Compressed-Sensing Based Up-Sampling Method For Fluid Simulation,
2020
School of Software, Shanghai Jiao Tong University, Shanghai 200240, China;
Compressed-Sensing Based Up-Sampling Method For Fluid Simulation, Yijing Qian, Xubo Yang
Journal of System Simulation
Abstract: In computer fluid animation, the grid-based Euler method is a well-matured and effective way of simulating fluids, but a key bottleneck of Euler method is that it is limited to the traditional Nyquist-Shannon sampling theorem in sampling step. So it cannot effectively reduce the massive data and computing of the large-scale flow fields. In order to solve this problem, compressed sensing theory was used to probe a way to break through the limitation of the sampling theorem in fluid simulation. The sparsity and compressibility of fluid data were explored, then applicable sampling function, compressive basis and reconstruction algorithm for …
Modeling Research On Dynamic Pressure Distribution Of Pilot Body In Maneuver Flight,
2020
Department of Automobile and Mechanical Engineering, Changchun University of Science and Technology, Changchun 130600, China;
Modeling Research On Dynamic Pressure Distribution Of Pilot Body In Maneuver Flight, Liu Gang, Yunpu Wang, Hongwei Chi, Hongyin Yuan
Journal of System Simulation
Abstract: Relationship between dynamic surface forces distribution of pilot body and flight load in maneuver flight was studied. Dynamic surface pressure and shear distribution of pilot body seated posture were expressed by setting up dynamic pressure factor and dynamic shear factor. Flight kinetic equations of pilot body seated posture were established. In the equations, relationship between pilot body inertia forces and dynamic surface forces were given, and the equations are square nonlinear for dynamic pressure factor and shear factor. Finally an example for climbing turn maneuver flight of some aircraft was done, dynamic surface forces distribution of pilot …
Numerical Simulation Of Hot And Cold Fluids Mixing In A Tee-Junction,
2020
Institute of Hydraulic Engineering, Xian University of Technology, Xi'an 710048, China;
Numerical Simulation Of Hot And Cold Fluids Mixing In A Tee-Junction, Wenli Wei, Yunfei Hong, Shipeng Shao, Yuling Liu
Journal of System Simulation
Abstract: Flow and heat transfer model in tee junction was established and the 3D RNG k-ε turbulence model was completed to simulate the process of mixing and capture the information of velocity and temperature. The simulation results and measured data of the mean value of velocity and temperature were analyzed and compared, and are in a good agreement, which indicates that the RNG k-ε model combined with the heat transfer model can well simulate the hydraulic characteristics and heat transfer mechanism of hot and cold fluids in a tee junction. Furthermore, the upstream segment of a tee junction has two …
Research On Methods For Transformation Of Declarative Model For Semi-Physical Simulation,
2020
1. National CAD Support Software Engineering Research Center, HUST, Wuhan 430074, China; ;
Research On Methods For Transformation Of Declarative Model For Semi-Physical Simulation, Weijian Huang, Jianwan Ding, Liping Chen, Zhaoyuan Zhou
Journal of System Simulation
Abstract: A new method for the transformation from the declarative model to the model for semi-physical simulation was proposed aiming at semi-physical simulation. By analyzing the mathematical form of the declarative model and the model for semi-physical simulation, based on bipartite graph, the mathematical form of declarative model to the mathematical form of the model for semi-physical simulation was transformed through decomposition based on bipartite graph and tearing the algebraic loop, using clutch model as the model transformation examples. The declarative model transforming idea has overcome the disadvantages of process modeling method such as considering the causality, difficult …
Numerical Simulation About Fuel Injection Source Location Impacting On Turbulent Combustion Process,
2020
1. Faculty of Science, Kunming University of Science and Technology, Kunming 650500 China; ;
Numerical Simulation About Fuel Injection Source Location Impacting On Turbulent Combustion Process, Sun Hui, Guangcheng Cai, Jiang Lin, Shibo Wang
Journal of System Simulation
Abstract: Fuel injection source location has very important influence on combustion process. It determines the location of the furnace flame. The three dimensional model of the furnace was established by the numerical simulation method. Under different conditions, the fuel injection source location on the temperature field within the furnace, the pollutant concentration field, and the flow field distribution inside the furnace combustion process were investigated. The results were compared and analyzed. After analysis, the results show that the fuel injection source location from 1.1 ~ 1.5 meter process of change, the average temperature within the furnace continue to rise, the …
Image Saliency Analysis Based On Grey Relational Computation And Prior Combination,
2020
1. CAD Research Center of College of Electronics & Information, TongJi University, Shanghai 201804, China; ;2. College of Computer & Information, JiangXi Agriculture Universtiy, Nanchang 330027, China;
Image Saliency Analysis Based On Grey Relational Computation And Prior Combination, Qiangqiang Zhou, Zhicheng Wang, Weidong Zhao, Yufei Chen, Wang Gang
Journal of System Simulation
Abstract: An image saliency analysis method based on the combination of grey relational computation and prior knowledge, which is a saliency computation and integration based on three different priori of boundary background, global color distribution and top salient information. The SLIC method segment the image into superpixels, then selecting the boundary superpixels on four image sides respectively to construct the reference sequence, and the same method used to construct the comparative sequence of the rest superpixels. Then four initial saliency images was derived based on boundary background priori through a grey relational computation, to make weighted and …
Adaptive Multichannel Double L-Shaped Microphone Array Sound Source Localization Algorithm,
2020
1. Jiangsu Key Laboratory of Meteorological Observation and Information Processing, Nanjing University of Information Science and Technology, Nanjing 210044, China; ;2. Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment, Nanjing 210044, China;
Adaptive Multichannel Double L-Shaped Microphone Array Sound Source Localization Algorithm, Yecai Guo, Sainan Zhu, Zhang Ning
Journal of System Simulation
Abstract: Aiming at the lack of ability to resist noise and reverberation and the location estimation low accuracy for the sound source localization method based on microphone array in the indoor sound environments, a sound source localization algorithm based on adaptive multichannel double L-shaped microphone array was proposed. In this proposed algorithm, normalized multichannel frequency-domain least mean square algorithm was used to estimate the impulse responses of different array elements and acquire the time delay under condition of the single source and multiple reverberation model, the spectrum energy was modified by penalty function to improve the ability to suppress noise …
Cqpso Algorithm Based Control System Parameter Optimization,
2020
Hebei Engineering Research Center of Simulation Optimized Control for Power Generation,North China Electric Power University, Baoding 071003, China;
Cqpso Algorithm Based Control System Parameter Optimization, Genyuan Wei, Xinqiang Feng, Han Pu
Journal of System Simulation
Abstract: According to the shortcomings of optimization methods of control system parameters, and the result of PSO algorithm usually falling into the partial optimum, Chaos Search and Quantum Space Search were added to the PSO algorithm, constituting the Chaos Quantum Particle Swarm Optimization algorithm, which was applied to the typical thermal control system parameters optimization. Introducing the selection of object functions of control system parameter optimization, describing the CQPSO algorithm process, the CQPSO algorithm was tested and analyzed through multiple test functions. The result shows that, compared with PSO and CPSO algorithm, CQPSO algorithm makes the particle swarm get out …
Perception Factors Analysis Of Command Information Process Based On System Dynamics,
2020
Xi'an communications Institute, Xi'an 710106, China;
Perception Factors Analysis Of Command Information Process Based On System Dynamics, Pubing Shen, Gao Kai, Weiwei Zhao
Journal of System Simulation
Abstract: The major aspects of operational command processes were investigated and the key factors that influenced the operation process were analyzed. The confront model of command information process was constructed based on Information Age Combat Model (IACM) by the system dynamics theory and modeling methods. Through the experiment, major factors of perceptual element in the model were simulated and statistically analyzed. An inverse linear relationship of attack forces in both sides was found to be existed. These were verified by the experiment and combat capacity could be improved by increasing the number of perception nodes and rate of information collection …
Risk Analysis Of Passenger Car Moving On Curved Sections Based On Sideslip Microscopic Simulation,
2020
1. Key Laboratory of Special Area Highway Engineering of Ministry of Education, Chang'an University, Xi'an 710064, China; ;2. CCCC First Highway Consultants Co., LTD, Xi'an 710075, China; ;
Risk Analysis Of Passenger Car Moving On Curved Sections Based On Sideslip Microscopic Simulation, Zhang Chi, Dongjian Shao, Zhang Min
Journal of System Simulation
Abstract: In consideration of rainfall and over-speeding, the risk of passenger car moving on curved sections was analyzed synthetically. The simulation model of the dynamic characteristic of passenger car was established using Carsim, the critical adhesion coefficient was used as the evaluation index of passenger car moving risk, and the evaluation model of passenger car moving on curved sections was established using Matlab. The results show that under the situation of design speed 80km/h, when driving speed exceeds 96km/h, the risk probability of passenger car moving on rainfall curved sections exceeds 48.40%; when the rainfall intensity is bigger than …
Estimation Of Contamination Source By Using Qpso With Perturbation Operator,
2020
1. School of Tianjiabing Educational Sciences, Jiangnan University, Wuxi 214122, China; ;2. Institute of Electrical Automation, Jiangnan University, Wuxi 214122, China;
Estimation Of Contamination Source By Using Qpso With Perturbation Operator, Tian Na, Zhicheng Ji
Journal of System Simulation
Abstract: An improved quantum-behaved particle swarm optimization (QPSO) with perturbation operator was proposed and applied to solve the convection-diffusion inverse problem of estimating time-varying contamination source. Because the contamination source is time-dependent, the inverse problems are classified into function estimation problem. To transform the inverse problem to optimization problem, the nonlinear least square method was used. Meanwhile, Tikhonov regularization was used to stablize the solution with noisy measured data. And the regularization parameter was chosen by L-curve method. The simulation results tell that QPSO with perturbation operator outperforms QPSO and PSO. Moreover, tests over different views (regularization terms, noise level, …
Robust Coordinated Motion Control Of Free-Floating Space Robot With Flexible-Link And Flexible-Joints,
2020
School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350116, China;
Robust Coordinated Motion Control Of Free-Floating Space Robot With Flexible-Link And Flexible-Joints, Xiaoyan Yu, Chen Li
Journal of System Simulation
Abstract: Robust coordinated motion control and vibration hierarchical suppression of a free-floating space robot with one flexible link and two elastic revolute joints was proposed. The dynamical Lagrange equation was established by the momentum conservation. A singularly perturbed model was formulated, which consists of a slow subsystem and two fast subsystems. Based on the singularly perturbed model, a reduced-order controller was proposed, which consists of a robust slow control component and two fast control components. The virtue of this control scheme is that the linear position, linear velocity, linear acceleration of the base needn’t be measured directly. …
Protocol Algorithm Design Of Location Privacy Preserving For Sink Node Based On Security Area,
2020
Network Information Center of Henan University of Science and Technology, Luoyang 471003, China;
Protocol Algorithm Design Of Location Privacy Preserving For Sink Node Based On Security Area, Peiyu Li, Zhixue Zhang
Journal of System Simulation
Abstract: In view of problems appear in location privacy protection for sink node of wireless sensor networks, a location privacy preserving routing algorithm for sink node based on security area was proposed. This protocol protected location privacy of sink node through methods such as sending real package or fake package probabilistic from safe area to unsafe area and forming a circular sink area around the sink node. Performance evaluation was compared between this proposed dynamic routing algorithm and existing one. Network simulation results show that the routing algorithm has advantages such as low energy consumption, small network delay, and …
Energy Saving Control Research On Mine Drainage System Based On Model Predictive Control,
2020
Faculty of Electrical and Control Engineering, Liaoning Technical University, Huludao 125105, China;
Energy Saving Control Research On Mine Drainage System Based On Model Predictive Control, Zhiling Ren, Jiahao Han
Journal of System Simulation
Abstract: Grey model of water inflow in tunnel and time with measuring data and economic model was established after analysis for energy conservation issue of mine drainage system. Using model predictive control, a coal mines pumping water pump scheduling in non-peak periods was establish, executing the simulation of the gray model based on model predictive control and predicting the water inflow at times of peak demand in morning and evening. A load shifting schedule for system was formulated. The result show that the pump scheduling established in non-peak periods based on model predictive control can reduce the cost of electricity …
Numerical Simulation And Experimental Study Of Three-Dimensional Flow Field On Roots-Type Power Machine Based On Dynamic Mesh Technique,
2020
School of Mechanical Engineering, Hebei University of Technology, Tianjin 300130, China;
Numerical Simulation And Experimental Study Of Three-Dimensional Flow Field On Roots-Type Power Machine Based On Dynamic Mesh Technique, Yanjun Xiao, Yuxiang Liu, Dayuan Wang, Feng Hua, Chunxia Li
Journal of System Simulation
Abstract: A new roots-type power machine was recommended. As for it, the working fluid of low pressure waste heat according was simulated to both the different operating conditions and the different intake and exhaust pressure and flow, and the changing process of internal flow field over time period using dynamic mesh technique was simulated when the power machine was in rotating work. The pressure field, velocity field and mass flow rate with the simulation results were analyzed, thus reaching the optimum operating conditions and the key parameters of the roots-type power machine. A test platform and conducted field tests was …
Ontology Based Devs Modeling Method,
2020
Institute of Cyber-Systems and Control, State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, China;
Ontology Based Devs Modeling Method, Rong Gang, Xiao Jun, Yunping Hu, Yiping Feng
Journal of System Simulation
Abstract: In the field of modeling and simulation, it’s difficult to reuse the models because the models and simulation system are coupled seriously. The Ontology-driven modeling theory is a simulation modeling methodology for model reuse. A new DEVS modeling method was proposed based on this theory. The DEVS modeling ontology DEVSMO was built and the DEVS model could be described as the instance of the DEVSMO. This form of DEVS model was independent of the DEVS simulation environment, which improved the model reusability. A tool was developed to translate the DEVSMO instance to DEVS executable models to verify the …
Simulation Research On Impact Of Consumer Bounded Rationality On Optimal Pricing Strategy In Supply Chain,
2020
1. School of Business Administration, South China University of Technology, Guangzhou 510640, China; ;
Simulation Research On Impact Of Consumer Bounded Rationality On Optimal Pricing Strategy In Supply Chain, Li Feng, Wei Ying
Journal of System Simulation
Abstract: Noticing increasing market responses to online sales channel, the impact of bounded rationality of consumer on pricing strategy was studied in a dual-channel supply chain system, which consists of one manufacturer and one retailer. A multiple-agent based modeling and simulation approach was proposed and employed. In a Stackelberg game setting with the manufacturer the leader, optimal pricing decisions were calculated from the simulation model. Impacts of consumer behavior parameters on channel prices and sales revenue were analyzed, i.e., degree of consumer bounded rationality, consumer’s acceptance of online channel, as well as consumer’s valuation distribution to the product. Results …
Modeling And Scheduling Of Reentrant Automatic Assembly Equipment Based On Cpn Tools,
2020
1. School of Automation Science and Control Engineering, South China University of Technology, Guangzhou 510640, China; ;2. Engineering Research Centre for Precision Electronic Manufacturing Equipment of Ministry of Education,South China University of Technology, Guangzhou 510640, China;
Modeling And Scheduling Of Reentrant Automatic Assembly Equipment Based On Cpn Tools, Zhang Mei, Guangsen Chen, You Jia
Journal of System Simulation
Abstract: The idea about treating automatic immunoassay detection equipment as a reentrant dual-armed automatic assembly equipment was brought forward. Using timed colored Petri nets (TCPN) to model the equipment according to its detection, the performance of model and simulation experiment were evaluated. To optimize the detection process, DPC dynamic feeding strategy and LSPON, FIFO scheduling strategy were designed. Based on that, a hybrid control strategy was proposed to schedule the model more efficiently. Batch-detecting projects of different scale examples were scheduled on the platform of CPN tools according to the strategies above. The simulation results illustrate the reasonability and feasibility …
Improved Quantum-Behaved Particle Swarm Optimization For Solving Multi-Objective Flexible Job-Shop Scheduling Problems,
2020
1. Institute of Educational Informatization, Jiangnan University, Wuxi 214122, China; ;2. Institute of Electrical Automation, Jiangnan University, Wuxi 214122, China;
Improved Quantum-Behaved Particle Swarm Optimization For Solving Multi-Objective Flexible Job-Shop Scheduling Problems, Tian Na, Zhicheng Ji
Journal of System Simulation
Abstract: Due to the complexity of flexible job-shop scheduling problem (FJSP), it is still the hot topic for research. FJSP was given deep insight into with three objectives to be minimized simultaneously: makespan, maximal machine workload and total workload. Quantum-behaved particle swarm optimization (QPSO) with different coefficient selection methods was compared. The benchmark function tests show that QPSO with adaptive coefficient outperforms other selection methods in unimodal functions, while QPSO with cosine coefficient performs better in multi-modal functions. Therefore, QPSO with cosine decreasing coefficient is adopted to solve the multi-objective FJSP, which is a complex multi-modal optimization problem. Simulation results …
Study Of Adaptive Dynamic Search Pso Based Svm Parameter Optimization,
2020
Institute of Electrical Automation, Jiangnan University, Wuxi 214122, China;
Study Of Adaptive Dynamic Search Pso Based Svm Parameter Optimization, Chunneng Gao, Zhang Biao, Zhicheng Ji
Journal of System Simulation
Abstract: According to critical control points (CCPs) selection problem in wheat processing HACCP (hazard analysis and critical control point), an automatic identification method based on SVM model was introduced. In order to improve the model’s recognition stability and accuracy, an adaptive dynamic search particle swarm optimization (ADS-PSO) for the optimization of kernel function parameters in SVM was proposed. ADS-PSO introduced an evolutionary factor and threshold (ET) to estimate the evolutionary state and adjusted the search strategy adaptively. Besides, an inertia parameter for the velocity was defined in ADS-PSO. The simulation results show that the improved SVM model can identify …
