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2019

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Articles 2761 - 2790 of 3906

Full-Text Articles in Computer Sciences

Multi Criterion Variable Weight Comprehensive Evaluation Method Of Guidance And Control System, Yuxiao Wang, Songyan Wang, Chao Tao, Yang Ming Jan 2019

Multi Criterion Variable Weight Comprehensive Evaluation Method Of Guidance And Control System, Yuxiao Wang, Songyan Wang, Chao Tao, Yang Ming

Journal of System Simulation

Abstract: The evaluation of guidance and control system is necessary in the process of vehicle development. In view of lacking of effective comprehensive evaluation methods and the corresponding auxiliary software, the performance evaluation methods of vehicle guidance and control systems are researched, the structure of the system is analyzed, and a hierarchical performance evaluation index system is established. Considering the varying degrees of the data reliability and independence of each index, a variable-weight comprehensive method with multi-criteria is proposed. A performance evaluation example of vehicle guidance and control system is given which shows that the proposed method weights the …

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Multi-Scale Representation Of Battlefield Situation, Yafeng Huang, Xudong Li, Hangfeng Zhang Jan 2019

Multi-Scale Representation Of Battlefield Situation, Yafeng Huang, Xudong Li, Hangfeng Zhang

Journal of System Simulation

Abstract: This paper studies the multi-scale representation of battlefield situation at the conceptual level in different aspects, such as the concept of situation scale, scale transformation and typical styles of multi-scale representation. The scale of battlefield situation as the Cartesian product of two sets is defined, in which the first set contains space, time, and semantics; the other set contains breadth, granularity, and ratio. The scale transformation is classified into two types: scale downward and scale upward. The scale transformation is decomposed into three basic operations, i.e. breadth transformation, transformation and visualization derivation. The study points out that FIOP, LOD …

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Impact Of Rumor Spreading In A ‘Small World’ Social Network On Pricing Decision, Li Feng, Wei Ying Jan 2019

Impact Of Rumor Spreading In A ‘Small World’ Social Network On Pricing Decision, Li Feng, Wei Ying

Journal of System Simulation

Abstract: This paper adopts methodology of multi-agent based modeling to represent rumor spreading on small-world social network and to address impacts of rumor on pricing decision and profit of supplier. In the model, the process of rumor diffusion follows well-accepted ‘Susceptible-Infective-Removal’ (SIR) model. Simulation proved that mathematic analysis of SIR model overestimated the results of rumor diffusion while PageRank algorithm is a more ‘efficient’ method to choose the source node for rumor propagation according to all four proposed indicators. Sensitivity analysis of two parameters in SIR model, spreading rate and ignoring rate, indicates that the loss of profit will be …

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Dynamic Suppression Method For Commutation Torque Ripple Of Brushless Dc Motors, Kun Xia, Tan Yuan, Bin Dong, Lu Jing Jan 2019

Dynamic Suppression Method For Commutation Torque Ripple Of Brushless Dc Motors, Kun Xia, Tan Yuan, Bin Dong, Lu Jing

Journal of System Simulation

Abstract: A dynamic suppression method for commutation torque ripple by employing a quasi-Z-source network was proposed, which reduced the torque ripple dynamically during the speed adjustment process in brushless DC motors (BLDCM). The phase resistance was taken into consideration and the mathematics model for the system was established. To suppress the commutation torque ripples timely and effectively, Uup and tup needed to be adjusted dynamically through the quasi-Z-source network while the speed and load changed. A simulation model to dynamically suppress the commutation torque ripple in BLDCM based on quasi-Z-source network was established by MATLAB/Simulink, and the feasibility …

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Time-Frequency Analysis Of Partial Discharge Signal Based On Vmd And Wigner-Ville Distribution, Yafei Jia, Yongli Zhu, Liuwang Wang Jan 2019

Time-Frequency Analysis Of Partial Discharge Signal Based On Vmd And Wigner-Ville Distribution, Yafei Jia, Yongli Zhu, Liuwang Wang

Journal of System Simulation

Abstract: To effectively analyze the time-frequency characteristics of partial discharge signals of high voltage electrical equipment, a novel time-frequency analysis method based on variational mode decomposition (VMD) and Wigner-Ville distribution (VMD-WVD) was proposed, which effectively solves the problem of cross term interference in the Wigner-Ville distribution method. The known partial discharge signals were decomposed by VMD and the mode components were extracted. These Wigner-Ville distributions of mode components were computed and the Wigner-Ville of each component signal was added linearly to reconstruct the Wigner-Ville of the original signal. The proposed method was applied to analyze simulation signals and measured partial …

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Improved Cpls Algorithm And Its Application In Process Monitoring, Qinghua Li, Pan Feng, Zhonggai Zhao Jan 2019

Improved Cpls Algorithm And Its Application In Process Monitoring, Qinghua Li, Pan Feng, Zhonggai Zhao

Journal of System Simulation

Abstract: Concurrent PLS (CPLS) further extracts information from the residuals of input variables and quality variables drawn by PLS, thus the raw data are projected into five subspaces. The process monitoring based CPLS provides a whole framework for the monitoring of input variables and quality variables. The model for residuals is developed by a deterministic manner while the residuals are inherently stochastic; therefore a probabilistic model is more proper for describing their features. This paper introduces factor analysis (FA) into CPLS, in which FA instead of PCA is used to analyze the residuals to develop the improved CPLS model, and …

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Optimal Economic Dispatch Of Microgrid Based On Immune Particle Swarm Optimization Algorithm, Gao Cong, Dinghui Wu, Tinglong Pan, Zhicheng Ji Jan 2019

Optimal Economic Dispatch Of Microgrid Based On Immune Particle Swarm Optimization Algorithm, Gao Cong, Dinghui Wu, Tinglong Pan, Zhicheng Ji

Journal of System Simulation

Abstract: Some restrictions are accompanied when solving the optimal economic dispatch of microgrid, such as multi-constraints, discontinuities and multi-generators. An immune particle swarm optimization (IMPSO) algorithm is proposed, which introduces the artificial immune system into particle swarm optimization (PSO) algorithm and can ensure the PSO convergence as well as exerting the immune mechanism to make the particles uniformly distributed in solution plane. The algorithm possesses the virtues like global probe and robustness and is used to solve two operating modes of island and grid- connected in microgrid respectively. The experimental results show that the IMPSO provides a feasible and advanced …

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Modeling And Control Of Networked Control Systems With Partitioned Random Delay, Yicai Liu, Bin Liu, Anwei Shi Jan 2019

Modeling And Control Of Networked Control Systems With Partitioned Random Delay, Yicai Liu, Bin Liu, Anwei Shi

Journal of System Simulation

Abstract: As for a class of networked control systems which have the bilateral random delay of sensor-to- controller and controller-to-actuator, the networked control systems were modeled as discrete-time jump systems with uncertain parameters by firstly partitioning the maximum possible delay value into a plurality of equal intervals, and then describing it as a stochastic process of a finite state Markov chain according to the jump characteristics of the delay in each interval. Considering the condition that the elements of the transition probability matrix of the Markov chain were partly unknown, the time-varying controller meeting the requirement of system stability was …

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Pmlsm Without Position Sensing Control Of Double Forgettingkalman Filter, Zhu Jun, Xiangjun Li, Rongbing Fu, Yuhang Wu, Tian Miao Jan 2019

Pmlsm Without Position Sensing Control Of Double Forgettingkalman Filter, Zhu Jun, Xiangjun Li, Rongbing Fu, Yuhang Wu, Tian Miao

Journal of System Simulation

Abstract: UsingextendedKalmanfilter (EKF) to estimate the position of permanent magnet linear synchronous motor(PMLSM), the model is not accurate, the noise properties areuncertain,and may lead to the problem of filtering divergence.Adouble forgetting Kalman filter (DFKF) method was proposed. Adaptive fading factor on the basisof EKF was introduced to achieve the first forgetting,andthe Sage-Husa adaptive filter algorithm was introduced to realize the second forgetting. The experiments show that DFKF diminishesaccording to the law of sineregardless synchronous speed change or load mutation;the stable error is 0.469% or 0.943% before or after the load mutation; the final error stabilizes near 0.167%;the …

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Optimization Of Scheduling Rule Of Unidirectional Material Handling System With Short-Cut, Juntao Li, Kun Xia, Kise Hiroshi Jan 2019

Optimization Of Scheduling Rule Of Unidirectional Material Handling System With Short-Cut, Juntao Li, Kun Xia, Kise Hiroshi

Journal of System Simulation

Abstract: To decrease the interference and improve the performance of a unidirectional circulation-type material handling system on a single loop with a shortcut, the interference and scheduling problem between AGVs are studied. According to the actual situation of material handling system, the interferences of two scheduling rules (random rule and order rule) are analyzed. An optimal scheduling rule under the interference case—exchange order rule is proposed. Different scheduling rules have an influence on the interference between AGVs and then have an important effect on the efficiency of the whole system. Experiment results show that the exchange order (E-Order) rule …

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Information Density Based Bayes Algorithm For Cloud Platform Intrusion Detection, Du Ye, Tiantian Zhang, Meihong Li Jan 2019

Information Density Based Bayes Algorithm For Cloud Platform Intrusion Detection, Du Ye, Tiantian Zhang, Meihong Li

Journal of System Simulation

Abstract: For getting better data classification results of cloud platform intrusion detection, and improving the detection accuracy and performance, a Bayes algorithm based on information density was proposed. The complete probability of data characteristics was constructed, and the uncertainty of information was represented by information entropy. The information density was defined to describe the distribution of information uncertainty. The improved algorithm was introduced, and the convergence and time complexity were analyzed. The simulation experiment results show that the method can effectively reduce the data loss and exposethe relationship between data characteristics and data type, which can further classify the detection …

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Situation Assessment Approach For Air Defense Operation System Based On Force-Sparsed Stacked-Auto Encoding Neural Networks, Shengming Guo, Xiaoyuan He, Wu Lin, Xiaofeng Hu Jan 2019

Situation Assessment Approach For Air Defense Operation System Based On Force-Sparsed Stacked-Auto Encoding Neural Networks, Shengming Guo, Xiaoyuan He, Wu Lin, Xiaofeng Hu

Journal of System Simulation

Abstract: Aiming at the difficulty of feature extraction and related generation mechanism analysis for complex Air Defense System of Systems (ADSOS) using traditional data mining method, a novel situation assessment approach based on Force-Sparsed Stacked-Auto Encoding Neural Networks (FS-SAE) is proposed. Combined with big data and complex networks technology, FS-SAE situation assessment model is built. The emergence relations between the capacity indexes of ADSOS are formalized. And then, the formation mechanism and the contribution rate of capacity indexes are studied and the validity of this approach is validated by the simulation data. The experimental results show that formalized presentation …

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A Model For Battlefield Situation Change Rate Prediction Based On Deep Learning, Jiuyang Tao, Wu Lin, Wang Chi, Junda Chu, Liao Ying, Zhu Feng Jan 2019

A Model For Battlefield Situation Change Rate Prediction Based On Deep Learning, Jiuyang Tao, Wu Lin, Wang Chi, Junda Chu, Liao Ying, Zhu Feng

Journal of System Simulation

Abstract: To measure and estimate the uncertainty of the battlefield situation is of great significance for the commanders to plan the reconnaissance mission and reduce the risk of decision-making. Based on Shannon's information theory, firstly, methods and a model on measurement of situation change rate are proposed. Secondly, a scene with two-dimensional grid elements maneuvering is established, based on deep learning, the prediction method for maneuvering trend is explored. It is proved that cross entropy is equivalent to situation change rate. Finally, with the increase of the objective uncertainty, situation change rate and the accuracy of the forecast is …

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A Deep Spatio-Temporal Rnns Based Coordinated Operational Action Recognition, Yi Zhuo, Liao Ying, Xiaofeng Hu, Xuehui Du, Zhu Feng Jan 2019

A Deep Spatio-Temporal Rnns Based Coordinated Operational Action Recognition, Yi Zhuo, Liao Ying, Xiaofeng Hu, Xuehui Du, Zhu Feng

Journal of System Simulation

Abstract: To address the issues of large feature space, numerous model parameters and slow training speed in coordinated operation action recognition, a coordinated operational action recognition method based on a deep spatio-temporal recurrent neural network is proposed. In this method, a warped region generation mechanism is introduced to divide the whole battlefield into sub-battlefield. Meanwhile, a hierarchical recurrent neural network is constructed using spatio-temporal graph model, which is applied to the generated sub-battlefield to recognize coordinated operational action. Additionally, the recognized coordinated operational actions of sub-battlefields are merged to find out all coordinated operational actions based on the principle of …

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Forestry Fire Spatial Diffusion Model Based On Multi-Agent Algorithm With Cellular Automata, Guoxiong Zhou, Wu Qi, Aibin Chen Jan 2019

Forestry Fire Spatial Diffusion Model Based On Multi-Agent Algorithm With Cellular Automata, Guoxiong Zhou, Wu Qi, Aibin Chen

Journal of System Simulation

Abstract: In view that forestry fire has the nature of multi-phase and multi-component, a forestry fire spatial diffusion model based on multi-agent algorithm with cellular automata is proposed. A method based on Wang Zhengfei-CA model is employed to approximately simulate the spread of forestry fire. On the basis of the status transition rule determined by CA and using the self-learning and variation methods of multi-agent algorithm, the measured forestry fire pattern is most similar to CA rule-driven evolution model and the CA rule can be automatically optimized. By comparatively analyzing the simulation results of the traditional Rothermel model and the …

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Association Rules Analysis Method Of Spatial Data Under Mapreduce Framework, Mingzhi Zhang, Li Yi Jan 2019

Association Rules Analysis Method Of Spatial Data Under Mapreduce Framework, Mingzhi Zhang, Li Yi

Journal of System Simulation

Abstract: Spatial data has the characteristic of extensity, timeliness, multidimensional, large amount of data and complex relations. Some non-conventional data screening tool for analysis and mining is required to find out the patterns, rules and characteristics knowledge in the spatial big data for battlefield situation awareness and battle space management. In view that the existing Apriori algorithm scans the database too frequently, the Apriori algorithm is improved on the basis of working principle of Map Reduce .The fast analysis ideas and technologyframework of spatial data is proposed. An elementary validate prototype is built for the key technology experimentation.Experimental results …

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Dynamics Of Microbubble Confined In Concave Wall In Ultrasound Filed, Jiwen Hu, Jiana Sun Jan 2019

Dynamics Of Microbubble Confined In Concave Wall In Ultrasound Filed, Jiwen Hu, Jiana Sun

Journal of System Simulation

Abstract: The interactions between an ultrasound contrast agent (UCA) microbubble and a concave surface can be applied to understanding of the response of the UCA near blood vessel wall in ultrasound field. A dynamics model of microbubble near a concave wall is presented by a virtual image method and the acoustic reflection effects of the surface. The dynamic behavior of the microbubble is analyzed by numerical calculation. The results show that the microbubble vibration is suppressed near the wall. Inhibitory effects to microbubble vibration near rigid wall are stronger than that of near elastic wall. The microbubble vibration is easier …

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Evolutionary Simulation On User Behavior Of Learning-Oriented Network Community, Lina Jiang, Xiaohong Shan, Xiaoyan Liu, Li Hong Jan 2019

Evolutionary Simulation On User Behavior Of Learning-Oriented Network Community, Lina Jiang, Xiaohong Shan, Xiaoyan Liu, Li Hong

Journal of System Simulation

Abstract: As the Learning-Oriented network platform aims to share knowledge, its users’ behavior is different from that of other network communities. Based on the Mental Accounting Theory, affecting factors of the users’ behavior is analyzed with Structural Equation Model. The simulation model using social computing method is established. This paper makes the comparative analysis on the NETLOGO simulation platform to explore and summarize the rules of users’ behavior. The final mental accounts including "Gaining Knowledge", "Learning Interest", "Sense of Belonging", and "Time". According to the conclusions and experiments, This paper provides the basis of decision making for the …

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A New Image Encryption Algorithm Based On Chaos, Li Lin, Liuyong Kong Jan 2019

A New Image Encryption Algorithm Based On Chaos, Li Lin, Liuyong Kong

Journal of System Simulation

Abstract: In order to increase the security of single chaotic systems, this paper proposesa new image encryption algorithm based on Chen chaotic system, cellular automaton and DNA. The 3-dimension Chen chaotic system is used to generate a pseudo random sequence. The DNA dynamic encoding on plain-text image and cellular automation is completed based on the transformed sequence. The DNA sequence of the plain-text image is divided into blocks, which arethen reorganized. These new groups of the DNA sequence of plain-text are combined with the DNA sequence of cellular automation to carry out the mixed operation with the cipher-text cross diffusion …

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Soc Prediction Of Battery Based On Improved Online Kernel Extreme Learning Machine, Yukun Sun, Manman Li, Yonghong Huang Jan 2019

Soc Prediction Of Battery Based On Improved Online Kernel Extreme Learning Machine, Yukun Sun, Manman Li, Yonghong Huang

Journal of System Simulation

Abstract: In order to conduct an accurate and fast online prediction for the state of charge (SOC) of battery, an improved online kernel extreme learning machine (IO-KELM) algorithm is proposed. In this work, a prediction model is presented with charge voltage, current and surface temperature as inputs and SOC of battery as output. The IO-KELM adopts Cholesky factorization to extend the kernel extreme learning machine (KELM) from offline mode to online mode. Meanwhile, the output weights of the network are updated by successive join of the new samples, and the matrix inverse operation is replaced with arithmetic. Hence, the generalization …

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Computation And Analysis For Coupling Scattering Characteristics Of Low-Fly Target Above Ocean Surface, Guanghui Wu, Chuangming Tong, Dongxun Sui, Yulong Sun Jan 2019

Computation And Analysis For Coupling Scattering Characteristics Of Low-Fly Target Above Ocean Surface, Guanghui Wu, Chuangming Tong, Dongxun Sui, Yulong Sun

Journal of System Simulation

Abstract: Aiming at fast computation of the composite scattering of low-fly target and ocean surface, the improvement of conventional multi-path algorithm is implemented, and a new multi-path algorithm is proposed based on the statistics of mirror facets’ slope. New algorithm takes the modulation from gravity into account in comparison with conventional algorithm. The distribution of mirror facets’ slope is counted from a determined ocean surface, and the multi-path coupling is summed with a weight coefficient, which scatters from mirror facets with different slope. Furthermore, the coupling scattering characteristic is obtained from target and ocean surface. Simulation result indicates that the …

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Passivity-Based Control For Three-Phase Four-Bridge D-Statcom In Low-Voltage Distribution Network, Zheng Hong, Wencheng Xu, Jiawei Zhang Jan 2019

Passivity-Based Control For Three-Phase Four-Bridge D-Statcom In Low-Voltage Distribution Network, Zheng Hong, Wencheng Xu, Jiawei Zhang

Journal of System Simulation

Abstract: Three-phase four-bridge distribution static synchronous compensator (D-STATCOM) has the obvious superiority in solving the problems that brought by the three-phase unbalanced loads in the three-phase four-wire low-voltage power supply system. The Euler-Lagrange (EL) cycle average model is established based on the synchronous rotation d-q-0 coordinates. In the light of the nonlinear and strong coupling characteristics, the passivity-based control (PBC) and inverse cross coupling control strategy using the d-q axis nonlinear decoupling control. PBC controller is designed by energy shaping and damping injection (ESDI) based on the passivity of the system. The closed-loop system is demonstrating asymptotically stable according to …

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Transformer Fault Diagnosis Based On Feature Extraction Of Relative Transformation Principal Component Analysis, Yongbo Tang, Yinguo Xiong Jan 2019

Transformer Fault Diagnosis Based On Feature Extraction Of Relative Transformation Principal Component Analysis, Yongbo Tang, Yinguo Xiong

Journal of System Simulation

Abstract: In order to handle the problem that the feature extraction of dissolved gas analysis (DGA) data by principal component analysis (PCA) is not distinct, a new transformer fault diagnosis method based on relative transformation (RT) PCA is proposed. The original data space is converted to the relative data space by relative transformation which makes the transformed data more distinguishable. PCA is employed to reduce the dimension of relative space to make the features more representative in the relative space. Diagnosis model based on least squares support vector machine (LSSVM) is set up according to the fault characteristic of transformer. …

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Optimizing Control Of Total Heat Supply Based On Machine Learning, Li Qi, Xingqi Hu, Jianmin Zhao Jan 2019

Optimizing Control Of Total Heat Supply Based On Machine Learning, Li Qi, Xingqi Hu, Jianmin Zhao

Journal of System Simulation

Abstract: The central heating system has complex structure, along with the characteristics of hysteresis, strong coupling and nonlinear. Contraposing the problem that the process is difficult to be identified and controlled by the mechanism modeling, an optimal control method of heat source total heat production based on machine learning is proposed. The heat source model of central heating system is established by BP neural network and long short-term memory neural network. Under the premise of meeting the demand of heating quality, with the total energy consumption as the optimization objective, the optimal control sequence of water supply temperature and water …

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Integrated Simulation Of Mixed Traffic Flow On Elementary And Middle School Gate’S Road When Students Going To School, Mingbao Pang, Yanan Pei, Zhang Ning Jan 2019

Integrated Simulation Of Mixed Traffic Flow On Elementary And Middle School Gate’S Road When Students Going To School, Mingbao Pang, Yanan Pei, Zhang Ning

Journal of System Simulation

Abstract: Synthesizing the advantages and disadvantages of social force model (SFM) and cellular automaton model (CAM), a simulation model of mixed traffic flow including pedestrian, motor vehicle and non-motorized vehicle on the interference road section of elementary and middle school’s gate when students going to school was established. The traffic flow characteristics after changing the proportion of students going to school by private car and implementing different traffic organization schemes were analyzed. The results of the examples indicate that its organization phenomena can be realized by decreasing the proportion of pupils taking private cars and implementing different measures of traffic …

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Integrated Berth And Quay Crane Allocation Multi-Objective Algorithm For Container Terminal, Wang Xu, Shixin Liu, Ruiyou Zhang, Wang Jia Jan 2019

Integrated Berth And Quay Crane Allocation Multi-Objective Algorithm For Container Terminal, Wang Xu, Shixin Liu, Ruiyou Zhang, Wang Jia

Journal of System Simulation

Abstract: This paper researches on a continuous berth and quay crane allocation problem for low carbon container terminal. Considering the constraints of stochastic arrival time and limited truck transportation ability, a multi-objective nonlinear mixed integer programming model is established to minimize carbon emissions and average delay time. An efficient non-dominate sorting genetic algorithm II (ENSGA-II) is designed to deal with this problem. According to the characteristics of the problem, encoding rule and decoding rule based on rolling-horizon simulation, PPX crossover operator with elite selection, multi constraints mutation operator and repair operator are adopted. The results of several simulation experiments …

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Achievements And Developments Of Hysteresis And Creep Of Pneumatic Artificial Muscles, Shenglong Xie, Haitao Liu, Jiangping Mei Jan 2019

Achievements And Developments Of Hysteresis And Creep Of Pneumatic Artificial Muscles, Shenglong Xie, Haitao Liu, Jiangping Mei

Journal of System Simulation

Abstract: Regarding to the problems of hysteresis and creep, the developments and achievements of the research on pneumatic artificial muscles at home and abroad are systemically reviewed. The state of the art is summarized in terms of characteristics, reasons causing, modeling and control strategies based on the hysteresis and creep modeling. The problems in recent research are analyzed and the direction for further research is put forward. The theoretical study on hysteresis and creep of pneumatic artificial muscle is limited. The hysteresis modeling needs to consider the time-varied parameters caused by creep. Neural network modeling needs to solve …

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Simulation Optimization On Multi-Ports Slot Plan Problem Considering Dispatching Sequence Of Containers In Yard, Zhang Yu, Huimin Cheng, Xu Jin, Tian Wei, Junfeng Sun Jan 2019

Simulation Optimization On Multi-Ports Slot Plan Problem Considering Dispatching Sequence Of Containers In Yard, Zhang Yu, Huimin Cheng, Xu Jin, Tian Wei, Junfeng Sun

Journal of System Simulation

Abstract: The multi-ports slot plan problem considering dispatching sequence of containers in yard is solved by an integer linear programming model, which minimizes heeling moment. The influences of different dispatching rules on solving the problem are simulated and analyzed through the programming model. Accordingly, a simulation optimization model based on genetic algorithm is constructed in order to enhance the computational efficiency. The simulation optimization model simulates the process of dispatching containers and loading vessel. The feasible solution is constructed through rules sets and inputted into the optimization model. An efficient encoding and decoding solutions are developed in genetic algorithm, …

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A 3d Convolution Neural Network For Operational Aggregation Behavior Prediction, Liao Ying, Yi Zhuo, Xiaofeng Hu, Tian Yuan, Jiuyang Tao Jan 2019

A 3d Convolution Neural Network For Operational Aggregation Behavior Prediction, Liao Ying, Yi Zhuo, Xiaofeng Hu, Tian Yuan, Jiuyang Tao

Journal of System Simulation

Abstract: Operational aggregation behavior prediction has encountered the challenges of large feature space, dynamic changes of related combat units and large behavior noise, etc. To address these issues, a operational aggregation behavior prediction method based on a 3D convolution neural network is proposed. In this method, a three-dimension convolution neural network is constructed by introducing the time dimension into the two-dimension convolution so as to recognize the operational aggregation behaviors. After that, a reconfigurable hierarchical long short-term memory (LSTM) network is adopted to analyze the temporal aggregation behavior data of related combat units, with which the key factors of aggregation …

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Airport Surface Traffic Simulation Based On Agent-Cellular Automaton, Zhiwei Xing, Shijiao Li, Yunxiao Tang, Luo Qian Jan 2019

Airport Surface Traffic Simulation Based On Agent-Cellular Automaton, Zhiwei Xing, Shijiao Li, Yunxiao Tang, Luo Qian

Journal of System Simulation

Abstract: In order to analyze the traffic situation of airport surface, an airport surface traffic simulation method is proposed based on the theory of agent and cellular automaton model. The traffic characteristics of airport surface are analyzed. The combination of agent theory and the cellular automaton model is discussed. Different parts of the airport surface traffic are defined respectively as one-dimensional cellular automaton, and aircraft agent is designed, which means that a traffic simulation model is constructed based on agent-cellular automaton. The airport surface traffic is simulated. Simulation results show that the simulation method has the characteristics of simple, high …

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