A study on a distributed cooperated database structure and it's access security

(1)身份识别系统的特征提取方法我们研究了一种基于通信中常用的笔迹、语音、人脸图像等个人特征的身份识别系统。在所提出的身份识别系统中，用户利用自己的个人特征进行身份验证，无需PIN或智能卡，提供了人性化的界面。在基于个体特征的特征提取方法中，将特征参数分为多个类别，并根据每个类别对个体验证的重要性进行适当的加权。在特征参数具有特征性和信息性的情况下，给出了大量的权值。(2)分布式协同数据库系统我们研究了自治协同数据库处理系统的体系结构、规范环境和用户界面；1)超分布式系统；作为自治协同环境的实现。研究了数据驱动的规范环境，提高了软件的可重用性；提出了多媒体接口，在规范环境中建立了更友好的界面。(3)分布式协同路由算法研究了分布式协同路由算法。我们使用了一个使用随机学习自动机(SLA)的群体总活动模型。

(1) Feature extraction method for personal identification systemWe have studied a personal identification system based on individual characteristics, such as handwriting, voice, facial image, which are used generally in our communication. In the proposed identification system, users utilize their individual characteristics for authentication process without PIN or smart cards, which provides human-friendly interface. As for feature extraction method from individual characteristics, feature parameters are classified into several categories and each category is weighted properly according to the importance for individual verification. In case that a feature parameters is characteristic and informative, a large amount of weighting value is given. We have also studied the reliability of the proposed system with test results using writing information.(2) Distributed cooperated database systemWe have studied system architecture, specification environment and user interface in an autonomous coordinated database processing system ;1) Hyper-Distributed System ; was proposed as an implementation of autonomous coordinated environment. Impacts on highly information society was also studied.2) Data-Driven Specification Environment ; was researched to improve software reusability.3) Multi-Media Interface ; was proposed to establish more user-friendly interface in the specification environment.(3) Distributed cooperated routing algorithmWe have studied distributed cooperated routing algorithm. We used a model of a colony's total activity using stochastic learning automaton (SLA).