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Stephen Wayne Soliday (Selected Publications)

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Hybrid Fuzzy-Neural Classifier for Feature Level Data Fusion in LADAR Autonomous
Target Recognition

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This paper will discuss the design of a hybrid fuzzy-neural classifier
for fusion of range and intensity channels coming from a LADAR sensor.
Fusion was performed on a feature rather than pixel level. Results will
be compared between ATR performance with and with out fusion. Also, discussed
in this paper is the use of genetic algorithms for the training and optimization
of the ATR system with a limited set of ground truth.

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Soliday, Stephen W. and Perona, Melissa T. and McCauley, Daniel G., Proceedings
for *Automatic Target Recognition XI*, Jul 2001, ISBN 0-8194-4074-4

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A Genetic Algorithm Model for Mission Planning and Dynamic Resource Allocation
of Airborne Sensors

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Genetic Algorithms (GA) have been very successful in combinatorially--explosive
problems such as; Job Shop Scheduling, Non-linear Transportation Model,
and the Traveling Salesman Problem. The problem of mission planning for
large numbers of airborne platforms contains elements of all three of these
classic GA problems. This paper will outline the application of genetic
algorithms to mission planning and dynamic allocation of airborne sensors.
An experiment will consist of a mission simulation containing (n) airborne
sensors in different locations and states of readiness, and (m) requests
for imagery with varying mission priorities. The GA will match sensors
with requests in order to minimize the cost and time--line and maximize
the execution of high priority requests. Results of simulation will be
discussed.

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Soliday, Stephen W., *National Symposium on Sensor and Data Fusion*,
Applied Physics Lab., Laural, MD, May 1999

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Genetic Algorithm Approach to the Search for Golomb Rulers

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The success of genetic algorithm in finding relatively good solutions to
NP-complete problems such as the traveling salesman problem and job-shop
scheduling problem provided a good starting point for a machine intelligent
method of finding Golomb Rulers. These rulers have been applied to radio
astronomy, X-ray crystallography, circuit layout and geographical mapping.
Currently the shortest lengths of the first sixteen rulers are known. The
nature of NP-complete makes the search for higher order rulers difficult
and very time consuming. While the shortest lengths for each order are
important as a mathematical exercise, finding relatively short high order
valid rulers has a more important impact on real world applications. Genetic
algorithm has shown good results in finding usable Golomb Rulers in minutes
or hours instead of weeks or months.

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Soliday, Stephen W. and Homaifar, Abdollah and Lebby, Gary L.,
*Genetic
Alogorithms: Proceedings of the Sixth International Conference on Genetic
Algorithms*, University of Pittsburgh PA, vol: 1, pp 528-535, Morgan
Kaufman, July 1995, ISBN: 1-55860-370-0

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Fuzzy Controller for Two Wheel Independent Drive Pivot Steering Vehicle

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A description for a vehicle consisting of two independently driven drive
wheels and one free wheeling castor is given. The equations of motion are
derived using Lagrange's equations and a model is developed using Runge-Kutta
numerical integration. A fuzzy controller is then developed to control
both the speed and direction of the vehicle. The parameters of the discourse
sets for the fuzzy controller were optimized using a primitive form of
Genetic Algorithm. Results of the controller's performance are discussed.

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Soliday, Stephen W., *First Industry/Academy Symposium on Research for
Future Supersonic and Hypersonic Vehicles*, vol: 1, pp 106-111, TSI
Press Series, Dec 1994, ISBN: 0-9627451-8-9

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Programmable Transfer Functions for Neural Networks

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Implementing neural networks in the computational environment of computing
requires a careful analysis of loop optimization. The transfer function
of the network's processing elements, and their associated derivatives,
should be designed in such a way that it is both fully programmable and
contain as few in-loop floating point operations as possible. The purpose
of this discussion is to analyze some of the well behaved transfer functions
traditionally used in fully interconnected networks, and to derive a faster
transfer function that meets the above requirements.

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Soliday, Stephen W., *First Industry/Academy Symposium on Research for
Future Supersonic and Hypersonic Vehicles*, vol: 1, pp 142-147, TSI
Press Series, Dec 1994, ISBN: 0-9627451-8-9