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Technical Committee on Service Computing (SC)
Chair: Incheon Paik (Univ. of Aizu) Vice Chair: Masahide Nakamura (Kobe Univ.)
Secretary: Masahiro Tanaka (NICT), Shigeru Hosono (NEC)
DATE:
Fri, Jun 2, 2017 13:00 - 17:15
Sat, Jun 3, 2017 09:00 - 10:40
PLACE:
University of Aizu, UBIC, 3D Theater(University of Aizu, Tsuruga, Ikki-machi, Aizu-Wakamatsu City, Fukushima, 965-8580. http://www.u-aizu.ac.jp/access/. http://www.u-aizu.ac.jp/access/. Prof. Incheon Paik. +81-242-37-2796)
TOPICS:
Service Computing including IoT, Big Data Analytics, Intelligent Communication System, and Other Issues
----- Opening Address ( 5 min. ) -----
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Fri, Jun 2 PM AI and Data Mining (13:05 - 14:45)
Chair: Masahide Nakamura (Kobe Univ.)
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(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)
----- Break ( 15 min. ) -----
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Fri, Jun 2 PM Invited Lecture - Handling Big Data and Information in Disaster Scene (Prof. Toshiaki Miyazaki) (15:00 - 16:00)
Chair: Incheon Paik (Univ. of Aizu)
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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)
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Fri, Jun 2 PM Service Discovery and Composition (16:00 - 17:15)
Chair: Kosaku Kimura (Fujitsu Co.)
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(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.)
----- Banquet ( 120 min. ) -----
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Sat, Jun 3 AM IoT System and Service (09:00 - 10:40)
Chair: Yoji Yamato (NTT)
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(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.)
----- Closing Address ( 10 min. ) -----
# Information for speakers
General Talk will have 20 minutes for presentation and 5 minutes for discussion.
=== Technical Committee on Service Computing (SC) ===
# FUTURE SCHEDULE:
Fri, Aug 25, 2017: [Sat, Jun 24]
Last modified: 2017-05-25 10:48:05
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