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- Keyword
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- Simulation (131)
- Virtual reality (41)
- Genetic algorithm (40)
- Numerical simulation (40)
- Path planning (39)
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- Modeling and simulation (35)
- Particle swarm optimization (34)
- Deep learning (33)
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- Multi-objective optimization (29)
- Digital twin (27)
- Fault diagnosis (27)
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- Reinforcement learning (22)
- System simulation (22)
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- Optimization (19)
- System dynamics (19)
- Virtual simulation (19)
- Complex network (17)
- Traffic simulation (17)
- UAV (17)
- Permanent magnet synchronous motor (16)
- Unity3D (16)
- Energy consumption (15)
- Support vector machine (15)
- Collision detection (14)
- Deep reinforcement learning (14)
- Parameter identification (14)
- Publication Year
Articles 1741 - 1770 of 3382
Full-Text Articles in Physical Sciences and Mathematics
Harmony Gravitational Search Algorithm For Solving The Problem Of Parameter Estimation For Fractional-Order Chaotic Systems, Huang Yu, Jiarong Wang, Weiping Liang
Harmony Gravitational Search Algorithm For Solving The Problem Of Parameter Estimation For Fractional-Order Chaotic Systems, Huang Yu, Jiarong Wang, Weiping Liang
Journal of System Simulation
Abstract: Aiming at parameter estimation for fractional-order chaotic systems, a harmony gravitational search algorithm was proposed. The particles, which were updated by gravitational search algorithm, were recreated and searched through memory selections and probability search in harmony search algorithm. At the same times, in order to solve the problem that the speed changed too fast when the particles closed to the optimal solution, the partial adjustment probability was set to non-linearly decrease with the adsorption capacity increasing. Standard test functions were used to test the algorithm, and the test results show that the algorithm has good stability and global search …
Hybrid Quantum-Behaved Particle Swarm Optimization For Parameter Identification Of Dfig, Yingying Jiang, Zhicheng Ji
Hybrid Quantum-Behaved Particle Swarm Optimization For Parameter Identification Of Dfig, Yingying Jiang, Zhicheng Ji
Journal of System Simulation
Abstract: In order to ensure the accuracy of the doubly-fed wind power generator (DFIG) and improve the control performance of the generator, a hybrid quantum-behaved particle swarm optimization for parameter identification was proposed. A parameter identification model of DFIG at coordinate was established. Quantum-behaved particle swarm optimization (QPSO) was improved and then mixed with simulated annealing (SA) algorithm. The proposed algorithm was compared with particle swarm optimization (PSO), QPSO and improved QPSO, which were applied to parameter identification of DFIG in Matlab/Simulink. Simulation results show that the proposed algorithm can improve the identification accuracy of …
Improved Cuckoo Search Algorithm Applied To Multi-Objective Optimization Of Crowd Evacuation, Chongjie Dong, Liu Yi, Peng Yong
Improved Cuckoo Search Algorithm Applied To Multi-Objective Optimization Of Crowd Evacuation, Chongjie Dong, Liu Yi, Peng Yong
Journal of System Simulation
Abstract: The crowd evacuation problem is a multi-objective optimization problem in large public places under the emergency, but because of the conflict between multiple objectives in multi-objective optimization problem, it is difficult to make the multiple targets achieve the optimal at the same time. The most popular solution is an evolution multi objective optimization algorithm for the characteristics of heuristic search of population and the partial order relation. Cuckoo search algorithm is a new search algorithm which was found in the behavior of cuckoo nest spawning lies, the basic cuckoo search algorithm is lack of vitality, and search is slow. …
Optimal Linear Moment Estimation Method For Gumbel Distribution, Yumei Zhai, Ruixing Zhao
Optimal Linear Moment Estimation Method For Gumbel Distribution, Yumei Zhai, Ruixing Zhao
Journal of System Simulation
Abstract: Linear moment is one of the important methods to estimate the extreme value distribution function in engineering practice. In order to improve the estimation performance for Gumbel distribution, the estimating results of twelve empirical distribution functions were simulated by using Monte Carlo method. The optimal linear moment estimation method was constructed based on the empirical distribution function with the minimum estimation error, and compared with ordinary moment, traditional linear moment and maximum likelihood method. The study shows that choosing an appropriate empirical distribution function can enhance the estimation accuracy. The optimal empirical distribution function varies depending on the sample …
Face Recognition Method Based On Cost-Sensitive Supervised Manifold Learning, Yeqin Cui, Jianguo Gao
Face Recognition Method Based On Cost-Sensitive Supervised Manifold Learning, Yeqin Cui, Jianguo Gao
Journal of System Simulation
Abstract: Existing subspace learning-based face recognition methods assume the same loss from all misclassifications. In the real-world face recognition applications, however, different misclassifications can lead to different losses. Motivated by this concern, a cost-sensitive supervised manifold learning approach for face recognition was proposed. The proposed approach incorporated a cost matrix to specify the different costs associated with misclassifications of subjects, into locality preserving projection algorithm, which devised the corresponding cost-sensitive methods, namely, cost-sensitive locality preserving projections (Cos-Sen LPP), to achieve a minimal overall loss. Three face databases were put into the experiments and experimental results show that Cos-Sen LPP method …
General Hils System Research Of Mi-171 Helicopter Autopilot, Renwei Hu, Guo Nan, Kong Xia, Peng Jun, Chuanwei Sun
General Hils System Research Of Mi-171 Helicopter Autopilot, Renwei Hu, Guo Nan, Kong Xia, Peng Jun, Chuanwei Sun
Journal of System Simulation
Abstract: A general analogous and digital Hardware-In-the-Loop-Simulation (HILS) system was built for AΠ-34Б autopilot of Mi-171 helicopter. Simulator of avionics signals with hybrid interface for both analogous and digital signals was developed. A nonlinear flight dynamics mathematical model was built for Mi-171 helicopter. And on-ground test condition was built for analogous and digital flight control system. Test of on-ground system simulation and aerial flight were done by referring to Flight Test Outline. Results of flight test indicate that all classifications satisfy criteria at once, and the test results of aerial and on-ground are in good concordance …
Design On Parallel Simulation System For Radar/Ir Dual Mode Compound Guidance, Shiming Zhao, Zhiyue Sun
Design On Parallel Simulation System For Radar/Ir Dual Mode Compound Guidance, Shiming Zhao, Zhiyue Sun
Journal of System Simulation
Abstract: Aiming at simulation test requirement for Radar/IR dual mode compound guidance seeker, the HWIL simulation system for dual mode compound guidance based on parallel simulation was designed in detail, the key technology design was studied mainly, which consists of control mode and control relation, compound guidance information fusion and decision-making design, and parallel simulation Space and Time Consistency. The simulation model of parallel simulation system, missile attitude motion error model and target space error model were built for the Space and Time Consistency analysis. The simulation results show that simulation test and evaluation application requirement is satiable, and …
Chimera Grid Methods Applied In Astronautics Aerodynamic Problems, Yuan Wu
Chimera Grid Methods Applied In Astronautics Aerodynamic Problems, Yuan Wu
Journal of System Simulation
Abstract: Structured chimera grid method has been considered as the most applicable technology to solve aerodynamic problems of multi-component configuration aircraft at current stage. Therefore, by using structured chimera technology and CFD method, two typical aerodynamic problems of conventional tactics missile configuration with rudder deflection were thoroughly investigated: i) a simple and practical linear modification model for micro unsymmetry configuration was proposed which could effectively reduce the range of error and eliminate its skewness properties caused by asymmetric separation vortex, while the traditional method introduced lateral aerodynamic error in data transformation; ii) 3-tunnel linear adding model was investigated and the …
Semi-Naive Bayesian Forecasts Rainfall On Cloud Platform, Shengjun Xue, Peiyun Zhang, Jingyi Chen
Semi-Naive Bayesian Forecasts Rainfall On Cloud Platform, Shengjun Xue, Peiyun Zhang, Jingyi Chen
Journal of System Simulation
Abstract: Rainfall forecast has played an increasingly important role of meteorological services. As cloud platform can improve the efficiency and accuracy of rainfall forecast, it has been applied to forecast rainfall. The recent forecast methods require the independence between all the attributes, but most of the meteorological factors are interdependent, which reduces the accuracy of the prediction. Consequently, a semi-naive Bayesian classification was proposed combined with fuzzy set theory realizing it on cloud platform. At the same time, to improve the accuracy and the efficiency of rainfall forecast, a forecast model was established, which used the historical weather data …
Cell Voltage Optimization Of Aluminum Electrolysis Based On Neural Network-Genetic Algorithm, Chenhua Xu, Li Zhi
Cell Voltage Optimization Of Aluminum Electrolysis Based On Neural Network-Genetic Algorithm, Chenhua Xu, Li Zhi
Journal of System Simulation
Abstract: In order to reduce the production cost of electrolytic aluminum, an optimization extreme method was proposed based on neural network and genetic algorithm, to find the optimal production cell voltage and the corresponding production conditions. Using kernel principal component analysis method to determine the key parameters affecting of aluminum electrolysis production, a neural network model of electrolytic aluminum was established. Using the genetic algorithm, the global optimal value of the cell voltage of the electrolytic aluminum and the corresponding production conditions were found. The simulation results show that the neural network and genetic algorithm can predict the cell …
Simulation Study Of Grid-Side Improved Control Strategy For Direct-Driven Wind Turbine Under Unbalanced Faults, Wang Dan, Chongru Liu, Gengyin Li
Simulation Study Of Grid-Side Improved Control Strategy For Direct-Driven Wind Turbine Under Unbalanced Faults, Wang Dan, Chongru Liu, Gengyin Li
Journal of System Simulation
Abstract: In order to reduce the power and DC voltage fluctuations of direct-driven wind turbine under unbalanced grid faults, an integrated and improved control strategy for grid-side converter was proposed. In the analysis of grid-side power characteristics, positive and negative sequence components of grid-side voltage and current were calculated by converting them to the same reference frame and a compensation control loop to simultaneously restrain the second harmonic components of active and reactive power was designed on the basis of quasi proportional resonant control. Moreover, to reduce DC-link overvoltage, a feed-forward modified component reflecting the active power error between the …
Co-Design Between Robust H∞ Guaranteed Cost Fault-Tolerant And Communication For Nncs Based On Event-Triggered, Li Wei, Kun Yan, Yajie Li
Co-Design Between Robust H∞ Guaranteed Cost Fault-Tolerant And Communication For Nncs Based On Event-Triggered, Li Wei, Kun Yan, Yajie Li
Journal of System Simulation
Abstract: Based on the discrete event-triggered communication scheme (DETCS), the co-design between robust H∞ guaranteed cost fault-tolerant control and communication was studied for uncertain nonlinear networked control system (NNCS) with actuator failures. Firstly, a new closed-loop failure model was established by introducing the DETCS and adopting state feedback control strategy. Then, based on the Lyapunov stability theory and less-conservative technology, the sufficient condition of NNCS with robust H∞ guaranteed cost was derived, which was the time-delay/event-dependent approach, moreover, some optimal co-design methods between the fault tolerant controller and event-triggered weight matrix were given. Furthermore, the co-design problems of …
Lie Group Modeling And Optimal Control Of Underwater Vehicle, Bai Long, Zhifeng Dong, Xinsheng Ge
Lie Group Modeling And Optimal Control Of Underwater Vehicle, Bai Long, Zhifeng Dong, Xinsheng Ge
Journal of System Simulation
Abstract: The Lie group modeling method and gauss pseudo-spectral energy optimal control of the underwater vehicle are in research. Simplifying the underwater vehicle to be a free rigid body, in view of the possible large attitude angle maneuvering of the underwater vehicle, importing the concept of lie group and lie algebra, combining with the variation method and Lagrange method, the dynamics equation of the rigid body was derived, translating the tradition expression of the hydrodynamic force to obtain the dynamics equation of the underwater vehicle base on the lie group. With the Gauss pseudo-spectral method, the continue space optimal …
Microscopic Online Simulation Method Of Road Traffic Accident Emergency Disposal, Peiqun Lin, Jiahui Liu, Kaibin Yao
Microscopic Online Simulation Method Of Road Traffic Accident Emergency Disposal, Peiqun Lin, Jiahui Liu, Kaibin Yao
Journal of System Simulation
Abstract: An online simulation based decision making method was proposed to search for the comparatively optimal emergency disposal plan quickly and quantitatively after the traffic accident, and the evaluation index of traffic emergency disposal plans was proposed on the foundation of designing the process and framework of the online simulation, and the vehicle movement model applied to highway traffic accident was established. The online simulation based decision making system was developed using VISSIM-COM interface, and it has been applied to a typical highway of Guangdong Province. The simulation and the practical application results illustrate that multiple emergency disposal plans …
Joint Optimization Control Of Energy Storage System Management And Demand Response, Xueying Gao, Tang Hao, Gangzhong Miao, Zhaowu Ping
Joint Optimization Control Of Energy Storage System Management And Demand Response, Xueying Gao, Tang Hao, Gangzhong Miao, Zhaowu Ping
Journal of System Simulation
Abstract: The joint optimization problem of energy management and demand response were studied in order to reduce the long-run cost of electricity users equipped with energy storage unit and smart applications, and to increase their benefits meanwhile. The goals were achieved by controlling both the energy storage unit (charging, discharging, or idle) and the load service (access or delay). Based on the random nature of solar photovoltaic, load demand electricity and electricity price, the joint optimization problem was modeled as infinite-horizon Markov decision process model, and Q-learning algorithm was proposed to find the optimal solution. Simulation results show that the …
Analysis Of Lateral Force And Deviation Of Permanent Magnetic Levitation Belt Conveyor, Kun Hu, Wang Shuang, Yongcun Guo, Deyong Li
Analysis Of Lateral Force And Deviation Of Permanent Magnetic Levitation Belt Conveyor, Kun Hu, Wang Shuang, Yongcun Guo, Deyong Li
Journal of System Simulation
Abstract: On the basis of reasonable assumptions, lateral force mathematical model of permanent magnetic levitation belt conveyor maglev support system was simulated. The simulation results showed that conveyor lateral force and offset could have a monotonically increasing relationship. If the belt shifted, it would cause an increase in lateral force, which could cause conveyor belt further deviation. The traditional physical anti-deviation measures couldn’t apply to non-contact suspension support. In order to effectively solve the permanent magnetic levitation belt conveyor deviation problem, an automatic offset device was designed and the corresponding control strategy was proposed. The value of the lateral …
Research On Flame Radical Imaging And Extreme Learning Machine To Prediction Of Nox Emissions, Xinli Li, Li Nan, Yujia Sun, Lu Gang, Yan Yong, Liu Shi
Research On Flame Radical Imaging And Extreme Learning Machine To Prediction Of Nox Emissions, Xinli Li, Li Nan, Yujia Sun, Lu Gang, Yan Yong, Liu Shi
Journal of System Simulation
Abstract: Flame radicals are crucial for an in-depth understanding of the combustion mechanisms. The spectral characteristics of flame radicals were studied based on digital imaging and feature extraction techniques. The information obtained was used to establish the extreme learning machine (ELM) model which can be used to predict the NOx emissions based on the experimental data and digital simulation from a biomass-gas-air combustion process. The digital images of four flame radicals, i.e., OH*, CN*, CH* and C2*, were collected using an EMCCD (Electron Multiplying Charge Coupled Device) camera. The image segmentation was performed using the fuzzy C-means (FCM) …
Application Of Pso-Bp Algorithm In Hydraulic System Fault Diagnosis, Handong Zhang, Liusong Tao
Application Of Pso-Bp Algorithm In Hydraulic System Fault Diagnosis, Handong Zhang, Liusong Tao
Journal of System Simulation
Abstract: It is of great significance to monitor, forecast and diagnose hydraulic systems’ fault timely and accurately. First, this paper describes the basic fault model theoretical knowledge of BP neural neystem failure neural network modeling has created and simulated. PSO-BP neural network has been raised, this paper has established PSO optimize model of the BP neural system fault diagnosis. BP network has been created and simulated in Plunger pump hydraulic system failure. The correct results indicate that this mixed PSO-BP algorithm is better than the improved BP algorithm, and can meet the requirements of Hydraulic system fault diagnosis.
Study On Flywheel Automotive-Brake Energy Recovery System, Juhua Huang, Fuzhong Wang, Junping Yang
Study On Flywheel Automotive-Brake Energy Recovery System, Juhua Huang, Fuzhong Wang, Junping Yang
Journal of System Simulation
Abstract: The generator automotive-braking energy recovery system can only be applied to the new energy vehicles. In order to improve the situation, a kind of flywheel automotive-braking energy recovery system (FAERS) was proposed that could be applied to the traditional vehicles. The structure of the FAERS was designed and its working principle was explained in detail. The working principle of the FAERS and the main structural parameters—the maximum torque of the electromagnetic clutch, the transmission ratio of the energy storage flywheel and the rotational inertia of the energy storage flywheel were simulated in the environment of Matlab-Simulink, which …
Cpcw Design And Performance Analysis For Mimo Radar, Shen Dong, Li Qiang, Liu Xin, Zhou Yu
Cpcw Design And Performance Analysis For Mimo Radar, Shen Dong, Li Qiang, Liu Xin, Zhou Yu
Journal of System Simulation
Abstract: Based on the good correlation and random property of chaotic phase coding waveform (CPCW), a method is proposed to increase the target detection performance of multiple-input multiple-output (MIMO) radar with CPCW. CPCW can be generated by uniform quantifying and quadriphase coding for chaotic sequences. Comparing the correlation property of four kinds of CPCW, the longer Tent phase coding waveform is chosen to increase the target detection performance of MIMO radar, especially for the close small target. Meanwhile, signal processing model is built by CPCW, and multiple pulse compression accumulation can help to reduce the cross-correlation and auto-correlation sidelobes of …
3d Dynamic Simulation Of Dual Wedge Scanning Imaging System, Ma Jie, Yu Wei, Zhiwei Zhou, Wenxiu Yang, Xuegang Wu
3d Dynamic Simulation Of Dual Wedge Scanning Imaging System, Ma Jie, Yu Wei, Zhiwei Zhou, Wenxiu Yang, Xuegang Wu
Journal of System Simulation
Abstract: Dual wedge scanning is a broad prospect method of next generation Laser imaging system. Due to the unique scanning mode and imaging characteristics, data of dual wedge Laser imaging system is sensitive to parameters and environment, and it is significant in both theory and application to research its feature of time and space. Based on the imaging principle of dual wedge scanning, the dynamic imaging process was modeled and a simulation system in three-dimensional environment was designed. Based on the imaging principle of dual wedge scanning, the dynamic imaging process was modeled and a simulation system in three-dimensional environment …
Traveling Wave Detection Fault Location Method Based On Src And Lcd, Yanfeng Gao, Yongli Zhu, Hongyan Yan, Yuanyuan Zhang
Traveling Wave Detection Fault Location Method Based On Src And Lcd, Yanfeng Gao, Yongli Zhu, Hongyan Yan, Yuanyuan Zhang
Journal of System Simulation
Abstract: The accuracy of fault detection by traveling wave is a key for distance measurement on transmission lines. A new traveling wave detection method was proposed based on SRC (Sampling Rate Conversion) and LCD (Local Characteristic scale Decomposition), which considered quantization error reduction and the signal decomposition. The sampling rate of the current line mode components with fixed sampling rate was converted to realize resampling of reconstructed signal. The local characteristic scale of resampling signal was decomposed and the instantaneous frequency of the first intrinsic scale component was calculated by using Teager energy operator, which identified the moment …
Dynamic Design For Vibratory Compaction System Basing On Chaos Identification, Peihui Shen, Shuwen Lin
Dynamic Design For Vibratory Compaction System Basing On Chaos Identification, Peihui Shen, Shuwen Lin
Journal of System Simulation
Abstract: According to the shortage of traditional design method and the fact that the effects of nonlinear chaotic vibration on human health were ignored in the research of compaction system, a dynamic design method basing on chaos identification was proposed. A two degree of freedom dynamic model was established and the bifurcation diagrams were described for vibratory compaction system. The dynamic responses of the system were analyzed in the cases of three different soil parameters representing the early, medium and later stage of compacted material. Research shows that, selecting the ratio of the frame quality and the vibration wheel quality …
Grid Side Power Factor Control Strategy For Matrix Converter, Guo Hai, Quan Yue, Sun Wen, Zhiping Fan
Grid Side Power Factor Control Strategy For Matrix Converter, Guo Hai, Quan Yue, Sun Wen, Zhiping Fan
Journal of System Simulation
Abstract: Since input filter is usually ignored in the modulation strategy for matrix converter, only the input current of converter is controlled in the same phase with grid voltage. Phase advance of grid current will come about as a result of current of capacitor and the power factor of grid side will be reduced. To solve this problem, the mathematical model of matrix converter was analyzed and the relationship between the real power factor and parameters of the system was studied. A grid current closed-loop control strategy was proposed. As the control objective of the strategy, the grid current was …
Method For Modulation Recognition Of Radar Signals In Complex Environment, Jiang Li, Guoqing Zhao, Li Lin
Method For Modulation Recognition Of Radar Signals In Complex Environment, Jiang Li, Guoqing Zhao, Li Lin
Journal of System Simulation
Abstract: As the increasing application of intra-pulse modulations, modulation recognition of radar signals becomes difficult in radar reconnaissance systems. Usually, there are multipath interferences along with the intercepted signal. The conventional methods become slowdown because of the multipath interferences. Aiming at radar signals in multipath channel, a feature extraction method was proposed based on higher order ambiguity function (AF) and singular vector decomposition, adopting the linear support vector machine (SVM) classifier to determine the types of the intercepted radar signals. Theoretical analysis and simulation results show that the proposed method has good ability to suppress the influence of multipath interferences …
Simulation Study Of Ac/Dc Converter For Marine Medium Voltage Test Power System, Kun Xia, Zhang Shuo, Yuan Yin, Zhang Ping
Simulation Study Of Ac/Dc Converter For Marine Medium Voltage Test Power System, Kun Xia, Zhang Shuo, Yuan Yin, Zhang Ping
Journal of System Simulation
Abstract: In order to realize the simulation of marine medium voltage power system of 40kW capacity in laboratory, it is necessary to convert AC 380V of generators outputs to the stable 4kV DC output. Two level transformations were applied in the system. The bridgeless boost PFC circuit was applied in AC/DC conversion in front. Four roads of full bridge PWM converters in cascade mode were applied to boost the voltage in DC/DC conversion at the end. One of them was the phase-shift full bridge to achieve the control of adjusting voltage output. The other three bridges were common full bridge …
Research On Influence Factors Of Head And Face’S Heat Accumulation In Anti-Riot Helmet Based On Simulation, Hongwei Zhuang, Dehai Xiang, Fadong Zhao, Weiwei Zhuang
Research On Influence Factors Of Head And Face’S Heat Accumulation In Anti-Riot Helmet Based On Simulation, Hongwei Zhuang, Dehai Xiang, Fadong Zhao, Weiwei Zhuang
Journal of System Simulation
Abstract: Aiming at the serious heat accumulation problem to soldiers’ head and face while wearing anti-riot helmets in high temperatures, a 3D model of human head and an anti-riot helmet were established based on CT image data and GA294-2012 Standard of Anti-riot Helmet. The Pennes bio-heat transfer equation was chosen as the control equation, then a "head-helmet" heat transfer model was built. On the platform of ANSYS-Fluent software, the three-dimensional thermal process of "head-helmet" system were numerically simulated. And on the basis the influence brought from anti-riot helmet shell material, buffer layer material and vent hole to head facial …
Modeling Computation Entity Of Cps Based On Dynamic Behavior, Ye Feng, Xia Yang, Zhaoxiang Shen, Yunchao Zhu
Modeling Computation Entity Of Cps Based On Dynamic Behavior, Ye Feng, Xia Yang, Zhaoxiang Shen, Yunchao Zhu
Journal of System Simulation
Abstract: The Cyber-Physical System (CPS) has been highly concerned since it was proposed. However, the key of creating a good CPS system critically depends on the prophase design of the system model. Currently, it has become the focus and difficulty of research at home and abroad that models a CPS system with comprehensive, robustness, security. According to the previous studies, the CPS system was divided into computing entity, physical entity and control entity. A modeling method of computation entity of CPS was provided, which is DBM-UML (Dynamic behavior modeling-UML). With this method, an analysis of the entire system's structure …
Research Of Under-Determined Blind Source Separation Anti-Collision Algorithm Based On Rfid Frame-Slot, Xiaohong Zhang, Yungang Jin
Research Of Under-Determined Blind Source Separation Anti-Collision Algorithm Based On Rfid Frame-Slot, Xiaohong Zhang, Yungang Jin
Journal of System Simulation
Abstract: For the algorithm of under-determined blind separation’s result becomes worse as the increasing number of tags, causes the decline of the overall system performance or other issues, a novel parallelizable identification anti-collision algorithm based on NMF and framed-slot was proposed. The number of tags in each slot can be controlled within the optimum range by selecting the reasonable number of slots, remained the best condition of the RFID system. Compared with the Blind Separation and Dynamic Bit-Slot Group (BSDBG) algorithm using the same multi-antenna technology, the simulation results show that the tag identification rate improves from 180% to 389% …
Framework And Methodology For Logistics Simulation Based On Fidelity Theory, Yukun Liu, Fu Yu, Mengrui Shan
Framework And Methodology For Logistics Simulation Based On Fidelity Theory, Yukun Liu, Fu Yu, Mengrui Shan
Journal of System Simulation
Abstract: The quality issue of simulation was studied from the perspective of fidelity. The basic concepts and dimension structures of simulation fidelity and simulation utility were defined according to the features of discrete event logistics system (DELS) simulation after a relationship analysis between fidelity and problems in DELS simulation. A fidelity-based four-stage lifecycle framework with prescriptive contents for each stage was constructed to improve the quality of simulation implementation. A simulation fidelity management process model (FMPM) was built to ensure three processes: pre-control of fidelity design, in-process fidelity management, and afterward fidelity evaluation. Operable methods and tools such …