日本データベース学会のみなさま
静岡大学の山本祐輔と申します．
来年2023年2月13-16日の日程で，済州島（韓国）にて開催される
2023 International Conference on Big Data and Smart Computing
(IEEE BigComp 2023) について，論文投稿〆切が10月28日まで
延長されましたのでお知らせ致します．
ふるって論文投稿をご検討下さい．
なお，COVID-19の感染状況によってはハイブリッドもしくは
オンライン開催となる可能性がございます．
================================================================
[IEEE BigComp 2023]
2023 International Conference on Big Data and Smart Computing
(Jeju, Korea, February 13(Mon.)-16(Thu.), 2023)
================================================================
• Paper submission: October 28, 2022
• Tutorial/Workshop proposal: October 7, 2022
• Notification of acceptance: November 30, 2022
• Camera-ready: December 20, 2022
• Early registration: January 31, 2023
• Conference dates: February 13~16, 2023
Big data and smart computing are emerging research fields that have
been drawing much attention from diverse disciplines, including
computer science, information technology, and social sciences. The
goal of the International Conference on Big Data and Smart Computing
(BigComp), initiated by KIISE (Korean Institute of Information
Scientists and Engineers), is to provide an international forum for
exchanging ideas and information on current studies, challenges,
research results, system developments, and practical experiences in
these emerging fields among researchers, developers, and users from
academia, business and industry. Following the successes of the
previous BigComp conferences in Bangkok, Thailand (2014), Jeju, Korea
(2015), Hong Kong, China (2016), Jeju, Korea (2017), Shanghai, China
(2018), Kyoto, Japan (2019), Busan, Korea (2020), Jeju, Korea (2021),
and Daegu, Korea (2022), the 2023 IEEE International Conference on Big
Data and Smart Computing (IEEE BigComp 2023) will be held in Jeju,
Korea. The conference is co-sponsored by IEEE and KIISE. IEEE BigComp
2023 invites authors to submit original research papers and as well
original work-in-progress reports on big data and smart computing.
------------------------------
TOPICS OF INTEREST
------------------------------
We invite the submission of original research contributions in the
following areas, but also welcome any original contributions that may
cross the boundaries among areas or point in other novel directions.
In addition, BigComp 2023 encourages submissions about products,
practices, and services in industry:
* Big data analytics and social media
* Big data applications / big data as a service
* Big data ecosystem
* Bioinformatics, multimedia, smartphones, etc.
* Cloud and grid computing for big data
* Crowdsourcing and human-in-the-loop
* Data mining and data science
* Data and information quality
* Disaster analysis
* Infrastructure and platform for big data and smart computing
* Knowledgegraph,graphdatamanagementandmining
* Machine learning and AI for big data
* Machine learning and AI theory and fundamentals
* Mobile communications and smart location-based services
* Recommender systems
* Search/retrieval and generation of big data
* Security and privacy for big data
* Smart computing models, tools, and devices
* Techniques, models and algorithms for big data
* Tools and systems for big data
* Understandingmulti-modaldata
------------------------------
PAPER SUBMISSION
------------------------------
Original papers formatted in PDF according to the IEEE two-column
format for conference proceedings must be submitted through EasyChair.
Regular papers are limited to 8 pages and short ones to 4 pages.
BigComp 2023 adopts double-blind review policy. For details, please
see the submission guideline at the conference homepage.
------------------------------
IMPORTANT DATES
------------------------------
• Paper submission: October 28, 2022
• Tutorial/Workshop proposal: October 7, 2022
• Notification of acceptance: November 30, 2022
• Camera-ready: December 20, 2022
• Early registration: January 31, 2023
• Conference dates: February 13~16, 2023
----------------------------------
Organizing Committee
----------------------------------
General Co-Chairs:
* Hyeran Byun (Yonsei University, Korea)
* Beng Chin Ooi (National University of Singapore, Singapore)
* Katsumi Tanaka (Kyoto University / University of Fukuchiyama, Japan)
Organization Co-Chairs
* Wen-Huang Cheng (National Chiao Tung University, Taiwan)
* Jae-Gil Lee (KAIST, Korea)
Program Committee Co-Chairs
* Sang-Won Lee (Sungkyunkwan University, Korea)
* Zhixu Li (Fudan University, China)
* Akiyo Nadamoto (Konan University, Japan)
* Giltae Song (Pusan National University, Korea)
Workshop Co-Chairs
* Young-guk Ha (Konkuk University, Korea)
* Kazutoshi Sumiya (Kwansei Gakuin University, Japan)
Tutorial Chairs
* Makoto Kato (University of Tsukuba, Japan)
* Se-Young Yun (KAIST, Korea)
Panel Co-Chairs
* Yoshiyuki Shoji (Aoyama Gakuin University, Japan)
* Jinyoung Yeo (Yonsei University, Korea)
Finance Co-Chairs
* Hiroaki Ohshima (University of Hyogo, Japan)
* Noseong Park (Yonsei University, Korea)
Publicity Co-Chairs
* Hyunjung Shin (Ajou University, Korea)
* Yusuke Yamamoto (Shizuoka University, Japan)
* Bolong Zheng (HUST, China)
Local Arrangement Co-Chair
* Yungcheol Byun (Jeju National Unversity, Korea)
Publication Co-Chairs
* Hyuk-Yoon Kwon (Seoul Natl’ Univ. of Science and Technology, Korea)
* Takehiro Yamamoto (University of Hyogo, Japan)
Registration & Web Co-Chair
* Byoung Chul Ko (Keimyung University, Koera)
━━━━━━━━━━━━━━━━━━━━━━
Yusuke Yamamoto, Associate Professor
Dept. of Informatics,
Graduate School of Integrated Science and Technology,
Shizuoka University
Johoku 3-5-1, Naka-ku, Hamamatsu, 432-8011, Japan
TEL: +81-53-478-1522
Email: yamamoto(a)inf.shizuoka.ac.jp
━━━━━━━━━━━━━━━━━━━━━━
DBSJの皆様、
大阪大学の 前川と申します。
産業ドメインの行動認識コンペである「OpenPack Challenge 2022」の参加募集をさせて頂きます。コンペにおけるタスクは、物流センターを模倣した環境で収集された梱包作業に関するセンサデータから、10種の作業工程を推定することになります。
上位3チームには、賞金と表彰式が行われるPercom 2023への旅費のサポートを用意しております。
多くの皆様のご参加をお待ちしております。コンペの詳細に関しては、下記ウェブサイトをご覧ください。
== タスク ==
梱包作業に関する 10種類の作業工程の認識
== データセット ==
OpenPack Dataset (v0.3.x)
OpenPack datasetは、梱包作業に注目した大規模かつマルチモーダルな作業行動データセットです。加速度データや深度データ、キーポイントデータを含み、合計収録時間は53時間、20,129件の作業行動ラベルが付与されています。また、スマートファクトリーを想定したIoTデバイスのデータや、作業者や梱包内容に関するメタデータなども多数含まれています。
== スケジュール ==
2022/10/15 … コンペ開始
2023/01/15 … コンペ終了 (Close)
2023/03/13-17 … PerCom 2023 WSにて表彰式
== Website ==
Challenge: https://open-pack.github.io/challenge2022
Dataset: https://open-pack.github.io/
また、OpenPack ChallengeをホストするPerCom Workshopの論文募集もさせて頂きます。
2nd International Workshop on Behavior analysis and Recognition for knowledge Discovery (BiRD 2023)
In conjunction with the IEEE International Conference on Pervasive Computing and Communications (PerCom 2023)
March 13-17, 2023 in Atlanta, USA
https://bio-navigation.jp/bird2023/
----------------------------
CALL FOR PAPERS
----------------------------
BiRD workshop aims to provide a forum for presenting and discussing research on the recognition and understanding of behavior data collected from various sources, such as humans, animals, and automobiles, towards scientific discovery (e.g., ecology and medical science) and/or actual business applications (e.g., industry, sports, healthcare, and stockbreeding).
In addition, we plan to invite biologists and neuroscientists who have collected and analyzed behavior data of various animals. While the biologists and neuroscientists have massive amounts of behavior data, they have limited opportunities to apply state-of-the-art behavior analysis techniques to their data. This workshop provides a good opportunity of collaboration between biologists and information scientists.
This workshop solicits papers on the recognition and understanding of behavior data collected from various sources, such as humans, animals, and automobiles, towards scientific discovery (e.g., ecology and medical science) and/or actual business applications (e.g., industry, sports, healthcare, and stockbreeding). Because the organizers of this workshop are core members of an interdisciplinary project of engineer, computer science, biology, and neuroscience on behavior understanding (https://bio-navigation.jp/en/) and one of the organizers is a biologist specialized in seabirds, we solicit poster papers that mainly focus on real data and discuss experience/limitations of conventional analysis methods applied to the data. The topics of interest include, but are not limited to:
- Data mining methods for behavior/activity data
- Trajectory mining
- Modeling behavior/activity
- Behavior/activity data collection for scientific discovery and/or actual business
- Data preparation and labeling for scientific discovery and/or actual business
- Knowledge extraction from massive amounts of behavior/activity data
- Behavior/activity monitoring and recognition systems for scientific discovery and/or actual business
- Applications of activity recognition and/or indoor/outdoor localization
- State-of-the-art indoor/outdoor localization techniques
- State-of-the-art behavior/activity recognition and understanding techniques
- Visualization of behavior/activity data for knowledge discovery
- Extension of those to multi-agent/collective motion setting
-----------------------------
IMPORTANT DATES
-----------------------------
- Workshop paper submissions: November 14, 2022
- Paper notifications: January 5, 2023
- Camera ready: January 31, 2023
------------------
SUBMISSION
------------------
Authors are invited to submit full papers that are unpublished and not under review elsewhere. In addition, we solicit poster papers that mainly focus on real data and discuss experience/limitations of conventional analysis methods applied to the data.
Full details of submission procedures are available at
https://bio-navigation.jp/bird2023/
Workshop papers will be included and indexed in the IEEE digital libraries (Xplore).
-------------------
ORGANIZERS
-------------------
Takuya Maekawa (Osaka University)
Ken Yoda (Nagoya University)
Keisuke Fujii (Nagoya University)
Olga Heim (Doshisha University, Leibniz institute for zoo)
--------------------------
PROGRAM COMMITTEE
--------------------------
[Computer science]
- Moustafa Youssef (American University in Cairo and Alexandria University)
- John Krumm (Microsoft Research)
- Stephan Sigg (Aalto University)
- Hiroaki Kawashima (University of Hyogo)
- Yasutoshi Makino (University of Tokyo)
- Koh Takeuchi (Kyoto University)
- Shingo Kagami (Tohoku University)
- Satoru Satake (ATR)
- Kazuya Ohara (NTT)
- Naoya Chiba (Waseda University / OMRON SINIC X Corporation)
- Teerawat Kumrai (Osaka University)
- Qingxin Xia (Osaka University)
- Yasushi Iwatani (Hirosaki University)
- Shogo Arai (Tokyo University of Science)
[Biology & neuroscience]
- Shizuko Hiryu (Doshisha University)
- Susumu Takahashi (Doshisha University)
- Koutaro Kimura (Nagoya City University)
- Hisashi Murakami (Kyoto Institute of Technology)
- Kazushi Tsutsui (Nagoya University)
- Nozomi Nishiumi (National Institute for Basic Biology)
- Mathieu Bonneau (INRAE)
