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Articles 4501 - 4530 of 13783

Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering

Digital Simulation And Synthesis Of Yunnan Out-Of-Print Woodcuts Based On Nicks, Li Jie, Jianxia Hou, Xuesong Wang, Xu Dan, Yuanyuan Pu Aug 2020

Digital Simulation And Synthesis Of Yunnan Out-Of-Print Woodcuts Based On Nicks, Li Jie, Jianxia Hou, Xuesong Wang, Xu Dan, Yuanyuan Pu

Journal of System Simulation

Abstract: Woodcut printing is a painting, in which knife and wood block are used instead of pen and paper. Yunnan out-of-print woodcut is an extension of the woodcut printing. By working with a single block and multiple printings, Yunnan out-of-print woodcut can produce special effects of color overlap. Following the working process of it, an automatic method was studied based on nicks to synthesize a virtual Yunnan out-of-print woodcut. Image was sliced out by using color clustering. A global orientation field was got which reflected the gradient information. Real nicks guided by streamlines was placed based on orientation field. The …

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Assessment Model Of Conflict Probability At Airport Surface Intersection, Weijun Pan, Xiaolin Luo, Kang Rui, Chenyu Huang, Zhenghong Xia, Wenbin Qiu Aug 2020

Assessment Model Of Conflict Probability At Airport Surface Intersection, Weijun Pan, Xiaolin Luo, Kang Rui, Chenyu Huang, Zhenghong Xia, Wenbin Qiu

Journal of System Simulation

Abstract: Based on aircraft characteristics, the assessment model of conflict probability at airport surface intersection was studied to ensure the safety of airport ground safety. The engine jet effect distance was introduced to expand the scope of intersection conflict, describing the process of aircraft conflict. The model with the actual operation data was verified, and the speed interval's impact on the model was analyzed and discussed. In the view of three motion states of aircraft, this model analyzed the variations in conflict probability. When speed variation range is 0.5m/s, probability analysis of the conflict is more ideal, and can improve …

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Flow Visualization Based On Enhanced Streamline Line Integral Convolution, Han Min, Haichao Zhang, Maosong Bian, Danchen Zheng Aug 2020

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 …

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Soft Sensor Of Particle Size Of Grinding Process Based On Improved Csapso Neural Networks, Zhou Ying, Huimin Zhao, Chen Yang, Wang Long Aug 2020

Soft Sensor Of Particle Size Of Grinding Process Based On Improved Csapso Neural Networks, Zhou Ying, Huimin Zhao, Chen Yang, Wang Long

Journal of System Simulation

Abstract: Aiming at the problems that the particle size can’t be measured online and the offline analysis by lab sample existing in large-time delay, by combining the characteristics of the one stage grinding circuit, the soft sensor model of particle size was proposed by the combination of improved chaotic self-adaptive particle swarm optimization and BP neural network algorithm. Taking advantages of chaotic theory ergodicity and PSO global optimal searching ability, the algorithm above couldadjust the weights of BP network adaptively and avoid falling into the local optimum. As a result of MATLAB simulation, the measurement accuracy of the improved CSAPSO-BP …

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Method To Calculate Multi-Objective And H2/H∞ Control Of Vehicle Vertical Vibration System, Jianjun Meng, Bai Huan, Mou Jian, Yin Ming, Xuri Guan Aug 2020

Method To Calculate Multi-Objective And H2/H∞ Control Of Vehicle Vertical Vibration System, Jianjun Meng, Bai Huan, Mou Jian, Yin Ming, Xuri Guan

Journal of System Simulation

Abstract: Aiming at the disadvantage of single object in railway vehicle damping system,the multi-objective optimal control law of railway vehicle damping system was devised to balance shock absorption control and energy saving control. To improve the riding comfortability and reduce the energy consumption, the multi-objective H2/H∞ output-feedback controller based on LMI was developed for an active suspension of 6-DOF vertical vibration model of railway vehicle. Norm H2 of the actuator output was taken as the energy consumption indexes, and norm H∞ of the vertical vibration displacement, the acceleration and the nutation angle was taken as …

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Viability Control Of Rigid Body Wheeled Robots For High Speed Obstacle Avoidance, Liu Lei, Gao Yan, Yuepeng Wu Aug 2020

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 …

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Grey Wolf Optimizer For Parameters Identification Of Induction Motor With Improved Model, Xiaoyi Lü, Huang Song, Wang Yan, Zhicheng Ji Aug 2020

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 …

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Simulation Technology Research On Streak Tube Imaging Lidar, Wenze Xia, Shaokun Han, Jingya Cao Aug 2020

Simulation Technology Research On Streak Tube Imaging Lidar, Wenze Xia, Shaokun Han, Jingya Cao

Journal of System Simulation

Abstract: A simulation model on streak tube imaging lidar was introduced. The range equation of lidar, the pulse model of illuminating laser and the scanning equation were used in the model. The system noise was analyzed. The experiment result shows the effectiveness of proposed simulation model. The effect of the pulse laser peak power on distance precision of reconstructed range image was analyzed. This method provided theoretical guidance and desired result inspection for designing of the streak tube imaging lidar.

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Optimized Linear Active Disturbance Rejection Controller Design For Hydraulic Turbine Governing Systems, Huang Yu, Jiarong Wang Aug 2020

Optimized Linear Active Disturbance Rejection Controller Design For Hydraulic Turbine Governing Systems, Huang Yu, Jiarong Wang

Journal of System Simulation

Abstract: The linear active disturbance rejection control is difficult to obtain good control effect as its parameters are not easy to get. A gravitational search algorithm based on Nelder-Mead (NM) simplex search was presented. The replace mechanism of NM simplex search and the particles update method of gravitational search algorithm were combined together in this algorithm. Simplex method has strong local search ability, therefore, the algorithm can overcome the shortcomings of gravitational search algorithm plunging into the local optimal. The proposed algorithm was applied to the parameter optimization of linear active disturbance rejection controller of hydraulic turbine governor system. Simulation …

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Modeling And Simulation Of Boiler Superheated Steam Temperature System Based On System Dynamics, Le Wei, Yuanyuan Yan Aug 2020

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 …

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Numerical Simulation On Self-Synchronization Of Double Mass Vibrating System With Tri-Exciter, Yongjun Hou, Le Yu, Fang Pan, Zhou Ran Aug 2020

Numerical Simulation On Self-Synchronization Of Double Mass Vibrating System With Tri-Exciter, Yongjun Hou, Le Yu, Fang Pan, Zhou Ran

Journal of System Simulation

Abstract: A double mass vibrating system of self-synchronization with tri-exciter was put forward. The dynamic differential equation of the double mass vibrating system was established and the electromechanical coupling mathematical model was got. The new electromechanical coupling simulation model was built. By the method of controlling variables, the effects of various factors, such as stiffness of middle spring, resonance, centrifugal force and motor mounting position on self-synchronization of the system and phase difference were studied in a numerical experiment manner. The research results show this system can achieve a stably synchronized motion under certain conditions. The stiffness of intermediate spring, …

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Bubble Dynamics Simulation In Transformer Oil Under Ac Electric Field, Zhao Tao, Yunpeng Liu, Fangcheng Lü, Liu Shan Aug 2020

Bubble Dynamics Simulation In Transformer Oil Under Ac Electric Field, Zhao Tao, Yunpeng Liu, Fangcheng Lü, Liu Shan

Journal of System Simulation

Abstract: The dynamics of gas bubbles in transformer oil was theoretically explored. A numerical model was introduced for the bubble dynamics in the transformer oil under AC electric field. The electrodynamic force was calculated by integrating the Maxwell stress tensor on the surface of the bubble, and then the bubble trajectory was obtained through the force calculation of the bubble under the AC electric field. Notably, trajectories calculated indicate the bubble aggregation in concentrated area of the electric field between the needle-plane electrode, and different bubble radius will affect the trajectory of the bubble. Also, different bubble radiuses cause a …

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Research Progress On Weapon And Equipment Effectiveness Evaluation, Yuchen Zhou, Shengling Lin, Ma Ping, Li Wei, Yang Ming Aug 2020

Research Progress On Weapon And Equipment Effectiveness Evaluation, Yuchen Zhou, Shengling Lin, Ma Ping, Li Wei, Yang Ming

Journal of System Simulation

Abstract: 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 …

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Parameterization Of Complex Pipeline Meshes And Its Large-Scale Online Visualization, Huijuan Zhang, Liu Fan, Dongqing Wang, Jinyuan Jia Aug 2020

Parameterization Of Complex Pipeline Meshes And Its Large-Scale Online Visualization, Huijuan Zhang, Liu Fan, Dongqing Wang, Jinyuan Jia

Journal of System Simulation

Abstract: With the application of WebBIM technology in the field of large-scale building models, the complexity of models and the number of components are growing geometrically. The complex pipeline grid model is a key issue of affecting the lightweight of the BIM models and online rendering rate. In order to reduce the data volume and complexity of the complex pipeline meshes, a lightweight parameterization algorithm for the general cylindrical pipeline meshes, the curved pipeline meshes and also the hollow pipeline meshes is proposed. Redrawing the parameterized pipeline model and some visual optimization methods such as LOD technology being used reduce …

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Research On Factor Selection Method Of Equipment Effectiveness Simulation Experiment Based On Grey Correlation Analysis, Zhang Yuan, Yingbo Lu, Chen Ding, Chen Wei, Jiajun Zhang, Zhiyong Lu Aug 2020

Research On Factor Selection Method Of Equipment Effectiveness Simulation Experiment Based On Grey Correlation Analysis, Zhang Yuan, Yingbo Lu, Chen Ding, Chen Wei, Jiajun Zhang, Zhiyong Lu

Journal of System Simulation

Abstract: The large number and different distributions of the equipment effectiveness simulation experiments factors, increase the experiments costs. Aiming at this, a factor screening method based on the grey correlation analysis theory is proposed. On the basis of the small amount of simulation data, the grey absolute correlation degree value relative to the effectiveness value of each factor is calculated, and the more sensitive indexes are screened out, the spatial dimensionality reduction is realized and the experiments costs of simulations are reduced. The feasibility of the method is verified by the factor screening simulation experiments of an air defense …

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Multi-Auv Complete Coverage Path Planning Based On Improved Neural Network, Daqi Zhu, Tingting Zhu, Mingzhong Yan Aug 2020

Multi-Auv Complete Coverage Path Planning Based On Improved Neural Network, Daqi Zhu, Tingting Zhu, Mingzhong Yan

Journal of System Simulation

Abstract: Aiming at the working space search task of multiple AUVs (Autonomous Underwater Vehicle) in 3-dimensional underwater environments, a complete coverage path planning algorithm based on an improved neural network-Glasius Bio-inspired Neural Network (GBNN) is presented in this paper. A discrete 3-D grid map of the underwater environment is constructed. A 3-D GBNN model is established topologically according to the map. Based on the dynamic activities of GBNN model, each AUV plans its own coverage path independently, and covers the whole working space collaboratively. The simulation results show that the multiple AUVs can collaboratively cover the working space completely, automatically …

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Simulation On Obstacle Avoidance Tracking Of Intelligent Vehicle Based On Model Predictive Control, Deng Tao, Li Xin Aug 2020

Simulation On Obstacle Avoidance Tracking Of Intelligent Vehicle Based On Model Predictive Control, Deng Tao, Li Xin

Journal of System Simulation

Abstract: Aiming at the obstacle avoidance and path tracking control of intelligent vehicle, a model predictive controller (MPC) is designed. A layered structure is used in the controller. The high-level layer carries out the local path planning based on non-linear vehicle point mass model and the low-level layer realizes the path tracking based on monorail vehicle dynamics model. Through the joint simulation of Carsim and Matlab software, the controller parameters are optimized on-line by using Particle Swarm Optimization, and the performance of the controller is tested at different speeds. Simulation results show that the controller has good robustness, …

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Research On Context-Aware Model Of Combat Processes, Qiaoyu Deng, He Ming, Zhixue Wang, Zhongwei Wang Aug 2020

Research On Context-Aware Model Of Combat Processes, Qiaoyu Deng, He Ming, Zhixue Wang, Zhongwei Wang

Journal of System Simulation

Abstract: In traditional joint operations, all collaborators make collaboration rules in advance to guide the operations. The unknown battlefield environment varies constantly, and military organizations must make adjustments to guarantee the combat operations order. A model of operational processes based on context awareness is built. The ontology theory is introduced to present the context. On the basis of event calculus, the analysis is carried out to the perceived context of combat processes, and the variation of organizations ability and the situation of processes are provided to guide the self-synchronizing decision-making.

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Numerical Analyses And Research Of Lc And Rc Filter Circuits For Nonperiodic Signal, Zhou Jing, Jianbin Zhou, Hong Xu, Yingjie Ma, Wang Min, Zhou Wei Aug 2020

Numerical Analyses And Research Of Lc And Rc Filter Circuits For Nonperiodic Signal, Zhou Jing, Jianbin Zhou, Hong Xu, Yingjie Ma, Wang Min, Zhou Wei

Journal of System Simulation

Abstract: With a numerical method, LC and RC filter circuits were used to the nonperiodic signal filtering analyses in DC power output voltage. By applying the method of numerical solution of differential equation, the numerical recursive solution of circuit differential equations could be obtained, thus, numerical models of circuits could be established. The numerical models could be used to the quantitative analysis of nonperiodic signal. The defects of LC and RC filter circuits in DC power output voltage filtering were indicated, LRC filter circuit was introduced, and numerical simulation results show that this circuit can overcome the defects of LC …

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Research Of Smart Shopping System, Lilong Chen, Jianwen Song, Zhou Wei, Liguo Zhang, Zhigeng Pan Aug 2020

Research Of Smart Shopping System, Lilong Chen, Jianwen Song, Zhou Wei, Liguo Zhang, Zhigeng Pan

Journal of System Simulation

Abstract: Hypermarket is quite large in area, and rich in many different kinds of goods, the customer needs to spend a lot of time looking for the products and waiting in check-out queues; And hypermarket not only needs to invest a lot of manpower and financial resources in links such as shopping guide and check-out, and the efficiency is not high, but also lack of statistical means in spending habits of each customer. It has an important significance in the hypermarket to create a smart shopping system by putting mobile information technology, automatic identification technology (RFID technology, for …

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Energy Efficiency Optimization For Discrete Manufacturing Workshop Based On Discrete Teaching-Learning-Based Optimization Algorithm, Junhui Xu, Wang Yan Aug 2020

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 …

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New Voltage Balancing Method For Cascaded Rectifier Based On Predictive Power Model, Hongbin Pan, Linhai Liu, Zhiyong Xiao, Sicheng Ou, Maokun Zhu, Fen Xu Aug 2020

New Voltage Balancing Method For Cascaded Rectifier Based On Predictive Power Model, Hongbin Pan, Linhai Liu, Zhiyong Xiao, Sicheng Ou, Maokun Zhu, Fen Xu

Journal of System Simulation

Abstract: The dq synchronous system was built by constructing virtual orthogonal voltage and current based on second order generalized integrator. The predictive power model was derived to construct main control system of cascaded H-bridge rectifier combining the instantaneous power theory, which took the duty cycle of active and reactive power as control object. Then, a new voltage balancing control strategy was proposed dealing with the problem of DC voltage imbalance in cascaded H-bridge rectifier. The modification of active power was obtained by the voltage balance controller when the objective function of coupling effect achieves minimum and the active power was …

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Research Of Non-Dead-Time Control Method On Single-Phase Off-Grid Inverter Based On H6 Topology, Kun Xia, Li Jing, Ge Yue, Lirong Shen, Yiming Wang, Xu Po Aug 2020

Research Of Non-Dead-Time Control Method On Single-Phase Off-Grid Inverter Based On H6 Topology, Kun Xia, Li Jing, Ge Yue, Lirong Shen, Yiming Wang, Xu Po

Journal of System Simulation

Abstract: A novel non-dead-time control strategy based on H6 topology was proposed. Through detecting the value and direction of the output voltage and current of inductor, the power switches of bridge arm were modulated if they were in the same direction, and the freewheeling switches were modulated if they were opposite. In order to protect the DC bus voltage from shorting out, the dead time should be added during the zero-crossing of voltage and current. And the states of switches were adjusted by calculation of the control module. Then most dead time could be eliminated. The simulation model for the …

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Energy Consumption Analysis Of Discrete Manufacturing Based On Improved Principal Component Analysis Method, Chen Yan, Wang Yan Aug 2020

Energy Consumption Analysis Of Discrete Manufacturing Based On Improved Principal Component Analysis Method, Chen Yan, Wang Yan

Journal of System Simulation

Abstract: Due to the complexity of energy consumption of the discrete manufacturing system and the interaction between energy consumption indexes, the result of energy consumption analysis is hard to obtain, establishing energy efficiency evaluation index of discrete system, based on the three levels of energy consumption of products, equipment energy efficiency, the energy efficiency of task process. Furthermore, a method was proposed to analyze the discrete manufacturing process energy consumption based on improved principal component analysis method. The method introduced importance weights, overcame the shortcoming of traditional component analysis, which only emphasized the information weights, combined the subjective and …

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Precisely Algorithm And Simulation Of Plurality Of Random Deployed Circulars’ Total Coverage Area, Zhang Ye, Liu Kui, Yuzhi Chen, Junyang Liu, Jianchao Du Aug 2020

Precisely Algorithm And Simulation Of Plurality Of Random Deployed Circulars’ Total Coverage Area, Zhang Ye, Liu Kui, Yuzhi Chen, Junyang Liu, Jianchao Du

Journal of System Simulation

Abstract: A precisely algorithm of total coverage area when a plurality of circulars are random deployed and overlapping with each other is needed. The key issues of the solution are the calculating principle of the overlapping area, the differentiation and enumeration of the multi-overlapping circulars, and the calculation of the multi-shaped curved edges. Based on the inclusion-exclusion principle, overlapping area was added or subtracted to the amount area. The computer calculation process was proposed. Because the circulars are random deployed, in order to ensure the area coverage, the area cover rate problem of repeatedly deployment of the circulars were …

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Effective T2fpso-Based T2fsvm Scene Classification Algorithm, Shuqiong Xu, Conggui Yuan Aug 2020

Effective T2fpso-Based T2fsvm Scene Classification Algorithm, Shuqiong Xu, Conggui Yuan

Journal of System Simulation

Abstract: A systematic design methodology of Type-2 Fuzzy Particle Swarm Optimization (T2FPSO) based Type-2 Fuzzy Support Vector Machine (T2FSVM) classification system was proposed for scene image to improve selectivity and robustness in the machine vision. In the novel classification system, the T2FSVM model was presented to realize a comprehensive learning of the correct class and show the superiority of the generalization capability for classification problem. Furthermore, in order to improve the performance of PSO on complex uncertain environments, the type-2 fuzzy concept was incorporated to PSO to construct T2FPSO searching algorithm, in which the interval type-2 fuzzy inertia weight …

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Intelligent Effectiveness Evaluation And Optimization On Weapon System Of Systems Based On Deep Learning, Li Ni, Yuhong Li, Guanghong Gong, Xiaodong Huang Aug 2020

Intelligent Effectiveness Evaluation And Optimization On Weapon System Of Systems Based On Deep Learning, Li Ni, Yuhong Li, Guanghong Gong, Xiaodong Huang

Journal of System Simulation

Abstract: 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 …

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Research On Nodes Re-Optimization Of Microwave Relay Network, Yunjun Lu, Kebin Chen, Mengyao Han, Yiqiao Jin Aug 2020

Research On Nodes Re-Optimization Of Microwave Relay Network, Yunjun Lu, Kebin Chen, Mengyao Han, Yiqiao Jin

Journal of System Simulation

Abstract: The microwave relay network nodes are studied and the topology is optimized. Considering the link attenuation probability, node attraction coefficient and communication redundancy, the optimal link set is obtained by genetic algorithm with the idea of network topology optimization. By calculating the degree of each node in the optimal link set and sorting the node with the value of degree, the candidates of the trunk nodes are given. The microwave relay network topology given by the conventional method is optimized. The method has certain versatility. It can be applied to the selection of other network trunks and relay nodes …

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Dynamic Equivalent Modeling And Simulation Of Wind Farm Based On Asw-Fcm Algorithm, Mudan Li, Yinsong Wang Aug 2020

Dynamic Equivalent Modeling And Simulation Of Wind Farm Based On Asw-Fcm Algorithm, Mudan Li, Yinsong Wang

Journal of System Simulation

Abstract: A new dynamic equivalent modeling method is proposed for the wind farm of directly-driven wind turbine with permanent magnet synchronous generator (D-PMSG). The wake effect and wind direction change between multiple wind turbines are considered to calculate the effective input wind speed, the effective wind speed, rotor speed, pitch angle and output power are selected as the multi-group indicators after analyzing the wind turbine operating characteristics. Considering the differences and relevance of the operating conditions between the turbines, an adaptive sample weighting fuzzy C-means clustering algorithm (ASW-FCM) is designed to optimally cluster the wind farm. The clustered wind turbine …

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Modeling And Simulation On Dynamics Of Epidemic Disease Based On Social Division Of Labor, Haibin Li Aug 2020

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 …

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