汇编语言程序设计课程的教学探讨

本文针对目前汇编语言程序设计课程教学过程中存在的一些问题,提出以Linux环境下汇编语言的程序设计为内容,以386体系结构实模式下的系统Bootloader引导以及保护模式下的多任务机制为核心,将操作系统中部分与汇编语言程序设计相关的重要内容引入到课程当中,对汇编语言程序设计课程的教学进行改革,在探讨改革方向和意义的基础上,对汇编语言程序设计课程的教学内容、教学方法、实验内容以及实验方法等提出了建议.     

算术运算的VHDL描述方法探讨

针对在VHDL语言教学过程中,如何进行算术运算的VHDL描述问题进行了探讨.文中首先论述了VHDL语言描述算术运算的局限性;重点阐述了加运算、减运算、乘运算、除运算、取模运算、取余运算的VHDL描述方法;由于设计的结果是一个专用的算式电路,不运行任何程序,工作的可靠性和稳定性都优于用CPU设计.     

基于FPGA的材料缺陷测量信息处理方法的研究

针对交联聚乙烯(XLPE)材料经CCD模块输出信号的特点,应用FPGA进行数据处理,以提高XLPE杂质检测的精确度和速度.模拟信号经A/D转换后输入至FPGA,经阈值计算单元,比较器单元和数据封装单元实现了材料杂质信息及其位置信息的有效提取.给出了仿真结果,验证了该方法的实时性和准确性.     

汉语大词汇量连续语音识别系统研究进展

本文综述了近年来大词汇量连续语音识别技术进步和发展,描述了大词汇量连续汉语语音识别系统的设计方法.对语音识别系统中的一些关键技术和原理进行了详细地分析和讨论,并对语音识别技术进一步发展中存在的问题和近年语音识别研究发展动向进行了讨论.     

基于COSIM的定性定量集成建模方法

定性建模技术相比定量建模技术能更加准确地描述复杂系统中的混沌性、不确定性和不可预测性。为全面系统地描述定性定量复杂系统,将定性建模技术跟定量建模技术相结合,提出一种基于多学科虚拟样机建模仿真理论(COSIM)的集成建模方法。在此基础上引入基于置信规则的定性知识和定性接口的描述,提出了集成建模的层次化模型结构的形式化表示方法;同时,基于对仿真系统中定性推理和定量解算的统一调度,给出了一种定性定量协同求解方法,最后,通过对UMl建模语言的扩展,提出了集成建模语言。通过设计并实现鱼雷规避仿真系统,验证了该建模方法的有效性。     

基于Bert预训练模型的虚假新闻文本检测

虚假新闻剥夺了人们获取真相的权利,也给社会和国家带来了许多危害。文中以虚假新闻文本为例,分析和验证了多种预训练语言模型在虚假新闻文本分类上的分类效果。经实验证明,相较于其他语言模型,Bert预训练语言模型取得了较好的结果,预测准确率为86.97%,召回率为88.12%,F1值为87.54%。     

数据库语言SQL标准演变分析

介绍了ISO/IEC 9075“信息技术数据库语言SQL”标准20多年的演变过程,并对其发展过程中影响力较大的4个版本(SQL92、SQL99、SQL2003和SQL2008)的差异进行了分析.SQL标准的发展演变主要体现在标准结构、分级方式和“非核心级”标准内容上,标准的“核心级”部分自SQL92以来未发生太大的变化.     

基于新的整型9/7小波变换的硬件设计

提出了基于新的整型9/7小波变换的硬件设计方案.整个系统采用流水结构,充分利用硬件存储资源,实现了行列变换的并行处理.同时把常系数乘法优化为较少次数的移位加操作,加快了运算速度,缩小了电路规模.采用VHDL语言对系统进行描述并在Quartus Ⅱ 5.0环境下仿真,经验证满足图像实时处理的要求,为后续实时压缩编码和传输提供了有利条件.     

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).     

利用覆盖歧义检测法和统计语言模型进行汉语自动分词

该文探讨了利用覆盖歧义检测法和统计语言模型进行汉语自动分词的问题。采用了多次迭代的方法来进行汉语词层面统计语言模型的训练。该方法能够得到更优化的语言模型。该文详细介绍了统计语言模型的训练过程,给出了语言模型复杂度随迭代次数增加而减小的实验结果。还给出了在不同的统计语言模型阶数下切分正确率变化的情况,分析了切分正确率变化的原因。