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Technical Committee on Service Computing (SC) (Searched in: 2018)
Search Results: Keywords 'from:2018-11-09 to:2018-11-09'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| KBSE, SC | 2018-11-09 10:30 |
Hyogo | Developing Real-time Face Identification Device Composable with Distributed Applications Kosuke Hirayama, Sachio Saiki, Masahide Nakamura (Kobe Univ.)  KBSE2018-28 SC2018-23 |
In recent years, many applications which using face identification are developed. However, development load in creation ... [more] | KBSE2018-28 SC2018-23 pp.1-6 |
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| KBSE, SC | 2018-11-09 11:00 |
Hyogo | Prototyping Personal Ontology Building System Using Virtual Agent Shota Nakatani, Sachio Saiki, Masahide Nakamura (Kobe Univ.), Kiyoshi Yasuda (OIT) KBSE2018-29 SC2018-24 |
In previous research, we have proposed a method which represents and manages ``the knowledge of individual person'' (Per... [more] | KBSE2018-29 SC2018-24 pp.7-12 |
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| KBSE, SC | 2018-11-09 11:30 |
Hyogo | Evaluation of the Effectiveness of Recommendation while Managing the Data Density of the Web Service-User Preference Rupasingha Arachchilage Hiruni Madhusha Rupasingha, Incheon Paik (UOA) KBSE2018-30 SC2018-25 |
Recommender systems become important in the research and commercial society, where many recommendation solutions have b... [more] |
KBSE2018-30 SC2018-25 pp.13-18 |
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| KBSE, SC | 2018-11-09 13:00 |
Hyogo | Quality of Machine Learning Software: Products, Services, Platform Shin Nakajima (NII) KBSE2018-31 SC2018-26 |
[more] | KBSE2018-31 SC2018-26 pp.19-24 |
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| KBSE, SC | 2018-11-09 13:45 |
Hyogo | Screen Image Classification based on Convolutional Neural Networks Hayato Nishimura, Katsuhisa Nakazato, Kuniharu Takayama (Fujitsu Lab), Hiromasa Yoshikawa, Hideo Zempo (FUJITSU DESIGN), Yusuke Motoyama (FUJITSU KAGOSHIMA INFORNET), Toshio Ogawa (Fujitsu Quality&Wisdom), Shinji Tanaka (FUJITSU) KBSE2018-32 SC2018-27 |
[more] | KBSE2018-32 SC2018-27 pp.25-30 |
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| KBSE, SC | 2018-11-09 14:45 |
Hyogo | Using EA Model to Design Services Shuichiro Yamamoto (Nagoya Univ.) KBSE2018-33 SC2018-28 |
We propose a method to design service process from business description. To describe service processes, ArchiMate which ... [more] | KBSE2018-33 SC2018-28 pp.31-36 |
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| KBSE, SC | 2018-11-09 15:30 |
Hyogo | KBSE2018-34 SC2018-29 |
[more] | KBSE2018-34 SC2018-29 pp.37-42 |
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| KBSE, SC | 2018-11-10 09:00 |
Hyogo | Short Time Learning in Location Recognition Based on Infrared Sensor Array Ryo Ota, Qiangfu Zhao (UOA) KBSE2018-35 SC2018-30 |
The aim of this paper is to reveal the usefulness and possibility of a sparse infrared sensor array for building a smar... [more] | KBSE2018-35 SC2018-30 pp.43-46 |
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| KBSE, SC | 2018-11-10 09:30 |
Hyogo | A consideration of visualising server status history in server management exercise Kazuki Nisimura, Hiroshi Igaki (OIT) KBSE2018-36 SC2018-31 |
[more] | KBSE2018-36 SC2018-31 pp.47-52 |
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| KBSE, SC | 2018-11-10 10:00 |
Hyogo | Parallel processing area extraction and data transfer number reduction for automatic GPU offloading of IoT applications Yoji Yamato, Hirofumi Noguchi, Misao Kataoka, Takuma Isoda, Tatsuya Demizu (NTT) KBSE2018-37 SC2018-32 |
For Open IoT, we have proposed Tacit Computing technology to discover the devices that have data users need on demand an... [more] | KBSE2018-37 SC2018-32 pp.53-58 |
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| KBSE, SC | 2018-11-10 10:45 |
Hyogo | Kazuyuki Higashi, Hiroyuki Nakagawa, Tatsuhiro Tsuchiya (Osaka Univ.) KBSE2018-38 SC2018-33 |
[more] | KBSE2018-38 SC2018-33 pp.59-64 |
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| KBSE, SC | 2018-11-10 11:30 |
Hyogo | Kosaku Kimura, Atsuji Sekiguchi, Shridhar Choudhary, Tadahiro Uehara (Fujitsu Labs) KBSE2018-39 SC2018-34 |
[more] | KBSE2018-39 SC2018-34 pp.65-70 |
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| KBSE, SC | 2018-11-10 13:15 |
Hyogo | Yusuke Morimoto, Shigeo Kaneda, Akio Ida, Takumi Kamimoto (Doshisha Univ.) KBSE2018-40 SC2018-35 |
[more] | KBSE2018-40 SC2018-35 pp.71-76 |
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| KBSE, SC | 2018-11-10 14:00 |
Hyogo | An Investigation and Analysis of UML State Machine Diagrams in Large Classes Shinpei Ogata, Mizue Kayama, Kozo Okano (Shinshu Univ.) KBSE2018-41 SC2018-36 |
In this paper, we reports on the result of an investigation and analysis of many answer models for a modeling task towar... [more] | KBSE2018-41 SC2018-36 pp.77-82 |
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