Coverage Path Planning Algorithm Based On Centroidal Power Diagram,
2020
Schoolof Computer and Information, Hefei University of Technology, Hefei 230009, China;
Coverage Path Planning Algorithm Based On Centroidal Power Diagram, Liping Zheng, Yajun Cheng, Lu Chang, Ting Liao
Journal of System Simulation
Abstract: Coverage path-planning algorithm is widely used in mobile sensor networks, multi-robot system, and other fields. The coverage path planning algorithm based on CCCPD(Centroidal Capacity Constrained Power Diagram) was studied. The classical Lloyd based generating method for Centroidal Power Diagram was extended to PD-Lloyd algorithm, which could be used for path-planning. Two optimizing strategies were proposed to enhance the credibility of the PD-Lloyd algorithm by considering the physical moving characteristics of individuals in the real scene. Experiments prove that the proposed algorithm has advantages of well stability and inherent collision-free characteristic, and can generate more optimal motion path.
Real-Time Scheduling Algorithm Of Dynamic With Fault-Tolerant In Heterogeneous Distributed Systems,
2020
1. Dongguan Polytechnic, Dongguan 523808, China; ;
Real-Time Scheduling Algorithm Of Dynamic With Fault-Tolerant In Heterogeneous Distributed Systems, Chongjie Dong, Yuqiang Chen
Journal of System Simulation
Abstract: The traditional heterogeneous distributed real-time scheduling algorithm didn't give consideration to the dynamic behavior of tasks. An aperiodic non-preemptible and heterogeneous distributed dynamic fault-tolerant model and presenting two fault-tolerant scheduling algorithms was proposed based on this model: DRFSA algorithm and DSFSA algorithm. DRFSA(Dynamic and Reliability-driven of hybrid with Fault-tolerant Scheduling Algorithm)algorithm is to improve the system reliability as the scheduling objective through the reasonable scheduling. DSFSA (Dynamic and Schedulability-driven of hybrid with Fault-tolerant Scheduling Algorithm) algorithm is to improve schedulability as the scheduling objective and tries to enhance the schedulability through less task execution time. Both algorithms can dispatch …
Novel Method On Features Tracking For Multi-Image Matching,
2020
Information Engineering University, Zhengzhou 450000, China;
Novel Method On Features Tracking For Multi-Image Matching, Kaikai Jia, Zhenjie Zhang, Xiangyang Hao
Journal of System Simulation
Abstract: Considering the slow motion between adjacent frames in image sequence, optical flow can be applied on image matching. A novel method for multi-image matching based on features tracking was proposed. The algorithm tracked features between adjacent frames, combining with matching strategy and FB Error, to achieve fast and accurate matching. Multi-image matching was finished by tracking features between image sequence. The experimental results show that the novel algorithm improves the efficiency and ensure the accuracy.
Combination Model Of Network Security Situation Prediction Based On Cooperative Games,
2020
Department of Computer Engineering, Dongguan Polytechnic, Dongguan 523808, China;
Combination Model Of Network Security Situation Prediction Based On Cooperative Games, Ke Gang
Journal of System Simulation
Abstract: Influenced by a variety of complicated factors, the network security situation has many characteristics, such as highly nonlinear, time-varying, and mutant. It is difficult to predict accurately with a single prediction method. In response to this shortage, a new combined prediction model for network security situation was proposed based on cooperation policy theory. The network security situation was predicted respectively by using the Elman neural network model, GM(1,1)model, support vector machine (SVM) mode. The Shapley value method of cooperative games was applied to determine the weight of each single prediction model, and the prediction results were weighted calculated to …
Modeling Method Of Communication Networks Background Traffic For Counter-Command Simulation Training,
2020
Academy of National Defense Information, Wuhan 430010, China;
Modeling Method Of Communication Networks Background Traffic For Counter-Command Simulation Training, Yunjun Lu, Fuli Cai, Zhou Ming
Journal of System Simulation
Abstract: For the actual need of the communication networks modeling in combat command simulation, a modeling method of background traffic was proposed which was oriented towards counter-command simulation training under the guidance of basic idea of index modeling. The background traffic model was designed and the simulation verification was carried on. The results indicate that such method is able to generate background traffic rapidly and efficiently, meeting the requirement of simulation training.
Research Of Partial Synchronization-Based Movement Modeling,
2020
College of Information Systems and Management, National Univ. of Defense Technology, Changsha 410073, China;
Research Of Partial Synchronization-Based Movement Modeling, Yang Mei, Xu Xiao, Peng Yong, Rusheng Ju, Kedi Huang, Jiao Peng
Journal of System Simulation
Abstract: An effective method of partial synchronization-based movement modeling was proposed according to the characteristics of running fast and aggregated modeling. A mediate-based ABS M&S framework was analyzed to provide movement mediator for movement modeling. The situations of simple movement and movement with sense interactions were investigated on the basis of movement directive and typical sensor models, and the movement models were built, and the updates and synchronizations of positions were analyzed. The research shows that, the partial synchronization-based movement modeling in high level military analytic simulation can be effectively built to reduce redundant updates and computations of movement.
Research On Modeling Of Cyberspace Operation Based On Ebni Model Frame,
2020
1. National Defence University, Beijing 100091, China;;2. Luoyang Electronic Equipment Test Center, Luoyang 471003, China;
Research On Modeling Of Cyberspace Operation Based On Ebni Model Frame, Zhang Yang, Guangya Si, Yanzheng Wang
Journal of System Simulation
Abstract: The research about model framework of Cyberspace War was studied. On the base of EBNI, the model of Cyberspace Operation which faced to joint operation was researched, and then the direction idea of the entity model, the operation model and effect model were given. The “three-layer-viewer” of the entity in Cyberspace War based on capacity index was established, and the troop arranging model and equipment action model in Cyberspace War was researched. The effect model based on “mechanism+visualization” was set up.
Low-Thrust Trajectory In Interplanetary Flight Solved By Pseudospectral Method,
2020
Harbin Institute of Technology, Heilongjiang Province, Harbin 150001, China;
Low-Thrust Trajectory In Interplanetary Flight Solved By Pseudospectral Method, Ruiye Jiang, Chao Tao, Songyan Wang, Yang Ming
Journal of System Simulation
Abstract: The local low-thrust trajectory optimization problem in interplanetary flight was obtained with pseudo spectral method. The dynamic equations of the low-thrust orbit and the design ideas of the indirect method to solve the low-thrust trajectory were introduced. How to use the pseudospectral method to solve the trajectory optimization problem was given. The GPOPS solver (General Pseudospectral Optimal Control Software) was used to design the optimal low-thrust orbit, and the performance indexes of designing the low-thrust orbit are chosen as time-optimal, fuel-optimal and energy-optimal condition. The GPOPS solver was used to obtain the initial values of the costate variables which …
System-Of-Systems Combat Ooda Loop Robustness Modeling And Experiment,
2020
1. The Joint Operations College, National Defense University, Beijing 100091, China;;
System-Of-Systems Combat Ooda Loop Robustness Modeling And Experiment, Mingzhi Zhang, Ma Li
Journal of System Simulation
Abstract: It is a difficult issue to design metrics of measure of the OSOS capabilities, which are emergent properties of OSOS. The concept of the OODA loop robustness was proposed and it was closely related to the overall capabilities of OSOS. A new method to measure the OODA loop robustness was discussed. The OSOS combat network mode was established l. Based on the weighted network, the Perron-Frobenius Eigenvalue (PFE) of the adjacency matrix of the network was used to measure the OODA loop robustness. Simulations show that there is a strong correlation between the PFE and the metric …
Modeling And Simulation Of Merging Behavior At Urban Expressway On-Ramp,
2020
Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji University, Shanghai 201804, China;
Modeling And Simulation Of Merging Behavior At Urban Expressway On-Ramp, Zuo Kang, Qiyuan Liu, Sun Jian
Journal of System Simulation
Abstract: In order to analyze the causation and evolution process of early on-set breakdown at bottlenecks deeply, the lane changing motivation model was established based on the whole vehicles' trajectory data at Hongxu Road on-ramp bottleneck in Shanghai China. The results show that prediction accuracy of the lane change motivation model is more than 73%. On this basis, the on-ramp microscopic traffic flow simulation proto type system ORBSIM was established with calibrated critical gap and IDM model in the C++ platform. The simulation results show that the ORBSIM can recur traffic flow characteristics and early on-set breakdown phenomenon. For further …
Simulation Analysis Of Combustion Optimization Scheme For Ultra Supercritical Wall Arrangement Tangential Circle Boiler,
2020
Department of Automation, North China Electric Power University, Baoding 071003, China;
Simulation Analysis Of Combustion Optimization Scheme For Ultra Supercritical Wall Arrangement Tangential Circle Boiler, Yingbao Li, Dongfeng Wang
Journal of System Simulation
Abstract: To research the combustion optimization scheme of air distribution type selection and low nitrogen oxides (NOx) emission in a 600MW supercritical wall arrangement tangential circle boiler, a modeling and simulating method which applied computational fluid dynamics (CFD) was proposed, the 3D grid model of the boiler is drawn by CAD software, the turbulence model, the radiation model and the inlet boundary condition of the boiler were determined, the boiler combustion simulation experiment was completed. The simulation results show that compared the change of velocity field, temperature field and NOx generation in the furnace under four type air distribution conditions …
Work Mode Identification Of Phased Array Radar With Denoising Auto-Encoder,
2020
School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China;
Work Mode Identification Of Phased Array Radar With Denoising Auto-Encoder, Haodong Liu, Weidong Jin, Chunli Chen, Cai Jian
Journal of System Simulation
Abstract: A new method to recognize phased array radar in different work modes was proposed based on multi-level modeling combined with Marginalized Stacked Denoising Auto-encoder. In order to analyze the change law of pulses intercepted by surveillance radar, multi-level modeling was proposed to model the pulses at pulse level, pulse group level and work mode level. Marginalized stacked denoising auto-encoder was trained to extract amplitude characteristics at the work mode level. SVM (Support Vector Machine) was added to the top of deep network to realize work mode identification of phased array radar. Qualitative experiments show that the new method is …
Action Recognition By Improved Dense Trajectories,
2020
School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China;
Action Recognition By Improved Dense Trajectories, Peizhen Xu, Zhibin Yu, Weidong Jin, Haiying Jiang
Journal of System Simulation
Abstract: In recent years, with strong robustness to fast irregular motion, the method of human motion representation based on dense trajectories has been used more and more in the field of behavior recognition. However, the relative motion of the background caused by the motion of the camera has a great influence on the extraction of the trajectories. In order to estimate the camera motion, the speed up robust feature (SURF) descriptor was used to match the feature points of each frame. Since the human motion and the camera motion were not same, human detection was added to remove inconsistent matches. …
Research Of State Vector In Short-Term Passengers Flow Forecasting Based On Nonparametric Regression,
2020
School of Civil and Transportation Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China;
Research Of State Vector In Short-Term Passengers Flow Forecasting Based On Nonparametric Regression, Guo Han, Pengpeng Jiao
Journal of System Simulation
Abstract: KNNR (K Nearest Neighbor Based Nonparametric Regression) Method was used for short-term traffic forecast and the choice of state vector was studied. The result shows that taking the data of some historical periods as the state vector has a good prediction. Although the correlation of the historical passenger flow between different Rail transit sites is significant, it neglects the fact that the passengers enter each station is independent. So taking the historical passenger flow of adjacent sites as the state vector is not appropriate.
Research On Dynamic Flexible Job Shop Scheduling Problem For Energy Consumption,
2020
Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Wuxi 214122, China;
Research On Dynamic Flexible Job Shop Scheduling Problem For Energy Consumption, Chen Chao, Wang Yan, Dahu Yan, Zhicheng Ji
Journal of System Simulation
Abstract: In order to solve the problem of uneven load and energy consumption under disturbance, a flexible job shop scheduling model with average flow time and energy consumption was constructed. Aiming at the above model, a genetic and simulated annealing algorithm (GASA) was designed, which is based on the genetic algorithm and the simulated annealing algorithm. A new group of individuals were generated by genetic algorithm. And then the individual simulated the annealing process, in order to avoid falling into the local optimal. Aiming at the dynamic flexible job shop scheduling problem, the rolling window technique and GASA algorithm were …
Fault Diagnosis Method Of Rolling Bearing Based On Wkelm Optimized By Whale Optimization Algorithm,
2020
Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Wuxi 214122, China;
Fault Diagnosis Method Of Rolling Bearing Based On Wkelm Optimized By Whale Optimization Algorithm, Jiya Xu, Wang Yan, Zhicheng Ji
Journal of System Simulation
Abstract: In order to recognize rolling bearing's fault types accurately according to the optimal characteristics of fault vibration signal of rolling bearing, a rolling bearing fault diagnosis method was proposed based on orthogonal matching pursuit algorithm and the optimized wavelet kernel extreme learning machine method. The OMP algorithm was used to de-noising the vibration signal of the bearing. The wavelet packet decomposition of the signal after de-noising was used to obtain the frequency band energy, and the fault characteristics were extracted. By using an improved whale optimization algorithm based on von-neumann, the penalty factor and kernel parameter of wavelet kernel …
Study On Motion Cueing Algorithm Of High-Fidelity Based On Fuzzy Logic,
2020
1. College of Aeronautical Engineering, Civil Aviation University of China, Tianjin 300300, China; ;
Study On Motion Cueing Algorithm Of High-Fidelity Based On Fuzzy Logic, Wang Hui, Daoyang Zhu, Ping Fan
Journal of System Simulation
Abstract: Because classical washout algorithm exists false cues and phase retardation, these problems cause the lack of motion proprioceptive fidelity in flight simulators. By combining human vestibular perception system and the theory of fuzzy logic control to regulate the feedback of its sensory error, the translational acceleration channel, the Tilt coordination channel and the angular velocity channel of classical wash out algorithm were compensated, respectively. Simulation and modeling was carried out by fuzzy logic washout algorithm, and simulation verification was conducted on a set of flight data within fuzzy logic washout algorithm. The simulation results show that the theory of …
Topology Control Algorithm Based On Link Available Time For Cognitive Radio Network,
2020
Computer Engineering, Dongguan Polytechnic, Dongguan 523808, China;
Topology Control Algorithm Based On Link Available Time For Cognitive Radio Network, Huaide Yang
Journal of System Simulation
Abstract: The topology changes frequently in cognitive wireless network as nodes' mobility, the main user interference, residual energy of nodes which cause link unavailable. A new topology control algorithm based on predict of link available time was proposed to resolve the problem. The algorithm forecasted link available time using probabilistic principles, and built a stable topology with longest available time links. Simulation results show that the new algorithm can take advantage of links with low mobility nodes, less interference caused by the primary user, and large remaining energy, simplify the network topology, effectively reduce the cost of the link topology …
Uav-Mimo Channel Characteristic Analysis Based On Gbsbcs Model,
2020
Department of UAV Engineering, Ordnance Engineering College, Shijiazhuang 050003, China;
Uav-Mimo Channel Characteristic Analysis Based On Gbsbcs Model, Xijun Gao, Zili Chen, Yongjiang Hu, Zidong Zhou
Journal of System Simulation
Abstract: The simple form of UAV space-time-frequency channel correlation function was presented based on the three-dimensional geometrically based single bounce concentric elliptic ring scattering (GBSBCER) channel model of Multi-Input Multi-Output（MIMO）for Unmanned Aerial Vehicle (UAV). The analytic formula of UAV-MIMO normalized correlation matrix was deduced. The effect of antennas structures, flight distance and scatters distributing on the characteristic parameters such as the condition number of UAV-MIMO channel matrix and the channel capacity were analyzed by this formula. The simulation results show that, the performance of UAV-MIMO communication can be improved by reasonably arranging the antennas, adjusting the flight parameters, which …
Filtering Based Maximum Likelihood Stochastic Gradient Prediction On Wind Power Curtailment,
2020
Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education),College of the Internet of Things, Jiangnan University, Wuxi 214122, China;
Filtering Based Maximum Likelihood Stochastic Gradient Prediction On Wind Power Curtailment, Ziyun Wang, Zhicheng Ji
Journal of System Simulation
Abstract: The parameter estimation problem of Hammerstein finite impulse response models and its application on the wind curtailment prediction field were considered. By adopting the maximum likelihood principle, the maximum likelihood estimate was obtained by minimizing the likelihood function. To reduce the impact of the unknown noise term, the maximum likelihood idea and the filtering theory were combined by changing the coupled nonlinear model into a parameter-independent model and to derive a filtering based maximum likelihood stochastic gradient algorithm for the Hammerstein system modeling on wind power curtailment prediction. The given simulation validates that the proposed algorithm can identify the …
