Performance Comparison and Analysis of Three Gateway Discovery Protocols of Internet Connectivity for Ad Hoc Networks

In recent years, several gateway discovery protocols of Internet connectivity for ad hoe networks have been proposed. However, systematic performance evaluations and comparative analysis of these methods in a common realistic environment have not been performed yet. Thus, evaluating and comparing the performance of gateway discovery methods in different application environments will help people design and choose a proper protocol. In this paper, we firstly introduce the three representative gateway discovery methods, and then, according to the simulation results with NS2, we give a detailed comparison and analysis in various network scenarios, In conclusions, their perspectives are highlighted.     

基于Chord和超结点CORBA服务发现研究

文章分析了基于局域网的CORBA服务发现机制的不足,并在Chord研究的基础上,提出了基于Chord和超结点的CORBA服务发现机制-解决了CORBA服务扩展到Internet上时,CORBA服务的发布、管理、定位问题,并进一步扩展为支持CORBA服务为一个CORBA服务链的情况.     

网格环境中的资源发现问题

本文主要研究了网格资源发现的几个问题,从表述资源发现问题,资源和请求的表示、匹配的确定及可测量性问题的解决等方面做了分析和探讨.     

用Camtasia Studio 4制作演示视频

Camtasia Studio 4是Tech Smith公司开发的一款专门捕捉屏幕音影的工具软件。它能在任何颜色模式下轻松地记录屏幕动作,包括影像、音效、鼠标移动的轨迹,解说声音等等。是制作抓取屏幕制作演示型课件首先软件之一。另外,它还具有及时播放和编辑压缩的功能,可以对视频片段进行剪接、添加转场效果。输出的文件格式很多,有常用的AVI及GIF格式,还可输出为Flash、RM、WMV及MOV格式,用起来非常顺手。同时它还是一款视频编辑软件,可以将多种格式的图像,视频剪辑连接成电影,输出格式可是GIF动画、AVI、RM等,并可将电影文件打包成EXE文件,在没有播放器的机器上也可以进行播放,同时还附带一个功能强大的屏幕动画抓取工具,内置一个简单的媒体播放器。[编者按]     

数据挖掘及在金融领域的应用

本文介绍了数据挖掘常采用的方法,详细描述了数据挖掘技术在反洗钱系统的具体应用,该系统的实现对于防范和打击金融犯罪活动,具有重要的意义.     

Creative communication for chance discovery in shopping

This study considered an information presentation method to help customers make a concept-articulation type of purchase. When customers follow the concept-articulation type of thinking, they only have vague requirements and try to make a gradual clarification of what they really want through the interaction with salesclerk(s). Skillful salesclerks can communicate with their customers appropriately to discover an opportunity for bringing the customers to their concept-articulation, which often leads to a successful sale. Based on the observations from our analysis of these human behavior in actual purchase activities, we constructed a system called S-Conart (Concept Articulator for Shoppers) to support the concept-articulation type of purchase. The user study conducted using S-Conart shows that using a different method of presenting information can cause a change in the user’s mental world, which is also observed in a real-life shopping situation, although in a different form. The result of this user study suggests the possibility of chance discovery by customers themselves, which is expected to be useful for building support systems for concept-articulation type of shoppers. Hiroko Shoji: She is an associate professor in the Department of Information and Communication Sciences at Kawamura Gakuen Women’s University, and also a doctoral student in the Department of Advanced Interdisciplinary Studies at the University of Tokyo. She received her B.S. in mechanical engineering in 1989 and her M.Eng. in mechanical engineering and engineering synthesis in 1991 from the University of Tokyo. Her current research interests include creativity in real life and chance discovery. She was awarded a Research Promotion Award from Japanese Society for Artificial Intelligence (JSAI) in 2000. Koichi Hori, D.Eng.: He received his B.Eng, M.Eng, and Dr.Eng. degrees in electronic engineering from the University of Tokyo, in 1979, 1981, and 1984, respectively. In 1984, he joined National Institute of Japanese Literature, where he developed AI systems for literature studies. Since 1988, he has been with the University of Tokyo. He is currently a professor with Department of Advanced Interdisciplinary Studies, the University of Tokyo. From September 1989 to January 1990, he also held a visiting position at University of Compiegne, France. His current research interests include AI technology for supporting human creative activities, cognitive engineering and Intelligent CAD systems. Professor Hori is a member of IEEE, ACM, IEICE, IPSJ, JSAI, JSSST, and JCSS.     

基于XML的Web服务及关键技术

以XML为基础的Web服务是下一代的WWW。它建立在W3C和IETF开放的标准之上,已逐渐成为业界公认的技术准则。文章介绍了Web服务的概念及其体系结构,讨论了构建Web服务的三大核心技术,即SOAP、WSDL和UDDI,并对其进行了详细的分析和探讨。     

网格环境下数据库对等发现服务模型的研究

发现服务是网格环境下的核心服务之一。本文针对网格中数据库的发现服务问题,提出了一种对等发现服务模型DPDS(Database Peer-to-peer Discovery Service)。该模型引入发现服务器日志,试探性的在对等网中搜索可用约数据库及服务,不仅使发现服务具有更好的可用性和可扩展性,同时可以缩短响应时间,提高服务效率。     

Identifying nonconformity root causes using applied knowledge discovery

Quality control, failure analysis and improvement are central elements in manufacturing. Total Quality Management (TQM) provides several quality oriented tools and techniques which, in the event of things, are not always applicable. The increased use of Information Technology (IT) in manufacturing means increased data availability and improved potential for knowledge extraction. Exploiting this knowledge requires data storage and processing facilities with demanding, time consuming sessions for interpretation. Without suitable tools and techniques, knowledge remains hidden in databases. This paper presents a method to help identify root causes of nonconformities (NCs) using a pattern identification approach. Hereby, a general framework, Knowledge Discovery in Databases (KDD), is adapted. This adaptation involves incorporating an economic concentration measure, the Herfindahl–Hirschman Index (HHI), as the data mining algorithm. After presenting the theoretical background, a new methodology is proposed. The suggested approach can be regarded as a quality tool to help make root cause identification of failures simpler and more agile. A case study from the automotive industry is examined using this tool. Results are obtained and presented in the form of matrix based patterns. They suggest that concentration indices help indicate possible root causes of NCs, warranting further investigation in this area.