Simulation Of Earthquake Disaster Affecting Field Direction Based On Mobile Phone Positioning Data,
2019
1. Beijing Key Laboratory of High Dynamic Navigation Technology, Beijing Information Science and Technology University, Beijing 100101, China; ;
Simulation Of Earthquake Disaster Affecting Field Direction Based On Mobile Phone Positioning Data, Xiaoyong Zhang, Xiao Di, Su Zhong, Jianghao Wang
Journal of System Simulation
Abstract: The direction of the earthquake disaster affected field determines the spatial distribution of the earthquake disaster scope, and further influences the post-disaster emergency command and decision. The 7.0 magnitude earthquake occurred at 2017-08-08T21:19:00 is taken as an example; the location data of the internet mobile phone before and after the earthquake area are used. The spatial distribution characteristics of the disappearing mobile phone location data and the orientation direction of the distributed discrete point sets are obtained by using the standard deviation ellipse model in the spatial econometric analysis. The direction of the earthquake disaster affected field is …
Vector Control Of Pmsm Based On Sliding Mode Observer,
2019
Engineering Research Center of IOT Technology Applications Ministry of Education, Jiangnan University, Wuxi 214122, China;
Vector Control Of Pmsm Based On Sliding Mode Observer, Dinghui Wu, Deliang Yang, Jinbao Chen
Journal of System Simulation
Abstract: Aiming at the coupling problem of current loop in vector control permanent magnet synchronous motor, a complex vector decoupling control strategy based on sliding mode observer is proposed. Based on the traditional sliding mode observer, the introduction of Sigmoid as a switching function and variable sliding mode gain to reduce the high frequency chattering, followed by construction of complex vector PI current regulator, combined with the transfer function of zero pole configuration and stability theory, determine the parameters of PI regulator, the view of rotor position and speed sensor observation information into the complex vector PI current regulator decoupling …
Visual Object Tracking Algorithm Based On Deep Denoising Autoencoder Over Rgb-D Data,
2019
1. Faculty of Electronic information Engineering, Huaiyin Institute of Technology, Huaian 223003, China; ;
Visual Object Tracking Algorithm Based On Deep Denoising Autoencoder Over Rgb-D Data, Mingxin Jiang, Zhigeng Pan, Lanfang Wang, Taoxin Hu
Journal of System Simulation
Abstract: A visual object tracking algorithm based on cross-modality features deep learning over RGB-D data is proposed. A sparse denoising autoencoder deep learning network is constructed, which can extract cross-modal features of the samples in RGB-D video data. The cross-modal features of the samples are input to the logistic regression classifier, the observation likelihood model is established according to the confidence score of the classifier, and the reasonable state transition model is established. The object tracking results over RGB-D data are obtained using particle filtering algorithm. Experimental results show that the proposed method has strong robustness to abnormal changes. …
Bayesian Evaluation Method For Energy Efficiency Of Manufacturing System Based On Combined Weights,
2019
School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China;
Bayesian Evaluation Method For Energy Efficiency Of Manufacturing System Based On Combined Weights, Dongfeng Cao, Wang Yan
Journal of System Simulation
Abstract: The energy consumption of discrete manufacturing system presents many complex characteristics such as multi-source, multi-level and dynamic uncertainty, which make energy efficiency analysis and evaluation very difficult. The evaluation index system of energy efficiency of discrete manufacturing system is constructed from three aspects: manufacturing equipment, processing tasks and products. The improved Bayesian probability evaluation model is adopted for energy efficiency evaluation. In determining the weight link, the dynamic modified AHM method is combined with entropy weight method to make up the uncertainty of the structure and parameters of the Bayesian model, and to synthesize the subjective and objective two …
Simulation Data-Driven Modeling Approach For Space Information Network,
2019
School of Electronics and Information, Wuhan University, Wuhan 430072, China;
Simulation Data-Driven Modeling Approach For Space Information Network, Yang Xing, Wu Jing, Jianguo Zhou, Jiang Hao, Zhu Jie
Journal of System Simulation
Abstract: Aiming at the problem for the research on the simulation and modeling of the space information network (SIN) with high complexity, a SIN modeling approach based on simulation data is proposed. On this basis, a deep predictive auto-encoder network for SIN performance indicators and a hybrid forecasting analysis model with random forest regression are designed. Due to the characteristics of high dimensionality and wide distribution of SIN performance indicators, with using the deep learning auto-encoder network, the construction of SIN performance index is realized. Combined with the random forest regression model, the relationship model between the network design parameters …
Modeling And Simulation Of C2 System For Intercepting Lss Targets,
2019
Beijing Information Science and Technology University Beijing Key Laboratory of High Dynamic Navigation Technology, Beijing 100101, China;
Modeling And Simulation Of C2 System For Intercepting Lss Targets, Zhipeng Zhang, Su Zhong
Journal of System Simulation
Abstract: For analyzing the characteristics of low slow small (LSS) targets, a model of command and control (C2) system is established, the corresponding strategy is designed, and the designed scenario is simulated, which can improve the interception effect of the system on LSS targets. In the part of modeling, the trajectory of the target is plotted, the radar information is analyzed, the coordinate transformation between the parts is designed, and the track fusion is designed, which can improve discovery process. As the different characteristics of LSS targets, combined with the limited resources for intercepting weapons, the threat assessment strategies and …
Two-Sided Matching Decision Model Between Task And Resource For Cloud Fusion,
2019
College of the Internet of Things, Jiangnan University, Wuxi 214122, China;
Two-Sided Matching Decision Model Between Task And Resource For Cloud Fusion, Lijun Cheng, Wang Yan
Journal of System Simulation
Abstract: The disjointing of cloud task-to-resource matching link is a prominent problem in the cloud fusion process. Aiming at this problem, a cloud-based fusion task assignment model optimization method based on the improved knowledge migration maximum entropy clustering algorithm (KT-MECA) is proposed, in which the two-sided satisfaction of tasks and resources is considered. The algorithm improves the introduction of historical clustering center knowledge and membership degree knowledge, improves clustering performance and stability, and solves the problem that traditional clustering algorithms cannot be applied to dynamic cloud resource clustering. Considering the two-side subject satisfaction, the result of KT-MECA is applied to …
Simulation Study On Control Performance Of Pmsm-Dtc Under Different Switching Tables,
2019
1. Department of Electrical Engineering, College of Electronics and Information Engineering, Tongji University, Shanghai 201804, China; ;
Simulation Study On Control Performance Of Pmsm-Dtc Under Different Switching Tables, Haoyuan Luo, Dengke Yuan, Zongjie Hu
Journal of System Simulation
Abstract: In the motion system of permanent magnet synchronous motor (PMSM) under direct torque control (DTC), the inverter produces high-frequency common-mode voltage (CMV) based on the switching table when outputting voltage vectors, and its double-closed-loop Bang-Bang control structure also causes current harmonic distortion and high-frequency ripple of the torque. A simulation model is established for PMSM motion system under DTC based on Matlab/Simulink using different switching tables, where performance and CMV between 7 vectors and 6 vectors switching tables are compared respectively. The results demonstrate that both have similar dynamic performance; relative to 6 vectors switching table, 7 vectors switching …
12-Dimensional Zero Velocity State Updating Intelligent Algorithm For Pedestrian Dead Reckoning,
2019
Beijing Information Science Technology University Beijing Key Laboratory of High Dynamic Navigation Technology, Beijing 100192, China;
12-Dimensional Zero Velocity State Updating Intelligent Algorithm For Pedestrian Dead Reckoning, Hengzhi Liu, Li Qing
Journal of System Simulation
Abstract: For wearable pedestrian strapdown inertial navigation and location devices, the different devices need different pedestrian dead reckoning (PDR) parameters, and the parameters are not such the optimal value that it affects the accuracy. A self-pedestrian navigation and location method based on the 12-dimensional zero-velocity state update intelligent algorithm is proposed, in which three dimensional errors of velocity, angular speed, location and geomagnetism are introduced as the system observations and an intelligent estimator which is formed by the support vector machine (SVM) and Kalman filter is established to estimate the system state error, and therefore the system accuracy is improved. …
Designing A Self-Adaptive Fuzzy Pid Controller For Aircraft Cabin Temperature,
2019
1.School of Electronic Information and Automation, Civil Aviation University of China, Tianjin 300300,China; ;
Designing A Self-Adaptive Fuzzy Pid Controller For Aircraft Cabin Temperature, Zongshuai Li, Sibo Zhang
Journal of System Simulation
Abstract: The temperature control system is a highly nonlinear and uncertainty system, and using a conventional PID controller makes it difficult to achieve a good control effect. In this paper, a self-adaptive fuzzy PID controller is described. The model of controlled object is established by combining mechanism modeling with experiment. Aiming at the problem that the parameter range of the self-adaptive fuzzy PID controller varies greatly and is difficult to adjust, a new method is proposed which can easily provide a more reasonable fuzzy controller output variable range. The fuzzy rules based on experts’ experience and knowledge are adopted. The …
Setting Conditions Of U-Turns At Entrances Of Signalized Intersections,
2019
1.School of Highway, Chang’an University, X'an 710064, China; ;
Setting Conditions Of U-Turns At Entrances Of Signalized Intersections, Haipeng Shao, Yuxuan Wang, Xingying Chen, Binbin Zheng
Journal of System Simulation
Abstract: There is a demand for U-turn at intersections of signal controlled intersections. The U-turn conditions required for U-turn vehicles vary with different road and traffic conditions. To determine the appropriate U-turn design conditions at the entrance of the signalized intersection so that vehicles can pass safely and orderly, based on the simulation of the U-turn behavior of the vehicle, the characteristics of the vehicle trajectory are analyzed and a U-turn space discriminant model is established. Based on the theoretical model of vehicle queuing and lane change at signalized intersections, a calculation model for the U-turn setting position is …
Analysis And Optimization Of Hospital Pharmacy Sorting System Based On Simulation,
2019
College of engineering science and technology, Shanghai Ocean University, Shanghai 201306, China;
Analysis And Optimization Of Hospital Pharmacy Sorting System Based On Simulation, Liu Shuang, Lü Chao
Journal of System Simulation
Abstract: The assignment rules are presented by researching system data information with a large Chinese medicine pharmacy sorting system as an object. Based on simulation technology, the system model is presented; the system operation time, cost, efficiency, and assigned laws and human resources configuration as well as many other factors affecting the performance of the system are analyzed. Based on the analysis of the original system, three optimization schemes are designed and compared. The simulation results show that, during the same simulation period, the reallocation of human resources can reduce the economic cost, but it has little improvement on …
Improved Intrusion Weed Algorithm For Solving Flexible Job Shop Scheduling Problem,
2019
Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Jiangnan University, Wuxi 214122, China;
Improved Intrusion Weed Algorithm For Solving Flexible Job Shop Scheduling Problem, Zhang Xin, Li Ke, Dahu Yan, Zhicheng Ji
Journal of System Simulation
Abstract: An improved invasive weed optimization algorithm is proposed for solving multi-objective flexible job shop scheduling problem (FJSP) with released time and delivery date. The minimum completion time of jobs, the maximum work load of machines and the total work load of all machines are taken as the optimization goals to establish a FJSP model. A random key encoding scheme based on transformed sequences is proposed and a mapping relationship is set up between the continuous space and the discrete space of FJSP. An adaptive Gauss mutation operator is introduced to diversify the population in the process of weed breeding. …
Fault Diagnosis Of High Speed Train Bogie Based On Multi-Domain Fusion Cnn,
2019
School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China;
Fault Diagnosis Of High Speed Train Bogie Based On Multi-Domain Fusion Cnn, Yunpu Wu, Weidong Jin, Yingkun Huang
Journal of System Simulation
Abstract: The performance degradation and failures of high-speed train bogie components directly threaten the operation security of train. A fault detection method based on multi-domain fusion convolutional neural network is proposed to address the high complexity, high coupling and strong nonlinearity of vibration signals. Noise injection for time domain signal is used to enhance noise robustness and generalization of the model. Signal time-frequency representation information is obtained through embedded time-frequency transformation layer. Adaptive weight-based fusion is implemented through intrinsic characteristics of the convolutional neural network to handle the multi-domain multi-channel information. The experimental results show that the proposed method improves …
Key Points Analysis And Simulation For System Design Of Airborne Was-Gmti Radar,
2019
College of Information Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;
Key Points Analysis And Simulation For System Design Of Airborne Was-Gmti Radar, Yan He, Daiyin Zhu
Journal of System Simulation
Abstract: Wide area surveillance-ground moving target detection (WAS-GMTI) mode is one of the important modes for most multi-functional airborne radar. System design of the WAS-GMTI mode can affect the final moving targets detection and tracking abilities to a great extent. Therefore, research focuses on the system design of multi-channel WAS-GMTI radar system. The expression of WAS-GMTI radar echo (including the crab angle) is derived. Signal to noise ratio (SNR) and clutter to noise ratio (CNR) are presented. These are the preparations and foundations for the further discussion. Four key points are detailedly analyzed in the process of system design of …
Collision Avoidance Performance Improvement For Tcas In Multi-Aircraft Situations Based On State Prediction,
2019
College of Information Systems and Management, National University of Defense Technology, Changsha 410073, China;
Collision Avoidance Performance Improvement For Tcas In Multi-Aircraft Situations Based On State Prediction, Tang Jun, Fen Zhu, Wan Yu, Songyang Lao
Journal of System Simulation
Abstract: Currently the density of the airspace increases with the air traffic flow increasing significantly, and therefore the conflict occurrence possibility of two or multiple aircraft raises. However, the traffic collision avoidance system (TCAS) may not be able to resolve all the collision problems of multi-threat situation. There is an active demand to improve its performance in multi-threat situation. This paper mathematically describes the traditional TCAS anti-collision mechanism, and achieves its expansion in the horizontal direction, thus proposes the improvement algorithm of collision avoidance performance for TCAS in multi-aircraft situations based on the state prediction. Adjusting the height and vertical …
Evaluation Model On The Vulnerability Of Mining Area Ecosystem Based On Object-Function Petri Net,
2019
Management College, Xi’an University of Architecture & Technology, Xi’an 710055, China;
Evaluation Model On The Vulnerability Of Mining Area Ecosystem Based On Object-Function Petri Net, Su Jia, Guangqiu Huang
Journal of System Simulation
Abstract: Introducing the concept of function into traditional object Petri net, a new evaluation model of ecosystem vulnerability named object-function Petri net model (OFPNEM) was put forward. The facilitating and suppressing factors of the ecosystem degradation were analyzed in this evaluation model. Trigger conditions of vulnerability were depicted as transitions and the state of ecosystem in the process of change were depicted as object places. Logical causality of environmental degradation could be represented directly. Furthermore, evaluation model on the vulnerability of mining area ecosystem based on object-function Petri net was proposed. Through object-function Petri net, combining the rules of model, …
Three Dimension Tolerance Analysis And Optimization Based On 3dcs,
2019
1. State CIMS Engineering Research Center at Tsinghua University, Beijing 100084, China; ;
Three Dimension Tolerance Analysis And Optimization Based On 3dcs, Qiaofeng Meng, Linxuan Zhang, Linzheng Yin, Zhixia Hou, Zou Fang
Journal of System Simulation
Abstract: According to the tolerance allocation and optimization problems in engineering practice, the vector loop model is established by using the concept of vector, and the improved scheme based on the idea of "dichotomy" method is explored. Through the virtual assembly process of a certain model car, the rear cover and tail light are mounted on the white body. Based on 3DCS dimensional tolerance analysis and optimization of simulation, it is proved that the improved scheme with some advanced and practical property has great superiority compared to the original equal tolerance allocation method. It can solve the practical problems faced …
Numerical Simulation Analysis Of The Effects Of Flight Angle And Bend-Fold On Bird-Like Flapping-Wing Air Vehicle,
2019
School of Aeronautics Engineering, Civil Aviation University of China, Tianjin 300300, China;
Numerical Simulation Analysis Of The Effects Of Flight Angle And Bend-Fold On Bird-Like Flapping-Wing Air Vehicle, Yonggang Yang, Hanping Su, Xindong Gu, Yanqing Chen
Journal of System Simulation
Abstract: Aiming at the multi-parameter coupling problems of flapping-wing flight of birds, a 3D model of bird-like flapping-wing air vehicle (FAV) is established based on overall dimensions of bird. A multi-degree-of-freedom motion model of “swing-torsion-bending and folding” is built. The XFlow is used to analyze the effects of flight angle and flapping-wing bending-folding. Research results show that peak values of lift coefficient and drag coefficient change with different flight angles; at the zero flight angle, minimum mean drag coefficient and maximum lift-drag ratio will be achieved and avail to level flight. Caused by the bending-folding effect, violent vortex and negative …
Numerical Study On Energy Absorption Mechanism Of Sandwich Plates Under Blast Loading,
2019
College of Naval Architecture and ocean Engineering , Naval Univ. of Engineering, Wuhan 430033, China;
Numerical Study On Energy Absorption Mechanism Of Sandwich Plates Under Blast Loading, Jinlei Mu, Shaosong Min, Peng Fei
Journal of System Simulation
Abstract: In order to study the anti-explosion ability and energy absorption mechanism of the sandwich plates under blast loading, the FEM software Abaqus/Explict is used to simulate the response process of the solid plate and the sandwich plate. The solid plate is modeled with shell elements and continuum elements respectively. The results show the elements type has little effect on the results. During the same condition the deformation of the front plate is bigger than the solid plate, while the deformation of the back plate is smaller than the solid plate. The external force work mainly converses the kinetic energy …
