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Attitude Control Of Vtol Hexrotor Aircraft Based On Lyapunov Theory, Xuemin Yuan, Kecai Cao 2020 1. Nanjing University of Posts and Telecommunications, Nanjing 210023, China; ;

Attitude Control Of Vtol Hexrotor Aircraft Based On Lyapunov Theory, Xuemin Yuan, Kecai Cao

Journal of System Simulation

Abstract: The considered hexrotor is a symmetric VTOL-UAV with six rigid mono-directional propellers, and the interval between each propeller is 60°. In order to overcome the inherent geometric singularity of Euler angle description, quaternion representation was used to model. The effect of gyroscopic torques and reactive torques was taken into account when simplifying our model. An approach for hexrotor was proposed in which two nearly equivalent control laws were used to obtain asymptotic stability of attitude angles and attitude angular velocity of the hexrotor UAV. Simulation results emphasize the effectiveness of the proposed control scheme.


Improved Anonymous Communication Protocol Based On Crowds, Gaofeng He, Chen Lu, Zhang Tao, Yuanyuan Ma 2020 China Electric Power Research Institute, Nanjing 210009, China;

Improved Anonymous Communication Protocol Based On Crowds, Gaofeng He, Chen Lu, Zhang Tao, Yuanyuan Ma

Journal of System Simulation

Abstract: The Crowds system is effective and practical, however there are two deficiencies: intermediate nodes can know receivers’ identities and there is no upper bound for the route length. To address the deficiencies mentioned above, an improved anonymous communication protocol is proposed. The new protocol is based on Crowds, while it is added with more designs of Pseudo receiver and Max-Min route length. Pseudo receivers’ addresses substitutes as receivers’ in packets to prevent intermediate nodes getting receivers’ identities; Users can decide max and min route length to limit the route length and meet the anonymity demand. By comparing the …


Pinning Control For Synchronization Of Hr Biological Neural Networks:Linear Active Disturbance Rejection Approach, Wei Wei, Wen Jiao 2020 School of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, China;

Pinning Control For Synchronization Of Hr Biological Neural Networks:Linear Active Disturbance Rejection Approach, Wei Wei, Wen Jiao

Journal of System Simulation

Abstract: Synchronization of a complex network whose nodes are Hindmarsh-Rose biological neurons was considered. Coupling strengths of the whole network were always taken as the tuning variables. However, coupling strengths may not be changeable. In addition, synchronization was affected by different disturbances. In view of above factors, pinning control was utilized and linear active disturbance rejection control (LADRC) was designed. By this approach, synchronization was achieved in according to synchronization errors of the controlled nodes and the couplings among nodes. In the simulations, coupling strength was fixed at a relative small value, and no external disturbance case …


Simulation Analysis Of Load Characteristic Of Thin Seam Shearer Drum, Lijuan Zhao, Tian Zhen, Xunan Liu, Xie Bo 2020 1. College of Mechanical Engineering, Liaoning Technical University, Fuxin 123000, China; ;

Simulation Analysis Of Load Characteristic Of Thin Seam Shearer Drum, Lijuan Zhao, Tian Zhen, Xunan Liu, Xie Bo

Journal of System Simulation

Abstract: In order to analysis the load characteristics of thin seam shearer drum under complex geological conditions, the determination conditions of tooth working state were proposed, the drum load calculation scheme was designed according to the condition of coal seam and the working state of shearer. A thin seam shearer drum as the object of research, the load spectrums of drum under five typical working conditions were calculated, the law of cutting resistance moment and cutting power with different drum revolution speed and haulage speed was analyzed. The results show that: the load fluctuation from cutting hard inclusions is …


Properties Of Terahertz Wave Propagation In Inhomogeneous Plasma Sheath, Jiang Jin, Changxing Chen, Wang Cheng, Ting Chen, Tianxiang Zhou, Yunfei Ling 2020 1. School of Science, Air Force Engineering University, Xi’an 710051, China; ;

Properties Of Terahertz Wave Propagation In Inhomogeneous Plasma Sheath, Jiang Jin, Changxing Chen, Wang Cheng, Ting Chen, Tianxiang Zhou, Yunfei Ling

Journal of System Simulation

Abstract: The communication blackout usually happens when the hypersonic vehicles voyage in the near space. According to the data provided by radio attenuation measurement C (RAM C) voyage experiment, two models of inhomogeneous plasma sheath were established after dividing the near space into two spatial layers to build two mathematical models. The principle of interaction between plasma and terahertz wave was analyzed through numerical calculation, getting the properties of terahertz wave propagation in plasma sheath. The simulation shows that the terahertz wave frequency band selected as communication frequency band used in near space can solve the problem of communication blackout. …


Real-Time Counting Of Vehicles Stopped At A Traffic Light Using Vehicular Network Technology, Manuel Contreras, Eric Gamess 2020 Central University of Venezuela

Real-Time Counting Of Vehicles Stopped At A Traffic Light Using Vehicular Network Technology, Manuel Contreras, Eric Gamess

Research, Publications & Creative Work

Vehicular Adhoc NETworks (VANETs) is a new and emerging technology for wireless communications that has attracted considerable attention in the last years from the academic, scientific, industrial and governmental communities, due to the improvements and the new features that it brings to the Intelligent Transportation Systems (ITSs). In this paper, we present an algorithm that uses VANET technology to determine the total number of vehicles that are stopped at a traffic light at an intersection. To facilitate an efficient counting, we divide the road into fixed-size road regions and through a leader election mechanism, we designate one vehicle in each …


Data, Stats, Go: Navigating The Intersections Of Cataloging, E-Resource, And Web Analytics Reporting, Rachel S. Evans, Wendy Moore, Jessica Pasquale, Andre Davison 2020 University of Georgia School of Law

Data, Stats, Go: Navigating The Intersections Of Cataloging, E-Resource, And Web Analytics Reporting, Rachel S. Evans, Wendy Moore, Jessica Pasquale, Andre Davison

Presentations

Do you trudge through gathering statistics at fiscal or calendar year-end? Do you wonder why you track certain things, thinking many seem outdated or irrelevant? Many places seem to keep counting certain statistics because "that's what they've always done." For e-resources, how do you integrate those with physical counts and reconcile the variations (updated e-resources versus re-cataloged physical items)? What about repository downloads and other web traffic? The quantity of stats that libraries track is staggering and keeps growing. This program will encourage attendees to stop and evaluate what and why they're gathering data and help identify possible alternatives to …


Modeling And Simulation On Influence Of Complex Network Nodes Based On Data Field In, Chenxi Shao, Xiaoqi Chen, Xingfu Wang, Fuyou Miao 2020 School of Computer Science and Technology of University of Science and Technology of China, Hefei 230022, China;

Modeling And Simulation On Influence Of Complex Network Nodes Based On Data Field In, Chenxi Shao, Xiaoqi Chen, Xingfu Wang, Fuyou Miao

Journal of System Simulation

Abstract: Research on the influence of complex network nodes is an important part of data mining. Mining the influential nodes in complex networks not only has important academic significance, but also helps to suppress the outbreak of epidemics, control the spread of rumors, and promote e-commercial products and so on. By selecting the Mixed Degree Decomposition (MDD) value of each node as its mass, the complex network is abstracted into a data field, the influential nodes are identified by combining the data field model, and some well-known centralities are compares with. The classical Susceptible-Infected-Recovered (SIR) epidemic model is …


Foot Measurement Based On Deep Alignment Network, Shi Min, Hanqin Yao, Chunpeng Li, Liangchen Chen 2020 1. School of Control and Computer Engineering, North China Electric Power University, Beijing 102206,China;;

Foot Measurement Based On Deep Alignment Network, Shi Min, Hanqin Yao, Chunpeng Li, Liangchen Chen

Journal of System Simulation

Abstract: Foot measurement plays an important role in many areas. Limited by equipment and algorithms, three-dimensional foot measurement cannot make a convenient and quick foot measurement. A method is proposed by combining the image measurement with the deep neural network. Based on the physiological structure analysis of foot, key points are extracted and the measurement parameters are defined. During the key point detection of foot, the activation function and loss function of DAN (Deep Alignment Network) model is optimized, and a data acquisition method is defined based on the handheld camera. Foot key points are detected, and main parameters are …


Mobile-Phone-Oriented Stereoscopic Display And Interaction Framework For Cloud-Based Virtual Reality 3d Scenes, Jiazhe Liu, Chunyi Chen, Xiaojuan Hu, Weidong Liang, Qiwei Xing, Huamin Yang 2020 School of Computer Science and Technology, Changchun University of Science and Technology, Changchun 130022, China;

Mobile-Phone-Oriented Stereoscopic Display And Interaction Framework For Cloud-Based Virtual Reality 3d Scenes, Jiazhe Liu, Chunyi Chen, Xiaojuan Hu, Weidong Liang, Qiwei Xing, Huamin Yang

Journal of System Simulation

Abstract: A VR application framework based on cloud computing is proposed to overcome the difficulty of interactively generating high quality 3D scene images on mobile phones. We combine the cloud-based rendering and the VR technology. Our framework uses a mobile browser as a client, transmits the image data by the video block stream, processes the interactive data by the anti-jitter algorithm, and has accomplished the web-based lightweight rendering. The framework reduces the cost of data visualization on mobile phone and avoids the need of installing a plug-in package. The experimental results show that our display rate could be improved to …


Maintenance Operation Control Of Virtual Human In Collaborative Virtual Maintenance, Liang Feng, Zhili Zhang, Xiangyang Li 2020 Rocket Force University of Engineering, Xi'an 710025, China;

Maintenance Operation Control Of Virtual Human In Collaborative Virtual Maintenance, Liang Feng, Zhili Zhang, Xiangyang Li

Journal of System Simulation

Abstract: Aiming at the operators being not able to move freely in the limited capture area of optical motion capture devices, the maintenance operation control of virtual human in Collaborative Virtual Maintenance is studied. The lower limb action of operators is captured by the optical motion capture devices, and the wide range motion of the virtual human is controlled according to the real-time recognition results. In order to control the hand motion process of the virtual human in the maintenance operation, the hand interaction of the virtual human is analyzed and an intelligent assistant method for the maintenance operations based …


Simulation Research On Cooperative Control Of Multi Intelligent Ground Platform Based On Agent Theory, Yunrong Zhang, Zhili Zhang, XiangYang Li, Hongguang Wang, Wenpeng Mi, Xiangtong Kong, Pengpeng Liu 2020 1. Rocket Sergeant School, Qingzhou 262500, China;;

Simulation Research On Cooperative Control Of Multi Intelligent Ground Platform Based On Agent Theory, Yunrong Zhang, Zhili Zhang, Xiangyang Li, Hongguang Wang, Wenpeng Mi, Xiangtong Kong, Pengpeng Liu

Journal of System Simulation

Abstract: In order to improve the cooperative control ability of the multi Intelligent ground platform and to adapt to the trend of intelligent war in the new situation, a multi intelligent ground platform cooperative Control simulation system based on jade and world wind Java is constructed. Based on multi-agent theory, the simulation model of intelligent ground platform is build. Based on JADE, the cooperative Control simulation platform is constructed. The task allocation mechanism is optimized by the particle swarm optimization algorithm. The simulation results show that the cooperative Control simulation platform has good robustness and flexibility. The optimized task allocation …


A Survey On Visual Slam Based On Deep Learning, Ruijun Liu, Xiangshang Wang, Zhang Chen, Bohua Zhang 2020 Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, China;

A Survey On Visual Slam Based On Deep Learning, Ruijun Liu, Xiangshang Wang, Zhang Chen, Bohua Zhang

Journal of System Simulation

Abstract: Following the development of computer vision and robotics, visual Simultaneous Localization and Mapping becomes a research focus in the field of unmanned systems. The powerful advantages of deep learning in the image processing offer a huge opportunity to the wide combination of the two fields. The outstanding research achievements of deep learning combined with visual odometry, loop closure detection and semantic Simultaneous Localization and Mapping are summarized. A comparison between the traditional algorithm and method based on deep learning is carried out. The development direction of visual Simultaneous Localization and Mapping based on deep learning is …


Visual Tracking And Localization Based On Confidence Evaluation Of Adjacent Targets, Youquan Liu, Pei Xue, Li Wan, Zhengxiong Liu 2020 1. School of information Engineering, Chang'an University, Xi'an 710064, China;;

Visual Tracking And Localization Based On Confidence Evaluation Of Adjacent Targets, Youquan Liu, Pei Xue, Li Wan, Zhengxiong Liu

Journal of System Simulation

Abstract: In visual target tracking and localization, the target could not be located due to the lack of features or the severe occlusion. Aiming at this, an algorithm based on confidence evaluation of neighboring targets is designed. In the tracking process, by detecting and extracting the marker features of neighboring targets, and combining the Hamming distance of each feature marker and the normalized result with respect to other markers as well as the probability of occurrence of each marker, the final confidence of each marker is obtained. The marker with the maximum confidence is to used determine the target …


Simulation Of Dongba Art Style Painting, Wenhua Qian, Xu Dan, Xu Jin, He Lei, Zhang Bo 2020 1. Department of Computer Science and Engineering, Yunnan University, Kunming 650504, China;;

Simulation Of Dongba Art Style Painting, Wenhua Qian, Xu Dan, Xu Jin, He Lei, Zhang Bo

Journal of System Simulation

Abstract: An interactive technique that can generate the Dongba art paintings from 2D images is proposed. A Dongba painting line drawing system is designed and developed which adopts the interactive selection method to obtain the smooth and continuous line drawings. To produce the foreground image of the Dongba styles, a multi-frequency noise integral convolution algorithm is utilized to simulate the block texture color of the Dongba paintings. Texture synthesis algorithm is used to generate the image of large sizes from samples to simulate the background image. Based on the layer-mapping technique and local color transmission methods, the final artistic style …


Mrmark: A Machine Performance Evaluation Method For Three-Dimensional Video Fusion, Yifei Sun, Liangliang Cai, Zhou Yi, Zhou Zhong 2020 1. State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing 100191, China;;2. Beijing Bigview Technology Co., Ltd, Beijing 100088, China;

Mrmark: A Machine Performance Evaluation Method For Three-Dimensional Video Fusion, Yifei Sun, Liangliang Cai, Zhou Yi, Zhou Zhong

Journal of System Simulation

Abstract: The three-dimensional video fusion system needs the calculation of video and graphics, and requires high machine performance. The existing commercial evaluation tools lack the corresponding considerations, which may cause the inconsistency of a machine's performance from the score. A machine performance evaluation method for three-dimensional video fusion is proposed and an evaluation tool MRMark is implemented. Several sets of standard 3D test scenes are designed according to the characteristics of the video fusion system, the statistics on the frame rate, the number of video channels played and the other parameters during the test are collected to calculate the …


Research On Highway Bim Perception And Engineering Evaluation Based On Virtual Reality, Zhaohui Wu, Zhiqiang Fu, Wang Liang, Dou Fei 2020 China Academy of Transportation Sciences, Beijing 100029, China;

Research On Highway Bim Perception And Engineering Evaluation Based On Virtual Reality, Zhaohui Wu, Zhiqiang Fu, Wang Liang, Dou Fei

Journal of System Simulation

Abstract: Virtual reality technology is a new way for the highway BIM to upgrade from 2D to 3D. Based on the analysis of the characteristics of highway engineering and the travel needs of traffic participants, five methods are proposed to perceive highway BIM and evaluate the engineering design results of different road users, including virtual driving, virtual flight, virtual riding, virtual walking and augmented reality. These methods provide technical and tool support for the people-oriented road BIM perception, engineering evaluation, collaborative work, and design optimization. The experiment tests show that virtual reality connects the BIM models with human perception, …


Icp Optimized B-Spline Non-Rigid Registration For 4d-Ct Images, Wenjie Tang, Ruotong Li, Xuesong Deng, Weixin Si, Wang Qiong 2020 1. Wu Han University of Technology, Wuhan 430070, China;;2. Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences, Shenzhen 518500, China;;

Icp Optimized B-Spline Non-Rigid Registration For 4d-Ct Images, Wenjie Tang, Ruotong Li, Xuesong Deng, Weixin Si, Wang Qiong

Journal of System Simulation

Abstract: In order to improve the accuracy and speed of registration between two groups of 4D-CT images under different physiological activities, based on FFD model of multi-resolution B-spline, a registration algorithm using ICP to optimize the model is proposed. The ICP algorithm is added before the traditional b-spline to realize the point cloud registration between two groups of 4D-CT images: the appropriate model is generated from the two segmented groups of 4D-CT images, then the two groups of point clouds in the model are registered with ICP. The improvement rates of similarity measurement at level 1, level 2 and …


Simulation Reach On Multi-Generation Digital Product Diffusion Based On Agent, Qiao Jian, Jingwen Xia, Wang Pan 2020 School of Management, Northwestern Polytechnical University, Xi'an 710072, China;

Simulation Reach On Multi-Generation Digital Product Diffusion Based On Agent, Qiao Jian, Jingwen Xia, Wang Pan

Journal of System Simulation

Abstract: Digital products have the characteristics of multi-generation coexistence and diffusion, and the multi-generation product diffusion model is an important tool to study it. The existing models ignores some factors of the product, consumer and environment that significantly affect the diffusion process. A multi-generation digital product diffusion model is proposed by using the ABMS, fuzzy inference, complex network and utility theories. The experiment results show that the model can playback the diffusion process of iPhones, which indicates that the model has a good simulation/prediction capability when the historical data is sufficient, and can be a marketing analysis and decision-making …


Learning Expression Recognition Based On Image Sequence, Suqin Wang, Zhang Feng, Yudou Gao, Shi Min 2020 1. School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China;;

Learning Expression Recognition Based On Image Sequence, Suqin Wang, Zhang Feng, Yudou Gao, Shi Min

Journal of System Simulation

Abstract: By recognizing the facial expressions, the emotional state of learner can be judged and their learning effect can be analyzed. Due to the persistence and timing of facial expressions, the sequence of facial images is adopted as the object of facial expression recognition. The Long Short Term Memory Network (LSTM) and VGGNet are combined into a VGGNET-LSTM model. On this basis, facial expression recognition is carried out, which significantly improves the accuracy of recognition. Based on the transfer learning method, VGGNet is transferred to the learning expression data set after being pre-trained through the basic expression data set CK+ …


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