CIMS环境下设备管理信息系统的研究和开发

根据CIMS环境下设备管理的特点,运用UML和IDEFO方法相结合的方式对设备管理信息系统结构、功能进行了分析研究,并且确立了系统与其他系统间的集成关系.通过采用成熟的组件、ADO和工作流技术实现了该系统的开发,为CIMS环境下企业的发展提供了一种切实可行的工具.     

Graph-based Lexicalized Reordering Models for Statistical Machine Translation

Lexicalized reordering models are very important components of phrasebased translation systems.By examining the reordering relationships between adjacent phrases,conventional methods learn these models from the word aligned bilingual corpus,while ignoring the effect of the number of adjacent bilingual phrases.In this paper,we propose a method to take the number of adjacent phrases into account for better estimation of reordering models.Instead of just checking whether there is one phrase adjacent to a given phrase,our method firstly uses a compact structure named reordering graph to represent all phrase segmentations of a parallel sentence,then the effect of the adjacent phrase number can be quantified in a forward-backward fashion,and finally incorporated into the estimation of reordering models.Experimental results on the NIST Chinese-English and WMT French-Spanish data sets show that our approach significantly outperforms the baseline method.     

SQL查询语句优化方法的研究

介绍RDBMS优化器的执行策略和分析了影响SQL查询效率的因素的基础上 ,提出了优化SQL查询效率的基本方法 ,以提高数据库查询的执行效率。     

抽水蓄能机组微机调速器的研制

根据抽水蓄能机组的运行与控制特点,介绍了一种以ＩＰＣ（工业控制ＰＣ机）及其系列模板作为硬件设计基础,选用Ｃ语言作为软件编程语言,采用ＣＲＴ和菜单操作技术构造良好人机接口界面的抽水蓄能机组调速器,阐述了其硬件和软件设计思想,并对系统可靠性作简要分析。     

C++语言异常处理机制

对C＋＋语言的异常处理机制进行了比较详细的分析和研究，包括语法特征、动态性质、实现中的问题以及它们可能造成的影响等。     

多媒体英语教学中的文化教育

教师的英语文化素养在教学中的地位十分重要,多媒体英语教学中要传授充分的英语文化信息,要培养学生具有良好的英语国家文化意识,教师就应当具备对英汉两种语言文化的理解力.深入细致地了解我国和英语国家文化,通过学习和结交外国朋友等手段来了解外国文化,不断地提高自身文化修养,为改善英语文化教学积极创造条件.     

如何合理构建Web Server

本文对Webserver的构建进行深入浅出的剖析,指导您搭建自己的Web服务器。在您实际的构建过程中,可能遇见这样或那样的问题,但只要严格的遵循上面的规则,相信您的WEB服务器一定搭建很成功的。     

开发在Autocad环境下检测及修改声学仿真模型的命令

介绍了Autolisp语言的基本语法和Autocad图形中3DFACE实体数据表内容，阐明了几个在Autocad环境下检测及修改计算机声学仿真模型的命令的编写原理和方法，并用一个具体实例验证了这些命令。     

Taylor 四相码信号及其模糊图的绘制

介绍了Taylor四相码信号的特点及其研究现状，运用模糊函数的卷积算法，通过MatIab语言计算并绘制出了其三维立体模糊图，制作了ξ切面图、τ切面图和模糊度图，并给出了绘制方法。     

Toward Robust Speech Recognition and Understanding

The principal cause of speech recognition errors is a mismatch between trained acoustic/language models and input speech due to the limited amount of training data in comparison with the vast variation of speech. It is crucial to establish methods that are robust against voice variation due to individuality, the physical and psychological condition of the speaker, telephone sets, microphones, network characteristics, additive background noise, speaking styles, and other aspects. This paper overviews robust architecture and modeling techniques for speech recognition and understanding. The topics include acoustic and language modeling for spontaneous speech recognition, unsupervised adaptation of acoustic and language models, robust architecture for spoken dialogue systems, multi-modal speech recognition, and speech summarization. This paper also discusses the most important research problems to be solved in order to achieve ultimate robust speech recognition and understanding systems. Dr. Sadaoki Furui is currently a Professor at Tokyo Institute of Technology, Department of Computer Science. He is engaged in a wide range of research on speech analysis, speech recognition, speaker recognition, speech synthesis, and multimodal human-computer interaction and has authored or coauthored over 450 published articles. From 1978 to 1979, he served on the staff of the Acoustics Research Department of Bell Laboratories, Murray Hill, New Jersey, as a visiting researcher working on speaker verification. He is a Fellow of the IEEE, the Acoustical Society of America and the Institute of Electronics, Information and Communication Engineers of Japan (IEICE). He was President of the Acoustical Society of Japan (ASJ) from 2001 to 2003 and the Permanent Council for International Conferences on Spoken Language Processing (PC-ICSLP) from 2000 to 2004. He is currently President of the International Speech Communication Association (ISCA). He was a Board of Governor of the IEEE Signal Processing Society from 2001 to 2003. He has served on the IEEE Technical Committees on Speech and MMSP and on numerous IEEE conference organizing committees. He has served as Editor-in-Chief of both Journal of Speech Communication and the Transaction of the IEICE. He is an Editorial Board member of Speech Communication, the Journal of Computer Speech and Language, and the Journal of Digital Signal Processing. He has received the Yonezawa Prize and the Paper Awards from the IEICE (1975, 88, 93, 2003), and the Sato Paper Award from the ASJ (1985, 87). He has received the Senior Award from the IEEE ASSP Society (1989) and the Achievement Award from the Minister of Science and Technology, Japan (1989). He has received the Technical Achievement Award and the Book Award from the IEICE (2003, 1990). He has also received the Mira Paul Memorial Award from the AFECT, India (2001). In 1993 he served as an IEEE SPS Distinguished Lecturer. He is the author of “Digital Speech Processing, Synthesis, and Recognition” (Marcel Dekker, 1989, revised, 2000) in English, “Digital Speech Processing” (Tokai University Press, 1985) in Japanese, “Acoustics and Speech Processing” (Kindai-Kagaku-Sha, 1992) in Japanese, and “Speech Information Processing” (Morikita, 1998) in Japanese. He edited “Advances in Speech Signal Processing” (Marcel Dekker, 1992) jointly with Dr. M.M. Sondhi. He has translated into Japanese “Fundamentals of Speech Recognition,” authored by Drs. L.R. Rabiner and B.-H. Juang (NTT Advanced Technology, 1995) and “Vector Quantization and Signal Compression,” authored by Drs. A. Gersho and R. M. Gray (Corona-sha, 1998).