Visualization Analysis Method Of Passenger Hotspot Based On Fast Density Clustering,
2019
1. College of Computer and Software Engineering, Huaiyin Institute of Technology, Huaian 223001, China; ;
Visualization Analysis Method Of Passenger Hotspot Based On Fast Density Clustering, Zihe Huang, Shangbing Gao, Zhigeng Pan, Hui Hao, Qiyu Liao, Fengfeng Zhao
Journal of System Simulation
Abstract: With the development of urbanized transportation, the perceptual computing plays an important role in smart cities. Aiming at the problem that the traditional density clustering algorithm cannot adapt to massive taxi GPS trajectory data and visualization, the BCS-DBSCAN (Big-Data Cluster Center Statistics Density-Based Spatial Clustering of Applications with Noise) clustering algorithm is proposed. The algorithm can segment and parallelize the trajectory data, extract the maximum density cluster, and adapt the result to the visualization model. The experimental results show that compared with other popular methods, this method has significant advantages in extracting clustering speed, accuracy and visualization of urban …
Cooperative Control Technology Of Networked Autonomous Driving Vehicle Based On Delay Compensation,
2019
1. Hubei University of Automotive Technology, Research Center of Active Safety and Intelligent Driving, Shiyan 442000, China; ;
Cooperative Control Technology Of Networked Autonomous Driving Vehicle Based On Delay Compensation, Zhengze Zhu, Haiying Zhou, Yongzhi Fu, Zhou Kui, Sishan Wang, Jiayuan Gong, Sihao Deng, Kunming Hou
Journal of System Simulation
Abstract: In view of the disordered and lost packets problems in intelligent transportation system, this paper studies the cooperative control technology of autonomous driving vehicle and proposes an autonomous platoon-driving model based on Zero Order Hold (ZOH) information processing mechanism. A dedicated nonlinear state estimation algorithm is used to compensate for the delay so the platoon-driving model remains valid under the complex vehicle driving environments. A real autonomous driving platoon is tested in a vehicle proving ground for cooperative driving. The analysis of the experimental data and simulation results based on the real networked autonomous driving system verified the stability, …
Numerical Simulation Of Steady Flow Performance Of Venturi Tube Based On Fluent,
2019
College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao 266590, China;
Numerical Simulation Of Steady Flow Performance Of Venturi Tube Based On Fluent, Fuyu Liu, Xiaodong Hu, Zhixi Liang, Qinglei Liu
Journal of System Simulation
Abstract: The cavitation flow performances of a given Venturi tube were studied to get the steady flow curve and predict the cavitation region based on the realizable k-ε turbulence model and Zwart (Zwart-Gerber-Belamri) cavitation model under the designed conditions with FLUENT software. The throat diameters D of the Venturi tube were chosen as 3mm, 5mm, 7mm and 9mm respectively; and the distances L between the throat and the entrance were 60mm,40mm and 20mm respectively. It can be concluded that: (1) The phenomenon of hydraulic cavitation is the main reason for the steady flow of Venturi tubes; (2) Throat diameter affects …
Research On Hwil Simulation Of Rf/Ir Dual-Mode Sensors Based On Compact Antenna,
2019
1. Science and Technology on Special System Simulation Laboratory, Beijing Simulation Center, Beijing 100854, China; ;
Research On Hwil Simulation Of Rf/Ir Dual-Mode Sensors Based On Compact Antenna, Gao Yang, Ma Jing, Huiyang Qu, Qun Wei, Jindong Fei
Journal of System Simulation
Abstract: The advent of RF/IR dual-mode sensor technology in the more and more completed detecting environment has led to the requirement of simulation tools that are necessary to test dual-mode sensor. The hardware-in-the-loop simulation experiment and test of the radio frequency/infrared composite sensor are carried out.A RF/IR dual-mode simulation method based on the Compact antenna test ranges is proposed here. This system consists of IR simulator, RF simulator, beam-combiner etc. The testing result shows that RF/IR dual-mode simulation system has abilities of IR transmission and RF reflection, and could be used in RF/IR dual-mode sensor simulation.
Temperature Field Simulation Analysis Of Common Rail Injector Based On Multi-Field Coupling,
2019
1. Key Laboratory of Efficient Utilization of Low and Medium Grade Energy, Ministry of Education, Tianjin University, Tianjin 300350, China; ;
Temperature Field Simulation Analysis Of Common Rail Injector Based On Multi-Field Coupling, Yutao Chen, Zuoqun Wang, Zhengwei Long, Mingrui Zhang, Qingsong An, Guibing Chen
Journal of System Simulation
Abstract: The reliability of high pressure common rail injector depends on the calculation accuracy of its temperature changing. Due to the temperature measurement limitation and difficulty, in order to obtain more detailed temperature distribution, a coupling physical model is established in this paper based on multi-fields coupling analysis method, and a method based on the uni-directional coupling for calculating the temperature distribution of injector accurately is developed. The results show that the convective heat transfer coefficient varies with the flow state and the multi-field coupling method can correct the convective heat transfer coefficient according to the flow state automatically, which …
Chaotic Time Series Prediction Based On Gaussian Processes Mixture,
2019
1. School of Computer and Information Engineering, Anyang Normal University, Anyang 455000, China; ;
Chaotic Time Series Prediction Based On Gaussian Processes Mixture, Zhenjie Feng, Fan Yu
Journal of System Simulation
Abstract: Aiming at the problem that the existing learning algorithms of Gaussian processes mixture (GPM) model, such as Markov Chain Monte Carlo (MCMC), variation or leave one out, have high computational complexity, a hidden variables posterior hard-cut iterative training algorithm is proposed, which simplifies the training process of the model. The GPM model based on the proposed algorithm is applied to chaotic time series prediction. The effects of embedding dimension, time delay, learning sample number, and testing sample numbers on predictive ability are discussed. It is demonstrated by the experimental results that the prediction of the GPM model is more …
Virtual Scene Roaming Method Supporting Multi-Layer Path Planning,
2019
1. School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China; ;
Virtual Scene Roaming Method Supporting Multi-Layer Path Planning, Shi Min, Yukun Wei, Xiangchen Jin, Suqin Wang, Tianlu Mao
Journal of System Simulation
Abstract: Taking the automatic role pathfinding in three-dimensional virtual scene as the research background, the author proposes a method of multi-layer pathfinding based on A-star algorithm, and uses advanced heuristic functions to evaluate the cost values of various expansion nodes to confirm the optimal solution to the problems. By introducing collision detection mechanism, the navigation path generated by the improved A* algorithm is modified to avoid collision; and by interpolating the fixed path, the smooth navigation path is constructed using Bézier Curve. The experimental results show that the path finding results can well adapt to the multi-layer case when the …
Personalized Music Recommendation Algorithm Tfpmf,
2019
College of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, China;
Personalized Music Recommendation Algorithm Tfpmf, Xining Ye, Wang Meng
Journal of System Simulation
Abstract: In recent years, the personalized context-aware recommendation is the rub and hotness in the research of recommendation system, and the data sparseness is the main problem faced by the current recommendation systems. In the setting of music recommendation, the representing method of varieties of situational information is improved. A model of TFPMF is proposed, which combines the model of RR-PMF with the tensor decomposition. TFPMF is optimized by alternative least squares (ALS). By the simulation experiments in the last.fm dataset, we got the TOP-N recommended list through the simulation program. The simulation results show that the proposed algorithm has …
Pulse Signal Detection Based On Dual Extended Duffing Oscillators,
2019
Department of Telecommunications, Nanjing College of Information Technology, Nanjing 210023, China;
Pulse Signal Detection Based On Dual Extended Duffing Oscillators, Wenmao Luo
Journal of System Simulation
Abstract: Because the chaotic oscillator can detect signal under lower SNR than the usual signal detection methods, it has been widely studied. In order to extend the application range of the existing chaotic oscillator to aperiodic pulse signal detection, a detection method based on dual Duffing oscillator is proposed. The method uses the difference between the state variables of two generalized time scale Duffing oscillators to detect signal. By selecting the system parameters rationally, the method can detect aperiodic square pulse while the SNR is as low as -30 dB, and detect signals at lower SNR than existing methods. …
Dynamic Shadow Detection And Tracking Of Online Video From Mobile View,
2019
1. National Key Laboratory of Fundamental Science on Synthetic Vision, Sichuan University, Chengdu 610065, China; ;
Dynamic Shadow Detection And Tracking Of Online Video From Mobile View, Youpeng Zhang, Wang Chun, Yanli Liu
Journal of System Simulation
Abstract: A shadow edge detection and tracking framework based on optical flow tracking in outdoor scenes is proposed. The SVM is trained by using the edge information features extracted from the known results; the optical flow tracking is performed on the two frames before and after; and the SVM model is used to identify the points corresponding to the shadow features from the neighborhood Canny confidence edges of the unstable tracking points. A method for dynamically updating the SVM is designed for the new material problem of the scene caused by the viewpoint movement. The complexity of the shadow projection …
Surgery Simulation Of Internal Fixation For Compression Fractures,
2019
Department of Computer Science and Technology, Ocean University of China, Qingdao 266100, China;
Surgery Simulation Of Internal Fixation For Compression Fractures, Xie Cui, Junmei Geng, Li Jian, Junyu Dong
Journal of System Simulation
Abstract: Virtual surgery simulation provides new means for medical surgery training with realism and immersion. A virtual surgery simulation of internal fixation for compression fractures is designed and implemented. By constructing 3D surgical scene, making deformation animation, adopting multi-level colliders combination and switching method for collision detection, and designing a multi-factors force feedback model to compute the tactile force and mapping the values to the different levels of vibration intensity of the HTC handle, combining with voice guidance and UI visual feedback, a visual, audible and tactile multi-channel surgical experience can be obtained. The system provides a guiding training module …
Research On Physical Simulation Method Of Micro-Doppler Effect Of Laser Scattering Echo,
2019
1. Technology on Special System Simulation Laboratory, Beijing Simulation Center Science, Beijing 100854, China; ;2.The Institute of Technological Sciences, Wuhan University, Wuhan 430072, China; ;
Research On Physical Simulation Method Of Micro-Doppler Effect Of Laser Scattering Echo, Du Jian, Zhang Xing, Hongming Zhao, Gao Yang, Cao Qiang, Xinlan Zhang
Journal of System Simulation
Abstract: In order to realize the physical simulation of the micro-Doppler effect of laser detection echo, a mathematical model of micro-Doppler effect for single-point motion is established. Two physics simulation methods for laser scattering echo micro-Doppler effect based on controllable vibrator and acousto-optical modulator are proposed, and two experiment systems are set up. The experimental results show that the two methods can achieve the modulation of laser wave echo. The advantage of the simulation scheme based on controllable vibration is that the simulation results are closer to the actual situation, but the frequency modulation range is smaller, while the …
Simulation And Analysis On The Moving Performance Of Quiet Zone On Compact Antenna Test Range,
2019
1. Guilin University Of Electronic Technology, Guilin 541004, China; ;
Simulation And Analysis On The Moving Performance Of Quiet Zone On Compact Antenna Test Range, Liwei Guo, Simin Li, Ma Jing, Peng Lin, Jiang Xing
Journal of System Simulation
Abstract: Compact Antenna Test Range (CATR) is an important equipment for Radar-Cross Section test. In order to generate an approximate Uniform Plane Wave (UPW) illuminating environmentand satisfy far field conditions of antenna measurement, the quiet zone scanning of the compact antenna test range is studied by controlling the phase of the array feeding. When the three-tuple array feed and the 2×2 array feed are simulated and only phase changes, the array feed beam scanning is controlled to realize the quiet zone scanning characteristics.The movement characteristics of the quiet zone for the compact antenna test range is analyzed. The movement of …
Study On Model And Accumulation Rule For Departure Check-In Queues,
2019
1. School of Electronic Information and Automation, Civil Aviation University Of China, Tianjin 300300, China; ;
Study On Model And Accumulation Rule For Departure Check-In Queues, Zhiwei Xing, Junxian Jiang, Luo Xiao, Luo Qian, Yang Yang
Journal of System Simulation
Abstract: The aggregation rule of departure passengers in the terminal building is studied in combination with human behavior dynamics. Based on this, the change rule of queuing length of departing passengers on non-full-open check-in island is studied. The queuing process is discretized by introducing the concept of time series, and the queue length Markov Chain is obtained in the serpentine queuing form. Then, the aggregation rate of each time series is predicted by the single-flight departure passenger aggregation model. By selecting the appropriate value of the check-in counter service rate, the check-in queuing length model of multiple adjacent flights is …
Gpr Modeling Method Based On Kernel Slow Feature Analysis And Time Delay Estimation,
2019
1. College of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China; ;
Gpr Modeling Method Based On Kernel Slow Feature Analysis And Time Delay Estimation, Huilai Peng, Weili Xiong
Journal of System Simulation
Abstract: A Gaussian process regression modeling method based on kernel slow feature analysis is proposed to deal with the time delay and nonlinear characteristics in industrial processes. The time delay in the industrial data is effectively extracted by fuzzy curve analysis and the optimal time-delay in the data is obtained. The model data is reconstructed based on the optimal delay. The method of kernel slow feature analysis is used to extract the nonlinear features of the reconstructed data. The Gaussian process regression model is established based on the extracted features. The effectiveness and performance of the method are verified by …
Simulation And Experiment Of Friction Modeling And Compensation Of Scara,
2019
College of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou 510000, China;
Simulation And Experiment Of Friction Modeling And Compensation Of Scara, Li Lin, Yanlong Lin, Yanbiao Zou
Journal of System Simulation
Abstract: Due to the friction of joints, the localization accuracy of Scara robot is deteriorated. To deal with this problem, the friction of robot joints is modeled, identified and compensated. A method of identifying the friction force of robot working in limited working space is proposed. The Lugre friction model is used to describe the joint friction of the robots. By allowing the robot to track the sinusoidal curve, the relationship between the friction torque and the joint velocity is established, and the friction parameters are identified. The adaptive control method is proposed to control the robot. The experiment and …
Flow Stability Of Hunt Flow Under Low-Intensity Magnetic Field,
2019
School of Energy Power and Mechanical Engineering, North China Electric Power University, Baoding 071003, China;
Flow Stability Of Hunt Flow Under Low-Intensity Magnetic Field, Dong Shuai, Li Shuang, Xuemin Ye
Journal of System Simulation
Abstract: The stability of conducting fluid flow in ducts under magnetic field is vital to materials preparation and the design and operation of thermonuclear fusion cooling system. A model of MHD duct flow which is known as Hunt’s flow is simulated by non-normal mode stability analysis in this study.. The amplification and distribution of optimal primary perturbations are obtained by solving iteratively the direct and adjoint governing equations with respect of the perturbation variables. Four modes of perturbations with different symmetries in the space are considered, and the effect of the low-intensity magnetic field is also taken into …
Simulation Research On Operation Effect Of Vav Air-Conditioning System With Variable Water Temperature Strategy,
2019
1. School of Civil Engineering, Chang’an University, Xi’an 710061, China;; ;2. School of Environmental Science and Engineering, Chang’an University, Xi’an 710054, China;; ;
Simulation Research On Operation Effect Of Vav Air-Conditioning System With Variable Water Temperature Strategy, Qinglong Meng, Zhibo Zhang, Xiong Cheng
Journal of System Simulation
Abstract: Aiming at the problem of coordinated operation between VAV (variable air volume) and variable water temperature in central air conditioning system, a TRNSYS dynamic simulation model of air conditioning system with adjustable air supply and water supply temperature is established, and the accuracy of the model is proved by experiments. By controlling the terminal air volume to simulate the effect of variable water temperature operation on the air conditioning system under different load rates, the optimal water supply temperature of the air conditioning system under different load rates is obtained, and the variable water temperature operation strategy of the …
Synthetic Aperture Ultrasonic Imaging Algorithm Based On Robust Capon Beamforming In Eigenspace,
2019
1. College of Electronic and Information Engineering, 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;;
Synthetic Aperture Ultrasonic Imaging Algorithm Based On Robust Capon Beamforming In Eigenspace, Yecai Guo, Xiaoxing Ji
Journal of System Simulation
Abstract: In order to lower the main lobe width and side lobe amplitude of SAF beams ,improve the robustness of ultrasound imaging algorithm, resolution, contrast in images, a synthetic aperture ultrasonic imaging algorithm based on robust Capon beamforming in eigenspace is proposed. Under the principle of MV, this algorithm firstly uses the Toeplitz to realize the reconstruction of the interference-noise covariance matrix and keep it nonsingular. Secondly, the vector error is constrained by the signal subspace and the elliptic constraint set in feature space. Finally, the optimal weight vector which is used to weight and image the echo data is …
Differential Evolution Quantum Particle Swarm Optimization For Parameter Estimation Of Fractional-Order Chaotic System,
2019
1. Hebei Engineering Research Center of Simulation & Optimized Control for Power Generation, North China Electric Power University, Baoding 071003, China;; ;
Differential Evolution Quantum Particle Swarm Optimization For Parameter Estimation Of Fractional-Order Chaotic System, Dong Ze, Ma Ning
Journal of System Simulation
Abstract: In order to accurately estimate the unknown parameters for fractional order chaotic systems, a quantum particle swarm optimization algorithm based on differential quantum properties is proposed. On the basis of quantum behaved particle swarm optimization, variation, crossover and selection operation are utilized by particles, which can better keep the diversity of the particles in the population, avoiding the local optimum in the later phase of the iteration. The multi-neighborhood local search strategy is used for particles’ local search to improve search precision. Standard test functions are used to test the algorithm, and the test results show that the …
