automatic

SNePS is a logic- and network- based knowledge representation, reasoning, and acting system, based on a monotonic, paraconsistent, first-order term logic, with compositional intensional semantics. It has an ATMSstyle facility for belief contraction, and an

Automatic Belief Revision in SNePS CSE Technical Report 2000-01Stuart C. Shapiro and Frances L. JohnsonDepartment of Computer Science and Engineering and Center for Multisource Information Fusion and Center for Cognitive Science State University of New York at Bu alo 226 B

Abstract- Automatic speech segmentation is an essential tool for building large corpora for training speech recognition systems. Manual segmentation of speech is both time consuming and an error-prone task. Several automatic segmentation systems have been

Using Prosody in Automatic Segmentation of SpeechOssama Essa Computer Science Department University of South Carolina Columbia, SC 29208 essa@cs.sc.eduAbstract- Automatic speech segmentation is an essentialdetection of speech endpoints was used. The algorithm used both ener

A Novel Approach for Automatic Palmprint

Recognition

Murat Ekinci and Murat Aykut

Computer Vision Lab.

Department of Computer Engineering,

Karadeniz Technical University,Trabzon,Turkey

ekinci@666d2ebdf121dd36a32d8249.tr

Abstract.In this paper,we propose an e?cient palmprint recognition

scheme which has two features:1)representation of palm images by two

dimensional(2-D)wavelet subband coe?cients and2)recognition by a

modular,personalized classi?cation method based on Kernel Principal

Component Analysis(Kernel PCA).Wavelet subband coe?

A Complete Bibliography of Publications in Higher-Order

Symbolic Computation

Nelson H.F.Beebe

Center for Scienti?c Computing

University of Utah

Department of Mathematics,110LCB

155S1400E RM233

Salt Lake City,UT84112-0090

USA

Tel:+18015815254

FAX:+18015814148

E-mail:beebe@c368ef2fed630b1c59eeb583,beebe@c368ef2fed630b1c59eeb583,

beebe@c368ef2fed630b1c59eeb583(Internet)

WWW URL:c368ef2fed630b1c59eeb583/~beebe/

06July2005

Version2.00

Title word cross-reference 5[3].p[8].

-Calculus[8].

1960s[42].

Abstract[52,70,119].Abstraction[40]. Accumulating[1

SNePS is a logic- and network- based knowledge representation, reasoning, and acting system, based on a monotonic, paraconsistent, first-order term logic, with compositional intensional semantics. It has an ATMSstyle facility for belief contraction, and an

Automatic Belief Revision in SNePS CSE Technical Report 2000-01Stuart C. Shapiro and Frances L. JohnsonDepartment of Computer Science and Engineering and Center for Multisource Information Fusion and Center for Cognitive Science State University of New York at Bu alo 226 B

Automatic Adaptation of Tunable Distributed Applications

by

Fangzhe Chang

A dissertation submitted in partial ful?llment

of the requirements for the degree of

Doctor of Philosophy

Department of Computer Science

New York University

January2001

Research Advisors:

Vijay Karamcheti

c Fangzhe Chang

All Rights Reserved,2001

To my family for their support in all these years

iii

Acknowledgment

I am indebted to my family,which have given me strong support in all these years to pursue my own ambition.Special thanks to my advisors:Zvi M.Kedem and Vij

Abstract- Automatic speech segmentation is an essential tool for building large corpora for training speech recognition systems. Manual segmentation of speech is both time consuming and an error-prone task. Several automatic segmentation systems have been

Using Prosody in Automatic Segmentation of SpeechOssama Essa Computer Science Department University of South Carolina Columbia, SC 29208 essa@cs.sc.eduAbstract- Automatic speech segmentation is an essentialdetection of speech endpoints was used. The algorithm used both ener

This paper focuses on the use of Hidden Markov Models (HMMs) for structure analysis of sport videos. The video structure parsing relies on the analysis of the temporal interleaving of video shots, with respect to a priori information about video content an

AUTOMATICVIDEOSTRUCTURINGBASEDONHMMSANDAUDIOVISUAL

INTEGRATION

P.Gros(1),E.Kijak(2)andG.Gravier(1)

(1)

(2)

IRISA–CNRSIRISA–Universit´edeRennes1

CampusUniversitairedeBeaulieu35042RennesCedex,France

{Patrick.Gros,Ewa.Kijak,Guillaume.Gravier}@irisa.fr

ABSTRACT

Thispaperfocusesont

Abstract. A basic issue of mobile robotics is the automatic generation of environment maps. This paper presents novel results for the reconstruction of textured 3D maps with an autonomous mobile robot, a 3D laser range finder and two pan-tilt color cameras

AutomaticReconstructionofColored3DModels

KaiPerv¨olz,AndreasN¨uchter,HartmutSurmann,andJoachimHertzberg

FraunhoferInstituteforAutonomousIntelligentSystems(AIS)

SchlossBirlinghoven

D-53754SanktAugustin,Germany

{pervoelz,nuechter,surmann,hertzberg}@ais.fraunhofer.de

Abst

Automatic tooling design for rotary draw bending of tubes

旋转式管拉弯自动化模具设计

M. Strano，Università degli Studi di Cassino,

Dipartimento di Ingegneria Industriale,Cassino (FR), Italy

E-mail: m.strano@unicas.it

Tel.: +39-0776-*******

摘要：旋转式管件冷拉弯是一种在工业上广泛应用的计算机数字控制金属成形工艺。当规划一个新的加工工艺时，为了计算出适当的过度弯曲和避免起皱、过度变薄和扁平等失效，试验和错误往往是不可避免的。加工工艺设计是一个苛刻的、困难的、基于经验的过程，这对若干变量的选择有一定的要求。

本文提出了一种综合的、基于计算机的方法，即所谓的Tube ProDes法，用于管件旋转式拉弯的加工工艺设计。该方法可描述如下。首先，进行数值计算用以回弹补偿，评估弯曲的正确性（即发生缺陷的风险）和用以确定加工工艺对材料属性改变的敏感性。然后，根据管件材料特性，以弯曲的几何数据和先前计算的变量作为输入，通过模糊逻辑控制即可完全实现模具装置的设计。

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