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

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

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

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

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

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

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

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Simulation and Optimization of Integrated Production Logistics System of Underground Coal Mining, Dressing, and Backfilling Xiangqian Wang, Puhao Guo, Xiangrui Meng Journal of System Simulation    2023, 35 (5): 907-919.   DOI: 10.16182/j.issn1004731x.joss.22-0055 Abstract （883）   HTML （541）    PDF（pc） （2203KB）（649）       Knowledge map    Save In order to study the green mining mode of coal, the bottleneck problem in the integrated production logistics system of underground coal mining, dressing, and backfilling under the goal of achieving the basic production capacity target is explored, so as to promote the coordinated and efficient logistics transportation of underground coal and gangue. A mine in Shanxi is selected as the prototype, and the queuing theory is adopted to analyze the operation process of the integrated coal production logistics system. A discrete event model is established with the help of Anylogic simulation software for related experimental optimization and calculation. According to the simulation results, the intelligent sorting system, lifting equipment, and crusher serve as the production bottlenecks of the integrated coal production logistics system, and relevant optimization experiments are carried out to improve the utilization rate of the equipment and promote the coordinated operation of the system. Table and Figures | 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 （437）   HTML （42）    PDF（pc） （2979KB）（552）       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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A Framework on Equipment Digital Twin Credibility Assessment Han Lu, Lin Zhang, Kunyu Wang, Zejun Huang, Hongbo Cheng, Jin Cui Journal of System Simulation    2023, 35 (7): 1455-1471.   DOI: 10.16182/j.issn1004731x.joss.23-0057 Abstract （877）   HTML （64）    PDF（pc） （3750KB）（533）       Knowledge map    Save A key bottleneck in the large-scale application of equipment digital twin is the lack of systematic and effective credibility assessment methods. This paper analyzes the dynamic evolution, virtual-real interactivity and other key features of the equipment digital twin. A credibility assessment framework for the equipment digital twin is proposed, including the credibility connotation of the digital twin, a multi-dimensional and multi-level credibility assessment index system and a credibility assessment methodology. The whole assessment process is illustrated with the robotic arm digital twin as an example, which can provide directional guidance for the assessment and construction of the digital twin. Table and Figures | Reference | Related Articles | Metrics

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Research on Dynamic Simulation Technology for Satellite Internet Xiaofeng Wang, Taiqian Shen, Yuan Liu Journal of System Simulation    2023, 35 (7): 1472-1486.   DOI: 10.16182/j.issn1004731x.joss.22-0333 Abstract （653）   HTML （57）    PDF（pc） （3664KB）（505）       Knowledge map    Save Network simulation is an important support for new technology verification and security technology evaluation in the rolling construction of satellite internet. A dynamic simulation architecture which based on cloud platform is proposed to address the highly time-varying characteristics of satellite internet. An algorithm of distributed simulation technology of satellite links, which improves the synchronization of accuracy of dynamic simulation of links, is designed to tackle the time-varying of satellite links. Aiming at the topology changes in the process of satellites motion, an algorithm of real-time topology simulation based on time splice is raised, which realizes real-time and accurate changes of simulation topology. In order to reconstruct simulation topology in time, a dynamic simulation technology of satellite links is put forward which can simulate unexpected topology caused by Human in loop operation. Experimental data show that compared with the traditional method, the proposed method improves the synchronization accuracy of link dynamic simulation about 96%. The topology change scene caused by satellites motion can be simulated in real time and accurately. For the topology change scene caused by Human in loop operation, it can complete the real-time reconstruction of the topology. Table and Figures | Reference | Related Articles | Metrics

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A Precise Attention Tracking System Based on Computer Vision Liu Jiyuan, Qi Hanwen, Liu Zhicheng, Fei Minrui, Zhang Kun Journal of System Simulation    2023, 35 (10): 2087-2100.   DOI: 10.16182/j.issn1004731x.joss.23-FZ0829 Abstract （621）   HTML （380）    PDF（pc） （3779KB）（504）       Knowledge map    Save A precise attention tracking system based on machine vision is designed to address the difficulty in studying students' attention allocation. The system includes an image capture device and an accurate attention tracking algorithm. The image capture device can capture the clearer ocular images. The pupil center localization algorithm replaces VGG16 with lightweight MobileNetv3 and uses two-stage feature fusion and center keypoint prediction techniques to improve the speed and accuracy. The algorithm achieves a speed of up to 36 frames/s and 97.42% accuracy. The gaze tracking algorithm compensates for the head movements to achieve the meticulous gaze tracking. An interactive software for assessing cognitive abilities in school-age children is developed. The software calculates the eye movement indicators by using the collected gaze coordinates and evaluates the cognitive abilities based on psychological theory, and provides a reference for the psychology and education research. Table and Figures | Reference | Related Articles | Metrics

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Application of 3D Scanned Big Data of Large-scale Cultural Heritage Objects Based on Noise-robust Transparent Visualization Tanaka Satoshi Journal of System Simulation    2023, 35 (8): 1635-1650.   DOI: 10.16182/j.issn1004731x.joss.23-0480 Abstract （979）   HTML （396）    PDF（pc） （7522KB）（497）       Knowledge map    Save Table and Figures | Reference | Related Articles | Metrics

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Improved Object Detection of YOLOv4 in Foggy Conditions Shugang Liu, Linkun Zhang, Haodong Du, Hongtao Wang Journal of System Simulation    2023, 35 (8): 1681-1691.   DOI: 10.16182/j.issn1004731x.joss.22-0423 Abstract （289）   HTML （30）    PDF（pc） （3526KB）（493）       Knowledge map    Save Table and Figures | Reference | Related Articles | Metrics

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Simulation of Real-Time Path Planning and Formation Control for Unmanned Surface Vessel Dalei Song, Wenhao Gan, Yingzhi Xu, Xiuqing Qu, Jiangli Cao Journal of System Simulation    2023, 35 (5): 957-970.   DOI: 10.16182/j.issn1004731x.joss.22-0002 Abstract （655）   HTML （41）    PDF（pc） （6598KB）（490）       Knowledge map    Save Safety and collision-free navigation are the basis of normal navigation of an unmanned surface vessel. The high-fidelity virtual ocean is constructed by using Unity3D.On the basis of the vessel modeling, a real-time path planning and formation control method for unknown complex environments is proposed. Firstly, the local environment information is obtained by the laser sensor. Then the real-time local path planning is completed by combining A-star and route-thinning methods under the replanning strategy. In addition, formation control is carried out based on the leader-follower strategy and consistency method, and the artificial potential field is used to complete the navigation task of the unmanned surface vessel in terms ofobstacle avoidance. The simulation experiments on various complex scenarios show that the system has excellent authenticity and visual effects and provides an effective means for simulating vessel navigation. At the same time, based on the proposed algorithm, the vessel fleet can arrive at the preset waypoints successively and independently change the formation to avoid obstacles in real-time, which has certain theoretical significance and practicability in engineering applications. Table and Figures | Reference | Related Articles | Metrics

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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 （880）   HTML （61）    PDF（pc） （3147KB）（473）       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

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Intelligent Path Planning for Mobile Robots Based on SAC Algorithm Laiyi Yang, Jing Bi, Haitao Yuan Journal of System Simulation    2023, 35 (8): 1726-1736.   DOI: 10.16182/j.issn1004731x.joss.22-0412 Abstract （235）   HTML （24）    PDF（pc） （2027KB）（457）       Knowledge map    Save Table and Figures | Reference | Related Articles | Metrics

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An Approach to Solving the Incoming Target Based on Uncertain Time Series Jing Yang, Minghua Lu, Xingchen Hu, Jinping Wu Journal of System Simulation    2023, 35 (6): 1245-1259.   DOI: 10.16182/j.issn1004731x.joss.22-0123 Abstract （163）   HTML （16）    PDF（pc） （4807KB）（455）       Knowledge map    Save The traditional solution method for the incoming attacking target in water lacks the time series characteristics mining on multi-dimensional and uncertain observation data. Aiming at the time series prediction with high complexity and missing data, a method based on adaptive window interpolation and deep variable weight long-term and short-term memory network model for missing time series observation data with multiple sampling frequencies is proposed, which is compared and verified on the simulation data and public test data set. Aiming at the random missing problem caused by the inconsistency of sampling frequency of multi-source observation information, an adaptive window imputation method is introduced to adaptively adjust the imputation window according to the missing rate of observation information and reduce the error level of traditional imputation methods. The long and short-term memory network model with variable weights is introduced to time series data, and the loss weight of back propagation is adaptively adjusted according to the missing time series observation data at multiple sampling frequencies while being suitable for imputation of missing time series observation data at multiple sampling frequencies. Experiment results show that the comprehensive use of adaptive window interpolation and variable weight long-term and short-term memory network model can provide a faster and accurate decision-making reference for predicting and defending the incoming targets. Table and Figures | Reference | Related Articles | Metrics

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Research on Collaborative Task Allocation Method of Multiple UAVs Based on Blockchain Shuangcheng Niu, Yuqiang Jin, Kunhu Kou Journal of System Simulation    2023, 35 (5): 949-956.   DOI: 10.16182/j.issn1004731x.joss.21-1348 Abstract （623）   HTML （48）    PDF（pc） （1755KB）（444）       Knowledge map    Save The autonomous collaborative control of a multi-unmanned aerial vehicle (UAV) system lacks a unified underlying technology platform and faces single point failure and information security threats. In order to solve these problems, an idea to build collaborative task planning platforms based on blockchain technology is proposed. With thecollaborative task allocation of multiple UAVs as research objects, an online, safe, high-efficiency, and real-time task allocation method is designed. The contract network task allocation algorithm is described as a smart contract, and system consensus is reached based on the blockchain consensus algorithm. In addition, a simulation experiment system is built by using Hyperledger Fabric open source software, and simulation verification is carried out for a typical marine conventional submarine search and arrest application scenario. Experimental results confirm the feasibility and superiority of the proposed method. Table and Figures | Reference | Related Articles | Metrics

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Application of Digital Twin in Digital Transformation of Thermal Power Units Ze Dong, Wei Jiang, Xiaoyan Wang, Lei Liu Journal of System Simulation    2023, 35 (6): 1144-1156.   DOI: 10.16182/j.issn1004731x.joss.22-0229 Abstract （963）   HTML （97）    PDF（pc） （9296KB）（431）       Knowledge map    Save The national strategy of "carbon peaking and carbon neutralization" and the industry consensus of "reducing cost, improving quality and increasing efficiency" require the digital transformation of thermal power units. The application of digital twin in the digital transformation of thermal power units is researched, the four-dimensional model and five internal relationships of thermal power unit digital twin system are proposed, the functions, architecture and objectives of system scheduling platform and five kinds of services, intelligent development, intelligent perception, intelligent evaluation, intelligent optimization and intelligent security are introduced, and the three development stages of the system are prospected. It is expected to improve the measurement, control, scheduling and management of thermal power units, consolidate the strategic position of thermal power supply and peak shaving, and realize the digital transformation goals of intelligent control, intelligent management, energy saving, low carbon and environmental protection. 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 （312）   HTML （27）    PDF（pc） （2160KB）（417）       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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Obstacle Avoidance Path Planning and Simulation of Mobile Picking Robot Based on DPPO Junqiang Lin, Hongjun Wang, Xiangjun Zou, Po Zhang, Chengen Li, Yipeng Zhou, Shujie Yao Journal of System Simulation    2023, 35 (8): 1692-1704.   DOI: 10.16182/j.issn1004731x.joss.22-0487 Abstract （257）   HTML （34）    PDF（pc） （4788KB）（416）       Knowledge map    Save Table and Figures | Reference | Related Articles | Metrics

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Monitoring Method Research on Passenger Behavior on Escalator Based on Digital Twin Lü Nan, Qibing Wang, Jiawei Lu, Juntong Chen, Gang Xiao Journal of System Simulation    2023, 35 (8): 1737-1747.   DOI: 10.16182/j.issn1004731x.joss.22-0434 Abstract （192）   HTML （21）    PDF（pc） （5517KB）（402）       Knowledge map    Save Table and Figures | Reference | Related Articles | Metrics

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Joint Optimization Strategy of Computing Offloading and Edge Caching for Intelligent Connected Vehicles Fei Ding, Yuchen Sha, Ying Hong, Xiao Kuai, Dengyin Zhang Journal of System Simulation    2023, 35 (6): 1203-1214.   DOI: 10.16182/j.issn1004731x.joss.22-0147 Abstract （470）   HTML （43）    PDF（pc） （2321KB）（401）       Knowledge map    Save To guarantee the low-delay communication of intelligent connected vehicles, the V2X channel model and the multi-access edge computing (MEC) technology, are used to carry out the research of the joint optimization strategy of computing offloading and edge caching. An intelligent connected vehicle with task offloading and edge caching model least-deep deterministic policy gradient(L-DDPG) is developed. By integrating the vehicular local and edge computing resources, the classification processing of different computing tasks in V2X scenarios is supported. The vehicular computing request is prejudged by edge platform to ensure the rapid response of continuous homogeneous computing tasks. Combining with the least recently used strategy, the new computing tasks are efficiently managed. A joint offloading decision for computing offloading and edge caching is carried out based on deep deterministic policy gradient(DDPG) algorithm. Simulation results show that the performance of L-DDPG model is better than that of traditional models, which can effectively improve the system performance, ensure the service quality, and reduce the time delay and resource consumption. Table and Figures | Reference | Related Articles | Metrics

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Golden Eagle Optimizer Algorithm Combining Levy Flight and Brownian Motion Jiaxin Deng, Damin Zhang, Qing He, Jianping Zhao Journal of System Simulation    2023, 35 (6): 1290-1307.   DOI: 10.16182/j.issn1004731x.joss.23-0232 Abstract （244）   HTML （7）    PDF（pc） （4029KB）（397）       Knowledge map    Save Aiming at the slow attenuation and low convergence precision of golden eagle optimization algorithm, a new algorithm combining Levy fight and Brownian motion is proposed. In order to increase the diversity, Fuch chaotic map is introduced to initialize the golden eagle individuals. Levy flight mechanism and Brownian motion mechanism are introduced into the position update formula of golden eagle individual to improve the search accuracy and help to the jump out of local optimum. The reduction factor is introduced into the overall position update formula of the golden eagle individual to improve the convergence speed. Compared with 9 original algorithms and 5 improved algorithms under 14 benchmark test functions, the experimental results show that the improved golden eagle optimization algorithm has better performance, which are verified by three engineering applications. Table and Figures | Reference | Related Articles | Metrics

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Robot Path Planning by Fusing Particle Swarm Algorithm and Improved Grey Wolf Algorithm Menglong Cao, Wenbin Zhao, Zhiqiang Chen Journal of System Simulation    2023, 35 (8): 1768-1775.   DOI: 10.16182/j.issn1004731x.joss.22-0407 Abstract （218）   HTML （13）    PDF（pc） （731KB）（388）       Knowledge map    Save Table and Figures | 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 （288）   HTML （7）    PDF（pc） （4679KB）（384）       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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Intelligent Air Defense Task Assignment Based on Assignment Strategy Optimization Algorithm Jiayi Liu, Gang Wang, Qiang Fu, Xiangke Guo, Siyuan Wang Journal of System Simulation    2023, 35 (8): 1705-1716.   DOI: 10.16182/j.issn1004731x.joss.22-0432 Abstract （244）   HTML （11）    PDF（pc） （4757KB）（377）       Knowledge map    Save Table and Figures | Reference | Related Articles | Metrics

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Lidar SLAM Mapping Method Adapted to Environmental Spatial Changes Songming Jiao, Xin Yao, Hui Ding, Yufei Zhong Journal of System Simulation    2023, 35 (8): 1788-1798.   DOI: 10.16182/j.issn1004731x.joss.22-0489 Abstract （168）   HTML （18）    PDF（pc） （3910KB）（371）       Knowledge map    Save Table and Figures | Reference | Related Articles | Metrics

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Short-term Vehicle Speed Prediction With Spatiotemporal Convolution Fused With Variational Modal Decomposition Kai Zhang, Haipeng Lu, Ying Han, Lingyun Zhang, Yujie Ding Journal of System Simulation    2023, 35 (8): 1651-1660.   DOI: 10.16182/j.issn1004731x.joss.22-0394 Abstract （1043）   HTML （87）    PDF（pc） （1858KB）（352）       Knowledge map    Save Table and Figures | Reference | Related Articles | Metrics

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Obstacle Avoidance Motion in Mobile Robotics Tang Yunchao, Qi Shaojun, Zhu Lixue, Zhuo Xianrong, Zhang Yunqi, Meng Fan Journal of System Simulation    2024, 36 (1): 1-26.   DOI: 10.16182/j.issn1004731x.joss.23-1297E Abstract （292）   HTML （176）    PDF（pc） （3815KB）（346）       Knowledge map    Save The advancement of artificial intelligence technology has significantly enhanced the utilization of mobile robots in various fields such as industry, aerospace, and agriculture. The autonomous obstacle avoidance capability of these robots is crucial to the safety and efficiency of their operations in diverse settings. Path planning, a key technology in obstacle avoidance, plays an essential role in the overall performance of these systems. This paper presents a comprehensive review of path planning technology for mobile robots, categorizing the algorithms into global planning and local obstacle avoidance according to their operational requirements. Specific focus is given to the global planning methods involving sampling, graph search, and biomimetics, assessing their convergence rate, memory demands, and computational efficiency, along with strategies for improvement. The paper then explores local obstacle avoidance algorithms, explicating their foundational principles, characteristics, and ideal use cases. In conclusion, the paper synthesizes the state-of-the-art in autonomous obstacle avoidance, noting that the strategic integration of various algorithms to refine planning performance, and the enhancement of traditional algorithms' intelligence is projected to be a leading trend in future research. Table and Figures | Reference | Related Articles | Metrics

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Terrain Surface Texture Generation Networks for User Semantics Customization Gao Yan, Li Jimeng, Xu Jianzhong, Quan Hongyan Journal of System Simulation    2023, 35 (10): 2077-2086.   DOI: 10.16182/j.issn1004731x.joss.23-FZ0802E Abstract （815）   HTML （626）          Knowledge map    Save Customizing terrain based on user semantics has practical value in the virtual terrain modeling of military simulation applications. This study provides a terrain surface texture generation network (TSTG-Net) that can synthesize realistic terrain based on user input semantics. TSTG-Net is designed as a Pix2pix structure and is based on CGAN. It learns the topology of customized terrain by encoding and parsing user semantics and regards the semantics feature as the constraint of CGAN. In the generator-discriminator structure, user-customized semantics are used as the input, and the real terrain with semantics is employed as the ground truth in network optimization. In order to obtain more detailed terrain information, the terrain generation strategy based on wavelet transform is studied, which takes full use of the wavelet transformation analysis method to solve the problem of terrain synthesis. TSTG-Net is designed as double encoding. The first encoding-decoding process takes ordinary 4-layer encoding and 4-layer decoding structures, and the second encoding process is designed based on DWT to extract more precise features of the texture surface. Different from the state of the art, our double encoding structure can generate the terrain texture map as realistically as possible, and then finer terrain textures can be generated through the constraints conditions. In addition, it extracts the redundant features of multiple channels, and a lightweight model with lower complexity can be obtained. Experiments carried out on the public real terrain data and the synthesized terrain data both verify that the proposed algorithm can achieve user terrain customization and generate realistic results in better time performance. Table and Figures | Reference | Related Articles | Metrics

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A UAV Target Tracking and Control Algorithm Based on SiamRPN Songming Jiao, Hui Ding, Yufei Zhong, Xin Yao, Jiahao Zheng Journal of System Simulation    2023, 35 (6): 1372-1380.   DOI: 10.16182/j.issn1004731x.joss.22-0142 Abstract （310）   HTML （11）    PDF（pc） （2115KB）（330）       Knowledge map    Save Aiming at the requirement of autonomously tracking land moving targets of rotary-wing UAVs, an autonomous and stable UAV tracking and control system that can adapt to the common interference environments such as scale changes, occlusions, and attitude changes is constructed. The system extracts the imaging position of the target in airborne camera through the twin network based on deep learning, and obtains the relative pose of the target. The image processing algorithm is designed to process the icons in the tracking frame, and the yaw angle of UAV relative to the tracking target is obtained, Kalman filter is introduced to process the above pose information, and finally the tracking control nearly coinciding with the trajectory of the moving target is realized. The algorithm is based on Gazebo simulation platform and can track the moving target stably for a long time under interference condition. Table and Figures | Reference | Related Articles | Metrics

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Research on Period Emergency Supply Distribution Optimization Under Uncertainty Li Zhang, Mingling He, Qiushuang Yin, Ning Li, Le'an Yu Journal of System Simulation    2023, 35 (8): 1669-1680.   DOI: 10.16182/j.issn1004731x.joss.22-0485 Abstract （582）   HTML （42）    PDF（pc） （1378KB）（327）       Knowledge map    Save 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 （169）   HTML （5）    PDF（pc） （983KB）（306）       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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Modeling and Simulation of Spaceborne, Near-Spaceborne, and Airborne Integrated Collaborative Remote Sensing System Based on DoDAF Lili An, Tian Xia, Wenbin Yang, Xinbo Wu Journal of System Simulation    2023, 35 (5): 936-948.   DOI: 10.16182/j.issn1004731x.joss.21-1341 Abstract （465）   HTML （47）    PDF（pc） （3620KB）（306）       Knowledge map    Save Spaceborne, near-spaceborne, and airborne integrated collaborative remote sensing system (SNA-ICRSS) makes comprehensive use of modern information technology to aggregate multiple and heterogeneous data in spaceborne, near-spaceborne, and airborne domains, so as to realize accurate emergency service and command decision-making. SNA-ICRSS is huge and complex, and there is a lack of research on its architecture modeling and simulation. According to the architecture characteristics of the SNA-ICRSS, the minimum prototype of the SNA-ICRSS is constructed; through the department of defense architecture framework (DoDAF) and activity based methodology (ABM) methods, the minimal prototype of the SNA-ICRSS is modeled, and the operational resource flow, information interaction mode, functional structure division, and system interface representation of the SNA-ICRSS are analyzed. In addition, the specific application of the SNA-ICRSS under emergency information support mode and conventional remote sensing observation mode is discussed. The verification test results show that the model is reasonably constructed and can lay a foundation for integrated simulation and efficiency evaluation of the SNA-ICRSS. In addition, the model can provide a reference for the research and optimization design of the SNA-ICRSS. Table and Figures | Reference | Related Articles | Metrics

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Energy Management Strategy of Multi-agent Microgrid Based on Q-learning Algorithm Miaomiao Ma, Lipeng Dong, Xiangjie Liu Journal of System Simulation    2023, 35 (7): 1487-1496.   DOI: 10.16182/j.issn1004731x.joss.22-0378 Abstract （500）   HTML （33）    PDF（pc） （1500KB）（300）       Knowledge map    Save This paper proposes a multi-agent microgrid energy management method for the energy trading and benefit distribution in the microgrid power market based on the Q-learning algorithm. Based on the electricity market, microgrid system and transaction process are constructed to clarify the responsibilities of each unit. The mathematical models of distributed power generations are established by considering the changes in wind speed, light intensity and ambient temperature, as well as the upper and lower limit constraints of the output power of each power generation unit. On this basis, the distributed power generations and user loads are regarded as agents, and the Markov decision-making process is designed based on the Q-learning algorithm. Aiming at maximizing the benefits of distributed power generations and minimizing the costs of user loads, a microgrid energy management scheme based on Q-learning algorithm is proposed. The results show that the proposed method can not only increase the benefits of distributed power generations but also reduce the costs of user loads in different scenarios. Table and Figures | Reference | Related Articles | Metrics

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AR-assisted Sign Language Letter Recognition Method Based on Improved MobileNet Network Chunhong Liu, Song Wang, Fupan Wang, Wensheng Tang, Yunqiang Pei, Dongsheng Tian, Yadong Wu Journal of System Simulation    2023, 35 (6): 1308-1321.   DOI: 10.16182/j.issn1004731x.joss.22-0216 Abstract （172）   HTML （8）    PDF（pc） （3469KB）（293）       Knowledge map    Save An AR-assisted sign language letter recognition algorithm MS-MobileNet is proposed for the problems of sign language gestures needing to be standardized and low recognition rate. A multi-scale convolution module is designed to extract the low-level features and enhance the feature extraction ability. ELU activation function is used to retain the negative feature information, which combined with a lightweight MobileNet model for the web to improve the recognition accuracy and real-time performance for mobile AR applications. Test results show that compared with the original model, the recognition accuracy of MS-MobileNet on the datasets ASL-M, NUS-II and Creative Senz3D is improved by 2.58%, 5.32% and 3.04%, respectively. Based on improved network, a WebAR-assisted sign language collaborative interaction system is designed. After the evaluation test, the average user participation rate reached 8.2 points, and the single recognition time is less than 0.115 s. User's needs for immersive real-time sign language letter interaction is better met. Table and Figures | Reference | Related Articles | Metrics

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Dynamic Simulation of Urban Agglomeration Passenger Transport Network Vulnerability Based on Multi-agent Chengbing Li, Yunfei Li, Peng Wu Journal of System Simulation    2023, 35 (6): 1183-1190.   DOI: 10.16182/j.issn1004731x.joss.22-0200 Abstract （550）   HTML （50）    PDF（pc） （2266KB）（289）       Knowledge map    Save Research on vulnerability of comprehensive passenger transportation network in urban agglomerations helps to ensure the transportation efficiency of intercity travel. A comprehensive passenger transport network model of urban agglomeration is built based on multi-layer complex network theory. Urban transportation transfer factors are considered, actual passenger flow is used to calibrate the station load and capacity and a dynamic model of network cascading failure is constructed. Multi-agents are used to simulate the actual passenger flow, Dijkstra algorithm is used to find the shortest path, and two time-dimensional vulnerability evaluation indicators are proposed. MATLAB is used to carry out the dynamic simulation of Hubao-Eyu urban agglomeration. The results show that most train stations have obvious range and time, impact on the network after being attacked, but the duration is not significantly different from the bus stations. The impact on the network of different sites being attacked has no obvious relationship with the duration. Table and Figures | Reference | Related Articles | Metrics

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Research on Modeling and Optimization Method of Torpedo Anti-jamming Attack Based on Game Confrontation Liqiang Guo, Liang Ma, Hui Zhang, Jing Yang, Xueman Fan, Zhuo Cheng Journal of System Simulation    2023, 35 (8): 1814-1823.   DOI: 10.16182/j.issn1004731x.joss.22-0458 Abstract （205）   HTML （15）    PDF（pc） （2291KB）（278）       Knowledge map    Save Table and Figures | Reference | Related Articles | Metrics