Visualization of Gene Mutation Complicated Pattern of Hepatitis B Virus Based on Cellular Automata

Hepatitis B virus shows instantaneous and high rate mutations in biological experiments, some sorts of which affect the efficiency of virus replication greatly through enhancing or depressing the viral replication, while others have no influence at all. Taking advantage of prominent features of cellular automata, we simulate the effect of hepatitis B virus gene mutation on its replication efficiency. The computer simulation results demonstrate the feasibility of our novel model by comparing with the results of biological experiments.     

多层细胞神经网络模型的一般状态解及动力值域估计

针对多层细胞神经网络模型，分析了其一般状态解并对其动力值域作了估计。     

The RCT approach for cell coverage prediction (I): Principles

A new method for the coverage prediction of Cellular Mobile Radio (CMR) system is developed and its basic principle is presented. Unlike the Statistical Prediction Model (SPM) that estimates propagation loss by empirical formulas or the Deterministic Prediction Model (DPM) that reckons propagation loss with analytical expressions, the Radio Computerized Tomography (RCT) method does not seek to express the propagation loss explicitly. The 2-D distribution of propagation loss factor is computed using CT technique, based on measured data collected through drive test under appropriate geometric constraint. The total propagation loss can be obtained by integral of propagation loss factor along the equivalent, ray path. The advantages and limitations of the technique, as well as its implementation are discussed. Biography: Yu Sheng-bing (1974-), male, Ph. D. candidate, research interest: theory analysis and application development of radio propagation in wireless communication systems.     

基于细胞神经网络的牌照倾斜校正及单字切分

车牌自动识别中 ,牌照倾斜和单字切分不准确会使字符识别率下降。为此提出基于细胞神经网络的牌照倾斜校正及单字切分的方法。由阴影检测器得到包含字符的块状区域 ,并得到块状区域的上、下边缘线 ,从而得到牌照的倾斜角度 ,对牌照进行倾斜校正。对校正后的图像 ,用相连单元检测器去除边框及其它干扰 ,并用另一个离散时间细胞神经网络模板完成单字切分。结果表明 ,利用细胞神经网络可以较好地完成牌照倾斜校正和单字切分 ,为后面的字符识别作了较好的准备。     

Coupled Faults Analysis and Evaluation M ethods Based on Cellular Automata

The reliability analysis of coupled faults may be difficult due to its properties of multiple and intermittent. The challenge is to find the rule and depict of the cross-linking relationship by mathematical model. The method in this study was developed around the Cellular Automata（ CA） with a novel neighborhood definition and the structure of network model to build the failure cellular automata. And the simulation of the coupled faults influence combined with the importance evaluation method of network node to find the most critical faults which were beneficial to improve the design,without consuming massive computational overhead.     

Antizyme and antizyme inhibitor, a regulatory tango

The polyamines are small basic molecules essential for cellular proliferation and viability. An autoregulatory circuit that responds to the intracellular level of polyamines regulates their production. In the center of this circuit is a family of small proteins termed antizymes. Antizymes are themselves regulated at the translational level by the level of polyamines. Antizymes bind ornithine decarboxylase (ODC) subunits and target them to ubiquitin-independent degradation by the 26S proteasome. In addition, antizymes inhibit polyamine transport across the plasma membrane via an as yet unresolved mechanism. Antizymes may also interact with and target degradation of other growth-regulating proteins. An inactive ODC-related protein termed antizyme inhibitor regulates polyamine metabolism by negating antizyme functions. The ability of antizymes to degrade ODC, inhibit polyamine uptake and consequently suppress cellular proliferation suggests that they act as tumor suppressors, while the ability of antizyme inhibitors to negate antizyme function indicates their growth-promoting and oncogenic potential.     

CDPD系统多址接入技术的研究

蜂窝数字分组数据（ＣＤＰＤ）是利用模拟蜂窝电话网实现分组数据传输的一种网络技术。其空中链路接口的媒质接入控制（ＭＡＣ） 层采用具有冲突检测的数字侦听多址接入（ＤＳＭＡ／ＣＤ） 技术。对该方案的实现进行了较深入的研究，并着重阐述了其实现过程中的几种关键技术     

Multi-agent based modeling and simulating for evacuation process in stadium

A multi-agent evacuation model is proposed in this paper to simulate the pedestrian evacuation process in stadium with or without obstacles. The authors give a multi-agent individual decisionmaking framework, in which the action direction of each pedestrian （called agent） is affected by the distance of the agent to the exits and the occupant number and density within the view field of the agent. Different from the existing results, the authors divide all the pedestrians in the stadium into four classes： Young male, young female, old male, and old female. In evacuation process, the weighting that affects individual decision-making between each class of agents is different. In the simulation, the authors present the effects of obstacles, crowd distribution and the exit position in evacuation process. Simulation results show that the proposed model can reproduce exactly the real evacuation process in stadium. Therefore, this method might be useful to assess public buildings design.     

基于元胞自动机的交通模型综述

对基于元胞自动机的交通模型进行综述，将其分为单车道模型、多车道模型和城市交通模型三类。NaSch模型是最重要的单车道模型，经过改进能够再现许多重要的交通流特性。换道是多车道模型的核心。围绕着动机产生和安全要求提出了多种换道规则，最近的模型能够再现密度反转等异常现象。城市交通模型从系统角度研究了网络交通流的相变规律，近期出现了网络模型与多车道模型相结合的趋势。以TRANSIMS为代表的微观仿真平台在大规模路网中得到了成功应用。然而CA交通模型在方法论上存在不足。一些实证规律未能再现，其实际应用也较少。     

非对称参数细胞神经网络中的混沌与分叉

研究了由３个细胞组成的细胞神经网络中的混沌与分叉现象。主要讨论细胞神经网络中的一类特殊奇异吸引子，它由两个稳定平衡点和一个不稳定平衡点（鞍点）及其流形形成。通过取不同的初始值，可以在同一组参数下获得３种不同的相轨线图，也可观察到一个不稳定极限环的存在。通过调整系统的参数，还可获得类似于蔡氏电路的奇异吸引子序列