Yard Layout Optimization For General Cargo Terminal,
2021
1. School of Mechanical Automation, Wuhan University of Science and Technology, Wuhan 430081, China; ;
Yard Layout Optimization For General Cargo Terminal, Zhixiong Liu, Dong Yu, Chunjun Zhang
Journal of System Simulation
Abstract: Yard layout is an important component of the port yard allocation decision which affects the cargo storage capacity and through capacity for the port yard. As to the general cargo yard, combined with the cargo type and the yard storage strategy, the yard layout optimization model for the general cargo terminal is presented based on the statistical analysis for the production data when the optimization aim is minimizing the total horizontal transport distance of the trailer. The yard layout optimization results are employed by the mathematical tool Gurobi for different storage strategies, and the yard layout optimization results are …
Approximate Method Of Spares Demand Prediction For Weibull Distribution Items Based On Piecewise Function,
2021
1. College of Naval Architecture and Ocean Engineering, Naval University of Engineering, Wuhan 430033, China; ;
Approximate Method Of Spares Demand Prediction For Weibull Distribution Items Based On Piecewise Function, Songshi Shao, Zhihua Zhang, Xiaojie Mo
Journal of System Simulation
Abstract: Demand prediction model for spare parts with Weibull distribution involves multiple infinite series, therefore, spares demand calculation is a difficult issue. The approximate calculation method generally used is often subject to large errors. According to the principle of renewal function, the approximated demand calculation method for spares of Weibull distribution using piecewise function to approximate the renewal function is proposed. It effectively avoids the issue of computational complexity for spares demand prediction. Theoretical analysis shows that the proposed approximated algorithm ensures the calculation result of spares demand is less than that of engineering approximation algorithm. According to the given …
Research On Description Specification Of Extensible Simulation Scenario,
2021
1. Military Exercise and Training Center, Army Academy of Armored Forces, Beijing 100072, China; ;
Research On Description Specification Of Extensible Simulation Scenario, Xiangzhong Xu, Xiong Jun, Fengwei Shen
Journal of System Simulation
Abstract: Simulation scenario description specification is of great significance to speed the Simulation Scenario Data (SSD) preparation, to improve the quality and to promote the reuse of the SSD. An in-depth comparison between simulation scenario and military scenario is made. The composition and application process of military scenario based on the description specification are designed, above which, the design scheme of the description specification is discussed. The extensible military scenario description specification is proposed from the following two aspects, that is, the basic elements including time and coordinate system, and the data interchange format. Series of scenario instances are produced. …
Research On Chemical Simulation Environment Modeling Based On Complex Terrain,
2021
Army Chemical Defense College, Beijing 102205, China;
Research On Chemical Simulation Environment Modeling Based On Complex Terrain, Shunhua Liu, Fang Min
Journal of System Simulation
Abstract: Environment simulation is an important part of the construction of simulation training system. Without considering terrain factors in current chemical simulation environment, there are many problems in directing and controlling, simulation interacting, estimating and evaluating of simulation training. Based on the classical Gaussian diffusion model, the new model is suitable for the complex terrain chemical simulation environment through terrain elevation correction, diffusion parameter correction and mass conservation correction. The simulated chemical hazard area is in line with the atmospheric diffusion law of complex terrain. The model presents a realistic environment and fast computing ability, which solves the problem of …
Pathfinder Algorithm For Green Pipeline Scheduling With Limited Buffers,
2021
Kunming University of Science and Technology, Faculty of Information Engineering and Automation, Kunming 650500, China;
Pathfinder Algorithm For Green Pipeline Scheduling With Limited Buffers, Hu Rong, Yuming Dong, Bin Qian
Journal of System Simulation
Abstract: A Hybrid Pathfinder Algorithm (HPFA) is proposed for solving the green flow shop scheduling problem with limited buffers and energy threshold constraints (GFSSP_LBET). The optimization criteria are to minimize the total energy consumption and the makespan. In order to enhance the global search ability of HPFA, a distance-based selection scheme is designed to determine each pathfinder's followers to ensure that the near regions of any pathfinder can get a certain search. A self-learning search strategy integrating multiple operations is designed to perform multi-neighborhood search on the updated pathfinders, which can improve the local exploitation ability of HPFA. Simulation experiments …
Research On Time Performance Simulation And Analysis Technology Of Aviation Complex Embedded System,
2021
AVIC Chengdu Aircraft Design & Research Institute, Chengdu 610091, China;
Research On Time Performance Simulation And Analysis Technology Of Aviation Complex Embedded System, Lingsha Zheng, Jiang Bing, Zhe Zhao, Zhaoxu Yang
Journal of System Simulation
Abstract: As a core member of an embedded system, the embedded computer's time performance plays a key role in the comprehensive performance of the system's functional performance. However, as the complexity of aviation products continues to increase, traditional system development methods are facing the challenge for verification. In order to improve the accuracy of time performance analysis for the complex embedded system, find the potential hazards in the design of scheduling early, and avoid the system comprehensive stage design iteration caused by the time system defects, the methodology of the construction of the model and the analysis method of the …
Research On Intrusion Detection Based On Stacked Autoencoder And Long-Short Memory,
2021
1. Faculty of Information and Control Engineering, Shenyang Jianzhu University, Shenyang 110168, China; ;
Research On Intrusion Detection Based On Stacked Autoencoder And Long-Short Memory, Lin Shuo, An Lei, Zhijun Gao, Shan Dan, Wenli Shang
Journal of System Simulation
Abstract: As network attacks increasingly hidden, intelligent and complex. Simple machine learning cannot deal with attacks timely. A deep learning method based on the combination of SDAE and LSTM is proposed. Firstly, the distribution rules of network data are extracted intelligently layer by layer by SDAE, and the diverse anomaly features of high-dimensional data ate extracted by using coefficient penalty and reconstruction error of each coding layer. Then, LSTM’ s memory function and the powerful learning ability of sequence data are used to classify learning depth. Finally, the experiments are carried out with the UNSW-NB15 data set, which is analyzed …
Virtual Training System For Spacecraft Maintenance Based On Desktop Virtual Reality,
2021
State Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;
Virtual Training System For Spacecraft Maintenance Based On Desktop Virtual Reality, Shisong Wei, Zhengdong Zhou, Xuling Zhang, Mao Ling, Junshan Jia, Chuanle Liu
Journal of System Simulation
Abstract: In order to shorten the training period of aerospace maintenance personnel and improve their operation proficiency, a spacecraft maintenance simulation system based on the desktop virtual reality technology is designed and developed. It is superior to the head-mounted display, which is bulky, isolated from the real world, easy to make users dizzy and hard to be shared. The assembly management scheme based on XMind and SqlServer database is proposed to realize the visualization of assembly rule editing, which makes assembly and disassembly flexible and convenient.
Research On The Offset Of Elliptical Quiet Zone In Catr Of Multiple Feed,
2021
1. Unit 92941 of CPLA, Huludao 125000, China; ;
Research On The Offset Of Elliptical Quiet Zone In Catr Of Multiple Feed, Liu Yong, Liwei Guo, Wangyang Song, Jiang Xing, Simin Li, Peng Lin
Journal of System Simulation
Abstract: Electromagnetic target simulator based on CATR of the quiet zone movement,which adopt the multi-feed source CATR RF signal feeding by reflecting to get the quiet zone movement of simulated far field. It can be used in simulation of seekers in a multi-target mobile environment. The phase of the feeds of the 1×4 horn array is changed to realize the movement of the quiet zone in the CATR. The phase consistency of the millimeter wave quiet zone of the target simulation system determines the target simulation accuracy. The amplitude and phase characteristics of the array feeding with different beam …
Energy Management Of Marine Current Power Generation System Based On Fuzzy Logical Control,
2021
Institute of Electrical Drive and Control, Shanghai Maritime University, Shanghai 201306, China;
Energy Management Of Marine Current Power Generation System Based On Fuzzy Logical Control, Jingang Han, Li Xu
Journal of System Simulation
Abstract: The fluctuation of marine current velocity leads to the fluctuation of power generation. The hybrid energy storage system composed of vanadium redox flow battery and super capacitor is used to improve the power quality and smooth the marine current power generation. With the research and commercialization of large scale power marine current power generation system, the capacity of energy storage system has been increasing. To reduce the rated capacity of super capacitor banks in energy storage system, an energy management strategy based on low-pass filter optimization algorithm of fuzzy control is proposed and the simulation model of 3 MW …
Development Of Semi-Physical Simulation Platform For Monitoring Municipal Solid Waste Incineration Process,
2021
1. School of Artificial Intelligence and Automation, Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China; ;2. Engineering Research Center of Digital Community, Ministry of Education, Beijing 100124, China; ;3. Beijing Laboratory for Urban Mass Transit, Beijing 100124, China;
Development Of Semi-Physical Simulation Platform For Monitoring Municipal Solid Waste Incineration Process, Aijun Yan, Xia Heng, Xizhi Liu
Journal of System Simulation
Abstract: In order to research and test the modeling, control and optimization of MSW (Municipal Solid Waste) incineration process, a semi-physical simulation platform with three-layer structure by combining the physical control system with the virtual object is developed. The physical control system of the platform is composed of an intelligent control optimization layer and basic control layer; and the virtual object layer includes simulated instrument, actuator and incineration process model. The software for man-machine interface with OPC (Object Linking and Embedding (OLE) for Process Control), equipment/parameter monitoring, and incineration process model are developed. The functions of intelligent control optimization layer …
Development Paths Of New Energy Vehicles Incorporating Co2 Emissions Trading Scheme,
2021
1. Business School, University of Shanghai for Science and Technology, Shanghai 200093, China; ;
Development Paths Of New Energy Vehicles Incorporating Co2 Emissions Trading Scheme, Wenxiang Li, Li Ye, Jieshuang Dong, Yiming Li
Journal of System Simulation
Abstract: New energy vehicles in China have entered the “post-subsidy era”, and it is urgent to explore and establish a long-term mechanism for market-oriented development. The CO2 emission trading scheme for road transport (ETS-RT) is introduced to replace financial subsidies, forming a market-oriented incentive and punishment mechanism. Therefore, a market mechanism is established where internal combustion engine vehicles feed new energy vehicles. A causal loop diagram of system dynamics was used to analyze the key policy parameters of the ETS-RT that affect the development of new energy vehicles. Then a multi-agents-based model of ETS-RT is established to simulate the …
Review On Key Technologies Of Industrial Control System Security Simulation,
2021
1. Harbin Institute of Technology at Weihai School of Computer Science and Technology, Weihai 264209, China; ;2. Harbin Institute of Technology Research Institute of Cyberspace Security, Harbin 150001, China; ;
Review On Key Technologies Of Industrial Control System Security Simulation, Bailing Wang, Hongri Liu, Yaofang Zhang, Sicai Lü, Zibo Wang, Qimeng Wang
Journal of System Simulation
Abstract: In order to cope with the increasingly serious industrial internet security problems, simulation is viewed as a critical backboned technology for drilling of network attack and defense, tracking back and analyzing of security incidents, as well as validating of pre-research technology. On the basis of summarizing the studies of three types of typical industrial control system security simulation platform, the key technologies used in industrial control cyber range and industrial control honeynets are highlighted. Technologies are summarized, such as the virtualization technology of industrial control network and industrial control components, the construction technology of industrial control target field dominated …
A Quantitative Validation Of Multi-Modal Image Fusion And Segmentation For Object Detection And Tracking,
2021
California Institute of Technology
A Quantitative Validation Of Multi-Modal Image Fusion And Segmentation For Object Detection And Tracking, Nicholas Lahaye, Michael J. Garay, Brian D. Bue, Hesham El-Askary, Erik Linstead
Mathematics, Physics, and Computer Science Faculty Articles and Research
In previous works, we have shown the efficacy of using Deep Belief Networks, paired with clustering, to identify distinct classes of objects within remotely sensed data via cluster analysis and qualitative analysis of the output data in comparison with reference data. In this paper, we quantitatively validate the methodology against datasets currently being generated and used within the remote sensing community, as well as show the capabilities and benefits of the data fusion methodologies used. The experiments run take the output of our unsupervised fusion and segmentation methodology and map them to various labeled datasets at different levels of global …
Discussing Digital Twin From Of Modeling And Simulation,
2021
1. Beihang University, Beijing 100191, China; ;2. Engineering Research Center of Complex Product Advanced Manufacturing System, Ministry of Education, Beijing 100191, China;
Discussing Digital Twin From Of Modeling And Simulation, Zhang Lin, Lu Han
Journal of System Simulation
Abstract: 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.
Development And Prospect Of Simulation Research In China,
2021
1. College of Systems Engineering, National University of Defense Technology, Changsha 410073, China; ;2. The PLA’s 31002 Unit, Beijing 100094, China;
Development And Prospect Of Simulation Research In China, Xiaogang Qiu, Duan Hong, Xie Xu, Mengna Zhu
Journal of System Simulation
Abstract: It is important to treat modeling and simulation (M&S) as a discipline to advance its development. In China, M&S has been researched and applied over 40 years, and is gradually becoming an independent discipline. Modeling and simulating the complex systems are the challenge, however, this also brings grand opportunity for M&S to widen and improve itself. Since 1980s, the M&S community in China has realized the broad applications of M&S, comprehended M&S from multiple perspectives, conducted extensive research on basic questions, and discussed the composition of the basic simulation theory. By summarizing these achievements, the future works that have …
Multi-View Human Action Recognition Based On Deep Neural Network,
2021
1. Beijing Laboratory of Intelligent Information Technology, Beijing Institute of Technology, Beijing 100081, China; ;2. Teachers College, Beijing Union University, Beijing 100011, China; ;
Multi-View Human Action Recognition Based On Deep Neural Network, Zhao Ying, Lu Yao, Zhang Jian, Qidi Liang, Long Wei
Journal of System Simulation
Abstract: A novel deep neural network named CNN+CA(Convolutional Neural Network plus Context Attention) model is constructed and a new recognition algorithm based on sequence matching is presented to improve the recognition accuracy of MVHAR (Multi-view Human Action Recognition). A CNN(Convolutional Neural Network) is designed to automatically learn multi-view fusion features; the CA (Context Attention) module is introduced to selectively focus on the parts of the features that are relevant for the recognition task; the proposed recognition algorithm based on sequence matching is used to realize MVHAR. The experimental results on the IXMAS dataset and the i3DPost dataset …
Multiple Object Tracking And Kinematic Simulation For Short Track Speed Skating,
2021
1. Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China; ;2. University of Chinese Academy of Sciences, Beijing 100049, China; ;
Multiple Object Tracking And Kinematic Simulation For Short Track Speed Skating, Li Qi, Hanlin Mo, Xiangdong Wang, Li Hua
Journal of System Simulation
Abstract: Aiming at the problem that it is difficult to obtain the motion data of each athlete in the short track speed skating competition, an algorithm flow of multiple object tracking and kinematic simulation is proposed. A local matching metric is proposed to deal with the partial occlusion in monocular video and improve the tracking stability and robustness. The motion simulation method based on homography mapping and derivative of fitted curve is realized to estimate kinematic parameters such as velocity and acceleration. The experiments on Skating Track Multiple ObjectTracking (STMOT) verified the effectiveness and superiority of the proposed methods.
Spatial Knowledge Representation Model Of Simulation Scenario Based On Ontology,
2021
1. College of Command and Control Engineering, Army Engineering University of PLA, Nanjing 210002, China; ;2. 73021 Troops, Hangzhou 315023, China;
Spatial Knowledge Representation Model Of Simulation Scenario Based On Ontology, Zhu Jie, Hongjun Zhang
Journal of System Simulation
Abstract: Military simulation scenario has abundant spatial knowledge and is closely related to various models of combat simulation. In view of the lack of uniform specification for the description of simulation scenario knowledge, it is necessary to construct a spatial knowledge representation model in line with spatial thinking to effectively analyze the spatial entities and their interrelationships in simulation scenario. The ontology method is used to establish spatial knowledge domain ontology and form the formal description specification of spatial knowledge concept; the spatial knowledge structure is described hierarchically by using the method of concept knowledge tree, clarifying the semantic logic …
An Artificial Emotion Model For The Mutual Mapping Between Discrete State And Dimensional Space,
2021
1. Department of Computer Science, School of Engineering, Shantou University, Shantou 515063, China; ;
An Artificial Emotion Model For The Mutual Mapping Between Discrete State And Dimensional Space, Zhihang Tian, Xiaming Chen, Dazhi Jiang
Journal of System Simulation
Abstract: Emotional intelligence is an important component and development direction of machine intelligence. The purpose of artificial emotion model is to construct emotion models for machines to develope systematic ability of emotion understanding and expression. However, the existing methods are still insufficient in artificial emotion modeling ability. Aiming at the key factor of personalization in the construction of artificial emotion model, this paper proposes a method of mutual mapping between discrete emotion state and dimension space state, and constructs a machine personalized artificial emotion model based on Big Five personality model and emotion state transfer model. The relevant experimental results …
