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From: (Wuxu Peng)
Subject:  Industrial & Engineering Applications of Artificial Intelligence &
	Expert Systems (IEA/AIE-94) - Program & Registration Form
Date:     6 May 1994 16:40:55 -0500

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                              CONFERENCE ANNOUNCEMENT

        The Seventh International Conference on Industrial & Engineering
          Applications of Artificial Intelligence & Expert Systems

                May 31 - June 3, 1994, The Hyatt Regency
                 on Town Lake, Austin, Texas 78704, USA

 General Chair:
 Moonis Ali, Southwest Texas State University

 Program Chair:
 Frank Anger, University of  West Florida

 Program Co-Chair:
 Bernard Widrow, Stanford University

 Sponsored by:
   The International Society of Applied Intelligence
 Organized in Cooperation with:
   ACM/SIGART, American Association for Artificial Intelligence,
   Institution of Electrical Engineers, IEEE Computer Society, INNS/SIG,
   Canadian Society for Computational Studies of Intelligence, Institute
   of Measurement and Control, Japanese Society of Artificial Intelligence,
   Southwest Texas State Univ, European Coordinating Committee for
   Artificial Intelligence

     IEA/AIE-94 continues the tradition of emphasizing applications of
 artificial intelligence and expert/knowledge-based systems to engineering
 and industrial problems. Topics of interest include, but are not limited to:

  Computer Aided Design/Manufacturing  Natural Language Processing
  Dependability & AI/ES                Neural Networks
  Distributed AI Architectures         Pattern Recognition
  Expert & Diagnostic Systems          Planning & Scheduling
  Intelligent Databases                Practical Applications
  Intelligent Interfaces               Reasoning Under Uncertainty
  Intelligent Tutoring                 Robotics
  Knowledge Acquisition                Sensor Fusion
  Knowledge Representation             Intelligent Software Development Tools
  Machine Learning                     System Dependability
  Machine Vision                       Temporal and Spatial Reasoning
  Model-Based & Qualitative Reasoning  Verification & Validation

 The deadline for submissions of papers was November 5, 1993.  (Notification
 of the review process was be made by January 22, 1994, to the authors and
 final copies of papers were due to the Program Chair for inclusion in the
 conference proceedings by February 22, 1994.)

                          Dr. Moonis Ali
                          GENERAL CHAIR
                          Dept. of Computer Science
                          SW Texas State University
                          San Marcos,  TX 78666-4616, USA
                          Tele: (+1) 512 245-3409
                          FAX:  (+1) 512 245-8750

     Dr. Frank D. Anger                 Dr. Bernard Widrow
     PROGRAM CHAIR                      PROGRAM CO-CHAIR
     Dept. of Comp. Sci.                Dept. of Elect. Engin.(ISL)
     The University of W. Florida       Stanford University
     Pensacola,  FL 32514, USA          Stanford,  CA 94305-4055, USA
     Tele: (+1) 904 474-3022            Tele: (+1) 415 723-4949
     FAX:(+1) 904 474-3129              email:

 The proceedings will be published and will be available at the conference.
 Copies of the proceedings of earlier conferences are available - contact:

         Gordon and Breach Science Publishers
         Customer Service
         P.O. Box 786, Cooper Station
         New York, NY 10276;
         Tel.: 1-800-545-8398 (in USA only)
              (+1) 212-206-8900 Ext. 246
         Fax: (+1) 212-645-2459

 Program Committee:

 R Aylett, U Salford
 D Barschdorff, Paderborn U
 F Belli, Paderborn U
 J Brown, MCC
 W Bulko, IBM
 P Chung, Loughborough U
 M Dincbas, Cosytec
 P Fink, SW Research Inst
 R Fisher, AIAI Edinburgh
 G Forsyth, DSTO
 H Gill, Mitre Corp
 A Gonzalez, U C FL
 H Guesgen, U Auckland
 R Guha, U C FL
 C Howell, Mitre Corp
 R Inder, U Edinburgh
 J Kingston, AIAI, Edinburgh
 S Kirn, Westf. Wilhelms U
 R Leitch, Hariot-Watt U
 M Lenart, GesamtHS Kassel
 G Lovegrove, Staffordshire U
 M Magee, Univ WY
 M Matthews, Univ SC
 L Monostori, C&ARI
 J Pearl, UCLA
 W Potter, Univ GA
 F Radermacher, FAW Ulm
 A Rewari, DEC Maynard
 J Roach, VPI
 R Rodriguez, U W FL
 E Sandewall, Linkoping U
 J Schneider, U Hagen
 S Seidman, Auburn U
 S Sherman, DEC Maynard
 S Stoecklin, FAMU
 P Sydenham, U So Australia
 T Tanaka, Fukuoka IT
 E Wan, Stanford U
 A Whinston, UT Austin
 R Yager, Iona College
 H-J Zimmermann, RWTH

 Tutorial Chair
 R Rodriguez, U W FL

 Local Chair
 K Kaikhah, SW Texas State U

 Publicity Chair
 S Stoecklin, FAMU

 Exhibition Chair
 W Peng, SW Texas State U

 Registration Chair
 C Morriss, SW Texas State U

 Please mail the following to the General Chairman, Dr. Moonis Ali, at his
 above-listed address:

  - - - - - - - - - - - - - - - cut here - - - - - - - - - - - - - - - - -

 Please keep me on your mailing list, as I am interested in attending or
 receiving information on:
 _______ IEA/AIE-94		_______ IEA/AIE-95

 Name: ___________________________________________________

 E-Mail Address: _______________________________

 Full Postal Address: ______________________________________________________

 Telephone: __________________________ Fax Number: _________________________

   [] Please send me registration information (IEA/AIE-94)
   [] I wish to submit a paper (IEA/AIE-95)
                 IEA/AIE-94, Austin, TX - May 31/June 3, 1994

                         TUTORIAL & WORKSHOP PROGRAM

Tuesday Morning, May 31,1994

(W) WORKSHOP                8:30 - 12:30

Workshop on Formalisms for Representing
and Reasoning about Time
Organized by Helen Gill of Mitre Corp. and NSF, VA,
and Steve Seidman of Auburn University, AL

For over a decade, formal methods have been used with great
success to specify and verify concurrent and distributed systems.
In recent years, many research groups have extended these
methods to incorporate time and have used the timed methods to
model time-critical concurrent systems. An alternative approach
to specifying and verifying time-critical systems is based on
developing logics that explicitly incorporate time. The techniques
used to represent and reason about time in these formalisms are
quite varied. The papers included in this special session were
selected to provide an overview of a broad range of recent work
on timed models of concurrent systems. The session will end with
a discussion of current trends in this area by a panel of
distinguished researchers.

Papers will be presented by D. Clarke and I. Lee (University of
Pennsylvania); L. Dillon and Q. Yu, (University of California,
Santa Barbara); T. Henzinger and P. Ho (Cornell University); M.
Mislove (Tulane University); J. Quemada, D. de Frutos, and C.
Miguel (Universidad Politecnica de Madrid). and J. Tsai
(University of Illinois at Chicago).

The members of the panel are Rance Cleaveland (North
Carolma State University); E. A. Emerson (University of Texas).
A. Mok (University of Texas); G. M. Reed (Oxford University):
Stephen Seidman (Auburn University, moderator).

(TI) TUTORIAL.                 8:30 - 12:30

Introduction to Neural Networks
Given by
Khosrow Kaikhah of Southwest Texas State University

Neural Networks, or Artificial Neural Systems (ANS), are a
combinatlon of Biology, Mathematics, and Computer Science.
Neural Networks mimic the functionality of the human brain and
can be classified into three categories:

        a. Associative Memory Networks
        b. Supervised Learning Networks
        c. Unsupervised Learning Networks

The tutorial introduces some of the terminologies,
architectures, and advances in this field. Similarities and
differences between Neural Networks and the human brain will
be pointed out by focusing on several examples of each category.

Tuesday Afternoon, May 31,1994


Panel Discussion: R. Cleaveland, H. Gill, A. Emerson,
A. Mok, G.M. Reed, S. Seidman

(T2) TUTORIAL              1:30 - 5:00

Evolutionary Algorithms
Given by
Zbigniew Michalewicz of the
University of North Carolina, Charlotte

The tutorial will provide an overview of basic evolutionary
computation techniques and their applications.

During the last thirty years there has been a growing interest in
problem solving systems based on the principle of evolution.
Such systems maintain a population of potential solutions,
incorporate a selection process based on an extrinsically imposed
fitness of each individual, and include methods for creating
randomly perturbed variants of current trials. There is also a
growing interest in "non-standard" evolutionary computation
methods, as "pure" evolutionary computation techniques are
generally not the most successful optimization techniques.
Evolutionary methods have been successfully applied to a variety
of difficult problems, including numerical optimization, machine
learning, optimal control, cognitive modeling, classic operations
research problems, engineering design, robotics, and signal

(T3) TUTORIAL--             1:30 - 5:00

Mobile Robots -- Architectures, Issues
and Applications; A European View
Given by
Ruth Aylett of Salford University, UK

Assumed background: General familiarity with AI techniques.
Tutorial will

	. examine the major concepts and approaches in the field

	. give an overview of the main areas of controversy in the field

	. give an indication of the extent to which the technology
	  is being taken up in real applications

	. restrict itself to an overview of concepts and developments

Topics include: Introduction; A brief history from SHAKEY to
today; What are people aiming at? What must researchers
address? Links with other AI areas; Hierarchical, Behavioral. and
Hybrid Architectures; Issues; Applications

For further inforrnation regarding
IEA/AIE-94 tutorials, please contact:

Rita V. Rodriguez, Tutorials Chair, IEA/AIE-94
Department of Computer Science
University of West Florida
Pensacola, FL 32514 USA

EMail: FAX: (904) 474-3129



Wednesday June 1,1994

INVITED TALK                  8:30 9:30

Title: "Evolutionary Computation: A Personal Perspective"

Zbigniew Michalewicz
Computer Science Department
University of North Carolina, Charlotte

Thc talk provides the speaker's personal impression of the field
of evolutionary computation. Also an historical perspective will
be presented together with some hints on how to develop
successful evolutionary algorithsm.

The talk will be illustrated by several practical applications
(developed by the speaker) of evolutionary programming tech-
niques; tllese include mobile robot environment, transportation
problem, knapsack problem, and others.

(Wla) PLANNING                10:00 - 11:15

Hinkelmann, K.: A Consequence-Finding Approach for Feature
Recognition in CAPP

Lee, J.; Park, C.; Yoon, D.; Cho, H.: CASE-Based Block
Division Planning in Shipbuilding

Lim, S.; Chatwin, C.; Abdullah, H.: Self-Organizing
Compensating Information Scheduler (SOCIS) for Computer
Integrated Manufacturing

     AI INTERFACE 1           10:00 - 11:15

Belli. F.; Jack, O.: An Environment for Self-Testing of Logic

Castell, N.; Slavkova, O; Tuells, T.; Toussaint, Y.: Quality
Control of Software Specifications Written in Natural Language

Teh, S.; Daugherity, W.; Coulson, R.: A User-Centric
Methodology for Building Usable Expert Systems

(W2a) NEURAL NETWORKS              11:15 - 12:30

Chang, W.; Soliman, H.; Sung, A.: Fingerprint Image
Compression by a Clustering Learning Network

Jeyasurya, B.: Power System Voltage Instability Monitoring with
Artificial Neural Networks

Solak, M.; Peng, A.: An Algebraic Method to Evaluate Spatial
Stability in Image Processing Neuro Chips

Tsai, J-T.; Ho, T-L.: The Use of Neural Network to Predict
Welding Paramcters

Tumer, K.; Ghosh, J.: Sequence Recognition by Input

Al INTERFACE 2                     11:15 -12:30

Willis, C.; Paddon, D.: Program Synthesis

Yen, J.; Teh, S.; Lively, W.: Principled Modeling and Automatic
Classification for Enhancing the Reusability of Problem-Solving
Methods of Expert Systems

Azem, A.; Belli, F.: Reliability Prediction of Prolog Programs

(W3a) TEMPORAL REASONING           2:00-3:15

Anger, F.; Allen, J.; Rodriguez, R.: Optimal and Heuristic Task
Scheduling under Qualitative Temporal Constraints

Ligozat, G.: Temporal Reasoning Made Simpler

Mitra, D.; Loganantharaj, R.: An Efficient and Approximate
Algorithm for Temporal Reasoning

Piechowlak, S.; Rodriguez, J.: A Constraint Network Manager for

(W3b) MACHINE LEARNING 1           2:00 - 3:15

Chaudhry, A.; Holder, L.: An Empirical Approach to Solving the
General Utility Problem in Speedup Learning

Chen-Ellis, G.; McNamee, L.: ACTS: Adaptive Controls for
Tutorial Systems

Imam, Ibrahim F.: An Experimental Study of Discovery in Large
Databases by Partitioning the Learning Space

Lee, C.: Shin, D-G.: EEL: An Instance-Based Learning Method
for Databases

(W4a) KNOWLEDGE-BASED SYSTEMS-     3:45 - 5:00

Chang, H-M.: Relational Knowledge-Based System

Hoglund, G.; Valcarce, E.: The ESSENSE of Intrusion Detection:
A Knowledge-Based Approach to Security Monitoring and Control

Rajagopalan, R.; Kuipers, B.: The Figure Understander: A System
for Integrating Text and Diagram Input to a Knowledge Base

Schweiger, J.; Koller, A.: A Distributed Real-Time Knowledge
Base for Teams of Autonomous Systems in Manufacturing

(W4b) MACHINE LEARNING 2           3:45 - 5:00

Loganantharaj, R.; Prabhu, S.: Problem of Undergeneralization in
EBL and a Proposed Solution

Romaniuk, S.: Efficient Storage of Instances: The Multi-pass

Sen, S.: A Tale of Two Representations

Willis, C.; Paddon, D.: Machine Learning in Software Reuse

Thursday, June 2,1994

INVITED TALK                  8:30 - 9:30

Program Synthesis for Mathematical Modeling Applications
Elaine Kant, Senior Research Scientist
Schlumberger Laboratory for Computer Science
P.O. Box 200015, Austin , TX 78720-0015
phone: 512-331-3737  fax: 512-331-3760

Program synthesis techniques have been applied to
automatically generate mathematical modeling programs from
high-level specifications. Using the Sinapse system, a modeler
can specify a set of governing partial differential equations and
select solution algorithms from a set of finite difference methods;
the system then produces reasonably efficient implementations in
either Fortran77, Connection Machine Fortran or C. Sinapse
includes object knowledge bases, a simple planning system, and
transformation rules. Most of the examples have been simulations
of sonic wave propagation, but the system is designed for
expansion into other applications and algorithms.

Background information:

Dr. Elaine Kant received her undergraduate degree in
Mathematics from M.I.T. and her Ph.D. in Computer Science
from Stanford University. She is a Fellow of the American
Association for Artificial Intelligence. Elaine has been with
Schlumberger since 1985, currently as a Senior Research
Scientist, in the Modeling and Simulation group at the
Schlumberger Laboratory for Computer Science (in Austin,
Texas). Before joining Schlumberger, she was an assistant
professor of Computer Science at Carnegie-Mellon University.
Elaine's major research interests are in understanding and
supporting scientific problem solving and in understanding and
automating the design, implementation, and analysis of
algorithms and programs.

(Tla) INTELLIGENT DATABASES 1      10:00 - 11:15

MdSap, M.; McGregor, D.: A High-Level Query Language
Interface to Relational Databases: An Alternative Approach

Pitt, J.; Cunningham, J.; Kim, J-H.: Cooperative Answering to
Natural Language Email Queries

Stader, J.; Inder, R.; Chung, P.: Transforming Databases for

(Tlb) ROBOTICS                          10:00 - 11:15

Belli, F.; Pollmann, A.; Crisan, R.: Concurrent Logic/Object-
Oriented Multi-Robot Programming -- Case Study and
Performance Assessment

Milani, A.: Minimizing Sensors Task in Plan Monitoring

Mobus, G.; Fisher, P.: MAVRlC's Brain

(T2a) INTELLIGENT DATABASES 2      11:15 - 12:30

Katayama, N.; Takasu, A.; Adachi, J.: A Database with an
Explicit Semantic Representation

Taylor, P.: Semantic Nets/Frames and Relational Databases:
Further Study into Their Integration Aspects

Bhatia. S.; Sabharwal, C.: A Perfect Hash Function for Image


Chu, J.: Expert Systems in Mobil Oil Australia

Dai, W.; de Beler, M.; Rowles, C.: Intenema: An Intelligent Tool
for Telecommunication Network Maintenance

Holderfield, D.; Amos, R.; Clark, J.; Martin, B.: Development of
an Intelligent Process Planner for Laser Welding of Hermetic
Seals for High Performance Microelectronic Assemblies

Visser, U.; Voges, U.; Streit, U.: Integration of AI --, Database --
and Telecommunication-Techniques for the Plant Protection
Expert System PRO-PLANT.

(T3a) SEARCH TECHNIQUES            2:00 - 3:15

Parmee, I.; Johnson, M.; Burt, S.: Techniques to Aid Global
Search in Engineering Design

Rayne, C.; Jones, R.: Optimising Network Design for Micro-
Seismic/Acoustic Emission around Excavations of Arbitrary

Tang, M.; Peers, S.; Dharmavasan, S.: RISC, Development of a
Knowledge-based System for Offshore Platform Inspection

(T3b) GENETIC and
EVOLUTIONARY METHODS .                  2:00 - 3:15

Abbott, L.: Comparison of a Constraint Directed Scarch to a
Genetic Algorithm in a Scheduling Application

Lenart, M.; Pasztor, A.: How Much Design Knowledge is
Needed? An Evolutionary Paradigm

Potter, W.; Robinson, R.; Miller, J.; Kochut, K.; Redys, D.: Using
The Genetic Algorithm to Find Snake-ln-The-Box Codes

Kloske, S.; Smith, R.: Bulk Cable Routing Using Genetic

(T4a) QUALITATIVE REASONING        3:45 - 5:00

Ayeb. B.: On the Applicability of Model-Based Diagnosis:
Examining the Case of Multiple Observations

Ba, S.; Hinkkanen, A.; Whinston, A.: Data Representation and
Qualitative Optimization -- Some Issues in Enterprise Modeling

Purna, Y.; Yamaguchi, T.: Some Notions on Testing Generated
Fault Hypotheses

Xia, S. Qualitative Reasoning: Conceptually Modelling and
Analysing Engineering Systems

(T4b) DESIGN                            3:45 - 5:00

Belli. F.; Dreyer, J.: Systems Modelling and Simulation by
Means of Predicate/Transition Nets and Logic Programming

Kuehn, O.; Hoefling, B.: Conserving Corporate Knowledge for
Crankshaft Design

Leasure, D.; Araya, C.: Defaults and the Frame Law Applied to
Overconstrained Problems in Constraint-Based Design Systems

Lim, S., Chatwin, C.; Abdullah, H.: Knowledge Control
Modelling (KCM): The Bond Graph Unification Approach to
Design and Implementation of an Expert System for Intelligent
Industrial Laser Cutting

Yao, Z; Johnson, A.: Supporting Design Validation by Semantie

Friday, June 3,1994

INVITED TALK                  8:30 - 9:30

"The Human-Computer Interactive Aspects of Al"
Oscar N. Garcia
Program Director, Interactive Systems Program
Information, Robotics, and Intelligent Systems Division
National Science Foundation
Arlington, VA 22203

Presently on leave from:
Department of Electrieal Engineering and Computer Science
George Washington University
Washington, DC 20052

The field of artificial intelligence has developed broadly along
the lines of symbolic problem-solving approaches and trainable
connectionist or probabilistic approaches. The activity of the
human in the feedback loop, often neglected, has important
practical consequences as the interface makes possible a
synergistic guidance and complementarity between the best
capabilities in the biological and electronic systems. Some
aspects of this collaboration between human and machine, at the
interface, will be covered in this presentation.

(Fla) KNOWLEDGE REPRESENTATION          10:00 - 11:15

Garner, B.; Chen, F.; Anomaly Detection Modelling

Gonzalez, A.; Ahlers, R.: A Novel Paradigm for Representing
Tactical Knowledge in Intelligent Simulated Opponents

Lonsdale, D.; Franz, A.; Leavitt,J.: Large-scale Machine
Translation: An Interlingua Approach

(Flb) APPLICATION PARADIGMS             10:00 -11:15

Hammami, O.: A Novel Cache Management Using the A*

Piplani, R.; Talavage, J.: Conjunctive Coal Planning: An
Applicatlon to Manufacturing Control

Varner, V.; Huff, B.; Peterson, L.: The Application of the
Structure-Function Paradigm to Support the Modeling of
Reconfigurable Manufacturing Systems

RECOGNITION                   11:15 - 12:30

Lu. Y.: Integration of Knowledge in a Multiple Classifier System

Roe, A.; Roe, J.: The Application of Artificial Intelligent
Techniques to Naval ESM Radar Identification

Zargham, M.; Osone, T.: Application of Fuzzy Logic to the Field
of Medicine

(F2b) REASONING about
PHYSICAL SYSTEMS                        11:15 - 12:30

Best. L.; Stobart. R.; Magee, M.: Fiber Measurement Using
Digital lmage Processing

Calistri-Yeh. R.: Applying Blackboard Techniques to Real-Time
Signal Processing and Multimedia Network Management

Sandrasegaran, K.; Malowany, A.: An Integrated Fault Diagnosis
Methodology for Physical Systems

(F3a) PARALLEL and DISTRIBUTED Al            2:00 - 3:15

Avila, P.; Casals. A.: Toward a Distributed Network of Intelligent
Substation Alarm Processors

Baumgartner, J.; Cook. D.: A Genetic Algorithm for Load
Balancing in Parallel Computers

Nerur, S.; Cook, D.: A Hybrid Parallel-Window/Distributed Tree
Algorithm for Improving the Performance of Search-Related

Price, K.; Chang, K-H; Day, W.: DDL: A Parallel
Implementatlon of Prolog

(F3b) DIAGNOSTIC SYSTEMS                2:00 - 3:15

Fesq. L.; McNamee, L.: Does Observability Imply
Diagnosability ?

Guan, J.; Guan, Z.; Bell, D.: Evidential Reasoning and Evidence

Harding, W: A Knowledge Dictionary for Expert Systems and
Reorganization Techniques

Kamp, G.: AMS - a Case-Based Service Support System

A complete advance program for IEA/AIE-94 may be obtained by contacting
the Registration Chair, Mrs. Cheryl Morriss (information listed below).

                           CONFERENCE REGISTRATION

To expedite your registration, please use the conference registration
form.  The completed form and appropriate payment must be submitted
to the registration chair, Mrs. Morriss (see below).  Please make
checks payable to The International Society of Applied
Intelligence and return with the completed registration form to:

Mrs. Cheryl Morriss
Registration Chair, IEA/AIE-94
Department of Computer Science
Southwest Texas State Univcrsity
San Marcos, TX 78666-4616 USA
Telephone: (512) 245-3409
Fax: (512) 245-8750

For further assistance with registration, contact Cheryl Morriss
(above). Pre-registrants may pick up conference material at the
Conference Registration Desk at the Hyatt Regency on Town


Session Chairs, Program Committee Members,
Authors, Member of Cooperating Organizations
(includes registration and conference proceedings)                $375

(includes registration and conference proceedings)                $425

(includes registration but no proceedings;
student ID is requircd)                                           $165

Extra Conference Proceedings                                      $ 75

Tutorial/Workshop* Fees

 Half-Day Tutorial or Workshop                                    $150

 Two Half-Day Tutorials/Workshop                                  $200

Banquet (per person)
(includes dinner banquet and entertainment)                       $ 30

The conference banquet will take place in the Hyatt Regency on Town
Lake the evening of Thursday, June 2, 1994.

*  The workshop is limited to 30 participants. Participants giving workshop
presentations may waive the workshop fee by paying full conference
registration fee


May 31 - June 3 1994           I E A / A I E - 9 4             Austin,Texas

PLEASE PRINT                      Conference Registration Form
Name: _                  _

Business Affiliation:
Dept/Bldg/Mail Stop/etc.:

Address:   __
      Zip Code:

Telephone: (                 )
Fax: (  )

(Note that Check. Money Order. or Draft only in U.S. Currency on U.S. Bank
 Make Checks payable to "International Society of Apllied Intelligence")

a. Conference Fee                                            	$
b. Banquet Fee:       (Total number _________   )               $
c. Extra Proceedings: (Total number _________   )               $
d. Tutorial/Workshop Fees: Circle: W Tl T2 T3                   $
   TOTAL PAYMENT DUE                                            $

Department of Computer Science

If you wish to pay by credit card, please complete the following:

Select one:_VISA _Mastercard 	Expiration Date:  _ / _

Print name exactly as shown on card:

Card number:

Cardholder's signature:                             Date:
(signature required)

Please mail this form with enclosed remittance to:-

Mrs Cheryl Morriss
Registration Chair, IEA/AIE-94
Department of Computer Science
Southwest Texas State University
601 University Drive
San Marcos, TX 78666-4616 USA

Email: 		cm04@academia.swt.
Telephone: 	+1 (512) 245-3409:
Fax:		+1 (512) 245-8750


--wuxu peng (