Visualization System Using Artificial Neural
Network and Mathematical Analysis 1st Edition by
Bok Suk Shin, Cheol Ki Kim, Eui Young Cha ISBN
9783540200574 354020057X pdf download
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ecological-visualization-system-using-artificial-neural-network-
and-mathematical-analysis-1st-edition-by-bok-suk-shin-cheol-ki-
kim-eui-young-cha-isbn-9783540200574-354020/
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, Applications of the Ecological Visualization System
Using Artificial Neural Network and
Mathematical Analysis
Bok-Suk Shin1, Cheol-Ki Kim2, and Eui-Young Cha1
1
Department of Computer Science, Pusan National University
Busan 609-735 Korea
2
Department of Computer Engineering, Miryang National University
Miryang, 627-702 Korea
Abstract. This paper presents a 3D visualization system with artificial
neural network algorithm that tracks the motion of particles flowing in
the water, where we get a great deal of variable information, and pre-
dicts the distribution of particles according to the flowing of water and
the pattern of their precipitation. Various particles and their mutual col-
lision influencing the force such as buoyancy force, gravitational force,
and the pattern of precipitation are considered in this system and we
control it by normalizing momentum equation and sequential equation.
Flowing particles whose motion is changed with the environment can be
visualized in the system presented here as they are in real water. We can
track the motion of the particles efficiently and predict the pattern of the
particles as well.
1 Introduction
Technique to control the motion of the particles in the water plays important role in
applications such as computer applications, utilization of water, hydrodynamics, engi-
neering, ecology. We track the motion of particles and analyze the pattern of their
precipitation to control the flowing particles in the water. To predict the result, we
need various pre-processing and operation because we extract a lot of variable infor-
mations. An efficient system is necessary for exact prediction to reduce the cost and
operating time during the course from collecting data to extracting information.
In the fields such as utilization of water, hydrodynamics and engineering, we are
studies the resistance of water in irrigation canal, the motion of particles in the water
to flood control. In recent years, in order to disposal the deposits in the water and
analyze the structure of substratum ecosystem occurred by the precipitation of con-
tainment, the studies on the motion and precipitation of particles are being made most
of which are only in laboratory[1,2,3,4,5]. Most of such studies need a great deal of
cost and time for the reason that we have to observe and collect the data and analyze it
through the simulation in artificial waterway to observe the flowing particles in the
T.D. Gedeon and L.C.C. Fung (Eds.): AI 2003, LNAI 2903, pp. 1027-1037, 2003.
Springer-Verlag Berlin Heidelberg 2003