Takeshi Imanaka

A user customized selection and categorization for broadcast data

Recently, many broadcast satellites have been launched to provide data broadcasting services for public users. Although the provided services can cover many kinds of data and a wide range of user interest, it is considered that, in general, a user is interested in only some specific genres of data. Consequently, storing all received data is considered to be inefficient and only wasting a large amount of memory. This motivated us to introduce an information filtering system into a broadcast data receiving system. The use of filtering system increases the efficiency of memory usage and reduces time for searching interesting data. In this paper, we propose a filtering method that uses a tree structure to represent user preferences. The use of this filtering method enable the receiving system to select only data that match users interest and classify the stored data in the way that suits the users access pattern. We also describe the design and implementation of our broadcast data. Receiving system that makes use of the proposed filtering method. Further, we evaluate the performance of our method by showing some simulation results.

Fuzzy intelligent information processing in home appliances

We report an application of fuzzy logic to intelligent information processing. We have automated keyword extraction from a large amount of text information on teletext programs or Internet to provide users with a summary. With a part of this technique, we have also produced television sets which can summarize teletext news programs (in Japanese) into topics and display them for the users.