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  1.  5
    Pseudorandom Number Generator Based on Three Kinds of Four-Wing Memristive Hyperchaotic System and Its Application in Image Encryption.Xi Chen, Shuai Qian, Fei Yu, Zinan Zhang, Hui Shen, Yuanyuan Huang, Shuo Cai, Zelin Deng, Yi Li & Sichun Du - 2020 - Complexity 2020:1-17.
    In this paper, we propose a method to design the pseudorandom number generator using three kinds of four-wing memristive hyperchaotic systems with different dimensions as multientropy sources. The principle of this method is to obtain pseudorandom numbers with good randomness by coupling XOR operation on the three kinds of FWMHSs with different dimensions. In order to prove its potential application in secure communication, the security of PRNG based on this scheme is analyzed from the perspective of cryptography. In addition, PRNG (...)
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  2.  2
    Dynamic Analysis and Circuit Realization of a Novel No-Equilibrium 5D Memristive Hyperchaotic System with Hidden Extreme Multistability.Qiuzhen Wan, Zhaoteng Zhou, Wenkui Ji, Chunhua Wang & Fei Yu - 2020 - Complexity 2020:1-16.
    In this paper, a novel no-equilibrium 5D memristive hyperchaotic system is proposed, which is achieved by introducing an ideal flux-controlled memristor model and two constant terms into an improved 4D self-excited hyperchaotic system. The system parameters-dependent and memristor initial conditions-dependent dynamical characteristics of the proposed memristive hyperchaotic system are investigated in terms of phase portrait, Lyapunov exponent spectrum, bifurcation diagram, Poincaré map, and time series. Then, the hidden dynamic attractors such as periodic, quasiperiodic, chaotic, and hyperchaotic attractors are found under (...)
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  3.  3
    Chaos-Based Engineering Applications with a 6D Memristive Multistable Hyperchaotic System and a 2D SF-SIMM Hyperchaotic Map. [REVIEW]Fei Yu, Shuai Qian, Xi Chen, Yuanyuan Huang, Shuo Cai, Jie Jin & Sichun Du - 2021 - Complexity 2021:1-21.
    In recent years, the research of chaos theory has developed from simple cognition and analysis to practical engineering application. In particular, hyperchaotic systems with more complex and changeable chaotic characteristics are more sensitive and unpredictable, so they are widely used in more fields. In this paper, two important engineering applications based on hyperchaos pseudorandom number generator and image encryption are studied. Firstly, the coupling 6D memristive hyperchaotic system and a 2D SF-SIMM discrete hyperchaotic mapping are used as the double entropy (...)
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  4. Dynamic Analysis and FPGA Implementation of New Chaotic Neural Network and Optimization of Traveling Salesman Problem.Li Cui, Chaoyang Chen, Jie Jin & Fei Yu - 2021 - Complexity 2021:1-10.
    A neural network is a model of the brain’s cognitive process, with a highly interconnected multiprocessor architecture. The neural network has incredible potential, in the view of these artificial neural networks inherently having good learning capabilities and the ability to learn different input features. Based on this, this paper proposes a new chaotic neuron model and a new chaotic neural network model. It includes a linear matrix, a sine function, and a chaotic neural network composed of three chaotic neurons. One (...)
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  5. Basin of Attraction Analysis of New Memristor-Based Fractional-Order Chaotic System.Long Ding, Li Cui, Fei Yu & Jie Jin - 2021 - Complexity 2021:1-9.
    Memristor is the fourth basic electronic element discovered in addition to resistor, capacitor, and inductor. It is a nonlinear gadget with memory features which can be used for realizing chaotic, memory, neural network, and other similar circuits and systems. In this paper, a novel memristor-based fractional-order chaotic system is presented, and this chaotic system is taken as an example to analyze its dynamic characteristics. First, we used Adomian algorithm to solve the proposed fractional-order chaotic system and yield a chaotic phase (...)
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  6.  20
    Effects of Training on Lateralization for Simulations of Cochlear Implants and Single-Sided Deafness.Fei Yu, Hai Li, Xiaoqing Zhou, XiaoLin Tang, John J. Galvin Iii, Qian-Jie Fu & Wei Yuan - 2018 - Frontiers in Human Neuroscience 12.
  7.  1
    Networking of Smart Meters Based on Time-Varying Feature of Low-Voltage Power Line Channel in Microgrid.Ya-Xin Huang, Xiao-Di Zhang, Fei Yu, Yong-Qing Wei & Hai-Long Zhang - 2021 - Complexity 2021:1-16.
    In order to manage the electricity consumption information of microgrid users, the reliability of electricity information collection is studied in this paper. The normal communication between the acquisition terminal and the smart meter is a key factor affecting the accurate collection of power information; it is the basis for ensuring the operation of the microgrid as well. In order to improve the reliability of the low power line communication between the acquisition terminal and smart meters, this article first uses the (...)
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