Point Cloud Segmentation Method Of Maize Ear,
2020
1. Beijing Research Center for Information Technology in Agriculture/ Beijing Key Lab of Digital Plant, Beijing 100097, China;;2. College of Computer Science, Beijing University of Technology, Beijing 100124, China;;
Point Cloud Segmentation Method Of Maize Ear, Weiliang Wen, Xinyu Guo, Yang Tao, Deda Zhao, Miao Teng, Hongyu Zhu, Chengyu Dong
Journal of System Simulation
Abstract: Three-dimensional (3D) segmentation of maize ear is the fundamental research of 3D ear phenotype. A method of 3D segmentation for maize ear was proposed in this paper. Firstly, 3D point cloud of maize ear was acquired by using SmartScan 3D scanner. Then the point cloud was simplified by point cloud resampling to improve the efficiency of subsequent algorithm. And a contraction transformation was employed to increase the distance of neighboring grains in Euclidean space by estimating the normal of each point through k-neighbor algorithm. Finally, the point cloud of maize ear was segmented by Euclidean clustering. Results showed that …
Monitoring Information Visualization For High-Filling Loess Project,
2020
School of Computer and Information, Hefei University of Technology, Hefei 230009, China;
Monitoring Information Visualization For High-Filling Loess Project, Liping Zheng, Chen Wei, Ting Liao, Lu Chang
Journal of System Simulation
Abstract: The construction of high-filled loess project facessome engineering and technical challenges,such as large and complex earth excavation and earth backfilling operations. According to this situation, this paper presents a dynamic visualization methods for high-filled project based on 3D GIS. By establishing the model of high-filled loess, comparative analysis and visual analysis, dynamic simulation of high-filled loess project, visualization and analysis of Dig-Fill process and monitoring information arerealized. The results show that this visualization method can directly and accurately display the construction process, help decision makers master construction information and process.
Gait Cpg Adjustment For A Quadruped Robot Based On Hopf Oscillator,
2020
School of Mechanical and Electrical Engineering, China Jiliang University, Hangzhou 310000, China;
Gait Cpg Adjustment For A Quadruped Robot Based On Hopf Oscillator, Haidong Xu, Gan Su, Ren Jie, Binrui Wang, Yinglian Jin
Journal of System Simulation
Abstract: CPG (central pattern generator) plays an important role for rhythm motion of the mammals. According to gait characteristics and kinematic relationship of hound, a full symmetric CPG network was built by considering the structure features of quadruped robot. Hopf oscillators model were chosen as core neuron models of CPG network, and the rotation matrix was used to connect four oscillators. After transformation by mapping function, output signals of CPG network were used to control joint angle of the virtual prototype robot. Quick and smooth transition between walk gait and trot gait were achieved by adjusting the parameters of CPG …
New Model For Mobile Indoor Maps Design And Expression,
2020
Institute of Geographical Spatial Information, Information Engineering University, Zhengzhou 450001, China;
New Model For Mobile Indoor Maps Design And Expression, Deng Chen, Jiangpeng Tian, Xia Qing
Journal of System Simulation
Abstract: Indoor maps are the basis and information carrier of indoor location services, and the transmission efficiency of the map information would be affected by the design of indoor maps. In order to improve the effect of indoor map symbol design, enrich and innovate the indoor map expression, a new model of indoor map design and expression is studied on the basis of summarizing and drawing lessons from the current research results. Firstly, the methods for classifying and grading the map elements, and the ideas and application values of the method for three dimensional non-photorealistic symbol design are summarized …
Variable Structure Pid Speed Control And Rotor Resistance Identification Of Induction Motor,
2020
Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Jiangnan University, Wuxi 214122, China;
Variable Structure Pid Speed Control And Rotor Resistance Identification Of Induction Motor, Xiaoyi Lü, Wang Yan, Zhicheng Ji, Dahu Yan
Journal of System Simulation
Abstract: With the aim of improving the performance of the vector controlled induction motor system, a novel control method which combines variable structure PID speed control with online identification of rotor resistance based on model reference adaptive system (MRAS) is proposed. The rotor resistance is identified by self-adaptive adjustment in the model reference adaptive system based on the instantaneous reactive power. Given that the parameters can not change on line and the integral saturation phenomenon often exists in traditional PID speed regulator, a variable structure PID speed controller is designed by integrating anti-windup technology with fuzzy theory based on traditional …
Cybersecurity, Privacy, And Artificial Intelligence: An Examination Of Legal Issues Surrounding The European Union General Data Protection Regulation And Autonomous Network Defense,
2020
University of Minnesota Law School
Cybersecurity, Privacy, And Artificial Intelligence: An Examination Of Legal Issues Surrounding The European Union General Data Protection Regulation And Autonomous Network Defense, Brandon W. Jackson
Minnesota Journal of Law, Science & Technology
No abstract provided.
Key Technologies Of Precaution And Prediction Of Abnormal Spatial-Temporal Trajectory: A Review Of Recent Advances,
2020
1. College of Command and Control Engineering, The Army Engineering University of PLA,Nanjing 210002, China;;
Key Technologies Of Precaution And Prediction Of Abnormal Spatial-Temporal Trajectory: A Review Of Recent Advances, Gongda Qiu, He Ming, Yang Jie, Yuting Cao, Jihong Sun
Journal of System Simulation
Abstract: The ex-post disposition of a major incident, which is expected to transform into prediction and precaution of abnormal behavior, is increasingly unable to meet the urgent needs of the society.Therapid development and popularization of sensor network and positioning technology lay the foundation for mining spatial-temporal trajectory data. With the key objective of prediction and precaution of abnormal trajectory based on big data mining, the future research directions and prospects on trajectory clustering and recognitionareanalyzed, discussed and elaboratedinthis paper.Temporal trajectory prediction applied in prediction and precaution of abnormal spatial-temporal trajectory is also presented, providing a reference for further research on …
Line-Rate Defenses Approach Against 10 Gbps Ddos Attacks,
2020
1. 3 JiLing University of Tech., Najing 211106, China, China;;
Line-Rate Defenses Approach Against 10 Gbps Ddos Attacks, Su Cheng, Wentong Wang, Shibao Yang, Xv Linlin, Xinan Tang
Journal of System Simulation
Abstract: Defenses approach against DDoS(Distributed Denial of Service) attacks is currently an important hot issues. We propose a new efficient defenses approach which adopts a detection system based on metadata analysis to identify the packages of DDoS attacks. The flow control rules are formed based on the summarized experience data. ACL (Access Control List) is applied through inline devices (firewalls and load balancers) or divider to limit rate, clean flow or drop package. 10Gbps bandwidth HTTP requests, which contain malicious DDoS attacks packages, can be detected and cleaned completely in line-rate speed. We especially summarize th traffic characteristics …
Lightweight Real-Time And Realistic Webgl Rendering Algorithm Based On Pbr,
2020
1. Changchun University of Science and Technology, Changchun 130000, China;;
Lightweight Real-Time And Realistic Webgl Rendering Algorithm Based On Pbr, Weixin Zheng, Jinyuan Jia
Journal of System Simulation
Abstract: Considering the weak rendering ability of web browser, the authenticity and aesthetics of Web3D rendering are always hot topics.In particular, the realization of PBR in the web-side and even dynamic editable are difficult.The realization and dynamic edit of PBR in the web end are especially difficult. Based on the problem mentioned, this paper presents a web-based lightweight real-time rendering algorithm with authenticity and high quality based on the PBR algorithm, which simplifies the complex calculation steps of the algorithm and reduces the computational complexity for rendering. The LPM (Lightweight Progressive Mesh) algorithm is reused to simplify the model file …
Two Image Watermarkingmethodsbased On Compressive Sensing,
2020
Hangzhou Institute of Service Engineering, Hangzhou Normal University, Hangzhou 311121, China;
Two Image Watermarkingmethodsbased On Compressive Sensing, Yidi Miao, Lü Ju, Xiumei Li
Journal of System Simulation
Abstract: As an emerging sample theory, compressive sensing attracts wide attention because it breaks through the Nyquist sampling theorem. , Two different methods of watermark embedding and extraction are presented by measuring the carrier image and watermark image respectively based on compressive sensing. Moreover, the attack tests, such as the Gaussian noise, pepper and salt noise, filtering, compression, and cropping, are implemented to watermarked images. Experiment results show that although the two different methods for image watermarking have different processing procedure, both can guarantee the robustness and security of embedded digital watermark.
Robotic Navigation Map Construction With Ultra-High Resolution Volumetric Grid,
2020
Institute of Geospatial Information, Information Engineering University, Zhengzhou 450001, China;
Robotic Navigation Map Construction With Ultra-High Resolution Volumetric Grid, Bingchuan Jiang, Wan Gang, Li Feng, Zhang Wei, Zhenfa Yang
Journal of System Simulation
Abstract: According to the requirements of specific application of robotic localization and navigation, a spatial modeling method of the robotic navigation map with ultra-high resolution volumetric grid model is proposed. The geographic spatial three-dimensional grid model is combined with the robotic navigation map and the consistency of spatial span, grid cell and data organization is analyzed. The characteristics of the robotic navigation map, the source and classification of the data, and the difference and relationship between SLAM are analyzed in detail. The robotic spatial data sets are discretized with the ultra-high resolution volumetric grid units as the data organization units. …
Multiple Model Predictive Control Of Waste Heat Recovery Systems Based On Organic Rankine Cycle,
2020
Hebei Engineering Research Center of Simulation & Optimized Control for Power Generation (North China Electric Power University), Baoding 071003, China;
Multiple Model Predictive Control Of Waste Heat Recovery Systems Based On Organic Rankine Cycle, Han Pu, Ting Zhang
Journal of System Simulation
Abstract: A multiple model predictive control strategy based on offline linear model is proposed for controlling the ORC-based WHRSs (waste heat recovery systems). The proposed control strategy is described for a wide operation region of the ORC system. A switching mechanism considering both instant output errors of each model and error accumulation is applied for the switch of local controllers in different operation regimes. Simulation results demonstrate that the proposed method can effectively regulate the evaporating pressure and the superheating temperature for the ORC-based WHRS throughout a wide operation region.
Fault Diagnosis Model Of Circuit Breaker Based On Sparse Representation And M-Elm,
2020
1. Department of Computer, North China Electric Power University, Baoding, 071003, China;;
Fault Diagnosis Model Of Circuit Breaker Based On Sparse Representation And M-Elm, Weihua Niu, Guishu Liang, Zhao Peng
Journal of System Simulation
Abstract: In order to improve the deficiencies of the conventional methods used to evaluate the mechanical properties of circuit breaker, a new circuit breaker diagnosis model based on sparse representation and M-ELM (Memetic-Extreme Learning Machine) is constructed. Auxiliary mark motion on the pull rod or shaft is recorded by a high speed camera when the circuit breaker is open or close. The motion trajectory is acquired through sparse representation and mechanical parameters, such as open and close velocity, are calculated according to the travel-time curve of the circuit breaker. With mechanical parameters characteristic values being inputs of M-ELM, fault …
Bi-Layered Network Model Of Command Information System Based On Task Flow,
2020
1. Information and Navigation College, Air Force Engineering University, Xi'an 710077, China;;
Bi-Layered Network Model Of Command Information System Based On Task Flow, Cui Qiong, Jianhua Li, Haodan Ran, Mingli Nan
Journal of System Simulation
Abstract: As the monolayer and static network model can not reflect the hiberarchy and task property of command information system, a bi-layered network model of command information system based on task flow is established. The dynamic operation mechanism and layered network structure are descripted on the basis of task、structure and function of the system. The bi-layered network consisting of communication network and function network is defined based on the task property and layered network theory. The simulation takes the joint air defense operation command information system as an example and the results demonstrate the effectiveness of the model. The proposed …
Multi-Objective Image Threshold Segmentation Based On Statistical Curve Difference Method,
2020
School of mechanical engineering, Hebei University of Technology, Tianjin 300130, China;
Multi-Objective Image Threshold Segmentation Based On Statistical Curve Difference Method, Yuanfei Zhu, Sixiang Zhang, Zhou Wei, Xiaochen Wang, Zhidong Li
Journal of System Simulation
Abstract: In order to accurately segment the multi-objective image whose objective area is too small, and the background gray value is similar to the objective, a threshold segmentation algorithm based on statistical curve difference method is proposed. The mountain model of multi-objective gray image is established and the gray image is normalized. The number of connected area is counted by threshold division. The statistical curve is plotted with the horizontal coordinate being the gray level with equal interval, and the vertical coordinate being the counting result. The threshold point is the point where the difference value of the statistical …
Survey On Parallel Collision Detection Algorithms,
2020
Digital Media and HCI Research Center, Hangzhou Normal University, Hangzhou 310012, China;
Survey On Parallel Collision Detection Algorithms, Fuchang Liu, Shuangjian Wang, Zhigeng Pan, Jinrong Wang
Journal of System Simulation
Abstract: The demand for real-time collision detection is increasing in different applications. Exploiting the parallel computing capability of multi-core CPUs and GPUs to accelerate the speed of collision detection algorithms has attracted abroad attention. This paper reviews the development history of collision detection algorithms and classified the existing algorithms from multiple perspectives. Moreover, we analyze the strengths and weaknesses of more than ten representative parallel collision detection algorithms based on multi-core CPUs and GPUs from the aspects of the scalability, memory consumption and workload balancing. Finally, the problem of present parallel collision detection research and potential direction of following research …
Urban Mobile Augmented Reality Method Based On Self Organization Of Multi-Modal Data,
2020
1. Advanced Computing and System Laboratory, Zhejiang University, Hangzhou, 310027, China;;
Urban Mobile Augmented Reality Method Based On Self Organization Of Multi-Modal Data, Wanxian Guan, Wanpeng Li, Ge Lin, Huagen Wan
Journal of System Simulation
Abstract: In recent years, urban mobile augmented reality has important application prospects. However, with the large-scale scenes in the cities, how to collect and reasonably manage and organize as well as efficiently use the big data sets has become an important issue for the performance of mobile augmented reality. To solve this problem, this paper proposed an urban mobile augmented reality method based on the free organization of multi-modal data, with the application scenario of urban streetscape enhancement. The proposed method takes the multi-modal data as the centric context and aims at how to acquire and process raw data effectively, …
Denoising Algorithm Based On Neighborhood Expansion Clustering,
2020
School of Information, Yunnan Normal University, Kunming 650500, China;
Denoising Algorithm Based On Neighborhood Expansion Clustering, Xinggang Li, Yaping Zhang, Yuwei Yang
Journal of System Simulation
Abstract: Aimed at the three dimensional point clouds model with outliers and noises which is reconstructed based on 2D images, a new denoising algorithm based on neighborhood expansion clustering is proposed. The search for other neighboring points of each data point is conducted by using the Euclidean distance between data points and the transitive property of the neighborhood location relation. All points are processed for cluster partition, which detects and filters the outliers in the point clouds model. The concept of neighborhood expansion clustering and the fast search algorithm based on dynamic grids division are discussed. It solves the …
Realistic Simulation Of Potted Monocot Plant Based On Ifs,
2020
Northwest A&F University, College of Information Engineering, Yangling 712100, China;
Realistic Simulation Of Potted Monocot Plant Based On Ifs, Fanxing Zhang, Feiya Lu, Meili Wang
Journal of System Simulation
Abstract: Potted monocot plants are one of the most indispensable plants for landscaping and environment. This paper establishes 3D geometric model of branches, twigs, branches and leaves of potted monocot plants with adjustable morphology parameters based on iterated function system. Specifically, considering the self-similarity and randomness of branch bifurcation structure, a corresponding pruning operation module is established. The visualization of the pruning of the branch morphology with higher degrees of freedom is implemented through the affine transformation matrix and geometric model, producing more realistic computer simulation results. This paper provides guidance for the study and market selection of potted plants.
Surface Reconstruction Of Point Cloud Based On Geometric Structure,
2020
China Simulation Federation
Surface Reconstruction Of Point Cloud Based On Geometric Structure, Zhenfa Yang, Wan Gang, Xuefeng Cao, Li Feng, Lixiang Xie
Journal of System Simulation
Abstract: To solve the problems that the existing noise in dense point cloud generated from sequential images dense matching affects the accuracy, and geometric structure such as flat exists in urban scenes, a surface reconstruction method of dense point cloud based on geometric structure is proposed in this paper. RANSAC algorithm is applied to extract planar structure. The original points were structured into planar points, crease points of two planes intersecting, corner points of three or more planes intersecting and clutter points. Then the structured point cloud is divided into tetrahedron by 3D Delaunay, improving the penalty term …
