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Articles 3571 - 3600 of 3880
Full-Text Articles in Systems Science
Predator-Prey Dynamics-Based Optimization, Qiuqin Lu, Guangqiu Huang
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 …
Event Triggered Optimization Method For Dynamic Task Decomposition Mode In Cloud Fusion, Wang Yan, Lijun Cheng
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 …
Research On Evaluation Framework Of Coa Based On Wargaming, Haiyang Liu, Yubo Tang, Xiaofeng Hu, Guangpeng Qiao
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. …
Intelligent Technology Of Command And Control System In The Rts Perspective, Wenfeng Wu, Zhang Yu, Rong Ming
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 …
Extensible Battle Management Ontology Language, Zaijiang Tang, Xiangzhong Xue, Xue Qin
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 …
Visual Object Tracking Algorithm Based On Deep Denoising Autoencoder Over Rgb-D Data, Mingxin Jiang, Zhigeng Pan, Lanfang Wang, Taoxin Hu
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. …
Service Recommended Trust Algorithm Based On Cloud Model Attributes Weighted Clustering, Jindong Wang, Zhiyong Yu, Hengwei Zhang, Fang Chen
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 …
Simulation Data-Driven Modeling Approach For Space Information Network, Yang Xing, Wu Jing, Jianguo Zhou, Jiang Hao, Zhu Jie
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 …
Two-Sided Matching Decision Model Between Task And Resource For Cloud Fusion, Lijun Cheng, Wang Yan
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 …
Improved Intrusion Weed Algorithm For Solving Flexible Job Shop Scheduling Problem, Zhang Xin, Li Ke, Dahu Yan, Zhicheng Ji
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. …
Indoor Positioning Algorithm Based On Zigbee And Improved Radio Frequency Identification, Dahu Yan, Yangjie Xu
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 …
Motif-Based Intelligent Mission Planning Method For Uav Swarms, Weiping Wang, Wang Tao, Xiaobo Li, Jiajie Liu
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 …
A Hierarchical Control Framework And Key Algorithms Of Multi-Swarm Persistent Surveillance, Wang Tao, Weiping Wang, Xiaobo Li, Jing Tian
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 …
Modeling And Simulation Of Bank Network System With Internet Monetary Fund, Fan Hong, Wang Ke, Zhijie Wang
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 …
Modeling And Simulation Of Missile Defense M/M/N Queueing System, Longyue Li, Fuxian Liu, Huizhen Zhao
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 …
Soft Shadow Rendering Algorithm Based On Gpu’S Shadow Line, Shanxiao Gao, Wu Xian
Soft Shadow Rendering Algorithm Based On Gpu’S Shadow Line, Shanxiao Gao, Wu Xian
Journal of System Simulation
Abstract: To solve the problem of soft shadow rendering algorithm on shaded body surfaces, a new algorithm based on shadow lines which can render better soft shadow with less cost computation overhead is presented. GPU is used to create shadow lines which include starting point, ending point and shading value. The computer shader (CS) is used to amend the shading value by inverse distance weighting function. In the phase of shadow rendering, the shadow lines dataset is used to calculate the current pixel's shading value by trigonometric interpolation. Experimental result shows that the algorithm can solve the soft shadow …
Simulation And Analysis Of Forced Caving Blasting Scheme For Overburden Steep Inclined Strata In Coal Mining, Tiejun Cui, Yundong Ma, Laigui Wang
Simulation And Analysis Of Forced Caving Blasting Scheme For Overburden Steep Inclined Strata In Coal Mining, Tiejun Cui, Yundong Ma, Laigui Wang
Journal of System Simulation
Abstract: According to the actual situation of overburden steep inclined strata with horizontal fracture, the reasonable goaf forced caving blasting schemes are studied. Considering overburden characteristic and representative, two schemes are put forward with the attachment perpendicular to their break point locations. By setting different places of blasting points, the different directions of blasting and blasting area are determined, and the overlying strata movement and development characteristics of blasting fracture are analyzed. The overlying strata movement range is larger and can develop to the surface after blasting; The conclusion is that the influence range of the fracture is wide in …
Flow Field Analysis Of Pipeline Pig Receiving Trap, Chuanjun Han, Yu Cheng, Xingzhi Duan, Li Qi
Flow Field Analysis Of Pipeline Pig Receiving Trap, Chuanjun Han, Yu Cheng, Xingzhi Duan, Li Qi
Journal of System Simulation
Abstract: To study the influence of piping diameter on the flow field characteristics when pig receiving trap is working, the finite element model of pig receiving trap whose type is P6.3MPa DN700/DN600 was established, and the effects of the diameters changes of vent pipe and blow-off pipe were simulated. The effects caused by the pig running speeds on the flow field of the pig receiving trap were studied. The results show that in the pig receiving trap, there is the maximum pressure in the left side of pig staying and the pressure begins to decrease and easy to form swirls …
Risk Analysis Of Semitrailer Overtaking On Curved Sections Based On Dynamic Simulation, Zhang Chi, Qi Chen, Xiaomin Yan, Dongjian Shao, Zhang Min
Risk Analysis Of Semitrailer Overtaking On Curved Sections Based On Dynamic Simulation, Zhang Chi, Qi Chen, Xiaomin Yan, Dongjian Shao, Zhang Min
Journal of System Simulation
Abstract: To study the safety of semitrailers corner overtaking behavior, the dynamic model of vehicle, the road model and the drivers' aiming trajectory model were developed by multi-body dynamics simulation software TruckSim. The semitrailers were simulated in separate working conditions by changing the super-elevations, circular curve radius, vehicle turning radius and speed. Lateral load transfer rate was invoked as the evaluation index for evaluating the vehicle's safety. The model of six axle semitrailer side tumbling stability prediction was established through the Spss regression; the risk of overtaking on five separate bends of a western highway was evaluated by the model. …
De-Noising Method Of Eeg Signal Based On Mmtd And Wavelet Hard-Threshold, Guoqiang Yan, Ningning Zhou, Shaobai Zhang
De-Noising Method Of Eeg Signal Based On Mmtd And Wavelet Hard-Threshold, Guoqiang Yan, Ningning Zhou, Shaobai Zhang
Journal of System Simulation
Abstract: To overcome the shortage of losing partial important information of hard-threshold method with EEG signal de-noising process, a novel de-noising method based on the combination of measuring of medium truth degree (MMTD) and EEG is proposed. By decomposing noisy signals of wavelet transform, handling threshold of high-frequency wavelet coefficients in every layer, and reconstructing post-processing of the wavelet coefficients, the purpose of noise elimination can be guaranteed. Under different noise intensity, the experimental results show that the MAWH (MMTD and wavelet hard-threshold) method has perspective of lower RMSE and higher SNR compared to hard-threshold and soft-threshold.
Important Object Recognition Method For C4Isr System Based On Operation Traffic Mining, Zhou Fang, Chu Wei, Wendi Cheng
Important Object Recognition Method For C4Isr System Based On Operation Traffic Mining, Zhou Fang, Chu Wei, Wendi Cheng
Journal of System Simulation
Abstract: Considering the problem of vital object recognition for C4ISR system under confrontation condition, a vital object recognition method based on operation traffic mining is proposed. The system operation traffics are collected, the operation data packet describing model is established based on six attribute group described method. The operation traffic association matrix and connectivity matrix are built based on the source IP and destination IP address on data packet. The inflow and outflow operation traffics about system node are counted, and the system vital computation model is established based on statistical traffics as the measurement criteria of system …
Satisfactory Fault-Tolerant Control Of Nncs Under Event-Triggered Sparse Data Transmission, Yajie Li, Li Wei
Satisfactory Fault-Tolerant Control Of Nncs Under Event-Triggered Sparse Data Transmission, Yajie Li, Li Wei
Journal of System Simulation
Abstract: Adopting the discrete event-triggered communication scheme (DETCS), the satisfactory fault-tolerant control of nonlinear networked control system (NNCS) under the sparse data transmission circumstance was studied. Based on the background of event-triggered sparse data transmission, a closed-loop model with actuator failure and actuator saturation was established. Based on Lyapunov-Krasovskii function and the safety degree definition proposed in this paper, a sufficient condition was presented for NNCS with the generalized H?/H2 performance under the case of actuator saturation and actuator failure, which was the contractively invariant set of fault-tolerance with α-safety degree, and …
Sliding Backstepping Mode Control For Flight Simulator Servo Based On Disturbance Compensation And Differentiator, Huibo Liu, Shanglei Liu
Sliding Backstepping Mode Control For Flight Simulator Servo Based On Disturbance Compensation And Differentiator, Huibo Liu, Shanglei Liu
Journal of System Simulation
Abstract: Considering the uncertain factors in flight simulator servo system, such as friction torque and modeling error, a sliding backstepping mode control strategy based on the nonlinear extended state observer (NESO) and differentiator was put forward. The uncertain factors were defined as compound disturbances, and the NESO was used for observations in combination with real-time compensations that reduced impact on the system brought by disturbances. Differentiator was used to estimate the system state variables, hence preventing the noise amplifications caused by the difference method; law design came under the control of a sliding backstepping mode controller designed in accordance with …
Aerodynamic Noise Generating Mechanism Of Corbula Type Throttle Valves, Yueqin Li, Xiao Fei, Fan Ming, Xiaodong Xu
Aerodynamic Noise Generating Mechanism Of Corbula Type Throttle Valves, Yueqin Li, Xiao Fei, Fan Ming, Xiaodong Xu
Journal of System Simulation
Abstract: The throttle mechanism of pneumatic noise and the noise spectrum characteristics of corbula type throttle valve are studied by targeting on aerodynamic noise problems caused by gas when flowing through the corbula type throttle valve, the method of CFD software with acoustic software simulationis used as well. The studies have showed that when the flow of fluid flows through shrink section, it can be effected by throttling effect, the speed of gas on the hole exit increases rapidly to form under-expanded supersonic jet, causing strong turbulence and shock wave noise. The conclusionis that the construction of throttling …
Key Points Analysis And Simulation For System Design Of Airborne Was-Gmti Radar, Yan He, Daiyin Zhu
Key Points Analysis And Simulation For System Design Of Airborne Was-Gmti Radar, Yan He, Daiyin Zhu
Journal of System Simulation
Abstract: Wide area surveillance-ground moving target detection (WAS-GMTI) mode is one of the important modes for most multi-functional airborne radar. System design of the WAS-GMTI mode can affect the final moving targets detection and tracking abilities to a great extent. Therefore, research focuses on the system design of multi-channel WAS-GMTI radar system. The expression of WAS-GMTI radar echo (including the crab angle) is derived. Signal to noise ratio (SNR) and clutter to noise ratio (CNR) are presented. These are the preparations and foundations for the further discussion. Four key points are detailedly analyzed in the process of system design of …
Collision Avoidance Performance Improvement For Tcas In Multi-Aircraft Situations Based On State Prediction, Tang Jun, Fen Zhu, Wan Yu, Songyang Lao
Collision Avoidance Performance Improvement For Tcas In Multi-Aircraft Situations Based On State Prediction, Tang Jun, Fen Zhu, Wan Yu, Songyang Lao
Journal of System Simulation
Abstract: Currently the density of the airspace increases with the air traffic flow increasing significantly, and therefore the conflict occurrence possibility of two or multiple aircraft raises. However, the traffic collision avoidance system （TCAS） may not be able to resolve all the collision problems of multi-threat situation. There is an active demand to improve its performance in multi-threat situation. This paper mathematically describes the traditional TCAS anti-collision mechanism, and achieves its expansion in the horizontal direction, thus proposes the improvement algorithm of collision avoidance performance for TCAS in multi-aircraft situations based on the state prediction. Adjusting the height and vertical …
Cloud Fraction Of Satellite Imagery Based On Convolutional Neural Networks, Xia Min, Maoyang Shen, Jianfeng Wang, Yangguang Wang
Cloud Fraction Of Satellite Imagery Based On Convolutional Neural Networks, Xia Min, Maoyang Shen, Jianfeng Wang, Yangguang Wang
Journal of System Simulation
Abstract: Cloud fraction is the basis for the application of meteorological satellite. Existing methods cannot use all the characteristics and optical parameters of the satellite cloud, which results in the inaccuracy of cloud detection and cloud fraction. In order to solve this problem, convolutional neural network is used for cloud detection. Based on the improved convolutional neural network, the satellite cloud image is divided into thin cloud, thick cloud and clear sky. Based on the cloud detection, an improved spatial correlation method is used for cloud fraction. The results for Chinese HJ-1A/B satellite imagery show that convolutional neural network can …
Evaluation Model On The Vulnerability Of Mining Area Ecosystem Based On Object-Function Petri Net, Su Jia, Guangqiu Huang
Evaluation Model On The Vulnerability Of Mining Area Ecosystem Based On Object-Function Petri Net, Su Jia, Guangqiu Huang
Journal of System Simulation
Abstract: Introducing the concept of function into traditional object Petri net, a new evaluation model of ecosystem vulnerability named object-function Petri net model (OFPNEM) was put forward. The facilitating and suppressing factors of the ecosystem degradation were analyzed in this evaluation model. Trigger conditions of vulnerability were depicted as transitions and the state of ecosystem in the process of change were depicted as object places. Logical causality of environmental degradation could be represented directly. Furthermore, evaluation model on the vulnerability of mining area ecosystem based on object-function Petri net was proposed. Through object-function Petri net, combining the rules of model, …
Key Frame Extraction For Slam Based On Spatio-Temporal Slices, Xinliang Zhang, Li Yang, Yunji Zhao
Key Frame Extraction For Slam Based On Spatio-Temporal Slices, Xinliang Zhang, Li Yang, Yunji Zhao
Journal of System Simulation
Abstract: To deal with the data redundancy and computational complexity of the mobile robot 3D visual SLAM (simultaneous localization and mapping), a key frame extraction technique based on spatio-temporal slices is proposed. Based on the analysis of the texture characteristics of the spatio-temporal slices, it yields that the motion state of the image acquisition device can be represented by the slope change of the texture. The similarity degree between two adjacent slices is measured to find out the key frame by use of the nearest neighbor pixel-matching algorithm, which can accurately describe the motion state of the device …
Three Dimension Tolerance Analysis And Optimization Based On 3dcs, Qiaofeng Meng, Linxuan Zhang, Linzheng Yin, Zhixia Hou, Zou Fang
Three Dimension Tolerance Analysis And Optimization Based On 3dcs, Qiaofeng Meng, Linxuan Zhang, Linzheng Yin, Zhixia Hou, Zou Fang
Journal of System Simulation
Abstract: According to the tolerance allocation and optimization problems in engineering practice, the vector loop model is established by using the concept of vector, and the improved scheme based on the idea of "dichotomy" method is explored. Through the virtual assembly process of a certain model car, the rear cover and tail light are mounted on the white body. Based on 3DCS dimensional tolerance analysis and optimization of simulation, it is proved that the improved scheme with some advanced and practical property has great superiority compared to the original equal tolerance allocation method. It can solve the practical problems faced …