Ishibashi Naoki

本稿では，携帯電話による健康管理サービスとそのユーザビリティ評価について報告する．第一に，携帯電話による健康管理サービスの実現に不可欠なBluetoothペアリングについて，複数のペアリング方法を36名の利用者が利用した際のユーザビリティ評価について述べる．第二に，体重計，血圧計，歩数計の3種の健康機器，および，携帯電話を用いた健康管理サービスについて，健康機器と携帯電話間の通信方法に関するユーザビリティ評価を，10代から70代までの34名を対象として行った．健康管理サービスにおけるユーザビリティとしては，健康維持へのインセンティブの持続およびスムーズなサービス実現が重要であることが明らかとなった．本稿ではそのユーザビリティ評価について定量的に報告する．

For music data on the global area network, we propose an automatic extraction method of metadata that represent impression. The proposed method dynamically extracts adjectives and correlations according to each instrument of a datum, and it dynamically integrates the results of each instrument to generate the metadata of the datum. We clarify feasibility of the proposed method with an implemented system.

For music data on the global area network, we propose an automatic extraction method of metadata that represent impression. The proposed method dynamically extracts adjectives and correlations according to each instrument of a datum, and it dynamically integrates the results of each instrument to generate the metadata of the datum. We clarify feasibility of the proposed method with an implemented system.

For querying music data that drastically increase, on the global area network, number of methods has been proposed. For examples, the methods which directly match melodies, and the methods that apply pattern-matching to the abstract information like names of songs or authors have been proposed. These methods are commonly used for executing queries for the songs that the user has already heard or knows the abstract information, though it is difficult to search when the user does not know any information. For rcalizing such queries to the songs which user has never heard, it is effective to realize connectivity between users and music according to the subjective of users such as impression. In this paper, we propose an automatic extraction method of metadata that represent impression for music data on the global area network. The proposed method dynamically extracts adjectives and correlations according to each instrument of a datum, and it dynamically integrates the results of each instrument to generate the metadata of the datum. We clarify feasibility of the proposed method by comparing to a method that evaluates the main instrument.

For querying music data that drastically increase on the global area network, number of methods has been proposed. For examples, the methods which directly match melodies, and the methods that apply pat-tern-matching to the abstract information like names of songs or authors have been proposed. These methods are commonly used for executing queries for the songs that the user has already heard or knows the abstract information, though it is difficult to search when the user does not know any information. For realizing such queries to the songs which user has never heard, it is effective to realize connectivity between users and music according to the subjective of users such as impression. In this paper, we propose an automatic extraction method of metadata that represent impression for music data on the global area network. The proposed method dynamically extracts adjectives and correlations according to each instrument of a datum, and it dynamically integrates the results of each instrument to generate the metadata of the datum. We clarify feasibility of the proposed method by comparing to a method that evaluates the main instrument.

With a rapid popularization of the global-area network, realizing an information retreaval method for media data is essentially important today. As forcusing to the information retriaval methods for music data, absolute methods to automatically extract impressions, which becomes metadata, of music data do not exist. In this paper, we propose an automatic metadata creation method for music with multiple musical instruments. The impression for each musical instrument is extracted from the music data which consist of multiple instruments and weighted according to each importance of the musical instrument. Our method extract the impression of a music datum by compounding the impression of each musical instrument with others. We clarity the effectiveness of the method in a view point of compounding the impression of each musical instrument by comparing to present methods, and the effectiveness of weighting by showing the result of the actual questionnaire.

In this paper, we present a new data integration method which combines functions for evaluating temporal and spatial relationships between heterogeneous databases. The feature of this method is to realize to uniformly combine underlying systems with temporal and spatial data integration functions. We clarify feasibility and effectiveness of the method by showing some experimental results.

In this paper, we present a new data integration method which combines functions for evaluating temporal and spatial relationships between heterogeneous databases. The feature of this method is to realize to uniformly combine underlying systems with temporal and spatial data integration functions. We clarify feasibility and effectiveness of the method by showing some experimental results.