Based on current research on applications of chaotic neuron network for information processing, the stability and convergence of chaotic neuron network are proved from the viewpoint of energy function. Moreover, a new...Based on current research on applications of chaotic neuron network for information processing, the stability and convergence of chaotic neuron network are proved from the viewpoint of energy function. Moreover, a new auto-associative matrix is devised for artificial neural network composed of chaotic neurons, thus, an improved chaotic neuron network for associative memory is built up. Finally, the associative recalling process of the network is analyzed in detail and explanations of improvement are given.展开更多
In this paper, we propose a novel block cryptographic scheme based on a spatiotemporal chaotic system and a chaotic neural network （CNN）. The employed CNN comprises a 4-neuron layer called a chaotic neuron layer （...In this paper, we propose a novel block cryptographic scheme based on a spatiotemporal chaotic system and a chaotic neural network （CNN）. The employed CNN comprises a 4-neuron layer called a chaotic neuron layer （CNL）, where the spatiotemporal chaotic system participates in generating its weight matrix and other parameters. The spatiotemporal chaotic system used in our scheme is the typical coupled map lattice （CML）, which can be easily implemented in parallel by hard- ware. A 160-bit-long binary sequence is used to generate the initial conditions of the CML. The decryption process is symmetric relative to the encryption process. Theoretical analysis and experimental results prove that the block cryptosys- tem is secure and practical, and suitable for image encryption.展开更多
在船舶制造环境中,无线信号容易受金属墙壁屏蔽和多路径效应影响,导致船舱内的无线传感器网络覆盖率下降,影响节点对环境信息的有效感知.为优化传感器节点部署以最大化网络覆盖率,本论文针对船舶制造环境中的无线传感器网络信号覆盖问题...在船舶制造环境中,无线信号容易受金属墙壁屏蔽和多路径效应影响,导致船舱内的无线传感器网络覆盖率下降,影响节点对环境信息的有效感知.为优化传感器节点部署以最大化网络覆盖率,本论文针对船舶制造环境中的无线传感器网络信号覆盖问题,提出一种基于虚拟力鲸鱼融合算法的优化方法.首先,建立了考虑金属墙壁障碍的物节点感知模型,以适应船舱环境的复杂性.其次,在鲸鱼群智能优化算法基础上,融合了虚拟力算法,并引入无限折叠迭代混沌映射(Iterative Map with Infinite Collapses,ICMIC)以提高种群多样性,增强算法的全局搜索能力和局部寻优能力,从而有效解决覆盖优化问题.仿真实验结果表明,本文所提算法在船舱复杂环境下能够显著提高最优覆盖率,且算法收敛速度优于对比算法.本文为解决复杂船舶环境中的无线传感器网络覆盖问题提供了一种创新性方法,为相关领域的研究和应用提供了参考.展开更多
A novel scheme to construct a hash function based on a weighted complex dynamical network （WCDN） generated from an original message is proposed in this paper. First, the original message is divided into blocks. Then...A novel scheme to construct a hash function based on a weighted complex dynamical network （WCDN） generated from an original message is proposed in this paper. First, the original message is divided into blocks. Then, each block is divided into components, and the nodes and weighted edges are well defined from these components and their relations. Namely, the WCDN closely related to the original message is established. Furthermore, the node dynamics of the WCDN are chosen as a chaotic map. After chaotic iterations, quantization and exclusive-or operations, the fixed-length hash value is obtained. This scheme has the property that any tiny change in message can be diffused rapidly through the WCDN, leading to very different hash values. Analysis and simulation show that the scheme possesses good statistical properties, excellent confusion and diffusion, strong collision resistance and high efficiency.展开更多
基金National Natural Science Foundation of P.R.China(No. 69735101)
文摘Based on current research on applications of chaotic neuron network for information processing, the stability and convergence of chaotic neuron network are proved from the viewpoint of energy function. Moreover, a new auto-associative matrix is devised for artificial neural network composed of chaotic neurons, thus, an improved chaotic neuron network for associative memory is built up. Finally, the associative recalling process of the network is analyzed in detail and explanations of improvement are given.
基金Project supported by the National Natural Science Foundation of China (Grant Nos. 61173183, 60973152, and 60573172)the Doctoral Program Foundation of Institution of Higher Education of China (Grant No. 20070141014)+2 种基金the Program for Excellent Talents in Universities of Liaoning Province, China (Grant No. LR2012003)the Natural Science Foundation of Liaoning Province, China (Grant No. 20082165)the Fundamental Research Funds for the Central Universities of China (Grant No. DUT12JB06)
文摘In this paper, we propose a novel block cryptographic scheme based on a spatiotemporal chaotic system and a chaotic neural network （CNN）. The employed CNN comprises a 4-neuron layer called a chaotic neuron layer （CNL）, where the spatiotemporal chaotic system participates in generating its weight matrix and other parameters. The spatiotemporal chaotic system used in our scheme is the typical coupled map lattice （CML）, which can be easily implemented in parallel by hard- ware. A 160-bit-long binary sequence is used to generate the initial conditions of the CML. The decryption process is symmetric relative to the encryption process. Theoretical analysis and experimental results prove that the block cryptosys- tem is secure and practical, and suitable for image encryption.
文摘在船舶制造环境中,无线信号容易受金属墙壁屏蔽和多路径效应影响,导致船舱内的无线传感器网络覆盖率下降,影响节点对环境信息的有效感知.为优化传感器节点部署以最大化网络覆盖率,本论文针对船舶制造环境中的无线传感器网络信号覆盖问题,提出一种基于虚拟力鲸鱼融合算法的优化方法.首先,建立了考虑金属墙壁障碍的物节点感知模型,以适应船舱环境的复杂性.其次,在鲸鱼群智能优化算法基础上,融合了虚拟力算法,并引入无限折叠迭代混沌映射(Iterative Map with Infinite Collapses,ICMIC)以提高种群多样性,增强算法的全局搜索能力和局部寻优能力,从而有效解决覆盖优化问题.仿真实验结果表明,本文所提算法在船舱复杂环境下能够显著提高最优覆盖率,且算法收敛速度优于对比算法.本文为解决复杂船舶环境中的无线传感器网络覆盖问题提供了一种创新性方法,为相关领域的研究和应用提供了参考.
基金Project supported by the Natural Science Foundation of Jiangsu Province, China (Grant No. BK2010526)the Specialized Research Fund for the Doctoral Program of Higher Education of China (Grant No. 20103223110003)The Ministry of Education Research in the Humanities and Social Sciences Planning Fund, China (Grant No. 12YJAZH120)
文摘A novel scheme to construct a hash function based on a weighted complex dynamical network （WCDN） generated from an original message is proposed in this paper. First, the original message is divided into blocks. Then, each block is divided into components, and the nodes and weighted edges are well defined from these components and their relations. Namely, the WCDN closely related to the original message is established. Furthermore, the node dynamics of the WCDN are chosen as a chaotic map. After chaotic iterations, quantization and exclusive-or operations, the fixed-length hash value is obtained. This scheme has the property that any tiny change in message can be diffused rapidly through the WCDN, leading to very different hash values. Analysis and simulation show that the scheme possesses good statistical properties, excellent confusion and diffusion, strong collision resistance and high efficiency.
