Partially Observed System Design Method Realizing Unambiguous Fault Diagnosis,
2020
1. School of Computer & Information, Heifei University of Technology, Hefei 230009, China;;2. College of Science, Anhui University of Science & Technology, Huainan 232001, China;;
Partially Observed System Design Method Realizing Unambiguous Fault Diagnosis, Fang Huan, Lu Yang, Yue Feng, Junming Guan
Journal of System Simulation
Abstract: The construction methodology of partially observed system realizing unambiguous fault diagnosis was studied. The observable places determination algorithm OPD was proposed, and the necessary and sufficient condition for solution existence of the algorithm with polynomial time complexity was presented, then it is proved that all transitions in the modeled system could be distinguished by setting SO. The system operating state determination algorithm SOSD was presented based on the OPD algorithm. The proposed SOSD algorithm was realized by 1-step forward marking computation of observable places set $S_O$, it doesn't rely on the initial marking $M_0$ of the controlled …
Simulation Analysis On Radial Diffusion Model For Solidification Process Of Carbon Fiber Production,
2020
1. College of Information Sciences and Technology, Donghua University, Shanghai 201620, China;;2. Engineering Research Center of Digitized Textile and Fashion Technology of Ministry of Education, Shanghai 201620, China;
Simulation Analysis On Radial Diffusion Model For Solidification Process Of Carbon Fiber Production, Lihong Ren, Xu Feng, Yongsheng Ding, Zhang Tao
Journal of System Simulation
Abstract: Considering that Polyacrylonitrile Dimethyl Sulfoxide solution and Dimethyl Sulfoxide aqueous solution were used as the spinning dope and coagulating liquid respectively, the solidification process in spinning system of carbon fiber was studied. The radial concentration distribution and the curve of time-dependence concentration were proposed. The influence of the spinning conditions on the solidification process was investigated by changing the parameters of the model. The results show that extending the coagulation time by using coarser article spinning or increasing the solid content in dope can help to obtain the fiber with uniform structure and densification. The proposed method has good …
Combat Crowd Behavior Modeling Based On Multilayered Decision-Making,
2020
Academy of Armored Forces Engineering, Beijing 100072, China;
Combat Crowd Behavior Modeling Based On Multilayered Decision-Making, Xue Qing, Wenchao Xu, Changwei Zheng, Guohui Zhang
Journal of System Simulation
Abstract: Training simulator is one important part of the virtual solider technology application, and the combat crowd behavior research can improve training effect efficiently. The model divided the combat decision-making into five layers: biomechanical, reactive, cognitive, and rational, and constructed combat crowd behavior model; proposed the concept of interaction unit that can save and perform the interaction between agents. The multilayered decision-making system used an oriented graph managed the behavior planning and built the interaction management. The model divided the combat behavior into seven basic behavior in order to simplify the combat goal. The model was used in an equipment …
Dynamic Offense And Defense Conversion Strategy Of Robot Soccer Based On Ant Colony System,
2020
Key Laboratory of Industrial Internet of Things & Networked Control, Ministry of Education, Chongqing University of Posts and Telecommunications, Chongqing 400065, China;
Dynamic Offense And Defense Conversion Strategy Of Robot Soccer Based On Ant Colony System, Xianlun Tang, Jialin Zhou, Lamei Li, Zhang Yi
Journal of System Simulation
Abstract: In order to improve the offense and defense capability of robot soccer, a dynamic offense and defense conversion strategy of robot soccer based on hybrid communication mechanism of ant colony system was proposed. The mechanism enhanced robots' collaboration capabilities and avoided the conflict or task deadlock. The strategy divided the region and established the formation according to the sub-regional pheromone, and the position of the ball was regarded as the drive information. Experimental results in FIRA simulation platform show that the dynamic offense and defense conversion strategy have better performance and improve the global offense and defense capability, so …
Fault Diagnosis For Automobile Coating Equipments Based On Extension Neural Network,
2020
College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310014, China;
Fault Diagnosis For Automobile Coating Equipments Based On Extension Neural Network, Yongwei Ye, Shedong Ren, Lianqiang Ye, Shenhao Ge, Zhiqin Qian
Journal of System Simulation
Abstract: Aiming at the difficulty in discovering and eliminating the system faults of automobile coating equipments in time, a new method of fault diagnosis based on extension neural network was proposed. The feature of extension theory was used in managing the structured information through qualitative and quantitative description, and it was also combined by the characteristic of parallel construct in neural network. So the extension reasoning process was completed by means of the parallel distributed processing construct of the network. Matter-element input and output models were established according to the equipment monitoring parameters and fault types for the heating system. …
Game Theory Based Self-Adaptive Power Control Algorithm For Cognitive Radio Networks,
2020
Department of Communication Engineering, School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China;
Game Theory Based Self-Adaptive Power Control Algorithm For Cognitive Radio Networks, Zhonggui Ma, Ban Sha, Guimei Chen, Linqi Chen
Journal of System Simulation
Abstract: In order to meet all cognitive users' demands in the Cognitive Radio Networks(CRNs), non-cooperative game theory was used to model power control in the CRNs, and an adaptive power control algorithm for the CRNs was put forward using payoff unction and comprehensive cost function as utility function. Meanwhile, distances from the base station, stability of the algorithm and the interference between different cognitive users were considered. The existence and uniqueness of the Nash equilibrium were analyzed. By using the comprehensive cost function, each cognitive user in a non-cooperative game becomes cooperative and the Nash equilibrium can be convergent to …
Traction Calculation Analysis And Simulation Of Urban Rail Train On Multi-Particle Model,
2020
School of Mechatronic Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China;
Traction Calculation Analysis And Simulation Of Urban Rail Train On Multi-Particle Model, Jianjun Meng, Xiaoqiang Chen, Ruxun Xu, Yanlong Zhang, Tengzhou Wei, Xiaoqi Jiang
Journal of System Simulation
Abstract: In order to optimize the traction operation of urban rail train, and make the train operation more accurately and closely to the reality, train multi-particle model was established on the basis of train kinematic equations and hybrid optimization traction strategy. Linear interpolation was adopted in the process of traction and braking force analysis, and the selection of braking point was obtained by reverser trial method. Then, according to the set parameters of train and line, traction operation was simulated by Matlab. Simulation results show that multi-particle model compared with single-particle model, can effectively improve precision of additional resistance on …
Two-Level Systematic Calibration Method Of Fog Strap-Down Inertial Navigation System,
2020
School of Geomatics, Liaoning Technical University, Fuxin 123000, China;
Two-Level Systematic Calibration Method Of Fog Strap-Down Inertial Navigation System, Guiling Zhao, Qihang Yang, Li Song
Journal of System Simulation
Abstract: According to the characteristics of traditional systematic calibration method that of high state variable dimension, poor observability and easy filtering divergence, a two-level systematic calibration method was proposed. By merging the accelerometer calibration errors and FOG calibration errors, the dimension of Kalman filter was reduced. The systematic calibration method took speed error and attitude error as observation vector and designed six positions to estimate the state vector, then decoupled the estimation and calculated the calibration errors. For the characteristics that the estimated time of FOG calibration error was long and the beginning of Kalman filter convergenced rapid, it estimated …
Cross-Domain Identification For Thermal-To-Visible Face Recognition,
2020
University of Nebraska-Lincoln
Cross-Domain Identification For Thermal-To-Visible Face Recognition, Cedric Nimpa Fondje, Shuowen Hu, Nathaniel J. Short, Benjamin S. Riggan
Department of Electrical and Computer Engineering: Faculty Publications
Recent advances in domain adaptation, especially those applied to heterogeneous facial recognition, typically rely upon restrictive Euclidean loss functions (e.g., L2 norm) which perform best when images from two different domains (e.g., visible and thermal) are co-registered and temporally synchronized. This paper proposes a novel domain adaptation framework that combines a new feature mapping sub-network with existing deep feature models, which are based on modified network architectures (e.g., VGG16 or Resnet50). This framework is optimized by introducing new cross-domain identity and domain invariance loss functions for thermal-to-visible face recognition, which alleviates the requirement for precisely co-registered and synchronized imagery. We …
System And Method For Object Recognition Based Estimation Of Planogram Compliance,
2020
Tata Consultancy Services Limited
System And Method For Object Recognition Based Estimation Of Planogram Compliance, Pranoy Hari, Shilpa Yadukumar Rao, Rajashree Ramakrishnan, Avishek Kumar Shaw, Archan Ray, Nishant Kumar, Dipti Prasad Mukherjee
Patents
Object recognition-based estimation of planogram compliance provides an expected arrangement of products on shelves. Identifying whether a product is placed in an appropriate location on a shelf is a challenging task due to various real-time parameters associated with image capturing. In the present disclosure, an input image associated with a shelf of a retail store is received and product images are cropped. Further, a set of reference images stored in a database are scaled corresponding to the input image. Further, one or more composite matching scores are calculated based on normalized cross-correlation and shape-based feature matching to obtain one or …
New Energy-Saving Control Of Induction Motor Considering Core Loss,
2020
1. Shanghai Institute of Technology, Shanghai 201400, China;;
New Energy-Saving Control Of Induction Motor Considering Core Loss, Bulai Wang, Wei Biao, Zhang Fan, Zhenzhen Huang, Yunfei Zhang
Journal of System Simulation
Abstract: In order to further improve the running efficiency of induction motor, a new energy-saving control method was proposed. Considering the influence of varied flux, a control strategy coordinating the optimal flux with the optimal slip angular frequency based on the slip angular frequency control was built. The mathematical model of induction motor considering core loss was established. The expression of the optimal flux and slip angular frequency was obtained according to the Lagrange multiplier method when system was the highest efficiency. By using MATLAB simulation platform, a simulation model of the energy saving control system was built doing a …
Research On Radar Anti-Jamming Performance Evaluation Index System Based On Rough Set Theory,
2020
1. The State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, Luoyang 471003, China;;
Research On Radar Anti-Jamming Performance Evaluation Index System Based On Rough Set Theory, Zongfeng Qi, Han Shan, Jianxun Li
Journal of System Simulation
Abstract: The applications of generalized rough set theory were researched for the construction and optimization of radar anti-jamming performance evaluation index system. A mass of real-valued data was converted to some interval-valued data to avoid the difficulty of classification. The H'- information entropy-based information filling technique was employed to solve the problem of missing evaluation data. The E-condition entropy-based heuristic algorithm was applied to make attribute reduction, optimize evaluation index system, and extract final decision rules. The feasibility, validity and practicability of proposed method were testified by a simulation example.
Facial Vital Sign Based Countermeasure Against 3d Mask Attacks,
2020
Key Laboratory of Advanced Control and Optimization for Chemical Process (Ministry of Education),East China University of Science and Technology, Shanghai 200237, China;
Facial Vital Sign Based Countermeasure Against 3d Mask Attacks, Xiaojing Gu, Chuanqing Fu, Xingsheng Gu
Journal of System Simulation
Abstract: Vulnerability to spoofing attacks is the main drawback for current face authentication systems. Traditional spoofing attacks include displaying printed photos and replaying recorded videos. With the development of 3D printing technology, the 3D mask spoofing attack has been becoming the new threat. A novel anti-spoofing feature was proposed to 3D mask attacks. A liveness feature from the power spectrum of facial color signal was extracted based on a physiological phenomenon that the color of real human face changed periodically due to the blood circulation. The performance of countermeasure jointly using the liveness feature and facial texture feature was evaluated …
Modeling And Control Of Shaking Motion Of Aerial Refueling Hose-Drogue,
2020
College of Automation Engineering, Nanjing university of Aeronautics and Astronautics, Nanjing 210016, China;
Modeling And Control Of Shaking Motion Of Aerial Refueling Hose-Drogue, Zhang Jin, Suozhong Yuan, Quanquan Gong
Journal of System Simulation
Abstract: Hose-Drogue fly with the tanker in the air can produce shaking motion which increases the difficulty of coupling with a refueling drogue for a receiver plane safely and accurately. A mathematical model of shaking motion of aerial refueling hose drogue under the tanker wake and atmospheric turbulence was proposed by the method of rigid multibody dynamics. Then the balance drag wake of hose-drogue and the atmospheric turbulence on hose-drogue in different flight conditions were analyzed based on this model. To reduce the movement amplitude of the hose-drogue in the air, the controller to the motion of the hose-drogue …
Research And Design Of All-Purpose Simulation Platform Of Fault Injection,
2020
School of Computer Science, Beijing University of Posts and Telecommunications, Beijing 100876, China;
Research And Design Of All-Purpose Simulation Platform Of Fault Injection, Wenbin Yao, Zhao Ling, Wang Zhen, Yao Xiang
Journal of System Simulation
Abstract: Focusing on the limited injection position and single target system problems existing in the simulation research of fault injection, combined with the NS2 simulation technology and fault injection method, an all-purpose simulation platform of fault injection was proposed. The layered model of the targeted information system was constructed, whose topology information and service performance information was given by the matrix, and improved the generality of the simulation platform of fault injection. Based on the configuration information, the platform constructed the fault library, which brought the cost reduction and reliability promotion of the system faults. The quadruple design of the …
Software Technology Of Transportation Virtual Simulation Experiment Teaching Center,
2020
School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China;
Software Technology Of Transportation Virtual Simulation Experiment Teaching Center, Shiwei He, Leishan Zhou
Journal of System Simulation
Abstract: The general architecture and experiments of Transportation National Virtual Simulation Experiment Teaching Center (TNVSETC) were introduced. The features of simulation platforms which include “huge, multi-sources, iomerous” big-data platform, “whole procedure, semi-object, virtual reality” railway planning, design and operation integrated simulation platform, roadway planning, design, control and operations evaluation simulation platform were analyzed. The main modeling techniques and technique characteristics of simulation software including traffic circumstance construction technology, vehicle behavior model, pedestrian behavior model, transporation supplying model and management methods were summarized. The advice on the future development of TNVSETC simulation software was proposed.
Fusion Comparing Visualization Method For Pesticide Residue Detection Data,
2020
1. Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer and Information Engineering,Beijing Technology and Business University, Beijing 100048, China;;
Fusion Comparing Visualization Method For Pesticide Residue Detection Data, Hongqian Chen, Li Hui, Fang Yi, Qixian Liu, Chen Yi
Journal of System Simulation
Abstract: To express efficiently the association and difference among cities, categories and standards in pesticide residue detection data analysis, a fusion visualization method based on data statistic and OpenGL graphics library was proposed. The method can accelerate the dataset comparing and selecting for the expert interaction and data analysis. The method firstly summarizes the detection data in pesticide residue detection database according to its various category and belonging region. All the data are shown in one fusion visualization result. The result can assist expert to compare efficiently and analysis intuitionally the dataset. The data of the selected dataset in …
Research On Switched Current Mirror Mismatch And Simulation,
2020
1. School of Electrical Engineering and Automation Postdoctoral Mobile Research Station, Hefei University of Technology, Hefei 230009, China;;2. Key Lab of Integrated with Optoelectronic Information and Optical Fabrication in Hunan, Changde 415000, China;
Research On Switched Current Mirror Mismatch And Simulation, Jierong Guo, Yigang He, Changqing Liu
Journal of System Simulation
Abstract: Typical sources of switched current mirror mismatch were discussed. The most important three parameter of mismatch: transconductance, threshold voltage and the sub threshold slope were analyzed, due to the switch current circuit adopts the width to length ratio characteristic for calibration design. SPICE model using Hspice platform and 0.18 um BSIM3_V3.1 were proposed for circuit simulation. The simulation and analysis of mismatch were executed based on two kinds of operating rules of weak inversion and strong inversion. The compensation ability for mismatch was provided by floating gate switch current mirror which was also verified by simulation. Analysis and simulation …
Adaptive Minimum Entropy Blind Equalization Algorithm Based On Quantum Artificial Fish Swarm Optimization,
2020
1. Jiangsu Key Laboratory of Meteorological Observation and Information Processing, Nanjing University of Information Science & Technology, Nanjing 210044, China;;2. Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment, Nanjing University of Information Science & Technology, Nanjing 210044, China;;
Adaptive Minimum Entropy Blind Equalization Algorithm Based On Quantum Artificial Fish Swarm Optimization, Yecai Guo, Wu Xing, Huang Wei, Wang Hui
Journal of System Simulation
Abstract: In order to improve the equalization performance of high order inconstant modulus signals, adaptive minimum entropy super-exponential iteration blind equalization algorithm based on quantum artificial fish swarm optimization was proposed. The proposed algorithm could accelerate convergence rate via super-exponential iteration algorithm and could further decease the mean square error of the super-exponential iteration adaptive minimum entropy blind equalization algorithm via using the global optimization of the quantum artificial fish swarm algorithm designed by Schrodinger equation. The simulation results demonstrate that the proposed algorithm has fast convergence rate and lower mean square error for different higher modulation signals comparison with …
Short -Term Prediction Of Wind Power Based On Ide-Wnn And Probabilistic Evaluation,
2020
1. Department of Electrical Engineering, Tongling University, Tongling 244000, China;;
Short -Term Prediction Of Wind Power Based On Ide-Wnn And Probabilistic Evaluation, Zengliang Liu, Songlin Zhou, Tongxu Zhou
Journal of System Simulation
Abstract: Wind power prediction usually concludes determined and uncertainly prediction. The former puts important on prediction accuracy and the later focus on the the risk of prediction results. For increase the prediction accuracy, an improved differential evolution algorithm was applied to widely search the optimal solution of wavelet neural network in different directions. By calculating joint conditional probability of wind power predictions about prediction error and power fluctuation, the risk of prediction results could be more fully assessed. The effectiveness of the proposed method was verified by simulation experiments.
