(English) GRACEメールマガジン 2009/5/21

◆□◆□◆GRACEメールマガジン◆□◆□◆□◆□◆□◆□◆□◆2009/5/21
 第4号
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GRACEメールマガジンは、GRACEセンターのセミナー、イベント情報、研究資料や出版物などの
最新情報を適宜まとめて月1回程度電子メールでお届けするものです。
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− Content −
1.お知らせ
2.GRACEセミナーのご案内

★★★★★★★ 1. お知らせ★★★★★★★

●次回予告●
次回のGRACEマガジンからは、
GRACEセンターの研究プロジェクトをご紹介
していきます。
ソフトウェア工学の最先端で今何が行われているのか。
産学官連携の戦略的な展開の可能性を皆様にお伝えします!

★★★★★★★ 2. GRACEセミナー案内 ★★★★★★★

●第21回先端ソフトウェア科学・工学に関するGRACEセミナー

主催:NII 先端ソフトウェア工学国際研究センター(GRACEセンター)
http://grace-center.jp/
日時:2009年5月26日(火)10:00-12:00
場所:国立情報学研究所(NII) 12階会議室(1208)
参加費:無料
http://www.nii.ac.jp/introduce/access1-j.shtml (地図)
お問い合わせ:田口 研治 (ktaguchi_AT_nii.ac.jp)_AT_を@に書き換えてください。

参加をご希望の方は、下記アドレスまで、セミナー前日まで必要事項を記入し,
“21st GRACE Seminar”というタイトルで電子メールにてご登録をお願いします。

登録アドレス: event-info@grace-center.jp
必要事項:お名前、所属、メールアドレス

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Details:

First Speaker:
Takuya Maekawa,
NTT Communication Science Laboratories

Title:
Real World Web Data Engineering
: Sensor and Web Data Processing for Real World Applications.

Abstract:

This talk consists of an outline of studies of NTT CS Labs on
ubiquitous sensor networks and the speaker’s studies on
web content engineering in ubiquitous sensor environments.
The speaker mainly introduces his works on ubiquitous sensors:
(1) web based lifelogging and (2) context-aware query-free web search.

(1) The Object-Blog presented here is a lifelog system in which
personified indoor daily objects automatically post weblog entries to
a weblog about sensor data obtained from sensors attached to
the objects. Recent reductions in data storage costs make it
possible to store realworld data related to normal daily living
observed with ubiquitous sensors. However, many raw logs
will be write-only logs; they will be written but
never accessed. Raw logs should be processed into meaningful data
events and aggregating the events into a kind of chronicle. To move
from raw logs to chronicles in the ubiquitous-sensor environment,
the Object-Blog system presented here automatically generates
web content from realworld phenomena.

(2) The new IR method presented here automatically searches for
useful web pages related to user’s current activities of daily living
by using sensor data streams obtained from object usage sensors
attached to daily objects. The retrieved pages are to be shown on
Internet-enabled appliances that exist ubiquitously in our daily lives
without rich input interface such as televisions.

This talk is based on the IEEE Pervasive Computing and SIGIR’09
papers coauthored with Yasue Kishino (NTT), Yasushi Sakurai (NTT),
Koji Kamei (NTT), Yutaka Yanagisawa (NTT West), and
Takeshi Okadome (Kwansei Gakuin University).

Bio:

Takuya Maekawa is a researcher at NTT Communication Science
Laboratories in Japan. His research interests include Web content
engineering in mobile and ubiquitous environment. He received his Ph.D.
in information science and technology from Osaka University in 2006.

=======================================

Second Speaker:
Dr. Hideyuki Kawashima,
University of Tsukuba

Title:
Recent Advances in Data Stream Processing

Abstract:

This talk introduces our recent activities in data stream processing.
Recently there are a number of stream information sources such as
routers, sensor devices or video cameras.
On processing data streams, traditional relational DBMS does
not perform effectively. The reasons are twofold.

(1) Function aspect: RDBMS provides simple operations such as
selection, projection, join, aggregation, union, etc. The operators are
effective for static, clean, symbol-based data. While on the other hand,
sensor data are inherently dynamic, noisy and signal-based.
Applications of such sensor data usually require new functions
such as probabilistic reasoning or noise filtering.

(2) Performance aspect: RDBMS once stores incoming data items
into persistent devices, and then the data items are read into
memories for processing. This methodology requires disk accesses,
which incurs performance degradation. Since sensor data generate
highly frequently, new architectural approaches are required.
This talk introduces our recent activities including provenance
management, pattern matching with Kleene plus and probabilistic
reasoning.

Bio:

Hideyuki Kawashima is currently an assistant professor at
Graduate School of Systems and Information Engineering and at
Center for Computational Sciences, University of Tsukuba.
He received the Ph.D. degree in computer science from Keio
University in 2005. He was a research associate in Keio University
from 2005 to 2007. He is a member of ACM, IEEE Computer
Society, DBSJ, IEICE, and IPSJ. His research interest lies in
database system kernel, data stream processing, e-Science,
and data mining.

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−編集後記−
●GRACEメールマガジンの 第4号をお届けしました。
ご意見、ご感想は、owner-grace-bulletin@nii.ac.jpまでお願いいたします。

●GRACEメールマガジンの購読解除、バックナンバーについては、下記のURLをご
覧ください。
http://www.grace-center.jp/mail_member.html

——————————————————————–
編集・発行
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先端ソフトウェア工学・国際研究センター(GRACEセンター)
広報担当
〒101-8430 東京都千代田区一ツ橋2-1-2
E-Mail:owner-grace-bulletin@nii.ac.jp
ホームページ:http://grace-center.jp/index.html
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カテゴリー: メルマガ パーマリンク

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