A Review of “Marketing Today’s Academic Library: A Bold New Approach to Communicating with Students”

ABSTRACT

This paper contends that the potential of Usenet as an information tool is outstanding, but that librarians have been slow to realize this promise. By examining Usenet discussions, the paper looks at the issues involved in using Usenet, and discusses the notion that real information can only come from professionals. It concludes that Usenet is a valuable tool that needs to be developed, especially when determining what sources of information could best assist patrons.     

与NNTP相兼容的中文电子新闻系统的实现

电子新闻系统是Ｉｎｔｅｒｎｅｔ上广泛应用的系统之一．本文所研究的与ＮＮＴＰ相兼容的中文电子新闻系统，是根据“中国教育和科研计算机网（ＣＥＲＮＥＴ）”的建设要求而开发的，该系统运行在ＤＯＳ环境下，为用户提供阅读、编辑和发送新闻等功，它为用户提供操作方便、使用灵活的莱单界面，一般用户均可方便地使用．     

Diaspora on the Electronic Frontier: Developing Virtual Connections with Sacred Homelands

This study demonstrates how diaspora religious traditions utilized the Internet to develop significant network connections among each other and also to their place of origins. By examining the early Usenet system, I argue that the religious beliefs and practices of diaspora religious traditions were a motivating factor for developing Usenet groups where geographically dispersed individuals could connect with each other in safe, supportive, and religiously tolerant environments. This article explores the new forms of religious practices that began to occur on these sites, focusing on the manner in which Internet technology and the World Wide Web were utilized for activities such as long-distance ritual practice, cyber pilgrimage, and other religiously-motivated undertakings. Through these new online religious activities, diaspora groups have been able to develop significant connections not only among people, but also between people and the sacred homeland itself.     

InterNetNews server: inside an open-source project

What do you get when you give your source code away and encourage programmers around the world to make changes to it? Some Internet software development engineers believe you get a robust system with a large market share and development that is highly responsive to user needs. The team behind the InterNetNews Usenet server package is one such group of believers. INN provides programs to exchange Usenet messages with other servers and to deliver those messages to end users. The Internet Software Consortium oversees the INN and has been supporting its development under an open model. INN is a moderate-sized software project with more than 430 files containing nearly 150,000 lines in the uncompiled distribution. Programs are written mainly in C, Bourne shell, and Perl. The CVS revision control system manages all changes to files. The paper describes the logistics of InterNetNews     

Sliding mode stabilisation of networked systems with consecutive data packet dropouts using only accessible information

This paper develops a novel stabilising sliding mode for systems involving uncertainties as well as measurement data packet dropouts. In contrast to the existing literature that designs the switching function by using unavailable system states, a novel linear sliding function is constructed by employing only the available communicated system states for the systems involving measurement packet losses. This also equips us with the possibility to build a novel switching component for discrete-time sliding mode control (DSMC) by using only available system states. Finally, using a numerical example, we evaluate the performance of the designed DSMC for networked systems.     

Evaluation procedures to be used during the development of CAD systems

This paper describes the different types of CAD system that are available and enters into discussion as to how to choose between one system and another. The paper then follows the path of modification, ie taking an existing system and changing it slightly to meet specific needs. One of the most important parts of this process is the methodology for evaluating existing CAD systems to determine if they could be modified to embrace the particular application. This procedure is described here. The paper concludes with an example in which an engineering company has attempted to speed design and drawing time by using a modified existing drawing package.     

Using egocentric networks to understand communication

Social-network analysis generally helps researchers understand how groups of people interact. In this article the author uses small-scale egocentric social networks, based on volitional, explicit connections, to understand how people manage their personal and group communications. Two research projects using this approach show that such networks can give researchers important insight into the people who communicate online. Soylent, a project based on email, shows several common patterns in social interaction. The Roles project, based on Usenet newsgroups, suggests that various online social spaces can behave very differently from each other.     

Inferring user interest

As the World Wide Web continues to grow, people find it impossible to access even a small portion of the information generated in a day from Usenet news, e-mail, and Web postings. Automated filters help us to prioritize and access only the information in which we're interested. Because opinions differ about the importance or relevance of information, people need personalized filters. Implicit indicators captured while users browse the Web can be as predictive of interest levels as explicit ratings     

Machine Learning for Information Extraction in Informal Domains

We consider the problem of learning to perform information extraction in domains where linguistic processing is problematic, such as Usenet posts, email, and finger plan files. In place of syntactic and semantic information, other sources of information can be used, such as term frequency, typography, formatting, and mark-up. We describe four learning approaches to this problem, each drawn from a different paradigm: a rote learner, a term-space learner based on Naive Bayes, an approach using grammatical induction, and a relational rule learner. Experiments on 14 information extraction problems defined over four diverse document collections demonstrate the effectiveness of these approaches. Finally, we describe a multistrategy approach which combines these learners and yields performance competitive with or better than the best of them. This technique is modular and flexible, and could find application in other machine learning problems.     

Hardware system for realtime signal processing software development

A solution to the development of hardware for realtime signal processing applications using an existing Unix-based microprocessor development system is described. The system used is based upon a single special purpose digital signal processor controlled by a general purpose microprocessor. The modularity of the approach allows the possibility of control of several signal processing modules performing concurrent tasks. A particularly attractive feature of this development system is that it may be extended at low cost to accommodate new processors as they become available from manufacturers.     

SAUText - a system for analysis of unstructured textual data

Nowadays, semantic lexical resources, like ontologies, are becoming increasingly important in many systems, in particular those providing access to unstructured textual data. Typically, such resources are built based on already existing repositories and by analyzing available texts. In practice, however, building new or enriching existing resources of such type cannot be accomplished without using an appropriate tool. In this paper the SAUText is presented; it is a new system which provides the infrastructure for carrying out research involving the usage of semantic resources and the analysis of unstructured textual data. In the system a dedicated repository for storing various kinds of text data is used and parallelization is taken advantage of in order to speed up the analysis. As an example of a method for knowledge discovery available in the system, a new approach for synonym discovery is introduced.     

模型驱动体系结构在信息系统中的应用研究

信息系统是收集、储存、加工、传递、维护和使用信息的重要工具，是相关活动的神经中枢。作为信息化建设的中心环节，信息系统的优劣至关重要。而现有信息系统普遍存在着系统需求分析不到位、可维护性、可扩展性及可重构性差的问题。论文在分析信息系统使用中存在的问题的基础上，提出了在信息系统开发过程中应用模型驱动体系结构的思想，并且详细地分析了模型驱动体系结构在信息系统开发和改造过程中的应用。     

On the development of a communication-aware task mapping technique

Clusters have become a very cost-effective platform for high-performance computing. In these systems, although currently existing networks actually provide enough bandwidth for the existing applications and workstations, the trend is towards the interconnection network becoming the system bottleneck. Therefore, in the future, scheduling strategies will have to take into account the communication requirements of the applications and the communication bandwidth that the network can offer. One of the key issues in these strategies is the task mapping technique used when the network becomes the system bottleneck.In this paper, we propose a communication-aware mapping technique that tries to match as well as possible the existing network resources to the communication requirements of the applications running on the system. Also, we evaluate the mapping technique using real MPI application traces with timestamps. Evaluation results show that the use of the proposed mapping technique better exploits the available network bandwidth, improving load balancing and increasing the throughput that can be delivered by the network. Therefore, the proposed technique can be used in the design of communication-aware scheduling strategies for those situations where the communication requirements lead the network bandwidth to become the system performance bottleneck.     

PANIC: an integrated approach to the preservation of composite digital objects using Semantic Web services

To date, long-term preservation approaches have comprised of emulation, migration, normalization, and metadata – or some combination of these. Most existing work has focussed on applying these approaches to digital objects of a singular media type: text, HTML, images, video or audio. In this paper, we consider the preservation of composite, mixed-media digital objects, a rapidly growing class of resources. We describe an integrated, flexible system that we have developed, which leverages existing tools and services and assists organizations to dynamically discover the optimum preservation strategy as it is required. The system captures and periodically compares preservation metadata with software and format registries to determine those objects (or sub-objects) at risk. By making preservation software modules available as Web services and describing them semantically using a machine-processable ontology (OWL-S), the most appropriate preservation service(s) for each object (or sub-object) can then be dynamically discovered, composed and invoked by software agents (with optional human input at critical decision-making steps). The PANIC system successfully illustrates how the growing array of available preservation tools and services can be integrated to provide a sustainable, collaborative solution to the long-term preservation of large-scale collections of complex digital objects.     

Replacement of computer bureaux

The flexibility of microprocessor system construction makes it inevitable that groups of microprocessors will form large scale computing devices emulating existing multiprocessor systems such as those used in computer bureaux. It is shown that it appears straightforward to set up a multimicroprocessor system to act as a time sharing or batch processing bureau. The shortage of software for microprocessor systems, compared to that available for existing bureaux, is the main obstacle to such a development.     

Design method of gain-scheduled controllers not depending on derivatives of parameters

In general, designing Gain-Scheduled (GS) controllers for Linear Parameter-Varying (LPV) systems using Parameter-Dependent Lyapunov Functions (PDLFs) yields controllers that depend on the derivatives of parameters. This makes their implementation impractical because ideal parameter derivatives are not available in the real world. In contrast to this, for open-loop system design, such as filter design and inverse system design, we propose a GS controller design method using PDLFs that gives controllers which do not depend on parameter derivatives. Although the proposed method uses structured PDLFs, we show that it is as conservative as existing methods. Numerical examples of designing GS filters and GS right inverse systems for LPV systems are included to demonstrate our conclusion.     

承造船厂军代表室的网络学习平台设计

为全面推进学习型党支部建设,不断提升代表室基层建设水平,从驻舰船总装厂军代表的业务工作和理论学习需求出发,利用现有的局域网网络环境和信息化技术,整合现有的学习资源,设计并搭建了一个可提供局域网内用户在线学习、考核和交流的网络学习平台系统,进一步完善了代表室的管理与考评制度,并加强了信息化建设。     

Global culture, local cultures and the internet: The Thai example

This paper addresses the questions of whether and, if so, how and to what extent the Internet brings about homogenisation of local cultures in the world. It examines a particular case, that of Thai culture, through an investigation and interpretation of a Usenet newsgroup, soc.culture.thai. Two threads of discussion in the newsgroup are selected. One deals with criticisms of the Thai government and political leaders, and the other focuses on whether the Thai language should be a medium, or perhaps the only medium, of communication in the newsgroup. It is found that, instead of erasing local cultural boundaries, creating a worldwide monolithic culture, the Internet reduplicates the existing cultural boundaries. What the Internet does, on the contrary, is to create an umbrella cosmopolitan culture which is necessary for communication among people from disparate cultures. That culture, however, is devoid of thick backgrounds, in Michael Walzer's sense.     

Discussion catalysts in online political discussions: Content importers and conversation starters

This study addresses 3 research questions in the context of online political discussions: What is the distribution of successful topic starting practices, what characterizes the content of large thread‐starting messages, and what is the source of that content? A 6‐month analysis of almost 40,000 authors in 20 political Usenet newsgroups identified authors who received a disproportionate number of replies. We labeled these authors “discussion catalysts.” Content analysis revealed that 95 percent of discussion catalysts' messages contained content imported from elsewhere on the web, about 2/3 from traditional news organizations. We conclude that the flow of information from the content creators to the readers and writers continues to be mediated by a few individuals who act as filters and amplifiers.     

Adapted user-dependent multimodal biometric authentication exploiting general information

A novel adapted strategy for combining general and user-dependent knowledge at the decision level in multimodal biometric authentication is presented. User-independent, user-dependent, and adapted fusion and decision schemes are compared by using a bimodal system based on fingerprint and written signature. The adapted approach is shown to outperform the other strategies considered in this paper. Exploiting available information for training the fusion function is also shown to be better than using existing information for post-fusion trained decisions.