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Articles 4141 - 4170 of 6662

Full-Text Articles in Numerical Analysis and Scientific Computing

Dynamic Interference Detection Algorithm For Bearing With Scar, Jinyuan Jia, Naihao Zheng Nov 2019

Dynamic Interference Detection Algorithm For Bearing With Scar, Jinyuan Jia, Naihao Zheng

Journal of System Simulation

Abstract: To solve the dynamic interference detection problem of scar bearing in visual assembly, an efficient dynamic interference inspection algorithm for scar bearing is proposed. The first step is to perform vertex management on the 3D reconstructed scar bearing model through the quad-tree; the second step is to select the appropriate algorithm for the calculation of the maximum interference distance by considering bearing shape and its motion characteristics. The research shows that the algorithm can quickly and efficiently test the dynamic interference and calculate the interference distance for the bearing with scar, which can effectively improve the efficiency of bearing …

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Optimal Compensation Control Strategy For Four-Axle Vehicle With All-Wheel Steering System, Baohua Wang, Yu Chao Nov 2019

Optimal Compensation Control Strategy For Four-Axle Vehicle With All-Wheel Steering System, Baohua Wang, Yu Chao

Journal of System Simulation

Abstract: Aiming at the problem of poor stability of traditional multi-axle commercial vehicles, an optimal control strategy for multi-axle steering wheel is proposed. Through the establishment of the four-axis vehicle model, the wheel angle proportional feed-forward control algorithm and the yaw rate feedback control algorithm are studied. The optimal compensating control algorithm of the wheel angle proportional feed-forward and yaw rate feedback is proposed, and the control strategy is also verified through joint simulation. The results show that the full-wheel steering optimal compensation control strategy can keep the center-of-mass skew angle close to zero at all vehicle speeds, …

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Adaptive Backstepping Control Based Closed-Loop I/F Control Of Sensorless Permanent Magnet Synchronous Generator, Chang Da, Yu Yang, Zengqiang Mi, Xiaoming Zheng, Chenjun Sun Nov 2019

Adaptive Backstepping Control Based Closed-Loop I/F Control Of Sensorless Permanent Magnet Synchronous Generator, Chang Da, Yu Yang, Zengqiang Mi, Xiaoming Zheng, Chenjun Sun

Journal of System Simulation

Abstract: A novel strategy applied closed-loop adaptive back-stepping control to permanent magnet synchronous generator (PMSG) is proposed targeting the problem of the modification of torque for mechanical elastic energy storage (MEES) system utilizing PSMG as power source. This paper establishes the mathematical model of MEES system and PMSG, and presents the closed-loop adaptive backstepping control which makes the angle between the dq axis oriented by the current of stator and the dq axis oriented by the rotor a constant value via the speed and current closed-loop based on the analysis of open-loop I/f control. The closed-loop adaptive back-stepping control can …

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Future Traffic Accident Risk Investigation Based On Human-Machine-Environment Factors, Yuan Quan, Gao Yan, Chenlu Qiu Nov 2019

Future Traffic Accident Risk Investigation Based On Human-Machine-Environment Factors, Yuan Quan, Gao Yan, Chenlu Qiu

Journal of System Simulation

Abstract: Based on the theory of human-machine-environment system engineering, this paper investigated the developing trends of autonomous vehicles and the types of traffic crashes in China, and integrated changing human-vehicle-road factors of traffic system to speculate the possible new types and scenarios of traffic crashes. The recent occurred crash cases involving autonomous vehicles were concerned and investigated. In future, some new affecting factors such as the mix traffic with various autonomous vehicles and piloted vehicles, the switching of driving behavior between human and machine, and the information security of intelligent traffic system, may cause traffic crashes. Among these, the human …

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Potential Users Of Battery Electric Vehicle Based On Big Data Of Floating Vehicles, Kong Yuan, Yiman Du, Jianping Wu, Kezhen Hu Nov 2019

Potential Users Of Battery Electric Vehicle Based On Big Data Of Floating Vehicles, Kong Yuan, Yiman Du, Jianping Wu, Kezhen Hu

Journal of System Simulation

Abstract: Nowadays, the Chinese government is strongly pushing the adoption of new energy vehicles, so it is of great significance to find the most suitable users of EV (Electric Vehicle). This paper did a data mining work to find out target user group of EV based on two-month traveling data, driver information and vehicle attribute information of 12,000 floating vehicles in Beijing. The results show that residential area is more suitable to push the adoption of EV than other functional areas; adding charging piles in the destination area can turn the 9.2% of drivers who are not suitable for EV …

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Simulation Estimation On Directional Green-Wave Traffic Control In Nanning City, Yiman Du, Hongfan Su, Chen Yu, Longfei Liu, Jianping Wu Nov 2019

Simulation Estimation On Directional Green-Wave Traffic Control In Nanning City, Yiman Du, Hongfan Su, Chen Yu, Longfei Liu, Jianping Wu

Journal of System Simulation

Abstract: Due to the noticeable development of Nanning city, traffic congestion has become a serious problem, especially during the peak hours along the Binhu road. The development of Nanning city is restricted by the imbalance distribution of traffic flow. In order to ease the overload burden of traffic along the Binhu road during the peak hours, the current problems are analyzed and some solutions with directional green-wave traffic control are proposed. Traffic microscopic simulation software is used to estimate the improvement between before and after implementations of the solutions.

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Research And Simulation Verification Of Integrated Access Technology For Electrical Equipment Based On Edge Computing, Zou Ping, Ruijie Shi, Xike Wu, Chuang Li, Yilin Zhang, Huang Jian, Li Lin Nov 2019

Research And Simulation Verification Of Integrated Access Technology For Electrical Equipment Based On Edge Computing, Zou Ping, Ruijie Shi, Xike Wu, Chuang Li, Yilin Zhang, Huang Jian, Li Lin

Journal of System Simulation

Abstract: In order to solve the problem of information islands existing in the production process of traditional electrical equipment, this paper proposes a technology for equipment integration into the industrial internet cloud platform. Based on the edge computing and WebService technologies, two models of device integration direct access and indirect access were established. The direct access model was verified by application simulation in a production workshop, which realized the high-speed and stable data transmission between the equipment and the industrial internet cloud platform. The results show that the technology is feasible and effective. The application of this device integration …

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Novel Star Map Identification Algorithm Using Improved Radial Features, Junyang Zhao, Zhili Zhang, Dianjian Liu, Zhaofa Zhou, Zhenjun Chang Nov 2019

Novel Star Map Identification Algorithm Using Improved Radial Features, Junyang Zhao, Zhili Zhang, Dianjian Liu, Zhaofa Zhou, Zhenjun Chang

Journal of System Simulation

Abstract: In order to improve the star map identification efficiency and insure the identification veracity, the radial feature is ameliorated by cyclic feature, and a new star map identification method based on the ameliorative radial feature matching is proposed. The star map data are processed according to quadrant order to establish the database of new radial feature. The radial feature matching between the observation stars in the matching star map and the reference star in the feature database is carried out in the order of circumferential quadrant. The star with the largest count in the star database is the final …

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Study On The Matching Mediation Method Between Virtual Maintenance Personnel And Work Steps, Yunrong Zhang, Zhili Zhang, Xiangyang Li, Weichang Xu, Kuixia Han, Li Liang Nov 2019

Study On The Matching Mediation Method Between Virtual Maintenance Personnel And Work Steps, Yunrong Zhang, Zhili Zhang, Xiangyang Li, Weichang Xu, Kuixia Han, Li Liang

Journal of System Simulation

Abstract: Aiming at the problem that each maintenance worker cannot play a full role in dealing with the concurrent conflict of maintenance steps, this paper puts forward a matching mechanism between maintenance steps and maintenance workers according to the level of authority, expounds the status information of maintenance workers, divides the difficulty level of maintenance steps, and gives the matching process between maintenance workers and maintenance steps. The matching process is modeled and simulated by using colored Petri nets and CPN tools. The simulation results show that the matching mechanism can solve the problem that the role of …

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Two-Machine Co-Simulation Based On Mobile Augmented Reality, Zhili Zhang, Wang Chao, Long Yong, Shaodi Wang Nov 2019

Two-Machine Co-Simulation Based On Mobile Augmented Reality, Zhili Zhang, Wang Chao, Long Yong, Shaodi Wang

Journal of System Simulation

Abstract: Aiming at the problems that virtual training system was not convenient and was only performed in a single operation at present, a dual-machine collaborative system based on mobile augmented reality was designed. A portable augmented reality system was developed on the Unity3D platform with Tango technology. The photon server and LAN architecture were built on the basis. The client was built on the mobile platform of Lenovo PHAB2 Pro, and the co-simulation on dual-machine was implemented. Resultof the simulation proved the feasibility of combining augmented reality with photon server, and provided a set of practical development solutions for …

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Numerical Simulation For Airflow Field Around Car Wheels, Haibo Huang, Xudong Yu, Qingguo Liu, Zhang Tao, Jianan Dong Nov 2019

Numerical Simulation For Airflow Field Around Car Wheels, Haibo Huang, Xudong Yu, Qingguo Liu, Zhang Tao, Jianan Dong

Journal of System Simulation

Abstract: The airflow field characteristics around the wheels have great influence on the flying of road dust and tire wear particles. Using the rotating wall boundary technology, an aerodynamic model of the vehicle-tire was built and verified. The airflow field around the wheels was obtained. The results show that the two airflows between the wheel and the wheel guard meet leading to the vortex. The airflows mainly overflow near the intersection. Due to the significant pumping effects, the airflow tends to fly to outside and upward near the front and rear wheels, respectively. In the …

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Multi-Agent Modeling And Simulation On China's Marine Energy Channel Security, Yongchen Guo, Shen Yang Nov 2019

Multi-Agent Modeling And Simulation On China's Marine Energy Channel Security, Yongchen Guo, Shen Yang

Journal of System Simulation

Abstract: Security factors influencing China's offshore energy channel are analyzed, and the actual situation of China's oil import and transportation is described. Based on multi-agent modeling and simulation method, and starting at the micro level, the energy transport process is simulated and a multi-agent model of China's offshore energy channel (middle east lines) is built; and the simulation program on the NetLogo platform is conducted. The results show that the quantity of China’s VLCC is far from enough; the security impact of tropical cyclones is more serious than that of pirates; the increase proportion of carrier’s quantity is usually lower …

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Effect Of Flow Field Environment On Microstructure Surface Preventing Microorganism Attachment, Chunxi Li, Quanxi Xue, Xiangshan Zhang, Xuemin Ye Nov 2019

Effect Of Flow Field Environment On Microstructure Surface Preventing Microorganism Attachment, Chunxi Li, Quanxi Xue, Xiangshan Zhang, Xuemin Ye

Journal of System Simulation

Abstract: The kinetic characteristics of microorganism model moving in different surfaces and flow field environments are simulated. The internal flow dynamics and the inherent mechanism of antifouling on microstructure surface are examined. The results indicate that for the static flow field, vortices are generated in the micro-pits as microorganism moves above microstructure surface. The velocity in the microstructure surface is greater than that in the smooth surface, and the strain rate and shear stress exerted on microorganism are relatively smaller resulting in the rapid passing the microstructure surface. For the dynamic flow field, the flow field presents regular fluctuations …

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Simulation Of Gas-Liquid Mixing Flow In A Stirred Tank With Inverted Umbrella-Type Surface Aerator, Wenli Wei, Weili Lou, Panpan Li, Yuling Liu Nov 2019

Simulation Of Gas-Liquid Mixing Flow In A Stirred Tank With Inverted Umbrella-Type Surface Aerator, Wenli Wei, Weili Lou, Panpan Li, Yuling Liu

Journal of System Simulation

Abstract: The way of computational fluid dynamics with k-ε turbulence model as well as multiple reference frame method was used to simulate the hydraulic characteristics of gas-liquid mixing flow in a stirred tank installed with an inverted umbrella-type surface aerator. The inverted umbrella aerator consists of eight blades, and rotates at 5.23rad/s. The main purpose of this simulation is to study the distributions of air volume fraction and characteristics of mixing flow. The simulation results show that the distribution of the mixing flow is symmetrical; the change rules of the gas distribution at different positions along the axis direction are …

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Dynamic Demand Forecast Of Emergency Materials For Flood Disasters Based On Improved Gm (1,1) Model, Zhongjun Hu, Yanqiu Liu, Li Jia Nov 2019

Dynamic Demand Forecast Of Emergency Materials For Flood Disasters Based On Improved Gm (1,1) Model, Zhongjun Hu, Yanqiu Liu, Li Jia

Journal of System Simulation

Abstract: The sudden and uncertainties of the flood disaster make it difficult to collect large sample data for forecasting the demand of emergency materials quickly and accurately. Based on this, this paper proposes an improved GM (1,1) dynamic forecasting model based on the gray system theory; constructs the dynamic demand model of emergency materials in combination with the inventory management method; and takes the real flood disaster in March 2016 as a case study. The validity of the model proposed in this paper is verified. The results show that the improved GM (1,1) model is feasible and practicable, and …

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Parameter Optimization Analysis For Double Reheat Units Based On Particle Swarm Optimization, Wenfeng Fu, Haiwen Chen, Lanjing Wang Nov 2019

Parameter Optimization Analysis For Double Reheat Units Based On Particle Swarm Optimization, Wenfeng Fu, Haiwen Chen, Lanjing Wang

Journal of System Simulation

Abstract: The thermodynamic system parameter optimization was established for double reheat ultra-supercritical units. Taking a 660MW unit as an example, some vital parameters including feedwater enthalpy rise distribution, feedwater temperature, reheat steam pressure, number of feedwater heaters and main steam parameter were analyzed based on particle swarm optimization. The result shows the unit thermal efficiency can be further improved by optimizing apparatus interface parameters. The second reheat pressure has more influence on the unit thermal efficiency than the first reheat pressure. When adding the number of feedwater heaters, low pressure heater is a better choice for improving unit thermal efficiency. …

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Error Control On Unequal Diameter Machining Of Arc Surface Cam, Hu Dongfang, Jianwei Guo Nov 2019

Error Control On Unequal Diameter Machining Of Arc Surface Cam, Hu Dongfang, Jianwei Guo

Journal of System Simulation

Abstract: The effective control for the machining error is an important means for obtaining high precision and high efficiency of the unequal diameter profile machining of the arc surface cam. According to the space meshing principle and the rotation transformation tensor method, the contact line between the tool and the cam is analyzed; the cutter position offset and direction in the machining process are calculated. The actual working profile of the unequal diameter machining cam equation is established. Calculation method of normal error of globoid cam profile is deduced by the principle of differential geometry. The comparison between the …

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Two-Level Spare Parts Support Effectiveness Evaluation Model Under (S-K, S) Supply Strategy, Songshi Shao, Wei Yong Nov 2019

Two-Level Spare Parts Support Effectiveness Evaluation Model Under (S-K, S) Supply Strategy, Songshi Shao, Wei Yong

Journal of System Simulation

Abstract: Spares are one of the important factors of the operational readiness and the mission success. The (S-K, S) supply strategy is proposed based on the multi-level supply mode according to spares’ reliability and price. Simulation model is established to evaluate the support effectiveness of spare parts by the principle of discrete event simulation. The analytical evaluation model is also established by Gamma distribution characteristics. An approximate model is verified and compared in an example; the results show that the calculation results of the two models are consistent; and the results of approximate model are …

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Quantity Optimization Of Aircraft Ground Deicing Equipment Based On Flight Dynamics, Bin Chen, Liwen Wang Nov 2019

Quantity Optimization Of Aircraft Ground Deicing Equipment Based On Flight Dynamics, Bin Chen, Liwen Wang

Journal of System Simulation

Abstract: Flight delays and deicing equipment parameter optimization questions were studied aiming at two kinds of typical airport. The formation mechanism of deicing flight delay queue was studied, and the flight delay queue model was proposed corresponding to the departure dynamics of triangle and parabolic shape function. An optimization model of deicing nozzle quantity demand for two typical flight departure dynamics was established aiming at minimizing the flight delay and deicing cost. The nozzle quantity demand optimization model was simulated and verified using deicing flight dynamic data of Beijing International Airport and Harbin Taiping Airport. Simulation results are close to …

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Extending Lifetime Of Sensor Networks Based On Sleep-Scheduled Routing Algorithm, Zhuojin Pan, Stuart D., Luo Zhen, Yang Hua Nov 2019

Extending Lifetime Of Sensor Networks Based On Sleep-Scheduled Routing Algorithm, Zhuojin Pan, Stuart D., Luo Zhen, Yang Hua

Journal of System Simulation

Abstract: In order to minimize energy consumption of sensor nodes in wireless sensor networks, this paper presents an Energy Efficient Sleep-Scheduled Tree-Based Routing Protocol (EESSTBRP) that modifies the chain formation in PEGASIS to create a set of paired and unpaired nodes in the network based on a distance and sensing range threshold. The paired nodes switch between active and sleep modes so as to remove redundant data and save battery power. To minimize energy consumption as nodes switching between the modes, this scheme considers the transitioning to be done based on a point of near depletion of the nodes’ residual …

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Ship Speed Optimization Based On Multi-Objective Particle Swarm Algorithm, Jinfeng Zhang, Taoning Yang, Weihao Ma Nov 2019

Ship Speed Optimization Based On Multi-Objective Particle Swarm Algorithm, Jinfeng Zhang, Taoning Yang, Weihao Ma

Journal of System Simulation

Abstract: Ship speed optimization is an effective means to reduce operational costs in the downturn of shipping. To deal with the conflict between reducing the operating cost and reducing the ship emissions, the multi-objective ship speed optimization model is proposed based on the influence of the actual wind and wave. The MOPSO algorithm is introduced to solve the Pareto optimal solution set, and the compromise speed is an effective tradeoff based on the improved TOPSIS algorithm. The operational shipping route is selected as an example to simulate and verify the model. The results show that the operating costs and …

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Parameter Matching Optimization Of Pure Electric Vehicle Based On Firefly Algorithm, Li Yan, Yigang He Nov 2019

Parameter Matching Optimization Of Pure Electric Vehicle Based On Firefly Algorithm, Li Yan, Yigang He

Journal of System Simulation

Abstract: According to the design requirements and technical index of pure electric vehicle, the parameters of motor and battery related to power and economic performance are selected based on the computing results. Based on ADVISOR, a vehicle model of pure electric vehicle is established in MATLAB environment with the corresponding parameters validating the simulation results. On this basis, the multi-objective function is established, which includes the power performance, economic performance and cost price. This function is optimized by the firefly algorithm, which makes the dynamic parameters, the dynamic performance and economy performance of pure electric vehicle be improved significantly and …

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Comparison And Analysis Of Output Performance Of Different Pv Structures Under Shadows, Yonghong Xia, Mengru Li, Jianbo Xin, Zen Fanpeng, Yunjun Yu Nov 2019

Comparison And Analysis Of Output Performance Of Different Pv Structures Under Shadows, Yonghong Xia, Mengru Li, Jianbo Xin, Zen Fanpeng, Yunjun Yu

Journal of System Simulation

Abstract: The output power of PV array not only depends on the irradiance intensity of the partial shadows, but also on the shadows shape. For the serious power loss under partial shadows of the traditional SP (Series-Parallel) and TCT (Total-Cross-Tied) structures, an optimized TCT structure is proposed. Output capacity comparison was made based on the three structures in five shadow modes under the circumstances of the severe shadows and uneven irradiation. By using Matlab/ Simulink software, the output performance of the three structures was simulated under different shadow shapes in symmetrical and asymmetric arrays. The results show that PV array …

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Modified Sparse Quasi - Newton Algorithm For Electrical Capacitance Tomography System, Chen Yu, Zongji Xia, Yujia Zhou Nov 2019

Modified Sparse Quasi - Newton Algorithm For Electrical Capacitance Tomography System, Chen Yu, Zongji Xia, Yujia Zhou

Journal of System Simulation

Abstract: To solve the 'soft-field' nature and the ill-posed problem in electrical capacitance tomography technology, a modified sparse quasi - newton algorithm for electrical capacitance tomography is presented. The mathematical model of modified sparse quasi - newton is derived. The final iteration formula of modified sparse quasi - newton used to adjust the inverse problem solving of the capacitance tomography image reconstruction is given. An iterative formula for ECT inverse problem solving is used for digital simulation experiment. The simulation experiment results are compared with the results of LBP, Landweber, CG, SD, and so on. The results of the analysis …

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Colored Petri Net Based Modeling On Warship Command And Control Information Flow, Xueguang Zhou, Weidong Lü, Zhimin Yuan Nov 2019

Colored Petri Net Based Modeling On Warship Command And Control Information Flow, Xueguang Zhou, Weidong Lü, Zhimin Yuan

Journal of System Simulation

Abstract: Aiming at the current problems of the complexity, influence of human factors, reusability and others, this paper built a warship command and control (C2) information flow model and obtained the warship C2 model with command and feedback information flow. This paper also defined standard information flow and position structure, and solved the reusing issue. The authenticity of information flow guaranteed the objectivity of this model, which met the demands of different kinds of vessels, and promoted the compactness and fitness between C2 system and warship reality on the model level.

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Adaptively Resampling 3d Mesh Models Based On Editable Features, Jiajia Dai, Lipeng Fan, Mingyong Pang Nov 2019

Adaptively Resampling 3d Mesh Models Based On Editable Features, Jiajia Dai, Lipeng Fan, Mingyong Pang

Journal of System Simulation

Abstract: We propose a hybrid algorithm for adaptively resampling 3D triangulations by user-defined editable features. The method parameterizes a 3D mesh model into 2D parameter plane, and the geometric properties of the original model is calculated and represented on a planar domain. According to a constructed geometric image of the original model and user-defined editing information, the method creates a global density function for the resampled model. The sampling density function is employed to control distribution of samples in the 2D parameter domain. The method uses centroidal Voronoi tessellation technique to further optimize local distribution of the sampled points. The …

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Identification And Prediction Of Room Temperature Delay Neural Network Model For Vav Air Conditioning, Xiuming Li, Jili Zhang, Tianyi Zhao, Tingting Chen Nov 2019

Identification And Prediction Of Room Temperature Delay Neural Network Model For Vav Air Conditioning, Xiuming Li, Jili Zhang, Tianyi Zhao, Tingting Chen

Journal of System Simulation

Abstract: Aiming at the problem of mathematical description for dynamic response characteristic of indoor temperature time-delay system, the fundamental principle of neural network model identification is introduced in regulation process of variable air volume (VAV) air conditioning system. Considering the model structure of Elman neural network, this paper presents an optimal selection algorithm for layer delay coefficient in order to determine delay time between indoor temperature and regulation parameters; and a multiple-step prediction model of indoor temperature time-delay system based on Elman neural network is built. The effectiveness of the proposed method is validated through the simulation experiment.

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Optimum Design For Crankshaft Of Mud Pump Based On Response Surface Model, Liu Jun, Zhang Hong, Huang Hua, Chang Ping Nov 2019

Optimum Design For Crankshaft Of Mud Pump Based On Response Surface Model, Liu Jun, Zhang Hong, Huang Hua, Chang Ping

Journal of System Simulation

Abstract: The mud pump is the heart of an oil rig, and the crankshaft is one of the key components of the mud pump. To achieve the lightweight structural design of the mud pump, it is very important to optimize the structure of the crankshaft. The model is simplified and the structure is analyzed theoretically. The optimization module is used to optimize the parameters;and the response surface model is established. The multi-objective genetic algorithm is used to optimize the design; and the scheme of slotting on the crankshaft flange is put forward according to the production process. Through the simulation …

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Design And Implementation Of Asd Children’S Cognitive Education System Based On Unity3d, Xuejing Gu, Kaifeng Zhang, Yucheng Guo, Zhiliang Wang Nov 2019

Design And Implementation Of Asd Children’S Cognitive Education System Based On Unity3d, Xuejing Gu, Kaifeng Zhang, Yucheng Guo, Zhiliang Wang

Journal of System Simulation

Abstract: ASD (autism spectrum disorder) is a broad sense of autism. In order to improve cognitive deficits of children with ASD, promote cognitive generalization in ASD children, an education system was designed using Unity3D. The built-in physical engine of Unity3D was used to create a game environment which conformed to the physical laws of the real world by simulating the effects of gravity, buoyancy and collision. The Agent technology and state machine were used to realize the representation and control of virtual scene. Camera and face detection technology were used to realize facial imitative cognitive training. The preliminary test showed …

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Optimization For Unrelated Parallel Machine Scheduling With Deteriorating Jobs, Xuan Hua, Yingying Qin, Xueyuan Wang, Bailin Zhang Nov 2019

Optimization For Unrelated Parallel Machine Scheduling With Deteriorating Jobs, Xuan Hua, Yingying Qin, Xueyuan Wang, Bailin Zhang

Journal of System Simulation

Abstract: Unrelated parallel machine scheduling problem with deteriorating jobs is studied with the objective of minimizing the maximum completion time. The processing time of a job varies with its beginning time which is denoted as an increasing function of its starting time. It is assumed that each job has its own different deterioration rate on each machine. A mathematical programming model is formulated for the NP-hard problem. An improved genetic algorithm based on two segment coding and self-adaptive adjustment of genetic parameters is then designed to make job scheduling and machine allocation more reasonable. Through the simulation experiments of different …

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