Many researchers have taken an interest in the inference of genetic networks from the time-series of DNA microarray data, and this has become one of major topics in bioinformatics field. In order to infer S-system models of genetic networks, we have proposed the method. However, the method is hard to analyze actual DNA microarray data containing many hundreds or thousands of genes. To overcome this problem of the proposed method, we combine our method with a clustering technique. In this study, we present the condition that the similarity measure of the clustering method must satisfy.

View full abstract

This paper discusses knowledge acquisition method using variable precision rough set model, and appraises precision of the method. And we suggest other knowledge acquisitions on the basis of this model. We show that we can obtain better results than the ordinary method of knowledge acquisition and discriminant analysis.

View full abstract

Single Input Rule Modules connected type fuzzy reasoning method (SIRMs method, for short) by Yubazaki can decrease the number of fuzzy rules drastically in comparison with the conventional fuzzy reasoning models. SIRMs method is shown to be superior to the ordinary methods by applying to non-linear functions. Furthermore, SIRMs method is applied to a diabetes diagnostic system, showing the validity.

View full abstract

We are developing human reasoning engine based on the fuzzy reasoning methods. This human reasoning engine will be explained in this paper. The following five reasoning algorithms and example of application are contained in this human reasoning engine. (1) Mamdani's fuzzy reasoning method. (2) Functional fuzzy reasoning method. (3) Simplified fuzzy method. (4) Product-Sum type fuzzy method. (5) Distance type fuzzy reasoning method.

View full abstract

Investigating the shape and time to peak (HR delay) of hemodynamic response (HR) introduces a new facet of researches on human brain function. We have proposed an analysis method for detecting activated areas and measuring HR delay simultaneously using event related function magnetic resonance images (ER-fMRI). The method has been based on wavelet transform. In this paper, we investigate the performance of the method by modifying a mother wavelet. The modified mother wavelet is based on mathematically defined HR function by SPM (statistic parametric mapping) software by Friston et al. To evaluate the proposed method, we applied the proposed method and conventional methods to the phantom data. The results showed that the method could detect the activated area equivalent to and more than conventional methods. We also estimated the accuracy of measuring HR delay. The results showed that the proposed method could measure HR delay more accurate than the conventional method.

View full abstract

The human lung is composed of five compartments called "Lung lobes." Segmenting lung lobes from chest Multidetector-row Computed Tomography (MDCT) images can provide effective information for analyzing pulmonary conformation and detecting pulmonary diseases such as the emphysema. Our method finds the boundary surface between lung lobes by the fuzzy control that fits a curved surface into the space with lower density of tubular tissues, which are defined as peripheral blood vessels and bronchus. This paper describes the performance evaluation of the proposed method and the application method for estimating the forced vital capacity of individual lung lobes.

View full abstract

We can apply the technique of the digital curve in 2-dimensional space to the analyzing of object-shape in 3-dimensional space by using the contour lines. Those contour lines are 2-dimensional digital curves. The shape of digital curve on the plane is analyzed by using correlation of the complex valued functions. The complex valued function represents a curved line on the complex plane which is the same as the digital curve in the 2-dimensional space. The similarity defined by cross correlation of two digital curves in the 2-dimensional space is invariant to size and rotation.

View full abstract

Biomedical Fuzzy System Association (BMFSA) was established in May of 1985 and the first annual meeting was held in February of 1989. Many presidents of BMFSA, many chairmen and program chiefs of annual meetings, chief editors of journals and many earnest members contributed to progress of BMFSA and development of the soft computing sciences. Unfortunately it is said that BMFSA is coming to "the corner" in its history. From the view point of looking back the past history and forecasting the coming future, I tried to survey the activities of many contributors to nineteen years history of BMFSA, through the journals and the paper books of national annual meetings. The analyzed result are summarized into eleven categories : 1. Fuzzy theory, 2. Neural network, 3. G. A. and Chaos theory, 4. Self-Organizing Maps, 5. Medical diagnosis, 6. Health checkup, 7. Control, 8. Pattern recognition and Medical image processing, 9. Psychology and Sensation sciences, 10. Sociology and Economics, and 11. Oriental medicine.

View full abstract

[in Japanese]

View full abstract

[in Japanese]

View full abstract

[in Japanese]

View full abstract

Myoelectric upper limb proshesis for amputee of higher order is unable to move all the movable parts just as sound arms. The reason why it cannnot give indications to all the movable parts only by myoelectric signals and wire. And then first of all I made neurone network learn the relationship of the actions between both arms and worked out the system which controls arttificial arms by using myoelectric signal and the action of sound arms. After making foundamental action of both arms learn, I imputted daily action into neurone network and simulated, as the result I got the effectiveness.

View full abstract

Wisdom is knowledge to do an efficient action. To create wisdom therefore, it is required to collect a lot of knowledge. We developed The WEB diary system to collect a lot of low-level knowledge by a simple input form. The knowledge base in the WEB diary is composed of a simple form by the XML document, and WEB diary system has the function to use the full-text search If we get the way to collect the knowledge dynamically, it is hope to construct to create wisdom.

View full abstract

Age-related changes in the visibility rating of several web-safe color combinations were examined using a paired comparison. Fifty-one subjects ranging from ages 20s to 70s were recruited. We found that color combination ranking has a positive monotonic relationship with sensation magnitude in all ages. This indicates that the visibilities of color combinations can be rated by the luminance pairs of foreground and background colors.

View full abstract

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 achromatic character and chromatic background colors, and we propose a color set prediction method with SOM for personal visibility on Web browsing. We are implementing and evaluating a 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.

View full abstract

In this article, we describe about an analysis of fundamental visibility on Web color sets by Self-Organizing Maps (SOM), and an paired comparison test for its training. In recent years, people in many age groups use the Web frequently. However, there are few Web contents in consideration of their accessibilities. Therefore, there are also many pages that are hard to see for people in a specific age group (elderly people). We think that the visibility of the Web will be very important in the near future. As visibility, we focused only on the combination of character and background colors, which is called color sets, among the design-elements of Web contents. In the combination of character and background colors, we conducted the paired comparison test for collecting the standard data of visibility, and analyzed the paired comparison data using the Self-Organization Maps.

View full abstract

It is difficult to define a comfortable space for human being. It comes partly from the reason because many attributes characterizing a space are related to comfortability, partly from the reason because all people have different preference, and also from the reason because even the same person changes their preference according the state of their health, body and so on. We intend to control various parameters and attributes in order to realize such a comfortable space according the accumulated data-base about people's usages of the space. Also we employ the sensuous information obtained from human bodies such as temperature, blood pressure, brain waves and etc. to adjust the circumstance of the space.

View full abstract

Human random generation test (HRG) is expected to be used for detecting a mental disease in a handy, noninvasive way. In order to implement such function in a simple apparatus, we need a quick way to compute an appropriate measure, or to recognize patterns to be used for diagnosis. We examine the effectiveness of hidden Markov model (HMM) for HRG by using two sets of data which we took in 1997 and 2003 from 13 students in total. Our result implies that HRG offers information enough to identify group of people but not enough to recognize individuals by means of HMM.

View full abstract

To keep up with a rapidly changing world and increasing importance of advancing globalization, there is a real need for effective way to learn English conversation in non-English-speaking countries as Japan. To investigate how and which portion of the cerebrum plays an important role is essential as a bases for developing efficient way of the learning. A localization of brain function in recalling long term memories consolidated by mnemonics was carried out using electroencephalograms (EEG) measurements. The data was summed in each epoch of 3 seconds and the equivalent current dipole localization (ECDL) was done to estimate the source.

View full abstract

To make Principal Component Analysis (PCA) robust for intra-sample noise, Torre and Black proposed a general analogue outlier process that provides a connection to robust M-estimation. This paper proposes a fuzzy membership approach based on the least squares criterion and Noise Clustering (NC) by Dave for robustifying PCA to intra-sample outliers.

View full abstract

We have researched the physical aspects of the radiotherapy using pi-mesons as a injector. The pi-meson has been expected to have a appropriate dose curve inside human body, such as Brugg-peak or star formation. We discuss the ratio of the peak with the plateau of the remaining curve inside human body, and obtained a good result that the ratio is 10 to 1.

View full abstract

In this paper, an orthognathic surgery support system, in which a beauty score of postoperative profile is considered, is proposed. In ordinary operation planning, a beauty score is estimated from predictive postoperative profile. However, it is difficult to predict the postoperative profile with accuracy. In the proposed system, classification maps for preoperative profile and hard tissue movement are constructed using self-organizing maps, and reasonable hard tissue movement can be estimated by observing these two maps.

View full abstract

Tongue diagnosis, Inquiry and Pulse diagnosis are important examination method in traditional Chinese medicine (TCM). We continue developing a tongue diagnosis supporting system using the fuzzy theory until today, but don't build a system except tongue diagnosis supporting system. Therefore this study refers to a tongue diagnosis supporting system and tries construction of a inquiry supporting system.

View full abstract

Our study has specifically addressed scientifically classifying information from a pulse wave. In addition, we have tried classification assessment of disease state so far by applying nonlinear chaotic analysis to acceleration plethysmogram time series data. The present study examines a new analytical method to supplement information that is missed by the recurrence plot method. We report on this new method as we have used it in conventional research.

View full abstract

A Japanese woman's rate of working is becoming high. Working woman is threatened by the so-called general physical complaint. General physical complaint, somatoform disorder, etc. are still the problems that it does not solve with present-day medicine, then, suitable healthy management is called for. This time, new salutogenesis of these working women is described using chaos and SOM.

View full abstract

This paper presents fast algorithms for extracting fuzzy association rules from database. The objective of the algorithm is to improve the computational time of mining and to reduce the extracted redundant rules for the actual application. In this paper, for extracting fuzzy association rules, it is assumed that conclusion part of the fuzzy rule is specified in advance. This assumption corresponds to actual problems, e.g. diagnostics problem of the process, quality control action of manufacturing, and so on. The algorithm is based on the Apriori algorithm for rule extraction of the specified output field or output fuzzy set. From the results of numerical experiments, the algorithm is found to be effective compared with the conventional method in terms of computational efficiency.

View full abstract

It is well known that fuzzy mapping plays an important and fundamental role in fuzzy analysis. In this paper, we attempt to determine extensive classes of these fuzzy mappings that are represented by their power series. And as applications, we give some examples.

View full abstract

T-Norm is indispensable in the fuzzy theory, and it is very important set operation. In various aspects of affairs, T-Norm has been applied. In this paper, we would discuss the connectivity among T-Norms.

View full abstract

Recently, a lot of social systems have been computerized using Information Technology (IT). It is no exception in hospitals. Hospital support systems are also rapidly being computerized using such as Diagnosis Reservation System, Ordering System for Drug Prescriptions, Electronic Medical Record (EMR) and so on. In the immediate future, all of medical data will be stored to the database server in the hospital, and it is considered that complete paper-less and film-less system in hospitals become reality. These stored data, however, is not used effectively for analysis because of the great deal of the data and its variety - image data, numerical data, text data and so on. Previously, knowledge discovery methods from numerical medical database were studied and discussed actively. Text mining method for medical data, however, has not been enough discussed. This study discusses knowledge discovery method from Electronic Medical Records using Self Organizing Map (SOM) and its possibility. As the first step of this research, this paper describes the outline of keyword mapping method using SOM from Incident Reports. This paper also discusses the keyword extraction method from EMR and the coding method of SOM.

View full abstract

Recently, it became very attractive to measure the health degree by the pulse wave measuring method. Then, we can analyze the degree of arteriosclerosis, and the vein age by the subject's pulse without visiting medical doctors. Already, we proposed the system using the Self-Organizing Map (SOM) for finding the health and the fatigue degree where the measuring time is very short. In this report, we propose the technology for raising the analysis accuracy from the statistics distribution obtained from the pulse wave.

View full abstract

With the progress of practical applications of the fuzzy theory, it is becoming increasingly difficult to design and tune larger and more complicated systems with the help of fuzzy knowledge alone. Various methods of tuning the fuzzy reasoning rules used for the approximation of given input-output data intended for the solution of such problems have been proposed, including methods combining fuzzy reasoning and neural networks or methods of tuning the fuzzy reasoning rules by using optimization techniques based on genetic algorithms. However, these methods cannot cope with many problems completely, for example, rapid increase of the number of rules and large scale change of fuzzy system as the number of inputs and outputs increases. To overcome these problems, we add a technique of genetic algorithm to the optimization of fuzzy reasoning using the steepest descent method. In a technique of genetic algorithm, this new method can select some kinds of membership functions(MSFs), delete some lengthy rules, and optimize MSFs. In addition, this new method can improve generalization ability as a result of selection of MSFs adapting to the model. The advantages of this new method are proved by numerical examples with multi input and output learning data involving function approximations.

View full abstract

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 a benchmark, the fisher's iris dataset was used. As a result, the dendrogram took 17.3 percent of error, but the glyptic visualization helped to locate these errors. To obtain more useful dendrogram which has the corresponding visualization, use of this method is recommended.

View full abstract

In this paper, a developmental procedure of the autonomous mobile robot DREAM-3 is described. The DREAM-3 is a mobile robot typed as an electrically driven wheel chair. The aim to develop DREAM-3 is make it travel in indoor environments such as in hospitals and/or welfare facilities for their practical use and serve to care for old people and physically handicapped person. Such a mobile robot has to provide especially the following properties : (1) safety (2) reliability and robustness. To maintain these properties in the traveling, the authors have proposed an environmental map for DREAM-3. Using sensor information, the robot position with its direction is specialized in the environment map. The traveling can be controlled by both traveling trajectory in the environmental map and in the real traveling environment. As a result, this map plays an important role for determining the robot position accurately and for its stable traveling.

View full abstract