6. SYSTEM EVALUATION
Two tests were performed to validate the
quality of the system. The first test was a
debugging test that the knowledge engineer was
performing during the whole stages of
developing the system. The second test was an
evaluation behavior of the system and its
quality. This was accomplished by processing
many consultation sessions on real problems.
These sessions were performed by regular
users. Then the same consultation session on
the same area is performed manually either by:
a) a human expert or b) knowledge engineer
who has ground truth data bout the area of
testing, without using the system.
The results of the two consultations (one by the
system and another by a human expert) were
compared. The results of four tests are
presented in Table 3. System interpretation and
human interpretation are compatible with an
average confidence of 84%.
7. CONCLUSIONS
The developed small system is a powerful one
that can be used for consultation purposes in
expansive soils. It can be applied in similar
region that have the same weather condition as
that of Tabouk.
The system was tested and found to be accurate
as a tool for shale and sandstone identification
as primary locations for expansive soils. Aerial
photographs and remote sensing play a great
role in the identification process.
The system can be extended to have the
provision of containing detailed design methods
of different foundations. The designs should fit
different cases based on different soil behavior,
structure sizes, and weather conditions.
8. REFERENCES
Al-Garni, A. 1992, Expert System For
Landform Interpretation Using Terrain Analysis
57
(EXLANT), Report No. 423, Ohio State
University, Graduate School, Columbus.
Al-garni, A. 1994. The Fourth Dimension in
Digital Photogrammetry. Photogrammetric
Engineering and Remote Sensing. Vol. 61,
No.1, pp. 57-62.
Al-Jawhra Est. Soil, Foundation, and
Materials. Tabouk Municipality office, Tabouk
City, Saudi Arabia.
Bowerman, R. and D. Glover, 1988. Putting
Expert System in Practice. Van Nostrand
Reinhold Company.
Carbone, G., S. Narumalani, and M. King,
1996. Photogrammetric Engineering & Remote
Sensing, Vol. 62, No. 2, pp. 171-179.
Cracknell, A. and L. Hayes, 1993. Introduction
to Remote Sensing. Taylor & Francis Ltd, 4
John St., London WCIN 2ET.
Curran, P.J., 1992, Principles of Remote
Sensing, Longman Scientific and Technical.
Hayes-Roth, F., D., Waterman, and D. Lenat,
1983. Building Expert System. Addition-
Wisley Publishing Company Inc.
Lillesand, T. and R. Keifer, 1987. Remote
Sensing and Image Interpretation, John Wiley
and Son.
Rich, E. and K. Knight, 1991. Artificial
Intelligence. New York, McGraw-Hill, Inc.,
Second Edition.
Way, D.S. 1978, Terrain Analysis. Available
from: 4171 Daventry Road, Upper Arlington,
OH 43220. U.S.A.
Mintzer, O., 1989. research in Terrain
Knowledge Representation for Image
Interpretation and Terrain Analysis. U.S. Army
Symposium an A.I. Research for Exploitation
of Battlefield Environment, EI Paso, Texas, pp.
271-293.
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B4. Vienna 1996