Y
Yun Song
Researcher at Changsha University of Science and Technology
Publications - 28
Citations - 859
Yun Song is an academic researcher from Changsha University of Science and Technology. The author has contributed to research in topics: Compressed sensing & Encryption. The author has an hindex of 13, co-authored 25 publications receiving 561 citations.
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Journal ArticleDOI
Secure Communication Scheme Based on a New 5D Multistable Four-Wing Memristive Hyperchaotic System with Disturbance Inputs
Fei Yu,Zinan Zhang,Li Liu,Hui Shen,Yuanyuan Huang,Changqiong Shi,Shuo Cai,Yun Song,Sichun Du,Quan Xu +9 more
TL;DR: A 5D multistable four-wing memristive hyperchaotic system (FWMHS) with linear equilibrium points with dynamic characteristics of equilibrium point, perpetual point, bifurcation diagram, Lyapunov exponential spectrum, phase portraits, and spectral entropy is proposed.
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Analysis and FPGA Realization of a Novel 5D Hyperchaotic Four-Wing Memristive System, Active Control Synchronization, and Secure Communication Application
Fei Yu,Li Liu,Binyong He,Yuanyuan Huang,Changqiong Shi,Shuo Cai,Yun Song,Sichun Du,Qiuzhen Wan +8 more
TL;DR: This research demonstrates that the hardware-based design of the 5D HFWMS can be applied to various chaos-based embedded system applications including random number generation, cryptography, and secure communication.
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A New 4D Four-Wing Memristive Hyperchaotic System: Dynamical Analysis, Electronic Circuit Design, Shape Synchronization and Secure Communication
Fei Yu,Fei Yu,Shuai Qian,Xi Chen,Yuanyuan Huang,Li Liu,Changqiong Shi,Shuo Cai,Yun Song,Chunhua Wang +9 more
TL;DR: A simple four-wing chaotic attractor is first proposed by replacing the constant parameters of the Chen system with a periodic piecewise function, and a new 4D four-Wing memristive function is proposed.
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A Decision Function Based Smart Charging and Discharging Strategy for Electric Vehicle in Smart Grid
TL;DR: An Electric Vehicle Charging and Discharging Strategy which is based on a Charging Decision Function (CDF) as well as a Discharging decision Function (DDF) performs well in terms of reducing the charging demand fluctuations and improving thecharging demand balance among charging stations.
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A Survey on True Random Number Generators Based on Chaos
TL;DR: This survey paper intends to provide a systematic review of true random number generators (TRNGs) based on chaos and points out a set of promising future works to help researchers decide which are the ones that best suit their needs and goals.