期刊：
Advances in Intelligent Systems and Computing,2021年1143:135-143 ISSN：2194-5357
通讯作者：
Chen, Z.
作者机构：
College of Computer Science and Technology, Hengyang Normal University, Hengyang, 421002, China;Hunan Provincial Key Laboratory of Intelligent Information Processing and Application, Hengyang, 421002, China;[Chen J.] Department of Computer Engineering, Ajou University, Suwon, 16499, South Korea;[Tian X.; Chen Z.; Lei T.] College of Computer Science and Technology, Hengyang Normal University, Hengyang, 421002, China, Hunan Provincial Key Laboratory of Intelligent Information Processing and Application, Hengyang, 421002, China
通讯机构：
[Chen, Z.] C;College of Computer Science and Technology, China
会议名称：
9th International Conference on Computer Engineering and Networks, CENet2019
会议时间：
18 October 2019 through 20 October 2019
会议论文集名称：
Proceedings of the 9th International Conference on Computer Engineering and Networks
摘要：
Traditional image object classification and detection algorithms and strategies cannot meet the problem of video image acquisition and processing. Deep learning deliberately simulates the hierarchical structure of human brain, and establishes the mapping from low-level signals to high-level semantics, so as to achieve hierarchical feature representation of data. Deep learning technology has powerful visual information processing ability, which has become the forefront technology and domestic and international research hotspots to deal with this challenge. In order to solve the problem of target space location in video surveillance system, time-consuming and other problems, in this paper, we propose the algorithm based on RNN-LSTM deep learning. At the same time, according to the principle of OpenGL perspective imaging and photogrammetry consistency, we use 3D scene simulation imaging technology, relying on the corresponding relationship between video images and simulation images we locate the target object. In the 3D virtual scene, we set up the virtual camera to simulate the imaging processing of the actual camera, and the pixel coordinates in the video image of the surveillance target are substituted into the simulation image, next, the spatial coordinates of the target are inverted by the inverse process of the virtual imaging. The experimental results show that the detection of target objects has high accuracy, which has an important reference value for outdoor target localization through video surveillance images.
期刊：
Journal of Advanced Oxidation Technologies,2018年21(2) ISSN：1203-8407
通讯作者：
Chen, Z.
作者机构：
State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha, 410082, China;Collegee of Computer Science and Technology, Hengyang Normal University, Hengyang, 421002, China;Key Laboratory of Advanced Design and Simulation Techniques for Special Equipment, Ministry of Education, Hunan University, Changsha, 410082, China;Department of Physics and Electronic Information Science, Hengyang Normal University, Hengyang, 421002, China;College of information technology, Ajou University, Suwon, 16499, South Korea
通讯机构：
State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha, China
作者机构：
[Wen, Guilin; Zhou, Huaan; Chen, Zhong] Hunan Univ, State Key Lab Adv Design & Mfg Vehicle Body, Changsha 410082, Hunan, Peoples R China.;[Chen, Zhong] Hengyang Normal Univ, Coll Comp Sci & Technol, Hengyang 421002, Peoples R China.;[Wen, Guilin; Zhou, Huaan; Chen, Zhong] Hunan Univ, Key Lab Adv Design & Simulat Tech Special Equipme, Minist Educ, Changsha 410082, Hunan, Peoples R China.;[Chen, Junyao] Hengyang Normal Univ, Dept Phys & Elect Informat Sci, Hengyang 421002, Peoples R China.;[Chen, Junyao] Ajou Univ, Coll Informat Technol, Suwon 16499, South Korea.
通讯机构：
[Chen, Zhong] H;Hunan Univ, State Key Lab Adv Design & Mfg Vehicle Body, Changsha 410082, Hunan, Peoples R China.
关键词：
Arctangent function series;Multi-scroll attractor;Rucklidge system
摘要：
A new method for generating M × N-grid double-scroll Rucklidge chaotic attractors is presented. By designing arctangent function series to construct a nonlinear function, which replace the state variables x, y of the Rucklidge system, a new M × N-grid double-scroll chaotic system is created. The formation mechanism of this M × N-grid double-scroll chaotic model is further investigated. Moreover, some basic properties are theoretically analyzed and numerically simulated, including equilibria and their stability, Lyapunov exponents and bifurcation diagram. This system can be widely utilized in secure communication and data encryption.
摘要：
A chaotic model for generating multi-directional multi-scroll attractors via hyperbolic tangent function series is proposed in this paper. The dynamical mechanisms of this chaotic model are further investigated, including M-scroll, MxN-grid scroll, MxNxL-grid scroll chaotic attractors. Moreover, the dynamical behaviors of this system are theoretically analyzed and numerically simulated, such as equilibria and their stability,.Lyapunov exponents and bifurcation diagrams. This system can be widely used in data encryption and secure communication. (C) 2016 Elsevier GmbH. All rights reserved.
作者机构：
[欧阳陈华; 陈中; 梁小满] Department of Computation, Hengyang Normal University, Hengyang Hunan 421008, China;[张大方; 王雷] School of Software, Hunan University, Changsha 410082, China;[邹赛] Department of Computation, Hengyang Normal University, Hengyang Hunan 421008, China, School of Software, Hunan University, Changsha 410082, China
通讯机构：
[Zhang, D.-F.] S;School of Software, Hunan University, China
