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2019

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Articles 691 - 720 of 1263

Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering

Multi-Strategy Cooperative Evolutionary Pso Based On Cauchy Mutation Strategy, Yongji Wang, Tingting Su, Liu Lei Jan 2019

Multi-Strategy Cooperative Evolutionary Pso Based On Cauchy Mutation Strategy, Yongji Wang, Tingting Su, Liu Lei

Journal of System Simulation

Abstract: For improving the performance of particle swarm optimization (PSO) in optimization simulation, a multi-strategy cooperative evolutionary PSO based on Cauchy mutation strategy is proposed. The new algorithm divides the whole swarm into three sub-swarms. A part of particles is selected to Cauchy mutation with a certain probability, and the rest of particles adjust their exploitation and exploration by different evolutionary strategies (large-scale search strategy, local search strategy, and adaptive velocity updating strategy). The sub-swarms share their information to achieve cooperation. Three strategies are used to optimize three test functions, and the result shows the advantages …

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Method Of Visualsimulation Of Rice Leaf Color, Hongyun Yang, Aizhen Sun, Wenji Yang, Huojiao He Jan 2019

Method Of Visualsimulation Of Rice Leaf Color, Hongyun Yang, Aizhen Sun, Wenji Yang, Huojiao He

Journal of System Simulation

Abstract: A color rendering method for rice leaves based on SPAD data distribution image was presented. Rice leaf image was collected and SPAD value was measured by field rice sample test. The relationship model between SPAD values and RGB value of leaf image was analyzed and constructed, and the R2 was 0.932 8, 0.833 1, 0.562 3 respectively. This showed that there was a correlation between SPAD and the red and green color of the leaf image. By the SPAD data distribution image, the spatial distribution of SPAD value on the leaf surface is described. The leaf surface color …

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Dynamic Covering Algorithm Of Node Based On Virtual Force In Wireless Sensor Networks, Zhou Fei, Jianjun Gao, Xinyue Fan, Kangning An Jan 2019

Dynamic Covering Algorithm Of Node Based On Virtual Force In Wireless Sensor Networks, Zhou Fei, Jianjun Gao, Xinyue Fan, Kangning An

Journal of System Simulation

Abstract: Network coverage and node power consumption are two main performance indicators in wireless sensor networks (WSNs). Although many of the existing coverage methods have improved the two indicators, most of them have only improved for one performance, and the merits of another performance have not been discussed in detail. For this insufficient, an improved algorithm based on VFA is proposed. The WSN is divided into unit grids. The nodes select the grid forces and other forces adaptively. Under the combined forces, the nodes are re-deployed and the dynamic coverage of WSN is further optimized, so that the WSN achieves …

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Internet Public Opinion Dissemination Model With Triple Opinion Group Under Media Intervention, Di Lan, Yudi Gu Jan 2019

Internet Public Opinion Dissemination Model With Triple Opinion Group Under Media Intervention, Di Lan, Yudi Gu

Journal of System Simulation

Abstract: By constructing a dissemination model with a discussion of the Internet public opinion, the paper studies the inner rule of the public opinion evolution of the triple opinion group under the influence of the media. In reference to disease transmission model SIR(Susceptible, Infected, Recovered) and the two opinions model SIaIbR(Susceptible, Infected-a, Infected-b, Recovered), this paper presents a public opinion evolution model of the triple opinion group SI3R(Susceptible, triple Infected, Recovered). The SI3R model introduces the concept of neutral groups, and occupies a large proportion in the spread of the population. Through the influence of neutral …

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Modeling And Co-Simulation Of Novel Electric Heave Compensation System, Zhang Qing, Xia Hua, Yang Ning, Xianrong Qin, Yuantao Sun Jan 2019

Modeling And Co-Simulation Of Novel Electric Heave Compensation System, Zhang Qing, Xia Hua, Yang Ning, Xianrong Qin, Yuantao Sun

Journal of System Simulation

Abstract: This paper presents a novel large electric heave compensation system with gear and rack driving mechanism, as comparison to those traditional hydraulic heave compensation systems which have complex structure and poor compensation accuracy. The mechanical-mathematical model of this compensation system is analyzed. According to the control requirement of the heave absolute displacement compensation, the relationship between the input angle of the motor and the excitation of the vessel’s displacement is obtained through the motion equation of the system. A virtual prototype is built with ADAMS, and the dynamic behaviors are simulated in accordance with its configuration and working principle. …

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Broadband 2-D Doa Estimation Based On Continuous Sparse Recovery, Chenxi Wu, Zhang Min, Keren Wang Jan 2019

Broadband 2-D Doa Estimation Based On Continuous Sparse Recovery, Chenxi Wu, Zhang Min, Keren Wang

Journal of System Simulation

Abstract: For the problem of two dimensional underdetermined direction of arrival (2-D DOA) estimation, three parallel sparse arrays are designed and a novel DOA method based on continuous sparse recovery is proposed. The dimension of received data is reduced and the cross covariance matrix is vectorized to improve freedom degree. According to the objection function of the minimization issue based on total variation norm constraint, the space frequency is achieved by solving corresponding dual problem. The center frequency, azimuth and pitch angles are paired by capon method. Theoretical analysis shows the proposed method has a higher array aperture extension and …

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Current Sensor Fault Diagnosis For Induction Motor In Vector Control System, Sun Kai, Baina He, Sarah Odofin, Gu Yu Jan 2019

Current Sensor Fault Diagnosis For Induction Motor In Vector Control System, Sun Kai, Baina He, Sarah Odofin, Gu Yu

Journal of System Simulation

Abstract: A current sensor fault diagnosis method of induction motor in vector control system is proposed. A state-space form including sensor faults and environmental disturbances/noises of induction machine is described. An augmented observer is designed to simultaneously estimate system states, and current sensor faults. To attenuate the effects from the environmental disturbances/noises, a genetic algorithm is employed to design observer gain by minimizing the estimation error against environmental disturbances and noises. A simulation model based on Matlab and real-data of the induction motor collected by experiment is utilized to validate the proposed methods, which show the efficiency of the proposed …

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Heat Transfer Simulation Of Vehicle Heat Exchanger In Plateau Environment, Xu Xiang, Wenchao Suo, Dingfu Yang, Surong Dong Jan 2019

Heat Transfer Simulation Of Vehicle Heat Exchanger In Plateau Environment, Xu Xiang, Wenchao Suo, Dingfu Yang, Surong Dong

Journal of System Simulation

Abstract: The effect of heat transfer caused by plateau environment in vehicle heat exchanger was investigated. The heat transfer equation for heat exchanger was modified by introducing air parameters at different altitudes. A heat transfer modeling approach for vehicle heat exchanger was proposed by using the thermal network method. The heat transfer effect of the plateau and the flow state of fluid medium were analyzed in the vehicle heat exchanger by using the simulation software FlowMaster. Simulation results show that the decrease of pressure and density of air in altitude was the primary cause to heat transfer ability. …

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Simulation On Anti-Swing Of Container Cranes Based On Iterative Learning Control, Liang Gang, Yiming Zhao, Hengming Qin Jan 2019

Simulation On Anti-Swing Of Container Cranes Based On Iterative Learning Control, Liang Gang, Yiming Zhao, Hengming Qin

Journal of System Simulation

Abstract: To achieve the purpose of reducing or even eliminating the fixed stop container’s swinging after container cranes positioning, thereby improving the efficiency of quayside container cranes, the PD-type iterative learning control is selected to perform simulation analysis. This selection is based on the analysis of dynamic properties of quayside container lifting systems and the qualities of the repetitive nature of the swing phase of the container. A fixed initial state is assumed, and the PD parameters are determined after several debugging tasks. Based on Simulink blocks, the entire iterative learning controller model is established to design lifting systems of …

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Effect Of Rail Fracture On Train Shunt-Circuit Current Envelope, Youpeng Zhang, Zhao Jian, Bin Zhao Jan 2019

Effect Of Rail Fracture On Train Shunt-Circuit Current Envelope, Youpeng Zhang, Zhao Jian, Bin Zhao

Journal of System Simulation

Abstract: To analyze change rules of train shunt-circuit current amplitude envelope under the track circuit crack state, a distributed parameter equivalent mathematic model of ZPW-2000A track circuit crack state was constructed based on the transmission theory; and the effect of ballast resistances, the crack points and the crack equivalent impedances on train shunt-circuit currents amplitude envelope were studied using MATLAB. Experiment results show that the ballast resistance, the crack point and the crack equivalent impedance have great influence on train shunt-circuit current amplitude envelope before crack point; and the train shunt-circuit current amplitude envelope occurs discontinuity at the crack …

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Bi-Directional Dc-Dc Converter For Battery Energy Storage, Kun Xia, Xinwei Hong, Yuan Yin, Anghui Chen Jan 2019

Bi-Directional Dc-Dc Converter For Battery Energy Storage, Kun Xia, Xinwei Hong, Yuan Yin, Anghui Chen

Journal of System Simulation

Abstract: A topology of non-isolated bi-directional DC-DC converter is proposed. The converter adopts the synchronous rectifier half bridge buck-boost circuit as the foundation using the voltage and current double closed-loop control method to achieve the function of the lithium batteries charging and discharging. The working principles of the DC-DC converter are analyzed under the charging mode, discharging mode and parallel supply mode. The simulation model for the converter circuit is established in Matlab/Simulink circumstance and the system experiment is built. The simulation and experiment verifies the feasibility and the reliability of the converter. The simulation results show that …

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Embedded Online Fish Detection And Tracking System Via Yolov3 And Parallel Correlation Filter, Shasha Liu, Xiaoyu Li, Mingshan Gao, Yu Cai, Rui Nian, Peiliang Li, Tianhong Yan, Amaury Lendasse Jan 2019

Embedded Online Fish Detection And Tracking System Via Yolov3 And Parallel Correlation Filter, Shasha Liu, Xiaoyu Li, Mingshan Gao, Yu Cai, Rui Nian, Peiliang Li, Tianhong Yan, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

Nowadays, Ocean Observatory Networks, Which Gather and Provide Multidisciplinary, Long-Term, 3d Continuous Marine Observations at Multiple Temporal Spatial Scales, Play a More and More Important Role in Ocean Investigations. in This Paper, We First Perform Image Enhancement to Produce Depth Information and Benefit Many Vision Algorithms and Advanced Image Editing. We Try to Develop a Novel Underwater Fish Detection and Tracking Strategies Combining You Only Look Once (Yolo) Latest Detection Algorithm Yolov3 Algorithm and Parallel Correlation Filter. We Demonstrated on the Nvidia Jetson Tx2 for Online Fish Detection and Tracking, Enabling a Fast System and Rapid Experimentation. It Has Been …

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Scenario Computing For Analysis Of Deep Uncertainty Systems, Liu Yi, Gangqiao Wang, Zhipeng Wu, Zhenqiang Fan, Yongqiang Chen Jan 2019

Scenario Computing For Analysis Of Deep Uncertainty Systems, Liu Yi, Gangqiao Wang, Zhipeng Wu, Zhenqiang Fan, Yongqiang Chen

Journal of System Simulation

Abstract: A method of scenario computing is developed for modeling systems with deep uncertainty. The method consists three complementary parts: hybrid modelling, diverse computing, and interactive validation. Hybrid modelling is to dynamically develop models with merging historical knowledges and observed information. Diversity computation is to simulate multiple plausible scenarios about system future. Interactive validation helps scenario computing process being on the right way instead of deviating. Two cases are provided in this paper applying scenario computing, one is earthquake and the other is driving and transportation. The results show good performance of scenario computing method in modeling uncertainty systems.

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Mathematical Modeling And Simulation Of Hydraulic Gauge Control System, Weigang Li, Guilin Tao Jan 2019

Mathematical Modeling And Simulation Of Hydraulic Gauge Control System, Weigang Li, Guilin Tao

Journal of System Simulation

Abstract: On the basis of hydraulic valve control cylinder model and combining with the structure and load characteristics of the hydraulic gauge control system (HGC), a “flow linearization” model for HGC was presented and the shortcomings of the model in analyzing the dynamic characteristics of HGC were pointed out. In view of the characteristics of the large load variation range of HGC and according to the principle of “load compensation”, the flow correction coefficient and the related transfer function were analyzed and deduced, and the mathematical model of HGC based on “load compensation” was established. Combined with a practical …

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Simple Chaotic Circuit Based On Memristance Function With Real Exponents Power, Xiaohong Zhang, Yanli Qi Jan 2019

Simple Chaotic Circuit Based On Memristance Function With Real Exponents Power, Xiaohong Zhang, Yanli Qi

Journal of System Simulation

Abstract: The simplest chaotic circuit contains only three circuit elements: a linear passive inductor, a linear passive capacitor and a nonlinear active memristor. In the design of memristors, power of memristance function polynomial with integral exponents is commonly used. On this basis, a general memristor is designed, of which the memristance function polynomial uses power with real exponents, a simple chaotic system is constructed based on the designed memristor. The influence of integral exponents, real exponents and linear parameters on dynamic behaviors is investigated, and chaotic behaviors are analyzed qualitatively using Lyapunov exponents. The Matlab and Multisim simulation results show …

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Simulation Research Of Closed Control System For Equipment Operation And Maintenance With Parts Inventory System, Li Bing, Wang Xing, Xuan Hua, Xueyuan Wang Jan 2019

Simulation Research Of Closed Control System For Equipment Operation And Maintenance With Parts Inventory System, Li Bing, Wang Xing, Xuan Hua, Xueyuan Wang

Journal of System Simulation

Abstract: The highly reliable equipment operation and maintenance system is very important to enterprise’s safety production. The control system for equipment operation and maintenance with a parts inventory system is generally discussed. The proposed system is composed of a parts inventory subsystem, an equipment operation subsystem and an equipment maintenance subsystem as parallel and series form. And the control system belongs to a multi-level closed loop system. The system is a kind of discrete event dynamic system. So it is difficult to be described with traditional mathematical analysis methods. The multi-class closed control system simulation model is established with Simulink …

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Error Estimation For Material Simulation Data Based On Hybrid Learning Algorithm, Wang Juan, Xiaoyu Yang, Zongguo Wang, Ren Jie, Xushan Zhao Jan 2019

Error Estimation For Material Simulation Data Based On Hybrid Learning Algorithm, Wang Juan, Xiaoyu Yang, Zongguo Wang, Ren Jie, Xushan Zhao

Journal of System Simulation

Abstract: In order to obtain high quality material simulation data from Density Functional Theory material calculation software package, a modeling method based on BP neural network was proposed to build model estimating the error of material simulation data. A novel hybrid algorithm combining simple particle swarm optimization algorithm that excludes speed item with BP algorithm, also referred to tsPSO-BP, was proposed to optimize the connection weights of the BP neural network. The hybrid learning algorithm not only makes use of strong global searching ability of the PSO, but also strong local searching ability of the BP algorithm. The BP …

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Research On Fault-Tolerant Flight Control Computer System Based On Dynamic Reconfiguration, Xiaozhe Sun, Zongji Chen, Yongliang Gu Jan 2019

Research On Fault-Tolerant Flight Control Computer System Based On Dynamic Reconfiguration, Xiaozhe Sun, Zongji Chen, Yongliang Gu

Journal of System Simulation

Abstract: The fault-tolerant Fly-By-Wire flight control systems of four advanced aircrafts of Boeing and Airbus series (B777, B787, A340 and A380) were analyzed and compared. The disadvantages needed to be improved were explored in terms of software reliability and system reconfiguration of Boeing and Airbus Fly-By-Wire flight control systems. A novel redundant fault-tolerant flight control computer (FCC) system was presented. The proposed FCC scheme was qualitatively and quantitatively compared with redundant FCC of Boeing and Airbus. The three schemes' reliability was modelled and evaluated through the hierarchical hybrid modelling method. The conclusions are obtained as follows: the proposed …

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Multi-Dimension Proportion-Differential Nonlinear Pilot Model And Simulation Application, Weian Jiang Jan 2019

Multi-Dimension Proportion-Differential Nonlinear Pilot Model And Simulation Application, Weian Jiang

Journal of System Simulation

Abstract: For better simulated study of pilot’s accident avoidance ability and pilot induced oscillation (PIO) characteristic of a man-aircraft close loop system, a method of “physiology-psychology-physiology” is presented to divide pilot models into three parts of input(signal), processing(decision making) and output(action), and a new multi-dimension proportion-differential nonlinear pilot model (MPDNLPM) is presented also. Simulated study is performed by simulated control of an aircraft pitch control model under backside tracking status for carrier landing. Conclusion: 1) The control performance of the man-aircraft system is slightly better than an ideal proportional control. 2) PIO is possible for well-trained pilot. 3) Proper anticipation, …

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Simulation Research On Predictive Wavelet Neural Network Intelligent Control System, Jingwei Liu, Zhou Rui, Zhao Hui, Minling Zhu, Xianghua Meng, Yuhao Zhang Jan 2019

Simulation Research On Predictive Wavelet Neural Network Intelligent Control System, Jingwei Liu, Zhou Rui, Zhao Hui, Minling Zhu, Xianghua Meng, Yuhao Zhang

Journal of System Simulation

Abstract: In order to realize control parameters online tuning and optimizing applications in the high risk and high pollution environment, vector time series prediction based intelligent control methods are proposed, which are combined autoregressive moving average vector time series predictive method and wavelet neural network method. Based on theoretical and comparative research: feasibility, stability, better dynamic characteristics, less steady-state error of the proposed methods are verified. A comparative simulation platform for the above intelligent control system is provided. Stability guarantee method of the above new methods is given.

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Hybrid Decoding Algorithm For Low-Density Parity-Check Codes, Guowei Qu, Xiaoping Song Jan 2019

Hybrid Decoding Algorithm For Low-Density Parity-Check Codes, Guowei Qu, Xiaoping Song

Journal of System Simulation

Abstract: A hybrid decoding algorithm for low-density parity-check (LDPC) codes based on the soft-decision iterative decoding method and the erasure decoding method is proposed. If a decoding error is detected when the maximum iteration number of the soft-decision iterative decoding is reached, a decision is made on each bit whether it is zero or one or an erasure according to the cumulative reliability of the bit in the iterative process. Then the decision result is decoded with erasure decoding. Simulation results on random LDPC codes with moderate length indicate that the proposed hybrid decoding algorithm outperforms the traditional soft-decision iterative …

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Trust Evaluation Model Based On Fuzzy Set And D-S Evidence Theory In Wireless Sensor Network, Zhiping Zhou, Xiaoxiao Zhao, Nannan Shao Jan 2019

Trust Evaluation Model Based On Fuzzy Set And D-S Evidence Theory In Wireless Sensor Network, Zhiping Zhou, Xiaoxiao Zhao, Nannan Shao

Journal of System Simulation

Abstract: A trust evaluation model based on fuzzy set and D-S evidence in wireless sensor network is proposed. Considering security requirements and energy consumption, three typical trust factors are defined to calculate node’s direct trust which is for fuzzy classification by using fuzzy set theory. Fuzzy membership function is the basic belief function of the D-S evidence theory. Indirect trust is obtained from neighbor nodes’ recommendations, the direct trust and indirect trust are fused according to Dempster combination rule after being amended with weight. The effective combination of identity-based cryptosystem and the trust management mechanism improve the security …

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Forestry Felling & Cultivation Machine Virtual Training System Based On Unity3d, Bowen Cheng, Yili Zheng, Qingqing Huang, Jinhao Liu Jan 2019

Forestry Felling & Cultivation Machine Virtual Training System Based On Unity3d, Bowen Cheng, Yili Zheng, Qingqing Huang, Jinhao Liu

Journal of System Simulation

Abstract: A forestry felling & cultivation machine virtual training system based on Unity3D was developed. The models of forestry felling & cultivation machine were built up using 3dsMAX with the assistance of SolidWorks based on a forestry felling & cultivation machine. The models of forestry felling & cultivation machine and trees were imported into Unity3D to create a virtual operating environment. Each part of forestry felling & cultivation machine needs to be processed for the establishment of paternity in accordance with the simulation, the corresponding mathematical model was established to simulate the motion of the manipulator based on the analysis …

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Elevator Traffic Pattern Recognition With Fcm Clustering Based Fuzzy Neural Network, Zhenshan Yang, Wenjiao Yue Jan 2019

Elevator Traffic Pattern Recognition With Fcm Clustering Based Fuzzy Neural Network, Zhenshan Yang, Wenjiao Yue

Journal of System Simulation

Abstract: Elevator traffic demand pattern recognition is the prerequisite for effectively implementing the strategies of elevator group control system. In view of the characteristics of time-varying, nonlinear and uncertainty of elevator traffic demand, an elevator traffic pattern recognition method with FCM (Fuzzy C-means) clustering based fuzzy neural network is presented. The method introduces the fuzzy logic into the calculation and learning of BP neural network, and employs FCM clustering algorithm to cluster the original traffic demand to realize the fuzzy partition of the input space of fuzzy system to determine the initial value of network membership function and clustering center …

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Parallel Pattern Recognition Of Leak Current Data Using Spark-Knn, Li Li, Yongli Zhu, Yaqi Song Jan 2019

Parallel Pattern Recognition Of Leak Current Data Using Spark-Knn, Li Li, Yongli Zhu, Yaqi Song

Journal of System Simulation

Abstract: With the rapid development of smart grid, the status monitoring data of power grid equipment increase exponentially and gradually form the big data. Traditional computing architectures are no longer to meet the demand of computing performance. This paper explores how Spark and Cloud computing can accelerate performance of missive insulator leak current data pattern recognition. The Parallel KNN (k-Nearest Neighbor) algorithm is designed and implemented by using Spark and Aliyun E-MapReduce cloud computing platform. The results from experiments show that the performance of Spark-KNN is 2.97 times of MapReduce-KNN and gains acceleration of 8.8 times. The experimental results confirm …

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Application Of Multiple-Stepwise And Kalman Filtering In Haze Forecast, Yunhao Xian, Hengde Zhang, Yonghua Xie, Le Yang Jan 2019

Application Of Multiple-Stepwise And Kalman Filtering In Haze Forecast, Yunhao Xian, Hengde Zhang, Yonghua Xie, Le Yang

Journal of System Simulation

Abstract: Considering the importance of objective haze forecast and the low accuracy rate of haze forecast, a new haze objective forecast correction method based on the multiple stepwise regression algorithms and the Kalman filtering algorithm is proposed. The multiple stepwise regression method is used to control the physical factor of the dependent variable, and the visibility forecast equation is established. The Kalman filtering method is adopted to correct the regression coefficient in multivariate stepwise regression algorithm according to the actual data, and the haze objective forecast correction model is established. The experiments are carried out in Beijing, Guangzhou, Nanjing and …

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Optimal Operation Of Grid-Connected Microgrid Based On Abc Algorithm, Qiuli Cui Jan 2019

Optimal Operation Of Grid-Connected Microgrid Based On Abc Algorithm, Qiuli Cui

Journal of System Simulation

Abstract: An optimal scheduling model of grid-connected microgrid composed of wind power generators, photovoltaic cells, fuel cells and batteries is established. The economy and environmental protection elements are considered in this model. To maximize the role of peak shaving and valley filling in microgrid system, based on the time-of-use price mechanism, the heuristic rules combined with peak shaving and valley filling is used to design a grid-connected energy scheduling strategy. By monitoring the net load state and the price time interval, and adjusting the particular state of the micro source of power, the system optimal energy scheduling state is obtained. …

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Stress Distribution Formula Of Threads Casing Joint Under Symmetrical Load, Tong Hua, Xiaohong Tang, Xiaohua Zhu, He Huan, Haoran Tao Jan 2019

Stress Distribution Formula Of Threads Casing Joint Under Symmetrical Load, Tong Hua, Xiaohong Tang, Xiaohua Zhu, He Huan, Haoran Tao

Journal of System Simulation

Abstract: While itis difficult tomeasure thestress distribution of casing threads underground without calculation by finite element method. Here assumes a deformation compatibility factor Ux, use an initial calculation to represent the thread stress, f(x)=f0Ux, and applythe ABAQUS finite element software to calculate the stress distribution of the threads under different symmetrical loads. Obtain the expressions of Ux by curve fitting, and get the threads stress calculation formula to provide an intuitive, fast and accurate method of calculation for the site. Providea theoretical reference for development and manufacture of casing …

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Overview Of Multi-Agents Modeling And Simulation For Underwater Unmanned Combat Systems, Hongtao Liang, Fengju Kang, Yanfang Fu Jan 2019

Overview Of Multi-Agents Modeling And Simulation For Underwater Unmanned Combat Systems, Hongtao Liang, Fengju Kang, Yanfang Fu

Journal of System Simulation

Abstract: Military UUV is developing toward the direction of intellectualization and coordination of multi-UUV system. It is composed of complex underwater unmanned system (UUS) with changeable underwater environment and complex combat mission. Multi-agents (MAS) modeling technology has become the mainstream method to study this kind of complex system. The development and characteristics of UUS are briefly and comprehensively reviewed. The latest developments of MAS theory are systematically summarized, and MAS modeling and simulation technology for multi-UUV cooperative combat system (MUCCS) are analyzed. A novel MAS theory method, that is immune agent interactive network (IAIN), is proposed, which combines the modeling …

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Neural Coding Model For Fast And Significant Perceptual In The Pigeon Optic Tectum, Songwei Wang, Shuman Huang, Shi Li, Mengke Wang Jan 2019

Neural Coding Model For Fast And Significant Perceptual In The Pigeon Optic Tectum, Songwei Wang, Shuman Huang, Shi Li, Mengke Wang

Journal of System Simulation

Abstract: In the classical target recognition theory, many neurons in the mammalian retina and LGN perform DoG operations. Their functions are generally considered to be whitening, eliminating redundancy, and enhancing edges. Where is the redundant information? In this paper, the electrophysiological study of the ON-OFF neurons of the dove optic roof was performed. It was found that the FSL was used to carry out the rough and fast transfer of the whole scene information, and then the salient features in the scene were successively transmitted using the issue rate. For this reason, by analyzing the response pattern of neurons, this …

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