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.
Simulation Of Ultrasonic Shear Wave Imaging In Detection Of Liver Rupture,
2020
1. College of Science, Liaoning Shihua University, Fushun 113001, China; ;
Simulation Of Ultrasonic Shear Wave Imaging In Detection Of Liver Rupture, Yu Jiao, Erwei Nie, Yanying Zhu
Journal of System Simulation
Abstract: Ultrasonic shear wave imaging technology provides the elastic information of the soft tissue by examining the propagation of the shear waves in the tissue. The possibility of using ultrasonic shear wave imaging technology combined with a directional filter for the detection of liver rupture was explored. The COMSOL Multiphysics software was used to simulate the generation and propagation of the shear waves in the liver medium with a rupture, a directional filter-based algorithm was applied to separate the incident wave and reflected wave, and an edge detection algorithm was applied to detect and delineate the liver rupture. Preliminary results …
Embedded Real Time Network Multimedia Data Transmission Method,
2020
The College of Physics and Electronic Information, Anhui Normal University, Wuhu 241000, China;
Embedded Real Time Network Multimedia Data Transmission Method, Zaijian Wang, Ting Wan, Dandan Wu, Qingqing Xing
Journal of System Simulation
Abstract: To improve the speed of data acquisition and real-time video transmission, Filed Programmable Gate Array (FPGA) as the core processor, the Verilog HDL was used to describe the circuit function realization to realize the high-speed access of Synchronous Dynamic Random Access Memory (SDRAM) based on a typical network real-time transmission network multimedia service data. The new high-speed real-time transmission of video data took full advantage of the characteristics of FPGA parallel processing to improve video data acquisition and transmission rates. The experimental results demonstrate the effectiveness of the method.
Wormhole Attack Detection Scheme Design In Zigbee Network,
2020
1. PLA Information Engineering University, Zhengzhou 450004, China; ;
Wormhole Attack Detection Scheme Design In Zigbee Network, Yanqing Shi, Chen Wei, Bin Yu
Journal of System Simulation
Abstract: Wormhole attacks destroy the network topology, routing discovery and resource allocation in ZigBee network. A wormhole attack detection scheme was proposed, based on the definition of wormhole node, explicit wormhole node and implicit wormhole node. The scheme marked wormhole nodes by judging the matching between neighborhood and communication radius. On this basis, the scheme designed a type recognition mechanism of wormhole nodes. Safety analysis and experiment results show that the scheme detects wormhole attacks effectively with low communication overhead and computation cost.
Research On Power/Electrical Integrated Simulation Platform Of Nuclear Power Plant Based On Pscad,
2020
1. Shenyang Institute of Engineering, Institute of Electric Power, Shenyang 110136, China; ;
Research On Power/Electrical Integrated Simulation Platform Of Nuclear Power Plant Based On Pscad, Ye Peng, Qin Wei, Teng Yun, Yaoning Hu
Journal of System Simulation
Abstract: Nuclear power plant (NPP) has the characteristics such as complex internally operation, being sensitive to power network changing and large mathematical models. According to electromagnetic transient simulation platform PSCAD, an integrative simulation platform was established to reflect power regulation characteristic in the power section of nuclear power plant (NPP) and the dynamic operation conditions when NPP was incorporated into power system. With the powerful dynamic control ability and abundant library elements of PSCAD, simulation results proved the power regulation capability in NPP. Disturbed capability analysis of NPP was made during the load-following process after NPP merges into power grid, …
E-Learner's Emotion Regulation Model With Undirected Gaussian Graphical Model,
2020
1. Center of Network and Information Technology, Xinjiang University, Urumqi 830046, China; ;2. Xinjiang Laboratory of Multi-Language Infornation Technology, Xinjiang University, Urumqi 830046, China; ;
E-Learner's Emotion Regulation Model With Undirected Gaussian Graphical Model, Jiwei Qin, Turgun· Ibragim, Huiguo Zhang
Journal of System Simulation
Abstract: Based on the absence of emotion in the background, e-Learner's emotion regulation model with simple variable can't fit the sparse and complex data in e-Learning, an e-Learner's emotion regulation model was proposed by Undirected Gaussian Graphical Model, which emphasized on many kinds of factor influences in emotion regulation. Correlation analysis, statistics, Gaussian undirected graph model fit the data to understand the relationship between data variables by using Chow-Liu algorithm, which searched for the smallest BIC forests and built e-learner's emotion regulation model based on the e-Learner's log. This model gives a basis for emotion regulation in e-Learning.
Research And Simulation Of Satellite Channel Three-State Markov Model Under Fog-And-Haze Weather,
2020
1. College of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China; ;2. Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology (CICAEET), Nanjing 210044, China;
Research And Simulation Of Satellite Channel Three-State Markov Model Under Fog-And-Haze Weather, Yecai Guo, Lijian Cai, Weijuan Zhao, Xiuzai Zhang
Journal of System Simulation
Abstract: To accurately reflect the influence on the statistical characteristics of satellite channel under the fog-and-haze weather, the fog-and-haze weather was divided into the fog state, mixed state, and haze state, respectively, and their statistical characteristics were described by Rice model, Corazza model, and Suzuki model. Based on analyzing the conversion relation between fog-and-haze weather states, the satellite channel three-state Markov model was proposed. The defined joint level pass rate, the average fading duration and its relative error were used as the performance index of the satellite channel model, and the simulation tests were carried out. The simulation results show …
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 …
Research On Panoramic Image Mosaic Method Based On Camera Calibration,
2020
1. Institute of Geospatial Information, Information Engineering University, Zhengzhou 450052, China; ;
Research On Panoramic Image Mosaic Method Based On Camera Calibration, Jialin Ma, Jinming Zhang, Weixin Sun
Journal of System Simulation
Abstract: A panoramic mosaic method was proposed based on camera calibration, geometric distortion correction and rotation transformation processing was done for stitching image, in order to improve the accuracy of image registration and panorama stitching quality. The homography was acquired by calculating the camera linear calibration, and the inside and outside parameters of the homography were separated. The radial distortion of the image was calculated by the inside parameters, and the image geometric distortion was corrected; a sequence of images was transformed in the same world coordinates using the external parameters; image registration was achieved accurately though the same name …
Woodcock Tracking Based Fast Monte Carlo Direct Volume Rendering Method,
2020
Anhui Technical College of Industray and Economy, Hefei 230051, China;
Woodcock Tracking Based Fast Monte Carlo Direct Volume Rendering Method, Shoudong Zhou
Journal of System Simulation
Abstract: Woodcock-Tracking sampling algorithm is a frequently applied ray sampling method, which plays an important role in optimizing the Monte Carlo direct volume rendering method. However, without considering the volume of color's variation in different region by using this method, the situation that region with great color's variation may only get a few samples was caused and the authenticity of volume data would be affected. Entropy to indicate color's variation in volume was introduced, an entropy based adaptive Woodcock-Tracking method was developed, which could sample more points in region with higher color's variation. To overcome biases caused by adaptive Woodcock-Tracking …
Coordinated Control Of Power System Based On Direct Neural Dynamic Programming Method,
2020
1. School of Mechanical-electronic and Automobile Engineering, Beijing University of Civil Engineering and Architecture,Beijing 100044,China; ;2. Beijing Key Laboratory of Service Performance of Urban Rail Transit Vehicles, Beijing University of Civil Engineering and Architecture,Beijing 100044, China.;
Coordinated Control Of Power System Based On Direct Neural Dynamic Programming Method, Yu Miao, Weipeng Shang, Lu Ning
Journal of System Simulation
Abstract: Inter-area low frequency oscillation with weak damping is a key issue affecting the security and stability operation of power grid. Currently, the implementation of wide-area DC and generator control has become one of the important means to improve inter-area low frequency oscillation damping. But the coordination among the controllers of generator, HVDC and FACTS needs to further studying. The application structure of direct neural dynamic programming method in power system stability control was proposed, and based on phase-shift neural network of general lead-lag link, the proposed method was embedded in the traditional power system stability controller. It was applied …
Pedestrian Flow Simulation Model Based On Potential Grid And Its Application To Lane Formation Phenomenon,
2020
1. Sino-French Engineering School, Beihang University, Beijing 100191, China; ;
Pedestrian Flow Simulation Model Based On Potential Grid And Its Application To Lane Formation Phenomenon, Le Fang, Xuefu Jin, Siyuan Wang, Wang Ying
Journal of System Simulation
Abstract: By combining macro characteristics in fluid mechanics model and micro characteristics in social force model together, and using Dijkstra algorithm to establish a potential function covering the whole field of simulation, with the guidance of Smoothed Particle Hydrodynamics, a new model was created in order to keep both macroscopic and microscopic characteristics during the process of simulation. This new model was verified by evacuation simulation in a music hall. Using this model, lane formation phenomena was reproduced. The definition of lane formation ratio makes it possible to analyze variations and causes of this typical self-organization phenomena, providing us with …
Online Optimal Control Method Of Conveyor-Serviced Batch Processing System,
2020
School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China;
Online Optimal Control Method Of Conveyor-Serviced Batch Processing System, Wu Song, Tang Hao, Tan Qi
Journal of System Simulation
Abstract: In conveyor-serviced batch processing system, jobs arrive dynamically and are stored in a buffer to be further processed by the batch processing machine. Under the cases of non-identical job sizes, online optimal control of the system with a single machine was mainly concerned. Optimization model of the system was built by using look-ahead range as control variable. The objective is to maximize the job processing rate of the system in infinite horizon. Two decision processes are included in the model, which are batching process and action-selection process. For the batching process, the rule of minimizing process-capacity wasting ratio of …
Co-Design Between New Event-Triggered Communication Scheme And Less Conservative Robust H∞ Fault-Tolerant Control For Networked Control Systems,
2020
College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China;
Co-Design Between New Event-Triggered Communication Scheme And Less Conservative Robust H∞ Fault-Tolerant Control For Networked Control Systems, Li Wei, Pengfei Zhai, Yajie Li
Journal of System Simulation
Abstract: Based on the analysis for the disadvantage of the current discrete event-triggered communication schemes, a new kind of event-triggered communication scheme constrained by transient and stead-state process was proposed to perfect the conservatism and isolation of the fault-tolerant controller. A closed-loop failure model which was concerned with state-error was established for networked control system. Using the improved Wirtinger's inequality and the improved reciprocally convex combination inequality, the co-design between new event-triggered communication scheme and less conservative robust H∞ fault-tolerant control for networked control systems was focused on. The simulation results show that the new discrete event-triggered …
Localization Method Based On Modified Cuckoo Difference Optimization For Wireless Sensor Networks,
2020
1. Key Laboratory of Industrial Advanced Process Control, Ministry of Education, Jiangnan University, Wuxi 214122, China; ;
Localization Method Based On Modified Cuckoo Difference Optimization For Wireless Sensor Networks, Dengfeng Liu, Zhang Li, Xiaoying Bing, Yuqian Shao, Baoguo Xu
Journal of System Simulation
Abstract: To solve the sensitive and accumulative ranging error issue in the trilateration method and the maximum likelihood estimation method for the DV-Hop localization algorithm, an algorithm based on the Cuckoo difference optimization was proposed. The proposed algorithm essentially turned the positioning calculation problem into a group optimization problem. Using the Cuckoo algorithm and the differential evolution algorithm for parallel optimization with double populations, the proposed algorithm fused the advantages of the two kinds of intelligent optimization algorithms, which dynamically rectified the abandoned factor and the scaled variation factor randomly at the same time. The Cuckoo differential evolution algorithm's global …
Evaluation Method Research For Coal Mine Services Policy,
2020
School of Computer Sciences and Technology, Henan Polytechnic University, Jiaozuo 454000, China;
Evaluation Method Research For Coal Mine Services Policy, Xue Xiao, Bin Gui, Yongmao Wang
Journal of System Simulation
Abstract: Mine service is the integration of the package which is based on a number of existing information system, the operation effect of service strategy directly determines the overall performance of the service system. However, due to the complexity of coal mine accidents and the special of mine environment, testing and evaluation of service strategy is very difficult in the actual environment. In order to solve this problem, an integrated evaluation method of coal mine service policy was proposed based on computational experiment. This method could be divided into three steps: the adaptive service strategy of service system in the …
Modeling And Simulation Of Marine Traffic Macroscopic Flow Complexity,
2020
1. School of Navigation, Wuhan University of Technology, Wuhan 430063, China; ;2. Hubei Key Laboratory of Inland Shipping Technology,Wuhan 430063, China; ;3. National Engineering Research Center for Water Transport Safety, Wuhan 430063, China; ;
Modeling And Simulation Of Marine Traffic Macroscopic Flow Complexity, Yuanqiao Wen, Du Lei, Yamin Huang, Tengda Sun, Changshi Xiao, Chunhui Zhou
Journal of System Simulation
Abstract: To accurately describe the difficulty of cognitive traffic in the view of traffic managers, a method for quantitative calculation of marine traffic macroscopic flow complexity was proposed. The similar ships were cataloged into a traffic cluster; According to the historical traffic flow field by interpolation method, the aggregation complexity, the speed-diachronic complexity and the density-diachronic complexity were evaluated. The cognitive complexity was obtained by the marine traffic macroscopic flow complexity, showing the cognitive complexity in the macroscopic complexity map. The simulation experiment shows the macroscopic complexity model is available for demonstrating the distribution of complexity in space.
Research On New Equalization Strategy For Series-Connected Battery Strings Based On Soc,
2020
Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Jiangnan University,Wuxi 214122, China;
Research On New Equalization Strategy For Series-Connected Battery Strings Based On Soc, Jianlong Huang, Tinglong Pan, Dinghui Wu
Journal of System Simulation
Abstract: The adjacent cells comparing strategy has a low energy transfer efficiency, and the MAX/MIN value strategy has a slow equalization speed. Then, a new equalization strategy was proposed to overcome above disadvantages, and the uniform of the SOC of the battery strings was used as the equalization goal in this strategy. The strategy used the estimation of the average balanced SOC as a reference, and controlled the switch states and the energy transfer direction of each equalizer, according to the energy distribution of the entire battery strings. With this strategy the unnecessary energy loss during energy transfer was reduced …
Cohesion Based Algorithm To Manage Ids Alerts,
2020
PLA Information Engineering University, Zhengzhou 450004, China;
Cohesion Based Algorithm To Manage Ids Alerts, Jinlei Huang, Hengjun Wang, Bin Yu
Journal of System Simulation
Abstract: On the basis of intrusion taxonomies and semantic similarity, the concept of cluster cohesion as well as an algorithm was proposed to manage IDS alerts. Based on cohesion, the proposed approach used improved bisecting K-means to aggregate massive alerts, and extracted the abnormal alerts from clusters formed in aggregation. The experimental results show that the approach is effective in alerts aggregation and abnormal alerts detecting, and can generate understandable meta-alerts with higher accuracy.
