A Cryptographic Scheme Based on Spatiotemporal Chaos of Coupled Map Lattices

我们基于联合地图格子(电流型逻辑) 的空间与时间的混乱建议一个密码的计划，它基于一次性的垫。秘密成员系统的结构决定在解密的进步在在电流型逻辑探索空间与时间的混乱的动态行为暗示进步。电流型逻辑的起始的条件的部分被彻底的搜索用作秘密钥匙的一把秘密钥匙，和恢复由于到在空间与时间的混乱的起始的条件的敏感是不可能的系统。特殊计划的软件实现是容易的。

Influence of Selective Edge Removal and Refractory Period in a Self-Organized Critical Neuron Model

A simple model for a set of integrate-and-fire neurons based on the weighted network is introduced.By considering the neurobiological phenomenon in brain development and the difference of the synaptic strength,weconstruct weighted networks develop with link additions and followed by selective edge removal.The network exhibitsthe small-world and scale-free properties with high network effficiency.The model displays an avalanche activity ona power-law distribution.We investigate the effect of selective edge removal and the neuron refractory period on theself-organized criticality of the system.

A Self-synchronizing Stream Encryption Scheme Based on One-Dimensional Coupled Map Lattices

我们在场一个自我同步的溪流加密计划基于处于起始的条件与空间与时间的混乱，并且大复杂性和小骚乱的散开能力的必要特征作为一个模型被介绍的 onone 维的联合地图格子。到评估计划，一系列统计测试被采用，并且结果显示出密文的好随机看的自然。而且，我们使用我们的算法加密一幅灰度图象显示出关键敏感。

Modified DM Models for Aging Networks Based on Neighborhood Connectivity

二修改 Dorogovtsev-Mendes (DM ) 基于连接的动力学老化网络当模特儿近邻居被介绍。在旧地点的度和年龄分别地是 k 和 t 的地方，新地点的一个边作为在 DM 的模型与概率 ~ kt -α 被连接到旧地点。我们考虑二个盒子，即属于的新地点的另外的边有制服和度连接概率的旧地点近邻居分别地。网络结构随着老化代表 α 的增加变化。网络能与小世界的性质生产没有规模的度分布，这被发现。并且不同连接可能性导致网络的不同性质。

Self-organized Criticality in an Integrate-and-Fire Neuron Model Based on Modified Aging Networks

基于 integrate-and-Sre 机制，我们与老化节点在一个修改 BA 没有规模的网络上调查一个简单神经原模型的 self-organizedcriticality。在我们的模型，我们发现雪崩尺寸的分发跟随幂定律行为。批评代表τ取决于变老的代表α。有节点的老化的网络的结构随着α的增加变化。在 integrate-and-fire 神经原的模型有到不同行为的不同拓扑的结构。

Self-organized Criticality in a Modified Evolution Model on Generalized Barabasi-Albert Scale-Free Networks

generalizedBarabasi 艾伯特(GBA ) 上的自我组织的 criticality 的一个修改进化模型没有规模的网络被调查。在我们的模型，我们发现空间、时间的关联展出批评行为。更重要地，这些批评行为随着参数 b 变化，哪个重量与在 GBA 网络进化的度比较的距离。

Self-organized Criticality in Hierarchical Brain Network

It is shown that the cortical brain network of the macaque displays a hierarchically clustered organizationand the neuron network shows small-world properties.Now the two factors will be considered in our model and thedynamical behavior of the model will be studied.We study the characters of the model and find that the distribution ofavalanche size of the model follows power-law behavior.

Complex Behavior in an Integrate-and-Fire Neuron Model Based on Small World Networks

Based on our previously pulse-coupled integrate-and-fire neuron model in small world networks, we investigate the complex behavior of electroencephalographic (EEG)-like activities produced by such a model. We find EEG-like activities have obvious chaotic characteristics. We also analyze the complex behaviors of EEG-like signals,such as spectral analysis, reconstruction of the phase space, the correlation dimension, and so on.

Damage Spreading in Neural Network with Local Connection and Cycle Stored Patterns

The simulation results of damage spreading show the happening of dynamical chaotic-frozen phase transition in a one-dimensional system,a neural network with cycle stored patterns and local connection.In chaotic phase,the average number of damaged sites and the survival probability surprisingly obey a power-law behavior.

Communication via Chaotic Synchronization Based on Contraction Maps

A newly proposed method for constructing chaotically synchronizing systems is applied to communication.Several independent information signals can be transmitted at the same time if the chaotic system is a multi-dimensional one.Robustness of the method is investigated.

THE PHASE STRUCTURE FOR TWO PARAMETER ACTIONS IN SU(2)LATTICE GAUGE THEORY

The variational method has been applied to investigating the phase diagrams of the two parameter actions containing TrU(P)^(3) term in SU(2)lattice gauge theory.The result is in agreement with that obtained by Monte Carlo simulations.This can be helpful to understand the mechanism of the phase transitions.