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Articles 91 - 120 of 2060
Full-Text Articles in Computer Engineering
Energy Efficiency Data Mining And Scheduling Optimization Of Discrete Workshop, Yugu Lin, Wang Yan
Energy Efficiency Data Mining And Scheduling Optimization Of Discrete Workshop, Yugu Lin, Wang Yan
Journal of System Simulation
Abstract: This paper addresses the optimization of energy consumption in discrete workshops and establishes the energy efficiency optimization model of discrete workshops. The relationship between data mining and knowledge discovery is established. Through scheduling data preprocessing and C4.5 decision tree learning algorithm, the discovery of scheduling knowledge is realized. Energy efficiency optimization calculation is achieved in discrete workshops by the combination of scheduling knowledge and improved differential evolution algorithm (IDE). By comparing with TLBO, GA and PSO, the feasibility of IDE algorithm is verified.
Research On Social Network Inference Method Based On Observation Data, Hailiang Chen, Bin Chen, Yuan Peng, Dong Jian, Chuan Ai
Research On Social Network Inference Method Based On Observation Data, Hailiang Chen, Bin Chen, Yuan Peng, Dong Jian, Chuan Ai
Journal of System Simulation
Abstract: Internet technology and online social networks have developed rapidly, which enables people to randomly express their opinions, ideas, emotional exchanges and economic exchanges. Inferring social networks is made possible through the observation data exchanged by people on the Internet. Through the analysis of ConNIe (Convex Network Inference) algorithm, this paper researches the effects of sparse parameter, propagation time distribution model and its parameters on the inference results of the algorithm. According to the analysis, a social network inference framework based on ConNIe algorithm is proposed. Combining the perceptron and particle swarm optimization algorithm, the ConNIe algorithm inference becomes a …
Noise Clipping Algorithm Based On Relative Contribution Rate, Shuoyu Liu, Yueming Dai
Noise Clipping Algorithm Based On Relative Contribution Rate, Shuoyu Liu, Yueming Dai
Journal of System Simulation
Abstract: This paper presents a class noise cutting algorithm (Class noise cutting, CNC) based on relative contribution rate. The algorithm calculates the relative contribution rate of features to the theme. The most valuable feature set is selected by using features distinguish rating. The corresponding candidate categories for each feature are selected, to reduece the candidate category set, improves the classification accuracy, and speed up the response speed of the classifier. Compared with another ECN noise cutting algorithm (Eliminating the class whose), CNC-has higher accuracy and because of its simpler feature dimension dictionary and better candidate category set, the response …
Study On Data-Driven Orca Preference Velocity, Wang Jie, Bin Chen, Yuan Peng, Ma Liang, Xiaogang Qiu
Study On Data-Driven Orca Preference Velocity, Wang Jie, Bin Chen, Yuan Peng, Ma Liang, Xiaogang Qiu
Journal of System Simulation
Abstract: Crowd evacuation is an important aspect of emergency management. Because of economic and safety reasons, emergency evacuation drill cannot be carried out repeatedly, however modeling and simulation has the obvious advantages of low cost, high repeatability, etc. Optimal Reciprocal Collision Avoidance (ORCA) is a velocity-based Collision Avoidance method, which has fine granularity and high computational efficiency, and is widely used in robot collision avoidance and other domains. In this paper, ORCA is introduced into crowd evacuation simulation, and the optimal parameters of ORCA under different kinds of speed strategies are identified by data-driven method. The optimal strategy …
Exploration Of Soldier Morale Using Multi-Mode Simulation Approach, Yongsheng Zhang, Zhengxiang Xiong
Exploration Of Soldier Morale Using Multi-Mode Simulation Approach, Yongsheng Zhang, Zhengxiang Xiong
Journal of System Simulation
Abstract: Soldier morale is a complex social construction influenced by factors at multiple levels and integrates many research domains. This research seeks to explore, model, and simulate soldier morale at multiple levels of analysis. Microcosmically Agent-Based Modeling method is used to reflect the interaction among fighters and the course of affecting morale,Macrocosmically SD method is used to reflect the influence of the tactical psychology on morale and the whole war in the counter-combat process. The developed sample case scenario pertained to US security efforts against insurgency in Afghanistan in 2007. The scenario includes representation of the patrol base operations serving …
Dynamic Simulation Of Marine Pasture Water Quality Monitoring Network Based On Aug, Wenxia Xue, Bin Lin, Hu Xu, Jingbo Zhang
Dynamic Simulation Of Marine Pasture Water Quality Monitoring Network Based On Aug, Wenxia Xue, Bin Lin, Hu Xu, Jingbo Zhang
Journal of System Simulation
Abstract: The development of marine pastures puts forward higher requirements for water quality monitoring. In order to achieve large-scale and long-term underwater water quality monitoring, AUG-based Underwater Sensor Network (AUSN) is studied. The AUG is introduced as the underwater sink node of the sensor network and the sleep scheduling mechanism is adopted for the sensors, which can effectively reduce the total energy consumption of the network. Based on the analysis of energy consumption characteristics of underwater sensor networks, the energy consumption calculation formula of underwater sensor networks is discussed. Combined with the virtual visualization technology, the underwater sensor network simulation …
Design And Implement Of Semi Physical Simulation System For Underwater Acoustic Imaging, Ruonan Fan, Jijun Jiang, Naiwei Sun
Design And Implement Of Semi Physical Simulation System For Underwater Acoustic Imaging, Ruonan Fan, Jijun Jiang, Naiwei Sun
Journal of System Simulation
Abstract: A semi physical simulation system based on underwater scale target and acoustic imaging is designed. Functional requirements are presented, the echo models of underwater scale target acoustic image are established through the planar element method, the structure, hardware and software are designed, the real-time signal generation techniques of applying the model to the simulation system are researched. The results of underwater experiment show that the simulation system can simulate the acoustic imaging echo signal of Benchmark submarine model, the imaging results are recognizable to some extent, it can be promoted to any underwater scale target and meet the …
Research On Supporting Action Model Of Long-Rang Strike Space Reconnaissance Based On Combination Mode, Changliang Xiao, Jingyu Yang, Wu Xi, Ma Jun, Xiaojing Yin
Research On Supporting Action Model Of Long-Rang Strike Space Reconnaissance Based On Combination Mode, Changliang Xiao, Jingyu Yang, Wu Xi, Ma Jun, Xiaojing Yin
Journal of System Simulation
Abstract: Space reconnaissance support operations mainly undertake the tasks of target detection and identification in the early stage of strike, target guidance during strike and damage effect evaluation after strike. Based on EBI(Entity, Behavior, Interaction)modeling framework, this paper describes the entity models of signal intelligence sensor, radar alarm sensor and imaging sensor, constructs a combined mode of space reconnaissance support operation. It mainly models the combined mode algorithm of three sensors and their respective target detection behavior rules, whick is conductive to improving reconnaissance efficiency and enhancing intelligence quality in combat operations.
Cooperative Vehicle Positioning Method Based On V2x Enhanced Gps, Jiuling Wang, Shaobo Wu, Yuanli Zhang, Jiahui Qiu, Liu Qi
Cooperative Vehicle Positioning Method Based On V2x Enhanced Gps, Jiuling Wang, Shaobo Wu, Yuanli Zhang, Jiahui Qiu, Liu Qi
Journal of System Simulation
Abstract: In order to further improve the vehicle positioning accuracy and adaptability to the environment, V2X (vehicle to everything) communication network is used for auxiliary positioning to enhance the GPS/DR integrated positioning. Firstly, the three subsystems of GPS, DR and V2X auxiliary positioning independently perform filtering estimation, and then a better estimation from the GPS and V2X auxiliary positioning is selected to conduct global optimal fusion with DR, and finally the three sub-filters are reset with the feedback of the optimal result. Simulation results show that when the GPS signal is seriously affected by multipath interference, the positioning performance of …
Differential Evolution Quantum Particle Swarm Optimization For Parameter Estimation Of Fractional-Order Chaotic System, Dong Ze, Ma Ning
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 …
Modeling Of Capability Relations Oriented To The Evolution Of Operational System-Of-Systems, Xia Lu, Mingzhi Zhang, Jingyu Yang, Changliang Xiao
Modeling Of Capability Relations Oriented To The Evolution Of Operational System-Of-Systems, Xia Lu, Mingzhi Zhang, Jingyu Yang, Changliang Xiao
Journal of System Simulation
Abstract: Based on the analysis of the capability of the operational system-of-systems (OSoS) and its relationship, the capability relationship description function is constructed, and the spreading effect and emerging effect are explained. The super-network theory is used to establish the ‘entity-capability’ network model and its characteristic parameters. For measuring the emerging effect of the capability of OSoS, the capability contribution domain model and the capability emergence domain model are constructed. Taking the air defense system-of-systems evolution analysis as an example, the capability relationship model of OSoS is verified to provide a qualitative and quantitative method for constructing the evolution set …
Resilience Analysis And Evaluation Of Combat System Of Systems Architecture Based On Dynamic Super Network, Rong Ming, Xiaofeng Hu, Jingyu Yang
Resilience Analysis And Evaluation Of Combat System Of Systems Architecture Based On Dynamic Super Network, Rong Ming, Xiaofeng Hu, Jingyu Yang
Journal of System Simulation
Abstract: The resilience of combat architecture is a kind of adaptability and recovery ability presented by the architecture when the combat system of systems (CSoS) faces destruction, attack and failure. It has become an important index to measure the capability of CSoS. The dynamic super network model is established by mapping the experimental data of CSoS resilience simulation. The resilience index of CSoS architecture is proposed and the resilience measure CSoSIR algorithm is designed. Based on the resilience analysis framework of competitive game, the CSoS architecture resilience is analyzed and evaluated.
Concurrent Conflict Control Method Of "Multi-Rights+Operation Queues" Based On Cpn Tools, Zhili Zhang, Yunrong Zhang, Shixin Ma
Concurrent Conflict Control Method Of "Multi-Rights+Operation Queues" Based On Cpn Tools, Zhili Zhang, Yunrong Zhang, Shixin Ma
Journal of System Simulation
Abstract: There are problems with concurrent control methods such as operation rights + timestamp, for example, the role of each maintenance worker cannot be played. The concurrent control method of multiple rights and operation queues can solve this problem. The working principles of the important function modules of this method are discussed, and the operation method of the process flow chart and colored Petri net is given. The data are simulated by the CPN Tools for the entire process. Simulation results show that this method can ensure the operation fairness of the low maintenance personnel, and make every maintenance staff …
Treadmill Speed Coordination Control For Lower Limb Rehabilitation Training Robot, Li Feng, Zhizheng Wu, Hou Wei, Xiaofei Qin
Treadmill Speed Coordination Control For Lower Limb Rehabilitation Training Robot, Li Feng, Zhizheng Wu, Hou Wei, Xiaofei Qin
Journal of System Simulation
Abstract: In the course of active exercise training for patients with lower limb rehabilitation robots, a treadmill speed coordinated control method based on acceleration suppression is proposed to prevent secondary damage to patients caused by muscle spasms. The mathematical model of treadmill is established by means of system identification. Based on the H2 optimal design method and the continuous time system switching theory, the treadmill speed PI controller with acceleration suppression is designed. The simulation results show that the controller can not only reduce the acceleration of the treadmill, but also keep the speed of the treadmill …
Design Of Nonsmooth And Inversed Control Algorithm For Nonlinear Structural Vibration Control, Jianhui Wang, Wang Qing, Kemao Ma, Xiaofang Huang
Design Of Nonsmooth And Inversed Control Algorithm For Nonlinear Structural Vibration Control, Jianhui Wang, Wang Qing, Kemao Ma, Xiaofang Huang
Journal of System Simulation
Abstract: Considering the vibration effects of seismic waves on building with nonlinear structures, a nonsmooth and inversed control algorithm is used to suppress the vibration. It overcomes the faults of ignoring nonlinear influence in traditional approximate linearization control method and suppresses the influence of seismic waves effectively. According to Lyapunov stable theory and finite-time stability theory, the proposed control method to realize the stability of the nonlinear structural vibration is demonstrated. In the realization of the control method, the extended state observer is used to estimate the unknown disturbances. The numerical simulation is conducted for an eight-story building influenced …
Chaotic Time Series Prediction Based On Gaussian Processes Mixture, Zhenjie Feng, Fan Yu
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 …
Research On Real-Time Simulation Platform Architecture Based On Multi-Core Scheduling, Jiahui Tong, Liu Jin, Jinyuan Zhang, Yongxiang Zhang
Research On Real-Time Simulation Platform Architecture Based On Multi-Core Scheduling, Jiahui Tong, Liu Jin, Jinyuan Zhang, Yongxiang Zhang
Journal of System Simulation
Abstract: With the development of weapon equipment and support training system, new requirements are added to architecture of simulation platform. Considering the overall architecture, hardware architecture and software system, combining the requirement of experiment and training, a real-time simulation platform architecture with network and distributed system characteristics is proposed. The platform provides embedded computing nodes. The computing nodes and network are strong real-time.
Numerical Simulation Of Spread And Infection Risk Of Respiratory Pathogens In The Aircraft Cabin, Jiaquan Lin, Fengshan Sun, Yachong Li
Numerical Simulation Of Spread And Infection Risk Of Respiratory Pathogens In The Aircraft Cabin, Jiaquan Lin, Fengshan Sun, Yachong Li
Journal of System Simulation
Abstract: In order to study the transmission law of respiratory pathogens through the breath of the sick passengers in the aircraft cabin and reduce the risk of infection, the numerical model of respiratory pathogens spread in Boeing737 economy cabin is established. The dynamic propagation process of respiratory pathogens released by the sick passenger is simulated. The risk of infection for other passengers is obtained. Taking SEI (Susceptible Exposure Index) as an evaluation index,,the seats with the least risk of infection for other passengers are obtained based on the simulated data by changing the seats of the sick passengers. Some seats …
Simulation And Experiment Of Friction Modeling And Compensation Of Scara, Li Lin, Yanlong Lin, Yanbiao Zou
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 …
Wood Surface Defect Detection Based On Adaboost And Cnn, Hongjun Wang, Zouzou Li, Xiangjun Zou
Wood Surface Defect Detection Based On Adaboost And Cnn, Hongjun Wang, Zouzou Li, Xiangjun Zou
Journal of System Simulation
Abstract: In order to obtain the location information and category information of wood surface defects in the early stage of intelligent wood cutting, a combined algorithm for fast identification and location of wood surface defects is proposed based on digital image processing technology for fast recognition and location of wood surface defects. The Adaboost cascade classifier algorithm is used to extract the candidate frames of the wood surface defect region in the image in order to solve the problem that the traditional segmentation method is not effective for multi objects processing. A CNN model with self-learning ability is used to …
Multi-Channel Transmission Optimization Of Campus Internet Of Things Based On Pheromone Genetic Algorithm, Zhiyong Chen, Liu Hao
Multi-Channel Transmission Optimization Of Campus Internet Of Things Based On Pheromone Genetic Algorithm, Zhiyong Chen, Liu Hao
Journal of System Simulation
Abstract: Aiming at the difficulty in selecting and optimizing the multi-path transmission of campus Internet of Things information, an optimization algorithm of network multi-path transmission based on intelligent optimization algorithm is proposed. Based on the standard genetic algorithm and the concept of pheromone concentration in ant colony algorithm, this algorithm improves the global optimization ability and convergence efficiency by controlling the evolution direction of individuals, and designs and constructs an evaluation index mathematical model which conforms to the characteristics of multi-channel information transmission optimization in the Internet of Things. The mathematical model of the evaluation index realizes the multi-channel comprehensive …
Simulation Study On Aerodynamic Characteristics Of Flapping-Wing Aircraft With Multi-Stage Wing And Multiple Degree Of Freedom, Yonggang Yang, Xindong Gu
Simulation Study On Aerodynamic Characteristics Of Flapping-Wing Aircraft With Multi-Stage Wing And Multiple Degree Of Freedom, Yonggang Yang, Xindong Gu
Journal of System Simulation
Abstract: In the traditonal flapping-wing aircraft model, most of the wings are two-dimensional rigid wings, and the upswing and downwing processes are completely symmetrical. In order to further improve the aerodynamic characteristics of the flapping-wing aircraft, this paper uses the idea of approximate flexibility to establish the multi-stage wing to achieve the approximate flexibility effect. At the same time, the rapid return characteristic is added to prolong the down-flapping time. And a three-dimensional model of “flutter-twist-bend folding” is proposed by adding the bending-folding motion on the basis of the original movement and twisting motion. The model is imported into Xflow …
Control Optimization Of Hybrid System With Hybrid Power Based On Dp Algorithm, Deng Tao, Haoyuan Yu, Bin Xu
Control Optimization Of Hybrid System With Hybrid Power Based On Dp Algorithm, Deng Tao, Haoyuan Yu, Bin Xu
Journal of System Simulation
Abstract: Aiming at the complexity and diversity of energy management for HEV(hybrid electric vehicle) with hybrid power, taking the State of Charge of power battery and ultracapacitor as state variable, the torque distribution ratio between engine and motor, and the power distribution ratio between power battery and ultracapacitor as control variables, the fuel economy and emission performance as objective function, the Dynamic Programming (DP) control strategy for HEV with hybrid power is proposed. The working rules of the engine, motor, battery and ultracapacitor, are extracted from the results, and the rules of engine and motor and the fuzzy control …
Research On Radar Signal Sorting Based On Ensemble Deep Learning, Weidong Jin, Chunli Chen
Research On Radar Signal Sorting Based On Ensemble Deep Learning, Weidong Jin, Chunli Chen
Journal of System Simulation
Abstract: In view of the fact it is difficult to extract the appropriate features quickly and present signal sorting method’s accuracy is low, a signal sorting method based on ensemble deep learning model is proposed. This method stacks different types of deep belief network for radar emitter signal feature learning to improve algorithm. After learning the characteristics of the radar emitter signals deeply, the posterior probability of each model is linearly integrated and learned and the final classification results are determined by the decision layer to further improve the signal recognition rate. The method is used to separate different …
Dynamic Matching Of Power Transmission Efficiency Of Bulldozer Under Operation Condition, Shengping Fu, Shengbo Li, Luo Ning
Dynamic Matching Of Power Transmission Efficiency Of Bulldozer Under Operation Condition, Shengping Fu, Shengbo Li, Luo Ning
Journal of System Simulation
Abstract: When a high-power bulldozer works with the heavy load for a long time, the efficiency of hydraulic mechanical transmission decreases obviously. To solve this problem, the dynamic simulation model of bulldozer power transmission is constructed based on modularization theory. And a dynamic match strategy of guaranteeing the high transmission efficiency is designed. Moreover, a load control model and a throttle opening control model are constructed. And then the optimizing design platform is established to confirm and optimize the PID parameters of load control and throttle opening control model adopting Isight and Matlab software. Eventually, hardware-in-the-loop test is designed and …
Modeling And Simulation Of Coordination Relationship Between Rail And Bus Lines, Wang Jian, Danqing Shen, Ziyang Wang
Modeling And Simulation Of Coordination Relationship Between Rail And Bus Lines, Wang Jian, Danqing Shen, Ziyang Wang
Journal of System Simulation
Abstract: By analyzing the coordination relationship of the collinear edges between the rail lines and the bus lines, the coordination relationship considering the complementation and the competition is defined as the goal of maximizing the utilization rate of resources and capacity matching. After the analysis of the coordination and the competition, the calculation of the coordinated coefficient are presented. Considering the influence of the disruptions on the coordination, an adjustment method of the bus lines is proposed. Taking part of Wuhan City transit network as an example, the results show that the adjusted transit system has a higher degree of …
Low-Complexity Signal Detection Algorithm Based On Pgqsm, Fatang Chen, Yang Kang, Yongli Fu, Mengjie Li
Low-Complexity Signal Detection Algorithm Based On Pgqsm, Fatang Chen, Yang Kang, Yongli Fu, Mengjie Li
Journal of System Simulation
Abstract: Pre-coding aided Generalized Quadrature Spatial Modulation (PGQSM) uses the known channel state information to perform pre-coding processing on the in-phase and quadrature signals of the quadrature spatial modulation (QSM), so as to reduce the complexity of the receiver for signal detection. At the same time, an improved Pre-coding aided Generalized Quadrature Spatial Modulation low complexity detection algorithm is proposed to solve the problem of the proposed algorithm’s high complexity at the receiver. The results of analysis and simulation show that the proposed algorithm can achieve almost the same BER performance as the maximum likelihood (ML) algorithm with more than …
Control Method Of Unified Svpwm For Three-Phase Four-Switch Fault-Tolerant Apf Based On Inductor Current, Jianfeng Yang, Jiang Hui, Tianqi Zhou
Control Method Of Unified Svpwm For Three-Phase Four-Switch Fault-Tolerant Apf Based On Inductor Current, Jianfeng Yang, Jiang Hui, Tianqi Zhou
Journal of System Simulation
Abstract: The algorithm of conventional space vector PWM for three-phase four-switch fault-tolerant APF chooses different coordinate transformation control algorithm based on the fault location selection of phase A, phase B, phase C. The calculation process involves a lot of coordinate operation, and, is not conducive to the fault switching. A unified SVPWM for three-phase four-switch Fault-tolerant active power filter based on inductor current is presented. The traditional SVPWM control needs complex coordinate transformations. The simplified algorithm takes the inductor current change as the control target, doesnot complicated coordinate transformation calculation, and the form of the calculation is unified, which is …
A Just-In-Time Learning Soft Sensing Modeling Method Based On Bayesian Gaussian Mixture Model, Qi Cheng, Weili Xiong
A Just-In-Time Learning Soft Sensing Modeling Method Based On Bayesian Gaussian Mixture Model, Qi Cheng, Weili Xiong
Journal of System Simulation
Abstract: For some time-varying industrial processes with non-Gaussian properties, the model established by the general soft-sensing method is difficult to meet the accuracy requirement. To solve the above problems effectively, a JITL soft sensor modeling method (BGMM) is proposed based on Bayesian Gaussian Mixture Model. For the given training sample set, the number of components of the Gaussian mixture model is optimized by Bayesian Information Criterion (BIC); For new test samples, Gaussian Process Regression (GPR) model is established by using the BGMM similarity criterion for the training samples to find out the most similar set;The model is used to predict …
Joint Resource Partitioning And Offloading Analysis In Heterogeneous Ultra-Dense Networks, Zhen Yan, Jiangpan Shi, Qiaoshou Liu
Joint Resource Partitioning And Offloading Analysis In Heterogeneous Ultra-Dense Networks, Zhen Yan, Jiangpan Shi, Qiaoshou Liu
Journal of System Simulation
Abstract: For the problem of load balancing between macro base station and small base station in heterogeneous ultra-dense networks, a general offloading framework is proposed based on the distance between users and the nearest base station. By partitioning network spectrum resource and using stochastic geometry, the expression of coverage probability and average ergodic rate of users in the fixed region and the random region are deduced on the basis of guaranteeing the quality of service of the macro users offloaded. The simulation results show that the combination of resource partitioning and offloading effectively improves the coverage probability and average ergodic …