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Articles 8221 - 8250 of 11652
Full-Text Articles in Entire DC Network
Research On Static Behavior Of Xx-Joints Based On Ansys, Pan Ying, Linxiao Qin
Research On Static Behavior Of Xx-Joints Based On Ansys, Pan Ying, Linxiao Qin
Journal of System Simulation
Abstract: Nonlinear finite element analysis was used in the ultimate bearing capacity on planar XX-joints by ANSYS software. The stress distributions of the joints were demonstrated, the main failure modes of the joints were determined, and the influences of some fundamental geometric parameters on the ultimate strength were the research points. The results show β (diameter ratio of the branch to the chord), θ (axial angle of the chord and the branch), γ (the ratio of the diameter of the chord to the thickness of the walls of the chord) are the main …
Research Of Impact Point Accuracy Of One-Dimensional Trajectory Correction Projectile Based On Monte Carlo, Xiaoyun Lei, Zhian Zhang
Research Of Impact Point Accuracy Of One-Dimensional Trajectory Correction Projectile Based On Monte Carlo, Xiaoyun Lei, Zhian Zhang
Journal of System Simulation
Abstract: After the one-dimensional trajectory correction projectile out of the muzzle, various disturbance factors caused the impact point dispersion. Monte Carlo method was utilized on the shooting accuracy analysis. Based on the practical test datasets, three major factors were determined, namely, time delay of opening-damper mechanism, error of drag coefficient and measurement error of target. As to the disturbances, function randn was used for the analysis of the three major factors on the flat of Matlab. According to error distribution of the factors, the probability distribution and dispersion of the impact point were obtained. The maximum and minimum ranges of …
Potato Storage Temperature Prediction Control Based On Pso And Esns, Junxia Liu, Xinrong Xiong, Hu Bing
Potato Storage Temperature Prediction Control Based On Pso And Esns, Junxia Liu, Xinrong Xiong, Hu Bing
Journal of System Simulation
Abstract: According to the current situation of potato storage and serious waste of raw materials and human resources of potato processing enterprises, combined with temperature data characteristics of potato storage from Xinjiang Great Russell Agricultural Science and Technology Development LTD., and control effect of the conventional control methods which is not ideal, a new temperature predictive control method was proposed, which rolled to optimize the input control variable by using particle swarm optimization algorithm and get the actual output values, use ESNs to forecast the temperature in the storage, the system was corrected by deviation between forecasting output and actual …
Research On Intelligent Hauling Speed Regulation System Based On Shearer's Reliability, Xunan Liu, Lijua Zhao, Dongmin Gai, Zhangyu Du, Liangying Hao
Research On Intelligent Hauling Speed Regulation System Based On Shearer's Reliability, Xunan Liu, Lijua Zhao, Dongmin Gai, Zhangyu Du, Liangying Hao
Journal of System Simulation
Abstract: Under the mine, Shearer's hauling speed affected the shearer's efficiency and reliability. Taking MG32570*2/325-BWD shearer as research object, from shearer's reliability, by using Simulink, the intelligent speed regulation system was established, based on shearer key parts' reliability. The building & simulation of hauling motor load torque block and recommended optimum hauling speed generation block which was fitted by neural network was solved. The simulation results show that: this system can achieve the recommended speed, which is traced by hauling speed rapidly and accurately. When consistent coefficient and cutting depth are 2.85 and 0.58m, the hauling motor's maximum speed is …
Multipurpose Image Watermarking Algorithm For Progressive Transmission, Jianqiu Jin, Bangqing Cao, Wang Xun, Haiyan Wu, Bailing Yang
Multipurpose Image Watermarking Algorithm For Progressive Transmission, Jianqiu Jin, Bangqing Cao, Wang Xun, Haiyan Wu, Bailing Yang
Journal of System Simulation
Abstract: Multipurpose watermarking, which has the property of both robust and semi-fragile watermarking, can realize two or more purposes in one algorithm, e.g. copyright protection and content authentication usually. It can be classified into multi-segment and single-segment watermark embedding. The latter is better in invisibility, but more challenging than the former. A multi-purpose image watermarking algorithm with single-segment watermark embedding for progressive transmission was proposed. It embedded a watermark abstracted from original image into middle and low-frequency coefficients of block DCT transform. In the watermark embedding process, the intensity of watermark could be dynamically adjusted according to the local texture …
Carrier Disposition Pwm Control With No Dead Zone For Tnpc Inverter, Wenjuan Li, Feng Jie, Wang Chao
Carrier Disposition Pwm Control With No Dead Zone For Tnpc Inverter, Wenjuan Li, Feng Jie, Wang Chao
Journal of System Simulation
Abstract: After the addition of dead zone, the carrier disposition PWM modulation method could have some problems, such as distortion of current waveform and decreasing of voltage utilization ratio. Taking the TNPC type three-level inverter as a researching object, a novel method of the carrier disposition PWM modulation with no dead zone for three-level inverter was proposed, in which three PWM modulation signals were generated by using triple carrier wave. By analyzing the effect caused by the dead zone in different operating states, on and off rules of power switches were derived. Simulation results in MATLAB/Simulink environment show that the …
Motion Reconstruction And Simulation Using Sparse Inertial Sensors, Lijun Cui, Tianyu Huang, Feng Feng, Zhang Jie, Yang Kai, Liu Dong
Motion Reconstruction And Simulation Using Sparse Inertial Sensors, Lijun Cui, Tianyu Huang, Feng Feng, Zhang Jie, Yang Kai, Liu Dong
Journal of System Simulation
Abstract: A method was proposed to reconstruct high-dimensional full-body motion sequences from low-dimensional control data collected by sparse inertial sensors. The approach solved the mapping problem from low dimension to high dimension. A numerical similarity- geometrical similarity-time continuity model was setup to ensure the reconstructed motion candidates in numerical-logical similarity. The gap between angle and angular acceleration was eliminated by acceleration reconstruction. An energy function was introduced to optimize the reconstructed results which guaranteed the accuracy. The analysis and comparison experiments show that the proposed method can reconstruct nature and credible motions in real-time and can be applied …
Business Process Modeling Algorithm Based On Ontology Language, Huang Ying, Kangshun Li, Li Wei, Keqing He
Business Process Modeling Algorithm Based On Ontology Language, Huang Ying, Kangshun Li, Li Wei, Keqing He
Journal of System Simulation
Abstract: In the view of problem in lack of information sharing mechanisms at the semantic level among processes, a business process modeling algorithm based on ontology language using concept hierarchy as background knowledge was proposed. The business process modeling by traditional business process languages can be transferred to ontology language (OWL) description so as to realize the semantic sharing of business process. The approach has two main advantages compared with traditional methods: (1) accelerating the building process, minimizing the conversion cost; (2) background knowledge guides the extraction of knowledge resided in database. As a way of validating the approach, part …
Measurement Error Correction Model Of Tof Depth Camera, Le Wang, Luo Yu, Haikuan Wang, Minru Fei
Measurement Error Correction Model Of Tof Depth Camera, Le Wang, Luo Yu, Haikuan Wang, Minru Fei
Journal of System Simulation
Abstract: 3D data intuitively reflects the full view of the target or scene. Time of Flight (ToF) camera is a range imaging sensor that can provide 3D geometric information of targets immediately, thus it is widely applied in the robot positioning and navigation, 3D reconstruction and other aspects etc. Due to the operational principle of the camera itself, there are variety measurement errors of the source data obtained by ToF, resulting in image distortion. The measurement errors in the imaging process of ToF camera were analyzed and summarized, and the cubic spline interpolation method combined with look-up table was proposed …
Modeling Of Spectrum Sensing Energy Consumption In Cognitive Radio Networks, Ziru Cui, Peng Yi
Modeling Of Spectrum Sensing Energy Consumption In Cognitive Radio Networks, Ziru Cui, Peng Yi
Journal of System Simulation
Abstract: In cognitive radio networks, the energy consumption in the process of spectrum sensing is the hot spot of research. A unified framework for modeling based on Poisson process was developed which could be used even under interference limited to count the energy consumption, thereby obtaining a spectrum sensing energy consumption. Spectrum sensing energy as the function of the number of secondary users in cognitive radio networks, their spatial density and the number of hops, could be modelled as a truncated gamma distribution. This model is used to statistically analyze cognitive users' energy consumption in the process of spectrum sensing …
Sliding Mode Auto - Disturbance Rejection Control Of Hypersonic Vehicle Under Disturbance, Mingzhi Cheng, Yunjie Wu, Ma Fei
Sliding Mode Auto - Disturbance Rejection Control Of Hypersonic Vehicle Under Disturbance, Mingzhi Cheng, Yunjie Wu, Ma Fei
Journal of System Simulation
Abstract: The strong coupling of the hypersonic vehicle, the high order of the model, and the perturbation of the aerodynamic parameters make it difficult for the general controller to achieve the desired control effect. The self-disturbing tandem technique can well meet the requirements of the high-order model control. The use of sliding mode variable structure technology which is not sensitive to perturbation of parameters can enhance the system immunity. The simulation results show that the control effect is very good.
Complexity Analysis Of Joint Operational Network Information System, Peng Jun, Mingzhi Zhang
Complexity Analysis Of Joint Operational Network Information System, Peng Jun, Mingzhi Zhang
Journal of System Simulation
Abstract: Based on the theory of complex networks, the structure and characteristics of joint operational network information system (JONIS) were analyzed from the perspectives of heterogeneous directional weighted network topology, strong degree and its centralities. It is found that the combat network based on JONIS has characteristics of small-world and scale-free, with a large average weighted aggregation coefficient and a small average weighted path length, showing a similar power-law distribution. In the example network, command centers, satellites, support force, and early warning unit all have larger strong degrees and centralities. These platforms as the center of gravity and fragile nodes …
Performance Evaluation Method Based On Satisfactory Degree For Air-Information Fusion System, Xiaochao Wu, Li Dong, Zhang Xing, Zhenyu Huang, Liu Bo
Performance Evaluation Method Based On Satisfactory Degree For Air-Information Fusion System, Xiaochao Wu, Li Dong, Zhang Xing, Zhenyu Huang, Liu Bo
Journal of System Simulation
Abstract: Based on the theory of satisfactory degree, a performance evaluation method for air-information fusion system with multi-radar inputs was proposed. According to the designed indexes, the radar deployment and track layout by anti-air warfare, the performance of this fuse system was comprehensively tested with satisfaction method and evaluation software in a simulation testbed. The evaluated results can be the evidences for solving the fusing problem and improving the fusion system combat effectiveness. The effective application of this method in a test shows its value.
Real-Time Modeling Of Interaction Between Floating Objects And Large-Scale Water, Xiaolong Yang, Hongtao Liang, Fengju Kang, Gu Hao
Real-Time Modeling Of Interaction Between Floating Objects And Large-Scale Water, Xiaolong Yang, Hongtao Liang, Fengju Kang, Gu Hao
Journal of System Simulation
Abstract: Large scale water is an integral part of nature and of high interest for interactive 3D applications, e.g., computer games and virtual environments. Allowing the water to interact with floating objects is essential for applications, but traditional height field interaction methods concentrate on water-to-body effects by letting water flow through the bodies. A novel GPU-based method for rapid simulation of large scale water interacting with objects was proposed. A specially designed simulation grid was used to solve the interactions between dynamic objects and the surrounding environment. The model of rigid body was realized with a pre-rigid body …
Submarine Tactical Action Scheme Optimization Method Based On Massive Result Data, Zhang Hui, Sijin Wu, Cheng Jian
Submarine Tactical Action Scheme Optimization Method Based On Massive Result Data, Zhang Hui, Sijin Wu, Cheng Jian
Journal of System Simulation
Abstract: Taking submarine evasion anti-sub force formation search scheme optimization as an example, a submarine tactical action scheme optimization method based on massive simulation result data was proposed. The operational effectiveness data in different situation of various scheme were generated by off-line simulation, which was used as massive data to support on-line real time decision. Real time decision used interpolation method to estimate the operational effectiveness based on the data. According to the computational experiments, accuracy and efficiency can both satisfy the need of real time decision.
Evolutionary Extreme Learning Machine Optimized By Quantum-Behaved Particle Swarm Optimization, Pang Shan, Xinyi Yang, Xuesen Lin
Evolutionary Extreme Learning Machine Optimized By Quantum-Behaved Particle Swarm Optimization, Pang Shan, Xinyi Yang, Xuesen Lin
Journal of System Simulation
Abstract: Extreme Learning Machine (ELM) is a novel learning algorithm for Single-Hidden-Layer Feed Forward Neural Networks (SLFN) with much faster learning speed and better generalization performance than traditional gradient-based learning algorithms. However ELM tends to require more neurons in the hidden layer and lead to ill-conditioned problem due to the random selection of input weights and hidden biases. To address these problems, a learning algorithm was proposed which used quantum-behaved particle swarm optimization (QPSO) to select the optimal network parameters including the number of hidden layer neurons according to the both the root mean square error on validation data set …
Cloud Manufacturing Resource Discovery Method Based On Eav Model And Solr, Geng Chao, Shiyou Qu, Yingying Xiao, Guoqiang Shi, Tingyu Lin, Liqin Guo, Xiaowei Wang
Cloud Manufacturing Resource Discovery Method Based On Eav Model And Solr, Geng Chao, Shiyou Qu, Yingying Xiao, Guoqiang Shi, Tingyu Lin, Liqin Guo, Xiaowei Wang
Journal of System Simulation
Abstract: A resource discovery solution of cloud manufacturing based on text information processing technology was proposed. This solution converted the description model of cloud manufacturing resource to a formal model of text information processing via a mapping function, and an EAV (Entity-Attribute-Value) derived model of cloud manufacturing resources was designed to solve the resource properties issues of heterogeneity, diversity, dynamic and so on. By introducing the Solr index schema, the text indexing system of resource properties data was built to improve query performance of related data. A prototype system was designed for discovering cloud manufacturing resources based on …
Dynamics Analysis Of Flue Gas Compression System In Oxy-Coal Fired Boiler, Jianqiang Gao, Zhang Chen
Dynamics Analysis Of Flue Gas Compression System In Oxy-Coal Fired Boiler, Jianqiang Gao, Zhang Chen
Journal of System Simulation
Abstract: Taking the flue gas compression system in a 300MW oxy-coal fired boiler unit as an object of study by concept design, math model of gas compressor and gas cooler were established with the method of lumped parameter, and dynamic simulation of flue gas compression system was developed. The disturbance experiments on coal-feeder speed and flue gas compressor speed, etc. were carried out based on B-MCR stable condition. As a result, the operating parameters of gas compressor have a more sensitive response and larger change magnitude when the perturbation of coal feeder speed and gas compressor speed is disturbed; when …
Design Of Multi-Scenario Simulation Of Molten Iron Logistics System With Cranes And Cross-Train Agvs, Shaowen Lu, Xiaochuan Luo
Design Of Multi-Scenario Simulation Of Molten Iron Logistics System With Cranes And Cross-Train Agvs, Shaowen Lu, Xiaochuan Luo
Journal of System Simulation
Abstract: Iron and steel complexes prefer a new molten iron logistics technology which involves cranes and cross-train AGVs (Automated Guided Vehicle) for transportation. The key concern of decision-makers is how to evaluate the safety and performance of the logistics design. For using simulation, it needs to solve the multi-scenario what-if simulation problems caused by uncertain processing time and crane yielding. An object-oriented simulation design method and finite state automata based modeling techniques were introduced. A multi-scenario simulation procedure was introduced. The proposed techniques can improve the flexibility, configurability and reusability of the simulation system effectively.
Real-Time Control Method Of Hsss Based On Single Phrase Self Decoupling Strategy, Yingping Yi, Bogang Qu, Zhang Yang
Real-Time Control Method Of Hsss Based On Single Phrase Self Decoupling Strategy, Yingping Yi, Bogang Qu, Zhang Yang
Journal of System Simulation
Abstract: Zero Crossing Detection (ZCD) and phase locked loop are widely applied in the real-time control. Compared the performances of ZCD, SSRF SPLL and DDSRF SPLL,a method named as Single Phase Self Decoupling SPLL (SPSD SPLL) for HSSS(Hybrid Solid State Switch) is proposed and the mathematical method and control methods are given. The control parameters were obtained by analyzing the steady and dynamic performance of SPSD SPLL. By establishing the real-time controlling models based on the above strategies and HSSS model in the MATLAB/Simulink, the simulation and optimization analysis results verified that the SPSD SPLL was well performed …
Attention Mechanism In Battlefield Situation Awareness, Yisi Kong, Xiaofeng Hu, Zhu Feng, Jiuyang Tao
Attention Mechanism In Battlefield Situation Awareness, Yisi Kong, Xiaofeng Hu, Zhu Feng, Jiuyang Tao
Journal of System Simulation
Abstract: Battlefield situation awareness (BSA) is the basis of C2 and decision making. Research on BSA can clarify the mechanism and lay the foundation for designing intelligent model and algorithm to assist commanders with situation awareness. Taking attention mechanism as the point, the relevant discussion in psychology was summarized, a framework of the attention mechanism in BSA was put forth, and its application in operational target value assessment was explored.
Adaptive Mutative Scale Chaos Particles Swarm Optimization Based On Logistic Mapping, Yanyang Zeng, Yunxia Feng, Wentao Zhao
Adaptive Mutative Scale Chaos Particles Swarm Optimization Based On Logistic Mapping, Yanyang Zeng, Yunxia Feng, Wentao Zhao
Journal of System Simulation
Abstract: To overcome the shortcomings of Particle Swarm Optimization (PSO), an Adaptive Mutative Scale Chaos Particles Swarm Optimization (ACPSO) based on Logistic Mapping was proposed. The chaos method was used to initialize the particles. The adjustment method of the inertia weight depended on the particle's fitness; it could avoid premature convergence for the particles. When the particles fell into the local optimum, mutative scale chaos optimization strategy was adopted to adjust the optimal particles. To test the effectiveness of the algorithm, three representative algorithms were compared with. The results show that the algorithm has high convergence speed and high precision.
Accuracy Of New Lattice Monte Carlo Simulation Algorithm Of Biased Diffusion Model, Zhengxiong Wu, Guo Gang, Duan Hong
Accuracy Of New Lattice Monte Carlo Simulation Algorithm Of Biased Diffusion Model, Zhengxiong Wu, Guo Gang, Duan Hong
Journal of System Simulation
Abstract: It is already proved that the traditional fixed time step lattice Monte Carlo (LMC) algorithm can reproduce both the mean and the variance of the particle displacement exactly. However, there is always a non-zero skewness when there is a drift. To further improve the accuracy, a new LMC algorithm of biased diffusion model with five transition probabilities has been devised, which indeed reproduces the first three moments exactly. The valid scope of lattice step and time step can be determined numerically once the drift and the diffusivity are given. A new measurement is introduced to study the accuracy characteristics …
Target Combination Selection Optimization Method Of Joint Operations Based On Fuzzy Genetic Algorithm, Suike Li, Jianhua Xiang, Haijun Wang, Mingzhi Zhang, Li Yi
Target Combination Selection Optimization Method Of Joint Operations Based On Fuzzy Genetic Algorithm, Suike Li, Jianhua Xiang, Haijun Wang, Mingzhi Zhang, Li Yi
Journal of System Simulation
Abstract: Under the condition of informatization, it is necessary to use intelligent model and optimization method to realize the cooperation and fusion of multi arms combat firepower. Aiming at the problem of target decision-making and firepower allocation in joint operations, the fuzzy multi-objective programming model was constructed to achieve the overall goal of achieving the maximum and the best firepower as a dual goal. In the model solving algorithm, the possibility theory was used to transform the fuzzy number, the model was transformed into the multi-objective programming model in the deterministic form. In order to improve the efficiency of …
Artillery Company Firepower Assignment Model And Algorithm, Xuezhi Lü, Lisheng Chang, Xianwen Wang, Xinhui Zhao
Artillery Company Firepower Assignment Model And Algorithm, Xuezhi Lü, Lisheng Chang, Xianwen Wang, Xinhui Zhao
Journal of System Simulation
Abstract: In view of deficiency of traditional firepower assignment method and characteristics of modern artillery, the model and algorithm of firepower assignment of artillery company were studied. The firepower assignment problem of artillery company was described, and the resolving concept was discussed. Three firepower assignment modes based on resolving concept were introduced. The idea of getting optimal solution of firepower assignment with Monte Carlo simulation and golden section search were analyzed. The model and algorithm were validated with an example.
A Cnn Based Cognitive Method To Battlefields Encompassing Situation With Insufficient Samples, Zhu Feng, Xiaofeng Hu, Xiaoyuan He, Yisi Kong, Yang Lu
A Cnn Based Cognitive Method To Battlefields Encompassing Situation With Insufficient Samples, Zhu Feng, Xiaofeng Hu, Xiaoyuan He, Yisi Kong, Yang Lu
Journal of System Simulation
Abstract: To research the issue of how to grasp the commander's cognitive experience successfully and effectively facing to battlefields sight map, Convolution Neural Network (CNN) as a kind of the typical algorithm in deep learning can provide the key ways. However, CNN needs the enough samples for running. These samples are hardly to achieve for the time being. Aimed at these problems, some exploring researches were carried out. The issues of battlefields encompassing situation cognition met generally in the warfare and lacking enough samples were discussed. On the basis of analyzing the image characteristics of battlefields encompassing situation and the …
Simulation Of Cooperative Behavior Contagion In Small World Network, Shilong Wang
Simulation Of Cooperative Behavior Contagion In Small World Network, Shilong Wang
Journal of System Simulation
Abstract: Under small world network structure, this research constructed a contagion model of cooperative behavior based on behavioral characteristics such as homogeneity gathering, two degrees of separation, influence paradox, attenuation nature, etc. and used Netlogo platform to run the simulation. The results indicate the contagion of cooperative behavior has hysteresis, emergent and progressive properties; the average path length constrains the contagion completion; the strong ties are prone to spread cooperative behavior; the distribution level of node degree of network significantly impacts the contagion time. The discoveries afford guidance for enhancing cooperation performance in small groups, by adjusting relationship …
Doa Estimation Method Of Uniform Circular Array Based On Improved Smoothed L0 Norm, Wang Biao, Chen Feng, Lu Li
Doa Estimation Method Of Uniform Circular Array Based On Improved Smoothed L0 Norm, Wang Biao, Chen Feng, Lu Li
Journal of System Simulation
Abstract: To solve the problems of the narrow-band signal DOA method, such as low resolution and unsuitable for applications with small number of snapshot and array elements, etc, DOA of uniform circular array based on improved smoothed l0 norm was proposed after analysis of the characteristics of UCA model and signal airspace sparse, combining with improved the smooth l0 norm algorithm. For reconstructing the signal, the method used the combined continuous function as the approximation to l0 norm by sparse matrix processing array manifold, which improved the convergence speed. It was also extended to the UCA DOA …
Performance Evaluation Of Guidance And Control System Based On Improved Latin Hypercube, Denghui Zhang, Chao Tao, Songyan Wang, Ma Ping
Performance Evaluation Of Guidance And Control System Based On Improved Latin Hypercube, Denghui Zhang, Chao Tao, Songyan Wang, Ma Ping
Journal of System Simulation
Abstract: Aiming at the low efficiency and the poor space-filling property in the aircraft performance evaluation combined with simulation experiment, a novel aircraft performance evaluation method based on the improved LHD (Latin hypercube designs) was investigated. The six-DOF (Degree of Freedom) rigid aircraft model was built. Considering the characteristic of BTT (bank-to-turn) vehicle in dive phase, the performance evaluation index system of its guidance and control system was set up. The optimal LHD was applied to the performance evaluation of the aircraft guidance and control system. The improved algorithm can quickly construct a good design …
Visualization Of Multi-Dimensional Effectiveness Indicator Of Weapon System Of Systemsbased On Fusion Manifold Learning, Jianfei Ding, Guangya Si, Yafeng Shi, Liu Yi
Visualization Of Multi-Dimensional Effectiveness Indicator Of Weapon System Of Systemsbased On Fusion Manifold Learning, Jianfei Ding, Guangya Si, Yafeng Shi, Liu Yi
Journal of System Simulation
Abstract: It is an important way to compare the comprehensive characteristics of weapon system of systems (WSoS) by means of visualization method to display the various effectiveness indicators information of WSoS construction planning scheme in simulation test. A visualization method for multi-dimensional effectiveness indicator was proposed based on fusion manifold learning. The indicator items and scheme items were converged from high-dimensional space to the same two-dimensional space. The density calculation was used to calculate the effect degree between the multidimensional indicator and scheme. The final multidimensional indicator visualization effect was achieved by radiological calculation. Two sets of experiments were …