Carrier Disposition Pwm Control With No Dead Zone For Tnpc Inverter,
2020
School of Electric and Electronic Engineering, Harbin University of Science and Technology, Harbin 150080, China;
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 …
Gaussian-Awareness Deep Learning For Block-Level Compressive Video Sensing,
2020
Santa Clara University
Gaussian-Awareness Deep Learning For Block-Level Compressive Video Sensing, Yifei Pei
Computer Science and Engineering Master's Theses
Compressive sensing (CS) is a signal processing framework that effectively recovers a signal from a small number of samples. Traditional compressed sensing algorithms, such as basis pursuit (BP) and orthogonal matching pursuit (OMP) have several drawbacks, such as low reconstruction performance at small compressed sensing rates and high time complexity. Recently, researchers focus on deep learning to get compressive sensing matrix and reconstruction operations collectively. However, they failed to consider sparsity in their neural networks to compressive sensing recovery; thus, the reconstruction performances are still unsatisfied. In this thesis, we use 2D-discrete cosine transform and 2D-discrete wavelet transform to impose …
Motion Reconstruction And Simulation Using Sparse Inertial Sensors,
2020
1. School of Software, Beijing Institute of Technology, Beijing 100081, China;;
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,
2020
1. State Key Laboratory of Software Engineering, School of Computer, Wuhan University, Wuhan 430072, China;;2. Institute of Mathematical and Computer Sciences, Gannan Normal University, Ganzhou 341000, China;;
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,
2020
Shanghai Key Laboratory of Power Station Automation Technology, School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200072, China;
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,
2020
Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China;
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,
2020
1. School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China;;2. State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing 100191, China;;3. Key Laboratory of Aircraft Control Integration Technology, Beijing 100191, China;
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,
2020
The Department of Information Operation& Command Training, National Defense University, Beijing 100091, China;
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,
2020
Electronic Equipment Test Centre of China, Luoyang 471003, China;
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,
2020
1. Marine College, Northwestern Polytechnical University, Xi'an 710072, China;;2. National Key Laboratory of Underwater Information Process and Control, Xi'an 710072, China;
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,
2020
1. Navy Submarine Academy, Qingdao 266071, China;;
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,
2020
1. College of Information and Electrical Engineering, Ludong University, Yantai 264025, China;;
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,
2020
1. School of Management, Harbin Institute of Technology, Harbin, 150001;;
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,
2020
School of Energy Power and Mechanical Engineering, North China Electric Power University, Baoding 071003, China;
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,
2020
State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110819, China;
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,
2020
1. University of Shanghai for Science and Technology, Shanghai 200093, China;;
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,
2020
National Defense University, Beijing 100091, China;
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,
2020
College of Computer Science and Technology of Henan Polytechnic University, Jiaozuo 454000, China;
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,
2020
College of Information System and Management, National University of Defense Technology, Changsha 410073, China;
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,
2020
The Department of Information Operation & Command Training, National Defense University, Beijing 100091, China;
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 …
