An intelligent web-page classifier with fair feature-subset selection

The explosion of on-line information has given rise to many manually constructed topic hierarchies (such as Yahoo!!). But with the current growth rate in the amount of information, manual classification in topic hierarchies results in an immense information bottleneck. Therefore, developing an automatic classifier is an urgent need. However, classifiers suffer from enormous dimensionality, since the dimensionality is determined by the number of distinct keywords in a document corpus. More seriously, most classifiers are either working slowly or they are constructed subjectively without any learning ability. In this paper, we address these problems with a fair feature-subset selection (FFSS) algorithm and an adaptive fuzzy learning network (AFLN) for classification. The FFSS algorithm is used to reduce the enormous dimensionality. It not only gives fair treatment to each category but also has ability to identify useful features, including both positive and negative features. On the other hand, the AFLN provides extremely fast learning ability to model the uncertain behavior for classification so as to correct the fuzzy matrix automatically. Experimental results show that both FFSS algorithm and the AFLN lead to a significant improvement in document classification, compared to alternative approaches.     

Web型课件的开发与应用

分析了Web型课件的优点及功能，并针对Web型课件的开发和应用进行了初步研究。     

论坛消息的语义漂移分析

引入多维文档模型来组织论坛消息的描述性特征和语义性特征，并在多维索引的基础上，提出了加窗分析技术。目的在于分析论坛站点中语义漂移现象，进而发现论坛中的完整语义信息单元。     

Measuring consistency in TTL-based caches

We propose a general modeling framework to evaluate the performance of cache consistency algorithms. In addition to the usual hit rate, we introduce the hit^* rate as a consistency measure, which captures the fraction of non-stale downloads from the cache. We apply these ideas to the analysis of the fixed TTL consistency algorithm in the presence of network delays. The hit and hit^* rates are evaluated when requests and updates are modeled by renewal processes. Classical results on the renewal function lead to various bounds.     

Using Web resources to construct multilingual medical thesaurus for cross-language medical information retrieval

Due to the language barrier, non-English users are unable to retrieve the most updated medical information from the U.S. authoritative medical websites, such as PubMed and MedlinePlus. However, currently, there is no any cross-language medical information retrieval (CLMIR) system that can help Chinese-speaking consumers cross the language barrier in finding useful English medical information. A few CLMIR systems utilize MeSH (Medical Subject Headings) to help overcome the language barrier. Unfortunately, the traditional Chinese version of MeSH is currently unavailable.In this paper, we employ a semi-automatic term translation method to construct a Chinese–English MeSH by exploiting abundant multilingual Web resources, including Web anchor texts and search–result pages. Through this method, we have developed a Chinese–English Mesh Compilation System to assist knowledge engineers in compiling a Chinese–English medical thesaurus with more than 19,000 entries. Furthermore, this thesaurus has been used to develop a prototypical system for cross-language medical information retrieval, MMODE, which can help consumers retrieve top-quality English medical information using Chinese terms.     

Web服务在信用信息工程中的应用

目前的社会信用信息工程中,许多的政府部门都建立了自己的信用信息数据库,但在政府各级部门数据库之间进行数据交流和共享存在着许多的问题,在许多地方,数据共享还是一片空白。Web服务技术是应用程序通过内联网或者因特网发布和利用软件服务的一种标准机制。利用WEB服务可以方便地实现不同系统之间的数据交换和集成。该文提出利用web服务技术来解决信用信息工程中的信息数据共享问题。并在此基础上提出利用WEB服务工作流技术将信用评估整合到电子商务过程,以实现可信用电子商务     

标准日本语网上教学系统的设计与实现

网络远程教育是网络技术与教育相结合的产物。本文介绍基于ASP／AD0网络数据库访问技术的适用于远程教学环境的《标准日本语》网上教学系统的设计思想及部分实现技术。     

中原油田深井大井眼段钻井液工艺

濮深8井是中原油田在西部洼陷南部寻找接替储量的一口重点深探井,也是中原油田第一口井深达6000m的超深井。分析了濮深8井钻井液的配备及维护和处理技术,得出深井大井眼段钻井液工艺技术存在以下问题:井眼大,钻井液量及钻屑量多,处理时间长,处理剂用量多,处理频繁;返速低使钻井液清洗井眼的能力减弱;井下温度高使处理剂的作用明显降低,二氧化碳的侵入使钻井液性能变差。钻井液维护处理的较好方法是定时、定量补充处理剂胶液。固相控制是深井大井眼段钻井液工艺中的关键问题,必须配套并且有效地使用固控设备,以维护好钻井液性能。     

华北油田鄚东地区深井钻井液技术

鄚东地区钻井过程中经常发生垮塌、卡钻、井漏等复杂事故。该地区深井钻井采用了抑制性及封堵性较强的铵基沥青树脂高密度钻井液体系,并根据地层特点,对不同井段制定了相应的钻井液维护处理措施。结果表明,该钻井液体系抑制性好,抗温、抗污染能力强,性能稳定,成功地控制了复杂事故的发生,满足了该地区深层钻井的要求。     

Deep levels,electrical and optical characteristics in SnTe-Doped GaSb Schottky Diodes

The GaSb layers investigated were grown directly on GaAs substrates by molecular beam epitaxy (MBE) using SnTe source as the n-type dopant. By using admittance spectroscopy, a dominant deep level with the activation energy of 0.23-0.26 eV was observed and its concentration was affected by the Sb₄/Ga flux ratio in the MBE growth. A lowest deep-level concentration together with a highest mobility was obtained for GaSb grown at 550°C under a Sb₄/Ga beam equivalent pressure (BEP) ratio around 7, which should correspond to the lowest ratio to maintain a Sb-stabilized surface reconstruction. In the Hall measurement, an analysis of the temperature-dependent mobility shows that the ionized impurity concentration increases proportionally with the sample’s donor concentration, suggesting that the ionized impurity was introduced by an SnTe source. In addition, optical properties of an undoped p-, a lightly and heavily SnTe-doped GaSb layers were studied by comparing their photoluminescence spectra at 4.5K.