled by an external virtual PLC. The simulation results show that the robot can reach all working points during the motion and the joint speed is always kept within a reasonable range, which meets the requirements of safety and stability in the actual production process. At the same time, the robot spot welding station simulation by digital twin technology can find product defects in time, shorten the debugging cycle, and reduce the cost. Table and Figures | Reference | Related Articles | Metrics

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From Situation Cognition Stepped into Situation Intelligent Cognition Zhu Feng, Hu Xiaofeng, Wu Lin, He Xiaoyuan, Lü Xuezhi, Liao Ying Journal of System Simulation    2018, 30 (3): 761-771.   DOI: 10.16182/j.issn1004731x.joss.201803001 Abstract （1432）      PDF（pc） （1191KB）（3600）       Knowledge map    Save Aimed at operational situation cognition and some relevant problems under the background of the Joint-Tactical, some deep researches are carried out in this paper. The concept models of combat situation cognition and situation intelligent cognition are proposed respectively, and some related concepts are clarified. The situation intelligent cognition technology framework is proposed, and five key problems which should be solved are analyzed, and the possible technical routes are given. These research contents and achievements build a foundation for stepping into the situation intelligent cognition from combat situation cognition. Reference | Related Articles | Metrics

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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 （1053）      PDF（pc） （625KB）（3880）       Knowledge map    Save A comprehensive dynamic model of X-type quadrotor was established and simulated. Different from other widely used models that usually treated quadrotor as a single-rigid-body system, the rotors, propellers and the aircraft body were treated as a multi-rigid-body system in the proposed model. The 3D model wireframe was constructed using Solidworks and the important inertial parameters were extracted from the design data. Two types of multi-channel-double-loop vector PD flight controller were designed and fine tuned, one was based on quaternion feedback and the other was based on Euler angle feedback. The close-loop systems were simulated on Matlab/Simulink. The simulation results show that both systems achieve stable control of aircraft position and pose, however, quaternion feedback based controller shows shorter transition time, less computation and no singularity point compared to Euler angle feedback based controller. Reference | Related Articles | Metrics Cited: Baidu(5)

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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 （1599）      PDF（pc） （1181KB）（3401）       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

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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 （4000）      PDF（pc） （1857KB）（3397）       Knowledge map    Save The development and evolution of modeling and simulation technology, and its importance in scientific and technological progress are briefly reviewed. The intrinsic relation between digital twin and modeling and simulation is revealed by analyzing the background and concept of digital twin. The way to build and evaluate a digital twin based on modeling and simulation theoretical methods is discussed. to ensure the credibility. Reference | Related Articles | Metrics

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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 （1270）      PDF（pc） （1600KB）（2645）       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

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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 （2272）   HTML （221）    PDF（pc） （4294KB）（1929）       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

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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 （3064）      PDF（pc） （1792KB）（8053）       Knowledge map    Save The modeling analysis on the NCP (Novel Coronavirus Pneumonia) epidemic transmission before and after the closure of Wuhan is presented. On the basis of preprocessing the epidemic data, the classical SIR model and differential recurrence method are used to analyze and forecast the epidemic situation in the stage of control. The theoretical value and measured value fits well. In the stage of free transmission, the logistic model is used to compare and analyze the epidemic data five days in advance or later with the actual data to show the importance of taking the epidemic prevention measures in time. The model is universally applicable to the analysis of the disease transmission in other related areas. Reference | Related Articles | Metrics

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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 （1794）   HTML （69）    PDF（pc） （506KB）（2462）       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

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Review of Simulation Model Validation Methods Li Wei, Zhou Yuchen, Lin Shenglin, Ma Ping, Yang Ming Journal of System Simulation    2019, 31 (7): 1249-1256.   DOI: 10.16182/j.issn1004731x.joss.19-0250 Abstract （1489）      PDF（pc） （416KB）（1913）       Knowledge map    Save Modeling and simulation has become an important way to cognize and research objective world, and the credibility of simulation models is the premise and basics for carrying out simulation activities. The ever-increasing complexity of the simulation objects and demands of simulation applications for users lead to a great challenge in validation of complex simulation model, which characterize a variety of complex features. This paper aims to summarize the concepts and development of simulation model validation, classify existing validation methods, analysis the applicable conditions of these methods and provide a brief review of some new validation methods. Furthermore, some emerging issues in the simulation model validation are analyzed to shed some light on the future research directions. Reference | Related Articles | Metrics