Manabu Nii

This paper presents an advanced method which measures the real-time transmission delay time about all frames from video camera. This camera takes a picture of a timer display which steadily shows shutter-closing time of each frame. Additionally, two synchronous on-off markers have been built in that timer. These components, timer display and on-off markers run using frame synchronous timing of the camera. Two trial equipments succeed to measure the detailed characteristics of delay along the real-time SD-TV transmitted by the H.264 technology or by the DVTS technology with a resolution of 0.1ms. These experiments suggest that the synchronous on-off marker method is useful.

This paper presents a method which measures the transmission delay time of real-time scene from the video camera onto the distant screen. The camera takes a picture of a timer with on-off marker and sends it to the screen. Another timer ticking away the same time is placed nearby that screen. When the image of on-off marker has been drawn on the screen, this timer catches its light and shows that time. Then, we can read the difference of the two timers as the total delay. A trial equipment succeeds to measure it along the real-time HD-TV displayed on Organic EL and also H.264 on LCD with a resolution of 0.1ms. The experimental values agree with the analytical characteristics.

The nursing-care quality improvement is very important in the medical field. Currently, nursing-care freestyle texts are collected from many hospitals in Japan through the Internet by using Web applications. Some nursing-care experts evaluate the collected data for improving nursing-care quality, and then return a recommendation for improvement to each nurse. Since this Web based nursing-care quality evaluation system is a novel system in Japan, participation of many hospitals is desired. However, it is very difficult to increase the number of hospitals because the only few experts evaluate the collected nursing-care texts. In this paper, for evaluating many nurses, we develop a support vector machine (SVM) based classification system. And we propose a new attribute definition by using the expert's knowledge such as the length of a text and words or expressions which are focused by experts. First, for generating numerical training data, we extract attribute values from the nursing-care freestyle texts. And then, we classify the nursing-care numerical data using the SVM. Computer simulation results show the effectiveness of our proposed attribute definition. From the result of this paper, since many nurses can be evaluated by our proposed system, we can expect the quality improvement of the nursing-care in Japan.

This paper shows a distributed fuzzy classification system for the purpose of speeding-up the process. Two processes are distributed over multiple computing elements in this paper. One is a fuzzy rule-generation process where the consequent class and the certainty factor are determined from training patterns. The other is a fuzzy inference process where an input pattern is classified using the generated fuzzy If-Then rules. In order to identify the bottle-neck process in fuzzy classification systems, first we investigate the computational effort in the process of fuzzy classification process. Then we introduce the idea of distributing the two processes over multiple computers that are connected to each other. In the computational experiments of this paper we show an example of the application of the distributed fuzzy classification system for high-dimensional pattern classification problems.

本論文では, 遺伝的アルゴリズムを用いてパターン選択と特徴選択を行うことにより最近傍識別器を設計する場合での適応度関数の定義について議論する.数値実験では, 最近傍識別器の汎化性能と適応度関数の定義方法との関係を調べ, 遺伝的アルゴリズムを用いたパターン選択と特徴選択により汎化性能が向上することを示す.