Application Of Chirp Signal In Underwater Acoustic Supervision System For Illegal Throwing Sand Behavior Detection,
2020
1. Key Laboratory of Underwater Acoustic Communication and Marine Information Technology, Ministry of Education, School of Information Science and Technology, Xiamen University, Xiamen 361005, China; ;
Application Of Chirp Signal In Underwater Acoustic Supervision System For Illegal Throwing Sand Behavior Detection, Zhangting Zhong, Yuan Fei, Jiale Wang, En Cheng
Journal of System Simulation
Abstract: To find an efficient and convenient method to determine whether a dredging is illegal is a very meaningful research content. A method of detection of throwing sand behavior based on Chirp signal was studied and three implementation schemes (subsection FFT fast correlation), FRFT and DeChirp were designed. The feasibility of the three schemes was verified by Wu Yuan Bay experiment and the simulation results. Anti-multipath and anti-noise performance of FRFT transform is the best. The performance of dechirp is the worst. Through the analysis, it comes out the conclusion: when the multipath effect is serious, FRFT algorithm …
Improved Svdd For Speech Recognition And Simulation,
2020
1. College of Information Management, Shanxi University of Finance & Economics, Taiyuan 030006, China; ;
Improved Svdd For Speech Recognition And Simulation, Hao Rui, Xiaofeng Liu, Yanbo Niu, Xiu Lei
Journal of System Simulation
Abstract: Support vector data description (SVDD) defines multi-class data by their respective hyper-spheres. The computational complexity of the quadratic programming problem is reduced significantly and it is easier to solve multi-class classification problems. Thus, SVDD has attracted more and more attention in the field of speech recognition research. For the problems of the feature vectors of speech samples overlapping and updating, the conventional SVDD for multi-class classification was improved. On the one hand, the spatial position of the samples was fully used to construct the decision function in overlapping domain of hyper-spheres; On the other hand, based on class incremental …
Hierarchical Agglomerative Community Detection Algorithm Based On Similarity Modularity,
2020
College of Computer Science and Technology, China University of Mining and Technology, Xuzhou 221116, China;
Hierarchical Agglomerative Community Detection Algorithm Based On Similarity Modularity, Wenwei Zhan, Jingke Xi, Zhixiao Wang
Journal of System Simulation
Abstract: Fast Unfolding is a hierarchical community detection algorithm based on modularity. It runs very fast, but the accuracy needs to be improved. Because the algorithm adopts traditional modularity to merger communities, it only considers node link information and ignores the neighbor nodes. Therefore, two nodes that have common neighbors and weak link information may not be merged, thus affecting the accuracy. In view of the shortcomings, a hierarchical agglomerative community detection algorithm based on similarity modularity was proposed through introducing optimized similarity to improve the modularity. It adopts NMI as the accuracy measurement. Experiments on the real network …
Simulation Research On The Multipath Effect Of Bds Geo/Igso Satellite Navigation Signals,
2020
1. The 54th Research Institute of CETC, Shijiazhuang 050081, China; ;2. State Key Laboratory of Satellite Navigation System and Equipment Technology, Shijiazhuang 050081, China;
Simulation Research On The Multipath Effect Of Bds Geo/Igso Satellite Navigation Signals, Yachuan Bao, Baoguo Yu, Mingfeng Qin, Luo Yi
Journal of System Simulation
Abstract: Pseudo range measure error oscillation phenomenon was discovered in BDS GEO/IGSO satellites monitoring. Research on the phenomenon was made with multipath signal generation and multipath effect theory. The dynamic multipath effect of satellites including GEO, IGSO and MEO were simulated based on the construction of dynamic model of satellites and multipath mirror reflection model. Theory analysis and simulation were made on the pseudo range and carrier phase measure error caused by different dynamic multipath effect. The simulation result is similar with the measure result of practical observation, which gives a new reference for the final revelation of the reason …
Telemetry Parameters Simulation Of Spacecraft Based On Computation Tree,
2020
Beijing Aerospace Control Center, Beijing 100094, China;
Telemetry Parameters Simulation Of Spacecraft Based On Computation Tree, Ti Zhou, Miao Yi
Journal of System Simulation
Abstract: Simulation system of spacecrafts' Telemetry and Command (TT&C) needs to simulate lots of telemetry parameters in every missions, whose computing algorithms are different. In the past applications, these algorithms are fixed as codes in software programs, so it is very difficult to improve the maintainability and reuse of the simulation system. By studying the computing methods of telemetry parameters described in configuration files, a design scheme was given in which the algorithms of parameters were flexibly configured, and the principle of methods were described specially in computing parameters, software models, data structure and algorithms. In this framework, the algorithms …
Efficient Resource Search Mechanism In Selfish Mobile Peer-To-Peer Network,
2020
1. Institute of Information, Hunan University of Humanities, Science and Technology, Loudi 417000, China; ;
Efficient Resource Search Mechanism In Selfish Mobile Peer-To-Peer Network, Liu Hao, Xuelong Zhang
Journal of System Simulation
Abstract: Because of the influence of node's own state and other factors, the node in mobile P2P network often shows the selfishness and resource preference, which greatly affects the resource search efficiency of the network system. Aiming at this problem, a novel resource search mechanism was proposed based cooperation degree of nodes in selfish mobile Peer-to-Peer network. In the search mechanism, through the comprehensive evaluation of the node's information forwarding rate, the overall similarity and the core degree, the node with the highest degree of cooperation was selected as the relay node for information forwarding. At the same time, through …
Lidar-Based Relative Position And Attitude Filtering For Unknown Targets,
2020
1. China Academy of Space Technology, Qian Xuesen Laboratory of Space Technology, Beijing 100091, China; ;
Lidar-Based Relative Position And Attitude Filtering For Unknown Targets, Song Liang, Li Zhi, Xingrui Ma
Journal of System Simulation
Abstract: A LIDAR-Based Extended Kalman Filter (EKF) for relative position and attitude estimation of unknowns target was proposed. The relative position and attitude between the target and a servicing spacecraft was solved by the Iterative Closet Point (ICP) using LIDAR point cloud data, which served as the EKF's measurement input. The system states of EKF include the relative attitude, angular velocity, inertia ratios, relative position, relative velocity, and the position/attitude of target measurement reference frame with respect to target principle frame. The proposed filter estimated the relative position and attitude as well as the unknown parameters of the target. …
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. …
