IPv6和基于IPv6的网络设计

对IPv6协议的主要内容进行了简要介绍,并针对IPv6的特点对基于IPv6的网络设计进行了探讨。     

基于TMN的电信管理网研究与实现

为解决由于电信事业的发展对电信管理网所提出的更高要求,即兼容性、可持续性、综合技术应用性等方面的要求,提供了一种基于TMN架构的电信管理网的设计实现架构,对整个系统的架构进行了概括性的分析。该系统是一个成功应用的商用系统,采用了J2EE架构,对J2EE架构的应用具有一定的启示作用。依照该架构实现的电信管理网系统,无论从软件的复用性,可扩展性及产品的功能特点等指标,均满足了当前电信事业发展的要求。     

Intranet 的建立及影响

结合山西焦化公司内部网建设实践，分析了建设企业内部网的技术选择，阐述了以太网技术在大中型化工企业网络建设中的具体应用。指出建立信息网络将缩小企业与国外企业之间的营销能力差异，增强我国企业的竞争力。     

智能工程与控制技术：历史,发展与未来

本文综述了智能工程和控制技术的发展历程和基本问题。文中着重论述了人工智能在过程控制系统中的必要性及开发实时智能控制系统的步骤；对符号推理系统、耦合推理系统、人工神经网络和集成分布式智能系统的特点和局限进行了比较。最后讨论了计算机集成过程系统（ＣＩＰＳ）的基本问题、基础技术和发展前景。     

OSI参考模型与B—ISDN协议参考模型的比较

分析了ＯＳＩ参考模型和Ｂ－ＩＳＤＮ协议参考模型之间的关系，为Ｂ－ＩＳＤＮ与以ＯＳＩ为标准的数据网的互联打下了基础。     

Inference and retrieval of facial images

Attempts have been made to extend SQL to work with multimedia databases. We are reserved on the representation ability of extended SQL to cope with the richness in content of multimedia data. In this paper we present an example of a multimedia database system, Computer Aided Facial Image Inference and Retrieval system (CAFIIR). The system stores and manages facial images and criminal records, providing necessary functions for crime identification. We would like to demonstrate some core techniques for multimedia database with CAFIIR system. Firstly, CAFIIR is a integrated system. Besides database management, there are image analysis, image composition, image aging, and report generation subsystems, providing means for problem solving. Secondly, the richness of multimedia data urges feature-based database for their management. CAFIIR is feature-based. A indexing mechanism,iconic index, has been proposed for indexing facial images using hierarchical self-organization neural network. The indexing method operates on complex feature measures and provides means for visual navigation. Thirdly, special retrieval methods for facial images have been developed, including visual browsing, similarity retrieval, free text retrieval and fuzzy retrieval.     

Macroscopic analysis of design processes based on a scheme for coding designers' cognitive actions

We have devised a new scheme for coding designers' cognitive actions from video/audio design protocols. Designers' actions are coded into four cognitive levels; physical, perceptual, functional and conceptual. Relations between actions belonging to different levels, such as dependencies and triggering relations, are also coded. The present scheme has two benefits. First, we found that design actions are definable in a systematic way using the vocabulary of the scheme, and thus a designer's cognitive behaviours in each of local design stages is represented as a structure composed of defined primitive actions. This is expected to lay the foundation for microscopic analyses of how particular types of actions contribute to the formation of key design ideas. Second, this scheme is suitable for macroscopic analyses of how designers cognitively interact with their own sketches. We examined, for a practising architect, the ways in which drawing, inspection of drawings, perception, and functional thoughts correlated with one another in his design process. The findings suggest that design sketches serve not only as external memory or as a provider of visual cues for association of non-visual information, but also as a physical setting in which design thoughts are constructed on the fly.     

新一代的国际互联网通信协议：IP Version6

本文通过对ＩＰｖ６和ＩＰｖ４协议的比较，讨论了新一代国际互联网通信协议ＩＰｖ６的特点，新增加的功能，并指出ＩＰｖ６协议的颁布对现有技术的影响和相应对策。     

Neural networks for contract bridge bidding

The objective of this study is to explore the possibility of capturing the reasoning process used in bidding a hand in a bridge game by an artificial neural network. We show that a multilayer feedforward neural network can be trained to learn to make an opening bid with a new hand. The game of bridge, like many other games used in artificial intelligence, can easily be represented in a machine. But, unlike most games used in artificial intelligence, bridge uses subtle reasoning over and above the agreed conventional system, to make a bid from the pattern of a given hand. Although it is difficult for a player to spell out the precise reasoning process he uses, we find that a neural network can indeed capture it. We demonstrate the results for the case of one-level opening bids, and discuss the need for a hierarchical architecture to deal with bids at all levels.