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Flow Visualization Based On Enhanced Streamline Line Integral Convolution, Han Min, Haichao Zhang, Maosong Bian, Danchen Zheng 2020 Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116023;

Flow Visualization Based On Enhanced Streamline Line Integral Convolution, Han Min, Haichao Zhang, Maosong Bian, Danchen Zheng

Journal of System Simulation

Abstract: In order to show the flow information clearly and reduce the calculation of linear integral convolution, an enhanced streamline linear integral convolution algorithm was proposed. The generation of streamlines were improved. Critical points were detected and the points’ area with a gradient fill was generated. Combined two integration methods in different areas, the integration step was updated adaptively. Utilizing the parallelism of GPU and GLSL (OpenGL shading language), the algorithm further improved the sharpness of the output image. Experiments show that the improved linear integral convolution algorithm posses both the speedability and the precision. And the flow visualization of …


Research On Characteristics Of City Agglomeration Compound Traffic Network, Chengbing Li, Wei Lei, Yucheng Hao 2020 School of Transportation, Inner Mongolia University, Hohhot 010070, China;

Research On Characteristics Of City Agglomeration Compound Traffic Network, Chengbing Li, Wei Lei, Yucheng Hao

Journal of System Simulation

Abstract: In order to serve the economic development of city agglomeration, revealing the characteristics of city agglomeration compound traffic network was focused on. The model of city agglomeration compound traffic network was built using the site mapping method based on analysis of the structure of city agglomeration compound traffic network. The characteristics and specific calculation method based on complex network theory were put forward. Compound traffic network of road and rail traffic network was generated through an empirical study of Hu-Bao-E city group, and node degree, node degree distribution, average path length, clustering coefficient of this network be computed …


Global Optimized Photovoltaic Mppt Algorithm Based On Pso And Incremental Conductance Method, Yunjun Yu, Liu Tao, Shisheng Wang, Jianbo Xin, Xiaohua Nie 2020 1. Nanchang University, Nanchang 330031, China;;2. Jiangxi Electric Power Research Institute, Nanchang 330096, China;

Global Optimized Photovoltaic Mppt Algorithm Based On Pso And Incremental Conductance Method, Yunjun Yu, Liu Tao, Shisheng Wang, Jianbo Xin, Xiaohua Nie

Journal of System Simulation

Abstract: The P-V array characteristic curve exhibits a plurality of local maximum power point under conditions of partial shading. The incremental conductance method maybe track an extreme value point that is not the largest power point, thus lead to tracking failure. The PSO algorithm has the characteristics of global optimization, but its tracking precision is deficient. A global MPPT algorithm based on PSO algorithm by incremental conductance method was proposed, PSO algorithm could quickly locate to the approximate global MPP, INC could further precise the MPP. Compared to the traditional incremental conductance method Simulink simulation and the research when …


Viability Control Of Rigid Body Wheeled Robots For High Speed Obstacle Avoidance, Liu Lei, Gao Yan, Yuepeng Wu 2020 1. School of Management, University of Shanghai for Science and Technology, Shanghai 200093, China;;

Viability Control Of Rigid Body Wheeled Robots For High Speed Obstacle Avoidance, Liu Lei, Gao Yan, Yuepeng Wu

Journal of System Simulation

Abstract: The robot is taken as a point during most existing obstacle avoidance control methods for wheeled robot. These methods have limitations in actual situation. When a robot is considered as a rigid body, in order to get high speed performance, the relationship between robot model, contour and obstacle should be considered in detail. An approach to avoiding obstacle with high speed based on viability theory was proposed for wheeled robots. The line features were extracted from the obstacles, and then high dimension viability boundaries were designed via these features, rigid body contours and states of the robot. According to …


Grey Wolf Optimizer For Parameters Identification Of Induction Motor With Improved Model, Xiaoyi Lü, Huang Song, Wang Yan, Zhicheng Ji 2020 Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Jiangnan University, Wuxi 214122, China;

Grey Wolf Optimizer For Parameters Identification Of Induction Motor With Improved Model, Xiaoyi Lü, Huang Song, Wang Yan, Zhicheng Ji

Journal of System Simulation

Abstract: According to the problems of inaccurate parameters estimation of the induction motor in high-performance control, a grey wolf optimizer was used to identify the parameters of the induction motor. Grey wolf optimizer is a new meta-heuristic. It is simple and flexible to implement, and has fewer parameters to tune. Considering that two typical dynamic mathematical models have different identification precision on different parameters, the improved identification model of the induction motor was proposed. Compared with typical model, simulation results show that the proposed model obviously improves the identification performance of resistances especially stator resistance, verifying the validity …


Energy Efficiency Optimization For Discrete Manufacturing Workshop Based On Discrete Teaching-Learning-Based Optimization Algorithm, Junhui Xu, Wang Yan 2020 Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Jiangnan University, Wuxi 214122, China;

Energy Efficiency Optimization For Discrete Manufacturing Workshop Based On Discrete Teaching-Learning-Based Optimization Algorithm, Junhui Xu, Wang Yan

Journal of System Simulation

Abstract: Because the discrete manufacturing workshop is multi-objective and multi-constraint, an energy efficiency optimization model whose optimization objective was to minimize the total energy consumption was built for discrete manufacturing workshop. Besides, an improved teaching-learningbased (TLBO) optimization algorithm for discrete energy efficiency workshop optimization was proposed. This improved algorithm introduced adaptive parameter in training phase to improve the learning efficiency and adaptability of the algorithm. In addition, second discrete process was introduced in the teaching stage and learning stage, respectively. This algorithm could be applied to the optimization of discrete manufacturing workshop under the precondition of ensuring the …


Modeling And Simulation Of Offshore Support Vessel Anchoring Operation, Hongbo Sun, Chaojian Shi, Wenjin Lin 2020 1. Merchant Marine College, Shanghai Maritime University, Shanghai 200135, China;;2. Navigation College, Jimei University, Xiamen 361021, China;;

Modeling And Simulation Of Offshore Support Vessel Anchoring Operation, Hongbo Sun, Chaojian Shi, Wenjin Lin

Journal of System Simulation

Abstract: In order to understand the configurations of mooring line and working wire, tension variation at release point of working wire and the influence of the offshore support vessel during anchoring operation, a mathematical models of OSV anchoring operation was established. According to the MMG (Ship Manoeuvring Mathematical Model Group) ship motion mathematical modeling theory, a 6dof ship motion mathematical model was built. And a 6dof cable motion mathematical model was established with finite difference method. A coupling ship-cable-anchor-cable system model was established. The system motion simulations were carried out, and the results indicate that the model …


Modeling And Simulation Of Boiler Superheated Steam Temperature System Based On System Dynamics, Le Wei, Yuanyuan Yan 2020 1. School of Control and Computer Engineering, North China Electric Power University, Baoding 071003, China;;

Modeling And Simulation Of Boiler Superheated Steam Temperature System Based On System Dynamics, Le Wei, Yuanyuan Yan

Journal of System Simulation

Abstract: Based on the principle of system dynamics, from the perspective of mass and energy conservation, taking the causal loop diagrams and the stock and flow diagrams as the carriers, and starting from the running mechanism of the system, the system dynamics model for the boiler superheated steam temperature system was established. This model has clear structure and reasonable complexity. By using the high temperature super-heater of the 300 MW boiler-turbine unit of Hebei Qingyuan Power Plant as the research object, simulation studies were carried out in Vensim PLE environment. The simulation curves were compared with the curves of …


Modeling And Simulation On Dynamics Of Epidemic Disease Based On Social Division Of Labor, haibin Li 2020 1. Engineering Training Center of Inner Mongolia University of Technology, Hohhot 010051, China; ;

Modeling And Simulation On Dynamics Of Epidemic Disease Based On Social Division Of Labor, Haibin Li

Journal of System Simulation

Abstract: Prediction is an essential part of the epidemic prevention and control system, and it is of great significance to accurately establish a dynamic model of epidemiological evolution. The existing epidemiological modeling methods rarely consider the social division of labor of different groups. The entire group is divided into three subgroups, the ordinary residents, the social service personnel, and the front-line medical workers. Based on the heterogeneous uniform mixing theory, the subgroup adjacency matrix is used to represent the contact relationship between individuals, and a time-lapse dynamic model of epidemic spread and evolution is established. The simulation results show that …


Combining Crf And Deformable Part Model For Pedestrian Detection, Ma Ji, Jingjiao Li, Ma Li, Zhao Yue 2020 1. School of Information Science & Engineering, Northeastern University, Shenyang 110819, China;;2. School of Information, Liaoning University, Shenyang 110036, China;;

Combining Crf And Deformable Part Model For Pedestrian Detection, Ma Ji, Jingjiao Li, Ma Li, Zhao Yue

Journal of System Simulation

Abstract: Pedestrian detection has been widely used in many fields. It is one of the focus in computer vision. The part-based detection method in the pedestrian detection shows excellent performance and has a strong adaptability in posture change of human body. But it is not good for Occlusion problem. When the Discriminative threshold is higher, miss rate is very high. Considering the disadvantage of LSVM method for mining hidden information, a two layers classifier was proposed based on the deformable parts model establishing conditional random field model for Occlusion problem. For learning model parameters, the stochastic gradient descent and …


Planar Structure Reconstruction For Indoor Scenes With Kinectfusion, Chenjianong Cai, Yifei Shi, Xu Kai, Dang Gang 2020 1. National University of Defence Technology, Changsha 410073, China;;2. Visual Computing Center, Shenzhen Institutes of Advanced Technology, Shenzhen 518055, China;

Planar Structure Reconstruction For Indoor Scenes With Kinectfusion, Chenjianong Cai, Yifei Shi, Xu Kai, Dang Gang

Journal of System Simulation

Abstract: Online scanning and reconstruction with KinectFusion has greatly improved real-time reconstruction of indoor scenes with consumer depth camera. However, due to the limitation of depth resolution of current depth cameras, the quality of reconstructed scenes is in general unsatisfactory. This is especially true for planar structures which are commonly seen in indoor scenes and important in defining the major structure of an indoor room. A novel method was proposed for extracting and reconstructing planar structures from point clouds of indoor scenes scanned acquired by KinectFusion.


Simulation Model Of Crowd Following Phenomenon In Emergencies, Fang Hao, Liu Zhen, Lu Tao, Liangping Liu, Tingting Liu, Cuijuan Liu 2020 Faculty of Information Science and Technology, Ningbo University, Ningbo 315211, China;

Simulation Model Of Crowd Following Phenomenon In Emergencies, Fang Hao, Liu Zhen, Lu Tao, Liangping Liu, Tingting Liu, Cuijuan Liu

Journal of System Simulation

Abstract: Researches on crowd behavior in emergent events are important practical significance for emergency management, most of the current crowd models are collision detection, motion plan and so on. According to the emergency scene analysis of surveillance video, following behaviors of crowd are obviously, modeling following behaviors is an interesting topic in crowd simulation. A following model was proposed based on classical social force model and OCEAN personlity theory, the concept of panic was introduced,, and following conditions of individual was set up, the speed formulas of individual were constructed. Experimental results show that the following model can closely simulate …


Real-Time Rendering Of Large-Scale Coastal Water Based On Adaptive Optimization, Shunli Wang, Fengju Kang, Jianhua Xu 2020 1. School of Marine Technology, Northwestern Ploytechnical University, Xi'an 710072, China;;2. National Key Laboratory of Underwater Information Process and Control, Xi'an 710072, China;

Real-Time Rendering Of Large-Scale Coastal Water Based On Adaptive Optimization, Shunli Wang, Fengju Kang, Jianhua Xu

Journal of System Simulation

Abstract: Focusing on the complex of the wave model and the poor performance of real-time in the large-scale coastal water visualization, a new method based on adaptive optimization for coastal water rendering in real-time was proposed. By introducing the automatic merging algorithm, the complex wave model could be constructed. According to the collision detection technology, the water mesh could be adaptively optimized. In order to improve the realistic, a noise was added to the water surface. The foam and reflection were realized by applying the dynamic texture mapping technology. The experimental results show that the generated coastal water has higher …


Advances In Research And Application Of In-Situ Visualization, Wang Fang, Sikun Li, Zhao Dan, Zeng Liang 2020 1. School of Computer, National University of Defense Technology, Changsha 410073, China;;2. Computational Aerodynamics Institute, China Aerodynamics Research and Development Center, Mianyang 621000, China;

Advances In Research And Application Of In-Situ Visualization, Wang Fang, Sikun Li, Zhao Dan, Zeng Liang

Journal of System Simulation

Abstract: Scientific-Visualization is the most effective means of analyzing numerical simulation data. With the continuous improvement of the high performance computing technology, numerical simulation scale is growing rapidly. It is very difficult to analyze large scale parallel numerical simulation data efficiently due to the limits of IO bandwidth, storage system capacity and post processing pattern of visualization. In-situ visualization utilized the same computer system that ran the simulation tasks to operate visual computing and rendering, so it could overcome the limits of IO and storage system. The advances of in-situ visualization in recent years were reviewed, including data management, large-scale …


Sparse Representation Based Private Face Recognition In The Cloud, Liu Yan, Jin Xin, Zhao Geng, Xiaodong Li, Yingya Chen, Guo Kui 2020 1.Beijing Electronic Science and Technology Institute, Beijing 100070, China;;2.Xidian University, Xi'an 710071, China;

Sparse Representation Based Private Face Recognition In The Cloud, Liu Yan, Jin Xin, Zhao Geng, Xiaodong Li, Yingya Chen, Guo Kui

Journal of System Simulation

Abstract: In order to protect user privacy, identification computing of user facial image data in the cloud was accomplished, the sparse representation based private face recognition method in the cloud was proposed. Terminal users collected face images and compared with face images in cloud database and then determined whether faces the terminal acquired belonged to the cloud face database, but both could not achieve each other's face image content. The method processed face images in database and cloud into sparse representation via a third-party terminal, then using Paillier and oblivious transfer homomorphic encryption algorithm to contrast sparse representation coefficient vector …


Design And Realization Of Optimization System For Rice Type, Weilong Ding, Lifeng Xu, Wei Yang, Gao Nan 2020 College of Computer Science & Technology, Zhejiang University of Technology, Hangzhou 310023, China;

Design And Realization Of Optimization System For Rice Type, Weilong Ding, Lifeng Xu, Wei Yang, Gao Nan

Journal of System Simulation

Abstract: It is widely accepted that in traditional crop ideotype breeding, field trials are time-consuming, yet lacking appropriate ways to evaluate the target morphology to be optimal. In order to obtain ideal crop plant type quickly and automatically, meanwhile to reduce the side effects caused by manual operations in the processes of plant type design, e.g. the growing of labor costs and uncertainty of the outcome, a method based on genetic algorithms (GAs) and functional-structural plant model (FSPM) was proposed in this study to optimize plant type of virtual rice by dynamically adjusting phenotypical traits of rice plants. Based on …


3d Reconstruction Of Weak Texture Image Based On Tensor Voting And Dense Map Method, Mingwei Chen, Yang Yang 2020 1. Kunming University of Science and Technology, Kunming 650500, China;;

3d Reconstruction Of Weak Texture Image Based On Tensor Voting And Dense Map Method, Mingwei Chen, Yang Yang

Journal of System Simulation

Abstract: Image based 3D reconstruction method can't effectively detect and match feature points and can't robustly expand 3D point cloud in weak texture image region, due to the fact that weak texture has single color and local reflection phenomenon. It is possible to produce model hole and a large number of 3D noise points, and affect the accuracy and integrity of 3D reconstruction. Slack variables constraint was used to filter mismatch features optimizing the camera matrix, in the dense point cloud expansion stage by using tensor voting principle to filter noise 3d point which is inconsistent with three-dimensional point's normal …


Ensuring A Safety Workplace By The Automation Of The Ammonia Cooling System, Luis Felipe Cordoba 2020 Syracuse University

Ensuring A Safety Workplace By The Automation Of The Ammonia Cooling System, Luis Felipe Cordoba

International Programs

Ammonia presents high efficiency in freezing food products for preserving them for exportation; however, the use of this refrigerant implies a high risk to human life because it presents high concentrations of toxic gases that can produce deadly consequences to human beings. Smart relays present a flexible manner to automate industrial process; therefore, this poster aims to replace the manual and inefficient manner of controlling ammonia cooling system by using a smart relay that can control the levels of this refrigerant in the precooler and cooler section; resulting in considerable decrease workers’ in exposure to this refrigerant.


Synthetic Aperture Radar Signal Simulation Of Ships On Sea Surface, Guijie Diao, Xiaojian Xu, Ni Hong, Junjie Lu 2020 1. Beijing Electro-mechanical Engineering Institute, Beijing 100074, China;;

Synthetic Aperture Radar Signal Simulation Of Ships On Sea Surface, Guijie Diao, Xiaojian Xu, Ni Hong, Junjie Lu

Journal of System Simulation

Abstract: A synthetic aperture radar (SAR) signal simulation method for ship targets on sea surface was proposed and the SAR signature model was established. The ship six degrees freedom motion model, the sea surface complex reflection coefficient model and the target electromagnetic scattering model were introduced. Based on the high frequency electromagnetic scattering calculation method and multi-path electromagnetic scattering, the electromagnetic coupling scattering and the time-varying characteristics were simulated. By comparing and analyzing the imaging results of the simulated SAR signal in different states, the physical scattering characteristics of ship targets on sea surface was realistically reflected, at the same …


Discrete-Event Simulation-Engine Technology Based On Mailbox-Mechanism In C4Isr System, Wendi Cheng, Fengxin Sun, Chu Wei 2020 1. The 28th Research Institute of China Electronic Group Corporation, Nanjing 210007, China;;2. Science and Technology on Information Systems Engineering Laboratory, Nanjing 210007, China;

Discrete-Event Simulation-Engine Technology Based On Mailbox-Mechanism In C4Isr System, Wendi Cheng, Fengxin Sun, Chu Wei

Journal of System Simulation

Abstract: For the design of discrete event simulation engine about combat simulation platform tools in C4ISR System, discrete events were divided into several types according to the C4ISR System's functional components and operational deduction process. The advantage of centralized management and convenient access was made use of by the mechanism of sending and receiving emails in mailbox to support the circulation of discrete events. Besides, the fixed-step driven and event-driven discrete event engine strategies were compared and analyzed. The result shows that, discrete event-driven clock algorithm, which can greatly reduce the consumed machine-time in simulation, is more applicable at …


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