| Conference Date |
Fri, Jun 2, 2017 13:00 - 17:15
Sat, Jun 3, 2017 09:00 - 10:40 |
| Topics |
Service Computing including IoT, Big Data Analytics, Intelligent Communication System, and Other Issues |
| Conference Place |
University of Aizu, UBIC, 3D Theater |
| Address |
University of Aizu, Tsuruga, Ikki-machi, Aizu-Wakamatsu City, Fukushima, 965-8580 |
| Transportation Guide |
http://www.u-aizu.ac.jp/access/
http://www.u-aizu.ac.jp/access/ |
Contact
Person |
Prof. Incheon Paik
+81-242-37-2796 |
| |
13:00-13:05 |
Opening Address ( 5 min. ) |
Fri, Jun 2 PM AI and Data Mining
Chair: Masahide Nakamura (Kobe Univ.)
13:05 - 14:45 |
| (1) |
13:05-13:30 |
Development of HEMS Demo Room to Realize AI with Emotions |
Koichi Tsunekawa, Tkushi Kojima, Miyuki Ohmi (Chubu Univ) |
| (2) |
13:30-13:55 |
Correlation Between Taxonomy Data Distribution and Classification Performance |
Incheon Paik, Kazuki Sasaki (Univ. of Aizu) |
| (3) |
13:55-14:20 |
Taxonomy Classification By Explicit Semantic Analysis & Deep Machine Learning |
Kento Hayasaka, Incheon Paik (Univ. of Aizu) |
| (4) |
14:20-14:45 |
A Neural Network Recommendation Approach for Improving Accuracy of Multi-criteria Collaborative Filtering |
Mohammed Hassan, Mohamed Hamada (Univ. of Aizu) |
| |
14:45-15:00 |
Break ( 15 min. ) |
Fri, Jun 2 PM Invited Lecture - Handling Big Data and Information in Disaster Scene (Prof. Toshiaki Miyazaki)
Chair: Incheon Paik (Univ. of Aizu)
15:00 - 16:00 |
| |
- |
Handling Big Data and Information in Disaster Scene (Prof. Toshiaki Miyazaki, University of Aizu)
Abstract:
On September 11, 2011, we had a big earthquake in Tohoku area in Japan. The cruel experience provoked us into developing data and information sharing systems that must be used in disaster scenes. In my talk, I will introduce two systems that we are developing. The first one is the demand-addressable sensor network system (DASN), which is dedicated to nation-wide environmental sensing. To handle huge amount of sensed data, e.g., more than one million sensed data per second, a unique distributed database technique and an active sensing concept were introduced to DASN. The second system is the resilient information management system or RIM. By providing a standalone server with WiFi environment, RIM supports rescue actions and information sharing among the people in a disaster-hit region using their smartphones/tablets, even if the Internet and commercial phone/network infrastructure are not available. |
| (5) |
15:00-16:00 |
[Invited Talk]
Handling Big Data and Information in Disaster Scene |
Miyazaki Toshiaki (Univ. of Aizu) |
Fri, Jun 2 PM Service Discovery and Composition
Chair: Kosaku Kimura (Fujitsu Co.)
16:00 - 17:15 |
| (6) |
16:00-16:25 |
Domain Information Measure with Novel Ontology Generation for Web Service Clustering |
Rupasingha Arachchilage Hiruni Madhusha Rupasingha, Incheon Paik (Univ. of Aizu) |
| (7) |
16:25-16:50 |
Customizable Transaction and QoS-aware Selection Approach for Big Data Analytics Automation on the Automatic Service Composition |
Akila Siriweera, Incheon Paik (Univ. of Aizu) |
| (8) |
16:50-17:15 |
Analyzing Indoor Environment Sensing Data for Recognizing ADL of One Person Household |
Long Niu, Sachio Saiki, Masahide Nakamura (Kobe Univ.) |
| |
18:00-20:00 |
Banquet ( 120 min. ) |
Sat, Jun 3 AM IoT System and Service
Chair: Yoji Yamato (NTT)
09:00 - 10:40 |
| (9) |
09:00-09:25 |
Service Discovery on Service Network Constructed by Word Embedding |
Takeyuki Miyagi, Incheon Paik (Univ. of Aizu) |
| (10) |
09:25-09:50 |
Model of Implementation policy for Scalable Workflow Monitoring |
Shinji Kikuchi, Subhash Bhalla (Univ. of Aizu) |
| (11) |
09:50-10:15 |
DTN Routing Adopting Parameters Used in Social Network Model |
Yusuke Igarashi, Toshiaki Miyazaki (Univ. of Aizu) |
| (12) |
10:15-10:40 |
An Approach for Barter Exchange of Services on API Gateway |
Kosaku Kimura, Atsuji Sekiguchi (Fujitsu Labs.) |
| |
10:40-10:50 |
Closing Address ( 10 min. ) |