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Articles 3571 - 3600 of 3895

Full-Text Articles in Systems Science

Simulation Of Wind Power Prediction Based On Improved Elm, Wang Hao, Wang Yan, Zhicheng Ji Jan 2019

Simulation Of Wind Power Prediction Based On Improved Elm, Wang Hao, Wang Yan, Zhicheng Ji

Journal of System Simulation

Abstract: To predict the range of ultra-short-term wind power fluctuation effectively, a combined forecasting model based on fuzzy information granulation (FIG) and genetic algorithm optimization extreme learning machine (GA-ELM) is proposed. The parameters of wind power are granulated by fuzzy information, and the corresponding valid information including the maximal value, the minimum value, and the general average value in time series window is further extracted. By integrating the effective components of each parameter as training samples, the GA-ELM-based prediction model is established. The range of wind power fluctuation in next time series is forecasted through using the optimized model. The …

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Adaptive Backstepping Sliding Mode Control For Straight Line Track Of Unmanned Transport Ship, Mingcong Li, Guo Chen, Yuan Yi Jan 2019

Adaptive Backstepping Sliding Mode Control For Straight Line Track Of Unmanned Transport Ship, Mingcong Li, Guo Chen, Yuan Yi

Journal of System Simulation

Abstract: With the development of unmanned ship technology, the intelligent control of ships is gradually used on large unmanned transport ships. In the course of navigation, ships are often disturbed by various nonlinear factors. Based on Norbbin nonlinear ship motion model, and adopting Lyapunov stability theorem to guarantee the stability of the closed-loop control system, a new sliding mode control method is proposed. Combined with backstepping, a backstepping sliding mode control method is designed to control the line track of ship on condition that the bound of disturbance is known. If the bound of disturbance is unknown, an adaptive …

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Target Tracking Simulation For Unmarked Augmented Reality System Based On Kcf, Zhili Zhang, Wang Chao, Long Yong, Shaodi Wang Jan 2019

Target Tracking Simulation For Unmarked Augmented Reality System Based On Kcf, Zhili Zhang, Wang Chao, Long Yong, Shaodi Wang

Journal of System Simulation

Abstract: An AR system based on the kernelized correlation filter (KCF) target tracking is designed for solving the problem of the insufficiency of tracking in the unmarked augmented reality (AR). The KCF is used to identify and track the targets. The relevant parameters of the camera position are imported. The openGL graphical program interface is called to load the precast object onto the target. The KCF simulation experiment is carried out to track the target with visual studio. The results show that the AR application system based on KCF method can effectively improve the real-time performance of target tracking, and …

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Fault Diagnosis Of High Speed Train Bogie Based On Multi-Domain Fusion Cnn, Yunpu Wu, Weidong Jin, Yingkun Huang Jan 2019

Fault Diagnosis Of High Speed Train Bogie Based On Multi-Domain Fusion Cnn, Yunpu Wu, Weidong Jin, Yingkun Huang

Journal of System Simulation

Abstract: The performance degradation and failures of high-speed train bogie components directly threaten the operation security of train. A fault detection method based on multi-domain fusion convolutional neural network is proposed to address the high complexity, high coupling and strong nonlinearity of vibration signals. Noise injection for time domain signal is used to enhance noise robustness and generalization of the model. Signal time-frequency representation information is obtained through embedded time-frequency transformation layer. Adaptive weight-based fusion is implemented through intrinsic characteristics of the convolutional neural network to handle the multi-domain multi-channel information. The experimental results show that the proposed method improves …

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Forward Algorithm Of Lwd Azimuthal Gamma, Qifeng Sun, Youxiang Duan, Yanan Yan, Hongqiang Li Jan 2019

Forward Algorithm Of Lwd Azimuthal Gamma, Qifeng Sun, Youxiang Duan, Yanan Yan, Hongqiang Li

Journal of System Simulation

Abstract: The study of the LWD (Logging While Drilling) azimuthal gamma imaging mode under different geological structures can provide bases for fast and accurate identification of drilled formation. The detection model of LWD azimuthal gamma is set up, and physical models of several positions of the formation and gamma detector is established, combining the descartes coordinate with the spherical coordinate, an azimuthal gamma log response algorithm under different position models is derived. Comparing the simulated results with the measured results of the azimuthal gamma ray logging tool, it is proved that the algorithm can effectively simulate the response characteristics of …

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Research On Network Public Opinion Simulation From Interdisciplinary Perspective, Lingnan He, Kaisheng Lai, Zhongxuan Lin, Xiling Xiong Jan 2019

Research On Network Public Opinion Simulation From Interdisciplinary Perspective, Lingnan He, Kaisheng Lai, Zhongxuan Lin, Xiling Xiong

Journal of System Simulation

Abstract: The simulation of network public opinion shows a trend of interdisciplinary development. On the one hand, the method of data analysis in network public opinion belongs to natural science; on the other hand, participants are social people and have strong social scientific attributes. However, at present, most of the simulation models come from the natural science fields such as system dynamics, Markov model, small-world theory and SIS model, etc. This paper introduces the big five personality of psychology, media literacy of communication, opinion leaders and diffusion of innovation theory, taking the psychological modeling in the dissemination of the main …

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Reviews Of Project Organization Simulation Modeling Method Based On Computational Organization Theory, Jiwei Zhu, Li’Nan Zhou, Zhai Zhao Jan 2019

Reviews Of Project Organization Simulation Modeling Method Based On Computational Organization Theory, Jiwei Zhu, Li’Nan Zhou, Zhai Zhao

Journal of System Simulation

Abstract: Modeling simulation on project organization combines qualitative individual behavior, organizational behavior and task process, which effectively solves the backlog of tasks, rework and other issues caused by the organizational complexity. The modeling method based on the computational organization theory is divided into organization simulation modeling based on system dynamics, organization simulation modeling based on Agent and organization social network modeling based on SNA. The system dynamics simulates the business process from the perspective of macro organization system. The Agent organization model is able to emerge macro behaviors of organization though simulation of micro behaviors. The SNA method focuses on …

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Research On Interaction Model Of Hand Tracking Based On Cognitive Theory, Shaobai Zhang, Zhang Teng Jan 2019

Research On Interaction Model Of Hand Tracking Based On Cognitive Theory, Shaobai Zhang, Zhang Teng

Journal of System Simulation

Abstract: This paper aims to solve the problems in a vector integration to endpoint (VITE) model of human reaching and grasping under perturbations of object size, distance and orientation. We discuss how to reduce the numbers of disturbances of three main kinds of components: hand/wrist transport, grip aperture and hand orientation. Based on the achievements of cognitive psychology, and a tracking and cognitive model for operational 3D gestures, this paper proposes a new divide-and-conquer model that is used for indicating current grasping status and to trigger three main kinds of methods of when to start or stop working. The model …

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Research Of 3d Urban Modeling Based On 2d Digital Maps, Jinlian Du, Xu Shuo, Fengchao Zhao Jan 2019

Research Of 3d Urban Modeling Based On 2d Digital Maps, Jinlian Du, Xu Shuo, Fengchao Zhao

Journal of System Simulation

Abstract: In order to reduce the cost of 3D urban modeling, an automatic modeling method for large-scale urban scene based on 2D digital maps is proposed. In this method, ground features are classified firstly according to the characteristic that different features in 2D digital map have different color, then an extraction algorithm is designed to obtain the ground feature’s boundary, and at the same time, a simplified algorithm based on distance measurement is designed for generating the boundary’s key points of ground features which construct the geometry information of the ground features in 2D digital maps. Finally, the generating rule …

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Lateral Force Measurement And Processing Of Planar Air-Bearing System For Microgravity Simulation, Xinfeng Li, Xiang Dong, Xinghua Tian, Wei Wei Jan 2019

Lateral Force Measurement And Processing Of Planar Air-Bearing System For Microgravity Simulation, Xinfeng Li, Xiang Dong, Xinghua Tian, Wei Wei

Journal of System Simulation

Abstract: An approach of direct force measurement is proposed to estimate the lateral force of a planar air cushion system. Lateral force gauges are arranged around the planar air bearing platform with preloading force exerted before afloat. Lateral force and its torque with respect to the geometric center can be obtained from the gauge variations while the afloat system reaches balance. Friction coefficient in every touch-spot can be evaluated with least square state estimation, which changes to a generic minimum problem with constraints since its solution matrix has a rank deficit. The analysis based on the test of a specified …

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Apt-Oriented Dynamic Assessment Of Attack Behaviors, Jindong Wang, Haopu Yang, Hengwei Zhang, Li Tao Jan 2019

Apt-Oriented Dynamic Assessment Of Attack Behaviors, Jindong Wang, Haopu Yang, Hengwei Zhang, Li Tao

Journal of System Simulation

Abstract: The existing attack assessment methods cannot effectively deal with the long-term concealment in APT attack. Aiming at the accurate assessment of attack behaviors in APT attack, the APT-oriented dynamic assessment of attack behaviors which focuses on both the space dimension and the time dimension is proposed. The attack behaviors are correlated in the causality-diversion among the whole network system to discover the attack paths. The attack paths are modified in the time-diversion to get the dynamic causal attack traces. The attack traces are quantified based on CVSS standard. The experimental result shows that the proposed method can correctly …

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Optimizing Initial Cluster Centroids By Svd In K-Means Algorithm For Chinese Text Clustering, Yueming Dai, Minghui Wang, Zhang Ming, Wang Yan Jan 2019

Optimizing Initial Cluster Centroids By Svd In K-Means Algorithm For Chinese Text Clustering, Yueming Dai, Minghui Wang, Zhang Ming, Wang Yan

Journal of System Simulation

Abstract: In process of clustering with traditional K-means algorithm, it is difficult to identify the value of the number of clusters K and its clustering results are influenced by initial centers. It has the weakness of sensitivity to noise and instability. Meanwhile, to solve the problems for the high dimensions, sparse spatial and latent semantic structure of the text data, an algorithm for Chinese text clustering was proposed. This new algorithm uses the physical significance of Singular Value Decomposition (SVD) to firstly classify the data rough, and then uses K-means for text clustering. It applies SVD to decompose and keep …

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Simulation On Transaction Connection Strength Considering Price Preference, Zheng Wen, Yapeng Li, Yingying Ma Jan 2019

Simulation On Transaction Connection Strength Considering Price Preference, Zheng Wen, Yapeng Li, Yingying Ma

Journal of System Simulation

Abstract: Under LDP (Large-user Direct purchase) mode of power system, interests of the imbalance distribution exist in the power system in the long-term, due to the sensitivity of the larger user to the price to a certain extent. The impact of price preference on the transaction connection strength is analyzed, constructing the states of the interest distribution by using the Swarm simulation platform. The results of the simulation suggest that the higher the priority probability is, the more concentrated the power system becomes. It shows the non-natural monopoly caused by the market power. The results of this study can be …

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Mechanism Of Biofouling Control On Micro-Structured Surface, Chunxi Li, Quanxi Xue, Zhang Shuo, Xuemin Ye Jan 2019

Mechanism Of Biofouling Control On Micro-Structured Surface, Chunxi Li, Quanxi Xue, Zhang Shuo, Xuemin Ye

Journal of System Simulation

Abstract: Changing the wall microstructure geometry can improve the performance of surface antifouling and selfcleaning. A 3D numerical simulation of microfluidic in the near-wall region attached with microorganisms is performed with Fluent, and the kinetic and dynamic characteristics of fluid in the near- wall region are examined. The inherent mechanism of antifouling on microwell surfaces is discussed. Results reveal that streamwise vortices are formed in the microwells, thus the distinctly periodic fluctuations of velocity, strain rate and wall shear stress on microwell surfaces are exhibited, resulting in the interference on microorganisms migration and the harder adhesion of microorganisms to …

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Optimization Of Tip Clearance Patterns Of Variable-Pitch Axial Flow Fan, Xuemin Ye, Jianguang Cui, Chunxi Li Jan 2019

Optimization Of Tip Clearance Patterns Of Variable-Pitch Axial Flow Fan, Xuemin Ye, Jianguang Cui, Chunxi Li

Journal of System Simulation

Abstract: The performance of the axial fan can be improved by optimization of blade tip pattern effectively. For a variable pitch axial flow fan of OB-84 type, the performance of the fan with uniform tip clearance and non-uniform tip clearance are simulated by using Fluent. The impacts of tip patterns on leakage flow field and loss distribution in the tip clearance are examined. The results reveal that when average tip clearance keeps constant, the total pressure rise and efficiency of the fan with convergent tip clearance patterns are higher than those of uniform tip clearance, and the domain of higher …

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Predator-Prey Dynamics-Based Optimization, Qiuqin Lu, Guangqiu Huang Jan 2019

Predator-Prey Dynamics-Based Optimization, Qiuqin Lu, Guangqiu Huang

Journal of System Simulation

Abstract: To solve the complex function optimization problem, a predator-prey dynamics optimization algorithm is proposed. The algorithm assumes that there are two species of predator and prey in an ecosystem. There is competition among the same species, the higher the population density, the more intense the competition, and then characteristics of populations are more likely to produce changes; strong populations are more likely to defeat weak populations when competition, and thus to obtain significant changes in their own characteristics. When predator populations eat prey populations, their characteristics also change. The competition operator, the predator-prey operator and the growth operator are …

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Event Triggered Optimization Method For Dynamic Task Decomposition Mode In Cloud Fusion, Wang Yan, Lijun Cheng Jan 2019

Event Triggered Optimization Method For Dynamic Task Decomposition Mode In Cloud Fusion, Wang Yan, Lijun Cheng

Journal of System Simulation

Abstract: Aiming at the characteristics of randomness, dynamics, diversity and uncertainty of arrival time in the cloud fusion mode, two triggered tasks of the new tasks randomly reaching the cloud platform and the non-executable sub-tasks are considered. To improve the sub-tasks correlation degree and the workload balance of each group, the coupling degree of the sub-tasks is decreased, and an event-triggered mechanism (ETM) based optimization method for dynamic task decomposition mode is proposed. On the basis of the unified tasks description, the optimal flow of dynamic task decomposition is designed to determine the sub-tasks information flow. A multi-objective …

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Research On Evaluation Framework Of Coa Based On Wargaming, Haiyang Liu, Yubo Tang, Xiaofeng Hu, Guangpeng Qiao Jan 2019

Research On Evaluation Framework Of Coa Based On Wargaming, Haiyang Liu, Yubo Tang, Xiaofeng Hu, Guangpeng Qiao

Journal of System Simulation

Abstract: Aiming at the evaluation problem of COA (course of action) level indicators in joint operation, an evaluation framework of COA based on wargaming was proposed. By multidimensional analysis of wargaming data, an evaluation feature space was constructed from basic features generated by data cube models and SoS (system of systems) features based on complex network. Wargaming experiments were used to generate small batch metrics results of COA level indicators, and the corresponding result labels of evaluation feature space data were generated by data fitting method. Two-phase correlation analysis was used for dimensionality reduction of high dimensional evaluation features. …

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Intelligent Technology Of Command And Control System In The Rts Perspective, Wenfeng Wu, Zhang Yu, Rong Ming Jan 2019

Intelligent Technology Of Command And Control System In The Rts Perspective, Wenfeng Wu, Zhang Yu, Rong Ming

Journal of System Simulation

Abstract: Real-Time Strategy (RTS) games have important reference value for studying the intelligent technology of command and control systems. The similarities between RTS games and the strategic battle level command and control systems are described according to the decision process. The challenges brought by the problems of planning, learning, uncertainty and space-time reasoning in the intelligent technology of RTS games are analyzed. The key technologies and latest research progress of action sequence planning, plan recognition, state assessment, multi-agent collaboration and multi-scale AI are studied. The trend of intelligent technology development of strategic and operational level command and control systems is …

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Extensible Battle Management Ontology Language, Zaijiang Tang, Xiangzhong Xue, Xue Qin Jan 2019

Extensible Battle Management Ontology Language, Zaijiang Tang, Xiangzhong Xue, Xue Qin

Journal of System Simulation

Abstract: The interoperability of command and control system with combat simulation system is an important and difficult problem in the construction of practical training environment. Aiming at the existing problems of semantic interoperability of language description, the battle management language, web ontology language and extensible markup language are studied. Based on ontology theory, the extensible battle management ontology language (XBMOL) is proposed. The syntax structure and semantic annotation of XBMOL are analyzed as an extension to the C-BML. The XBMOL 6W1H architecture is designed, and the extensible grammatical structure and semantic tagging are described. An example with XBMOL is given …

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Visual Object Tracking Algorithm Based On Deep Denoising Autoencoder Over Rgb-D Data, Mingxin Jiang, Zhigeng Pan, Lanfang Wang, Taoxin Hu Jan 2019

Visual Object Tracking Algorithm Based On Deep Denoising Autoencoder Over Rgb-D Data, Mingxin Jiang, Zhigeng Pan, Lanfang Wang, Taoxin Hu

Journal of System Simulation

Abstract: A visual object tracking algorithm based on cross-modality features deep learning over RGB-D data is proposed. A sparse denoising autoencoder deep learning network is constructed, which can extract cross-modal features of the samples in RGB-D video data. The cross-modal features of the samples are input to the logistic regression classifier, the observation likelihood model is established according to the confidence score of the classifier, and the reasonable state transition model is established. The object tracking results over RGB-D data are obtained using particle filtering algorithm. Experimental results show that the proposed method has strong robustness to abnormal changes. …

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Service Recommended Trust Algorithm Based On Cloud Model Attributes Weighted Clustering, Jindong Wang, Zhiyong Yu, Hengwei Zhang, Fang Chen Jan 2019

Service Recommended Trust Algorithm Based On Cloud Model Attributes Weighted Clustering, Jindong Wang, Zhiyong Yu, Hengwei Zhang, Fang Chen

Journal of System Simulation

Abstract: In cloud computing, there are cloud services of different qualities. How to choose credible and reliable service has become a key issue when users select services. Aiming at the shortcomings of the existing evaluation methods, a service clustering method based on attributes weighted cloud model is proposed. The users’ evaluation similarity with weighted Pearson correlation coefficient method based on service clustering is calculated. The users’ similarity combined with the index weights of users’ service selection is computed. The nearest neighbors are gotten. The recommendation trust of the services with the recommendation trust algorithm is obtained. Simulation results …

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Simulation Data-Driven Modeling Approach For Space Information Network, Yang Xing, Wu Jing, Jianguo Zhou, Jiang Hao, Zhu Jie Jan 2019

Simulation Data-Driven Modeling Approach For Space Information Network, Yang Xing, Wu Jing, Jianguo Zhou, Jiang Hao, Zhu Jie

Journal of System Simulation

Abstract: Aiming at the problem for the research on the simulation and modeling of the space information network (SIN) with high complexity, a SIN modeling approach based on simulation data is proposed. On this basis, a deep predictive auto-encoder network for SIN performance indicators and a hybrid forecasting analysis model with random forest regression are designed. Due to the characteristics of high dimensionality and wide distribution of SIN performance indicators, with using the deep learning auto-encoder network, the construction of SIN performance index is realized. Combined with the random forest regression model, the relationship model between the network design parameters …

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Two-Sided Matching Decision Model Between Task And Resource For Cloud Fusion, Lijun Cheng, Wang Yan Jan 2019

Two-Sided Matching Decision Model Between Task And Resource For Cloud Fusion, Lijun Cheng, Wang Yan

Journal of System Simulation

Abstract: The disjointing of cloud task-to-resource matching link is a prominent problem in the cloud fusion process. Aiming at this problem, a cloud-based fusion task assignment model optimization method based on the improved knowledge migration maximum entropy clustering algorithm (KT-MECA) is proposed, in which the two-sided satisfaction of tasks and resources is considered. The algorithm improves the introduction of historical clustering center knowledge and membership degree knowledge, improves clustering performance and stability, and solves the problem that traditional clustering algorithms cannot be applied to dynamic cloud resource clustering. Considering the two-side subject satisfaction, the result of KT-MECA is applied to …

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Improved Intrusion Weed Algorithm For Solving Flexible Job Shop Scheduling Problem, Zhang Xin, Li Ke, Dahu Yan, Zhicheng Ji Jan 2019

Improved Intrusion Weed Algorithm For Solving Flexible Job Shop Scheduling Problem, Zhang Xin, Li Ke, Dahu Yan, Zhicheng Ji

Journal of System Simulation

Abstract: An improved invasive weed optimization algorithm is proposed for solving multi-objective flexible job shop scheduling problem (FJSP) with released time and delivery date. The minimum completion time of jobs, the maximum work load of machines and the total work load of all machines are taken as the optimization goals to establish a FJSP model. A random key encoding scheme based on transformed sequences is proposed and a mapping relationship is set up between the continuous space and the discrete space of FJSP. An adaptive Gauss mutation operator is introduced to diversify the population in the process of weed breeding. …

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Indoor Positioning Algorithm Based On Zigbee And Improved Radio Frequency Identification, Dahu Yan, Yangjie Xu Jan 2019

Indoor Positioning Algorithm Based On Zigbee And Improved Radio Frequency Identification, Dahu Yan, Yangjie Xu

Journal of System Simulation

Abstract: Since the traditional RFID positioning technology relies on the Internet and is especially constrained by the positioning distance in the process of positioning the tags with poor positioning accuracy, a novel positioning algorithm is proposed based on the ZigBee and improved VIRE algorithm. By using the proposed algorithm, ZigBee nodes are adopted to achieve the formation of network information transmission to replace the traditional wired communication. Gaussian-Kalman filter is used to deal with the sampling data of the limited preselected reference node signal strength. The algorithm adopts signal propagation loss model to calculate the RSSI values of virtual reference …

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Motif-Based Intelligent Mission Planning Method For Uav Swarms, Weiping Wang, Wang Tao, Xiaobo Li, Jiajie Liu Jan 2019

Motif-Based Intelligent Mission Planning Method For Uav Swarms, Weiping Wang, Wang Tao, Xiaobo Li, Jiajie Liu

Journal of System Simulation

Abstract: Due to the restriction of communication among UAV swarms, configuration of UAV swarms needs to be changed dynamically along with the task changes. How to do mission planning under limited communication for UAV swarms has become a hot and difficult question. The UAV combat network motif model framework is built based on the function, and six different types of basic motif model are proposed. Through capability demand and communication demand, a task is mapped into types and numbers of motifs which are required to complete the task. The ‘multidimensional dynamic scheduling list’ method is used to automatically generate mission …

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A Hierarchical Control Framework And Key Algorithms Of Multi-Swarm Persistent Surveillance, Wang Tao, Weiping Wang, Xiaobo Li, Jing Tian Jan 2019

A Hierarchical Control Framework And Key Algorithms Of Multi-Swarm Persistent Surveillance, Wang Tao, Weiping Wang, Xiaobo Li, Jing Tian

Journal of System Simulation

Abstract: Persistent surveillance is a typical application of multi-swarm aerial vehicle systems (UAVs). And dynamic deployment for multi-swarm UAVs in persistent surveillance has been proved to be a complex problem, especially when the self-adjustment is required to adapt the time-sensitive environment. This paper proposes a multi-swarm hierarchical control scheme and key algorithms. We design the digital turf potential field model to approximate the evolving and interactive information of time-sensitive target features and surveillance effects. Moreover, using the digital turf potential function of each grid as the data point weight, we design a grid-based weighted data-clustering algorithm for the dynamic assignment …

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Modeling And Simulation Of Bank Network System With Internet Monetary Fund, Fan Hong, Wang Ke, Zhijie Wang Jan 2019

Modeling And Simulation Of Bank Network System With Internet Monetary Fund, Fan Hong, Wang Ke, Zhijie Wang

Journal of System Simulation

Abstract: There are some internet monetary funds such as “Yuebao” becoming an important part of banking system in China in recent years. What kinds of the characteristics and stability of the banking system running are the most urgent problem needed to be solved. Based on the method of the network system dynamics, the dynamical relationship between the internet money fund and traditional bank network is analyzed, and a dynamical algorithm and process of borrowing-lending are provided. A simulation model of banking network system with the internet monetary fund is constructed, which can realize the running process of the banking network …

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Modeling And Simulation Of Missile Defense M/M/N Queueing System, Longyue Li, Fuxian Liu, Huizhen Zhao Jan 2019

Modeling And Simulation Of Missile Defense M/M/N Queueing System, Longyue Li, Fuxian Liu, Huizhen Zhao

Journal of System Simulation

Abstract: To simulate the process of ballistic missile defense and to study the effectiveness of defense, the M/M/N queueing system of missile defense was modeled and simulated. A queueing modeling framework was given to explain the meaning and distribution of related parameters. The M/M/N/N and M/M/N/C queueing models were proposed for short defense depth and long defense depth respectively, and the single target channel and the multiple target channels were distinguished in each model. How to deal with the different types of missile defense system based on equivalent replacement method were also considered. Simulation examples verified the main …

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