A Proposal for Implementing Multi-User Data Base (MUD) Technology in and Academic Library

Multi-user Data base (MUD) technology, and its object-oriented descendant (MOO), is one of the most exciting tools to surface on the Internet, and offers libraries and librarians a unique opportunity to participate in creating user-friendly standardized interfaces to many of our most frequently used resources. These resources include those we access through the Internet already, using gopher, telnet, WWW, and FTP, and also those proprietary databases that we currently access through leased lines such as OCLC First Search, Prism, DIALOG, and many others. MOO technology is already being used successfully to create user-extensible collaborative professional environments for educators, astronomers, and computer network systems administrators. With the growing relevance of the Internet for libraries and other information professionals, it behooves the library community to engage those emerging technologies which will aloow us to interface most effectively with the Internet and its many resources, with the proprietary databases which we depend on, and with one another.     

Retrieval Of Morphological Variants In Searches Of Latin Text Databases

This paper reports a detailed evaluation of the effectiveness of a system that has been developed for the identification and retrieval of morphological variants in searches of Latin text databases. A user of the retrieval system enters the principal parts of the search term (two parts for a noun or adjective, three parts for a deponent verb, and four parts for other verbs), this enabling the identification of the type of word that is to be processed and of the rules that are to be followed in determining the morphological variants that should be retrieved. Two different search algorithms are described. The algorithms are applied to the Latin portion of the Hartlib Papers Collection and to a range of classical, vulgar and medieval Latin texts drawn from the Patrologia Latina and from the PHI Disk 5.3 datasets. The effectiveness of these searches demonstrates the effectiveness of our procedures in providing access to the full range of classical and post-classical Latin text databases. This revised version was published online in July 2006 with corrections to the Cover Date.     

Memory Management for Real-Time Java: An Efficient Solution using Hardware Support*

This paper addresses the issue of improving the performance of memory management for real-time Java applications, building upon the real-time specification for Java (RTSJ) from the Real-Time Java Expert Group. In a first step, a collecting dynamic memory solution including both a real-time garbage collector and region-based memory management, is proposed. A thorough analysis of the parameters influencing the performance of write barriers in memory management, together with ways of improvement are then presented. Finally, the implementation of a memory management solution compliant with the RTSJ and integrating the proposed improvements is sketched.     

智能卡话者确认系统的研究

介绍了一个将参考模板存放在智能卡上的与相关的话者确认系统及其工作原理、相关算法和参数设置。     

一种简单易行的运动对象分割方法

在兼顾运动图像分割效果和实时性的原则上,提出了一种简单有效的分割方法。首先利用二次帧差的方法求出图像帧的运动区域,去除结果中不准确的小区域,最后利用二次扫描的方法填充该区域。实验证明：利用该方法得到了较好的分割效果并节省了处理时间。     

Thermal comfort standards for air conditioned buildings in hot and humid Thailand considering additional factors of acclimatization and education level

This paper presents the result of a large thermal comfort survey conducted using 1520 Thai volunteers from different climatic regions of Thailand. The survey was conducted using different types of air-conditioned buildings from the private and public sectors.Apart from common thermal comfort factors such as air dry bulb temperature, relative humidity and air velocity, two non-quantifiable factors were considered. These are the acclimatization to the use of air conditioner at home and the education level, i.e., post graduate, graduate and scholar. A general database for thermal comfort studies in Thailand was created, and different thermal comfort standards were developed for the three climatic regions of Thailand. Twenty six degree Celsius and 50–60% relative humidity could be used as a comfortable environment condition for the whole country. The data was then used to generalize an earlier concept we developed for setting thermal comfort standard using data from non air-conditioned buildings.     

Chemical composition of melia volkensii gurke: An unrealised browse potential for semi-arid agroforestry systems

Results of chemical analyses of some nutritional characteristics of Melia volkensii browse, important for large wild and domestic herbivores in East Africa, are presented. Seeds, fruit pulp, leaves and twigs had high levels of crude protein, crude fat, minerals and fibre. Newly coppiced shoots (leaves and twigs), old shoots, fruit pulp and seed contained 230, 190, 130 and 320 g kg^-1 dry weight crude protein, respectively. The essential amino acid profile compared well with the FAO scoring pattern. Tyrosine was the first limiting amino acid in the coppice leaves and twigs, lysine in the cotyledons, and threonine and lysine in the endosperm. The concentrations of crude fat in the seed, fruit pulp, coppice shoots and old shoots were 480, 100, 80 and 50 g kg^-1, respectively. The fatty acids in the cotyledon and endosperm were mainly palmitic (110 and 109 g kg^-1, respectively), oleic (327 and 252 g kg^-1, respectively) and linoleic (487 and 573 g kg^-1, respectively). The levels of P, Na, K, Ca, Mg and the Ca/P ratio per kg dry weight were on average higher than the optimum recommended for ruminants. These results demonstrate that M volkensii browse, especially coppice leaves and twigs, have a high index for nutrient content, and the planting of this species should be promoted in the semi-arid areas to supplement senescent grasses and cereal crop residues.     

面向离散文本舆情分析的分聚类方案

离散文本已经成为一种占据重要地位的舆情信息表现形式,根据离散文本的特点,提出基于特征概念网的离散文本舆情信息的分聚类框架,在此基础上给出分聚类方案。在聚类算法中,运用了遗传算法的全局并行搜索能力、k—means的高效局部聚类能力和小生境的保持种群多样性抑制漂移能力;在分类算法中,先将训练文本库进行类内聚类成子类,对子类构建特征概念网以生成替代该子类的文本,再用KNN算法进行分类。最后结合舆情分析进一步提出了可用的改进方案。     

弹性徐变体有限元分区异步长算法

本文提出在弹性徐变体有限元分析中采用分区异步长算法，即在局部范围内采用小步长，而在其余广大范围内，采用大步长，从而使计算得到简化。     

关联挖掘下的海量文本信息深入挖掘实现

研究基于关联度挖掘的海量网络文本挖掘方法;随着计算机和网络技术的快速发展,网络上的文本呈现海量增长的趋势,传统的网络文本挖掘方法采用基于特征提取的方法实现,能够实现小数据量下的文本挖掘,但是在信息量的快速增长下,传统方法已经不能适应;提出一种基于关联度挖掘的海量网络文本挖掘方法,首先采用特征提取的方法对海量文本进行初步的分类和特征识别,然后采用关联度挖掘的方法对各个文本特征之间的关联度进行计算处理,根据关联度的大小最终实现文本挖掘,由于关联度可以很好的体现特征文本之间的相互关系;最后采用一组随机的网络热门词汇进行测试实验,结果显示,算法能够很好适应海量文本下的挖掘实现,具有很好的应用价值。