Special Session:
Interdisciplinary Aspects of AI, IoT for Industrial and Medical
Applications, and Social Deployment
Session Organizers
▪ Assoc. Prof. Takanobu Otsuka, Nagoya Institute of Technology,
Japan
▪ Assoc. Prof. Shintaro Oyama, Nagoya University, Japan
▪ Asst. Prof. Kosuke Shima, Nagoya Institute of Technology,
Japan
Assoc. Prof. Takanobu
Otsuka
Nagoya Institute of Technology, Japan
Dr. Takanobu Otsuka is an Associate Professor at the Nagoya
Institute of Technology. He received an M.E and Doctor of
Engineering from the Nagoya Institute of Technology in 2011 and
2016, respectively. From 2012 to 2015, he was an Assistant
Professor at the Nagoya Institute of Technology. From 2015 and
2016, he was a visiting researcher at UCI (the University of
California Irvine).
His main research interests include IoT, multi-agent systems,
intelligent agents, distributed systems, and software
engineering on offshoring.
Assoc. Prof. Shintaro
Oyama
Nagoya University, Japan
Dr. Shintaro Oyama is an Associate Professor at the Innovative
Research Center for Preventive Medical Engineering (PME),
Institute for the Innovation for Future Society, Nagoya
University, Tokai National University Organization, and is
currently involved in industry-academia collaborative research
in a wide range of areas.
He graduated from Nagoya University School of Medicine in 2007,
and obtained his medical license. While working as a orthopedic
and hand surgeon, he has been engaged in research in the areas
of machine learning and photonics as a junior research associate
in the Image Information Processing Research Team at RIKEN since
2013. He has also been involved in the development of medical AI
and medical xR technologies at the Medical IT Center and xR
Center in Nagoya University Hospital (NUH).
His research themes are; Medical AI, Software as a Medical
Devices, Medical IoTs, Social Healthcare Systems, Medical
Informatics.
Asst.
Prof. Kosuke Shima
Nagoya Institute of Technology, Japan
Dr. Kosuke Shima is an Assistant Professor at Nagoya Institute
of Technology. He graduated from Nagoya Institute of Technology
in 2021, and received Doctor of Engineering. In 2021, he was a
project researcher at Nagoya Institute of Technology.
His main research interests are time-series data analysis,
motion analysis, and skill-transfer support system.
Accepted Papers
August 5, 2023 14:30-15:45
(12min Presentation & 3min Discussion for each paper)
1. Paper Title: Using IoT Technology to Detect Presenteeism in
Nurses
Authors: Keiko Yamashita, Shintaro Oyama, Teruhiko Suzuki, Yuji
Sakamoto, Yoshinori Ideno, Akiko Fujii, Kensaku Mori and
Yoshimune Shiratori
Presenter: Keiko Yamashita
2. Paper Title: Multiobjective Optimization Analysis for Finding
Infrastructure-as-Code Deployment Configurations
Authors: Eneko Osaba, Josu Díaz-de-Arcaya, Juncal Alonso, Jesús
L. Lobo, Gorka Benguria and Inaki Etxaniz
Presenter: Eneko Osaba
3. Paper Title: Proposal and Implementation of Support System
for Care Workers Using Non-Contact Vital Signs Sensor and LPWA
Authors: Shunya Hibino, Takeshi Wada and Takanobu Otsuka
Presenter: Shunya Hibino
4. Paper Title: Proposal and Implementation of Ball Screw
Abnormality Detection System for Preventive Maintenance of
old-type Facilities
Authors: Soma Maeda, Koki Katagiri, Shuto Kawakita and Takanobu
Otsuka
Presenter: Soma Maeda
5. Paper Title: Development of An Optimal Utilization Method for
Medical Equipment Using Power Management IoT Power Strips
Authors: Shintaro Oyama, Takanobu Otsuka, Kosuke Shima and
Yoshinori Ideno
Presenter: Shintaro Oyama
Introduction
Artificial Intelligence (AI) and the Internet of Things (IoT)
are empowering and widely used in society, industry, and the
medical field. In particular, many achievements have been made
in the industrial and medical fields. We aim to be at the
forefront of their dissemination to academics and the general
public as a social infrastructure worldwide. In a broad sense,
AI is a series of processes that use various methods to find
meaning and value in the data collected by the IoT. These have
the potential to solve various problems that exist in human
society.
In this particular track, we welcome submissions to present new
research issues and examples of social implementations related
to AI and IoT technologies for the practical application of AI
and IoT across disciplines. Submissions to this track should
report actual and significant unpublished results on any aspect
of society or the medical and industrial communities.
We plan to provide a unified platform for innovative research in
the core and applied areas by sharing demonstrations and the
latest research in AI and IoT. Unique Tracks currently include,
but are not limited to, the following topics.
- Image recognition
- Machine Learning
- Knowledge representation, reasoning, and planning
- IoT and medical and Industrial practice
- Learning and adaptation
- AI and IoT for Human Learning and Behavior Change
- AI and IoT in Business
- Pattern Recognition
- Big Data and AI
- semi-supervised and unsupervised learning
- Reinforcement learning
- Innovative applications
Co-organized by
▪ New Energy and Industrial Technology Development Organization
(NEDO) (Public-Private Young Researcher Discovery Support
Program), Japan
▪ AIMAILs, National University Organization Nagoya University,
Japan
▪ Co-Creation IoT Infrastructure Research Center, Nagoya
Institute of Technology, Japan
Submission method
Submit your Full Paper (no less than 8 pages) or your paper
abstract-without publication (200-400 words) via
Online Submission System, then choose
Track: ICCCM 2023-Special Session
Template Download