Martha J. Farah.

Recognizes Martha J. Farah for rigorous empirical and theoretical analysis of visual cognition, in which understanding of normal function and analysis of neurological deficits illuminate and strengthen one another. Applying diverse experimental techniques within an integrated approach to the study of mind and brain, she has sharpened and helped to answer fundamental questions about how humans generate and manipulate visual images, recognize objects, and attend to positions in space. Along with a citation, a biography is presented for Farah, as well as a bibliography of her works. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

连续语音识别系统性能评估软件

本文介绍了以一种比较两个句子的新的有效算法为基础而编制的连续语音识别系统性能评估软件，它通过比较连续语音识别系统输出的若干句子和相应的标准句子，得到系统性能的定量数据。该软件的可靠性得到大量实验验证。     

基于极化不变量的飞机目标识别

基于宽带毫米波极化雷达体制背影，通过极化不变量之一的去极化系数，研究了飞机目标的极化散射特性，并提取了极化特征，设计了飞机目标的分类或识别器结构，它能对五种飞机目标进行有效的分类或识别。     

低速爆轰管对黑火药的点传火性能研究

文章采用中心点火管结构的实验装置研究了黑火药的点传火性能。用低速爆轰 (L VD)中心点火管来点燃黑火药时 ,1# ～ 3# 大粒黑药的传火速度为 70 0 m· s-1～ 80 0 m· s-1数量级 ,燃烧波宽度在 3.1ms～ 3.5 ms,最大压力峰值 :1# 为 36 .4 MPa,2 # 为 2 4 .0 MPa,3# 为 38.0 MPa。用普通中心点火管点燃黑火药时 ,2 # 、3# 和钝化 2 # 大粒黑的传火速度分别为 6 1.2 m· s-1、6 8.2 m·s-1和 4 0 .1m· s-1,最大燃烧波宽度分别为 9.2 ms、6 .3ms和 9.5 ms。燃烧波表明 ,L VD中心传火管与普通中心传火管相比较 ,在传火管的不同位置处 ,前者的 P- t曲线一致性远高于后者。     

实用语音传感器

介绍了利用MCS-96单片计算机构成实用语音传感器的电路设计方案和配合该系统研究的语音识别方法以及实验结果等。     

色心激光器及其发展

色心激光器由于其特殊的调谐范围及单频、窄线宽的工作特点,可作为高分辨率的分光仪的理想窄带光源而用于分子振动一转动跃迁的研究,在光纤通信、超高速现象的研究等方面也有其独特的应用。本文叙述色心的构造及其特点,色心激光器的泵浦及泵浦的最佳化,调谐方式及新调谐范围的进展,单频、窄线宽运行的实现、激光脉冲的压缩等。最后指出色心激光器的发展方向和可能的应用。     

Word recognition: From letters to meaning.

Reviews the book, Basic Processes in Reading Visual Word Recognition by Derek Besner and Glyn W. Humphreys (see record 1990-99017-000). While there has been an increase in the amount of work on many different aspects of reading, as Besner and Humphreys point out in the overview to their book, the vast majority of the research on the topic of reading in the past twenty years has been concerned with the processes involved in word recognition. For this reason, Besner and Humphreys have attempted to bring together studies on topics which are both relevant to current debates in the field of word recognition, and which are likely to be important for future developments in the field. They have compiled an edited volume consisting of their overview and eight additional chapters. The editors have attempted to span the continuum of processes involved in word recognition and thus have included chapters which cover topics ranging from the visual analysis of words, to those on the influence of semantic factors on word recognition. The authors of these chapters comprise an impressive list of researchers in the field of word recognition, with the majority of chapters being authored by leading researchers on the topic. Given the stature of the authors and the range of topics covered, in theory this volume should provide a very thorough overview of current theory and research on reading. There is no question that each of the chapters is interesting and important in its own right. However, in practice the volume as a whole fell somewhat short of my expectations. The different tacts taken by different authors has resulted in a very uneven coverage of the current debates in the field. Notwithstanding these criticisms, I am sure that the majority of researchers in this field will consider this volume to be an important contribution. The book would provide a very useful addition to graduate courses in cognitive sciences and as a supplemental text for an undergraduate course on the psychology of reading. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

中国爆破安全网

中国爆破安全网是由中国工程爆破协会主办的涉爆行业信息专业网 ,开通于 2 0 0 3年 4月。该网是民爆器材生产流通主管部门、使用部门和公安机关实施联网监控和规范化管理的有力工具 ,最主要的功能是为涉爆行业管理部门和从业单位提供一个功能完善的管理和办公平台。该网的开通 ,有利于民爆器材生产、销售、购买、使用流向监控制度的贯彻实行。文章介绍了网络的组成、建设原则 ,并给出了中国爆破安全网网络拓扑图     

Learning-based dynamic coupling of discrete and continuous trackers

We present a data-driven dynamic coupling between discrete and continuous methods for tracking objects of high dofs, which overcomes the limitations of previous techniques. In our approach, two trackers work in parallel, and the coupling between them is based on the tracking error. We use a model-based continuous method to achieve accurate results and, in cases of failure, we re-initialize the model using our discrete tracker. This method maintains the accuracy of a more tightly coupled system, while increasing its efficiency. At any given frame, our discrete tracker uses the current and several previous frames to search into a database for the best matching solution. For improved robustness, object configuration sequences, rather than single configurations, are stored in the database. We apply our framework to the problem of 3D hand tracking from image sequences and the discrimination between fingerspelling and continuous signs in American Sign Language.