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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
    Abstract2886)      PDF(pc) (1792KB)(7092)       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.
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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
    Abstract4424)      PDF(pc) (478KB)(5252)       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.
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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
    Abstract2775)      PDF(pc) (2942KB)(5091)       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.
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    Kernel Block Diagonal Representation Subspace Clustering and Its Convergence Analysis
    Liu Maoshan, Ji Zhicheng, Wang Yan, Wang Jianfeng
    Journal of System Simulation    2021, 33 (11): 2533-2544.   DOI: 10.16182/j.issn1004731x.joss.21-0950
    Abstract4083)      PDF(pc) (686KB)(4731)       Save
    Focus on the problems that the linear block diagonal representation subspace clustering cannot effectively handle non-linear visual data, and the regular regularizers cannot directly pursue the k-block diagonal matrix, a kernel block diagonal representation subspace clustering is proposed. In the proposed algorithm, the original input space is mapped into the kernel Hilbert space which is linearly separable, and the spectral clustering is performed in the feature space. The convergence analysis is given, and the strong convex of variables and the boundedness of function is utilized to verify the monotonically decreasing of objective function and the boundedness and convergence of the affinity matrix, which breaks through the difficulty of convergence proof. Compared with other algorithms such as the kernel sparse subspace clustering and the block diagonal representation algorithm tested, the algorithm has achieved the lower clustering error and higher normalized mutual information on Extended Yale B, ORL and MVtec ITODD.
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    Modeling and Simulation of Crowd Multi-perception Behavior Model in Closed Public Places
    Ma Jun, Hu Jun
    Journal of System Simulation    2021, 33 (10): 2289-2297.   DOI: 10.16182/j.issn1004731x.joss.21-0757
    Abstract4555)      PDF(pc) (2830KB)(4594)       Save
    The social forces-based multi-agent modeling method is used to build the crowd simulation models in most of the existing crowd behavior simulation software systems. From the perspective of cognitive psychology, combined with the spatial logic model of the generalized influence of the crowd obtained by the author’s previous research, and based on the sigmoid function, the mathematical model of the individual visual and auditory perception of the crowd is constructed. Taking the typical subway transfer hall as an example, the objective function of large passenger volume evacuation optimization is established to construct the crowd evacuation simulation model. The simulation results based on the defined scenarios show that the proposed multi-perception behavior model is effective.
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    An Evolutionary Multi-Objective Simulation Optimization Algorithm for Supply Chain with Uncertain Demands
    Wang Hongfeng, Zhang Yitian, Chen Jingze
    Journal of System Simulation    2021, 33 (12): 2761-2770.   DOI: 10.16182/j.issn1004731x.joss.21-0837
    Abstract4600)      PDF(pc) (637KB)(4506)       Save
    During the COVID-19 pandemic, supply chain of manufacturing companies is facing more severe product demand uncertainty, which is manifested in the sharp increase in demand for certain types of products and the increased fluctuations in supply for raw materials. For this supply chain optimization problem with demand uncertainty, a multi-objective stochastic programming model is developed in order to maximize the total profit and product order fulfillment rate simultaneously in this paper. For solving the investigated problem, a new evolutionary multi-objective simulation optimization algorithm is proposed by combining the mechanism of NSGA-II and simulation computing budget allocation adaptively. Experimental results show the validity of the presented model and algorithm.
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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
    Abstract3935)      PDF(pc) (1665KB)(4319)       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.
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    High Performance Simulation Method and Test Platform for Full Envelop of Flight Vehicle
    Wang Jianlin, Chen Sufang, Tie Ming, Liu Jing, Zhang Jun
    Journal of System Simulation    2021, 33 (10): 2298-2306.   DOI: 10.16182/j.issn1004731x.joss.21-0625
    Abstract3690)      PDF(pc) (1102KB)(4026)       Save
    In order to meet the needs of the overall performance simulation and verification of the vehicle with large subsamples and massive states, a high-performance simulation method is proposed, in which a parallel simulation architecture based on high-performance computers is established, the technologies and software such as decoupling of simulation tasks, real-time monitoring of simulation, concurrent conflict control and automatic aggregation of large-scale test results are realized, and a test platform for the large-scale parallel verification of flight performance is developed. Simulation results show that the method has high acceleration ratio and scalability, and can complete the verification efficiently, which not only improves the overall verification and evaluation capability of the vehicle, but also promotes the improvement of the vehicle design.
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    Research on Supply Chain Recovery Strategy under Disruption Risks
    Yang Yi, Peng Chen, Yang Yujiu, Wang Yulong
    Journal of System Simulation    2021, 33 (12): 2771-2781.   DOI: 10.16182/j.issn1004731x.joss.21-0825
    Abstract3932)      PDF(pc) (1266KB)(3857)       Save
    Aiming at supply chain disruptions, two effective supply chain recovery strategies are proposed, namely, a supplier’s preset emergency inventory strategy and a manufacturer’s product change strategy, meanwhile, emergency inventory storage cost and products return rate after change are also taken into consideration. In order to maximize the manufacturer’s profit and customer satisfaction, a single-objective model and a bi-objective model are established, respectively. The optimization problems in the two models are transformed into mixed integer programming problems, moreover, corresponding solution algorithms are presented based on ILOG CPLEX. The simulation results show that the disruption recovery strategies proposed can not only help suppliers to reduce losses effectively, but also meet the market demands well.
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    A Survey of Edge Computing Resource Allocation and Task Scheduling Optimization
    Wang Ling, Wu Chuge, Fan Wenhui
    Journal of System Simulation    2021, 33 (3): 509-520.   DOI: 10.16182/j.issn1004731x.joss.20-0584
    Abstract4262)      PDF(pc) (3039KB)(3569)       Save
    With the rapid development of Internet of Things (IoT) and mobile terminals, the concept of edge computing arises. By moving the computation and storage capacity to the edge of network, edge computing is able to deal with a large amount of data produced by IoT devices and the responsive request from IoT application. To improve the utility of edge resource, the quality of service and quality of user experience, resource allocation and task scheduling optimization problems under edge computing attract wide attention. It becomes more difficult due to the geographic separated and heterogeneous features of edge computing resource as well as the requirements of performance, energy consumption, cost and stability and introduces the system models of edge computing, IoT and cloud computing, presents the optimization metrics, scheduling models and solution optimization, including exact algorithms, heuristic methods and intelligent optimization algorithms. In addition, typical application cases, and points out the further research contents and directions are provided to promote the development of edge computing.
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    Research on Simulation and Optimization of Maintenance Support Mode and Human Resources Auocation for Complex Equipment
    Cao Junhai, Guo Yiming, Zhang Chuang, Guo Qingyi
    Journal of System Simulation    2021, 33 (10): 2307-2314.   DOI: 10.16182/j.issn1004731x.joss.21-0807
    Abstract3708)      PDF(pc) (1515KB)(3264)       Save
    Aiming at the single maintenance support mode of the army’s complex equipment and the strong randomness of human resource allocation, the military-level equipment maintenance process is taken as the research object, the complex equipment maintenance plan, maintenance support mode, human resource configuration, and maintenance process flow are analyzed. The simulation model of a complex equipment maintenance workshop is constructed, the influence of maintenance plans, maintenance support modes, and human resource allocation on indicators of “maintenance support time” and “human resource satisfaction rate” is explored, the internal laws is analyzed and the manpower optimal allocation for the maintenance of military equipment is suggested. The new thinking about the selection of military equipment maintenance support mode and the allocation of maintenance human resources is provided.
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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
    Abstract2306)      PDF(pc) (4779KB)(3188)       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.
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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.  
    Abstract831)      PDF(pc) (625KB)(2749)       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.
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    Cited: Baidu(5)
    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
    Abstract3523)      PDF(pc) (191KB)(2638)       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.
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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
    Abstract1366)      PDF(pc) (933KB)(2509)       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.
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    Unmanned Air Vehicles Launching Aircraft Combat System and Key Technologies for Penetrating Counterair
    Minghao Li, Wenhao Bi, An Zhang, Wenxuan Sun
    Journal of System Simulation    2022, 34 (9): 1920-1932.   DOI: 10.16182/j.issn1004731x.joss.21-0403
    Abstract2299)   HTML652)    PDF(pc) (1197KB)(2486)       Save

    Penetrating counterair is an important countermeasure to the anti-access/area denial environment. Under this operational requirement, the unmanned air vehicles launching aircraft (UAVLA)has received much attention due to the advantages of load quantity and variety, operational range and duration, and development time and cost. Based on the review of the concept development and supporting research related to the UAVLA, the top-level concepts of operations such as the component systems,operational process, operational events tracking, and information interaction of the UAVLA combat system (UAVLACS) are designed. The key technologies of the system are prospected from four aspects:intelligent cognition of battlefield situation under complex environment, trusted and reliable long-range resilient communication, multi-UAVs bionic autonomous decision making and coordination, and universal UAVs launch control in the cargo bay, to promote the development of UAVLACS and technology reserve,and provide a theoretical basis and modeling framework for the simulation and evaluation of UAVLACS operation process and functions.

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    Vehicle Routing Optimization Model of Cold Chain Logistics Based on Stochastic Demand
    Ma Xiangguo, Liu Tongjuan, Yang Pingzhe, Jiang Rongfen
    Journal of System Simulation    2016, 28 (8): 1824-1833.  
    Abstract687)      PDF(pc) (358KB)(2476)       Save
    The costs of vehicle distribution in the process of cold chain logistics is analyzed and amended; A mathematical model with mixing time window is built to balance the customers' service request with importance level; To minimize the total cost, a mathematical model which uses a factor to make balance between the stability of customer demand fluctuation and the cost increase in the assignment phase is established. Based on MATLAB software, the optical solution is found with adaptive genetic algorithm by taking the background of a distribution center to simulate and analyze.
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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
    Abstract3519)      PDF(pc) (1857KB)(2469)       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.
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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
    Abstract1214)      PDF(pc) (1191KB)(2422)       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.
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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
    Abstract2431)      PDF(pc) (5187KB)(2334)       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.
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    Mathematical Model of Maneuvering Motion and Virtual Simulation for Ultra Large Twin-propeller Twin-rudder Ship
    Guo Chen, Yan Lifei, Shen Haiqing
    Journal of System Simulation    2015, 27 (9): 1976-1982.  
    Abstract660)      PDF(pc) (1031KB)(2334)       Save
    A three-degree freedom mathematical model of maneuvering motion for an ultra-large type container ship with twin-propeller twin-rudder is established, with turning circle test and zig-zig test simulation results to verify it. By abstracting the ship maneuvering process, the three-dimensional model of ship, helm, propeller and rudder are modeled according to virtual reality technology, and then the ship posture and the dynamic process of ship maneuvering are displayed by the virtual scene and the responsive three-dimensional model. A virtual simulation system for the maneuvering of ultra large twin-propeller twin-rudder ship is established by the MFC framework and the Vega API. The functions including scenes switching, environment switching, maneuvering switching and viewpoint switching are completed in the virtual simulation system. The system also could be used as a platform for simulation verification of ship maneuvering control strategy and optimization of control algorithm.
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    Cited: Baidu(1)
    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
    Abstract1309)      PDF(pc) (1181KB)(2292)       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.
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    Three-dimensional Virtual Reassembling for Broken Artifact Fragments Based on Leap Motion
    Lu Haoran, Zhang Yu, Niu Miaomiao, Shui Wuyang, Zhou Mingquan
    Journal of System Simulation    2015, 27 (12): 3006-3011.  
    Abstract562)      PDF(pc) (1329KB)(2283)       Save
    3D laser scanning technique has been widely used to acquire geometry information of artifacts. The broken relics can be virtually restored with the help of computer technologies. Aiming at solving the problems of the automatic virtual restoration for broken artifact fragments, a new method of semi-automatic reassembly was proposed. The motions of the user’s hands were simulated by using the data captured by Leap Motion. The movement of each fragment model was controlled interactively so that two fragments could be roughly matched. The matching results were fed back to the user in real-time, and the user could optimize the matching by controlling the positions of the fragments. The iterative closest point algorithm was adopted to realize the fine matching for rough matching result. The fine matching results were considered as a new piece, and the above steps were iteratively performed multiple fragments matching and reassembly. The experiments illustrate that the method can overcome the problem of the high dependency for automatic matching and neighbor fragments can be matched using the approach.
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    Cited: Baidu(2)
    Simulation Analysis of Load Characteristic of Thin Seam Shearer Drum
    Zhao Lijuan, Tian Zhen, Liu Xunan, Xie Bo
    Journal of System Simulation    2015, 27 (12): 3102-3108.  
    Abstract454)      PDF(pc) (671KB)(2219)       Save
    In order to analysis the load characteristics of thin seam shearer drum under complex geological conditions, the determination conditions of tooth working state were proposed, the drum load calculation scheme was designed according to the condition of coal seam and the working state of shearer. A thin seam shearer drum as the object of research, the load spectrums of drum under five typical working conditions were calculated, the law of cutting resistance moment and cutting power with different drum revolution speed and haulage speed was analyzed. The results show that: the load fluctuation from cutting hard inclusions is significantly higher than other four conditions. Variation range of load torque respect to the change of haulage speed diminishes with the increase of drum revolution speed, cutting power along the drum revolution speed and haulage speed increases rising in both directions.
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    Cited: Baidu(10)
    Fault Spatial-temporal Detecting and Diagnosis for Power Grid Based on Wavelet Analysis
    Li Gang, Xu Pengcheng, Han Longmei
    Journal of System Simulation    2015, 27 (12): 3018-3024.  
    Abstract616)      PDF(pc) (441KB)(2209)       Save
    The monitoring data of modern power system have strong intrinsic relationship and its abnormal and fault signal is often hidden in big data sets, so the traditional Fourier transform analysis methods don't have the ability of time domain localization analysis. A new method based on time-frequency characteristics of wavelet analysis was proposed for singularity detection of transient signals in power system, which through decomposing the multi-scale one-dimensional transient signal wavelet, extracted high frequency and low frequency coefficient, and got fault time information while the signal de-noising; then based on the singularity detection of modulus maxima, the fault location information was obtained, so as to realize the temporal-spatial detection and diagnosis of abnormal signal of power system. By means of the simulation analysis in IEEE 39 bus system, the results show that the proposed method realizes the singular signal time-frequency characteristics of sorting, and initially satisfies the requirement of fault spatial-temporal positioning.
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    Knowledge Representation Method of Joint Operation Situation Based on Knowledge Graph
    Wang Baokui, Wu Lin, Hu Xiaofeng, He Xiaoyuan
    Journal of System Simulation    2019, 31 (11): 2228-2237.   DOI: 10.16182/j.issn1004731x.joss.19-FZ0304
    Abstract1116)      PDF(pc) (555KB)(2207)       Save
    Lacking of common knowledge for understanding and judging complex situation of operation by machines is one of the difficulties in intelligent situation cognition. The knowledge representation methods based on knowledge graph are reviewed. The characteristics and difficulties of joint operation situation knowledge representation are analyzed. Moreover, the concept of scenario knowledge graph is presented, as well as the knowledge sources and basic content of scenario knowledge graph are described. This paper also points out that the joint knowledge representation method based on discrete symbols and continuous vectors in specific scenario is an effective way to express joint operation situation knowledge.
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    Improved APIT Localization Algorithm Based on Wireless Sensor Network
    Wu Dong, Ji Zhicheng, Zhang Biao
    Journal of System Simulation    2015, 27 (12): 2965-2972.  
    Abstract564)      PDF(pc) (519KB)(2154)       Save
    To address the problems of Approximate Point-In-Triangulation Test (APIT) algorithm in Wireless Sensor Network requiring high anchor node density, Out-To-In or In-To-Out error judgment, nodes failure and so on, an improved APIT localization algorithm based on Wireless Sensor Network was proposed. The method based on directional searched node and combined with RSSI ranging calculation by Gaussian fitting method was used to deal with error judgment. Besides, a geometrical method was used to process the failure nodes. The simulation results show that the improved localization algorithm performs greatly better, both in positioning accuracy and number of error judgment, than the traditional APIT localization algorithm and the modified localization algorithm of APIT based on mobile anchor node.
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    Cited: Baidu(5)
    Research on the Formalization Description method of Manufacturing Capability Service in Cloud Manufacturing
    Xiao Yingying, Li Bohu, Chai Xudong, Gong Jing
    Journal of System Simulation    2015, 27 (9): 2096-2107.  
    Abstract607)      PDF(pc) (565KB)(2147)       Save
    According to the application demand of manufacturing capability service (MCs) in cloud manufacturing system, MCs' formalization description method was focused on. Based on the connotation analysis of MC, the definition and the classification framework of MC were given. Meanwhile, a meta-model of MCs and its attribution details, as well as a EVA (entity-value- attribute)- based persistence method was proposed to realize the formulization of heterogeneous MCs. The primary research and application in the cloud manufacturing system (TianzhiNet) show that the formalization description method of MCs is feasible. Finally, the future works are given.
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    Cited: Baidu(7)
    A Survey on Visual SLAM based on Deep Learning
    Liu Ruijun, Wang Xiangshang, Zhang Chen, Zhang Bohua
    Journal of System Simulation    2020, 32 (7): 1244-1256.   DOI: 10.16182/j.issn1004731x.joss.19-VR0466
    Abstract1246)      PDF(pc) (3177KB)(2117)       Save
    Following the development of computer vision and robotics, visual Simultaneous Localization and Mapping becomes a research focus in the field of unmanned systems. The powerful advantages of deep learning in the image processing offer a huge opportunity to the wide combination of the two fields. The outstanding research achievements of deep learning combined with visual odometry, loop closure detection and semantic Simultaneous Localization and Mapping are summarized. A comparison between the traditional algorithm and method based on deep learning is carried out. The development direction of visual Simultaneous Localization and Mapping based on deep learning is forecasted.
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    Thinking on Digital Twin for Weapon System
    Zhou Junhua, Xue Junjie, Li Heyu, Ji Hang, Lin Tingyu, Shi Guoqiang
    Journal of System Simulation    2020, 32 (4): 539-552.   DOI: 10.16182/j.issn1004731x.joss.20-0089
    Abstract1215)      PDF(pc) (3246KB)(2111)       Save
    The main development process of the digital twin technology is reviewed and its necessity for the weapon system is put forward. The definition and composition of the digital twin for the weapon system is given and its application architecture and key technologies, such as the construction of the digital thread, bi-directional collaborative simulation and control, intelligent autonomous evolution, digital twin operation support based on the container-simulation-cloud, et al, are analyzed. The preliminary research and practice of some key technologies is expounded, and the future research directions are summarized and looked forward to.
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    Visual Simulation of Aircraft Approach and Landing System Based on Beidou
    Liu Ruihua, Cao Hui
    Journal of System Simulation    2018, 30 (10): 3753-3760.   DOI: 10.16182/j.issn1004731x.joss.201810020
    Abstract344)      PDF(pc) (3872KB)(1974)       Save
    In order to analyze the navigation performance of Ground-Based Augmentation System (GBAS) based on Beidou satellite navigation system (BDS) in approach and landing phase, segments of ground, airborne and space were simulated as GBAS. The broadcast ephemeris data was processed by MATLAB to simulate the BDS constellation and the orbit operation. Based on the minimum operational standards for GBAS released by RTCA, the data model of ground segment and airborne segment were established, and the enhancement algorithm was simulated to analyze the positioning error and navigation performance of BDS. Simulink kinematic and control models were developed to simulate the attitude of aircraft. FlightGear I/O interface was studied to realize the joint simulation with MATLAB, and visual simulation platform of aircraft approach and landing system for BDS was built by the joint simulation.
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    Overview of CGF-oriented Cognitive Architecture
    Xu Kai, Zeng Junjie, Yang Weilong, Qin Long, Yin Quanjun
    Journal of System Simulation    2021, 33 (2): 239-248.   DOI: 10.16182/j.issn1004731x.joss.20-0937
    Abstract1354)      PDF(pc) (527KB)(1912)       Save
    In order to further formalize and boost standardized behavioral model development of Computer Generated Forces (CGF), the CGF-oriented cognitive architecture is reviewed and the implementation details of one of the CGF cognitive behaviors, i.e. plan recognition, upon standard cognitive architecture are designed. The results show that the well-designed architecture has a strong support for complex behavior modeling. Four specific suggestions, including requirement analysis, design implementation, theoretical principle and cooperation mechanism, for architecture design and complex behavior modeling are provided.
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    Study on Next-generation Strategic Wargame System
    Wu Xi, Meng Xianglin, Yang Jingyu
    Journal of System Simulation    2021, 33 (9): 2017-2024.   DOI: 10.16182/j.issn1004731x.joss.21-0731
    Abstract3364)      PDF(pc) (593KB)(1886)       Save
    Strategic wargame is an important support to the strategic decision. The research status and challenges of the strategic wargame are analyzed, and the influence of big data and artificial intelligence technology on the strategic wargame system is studied. The prospects and key technologies of the next-generation strategic wargame system are studied, including the construction of event association graph for strategic topics, generation of strategic decision sparse samples based on generative adversarial nets, gaming strategy learning of human-in-loop hybrid enhancement, and public opinion dissemination modeling technology based on social network. The development trend of the strategic wargame is proposed.
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    New Embedded Simulation Technology for Smart Internet of Things
    Bohu Li, Xudong Chai, Lin Zhang, Duzheng Qing, Guoqiang Shi, Tingyu Lin, Liqin Guo, Chen Yang, Mu Gu, Zhengxuan Jia, Hui Gong, Zhen Tang
    Journal of System Simulation    2022, 34 (3): 419-441.   DOI: 10.16182/j.issn1004731x.joss.22-0119
    Abstract12798)   HTML10595)    PDF(pc) (9566KB)(1878)       Save

    Human society in the new development era and journey is facing the new situation. The operation paradigm, technology and ecosystem of industries related to the national economy and people's livelihood、national security are changing significantly towards the digital, networked, cloud-based and intelligent "Smart Internet of Things". The new embedded simulation technology, with the capabilities of online and continuous analysis, cognition, learning, decision-making, operation and optimization,is urgently needed for the development of "Smart Internet of Things". "Smart Internet of Things" is briefly introduced and the connotation, characteristics and application mode of the new embedded simulation technology are proposed and its architecture, technical system and nine key technologies are systematically discussed. The application examples on the industries of intelligent manufacturing, smart city and military intelligence are introduced. The achievements are summarized and the development suggestions are proposed.

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    Research on the Issues of Next Generation Wargame System Model Engine
    Tang Yubo, Shen Bilong, Shi Lei, Yi Xing
    Journal of System Simulation    2021, 33 (9): 2025-2036.   DOI: 10.16182/j.issn1004731x.joss.21-0735
    Abstract2603)      PDF(pc) (1724KB)(1849)       Save
    Aiming at the more and more complex war systems, widely used artificial intelligence technology is needed to make up the human deficiencies in future wargame deduction, which is necessary for the next generation wargame system model engine. To address these challenges, a framework prototype of the next generation wargame model engine based on the experience of the long-term development and application is proposed. The decoupling method for the complexity of structure and computation is researched. The human-computer integration architecture on digital twinning technology is studied. Some new modeling techniques which the threshold of model development is reduced and the efficiency is improved are explored. The engine mechanism is provided to support the machine learning, and to achieve the integrated design for distributed hardware environment.
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    Modeling Research of Cognition Behavior for Intelligent Wargaming
    He Xiaoyuan, Guo Shengming, Wu Lin, Li Dong, Xu Xiao, Li Li
    Journal of System Simulation    2021, 33 (9): 2037-2047.   DOI: 10.16182/j.issn1004731x.joss.21-0727
    Abstract2598)      PDF(pc) (4559KB)(1786)       Save
    Aiming at the problem of cognitive behavior modeling in the construction and application of intelligent wargaming system, one modeling framework based on Actor-Operations-Scene (AOS) was proposed for C2 agent in wargaming. Then the realization of cognitive behavior modeling method for C2 agent was explored, including the modeling for the scenario oriented knowledge graph, intelligent situation awareness, operational planning, integrated operational control. It provides a feasible scheme for the construction and application of intelligent wargaming system.
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    Research and Implementation of a High Performance Distributed Object-oriented Simulation Engine
    Huang Xiaodong, Xie Kongshu
    Journal of System Simulation    2021, 33 (9): 2215-2226.   DOI: 10.16182/j.issn1004731x.joss.21-0228
    Abstract1490)      PDF(pc) (967KB)(1696)       Save
    Simulation engine is the core of simulation platform and the operating system of simulation field. On the basis of the reflection-based object-oriented simulation modeling framework and programing specification, aiming at the developing integration and operation requirements for the large-scale multi-granularity computation intensive simulation system, a High-performance Distributed Object-oriented Simulation Engine (HDOSE) is developed. Combined with the brief review of HDOSE development, on the basis of expounding the HDOSE function services and architecture, the key technology, large-scale multi-granularity parallel computation, programming model and interface, parameterized componentized modeling and so on are mainly introduced. The HDOSE typical application cases and performance test cases are provided. The application results show that HDOSE has good performance and extendibility, and can rapidly help to construct the computation and interaction intensive complex application systems.
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    Intelligent Effectiveness Evaluation and Optimization on Weapon System of Systems Based on Deep Learning
    Li Ni, Li Yuhong, Gong Guanghong, Huang Xiaodong
    Journal of System Simulation    2020, 32 (8): 1425-1435.   DOI: 10.16182/j.issn1004731x.joss.20-0353
    Abstract1150)      PDF(pc) (1120KB)(1667)       Save
    In the process of conventional WSoS (Weapon System of Systems) operational effectiveness evaluation, multiple complex steps including reconfiguring the scenario, rerunning the WSoS simulation system, and conducting effectiveness evaluation model calculations are taken. For the problems of conventional effectiveness evaluation method, such as the complex process and time-consuming, the intelligent evaluation method of WSoS combat effectiveness based on machine learning regression is proposed, and the optimization process of combat effectiveness based on evolutionary strategy is introduced. Taking the full connection depth regression network as the prediction model, the guiding selection principles of network hidden layer number and sample size are given on the basis of the test results of multiple data sets. The optimal output is obtained by the genetic algorithm to adjust the network input, and the high iterative performance is got. Case study of a simulation system preliminarily verifies the effectiveness and value of the prediction model and the optimization method.
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    Challenges and Reflection on Next-generation Large-scale Computer Wargame System
    Si Guangya, Wang Yanzheng
    Journal of System Simulation    2021, 33 (9): 2010-2016.   DOI: 10.16182/j.issn1004731x.joss.21-0729
    Abstract2445)      PDF(pc) (843KB)(1656)       Save
    In view of the systematic, networked and intelligent characteristics of the future war, the major challenges of the new generation of large computer warfare system are proposed, and the next-generation large-scale computer wargame system is constructed. The key technologies of building a new generation of large computer warfare systems, such as intelligent war modeling, architecture integration, resource service management and human-computer interaction are researched.
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    Review on Ecological Construction of Domestic High-performance Parallel Application Software in Post Moore Era
    Chunye Gong, Jie Liu, Weimin Bao, Dongmei Pan, Xinbiao Gan, Shengguo Li, Xuguang Chen, Tiaojie Xiao, Bo Yang, Ruibo Wang
    Journal of System Simulation    2022, 34 (10): 2107-2118.   DOI: 10.16182/j.issn1004731x.joss.21-1365
    Abstract1489)   HTML725)    PDF(pc) (2724KB)(1624)       Save

    Domestic high performance computing (HPC) system is world-leading and the system chip architectures are in varied forms. The system operation relied on National Supercomputing Center has a good development trend. Several technical key points of domestic high-performance parallel application software are word-leading and the application supporting environment is developing fast. But industrial software and team building are facing huge challenges. In post Moore era, based on the progress of human civilization, it is necessary to promote the ecological development of parallel application software, and from the viewpoint of software products the industrial software must be aim foreign commercial software at all aspects. The application software cloud, the collaborative optimization of software, hardware and the domain-oriented custom chip architecture and compiler should be concerned. The open source mode, protecting intellectual property right and expert evaluation should be kept pace with the times to ensure the prosperity of the application software ecology.

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