应用烃类直接检测技术预测天然气藏

柴达木盆地位于青藏高原北部，是中国大型含油气盆地之一，历经４０年的勘探，发现了丰富的油气资源。柴达木盆地东部地区是第四纪沉降与沉积中心，区内第二系生储气岩厚度大、分布广、第四纪新构造运动形成的同生沉积构造发育、保存完整、具有形成大中型天然气田的地质条件。此外，由于该地区含气地层时代新、埋藏浅、成岩与胶结作用差、含气层厚度大、孔渗性好，加之构造条件简单，人文干扰小、是应用烃直接检测技术寻找天然气的有     

游牧精神与建筑文化探索

现代西方人的先祖都是来自草原的游牧民族,游牧基因没有在其后的历史发展中消亡,反而在新的时代被再次激活并焕发光彩。基于此,该文致力探索古希腊建筑与规划设计中体现出的游牧精神,并由此联系到对希腊精神产生共鸣的现代主义设计（主要分析勒·柯布西埃的作品）,进而延续到对于当代具有游牧精神的前卫设计,简洁梳理出一条游牧哲学在西方建筑史中发展的脉络,企图从游牧文化的角度重新思考建筑的意义,并希望对当代建筑设计有所启迪。     

基于Agent的UDDI研究

本文研究如何运用Agent技术实现Web服务的发布扣发现，并给出了一个参考模型。Agent具有智能性。容易发现Web服务；Web服务方便现有异构软件资源的集成。故本文建议在Web服务扣Agent技术之间构建一个过渡阶段，即吸取Agent技术的一些特点来改造Web服务。     

The role of abduction in chance discovery

Recently, researches on discovery science and knowledge discovery have been carried out in various fields. Basically they are types of learning that learn tendencies from the sets of data of the same or similar categories. In this sense, discovery is to discover the tendencies. As a result, they cannot predict the events that are different from the trend. On the other hand, abduction is thought of as an explanatory reasoning. Indeed, abduction is a reasoning to generate hypotheses to explain an observation. However, the original meaning of abduction was to discover new things that cannot be known in a simple way. In this paper, abduction is defined using the original definition that discovers something that cannot be easily predicted. Then, this paper shows a role of abduction that can suggest or foresee the events that are different from the trend. In fact, Abductive Analogical Reasoning that can generate new hypotheses is adopted to solve the problem. Akinori Abe, Ph.D.: He obtained his Doctor of Engineering (Ph.D) from the University of Tokyo in 1991, with a thesis entitledA Fast Hypothetical Reasoning System using Analogical Case. His main research interests are abduction (hypothetical reasoning), analogical reasoning, chance dicovery and language sense processing. He is a member of the Planning Committee of the New Generation Computing. He worked in NTT MSC (Malaysia) from 2000 to 2002. Currently, he works in ATR.     

WWW上的信息发现与搜索引擎技术

随着Ｉｎｔｅｒｎｅｔ在我国逐步得到普遍应用以及ＷＷＷ上中文信息量的不断增长，迫切需要研制适合我国国情的中英文Ｗｅｂ索引和检索服务系统。ＷＷＷ的信息发现和搜索引擎又称ｒｏｂｏｔ负责搜索物获取指定范围内的有关数据。本文对Ｗｅｂ搜索引擎的工作原理和关键技术进行讨论和分析，并分析了我们在研制中英文Ｗｅｂ索引和检索服务器方面所做的工作，包括系统总体结构和汉语分词技术等。     

Chance discoveries for making decisions in complex real world

Chance discovery is to become aware of a chance and to explain its significance, especially if the chance is rare and its significance is unnoticed. This direction matches with various real requirements in human life. This paper presents the significance, viewpoints, theories, methods, and future work of chance discovery. Three keys for the progress are extracted from fundamental discussions on how to realize chance discovery: (1) communication, (2) imagination, and (3) data mining. As an approach to chance discovery, visualized data mining methods are formalized as tools aiding chance discoveries on the basis of these keys. Yukio Ohsawa, Ph.D.: He received Bechelor of Engineering (1990) from Faculty of Engineering, Master of Engineering (1992) and Ph.D. (1995) from Graduate School of Engineering, respectively of The University of Tokyo. In the doctoral course he began artificial intelligence research, especially of abductive inference. He was a research associate (1995–1999) in Osaka University on studies of text mining and related issues, and moved to the current position, associate professor in the University of Tsukuba in 1999. From 2001, he is also a researcher of TRESTO (changed to PRESTO) in Japan Science and Technology Corporation. He received best paper awards in two Annual Conferences of Japasese Society of AI (1994 and 1998), and a Journal Paper Award from JSAI in 1998. His social activities are committees of conferences e.g., International Conference of Multi-Agent Systems (ICMAS) since 1998 and Discovery Science (DS) since 2001, program chair of MultiAgent and Cooporative Computations (MACC, in Japan) in 1999, and committes of meetings including ones on Chance Discovery.     

基于Web方式网络管理的研究与实现

介绍了基于Web方式网络管理系统的两种模型和实现过程 ,并描述了一个具体的网络管理系统的设计和实现 ,提供用浏览器来管理网络的功能 ,另外对网络的拓扑结构发现方法进行了一些探讨 ;最后提出了一种分布式网管模型来发布网管信息     

跨域服务注册中心的数据同步研究

为减少Web服务注册中心的用户响应时间,根据UDDIV3规范在分布式环境下建立跨域服务注册中心系统。将系统分为域间和域内两层,域间使用基于订阅的方式进行数据异步复制,域内使用动态主从复制方式进行数据同步复制,并优化UDDI的数据结构。分析优化前后的数据量,对该系统和节点间完全复制的系统进行比较。实验结果表明,该系统能够有效地提高服务注册中心的性能。     

分布式结构在IP网络管理中的应用

计算机网络被日益广泛地应用,越来越深入地影响着人类的生活。随着网络规模的不断扩大,管理维护网络的任务变得越来越困难。传统的网络管理系统采用集中式结构,已经不能适应现在普遍存在的大型网络的管理需要。当前存在三种典型网络管理体系结构:集中式、分布式、分层式,通过分析比较三种结构的优缺点,可以看出分布式结构拥有最多的忧点,非常适应当前大型网络管理的需要。本文介绍了一种分布式结构的实现方式。通过选举机制,通过拓扑发现节点之间维持一种动态的主从关系,并且系统对自身节点的故障有检测手段和一定的处理措施,从而大大增强了系统的健壮性。