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TENCON 2023 Accepted Special Sessions

This year, the IEEE Region 10 Technical Conference 2023 (IEEE TENCON 2023) will be organized in Chiang Mai, Thailand, during 31 October - 3 November 2023 (https://www.tencon2023.org).

 

On behalf of the Technical Program Committee, we are delighted to inform you the accepted special session as presented below.

 

The prospective authors who wish to present their research work under our prestigious special session can follow the author submission guideline to submit a paper by the conference deadline.  The special session paper will undergo the same review process as the regular papers. 

Special Session 1:
Next Generation of Affective Computing (NGAC)

Invitation code: q7ag6

Organizer: Prarinya Siritanawan, Japan Advanced Institute of Science and Technology (prarinya (a) jaist.ac.jp)

 

Co-organizers:

1. Kazunori Kotani, Japan Advanced Institute of Science and Technology, Japan

2. Teeradaj Racharak, Japan Advanced Institute of Science and Technology, Japan

3. Natthawut Kertkeidkachorn, Japan Advanced Institute of Science and Technology 

4. Chu Hsuan Hsueh, Japan Advanced Institute of Science and Technology, Japan

5. Shinobu Hasegawa, Japan Advanced Institute of Science and Technology, Japan

6. Haruyuki Kojima, Kanazawa University, Japan

7. Konlakorn Wongpatikaseree, Mahidol University, Thailand

8. Hung Viet Nguyen, Ho Chi Minh City University of Education, Vietnam

Abstract

Over the past few decades, there has been an exponential increase in the volume, velocity, and variety of human behavioral data generated from interactive platforms. The recent pandemic has elevated the provision of interactive services such as mental health consultations or education, to online platforms. Despite increased accessibility, virtual interactions have presented new challenges, including difficulty in detecting emotional cues. The existing solutions for affective computing are often limited to specific applications and may not accurately reflect emotional expressions in culturally diverse settings. This special session will bring together experts from academia and industry across different countries to discuss and showcase the latest advancements in affective computing. We encourage submissions on topics such as emotion recognition, sentiment analysis, affective user experience design, and ethical considerations in affective computing. The core topics of this special section include but are not limited to: Facial expression and gesture recognition and analysis, Speech recognition, Sentiment analysis, Emotion recognition and psychological analysis, Behavior engagement estimation, Mental health assessment.

Special Session 2:
Education Technology and Innovation

Invitation code: h576m

Organizer: Proadpran Punyabukkana, Chulalongkorn University
(proadpran.p (a) chula.ac.th)

 

Co-organizers: Supachai Chuenjitwongsa, Chulalongkorn University, Thailand,
Abstract

Inevitably, knowledge in every field has been rapidly advancing along with technological progress, resulting in the rapid evolution of knowledge acquisition. This has led to changes in learning behavior among students. Thus, it is crucial that the teaching methods must seek innovative approaches to lead and support the changing environment and learning behavior. This special session brings together educational innovations from researchers and teachers from any level, be it elementary, secondary, or university. Our venue also welcomes ideas and solutions for an equitable society to promote education for all.

Special Session 3:
Industry 4.0 Adoption towards Sustainable
Manufacturi
ng

Invitation code: ve3y7

Organizer: Premaratne Samaranayake, Western Sydney University, Australia
(p.samaranayake (a) westernsydney.edu.au)
Abstract

Sustainable manufacturing encapsulates a balanced approach to meeting economic objectives, environmental conditions, and social factors from the perspectives of specific dimensions in the manufacturing industry sector. Sustainable manufacturing covers the three integral elements of products, processes, and systems that enable sustainable value creation and economic growth. Three broader dimensions of sustainability have been studied from several perspectives across different manufacturing industry sectors. The product, process, and system integration is vital for sustainable manufacturing. The adoption of Industry 4.0 technologies has transformed traditional products, processes, and systems to a higher level, including products with digital features, processes supported by I4 technologies, and systems connected/updated with real-time data for big data analytics. This special session puts together some recent research studies related to the broader topic of Industry 4.0 enabled sustainable manufacturing, covering four key categories and including

(i) Sustainable product design and development,

(ii) Sustainable manufacturing process,

(iii) Sustainable SCM, and

(iv) Sustainable end-of-life management.

Special Session 4:
Autonomous Robotics, Industrial
Automation, and Control Systems

Invitation code: fi19t

Organizer:
  • Assoc. Prof. Dr. Peerayot Sanposh,

        Kasetsart University, Thailand

         Email: peerayot.s(a)ku.ac.th

  • Assoc. Prof. Dr. Sutthiphong Srigrarom,

         National University of Singapore, Singapore

         Email: spot.srigrarom(a)nus.edu.sg

Abstract

This special session will focus on the latest developments and research in the field of autonomous robotics, industrial automation, and control systems. These areas have seen significant growth in recent years, and this session aims to provide a platform for researchers and industry professionals to share their knowledge, experiences, and ideas.

 

The topics of interest for this special session include but are not limited to:

  • Autonomous robots and unmanned systems

  • Control theory and applications

  • Control systems and instrumentation

  • Image processing and virtual reality in manufacturing

  • Industrial automation and process control

  • Intelligent control systems and optimization

  • Machine learning and artificial intelligence in control systems.

  • Motion control and robotics

  • Navigation and localization of robots

  • Networked control systems and communication

  • Robotics and automation in manufacturing

  • Safety and security of autonomous systems

  • Smart grid, energy, and power control

Researchers, industry professionals, and students are invited to submit their original and unpublished research papers in these areas. The submissions will be peer-reviewed by experts in the field, and the accepted papers will be included in the conference proceedings.

Special Session 5:

Anomaly Detection

Invitation code: khu2h

Organizer

  • Thittaporn Ganokratanaa, King Mongkut's University of Technology Thonburi

        Email : thittaporn.gan@kmutt.ac.th

Co-organizers

  • Supavadee Aramvith, Chulalongkorn University, Thailand

  • Rhandley Cajote, Electrical and Electronics Engineering Institute, Philippines

Abstract

    Surveillance has rapidly gained increasing popularity as a modern technology, which can be used to ensure life safety and break the wall of security mistrust. Anomaly detection is of great significance for intelligent surveillance systems. An abnormal or anomalous event refers to an activity that raises suspicions by differing from the majority of the activities. The challenges of anomaly detection relate to complex and crowded scenes, the anomaly localization, small anomaly datasets, and many false-positive detection results. The existing solutions for effective anomaly detection are often limited to specific scenarios. There is a room for an improvement regarding the detection and localization problems and time complexity. This special session will bring together experts from academia and industry across different countries to discuss and showcase the latest advancements in anomaly detection. We encourage submissions on topics such as object detection and localization and real-world anomaly detection applications. The core topics of this special section include but are not limited to: image and video anomaly detection, anomalous detection in digital signal and network, abnormal event localization, pattern recognition and data analysis, human-computer interaction.

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