Since a wheelchair was originally designed as a transportation vehicle in ones who can not walk well due to the degenerative muscle of legs of the elderly and disabled persons, it was not considered to apply lower limbs to drive a wheelchair Wheelchairs driven by arms cause a shoulder disorder, a disuse atrophy of leg muscles and a contracture of leg joints. On the other hand, while wheelchairs driven by legs can prevent or alleviate those symptoms in a daily life, it is difficult to drive for oneself if their muscle forces are not enough to drive the wheelchair To solve its difficulty the Functional Electrical Stimulation is carried out on their leg muscles to pedal the wheelchair, and to get a stable driving a motor assist is considered. The leg pedaling motion in this paper is controlled by the fuzzy logic. Experiments of the pedaling using one healthy young man are performed on the level road, and a smooth pedaling motion is realized.

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We examined that the effect of repeated listening to wind band music on heart rate of healthy human at habitation or place-of-work environment. On making a peace of the wind music to the testees listen five times, whose music name is "Appalachian overture", composed by James Barnes, the heart rate measurement was done for the four healthy persons. It turned out that the heart beat rate decreases or changes as the number of listening was increased. On the other hand, it was shown that the change tendency for the two persons of them was similar, and for the two other women, almost same tendency was observed.

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In recent years, in the field of the entertainment robot and nursing care robot, several methods for embedding human emotions to the robot have been developed actively. In this paper, in order to realize emotion generating and emotion behavior more appropriate for a living thing, we embed to a robot about the model of neuromodulators that exists in human's brain and propose the learning method of the emotion behavior using Q-Learning that has meta-parameter control. In this method, we propose a target selection-type Q-Learning method with plural Q-values concerning the maximization and minimization of rewards and punishments. We aim at the realization of a system to obtain complicated emotion behaviors selected based on the positive and negative evaluation according to the situation. Furthermore, we also report the result of an experiment by computer simulation and Kansei evaluation to confirm the efficiency of proposed method.

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A cluster analysis method is proposed in this paper. This method is able to visualize a multi-dimensional dataset as a graphical object, or Glyph, and extract a tree structure from the object as a dendrogram. As benchmark data, the Fisher's iris dataset and Wine recognition data were used. As a result of the numerical experiment, a clustering method by the dendrogram took 97% in accuracy from Group Average, Flexible, and Centroid methods using Glyph Analysis Setting of 1.0. To be compared with the usual dendrogram method, our proposed method has the corresponding visualization on the polygon surface as well as dendrogram. Also, the classification of the unconfirmed dataset will be possible by this method. It is difficult to display a multi-dimensional data by the dendrogram in the one dimension. The ultimate of the visualization is 3 dimensional expression. We can conclude that it should be the best way that a multi-dimensional data is expressed by a sphere where the phase relationship is smooth.

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The Heart rate variability (HRV) for five healthy human was measured by under the conditions of simultaneous listening to wind band music, which is "Sports Show March", composed by Yuji Koseki. After listening to wind band music, the average of coefficient of variance in HRV (CV-RR) value was larger than before that. On the other hand, components of low frequency (LF; 0.04-0.15Hz) and high frequency (HF; 0.15-0.40Hz) were obtained from analysis of power spectrum in HRV by FFT. LF value and LF/HF ratio were decreased during the listening to wind band music.

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In the range of about 1500bp in length of 3368 type strains of 16S rDNA, a shorter DNA of about 550bp are cut out using forward and backward primers. The information quantity of the shorter DNA is reduced to simply about one third. The method to cut out the 550bp is considerably simple, so it is useful in an experimental side. Our knowledge is accumulated on this method. In order to make clarified whether the knowledge based on the shorter DNA is meaningful or not, we discuss about the quantity of the information.

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Only a pair of patterns are associated with each other for the conventional associative memories. Therefore, those memories have such problems that memory capacity is small and noise tolerance is low. The aim of this paper is to propose a pattern analysis-type associative memory that not only a pair of patterns but also their analyzed information are associated with one another. To examine the effectiveness of the proposed associative memory, computer simulation was performed on memory capacity and noise tolerance. As a result, it was confirmed that memory capacity and noise tolerance of the proposed associative memory were higher than an improved layered-type associative memory.

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A portable virtual three-dimensional touch system is proposed. The system is premised the personal use, cheap, simple and light weight. This equipment would be applicable to virtual reality, three-dimensional mice and sight handicapped support used in outdoor The equipment measures the position of the finger by the ultrasonic wave, and contact information is given by the piezoelctric ceramic vibrator The position is measured by phase difference of the ultrasonic wave in order to minimize the disturbance to auditory sense. The correction is carried out periodically by the transmission time measurement. The measurement error of the finger position was within 5mm at 500mm above the sensor The contact information of a cube and a sphere was recognized.

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The signals of acceleration plethysmogram is obtained as a fingertip content pulse wave detected by an optical sensor It is observed nonivasively and is used mainly for estimation of arteriosclerosis and blood vessel age. In the estimation and classification of acceleration plethysmogram, the traditional method has a problem that its method cannot classify the plethysmogram exactly because of imperfect sampling of its waveform. In this paper, the authors propose a method of applying fuzzy neural network to taking the precise waveform information in the classification of plethysmogram data. The authors add a technique of genetic algorithm to the optimization of fuzzy reasoning using the steepest descent method. In a technique using the genetic algorithm, the gene can select some kinds of MSFs. This method models acceleration plethysmogram and its chaos attractor In addition, the authors take the values of the waveform out of the modeling data as a vector, and classify the data of plethysmogram using self-organizing map. The advantages of this new method have been proved by comparing to the traditional method.

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Brain areas activated by three different-genre video games, Racing, Rhythm Action and Tabletop game (Mahjong), were compared in a functional magnetic resonance imaging (fMRI) study. Ten right-handed healthy participants performing experiments and analyzed using statistical parametric mapping. The racing game requiring simple planning activated the right prefrontal cortex, and Mahjong, which needs complex planning, activated the bilateral prefrontal cortex. On the contrary, the rhythm action game did not activate the prefrontal cortex. On the other hand, the games of racing and rhythm action, which required real-time responses, activated the right inferior prefrontal cortex. Mahjong, which does not require real-time reactions, did not, however, activate this area. These results indicate that the areas of brain activation while playing different-genre video games depended on the combination of required skills for each game.

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In this article, we describe a Web browsing method with an automatic color correction (palette changing) for personal user's visibility. Especially we describe a paired comparison test and SOM (Self-Organizing Map) analysis for white background and chromatic character colors, and we consider our proposed "Web Color Set Prediction Method" with SOM for personal visibility on Web browsing. We are evaluating our web application system for this method as CGI (Common Gateway Interface) software on a HTTP server of the Internet. Since a user profiling is required beforehand for every user, we have to consider about this problem with SOM The proposed method is available for this problem by the 9 conditions of the prediction method, which are "achromatic", "low luminance group (B-R-M)", "high luminance group (G-C-Y)", and fundamental 6 color series.

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The rapid dissemination of the World Wide Web raises the issue of the Web accessibility, and one of the important things is the combination of a foreground color and a background color In our previous study, the visibility of web-safe colors on the white background was examined, and the Blue used for unvisited standard link color was found high visibility in wide range of ages. In this study, the visibility between the standard link color and 124 background colors was examined using pair comparison method As the results, it was shown that the high contrast led the high visibility and the color harmony of the link color and the complementary background colors also made the high visibility.

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The dynamic behavior of nano-scale magnet in biomaterials is not well known. Although the interaction of magnetic force is clear, interactions between the coat of the magnet and the solvent molecules are not so clear So the basic knowledge on the dynamic movement in the various materials should be accumulated. Using strong photon beams in SPring-8 facility, we trace the magnet and investigate the response of the nano-scale magnets under the outer magnetic fields.

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The dynamic behavior of nano-scale magnets in materials is not well known in vivo.. Although the interaction of magnetic force is clear, comportments of nano-magnets in the vivo or plants are not so clear. So the basic knowledge on the dynamic movement in Mugwort (artemicia princeos Pump) instead of animals should be accumulated. Using strong photon beams in SPring-8 facility, we trace the magnets and investigate the accumulation of the magnets in Mugwort (artemicia princeos Pump).

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We observed behavior of nano-magnetic fluid with emission light of SPring-8. As results. 1. Nano-magnetic fluid can penetrate 2% acryl amide gel. 2. Nano-magnetic fluid cannot penetrate over 3% gel. 3.We observed a slow change of nano-magnetic fluid for five hours. 4. Nano-magnetic fluid can pass gel and a boundary surface of cuvet. 5. Therefore we inject nano-magnetic fluid in an organization boundary surface of a living body origin organization. Then the magnetic fluid can pass a boundary surface of meat and fat.

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Recently, technology to handle a molecule of nano scale advances, and an applied technology is developed in every area. Development of nano-DDS is performed worldwide in the med-tech area. We try the effectiveness of nano-magnet DDS. The dynamic behavior of nano-scale magnet in materials is not well known. Therefore it is necessary we perform direct observation, and to get information of the behavior. Using strong photon beams in SPring-8 facility, we were able to observe that a nano-magnet could move the whole chicken egg.

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Laser and photochemical reaction is able to destroy caser tissues selectively. Ordinary we chose the high energy laser and powerful photon beam which can excite the drug molecules or activate. However, those beams have fetal defects that they enable only to reach the superficial of our bodies, and they cannot go deeply ahead into our bodies. So, we cannot propose effective phototherapy, even if we use the powerful drug as hematoporphyrin,. If Spring-8 is chosen as the source of the penetrative photon beam for as synchrotron radiation, we have possibility that we will enable to kill the deep seated malignant tumor.

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According to the national census performed in last October, Japan entered population decline society. A trend of population of man and woman is shown until 2060. A calculation results are show every five years. The population is classified in an age-grade every 5 years old. The population of 5 years old rank is divided into man and woman, and resulting figures are shown. Aging rate is obtained based on the constitution of population. We can predict a death toll of the modern Japanese three major cases of deaths (malignant neoplasms, heart diseases, cerebro-vascular diseases) by using the death rate for three dieses for every age-grade.

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We analyzed the social factors of Japanese divorce ratio with using multiple regression methods for prefectural sanitary statistics in2001. The dependent variable is adopted the social factors of Japanese divorce ratio, and explaining variables are divided into five categories which are private-home's, economical, social, cultural and physiographical area. We choused 30 explaining elements from these five areas. First of all, we reconfirmed those variables to be making the normal distribution. And performing then Stepwise method and analyses of variance We finally obtained multiple regression equations containing some explaining variable. Main divorce promoting factors are unemployment ratio, average yearly temperature, working in double harness, the trend toward the nuclear family, and much of account. On the other hands, divorce repression factors are academic carrier, home ownership, income, the numbers of snow's days. We thought that politics of home ownership is more effects than that of that increasing workfare facility for working youths & women's.

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We analyzed the social factors of Japanese divorce ratio with using multiple regression methods for prefectural sanitary statistics in2001, and we obtained the regression equations having several explanation variables. In order to investigate characteristics of those ones, we intend to use factor analysis or principal component analysis. On our process, we found that there are some parameters have sometimes a wrong sign like as the relationship between average temperature and snow's days. Those parameters as the work in double harness and academic carrier belong to groups of having wrong signs. If we can practice cluster analysis with using those parameters, most of prefectural and city governments are classified into four groups. However, Tokyo, Okinawa and Hokkaido have nothing to do with groups of other prefectures. We wonder if these three prefectures have the special reason why the other prefectures do so.

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