Pages: 69 - 72
In this paper, an adaptive multiple-model controller is developed for nonlinear systems in parametric-strict-feedback
form. Unlike the previous results, a switching scheme is not required here to switch the most appropriate model into
the controller design. The new scheme reduces the number of identification...
Pages: 73 - 78
This research proposes a decision support system of database cluster optimization using genetic network
programming (GNP) with on-line rule based clustering. GNP optimizes cluster quality by reanalyzing weak points
of each cluster and maintaining rules stored in each cluster. The maintenance of rules...
Pages: 79 - 84
Using our previously developed system, we investigated the influence of training data on the facial expression
accuracy using the training data of “taro” for the intentional facial expressions of “angry,” “sad,” and “surprised,”
and the training data of respective pronunciation for the intentional...
Pages: 85 - 88
Image dehazing utilizes a very complex algorithm that requires intensive filtering and floating-point arithmetic operations.
Consequently, processing speed is the most significant bottleneck in its application in some vision tasks such as mobile
platforms. In this paper, we propose an optimized single...
Pages: 89 - 93
The visualization of statement coverage (C0) and branch coverage (C1) measurement output can be used in several ways to improve the verification and validation process. The result displays are percentage of a successful tested code and visual information with highlighted in bright green as information...
Pages: 94 - 99
The deep feedback Group Method of Data Handling (GMDH)-type neural network is proposed and applied to the medical image recognition of abdominal organs such as the liver and spleen. In this algorithm, the principal component-regression analysis is used for the learning calculation of the neural network,...
Pages: 100 - 102
In order to improve the applications for an industrial sorting robot, it is necessary to increase its flexibility and
control accuracy. Here an industrial robot arm is designed and set up for experiment simulation with machine
vision. Some target recognition experiments are designed for vision recognition....
Pages: 103 - 106
There has been an increase in the number of images on the Internet that contain private information and/or the URL
of an illegal Web site. This information could result in a violation of human rights and/or a crime. We present a
method for extracting from an image the region(s) that contain characters....
Pages: 107 - 110
We present the results of our work on epigenetic programming (EP) and its application to navigation of mobile
cleaning robot. We verify the effect of genetic switches and the feasibility of incorporating histones. The results
show individuals applying Lamarckian EP have better quality and evolve faster...
Pages: 111 - 114
A video is analyzed by image processing and the feature parameters of facial expressions and movements, which
are extracted in the mouth area. The feature parameter for expressing facial expressions is defined as the average of
the facial expression intensity. The parameter for expressing movement...
Pages: 115 - 119
Haemophilia A is a genetic disease resulting from deficiency of factor VIII. The database of mutations causing
haemophilia A has been developed by the world wide collaboration. In this study, we examined the relation
between activity of factor VIII and the missense mutation by using machine learning....
Pages: 120 - 124
In ad hoc networks, due to the mobility of nodes, communication links are unstable and restricted. As such, an
efficient routing protocol is needed in order to solve these problems. In the present paper, we propose a neighbors
based routing (NBR) protocol by constructing paths in an area in which a...
Pages: 125 - 130
This paper introduces recent fundamental modifications to the Japanese alliance system known as the keiretsu, and
analyses how these changes have affected corporate performance. More specially, the performance of Japanese auto
manufacturers, such as Toyota, Nissan and others, has significantly improved...
Pages: 131 - 134
Genetic algorithms (GAs) are stochastic optimization techniques, and we have studied the effects of stochastic
fluctuation in the process of GA evolution. A mathematical study was carried out for GA on OneMax function
within the framework of Markov chain model. We treated the task of estimating convergence...
Pages: 135 - 139
This paper proposes a modification method of a source code to correspond with a modified model in MDA. The
proposed method generates, translates, and modifies EAD (Extended Activity Diagram). Also, it generates a source
code from the activity diagram. We use a simple ATM example to confirm availability...