RSS技术及其应用研究

应用RSS技术不仅可以把最及时的、最有价值的信息聚合起来提供给用户,而且它为网络服务应用开辟了一条新途径。本文探讨了RSS技术、实现及其应用,阐述了RSS技术的发展趋势,对RSS技术研究和应用以及RSS产品开发具有一定的指导意义。     

RSS技术及其发展探讨

互联网的发展使得网络成为人们重要的信息来源，但传统的浏览方式存在一定不足。一种新的浏览技术RSS在近年来迅速发展，越来越多的Web站点为用户提供基于RSS的浏览方式。文中对RSS技术的各个方面做一个综述，分析了RSS的由来及发展状况，给出了RSS不同版本之间的对比；介绍了RSS技术的工作原理及其与传统的浏览方式的区别。对RSS的优点及应用领域作一个探讨，简单讨论了RSS的一些不足。作为一种新的网络浏览方式，RSS存在优点的同时存在一定的不足，但其将来必定会越来越完善。     

RSS技术在网络营销中的应用研究

RSS是近几年最热门的互联网词汇之一，是目前使用最广泛的XML应用。本文从RSS的应用背景，技术支持和实用三个方面对这一技术进行研究。     

RSS技术在校园网中的应用研究

对RSS技术进行简单介绍,并分别探讨RSS规范及其技术实现,重点对RSS技术在校园网中的应用进行研究,重点介绍了如何利用RSS技术来对校园网资源进行资源整合,并对以后的应用进行展望。     

时尚“阅读”招招教（下）

继上期我们教大家学会了使用当前最流行、最知名的2款RSS阅读器的技巧和基本方 法后,下面我们再教大家一些“旁门左道”,借助其他方式,玩转你的RSS新生活。 其实,早在90年代末,RSS技术就已 经由网景公司提出,并集成在当年红极一 时的Navigator浏览器中,不过当时互联网 上的信息比较匮乏,所以在RSS商业应用 上没有引起大家注意。近几年随着Blog的 兴起,以及博客广泛采用RSS作为信息交 流技术,RSS开始咸鱼翻身,加之Yahoo、 Google等公司的大力支持,RSS才逐渐兴 盛起来,现在许多博客网站和门户站点都 提供RSS服务。     

走在时尚的前沿——通通透透看RSS

随着BLOG的兴起，各种浏览器对RSS的支持，RSS一下走到了网络的前沿，成为了大家关注的焦点。那么什么是RSS，如何阅读RSS资源，有哪些工具软件或者浏览器支持RSS阅读呢？他们各自的表现又是如何呢？这就是本期专题将要和大家一起分享的内容。     

RSS技术及其发展探讨

互联网的发展使得网络成为人们重要的信息来源,但传统的浏览方式存在一定不足。一种新的浏览技术RSS在近年来迅速发展,越来越多的Web站点为用户提供基于RSS的浏览方式。文中对RSS技术的各个方面做一个综述,分析了RSS的由来及发展状况,给出了RSS不同版本之间的对比;介绍了RSS技术的工作原理及其与传统的浏览方式的区别。对RSS的优点及应用领域作一个探讨,简单讨论了RSS的一些不足。作为一种新的网络浏览方式,RSS存在优点的同时存在一定的不足,但其将来必定会越来越完善。     

基于ASP．NET的RSS新闻聚合阅读器的设计与实现

RSS是一种用于共享新闻标题和其他Web内容的XML格式标准,在互联网上应用非常广泛。本文结合ASP．NET和XML技术,开发一个在线的RSS新闻聚合阅读器,并对阅读器的结构设计和实现的关键技术进行阐述。     

采用C#实现RSS订阅服务

RSS订阅服务让浏览者不用再花费大量的时间去浏览互联网上的海量信息,RSS订阅的提供者会收集和组织浏览者所定制的新闻,按照希望的格式直接传送到浏览者的计算机。本文分析RSS源文件结构,设计一种基于C#动态的RSS订阅系统。该系统在单位网站部署运行情况良好,达到实时更新、无需人工参与的应用效果。     

RSS技术在图书馆的实际应用

RSS技术作为WEB2.0的一项核心技术,对于图书馆信息服务具有革命性的意义。本文主要介绍了RSS的含义,分析了RSS的特点,探讨了RSS在图书馆建设和服务中的应用.     

INTRODUCTION TO THE SPECIAL ISSUE ON CASE-BASED REASONING IN THE HEALTH SCIENCES

There has been an explosion of interest in health sciences applications of case-based reasoning (CBR), not only in the traditional CBR in medicine domain, but also in bioinformatics, enabling home health-care technologies, CBR integration, and synergies between CBR and knowledge discovery. This special issue features the best papers from the third workshop on CBR in the health sciences, held at ICCBR-05 in Madrid. It is the third in a series of exciting workshops, the first two of which were held at ICCBR-03, in Trondheim, Norway, and at ECCBR-04, in Madrid, Spain. The nine high-quality papers introduced here represent the research and experience of twenty-two authors working in eight different countries on a wide range of problems and projects. These papers illustrate some of the major trends of current research in CBR in the health sciences, and represent overall an excellent sample of the most recent advances of CBR in the health sciences.     

Stability of nonlinear hybrid dynamical systems with time delay via sum of squares decomposition

Considering an infinite number of eigenvalues for time delay systems, it is difficult to determine their stability. We have developed a new approach for the stability test of time delay nonlinear hybrid systems. Construction of Lyapunov functions for hybrid systems is generally a difficult task, but once these functions are found, stability’s analysis of the system is straight-forward. In this paper both delay-independent and delay-dependent stability tests are proposed, based on the construction of appropriate Lyapunov-Krasovskii functionals. The methodology is based on the sum of squares decomposition of multivariate polynomials and the algorithmic construction is achieved through the use of semidefinite programming. The reduction techniques provide numerical solution of large-scale instances; otherwise they will be computationally infeasible to solve. The introduced method can be used for hybrid systems with linear or nonlinear vector fields. Finally simulation results show the correctness and validity of the designed method. Recommended by Editorial Board member Young Soo Suh under the direction of Editor Jae Weon Choi. The authors wish to express their thanks to Dr. A. Papachristodoulou and Dr. M. Peet for their helpful comments and suggestions. Mohammad Ali Badamchizadeh was born in Tabriz, Iran, in December 1975. He received the B.S. degree in Electrical Engineering from University of Tabriz in 1998 and the M.Sc. degree in Control Engineering from University of Tabriz in 2001. He received the Ph.D. degree in Control Engineering from University of Tabriz in 2007. He is now an Assistant Professor in the Faculty of Electrical and Computer Engineering at University of Tabriz. His research interests include Hybrid dynamical systems, Stability of systems, Time delay systems, Robot path planning. Sohrab Khanmohammadi received the B.S. degree in Industrial Engineering from Sharif University, Iran in 1977 and the M.Sc. degree in Automatic from University Paul Sabatie, France in 1980 and the Ph.D. degree in Automatic from National University, ENSAE, France in 1983. He is now a Professor of Electrical Engineering at University of Tabriz. His research interests are Fuzzy control, Artificial Intelligence applications in control and simulation on industrial systems and human behavior. Gasem Alizadeh was born in Tabriz, Iran in 1967. He received the B.S. degree in Electrical Engineering from Sharif University, Iran in 1990 and the M.Sc. degree from Khajeh Nasir Toosi University, Iran in 1993 and the Ph.D. degree in Electrical Engineering from Tarbiat Modarres University, Iran in 1998. From 1998, he is a Member of University of Tabriz in Iran. His research interests are robust and optimal control, guidance, navigation and adaptive control. Ali Aghagolzadeh was born in Babol, Iran. He received the B.S. degree in Electrical Engineering in 1985 from University of Tabriz, Tabriz, Iran, and the M.Sc. degree in Electrical Engineering in 1988 from the Illinois Institute of Technology, Chicago, IL. He also attended the School of Electrical Engineering at Purdue University in August 1998 where he was also employed as a part-time research assistant and received the Ph.D. degree in 1991. He is currently an Associate Professor of Electrical Engineering at University of Tabriz, Tabriz, Iran. His research interests include digital signal and image processing, image coding and communication, computer vision, and image analysis.     

The application of IT in organisations: Some trends and issues

Abstract

This paper describes some trends and issues in the application of information technology in organisations. Technology trends are outlined in the areas of computing power, telecommunications, networking, software and standards. Some trends in the applications of IT are described with respect to developments in information systems and office automation. Some differences in the likely role of IT in the industrialised and developing countries are discussed. The second half of the paper deals with issues in the management of IT applications in organisations, and issues are identified as being political, organisational and social in nature in addition to technical. A social systems framework is proposed for the analysis of these issues. Some specific IT issues are then discussed involving alternative stakeholder perspectives, the analysis of decision making processes, the process of consultation and communication and the organisational impacts of IT applications.     

Food security problems in sub-Saharan Africa: Operations Research as a tool of analysis

For many years, the author has been involved in teaching and research in the use of Operations Research as a tool of analysis to study food security problems in sub‐Saharan Africa, in particular, grass root problems of poor farmers. The paper presents an introduction to the way Operations Research methods have been applied in case studies and research projects, and discusses in retrospect the author's views on the strengths and limitations of the application of Operations Research. The paper has in particular been written for people who are not familiar with applications of Operations Research in agriculture, and are interested to learn about its potential usefulness in practice. The retrospective part is largely based on food security studies in e.g. Tanzania, Burkina Faso, Bénin, Togo and Eritrea and on participation in several interdisciplinary research programmes in Africa.     

Older Adults’ Text Entry on Smartphones and Tablets: Investigating Effects of Display Size and Input Method on Acceptance and Performance

This study focuses on older adults’ finger-based text entry on smartphones and tablets. Thirty-two older adults entered Chinese characters with two input methods (typing and handwriting) on touch screens with four display sizes (3.5 in., 5 in., 7 in., 9.7 in.). Their performance, acceptance, preference, and errors were recorded and thus four findings were found. First, on small displays (3.5 in. and 5 in.), handwriting contributed to shorter task completion time, higher perceived ease of use, and higher usage intention than typing, but no difference was observed on large displays (7 in. and 9.7 in.). Second, there is a gap of task completion time and perceived ease of use between 5 in. and 7 in. for typing, whereas there is no gap for handwriting. Third, participants’ preference of 9.7 in. was almost the same as that of 7 in., and their preference of 7 in. was 1.5 times as strong as that of 5 in. Fourth, participants’ finger-based text entry was prone to 13 types of errors. Many of these errors were caused by the mismatch between older adults’ mental models and designers’ mental models.     

符号网络链接预测算法研究综述

符号网络链接预测包括网络结构上两个节点间未知链接的可能性预测与符号预测两方面,其相关研究对于分析和理解符号网络的拓扑结构、功能及演化行为具有十分重要的意义,在个性化推荐、态度预测、蛋白质交互作用研究等领域有着重大的应用价值。文中综述了符号网络链接预测问题的研究成果,介绍了相关概念、符号网络的理论基础、常用符号网络数据集以及预测精度评价标准;将目前主要的符号网络链接预测算法按照设计思路分为有监督学习与无监督学习两大类,详细阐述了每种算法的主要思想;归纳总结了符号网络链接预测问题的特点和规律,讨论了目前存在的问题并指出了面临的挑战和未来可能的发展方向。这能为信息学、生物学、社会学等领域的相关研究人员提供有益参考。     

The use of pattern recognition methods in tasks of biomedical diagnostics and forecasting

Questions of use of pattern recognition methods in medical tasks are discussed. The Recognition program system is presented, which contains a variety of pattern recognition and cluster analysis methods. Some methods based on voting by a system of regularities are discussed in more detail. An example of solved tasks of hysteromyoma relapse forecasting is given. The text was submitted by the authors in English. Yuri Ivanovich Zhuravlev. Born in Voronezh on January 14, 1935. In 1957, graduated from Moscow State University. Doctor of physics and mathematics since 1965, professor since 1967, and an academician of the RAS since 1992. Deputy director of the Dorodnicyn Computing Center of the RAS, chair of the Mathematics Department of the RAS, head of the Chair of Moscow State University, and editor in chief of Pattern Recognition and Image Analysis. Foreign member of the Spanish Royal Academy of Sciences, the National Academy of Sciences of Ukraine, and the European Academy of Sciences. Winner of the Lenin and Lomonosov prizes. Main fields of scientific interest: mathematical logic; control systems theory; the mathematical theory of pattern recognition, image analysis, and forecasting; operation research; and artificial intelligence. Developed such new lines of research as the theory of local optimization algorithms, algorithms of estimate calculation, and the algebraic theory of recognition algorithms. Oleg Valentinovich Senko. Born in Salavat, Bashkortostan, in 1957. In 1981, graduated from the Moscow Institute of Physical Technology; in 1985–1989, took graduate courses, receiving a PhD in 1990. Senior researcher, Dorodnicyn Computing Center, RAS. Doctor of physics and mathematics since 2007. Scientific interests: data mining, mathematical models of pattern recognition, classification and forecasting, and practical applications in medicine and other fields. Vladimir Vasilievich Ryazanov. Graduated from the Moscow Institute of Physical Technology in 1973 and completed graduate courses at the Computing Center of the USSR Academy of Sciences in 1976. Received a PhD in 1977 in computer science and the degree of professor in 1994 (“Applications of Mathematical Methods, Mathematical Modeling, and Computers in Scientific Research”). At the Dorodnicyn Computing Center of the RAS since 1976. Head of the Situations Recognition Sector in the Department of Recognition Problems and Combinatorial Analysis. Author of approximately 150 papers. Scientific interests: data mining; mathematical models of pattern recognition; classification and forecasting; optimization of recognition and classification models; learning; synthesis of optimal collective solutions in the problem of classification; creation of intelligent program systems for data analysis and recognition; and practical applications in technology, medicine, and industry. Anna Victorovna Kuznetsova. Born in Samara (Kuibyshev) in 1961. In 1986 graduated from the Second Moscow Medical Institute. In 1991–1994, took graduate courses, receiving a PhD in biology in 1995. Senior researcher, Emanuel Institute of Biochemical Physics. Scientific interests: pattern recognition, intellectual methods of data analysis, and development of diagnostic and forecasting algorithms in medicine and biological and medical applications in medicine and other fields. Mikhail Afanasievich Botwin. Born in the village of Rashevka of Poltava oblast in Ukraine in 1941. Doctor of medical sciences and Professor of the Sechenov Moscow Medical Academy. Scientific interests: hysteromyoma: pathogenesis, diagnostics, influence on pregnancy, aperiodicities of birth activity, methods of treatment.     

Applying and combining three different aspect Mining Techniques

Understanding a software system at source-code level requires understanding the different concerns that it addresses, which in turn requires a way to identify these concerns in the source code. Whereas some concerns are explicitly represented by program entities (like classes, methods and variables) and thus are easy to identify, crosscutting concerns are not captured by a single program entity but are scattered over many program entities and are tangled with the other concerns. Because of their crosscutting nature, such crosscutting concerns are difficult to identify, and reduce the understandability of the system as a whole. In this paper, we report on a combined experiment in which we try to identify crosscutting concerns in the JHotDraw framework automatically. We first apply three independently developed aspect mining techniques to JHotDraw and evaluate and compare their results. Based on this analysis, we present three interesting combinations of these three techniques, and show how these combinations provide a more complete coverage of the detected concerns as compared to the original techniques individually. Our results are a first step towards improving the understandability of a system that contains crosscutting concerns, and can be used as a basis for refactoring the identified crosscutting concerns into aspects. M. Ceccato is a PhD student in ITC-irst in Trento, Italy. He received his degree in Software Engineering from the University of Padova, Italy, in 2003. The master thesis concerned the Re-engineering of an existing big-sized data warehouse application. The project was developed in the Information Technology department in Alcoa Servizi. His research interests are on source code analysis and manipulation, especially for the the migration of object-oriented code to aspect-oriented programming. He collaborates with King’s College London and Loyola College in Maryland on the automatic support for this migration process. He has been involved in the organization and in the program committee of a number of AOP-related events, such as Late Workshop, in Chicago (2005) and in Bonn, Germany (2006), held within the major Aspect Oriented Programming conference (AOSD) and 3rd European Workshop on Aspects in Software (EWAS’06) in Enschede, The Netherlands. Marius Marin is a Ph.D. researcher in the Software Evolution Reseach Laboratory at Delft University of Technology, the Netherlands. He was granted an engineering degree by the Technical University of Civil Engineering, Bucharest, in 2000, and Licentiate in Economic Computer Science from the Academy of Economic Studies, Bucharest, in 2002. Before starting his Ph.D. studies, he worked as a software engineer in industry. His main research interests are in the area of reverse engineering, software modularization and modeling, and aspect-oriented software development. He is the main author of the publicly available aspect mining tool FINT and he publishes at international conferences in the aforementioned topics. He has been involved in program- and organizing committees of several workshops related to aspect mining. Kim Mens obtained his Ph.D. in Computer Science at the Vrije Universiteit Brussel, on “architectural conformance checking,” for which he used a declarative meta-programming approach. After his Ph.D. he became a full-time professor (chargé de cours) at the Université catholique de Louvain-la-Neuve (UCL). In addition to his current interest in logic meta-programming and intensional views, Kim Mens is one of the originators of the reuse contracts technique for automatically detecting conflicts in evolving software. He has been formally involved in several research networks related to software evolution. He has a strong interest in object-oriented and aspect-oriented software development and has actively participated in the organization of several workshops and conferences on those topics. He combines all these different research interests under the common denominator of co-evolution (between source code and earlier life-cycle software artifacts). Other research topics that fit this common theme and in which he is interested are software architecture, software maintenance, reverse engineering, software transformation, software restructuring and renovation, aspect mining and evolution of aspect programs. L. Moonen is an assistant professor in the Software Evolution Research Lab at Delft University of Technology and a researcher at the Centre for Mathematics and Computer Science (CWI), the Netherlands. His research interests are the design and development of advanced program analysis tools and techniques that support development, maintenance and evolution of large software systems. Concrete topics include the reverse engineering and exploration of views on software systems and their use for understanding and assessing software quality attributes such as evolvability, reliability and security. Dr. Moonen received an MSc (cum laude, Computer Science, 1996) and PhD (Computer Science, 2002) from the University of Amsterdam. He is one of the founders of the Software Improvement Group, a company that specializes in tools and consultancy to help organizations solve their legacy problems. He publishes regularly at, and serves on organizing-, steering- and program committees of, international workshops and conferences on reverse engineering (WCRE), source code analysis (SCAM), software maintenance (ICSM), program understanding (ICPC), reengineering (CSMR), aspect mining (Dagstuhl 06302, TEAM) and software security (CoBaSSA). Paolo Tonella is a senior researcher at ITC-irst, Trento, Italy. He received his laurea degree cum laude in Electronic Engineering from the University of Padova, Italy, in 1992, and his Ph.D. degree in Software Engineering from the same University, in 1999, with the thesis “Code Analysis in Support to Software Maintenance.” Since 1994 he has been a full time researcher of the Software Engineering group at ITC-irst. He participated in several industrial and European Community projects on software analysis and testing. He is the author of “Reverse Engineering of Object Oriented Code,” Springer, 2005. His current research interests include reverse engineering, aspect oriented programming, empirical studies, Web applications and testing. Tom Tourwé obtained the degree of Licentiate in Computer Science in 1997 and Ph.D. in Science in 2002 at the Vrije Universiteit Brussel. He is currently associated to the Centrum voor Wiskunde en Informatica, based in Amsterdam, The Netherlands, where he works as a post- doctoral researcher in the Ideals project. His main research interests lie in the broad area of software engineering, and include aspect-oriented software evolution and re-engineering in particular. He published several peer-reviewed articles on these topics in international journals and conferences, and organised a number of workshops on those themes.