Takanori Terashima

Developing a Collaborative Map Creation Support System by Multi-modal Information-gathering

This paper represents the framework which offers the user friendly data collection of the multi-modal information that consists of image, location data and texts, and secondary use of them. A local area information map creation system, for disaster prevention or crime prevention, is shown as an application of the suggested framework. Users collect the image data where people need attention together with the location data from GPS and its comments by UMPC (Ultra-Mobile PC) or mobile phone outside. Currently, UMPC is used for the system development to temporarily overcome the limitations of application development on the mobile-phone, although data collection using mobile-phone must be a successful solution. Collected data are sent to a server machine, and the server machine automatically creates the information map that collected images and comments are arranged based on location data sent together. The created map is also published on the Net. This implementation is based on Ajax, using Google Maps API and JavaScript. The data collection can be done by several users and stored at a server space for each projects. When several users collect the information around the same area, the data collection eventually becomes a collaborative work. Thus the suggested system does not offer only the user friendly framework for the data collection but also the interface of the collaborative work of data collection. Similar GIS system is currently available on the Net, but they give only the interface to locate the photos and comments on a map.

Enhancing visual perception using dynamic updating of display

In this report we propose two types of methods that enhance the visual perception of human. The first idea uses a type of change blindness, a short-term information suppression of visual information processing. This makes possible to provide visual stimulation to peripheral area of visual field without being noticed by the user. It can be used to separate “what you see” and “where you will see the next” when you design the screen of computer display. The second idea is to control the speed of reading text using visual stimulation to peripheral. We tested several types of leader for guiding eye-gaze. Experimental result shows that the leaders increase reading speed without loss of comprehensiveness.

Adaptive Interface Model for Lecture Allocation System

In recent years, elective subject system is widely employed in many universities. It is one of the most important educational system in which students can freely select the lecture based on their preferences and purpose. Elective subject is expected to increase student’s motivation for learning because this has high flexibility. But, because mechanical lecture allocation mechanisms used by many universities don’t consider student’s preferences and purpose, existing trivial mechanism cannot bring out the effects of elective subjects. Especially when the number of student who attend a lecture exceeds the seating capacity, the university choose student by lottery or first-arrival basis and provides with the right to attend a lecture. Lecture allocation problems are widely researched by a lot of researchers. However, in most of existing researches, the lecture allocation systems have a complicated input methods and interfaces to make student’s indicate their preferences. Student’s ability to input his/her preferences depends on the experience and knowledge. It is different by each students have. This paper proposes an adaptive interface design model in lecture allocation system. The model changes adaptive interface design based on student’s ability. In our method, first, when students use the system for the first time, they declare their abilities. Second, when students operate the system, the system gets operational logs. Then the system design and interface for each student in subsequent use. System interfaces are defined base on user model which is constructed by features of user behavior defected through our preinvestigation. Advantages of our proposed methods and model are as follows. First the interface supports student’s operations. Second, student can input his/her preferences precisely. As the result, lecture allocation is conducted effectively.

Approximate reasoning using LR fuzzy number as input for sensorless fuzzy control

We investigate the optimization of fuzzy logic control. Fuzzy approximate reasoning involves single input rule modules (SIRMs) connected fuzzy inference model in which the inputs are LR fuzzy numbers instead of crisp numbers. Two kinds of continuity of the approximate reasoning and the compactness of the set of membership functions are proved and applied to optimization using functional analysis.

Continuity of Discrete-Time Fuzzy Systems

The purpose of this study is to prove the existence of IF-THEN fuzzy rules which minimize the performance functional of the nonlinear discrete-time feedback control. In our previous study, the problem of fuzzy optimal control was considered as the problem of finding the minimum (maximum) value of the performance function with fuzzy approximate reasoning. This study analyzes a discrete-time system to make numerical simulation of a real model more simple and fast. A continuity of fuzzy approximate reasoning on the compact set of membership functions selected from continuous function space guarantees an optimal control.

SIRMs fuzzy approximate reasoning using L-R fuzzy number as premise valuable

This study has been studied SIRMs (Single Input Rule Modules) connected fuzzy inference model in order to provide the insight into fuzzy control systems. The framework consists of two propositions: To guarantee the convergence of optimal solution, a set of fuzzy membership functions (admissible fuzzy controller) which are selected out of continuous function space is compact metrizable. And assuming approximate reasoning to be a functional on the set of membership functions, its continuity is proved. Then, we show the existence of SIRMs which minimize (maximize) the integral performance function of the nonlinear feedback fuzzy system.

Continuity of defuzzification on L 2 space for optimization of fuzzy control

The purpose of this study is to consider the fuzzy optimal control based on the functional analysis. We used a mathematical approach to compute optimal solutions. The feedback of fuzzy control is evaluated through approximate reasoning using the center of sums defuzzification method or the height method on IF-THEN fuzzy rules. The framework consists of two propositions: To guarantee the convergence of optimal solution, a set of fuzzy membership functions (admissible fuzzy controller) which are selected out of continuous function space is compact metrizable. And assuming approximate reasoning to be a functional on the set of membership functions, its continuity is proved. Then, we show the existence of a fuzzy controller which minimizes (maximizes) the integral performance function of the nonlinear feedback fuzzy system.

An Improvement of Instructional Methods for Nutrition Education

Most of nutrition education course in colleges and universities provides a license of nutrition specialist in Japan. Even such course, students must to get credits on practice of operations of information equipment including personal computer, presentation device and several other machines, because educational issue in Japan’s law sets as complementary lectures for students to graduate and to get the license. After graduation, students sometimes advise nutritional issues for people as a specialist using information devices. Generally, in university, student learns the way how he/she can effectively present with group discussion. However, the weak point of group study includes that some students do not have any motivations of allocated roles. The problem is often pointed out by staffs in job office, including food factory, restaurant in school and medical centers. To solve the problem, we propose a new teaching method by using information devices and a method to make students enhance their motivation to study.

Lipschitz Continuity of Approximate Reasoning

Lipschitz continuity of some approximate reasoning methods on the premise variables are described to guarantee the existence of the unique solution of the state equation of a fuzzy control. To obtain this result, some conditions must be given to the set of membership functions. Then we introduce some sets of membership functions used in Mamdani method, product-sum-gravity method and Larsen method and proved Lipschitz continuity of them.