We have investigated a measurement system for permittivity distribution based on the measured capacitance using a pair of large distance electrodes with shield and additional electrodes. However, the estimation of the permittivity distribution has not yet been established. In the paper, we propose a new numerical estimation method based on genetic algorithm (GA) and finite element method (FEM). The gene in the present GA method will have the information on such parameters as the location, radius and relative permittivity of a dielectric. The estimation of capacitance was done by using FEM with the numerical mesh data generated by the information on the gene. We also describe the feasibility of estimation of permittivity distribution using GA and FEM. 

In this paper, we introduce a design method of DNA chips using Self Organizing Maps(S0M) and Hierarchical SelfOrganizing Maps(H-SOM). DNA chips are powerful tools for sequencings and SNP(Sing1e Nucleotide Polymorphism) analyses of DNA sequences. A DNA chip is an array of DNA probes which can be hybridized with complement subsequences in the target sequence. However, conventional DNA chips are showing tendency to be comprised of large number of long probes and get large in size to achieve high resolution. To shrink the size of DNA chips, design method is considered to be important. To solve this problem, we applied SOM to extract common features of DNA sequences using proper number of probes which efficiently cover the target sequence with sufficient resolutions. Furthermore, H-SOM can design the chip comprised of long probes more efficiently than SOM can. We have designed some DNA chips from the sequence data in genome database using our SOM and H-SOM algorithm and evaluated the chips by computer simulations of SNP analyses.

The clustering by the self-organizing map algorithm of chromosome proles measured by slit-scan owcytometer is proposed. Moreover, the physical models of chromosomes have been introduced i n o r der to take into account the rotation of chromosomes in the owcytometer. The self-organizing map algorithm has been improved so that it can modify the characteristic parameters of chromosome physical models. By this modication, the lengths of chromosomes and the intensity distribution of chromosome uorescence c an be estimated f r om chromosome prole data measured b y the owcytometer. The estimated lengths of chromosomes have been almost equal to known values of the lengths of chromosomes. The clustering results by the above method have been compared with the clustering results of the same data by K-mean method and an agglomerative hierarchical clustering.

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The purpose of this paper is to detail the development of an autonomous mobile robot and a control support system. The robot has five infrared sensors and three ultrasonic sensors to enable it to follow a ' guide person' with an infrared ray transmitter. The robot will follow the infrared rays emitted by a transmitter with the guide person, and move to the destination. The control system has been developed by the network technology based on server/client model. The advanced control strategy for the autonomous mobile robot is carried out with a high-speed host server computer connected through the TCP/IP network. Therefore, it is enough for the CPU of the robot to be of low speed. In this paper, the autonomous mobile robot system and the control system using the server/client model are described. 