日本データベース学会の皆様
名古屋市立大学の小山と申します。
先日ご案内しましたDASFAAの併設ワークショップERDSE
https://erdse2024.github.io/
ですが、論文投稿締切を2週間延長し
【4月5日(金)】
としました。
(アブストラクトは事前に【3月29日(金)】までにご登録ください。)
・データサイエンス、データ工学の論文を幅広く募集します。
たとえば、DEIMでご発表頂いた内容は対象範囲とお考え下さい。
・若手研究者や学生の投稿を特に歓迎し、短いWork-in-Progress論文のカテゴリ
も設けます。
・Post-ProceedingsをSpringer LNCSで発行予定です。
投稿をご検討頂けましたら幸いです。
よろしくお願いいたします。
小山
---------------------
CALL FOR PAPERS
The DASFAA 2024 Workshop on Emerging Results in Data Science and
Engineering (ERDSE 2024)
July 2nd, 2024
Nagaragawa Convention Center, Gifu City, Japan
Various systems and services, including generative AI, built on massive
amounts of data, are revolutionizing our society. For their development,
not only technologies related to data science, such as machine learning,
but also data engineering techniques for efficiently managing large
amounts of data are essential. In order for them to be accepted by
society, various aspects of data management, such as privacy, security,
and fairness, must also be taken into consideration. This workshop aims
to provide an opportunity for presentations and discussions, especially
for young researchers and students, in the area of the convergence of
data science and data engineering, where many new research topics and
results are emerging.
The topics of the workshop include, but are not limited to:
Data Science and AI: Large Language Models (LLM), Explainable AI (XAI),
Interpretable Machine Learning
Data Engineering and Databases: Big Data, Graph Data, Data Security,
Data Privacy
Information Retrieval and Recommendation: Social Media, Information
Credibility, Polarization and Echo Chambers
Multimedia Data: Media Understanding, AI Generated Content, Multimodal
AI
Human Factors: Human Computation, Crowdsourcing, Human-in-the-Loop
Methods, Bias and Fairness
Application Domains: Healthcare, Education, Mobility
[Paper Categories]
Research Papers (*) (long presentation): They report significant and
original results relevant to the scope of this workshop. We solicit
innovative or thought-provoking work but they do not necessarily have to
reach the level of completion. Each submitted paper should include an
abstract up to 200 words and be no longer than 16 pages (including
references, appendices, etc.) in LNCS (Lecture Notes in Computer Science)
format. The expected length is between 12 and 16 pages.
Work-in-progress papers (short presentation): They present the goals,
challenges, and preliminary results of research work in progress. Each
submitted paper should include an abstract up to 200 words and be no
longer than 8 pages (including references, appendices, etc.) in LNCS (
Lecture Notes in Computer Science) format. The expected length is
between 4 and 8 pages.
(*) Some of the papers submitted to the research paper category may be
accepted as Work-in-progress papers and allotted to short presentation
slots.
[Paper Format]
Paper submission must be in English. There is no need for authors to
mask their names and affiliations in the manuscript. Submissions must be
original (not previously published and not under review in other forums).
Please use one of the following templates for the LNCS (Lecture Notes
in Computer Science) format: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…
[Publication]
The papers accepted and presented at the DASFAA workshops will be
published as post-proceedings in a volume of Springer's Lecture Notes in
Computer Science (LNCS) series.
[Important Dates]
Abstract submission deadline: March 29th, 2024
Paper submission deadline: April 5th, 2024
Acceptance notification: May 3rd, 2024
(Anywhere on Earth)
[Organizers]
Satoshi Oyama (Nagoya City University)
Jiyi Li (University of Yamanashi)
[Program Committee]
Daisuke Kitayama, Kogakuin University
Dominik Köppl, University of Yamanashi
Hiroaki Shiokawa, University of Tsukuba
Hiroaki Ohshima, University of Hyogo
Makoto P. Kato, University of Tsukuba
Masafumi Oyamada, NEC
Jianwei Zhang, Iwate University
Kazutoshi Umemoto, University of Tokyo
Kento Sugiura, Nagoya University
Kei Wakabayashi, University of Tsukuba
Kejing Lu, Nagoya University
Shoko Wakamiya, Nara Institute of Science and Technology
Toshiyuki Shimizu, Kyushu University
Yang Cao, Hokkaido University
Yasuhiko Kanemasa, Fujitsu
Yoshiyuki Shoji, Shizuoka University
Yousuke Watanabe, Nagoya University
Yuanyuan Wang, Yamaguchi University
Yusuke Yamamoto, Nagoya City University
Yuto Hayamizu, University of Tokyo
Yuyang Dong, NEC
[Contact]
erdse2024(a)gmail.com
[Web Page]
https://erdse2024.github.io/
日本データベース学会の皆様、
NTT の新井です。
昨日までの DEIM で発表されていた方はお疲れさまでした。
ちょっとシステムっぽい方は、その論文を xSIG にも出してみませんか?
(もちろん DEIM に参加されていない方からも歓迎です)
xSIG への投稿には多数のメリットがあります!
- 建設的な査読コメントを貰えます。(プログラム委員会で確認しています)
- 今後国際会議などへ挑戦していくための自信がつきます。
- (特に学生さんは)多くの受賞のチャンスがあります。
- (特にシステム系は)隣接分野からの新鮮な意見を貰えます。
- 採択されると徳島に行けます。
さらに、xSIG の後に国際会議や論文誌へ投稿する際の妨げにならないよう、
予稿集は一般公開されません。
(実際に投稿可能かどうかは投稿先の規定をご確認ください)
詳しくは下の CFP をご覧ください。
3/12(火)論文登録締切,3/19(火)論文アップロード締切です。
さらに、学生さんを含む若い方にプログラム委員を経験していただくための
「ヤング・プログラム委員」も 3/15(金)まで応募受付中です。
詳しくは https://xsig.ipsj.or.jp/2024/ をご確認ください。
(English follows Japanese)
---------------------------------------------------------------------
[Call for Papers]
xSIG 2024
The 8th Cross-disciplinary Workshop
on Computing Systems, Infrastructures, and Programming
(https://xsig.ipsj.or.jp/2024/)
【会期・会場】
会期 2024年8月7-9日 SWoPP2024内
会場 あわぎんホール(徳島県徳島市)
【主催・協賛】
主催:
情報処理学会 システム・アーキテクチャ研究会 (ARC)
同 ハイパフォーマンスコンピューティング研究会 (HPC)
同 システムソフトウェアと
オペレーティング・システム研究会 (OS)
同 プログラミング研究会 (PRO)
共催: IEEE Computer Society Tokyo/Japan Joint Chapter
協賛:
情報処理学会 データベースシステム研究会 (DBS)
電子情報通信学会 コンピュータシステム研究専門委員会 (CPSY)
同 データ工学研究専門委員会 (DE)
同 リコンフィギャラブルシステム研究専門委員会 (RECONF)
【重要日程】
2024/3/12(火) 17:00 (JST): 論文登録〆切
2024/3/19(火) 17:00 (JST): 論文アップロード〆切
2024/4/30(火)頃: 採否通知
2024/7/ 9(火) 17:00 (JST): ポスター投稿〆切
2024/7/10(水)頃: ポスター採否通知
2024/8/7(水)-9(金): SWoPP 2024 開催 (xSIG2024はその一部)
xSIG (cross-disciplinary workshop on computing Systems, Infra-
structures, and programminG) は,JSPP,SACSIS,ACSI の伝統を受け継ぎ,
2017年より新たに始まった国内会議です.全主催・協賛研究会の分野にまたがる
(cross-SIG) 幅広い分野を対象とします.
xSIG は,これら分野にまたがる発表,議論の場を提供すること,および,
国際標準的なピアレビューを行って若い研究者を育成することを目指していま
す.特に,
・xSIGで得られたフィードバックを基に研究を進展させ,国際学会やジャーナ
ルへと歩を進めることを期待します.予稿集を発行しませんが,採択された
論文は,会議期間中,会議参加者のみに対して提供します.また,昨年までに
引き続き,情報処理学会ACS論文誌ではxSIG連携号を準備しています.xSIGの
次のステップの一つとして投稿をご検討ください.
・国際標準的な学会形式(査読を意識した投稿,査読を受ける・する,PC会議
での議論など)を通じて,実質的なフィードバック,および,若い研究者への
査読論文執筆の訓練・練習の場を提供します.学生を含む若手研究者が,
論文査読やプログラム委員を早期体験する機会としてヤング・プログラム委員
制度を設けます.
・学生を対象とする賞を多く設けます.
2020年より,xSIGは国内のコンピューティングシステム関連の研究会が一堂に
会する機会であるSWoPPの中で開催しています.
【組織】
プログラム委員長
光来健一 (九州工業大学)
プログラム副委員長
新井 淳也 (NTT)
大島 聡史 (九州大学)
塩谷 亮太 (東京大学)
ポスター委員長
平石 拓 (京都橘大学)
プログラム幹事
桝井 晃基 (大阪大学)
組織委員長
鯉渕 道紘 (国立情報学研究所)
組織委員
井上 拓 (IBM)
岩下 武史 (京都大学)
遠藤 敏夫 (東京工業大学)
小口 正人 (お茶の水女子大学)
合田 和生 (東京大学)
五島 正裕 (国立情報学研究所)
田浦 健次朗 (東京大学)
竹房 あつ子 (国立情報学研究所)
滝沢 寛之 (東北大学)
津邑 公暁 (名古屋工業大学)
中田 秀基 (産業技術総合研究所)
---------------------------------------------------------------------
[Pre-Call for Papers]
xSIG 2024
The 8th Cross-disciplinary Workshop
on Computing Systems, Infrastructures, and Programming
(http://xsig.ipsj.or.jp/2024e/)
[Date and Venue]
Date: Aug. 7-9, 2024 in SWoPP
Venue: Awagin Hall (Tokushima-shi, Tokushima)
[Technical Sponsors]
Sponsors:
- IPSJ SIG System Architecture (ARC)
- IPSJ SIG High Performance Computing (HPC)
- IPSJ SIG System Software and Operating Systems (OS)
- IPSJ SIG Programming (PRO)
Co-sponsors:
- IEEE Computer Society Tokyo/Japan Joint Chapter
Support:
- IPSJ SIG Database Management System (DBS)
- IEICE Technical Committee on Computer System (CPSY)
- IEICE Technical Committee on Data Engineering (DE)
- IEICE Technical Committee on Reconfigurable Systems (RECONF)
[Important Dates]
- Mar. 12, 2024, 17:00 JST: Paper registration due
- Mar. 19, 2024, 17:00 JST: Paper upload due
- Apr. 30, 2024: Author notification
- Jul. 9, 2024: Poster submission due
- Jul. 10, 2024: Author notification (poster)
- Aug. 7-9, 2024: SWoPP 2024 (xSIG schedule will be announced)
[Scope and Objectives]
xSIG (cross-disciplinary workshop on computing Systems, Infra-
structures, and programminG) is a workshop from 2017,
inheriting the tradition of JSPP,SACSIS,and ACSI. It solicits
contributions from a wide range of fields related to computing systems,
infrastructures, and programming, spanning all areas covered by the
sponsoring special interest groups (cross-SIG).
The main objectives of xSIG are to provide a forum to present and
discuss research ideas among researchers spanning many fields and to
raise young researchers through a globally standard peer review process.
In particular,
- We hope authors of xSIG workshop to advance their research based on
feedback received and step up to submitting their work to
international conferences and journals. We do not publish
workshop proceedings. The papers presented in xSIG will be available
only to the audience during the workshop. For those who want to
publish their work, we collaborate with IPSJ Transactions on ACS for
Special Issue on xSIG.
- We hope to give authors substantial feedback as well as a place for
young researchers to practice/improve writing papers for review,
through the globally standard conference format of submitting papers
for review, receiving/writing reviews, discussing papers in the
program committee meeting, etc. For this, we establish
Young Program Committee alongside the regular Program
Committee and welcome the participation of young researchers
including students to it, for "an early exposure" of motivated
students to peer review work normally done by senior researchers.
- We award many students.
From 2020, xSIG is co-located with SWoPP event (Summer United Workshops
on Parallel, Distributed and Cooperative Processing), in which many SIGs
on computing systems held workshops.
[Organization]
Program Chair
KOURAI, Kenichi (Kyushu Institute of Technology)
Program Vice-Chairs
ARAI, Junya (NTT)
OHSHIMA, Satoshi (Kyushu University)
SHIOYA, Ryota (The University of Tokyo)
Poster Chair
HIRAISHI, Tasuku (Kyoto Tachibana University)
Program Secretary
MASUI, Koki (Osaka University)
Organizing Chair
KOIBUCHI, Michihiro (National Institute of Informatics)
Organizing Committee
INOUE, Hiroshi (IBM)
IWASHITA, Takeshi (Kyoto University)
ENDO, Toshio (Tokyo Institute of Technology)
OGUCHI, Masato (Ochanomizu University)
GODA, Kazuo (The University of Tokyo)
GOSHIMA, Masahiro (National Institute of Informatics)
TAURA, Kenjiro (The University of Tokyo)
TAKEFUSA, Atsuko (National Institute of Informatics)
TAKIZAWA, Hiroyuki (Tohoku University)
TSUMURA, Tomoaki (Nagoya Institute of Technology)
NAKADA, Hidemoto (National Institute of Advanced Industrial Science
and Technology (AIST))
--
新井 淳也 (ARAI Junya), PhD
Computer & Data Science Labs, NTT Corp.
DBJAPANの皆様
ABC2024の看護行動ビデオからの行動認識チャレンジですが、参加申し込み締め切りが3/6です。
十分申し込みは集まっておりますが、今一度アナウンスさせていただきます。
*** Call For Challenge Participants ***
Dear Researchers/Authors,
You are invited to participate in the 6th ABC Challenge (
https://abc-research.github.io/challenge2024), in conjunction with the 6th
International Conference on Activity and Behavior Computing at Nakatsu and
Kitakyushu, Japan (Hybrid), on May 28 - 31, 2024.
The 6th ABC Challenge is the Activity Recognition of Nurse Training
Activity Using Skelton and Video Dataset with Generative AI. Activity types
are each action of Endotracheal suctioning.
https://abc-research.github.io/challenge2024/
The dataset will provide the skeleton data for training/testing and the
video data only during the training.
The skeleton data include many data which recognized only partial parts of
the body due to camera location limitations.
Participants are required to use a Generative AI or LLMs (hereafter,
Generative AI) in a creative way.
Participants are required to recognize activities based on skeletal data.
Since the data collection was a practical experiment, camera locations were
limited by not showing the face, the size of the room, etc. Therefore, it
is not possible to recognize all of the body parts, and many skeleton data
had missing body parts. Additionally, Generative AI has been a hot topic in
recent years and its momentum will continue to increase. In order to
explore the potential for use in the field of activity recognition,
participants are required to utilize Generative AIs in a creative way.
Endotracheal suctioning (ES) is a necessary practice carried out in such as
intensive care units or even in a home by the family of patients. It
involves the removal of pulmonary secretions from a patient with an
artificial airway in place. The procedure is associated with complications
and risks including bleeding, and infection. Therefore, there is a need to
develop an activity recognition system that can ensure the safety of
patients as well as reflect to improve their skills while they conduct this
complicated procedure. Activity recognition can be used to aid nurses in
better managing and increasing the quality of their work, as well as
evaluate their performance when they conduct ES. The activity recognition
is the initial stage to determine the order of actions and assess the
nurse’s skills.
CHALLENGE GOAL & TASK
The goal of this challenge is to recognize 9 activities in Endotracheal
suctioning (ES) by using skeleton data for training/testing and video only
for training. In this challenge, participants are required to use a
Generative AI in a creative way. For evaluation, we will consider the F1
score and the paper contents. We will consider the average F1 score for all
the subjects.
The data we provide is a part of the dataset used in our previous work,
entitled “Toward Recognizing Nursing Activity in Endotracheal Suctioning
Using Video-based Pose Estimation” [1]. The authors of this work proposed
an algorithm to define and track the main subject. Also, missing keypoints
problems due to the performance of the pose estimation algorithm are
improved by smoothing keypoints.
[1] Hoang Anh Vy Ngo, Quynh N Phuong Vu, Noriyo Colley, Shinji Ninomiya,
Satoshi Kanai, Shunsuke Komizunai, Atsushi Konno, Misuzu Nakamura, Sozo
Inoue: “Toward Recognizing Nursing Activity in Endotracheal Suctioning
Using Video-based Pose Estimation”, The 5th International Conference on
Activity and Behavior Computing, 2023, (Germany).
DATASET OVERVIEW
There are two types of data in this dataset:
Video: recorded from the front side of the nurse beyond the patient
mannequin. This video will be published only during training.
Pose Skeleton (keypoints): extracted from videos by using YOLOv7. This data
will be published for training and testing.
There are a total of 9 activities in the ES procedure. All the activities
are listed in the below table.
9 Activity types in endotracheal suctioning and their id are below,
{ 0: “Catheter preparation”, 1: “Temporal removement of an artificial
airway”, 2: “Suctioning phlegm”, 3: “Refitting the artificial airway”, 4:
“Catheter disinfection”, 5: “Discarding gloves”, 6: “Positioning”, 7:
“Auscultation”, 8: “Others” }
IMPORTANT DATES
Registration closes: Mar 6, 2024
Submission of results: Mar 20, 2024
Submission of paper: Mar 27, 2024
Review sent to participants: Apr 10, 2024
Camera-ready papers: Apr 17, 2024
Conference: May 29 - 31, 2024
PRIZES
The winning team will be awarded 100,000 JPY.
The registration fee for the 1st and 2nd runner-up teams will be waived.
Each of the participating teams will be awarded with a participation
certificate.
ORGANIZERS
Haru Kaneko, Kyushu Institute of Technology
Anh Vy Ngô, Kyushu Institute of Technology
Ryuya Munemoto, Kyushu Institute of Technology
Iqbal Hassan, Kyushu Institute of Technology
Tahera Hossain, Aoyama Gakuin University
Sozo Inoue, Kyushu Institute of Technology
FAQ
Submit your questions to abc2024(a)sozolab.jp with the subject *Challenge
title*