CFP: ICNN'97 Special Session on NN for Monitoring Complex Systems

[Amulya K. Garga]

			   CALL FOR PAPERS

Special Session on Neural Networks Applications for Monitoring Complex Systems
				at the
	     International Conference on Neural Networks 1997

			Westin Galleria Hotel
			    Houston, Texas
			    9-12 June 1997


SUBMISSION DEADLINE:
	30 November 1996.


ORGANIZER:
	Amulya K. Garga
	Applied Research Lab, The Pennsylvania State University
	garga at psu.edu


This session will consist of invited and submitted papers in the area of
Neural Networks Applications for Monitoring Complex Systems. We welcome
submissions describing applied work utilizing neural networks, fuzzy logic,
AI, or any other techniques relevant to the main themes of ICNN'97.

SUMMARY: 
In recent years, extensive neural networks research has focused on the
problem of monitoring complex systems. Applications include condition-based
maintenance for complex machinery (e.g., in which mechanical systems are
monitored to determine their current state and predict their remaining
useful life), monitoring of industrial processes, and medical applications
such as health monitoring and diagnosis. These applications involve the need
for pattern recognition, non-linear predictive modeling, representation of
imprecise information, implicit approximate reasoning. A number of
researchers have investigated the application of neural networks to these
problems.  These applications have proven to be particularly challenging
because of such factors as poor observability (e.g., low signal-to-noise
ratios), the need to identify so-called rare events (e.g., failure events),
multiple time-scale phenomena, the need to recognize context-based changes
to operating conditions, and the general lack of available training
data. The applications provide both a showcase for demonstrating the utility
of neural networks, as well providing unique challenges whose solutions
require advances in neural network theory and practice. Realistic solutions
require a multi-disciplinary approach involving physical modeling of
non-linear systems and of sensor technologies, multi-sensor data fusion,
statistical signal processing, and artificial intelligence methods. The
solution of these application problems should have international societal
impacts including improved safety for mechanical systems, reduced costs, and
the potential for improved health care through semi-automated monitoring and
diagnosis. To date this rapidly evolving research has only been reported in
specialized conferences without wide recognition or attention. Research is
being performed in many countries including the U.S., Canada, Japan,
Australia, and many European countries. This special session is important
and timely and is intended to provide a forum where the international neural
network community as well as to the application community can present
mutually applicable and beneficial contributions. In addition, the session
would provide the international research community with access to data sets
for future neural network research.

PAPER SUMISSION: 
Submissions need to conform to the format specified for ICNN'97: 

Six copies (one original and five copies) of the paper must be submitted.
Papers must be camera-ready on 8 1/2 by 11 white paper, one-column format in
Times or similar font style, 10 points or larger with one inch margins on
all four sides. Do not fold or staple the original camera-ready copy. Four
pages are encouraged; however, the paper must not exceed six pages,
including figures, tables, and references, and should be written in
English. Submissions that do not adhere to the guidelines above will be
returned unreviewed.

Centered at the top of the first page should be the complete title, author
name(s), and postal and electronic mailing addresses. In the accompanying
letter, the following information must be included:
    Full Title of the Paper 
    Technical Area (First and Second Choices) 
    Corresponding Author (Name, Postal and E-Mail Addresses, Tel. & FAX Nos) 

Your papers should be RECEIVED at the following address by 30 NOVEMBER 1996:

	Ms. Leanne Zindler
	Applied Research Laboratory
	The Pennsylvania State University
	P.O. Box 30
	North Atherton Street
	State College, PA 16804-0030, USA

	Phone: +1 814-863-4344

If you have already submitted a relevant paper in response to the original
ICNN'97 call for papers, please notify the ICNN'97 technical program
coordinator (Prof. J. M. Keller, keller at ece.missouri.edu) that you would
like to be considered for this session.

PAPER REVIEW:
The papers will undergo a review process similar to the other papers being
considered for ICNN'97. Accepted papers will also appear in the proceedings
of the ICNN'97.


TIMETABLE:
Paper sumission:	30 November 1996
Review complete:	2 January 1997
Revised sumission:	1 February 1997



ICNN'97 is sponsored by: IEEE Neural Network Council (NNC) and
International Neural Network Society (INNS).

URLs:
This CFP:  http://wisdom.arl.psu.edu/People/akg/NNMonCS.html

ICNN'97:   http://www.eng.auburn.edu/department/ee/ICNN97/icnn.htm
	   http://www.mindspring.com/~pci-inc/ICNN97/
	   http://wwweng.uwyo.edu/icnn97/
IEEE NNC:  http://www.ieee.org/nnc/
INNS: 	   http://cns-web.bu.edu/inns/

-- 
Amulya K. Garga, Ph.D.        | Email: garga at psu.edu
Applied Research Laboratory   | http://wisdom.arl.psu.edu/People/Amulya_Garga
P.O. Box 30                   | Phone: 814-863-5841      Fax: 814-863-0673 
State College, PA 16804-0030  |