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Technical Committee on Service Computing (SC)
Chair: Shinji Kikuchi (NIMS) Vice Chair: Yoji Yamato (NTT), Kosaku Kimura (Fujitsu Lab.)
Secretary: Masahide Nakamura (Kobe Univ.), Shigeru Hosono (Tokyo Univ. of Tech.)

DATE:
Fri, May 28, 2021 09:40 - 18:25

PLACE:
Online (In spite of being a hybrid event initially, the venue of the University of Aizu must be closed due to the current situation regards to COVID-19. All of visitors must use the online, only.)

TOPICS:
Cyber-Physical-Social System、IOT, Machine Learning Application, etc general

----------------------------------------
Fri, May 28 PM Intelligent Service Application (09:30 - 11:45)
Chair: Fuyuki Ishikawa (国立情報学研究所)
----------------------------------------

----- Opening Message (UoA, MLSE) ( 10 min. ) -----

(1) 09:40 - 10:05
Personal and Intuitive Indoor Navigation System based on Digital Twin
Toru Kobayashi, Yoshifumi Onimaru, Kazuki Fukae, Tetsuo Imai, Kenichi Arai (Nagasaki Univ.), Eisuke Nakazawa, Tomohito Suzuki (DENSO WAVE Inc.)

(2) 10:05 - 10:30
Home Evacuee Support: Study of System to Support Home Evacuee by Voice Conversation AI
Yoji Ozawa, Yusuke Arai, Elserafy Hatem, Jayesh Guntupalli, Chaudhari Pritam Jaywant, Darshan Dharmendra Chawda (Hitachi)

(3) 10:30 - 10:55
Service Authentication Proxy for Accelerating API Development
Rina Ueno, Nariyuki Saito, Hiroshi Nasu, Yu Nakata (Hitachi)

(4) 10:55 - 11:20
Ontology and Rule for Repository to Share Knowledge of Deep Learning Architectures
Incheon Paik (UoA)

(5) 11:20 - 11:45
Application of representation learning techniques to reinforcement learning problems with non-image states
Shunichi Akatsuka, Susumu Serita, Toshihiro Kujirai (Hitachi)

----- Lunch Break ( 90 min. ) -----

----------------------------------------
Fri, May 28 PM Invited Lecture (13:15 - 14:15)
Chair: Shinji Kikuchi (NIMS)
----------------------------------------

(6) 13:15 - 14:15
Invited Lecture:
On realizing an independent and decentralized society through Smart City.
- Digital Innovation led by citizens and communities -
Mr. Shojiro Nakamura
Managing Director – Accenture Innovation Center Fukushima Center Co-Lead

----- Break ( 10 min. ) -----

----------------------------------------
Fri, May 28 PM Machine Learning Application (14:25 - 16:05)
Chair: Masahide Nakamura (Kobe Univ.)
----------------------------------------

(7) 14:25 - 14:50
ML Model Management Technology for ML-based IT Operations
-- MLOps for ML-based IT Operations --
Yasutaka Kono (Hitachi)

(8) 14:50 - 15:15
Considerations for preventing interference in autonomous operation programs
Masayuki Kakida (Hitachi)

(9) 15:15 - 15:40
Local-location and short-term solar power forecast system for marine environment observation devices
Tetsuo Imai (Hiroshima City Univ.), Satoshi Ichimaru, Kenichi Arai, Toru Kobayashi (Nagasaki Univ.)

(10) 15:40 - 16:05
Accuracy improvement technology on event classification utilizing machine learning in IT operation
Taku Okamura, Takashi Tameshige (Hitachi)

----- Break ( 10 min. ) -----

----------------------------------------
Fri, May 28 PM Lightening Talk, Poster Presenation (16:15 - 18:25)
Chair: Kosaku Kimura (Fujitsu Co.)
----------------------------------------

(11) 16:15 - 16:17
[Poster Presentation]
Improving Machine Translation using Sentence Augmentation by GPT-2
Ranto Sawai, Incheon Paik (UoA)

(12) 16:17 - 16:19
[Poster Presentation]
Classification Performance of Special Domain Twitter Message with Deep Learning Word Embeddings
Ryoya Ito, Incheon Paik (UoA)

(13) 16:19 - 16:21
[Poster Presentation]
Comparison of Word Representation Methods for Sentiment Classification with Twitter Data
Takahiro Yamauchi, Incheon Paik, Cherubin Mugisha (UoA)

(14) 16:21 - 16:23
[Poster Presentation]
Improving Code Generation with Code Graph based on Ontology
Jun-Wei Wang, Incheon Paik (UoA)

(15) 16:23 - 16:25
[Poster Presentation]
Comparison of Pre-trained Neural Language modeling pipelines for patient?s outcome prediction from medical text notes.
Cherubin Mugisha, Incheon Paik (UoA)

(16) 16:25 - 16:27
[Poster Presentation]
Generation of New Question and Answer using Extracted Ontology and Neural Language Model from SQuAD Data Set
Ayato Kuwana, Paik Incheon (UoA)

(17) 16:27 - 16:29
[Poster Presentation]
Evaluation of Few-Shot Learning for Adaptive Classification of GAN-Generated Images
Kohei Watanabe, Kungan Zeng, Incheon Paik (UoA)

(18) 16:29 - 16:31
[Poster Presentation]
Dynamic Service Recommendation in Edge Computing by Lightweight BERT-based Service Embedding
Kungan Zeng, Incheon Paik (UoA)

(19) 16:31 - 16:33
[Poster Presentation]
Multi-modal Neural Style Transfer
Nguyen Quang Tuyen (UoA), Dinh Quang Vinh (VGU), Incheon Paik (UoA)

(20) 16:35 - 17:20
Parallel Poster Session (By Discord)
- Discord Address for the Session:
https://discord.gg/ZZYujzaZny

* Parallel Session - First Half (16:35 - 17:00)
- Improving Machine Translation using Sentence Augmentation by GPT-2 ○Ranto Sawai・Incheon Paik(UoA)
- Classification Performance of Special Domain Twitter Message with Deep Learning Word Embeddings Ryoya Ito・○Incheon Paik(UoA)
- Comparison of Word Representation Methods for Sentiment Classification with Twitter Data Takahiro Yamauchi・Incheon Paik・○Cherubin Mugisha(UoA)
- Improving Code Generation with Code Graph based on Ontology ○Jun-Wei Wang・Incheon Paik(UoA)
- Evaluation of Few-Shot Learning for Adaptive Classification of GAN-Generated Images Kohei Watanabe・○Kungan Zeng・Incheon Paik(UoA)

* Parallel Session - Second Half (17:00 - 17:20)
- Comparison of Pre-trained Neural Language modeling pipelines for patient's outcome prediction from medical text notes. ○Cherubin Mugisha・Incheon Paik(UoA)
- SQuADデータセットから抽出したオントロジーとニューラル言語モデルを用いた新しい質問と回答の生成 ○桑名絢士・白 寅天(会津大)
- Dynamic Service Recommendation in Edge Computing by Lightweight BERT-based Service Embedding ○Kungan Zeng・Incheon Paik(UoA)
- Multi-modal Neural Style Transfer ○Nguyen Quang Tuyen(UoA)・Dinh Quang Vinh(VGU)・Incheon Paik(UoA)

----- Closing Address ( 5 min. ) -----

(21) 17:25 - 18:25
Online Dinner Party

# Information for speakers
General Talk will have 20 minutes for presentation and 5 minutes for discussion.

# CONFERENCE SPONSORS:
- Special Interest Group on Machine Learning Systems Engineering, Japan Society for Software Science and Technology (JSSST), IEEE Sendai Section


=== Technical Committee on Service Computing (SC) ===


Last modified: 2021-05-28 08:31:18


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