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Simulation On Aircraft Infrared Exposed Range And Detection Probability, Yunfei Zhang, Mengyue Hu, Dexiong Lai, Gengjun Ma 2020 1. School of Aeronautic Science and Engineering, Beihang University, Beijing 100191, China;;

Simulation On Aircraft Infrared Exposed Range And Detection Probability, Yunfei Zhang, Mengyue Hu, Dexiong Lai, Gengjun Ma

Journal of System Simulation

Abstract: According to the infrared-detector operating range equation, the method used to simulate the infrared detection probability and exposure of an aircraft was established, with the use of atmospheric transmission rate calculation method, the critical radiation strength calculation method and the detection probability calculation method. The physical meaning of the exposed range was analyzed, and an infrared detection simulation system was established. The system could be used to assess the infrared stealth performance of an aircraft, which includes the curve of detection probability and the curve of exposed range, giving the flight route and the infrared radiation intensity distribution of …


Adaptive Minimum Entropy Blind Equalization Algorithm Based On Quantum Artificial Fish Swarm Optimization, Yecai Guo, Wu Xing, Huang Wei, Wang Hui 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, Zengliang Liu, Songlin Zhou, Tongxu Zhou 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.


Dynamic Arrival Sequencing & Scheduling Based On Branch & Bound Algorithm, Junfeng Zhang, Wang Fei, Tengteng Ge 2020 School of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;

Dynamic Arrival Sequencing & Scheduling Based On Branch & Bound Algorithm, Junfeng Zhang, Wang Fei, Tengteng Ge

Journal of System Simulation

Abstract: Optimization of arrival sequencing and scheduling is not only the prerequisite for properly allocating and fully utilizing the runway resource, but also the fundamental element for improving terminal operation efficiency. Dynamic arrival sequencing was obtained by time-triggered sliding time window method. On the basis of accurate 4D trajectory prediction, branch and bound algorithm was adopted to generate an optimal sequence, combined with the actual operation constraints. Taking Shanghai Pudong Airport as an example for simulation, the optimization results were compared with the actual landing time and simulation results based on first come first serve strategy. The results indicate that …


Research And Simulation On Trajectory Control Of Telescopic Boom Aerial Work Platform For Hull Spray Painting, Wang Xin, Lingchong Gao, Zhaoqiu Huang, Yuchen Xiao 2020 1. School of Mechanical Engineering, Dalian University of Technology, Dalian 116023, China;;

Research And Simulation On Trajectory Control Of Telescopic Boom Aerial Work Platform For Hull Spray Painting, Wang Xin, Lingchong Gao, Zhaoqiu Huang, Yuchen Xiao

Journal of System Simulation

Abstract: Telescopic boom aerial work platform, which has been widely applied in ship building field, is taken as research object. An intelligent method of spray painting, continuous spray painting along hull's contour was proposed. Correspondence between position vector of boom's top and drive-space vector was established. A path planning strategy of continuous spray painting was designed, and the variation of driving-space vector was acquired when the path was known. The trajectory control system of intelligent spray painting was modeled in Simulink environment based on the transfer function of electro-hydraulic proportional position control system. The correction link made of …


Dem Clustering Simplification Algorithm Based On Fractal Dimension, Zhang Fan, Xiaoyang Li, Liu Huan, Hu Wei, Li Wei 2020 College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China;

Dem Clustering Simplification Algorithm Based On Fractal Dimension, Zhang Fan, Xiaoyang Li, Liu Huan, Hu Wei, Li Wei

Journal of System Simulation

Abstract: Fractal is the essential characteristic of natural scenes. It can describe the irregular extent of surface topography, so it is used for digital terrain generation. As the inverse process of terrain generation, digital terrain simplification usually uses geometric properties such as curvature index as a measure to reduce the grid to improve the efficiency of electromagnetic solver calculations, flood modeling, visual simulation and other issues, while ignoring the fractal nature of the terrain features. Since a traditional simplification algorithm of DEM is difficult to identify the characteristics of complex topography, a new clustering simplification algorithm based on fractal dimension …


Simulated Training System Of Shipborne Helicopter Deck-Landing Command, Jianguo Wang, Qun E, Xiaogang Xu, Keming Yao, Xinlong Wan 2020 Dalian Navy Academy, Dalian 116018, China;

Simulated Training System Of Shipborne Helicopter Deck-Landing Command, Jianguo Wang, Qun E, Xiaogang Xu, Keming Yao, Xinlong Wan

Journal of System Simulation

Abstract: Ship borne helicopter landing on the deck is a complex and dangerous process, and the capability of the deck landing commanders has much influence to the helicopter landing safety. The environment system of ship borne helicopter deck landing was constructed, such as wave simulation, ship rocking simulation and assist deck landing lighting system. The ship borne helicopter landing simulation training system was designed and realized, including command gesture data acquisition, gesture recognition, etc. According to the characteristic of ship borne helicopter landing command, the system applied the gesture capture technology to the landing command training. The application indicates that …


Characteristics Study Of Internal Gas-Liquid Two Phase Flow Field Of Three Layers Of Air Stirred Tank Reactor, Xiaodong Hu, Dexin Zhang, Jiang Rong, Zenghui Wu, Tian Qiang 2020 1. College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao 266590, China;;

Characteristics Study Of Internal Gas-Liquid Two Phase Flow Field Of Three Layers Of Air Stirred Tank Reactor, Xiaodong Hu, Dexin Zhang, Jiang Rong, Zenghui Wu, Tian Qiang

Journal of System Simulation

Abstract: The fluid dynamics and the gas-liquid distribution character in a three-layer stirred tank reactor with 2KSX (four wide blade propeller type stirrer) and PDT (parabolic disc turbine) were analyzed with the MRE (multi-reference frame) method based on Euler-Euler and population balance models. The total and local gas-hold were calculated. The conclusions show that: axial flow was produced by double stir upper KSX with radial flow produced by the third layer of PDT, gas-hold was improved with double-upper-layer stirrers axial driven and the lowest stirrer axial driven, gas-hold increased with the stirred time going on, which would not be extended …


Novel Modeling Of Memristive Cellular Neural Network And Its Circuit Simulation, Xiaohong Zhang, Linyu Liao, Lianghua Yu 2020 School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China;

Novel Modeling Of Memristive Cellular Neural Network And Its Circuit Simulation, Xiaohong Zhang, Linyu Liao, Lianghua Yu

Journal of System Simulation

Abstract: The memristor as the fourth fundamental circuit component included along with the resistor, capacitor and inductor could simulate the storage memory function of brain neural network. A traditional three-dimensional CNN was designed, and the output function was implemented with the nonlinear characteristics of a flux-controlled memristor. The conventional electronic devices in Multisim were utilized to simulate flux-controlled memristor which simplified the output function part of the circuits. To compare with the CNN system which has chaotic behaviors, the circuits of novel memristive cellular neural network not only can show a chaos attractors phenomenon, but also the inner magnetic energy …


Trusted Modeling And Analysis Of Complex Software Systems Based On Spatial-Temporal Petri Nets, Li Gang, Longmei Han, Yongli Zhu 2020 1. School of Control and Computer Engineering, North China Electric Power University, Baoding 071003, China;;2. State Key Laboratory of Alternate Electric Power System with Renewable Energy Sources (NCEPU), Beijing 102206, China;

Trusted Modeling And Analysis Of Complex Software Systems Based On Spatial-Temporal Petri Nets, Li Gang, Longmei Han, Yongli Zhu

Journal of System Simulation

Abstract: Complexity of complex software system is not only due to the coupling correlation software itself, but also the Internet environment has great influence on the complex software system, and it has not existed independently from the external environment. Petri net uses of place and transition meet the modeling of distributed system, support concurrency and asynchronous, but the basic Petri net can't completely describe the characteristic of complex software systems with time constraints. A Petri net modeling method based on spatial and temporal was proposed. From aspects of synergetic and software behavior, constraints on the characteristics of spatial and temporal, …


Calculation Of Transformer Core Loss Based On Finite Element Coupling Algorithm, Yongqiang Wang, Zhihong Zheng, Baolong Ouyang, Jianfang Li 2020 Hebei Provincial Key Laboratory of Power Transmission Equipment Security Defense, North China Electric Power University, Baoding 071000, China;

Calculation Of Transformer Core Loss Based On Finite Element Coupling Algorithm, Yongqiang Wang, Zhihong Zheng, Baolong Ouyang, Jianfang Li

Journal of System Simulation

Abstract: In order to accurately calculate the deducting transformer core loss, on the basis of analysis on traditional finite element method and Steinmetz method, an edge-nodal coupled $E-\psi$ method was proposed to calculate the High Power High Frequency High Voltage transformer core loss. Taking a 20 kHz, 50 kV, 60 kW transformer for example, the 3D model was established to calculate the transformer core loss. By comparing the measured data of transformer core loss with the figures calculated by edge-nodal coupled $E-\psi$ method, NFEM, EFEM and Steinmetz method, the comparison results show that: the edge-nodal coupled $E-\psi$ method has higher …


Research On Scheduling Problem Of Single-Arm Cluster Tools With Residency Time Constraints, Lu Rui, Linying Li 2020 1. Liaoning Police College Academy, Dalian 116036, China;;

Research On Scheduling Problem Of Single-Arm Cluster Tools With Residency Time Constraints, Lu Rui, Linying Li

Journal of System Simulation

Abstract: Considering the scheduling model and schedulibility for single-arm cluster tools with wafer residency time constraints, a mixed- integer linear programming model with both single-arm and temporal constraints for processing module was constructed. The rationality of equivalent processing time for concurrency module was theoretically proved. Based on this, the periodic wafer processing and transportation procedure for both single-arm and processing module was analyzed. Meanwhile, the schedulibility conditions for cluster tools were proved. The simulation experiments were carried out to test the model and schedulable conditions, and the results reveal the validity and feasibility of the presented model.


Low-Complexity Soft-Decision Decoding Algorithm For Bch Code In Beidou System, Guowei Qu, Songfeng Deng 2020 1. Yantai Nanshan University, Yantai 265713, China;;

Low-Complexity Soft-Decision Decoding Algorithm For Bch Code In Beidou System, Guowei Qu, Songfeng Deng

Journal of System Simulation

Abstract: A low-complexity soft-decision decoding algorithm based on the re-encoding technique was proposed for the BCH(15,11) code in BeiDou satellite navigation system. Several candidate information sequences were constructed by the soft-decision vector and then re-encoded in the algorithm if the error in the hard-decision result was detected. The correlation between each codeword and the soft-decision vector was calculated, and the codeword with the maximum correlation value was selected as decoding output. Simulation results show that the presented algorithm outperforms traditional hard-decision decoding at the expense of moderate complexity increase. Moreover, the storage of error-correction ROM signal is avoided. …


Improved Genetic Algorithm-Based Network Game Path Selection And Simulation, Jianping Gu, Mingmin Zhang, Meiliang Wang 2020 1. Lishui University, Lishui 323000, China;;

Improved Genetic Algorithm-Based Network Game Path Selection And Simulation, Jianping Gu, Mingmin Zhang, Meiliang Wang

Journal of System Simulation

Abstract: Traditional optimal path algorithm only sets the shortest path as the target, and it does not consider the network congestion and the number of users in game area for real-time situation, thus resulting in some limitations. According to the actual circumstance of network game, network game path selection model was proposed, and the improved genetic algorithm was employed for simulation. The method pre-processed the game map to get each road weighted length value for a real-time game map, and optimization solution was obtained through the genetic algorithm. A network game path selection method based on improved genetic algorithm was …


Study On Hand Gesture Recognition And Portfolio Optimization Model Based On Svm, Zhiwei Cai, Shuyan Wu, Junfeng Song 2020 College of Engineering and Design, Lishui University, Lishui 323000, China;

Study On Hand Gesture Recognition And Portfolio Optimization Model Based On Svm, Zhiwei Cai, Shuyan Wu, Junfeng Song

Journal of System Simulation

Abstract: Hand gesture recognition was researched. The idea of extracting related features was proposed by using SVM algorithm in machine learning domain, and combination optimization method was used, which consists of ANN, HMM and DTW, to do hand gesture recognition. The experimental results show that portfolio optimization model based gesture recognition method has high accuracy and is very effective.


State Estimation Approach By Fusing Delayed Measurements And Its Application, Pengcheng Qi, Zhonggai Zhao, Liu Fei 2020 Key Laboratory of Advanced Process Control for Light Industry Ministry of Education, Jiangnan University, Wuxi 214122, China;

State Estimation Approach By Fusing Delayed Measurements And Its Application, Pengcheng Qi, Zhonggai Zhao, Liu Fei

Journal of System Simulation

Abstract: In batch processes, the key parameters were usually obtained online with low accuracy or offline with large time delay, and a state estimation algorithm was proposed to estimate the key parameters by incorporating delayed measurements with the real-time measurements. Due to the different sampling intervals of these two kinds of measurements, two cases were analyzed, including the case of only real-time measurements available and the case of both real-time and delayed measurements available. Considering the nature of nonlinearity and non-Gaussianity in batch processes, the particle filter algorithm was introduced for the state estimation, and it was further extended …


Vehicle Routing Optimization Model Of Cold Chain Logistics Based On Stochastic Demand, Xiangguo Ma, Tongjuan Liu, Pingzhe Yang, Rongfen Jiang 2020 1. Logistics School, Beijing Wuzi University, Beijing 101149, China;;

Vehicle Routing Optimization Model Of Cold Chain Logistics Based On Stochastic Demand, Xiangguo Ma, Tongjuan Liu, Pingzhe Yang, Rongfen Jiang

Journal of System Simulation

Abstract: The costs of vehicle distribution in the process of cold chain logistics is analyzed and amended; A mathematical model with mixing time window is built to balance the customers' service request with importance level; To minimize the total cost, a mathematical model which uses a factor to make balance between the stability of customer demand fluctuation and the cost increase in the assignment phase is established. Based on MATLAB software, the optical solution is found with adaptive genetic algorithm by taking the background of a distribution center to simulate and analyze.


Passive Radar Simulation And Evaluation System Based On Raw Signals, Xiaofeng Ai, Yonghu Zeng, Liandong Wang, Guangyong Zheng, Xiaoyang Wang, Manxi Wang 2020 1. State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, Luoyang 471003, China;;2. State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System,National University of Defense Technology, Changsha 410073, China;

Passive Radar Simulation And Evaluation System Based On Raw Signals, Xiaofeng Ai, Yonghu Zeng, Liandong Wang, Guangyong Zheng, Xiaoyang Wang, Manxi Wang

Journal of System Simulation

Abstract: Detection ability of the passive radar is very closely related with many factors in the real aplication. A method was proposed based on the raw data and the dynamic characteristics of a specific target. In this method, the reference and the surveillance channels' signals were obtained through the actual passive radar receiving system. The direct-path signal was reconstructed by using the reference signal. The target echo was obtained by modulating the direct-path signal with the echo power, delay and Doppler parameters, which was calculated with the move and scattering characteristics of target. Adding the target echo to surveillance channel, …


Simulation Research On Wireless Power Transmission System Of Cardiac Pacemaker Based On Magnetic Resonance, Xiuquan Liu, Yanhong Li, Huang Ping 2020 1. School of Mechanical and Electronic, Guangzhou Panyu Polytechnic, Guangzhou 511483, China;;

Simulation Research On Wireless Power Transmission System Of Cardiac Pacemaker Based On Magnetic Resonance, Xiuquan Liu, Yanhong Li, Huang Ping

Journal of System Simulation

Abstract: Aiming at disadvantages of the battery limited supply time of the implantable cardiac pacemaker and the actual application of electromagnetic induction wireless power transmission (WPT) system, the resonant WPT technology was proposed. The basic working principle of a WPT system of the implantable cardiac pacemaker was introduced. Based on Magnetic resonance coupling and mutual inductance calculation model, the mathematics models of the WPT system of the cardiac pacemaker were established. By the accurate formulae of the mutual inductance of the primary and secondary coreless coils, the influences of the parameters, such as the axial distance, radial offset and coli …


Phy Security Transmission Based On Antenna Selection And Artificial Noise, Deng Dan, Wang Wei, Zhao Ming 2020 1. Guangzhou Panyu Polytechnic, Guangzhou 511483, China;;

Phy Security Transmission Based On Antenna Selection And Artificial Noise, Deng Dan, Wang Wei, Zhao Ming

Journal of System Simulation

Abstract: A physical-layer security enhancement scheme based on antenna selection and artificial noise (ASAN) was proposed. In broadcast phase, the Relay node selected the optimal antenna subset, and transmitted the beamforming matrix and artificial noise vector simultaneously. Simulation results show that the ASAN scheme outperforms classical beamforming scheme. Compared with beamforming scheme, the proposed scheme shows about 2.5dB gain in ergodic secrecy capacity when antenna number of Relay is three, and 3dB gain when the antenna number is six. Specifically, the combined selection criterion shows the similar curve compared with the one-direction criterion, in which the Relay only needs the …


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