GCCE 2025 received many proposals for Organized Sessions through two deadlines.
The committee has accepted the following OSs. Thank you for OS chairs' contributions.
All Accepted Organized Sessions are listed below.
| Chair: | Kazuhiko Kawahara, JP (Kyushu University) |
| Co-Chairs: | Yoshifumi Chisaki, JP (Chiba Institute of Technology) |
| Kazuma Hoshi, JP (Nihon University Junior College) |
| Keywords: |
measurement and instrumentation of audio devices, including transducers |
| audio signal processing |
| spatial audio |
| room acoustics |
| perception and evaluation of audio applications |
| Abstract: |
In the contemporary era, digital audio products have experienced significant growth within the consumer electronics field. Innovative and advanced technologies are required to enrich our new audio and acoustic experiences. Furthermore, a re-examination of contemporary audio engineering is imperative to facilitate the design of innovative audio devices and products.The objective of this organized session is to facilitate a discussion of recent research outcomes pertaining to the techniques and applications of audio engineering. Topics to be addressed include audio digital processing, spatial audio, room acoustics, networked audio applications, entertainment, and perception and evaluation of such applications. |
| Chair: | Koichi Kobayashi, JP (Hokkaido University) |
| Co-Chairs: | Shingo Yamaguchi, JP (Yamaguchi University) |
| Ichiro Toyoshima, JP (Toshiba Energy Systems & Solutions Corporation) |
| Kenji Sawada, JP (The University of Electro-Communications) |
| Keywords: |
formal specification and modeling |
| model-based development |
| reactive, real-time, hybrid, and cyber-physical systems |
| interdisciplinary approach with data science or mathematical optimization |
| application to practical systems |
| Abstract: |
Establishing the reliability of networked consumer electronic products is important. The uses of formal/mathematical methods are known as a promising approach in designing reliable consumer electronic products.
The organized session aims at stimulating research on formal/mathematical approach to consumer electronics and its applications.
The major topics include formal specification and modeling; model-based development; formal verification; application to real-time, hybrid and dependable systems; formal methods for safety, security, and reliability; computer tools; and applications.
The session organizers also welcome authors to submit reports on interdisciplinary approach, with data science or mathematical optimization and so on. |
| Chair: | Sho Takahashi, JP (Hokkaido University) |
| Co-Chairs: | Takumi Asada, JP (Muroran Institute of Technology) |
| Mitsugu Kakuta, JP (Nippon Sport Science University) |
| Keisuke Maeda, JP (Hokkaido University) |
| Masahiro Yagi, JP (Hokkaido University) |
| Keywords: |
digital-twin & data acquisition |
| geographic information & global navigation satellite system |
| sports data analysis |
| augmented / mixed reality & virtual reality |
| artificial intelligence for actual data |
| Abstract: |
Various techniques have been provided not only electronics devices but also the methods of data analysis such as mainly the machine learning for solving actual problems. In addition, the related researches are also actively progressing in each field, and these advance daily. These techniques and researches enhance human abilities in the traditional process of various works and social infrastructures. Especially, these techniques and research results are applying to solve the problems in the infrastructure management, new mobility systems, and sports training and management etc. This session welcomes all researches and techniques in the field of the above. |
| Chair: | Sulin Chi, JP (Otemon Gakuin University) |
| Co-Chair: | Hsuan-Fu Wang, TW (National Formosa University) |
| Keywords: |
AI |
| IoT |
| UAV |
| wireless communication |
| Abstract: |
In recent years, generative AI has demonstrated remarkable capabilities across various fields of science and technology. This session aims to explore the wide range of applications of generative AI in communication society, the creation of a future where humans and generative AI co-exist, and the relationship between communication technologies and generative AI. We invite researchers, practitioners, and innovators to submit papers on the development and study of applications that address the challenges posed by rapid societal advancements. Submissions are welcome on all aspects of generative AI applications across various areas, as well as research examining the intersection of generative AI and communication technologies (beyond the topics above). Additionally, we encourage discussions on the potential misuse of this powerful technology. It's crucial to ensure its responsible and ethical deployment, a topic of utmost gravity. Therefore, we particularly welcome papers that investigate the risks, moral concerns, and potential misuses associated with generative AI. |
| Chair: | Binu Paul, IN (Cochin University of Science and Technology) |
| Keywords: |
artificial intelligence in vehicle safety |
| machine learning for accident detectio |
| sensor technologies in automotive safety |
| real-time emergency response systems |
| computer vision in transportation safety |
| Abstract: |
This session explores a groundbreaking Accident Detection System that leverages cutting-edge technologies to revolutionize road safety. By integrating Convolutional Neural Networks (CNNs), machine learning, acoustic sensors, and advanced data processing, the system provides comprehensive 360-degree vehicle monitoring. The research demonstrates an intelligent approach to accident detection, featuring automatic emergency alerts, nearby vehicle accident monitoring, and potential LiDAR sensor integration. The solution addresses critical challenges in rapid accident identification and response, potentially reducing severity of road incidents and saving lives through technologically advanced early warning mechanisms. |
| Chair: | Yen-Wei Chen, JP (Ritsumeikan University) |
| Co-Chair: | Tomio Goto, JP (Nagoya Institute of Technology) |
| Keywords: |
image filtering |
| super-resolution |
| photograph image processing |
| entertainment image processing |
| pattern recognition |
| computer graphics |
| display signal processing |
| other image processing technology |
| Abstract: |
In consumer application, the demand for image processing is increasing. In addition to the traditional television and camera, the new field of 3D application, photograph processing, entertainment image, image recognition, computer graphics, and image compression for personal use have been greatly progressed. In this session, every advanced image processing technology for consumer and personal application are encouraged. |
| Chair: | Shohei Kato, JP (Nagoya Institute of Technology) |
| Co-Chairs: | Takahiro Uchiya, JP (Nagoya Institute of Technology) |
| Atsuko Mutoh, JP (Nagoya Institute of Technology) |
| Ryota Nishimura, JP (Toyohashi University of Technology) |
| Keywords: |
AI, computational intelligence and intelligent informatics
- automated reasoning and reasoning under uncertainty
- search, SAT and CSP
- knowledge representation and knowledge management systems
- machine learning and data mining
- deep learning and deep reinforcement learning
- evolutionary computing, Bayesian and neural networks
- decision/utility theory, decision optimization and decision support systems
- fuzzy systems, genetic programming and soft computing
- cognitive modeling and semantic web
|
AI in consumer electronics and service science
- service oriented computing and applications
- big data, cloud computing and data-intensive applications
- web search and information retrieval
- simulation and AI/expert systems in service management
- integration systems for healthcare, assistive technology and real life applications
|
applied intelligent systems and domain specific applications
- robotics, computer vision and games
- natural language processing and understanding
- bioinformatics, computational biology, medicine and biomedical applications
- WWW, communication, social networking and recommender systems
- games, E-commerce, and financial applications
|
agent-based approach and multi-agent systems
- computational game theory
- agent-based modeling and simulation
- agent-based scheduling, planning, and optimization
- artificial life and artificial societies
- emergent behavior
- negotiation, auctions and mechanism design
- distributed problem solving
- service oriented computing
- ubiquitous computing and ambient intelligence
|
robotics and automation
- automation technologies for ITS and smart cities
- applications of social robots in entertainment, service robotics and others
- brain machine interface
- humanoid robots, domestic robots, personal robots and service robots
- human-centered automation
- rehabilitation robotics and assistive robotics
- robots in education, therapy and rehabilitation
- simultaneous localization and mapping
- swarm intelligence and stigmergic behavior
- swarm robotics
|
| Abstract: |
Advances in AI and robotics research provide a lot of benefits to consumer electronics and service science. For example, reasoning under uncertainty, machine learning, data mining, multi agent systems, and human-robot/agent interaction may be key technology for sophisticated service oriented computing and brilliant applications for consumer electronics. In this session, every advanced AI and/or robotics technology, especially the following research topics on practical AI and robotics applications are encouraged.
|
| Chair: | Woong Choi, KR (Kangnam University) |
| Co-Chair: | Liang Li, JP (Ritsumeikan University) |
| Keywords: |
metaverse convergence |
| deep learing |
| block chain |
| embodied AI |
| digital security convergence |
| Abstract: |
This section explores the convergence of cutting-edge technologies in the creation of an AI-based metaverse. By integrating deep learning techniques with blockchain frameworks, embodied AI paradigms, and robust digital security protocols, we propose a unified ecosystem that redefines virtual interactions and data integrity. Deep learning serves as the backbone for intelligent decision-making and dynamic content generation, while blockchain technology ensures transparency and trust through decentralized transaction management. Embodied AI enhances user experiences by providing realistic, interactive digital avatars that bridge the gap between physical and virtual realms. Moreover, the convergence of advanced digital security measures addresses critical concerns related to privacy and data protection in an increasingly interconnected digital landscape. Together, these convergent technologies pave the way for a secure, immersive, and intelligent metaverse, opening new avenues for research and applications in diverse fields. |
| Chair: | Chih-Peng Fan, TW (National Chung Hsing University) |
| Co-Chairs: | Yu-Cheng Fan, TW (National Taipei University of Technology) |
| Wan-Jung Chang, TW (National Kaohsiung University of Science and Technology) |
| Keywords: |
artificial intelligence and learning based design |
| intelligent edge computing |
| advanced signal & image processing technologies |
| edge-based deep-learning acceleration |
| Abstract: |
In recent years, the AI-based deep-learning digital image processing and advanced signal processing technologies have revealed the extreme significance in smarter consumer products. To develop intelligent consumer-electronics technologies for the next-generation autonomous vehicles and smarter home/life products, the intelligent edge devices must strengthen their edge computing capability dramatically by using advanced and effective signal processing methodologies, which will involve the deep-learning based object detection and classification technologies, hardware-based deep-learning accelerator design, advanced edge-based digital image processing technology, advanced edge-based digital signal design and analysis technology, etc. By using the intelligence and emerging edge computing based circuit and system designs, the next-generation consumer-electronics products will effectively raise and expand the application fields in our daily life. |
| Chair: | Shingo Yamaguchi, JP (Yamaguchi University) |
Co-Chair: | Brij B. Gupta, TW (Asia University) |
| Keywords: |
information security |
| cyber security & forensics |
| security, trust & privacy measurement |
| mobile & web security |
| Abstract: |
Cyber security is an increasingly important requirement for global business and modern society as day to day operations are significantly hindered when Internet is “down”. Therefore, the challenge is to understand cyber risk and development of an effective cyber security system as technology continues to rapidly evolve and our systems become ever more complex. Trustworthiness and security of the Internet not only benefit on-line businesses, but they also strengthen public safety (and/or national security).
The objective of this special session is to provide a premier international platform to attract participants to discuss and present the most recent challenges and developments for knowledge enhancement in the area of cyber security and its best practices for the real world. This special session will be very beneficial for the participants to present their innovative ideas and to interact with some pioneer researchers in cyber security research domain. |
| Chair: | Arata Koike, JP (Tokyo Kasei University) |
Co-Chairs: | Xiaodong Lu, JP (Electronic Navigation Research Institute) |
| Atsushi Kanai, JP (Hosei University) |
| Toru Kobayashi, JP (Komazawa University) |
| Shigeaki Tanimoto, JP (Japan International University) |
| Qian Wu, JP (Hosei University) |
| Keywords: |
digital transformation |
| cyber-physical systems |
| security technologies and security management |
| cloud cooperation computing |
| service assurance |
| Abstract: |
With the spread of the heterogeneous devices (smart phones, many kinds of sensors, surveillance cameras, drones, robots, and other kinds of consumer electronics) connected to the Internet and cloud services, we are in the middle of the digital transformation era. Therefore, the importance of secure Cyber-Physical Systems (CPS) will continue to grow with the increasing pervasiveness of Information Communication Technology (ICT) and the development of the Internet or Intelligence of Things (IoT). In this organized session, we encourage to submit all technical issues about digital transformation applications (including digital twin), cloud cooperation computing, cloud cooperation management, security and security management for CPS, cloud for service assurance. We welcome wide range of technologies and applications for smart Cyber-Physical Systems. |
| Chair: | Hideyuki Takahashi, JP (Tohoku Gakuin University) |
| Co-Chairs: | Kazuya Sugiyasu, JP (Iwate Prefecture University) |
| Nobuhide Yokota, JP (Tohoku University) |
| Yujin Lim, KR (Sookmyung Women's University) |
| Keywords: |
consumer electronics, systems & services for disaster risk reduction |
| issues & trends of information technologies for disaster risk reduction |
| internet of things & artificial intelligence for disaster risk reduction |
| protocol, network & middleware for disaster risk reduction |
| support technologies for recovery & reconstruction |
| Abstract: |
Various large scale disasters have become more frequent in recent years, and we need to consider the importance of strengthening our resilience and sustainability against natural disasters through the development of practical disaster risk management and new technologies related to consumer electronics, systems, and services. This organized session aims at practical research and study, new consumer electronics, advanced information technology including Internet of Things (IoT) and Artificial Intelligence (AI), and novel system and application for disaster risk reduction. This organized session also welcomes various researches and technologies related to disaster risk reduction or recovery and reconstruction. |
| Chair: | Yuanyuan Wang, JP (Yamaguchi University) |
| Co-Chairs: | Mohd Anuaruddin Bin Ahmadon, MY (Petronas University of Technology) |
| Shingo Yamaguchi, JP (Yamaguchi University) |
| Yukiko Kawai, JP (Kyoto Sangyo University) |
| Keywords: |
data science and analytics |
| data mining and data streams |
| deep learning / machine learning |
| big data and internet of things |
| recommender systems |
| Abstract: |
Nowadays, the internet and smart devices around us gather a large amount of data, which holds many potentials to improve our lives from many perspectives. Therefore, data science emerges as an interdisciplinary field that involves scientific methods in processes, algorithms, and systems to extract and analyze data that exists in various forms. Starting with raw data, the data is processed and analyzed by utilizing data models and algorithms such as machine learning and statistical analysis methods. Then, decision-making and data visualization are provided to support service recommendations, business analytics, and improving systems. This session invites researchers from various fields that focus on methodologies in data science, big data, and its visualization techniques, as well as its application to consumer technology, including (but not limited to) smart systems and the Internet of Things, network and security, or games and social media. We particularly welcome contributions that describe systems or tools related to data analytics, machine learning, recommender systems, and so on. We also highly encourage researchers to show their latest research work. |
| Chair: | Masao Isshiki, JP (Kanagawa Institute of Technology) |
| Co-Chairs: | Hidekazu Suzuki, JP (Meijo University) |
| Takashi Murakami, JP (Panasonic Corporation) |
| Van Cu Pham, JP (Japan Advanced Institute of Science and Technology) |
| Keywords: | ECHONET Lite |
| IoT smart home |
| open platform |
| communication interface |
| devices |
| Abstract: |
ECHONET Lite (ISO/IEC 14543-4-3) is an International Open Standard on the IoT Smart Home area of sensing and controlling.
Already in the parts of the world, ECHONET Lite has been implemented in many devices and software related to HEMS, BEMS and many kind of service.
So we want practical survey on the devices and software with ECHONET Lite. Share and discussion on the good practice should be conducted for contributing to the world better life and future living.
Open standards like ECHONET Lite will be made an open practical platform which will be innovate the world, so we want to discuss more for future technologies and business platform. |
| Chair: | Kingkarn Sookhanaphibarn, TH (Bangkok University) |
| Co-Chairs: | Worawat Choensawat, TH (Bangkok University) |
| Ponlawat Khamlae, TH (Bangkok University) |
| Keywords: | data analytics & AI in drone technology |
| Precision applications of drones in various sectors |
| climate & environmental monitoring using drones |
| emerging innovations & future directions in drone tech |
| policy, regulation, and ethical considerations in drone usage |
| Abstract: |
As drone technology rapidly evolves, its applications are extending far beyond traditional boundaries, offering innovative solutions across multiple sectors. This special session, titled "Drone Technology and Its Applications," aims to explore how drones are revolutionizing fields such as agriculture, environmental monitoring, infrastructure inspection, disaster response, and beyond. By focusing on data-driven decision-making, real-time sensing, and AI integration, drones play a pivotal role in enhancing efficiency, sustainability, and resilience in the face of global challenges. This session will bring together experts, researchers, and practitioners to discuss the latest advancements, practical applications, and future opportunities in drone technology—highlighting how it can serve as a key enabler in building smarter, safer, and more sustainable systems worldwide. |
| Chair: | Mustafa Can Gursesli, IT (University of Florence) |
| Co-Chairs: | Antonio Lanata, IT (University of Florence) |
| Anna Enrica Tosti, IT (University of Florence) |
| Ruck Thawonmas, JP (Ritsumeikan University) |
| Ibrahim Khan, JP (Ritsumeikan University) |
| Keywords: |
serious games |
| game AI |
| gamification |
| virtual reality |
| game-based interventions |
| Abstract: |
The changing nature of consumer technology is leading to a fundamental shift in how games are developed, experienced, and used. What was once purely an entertainment media is now a dynamic platform for education, mental health support, skills development, and social innovation. Modern games integrate intelligent systems, immersive hardware, and responsive design, making them a compelling tool for engagement and meaningful impact. This session invites a deep dive into how contemporary consumer technologies (from mobile sensors and virtual reality headsets to AI-powered companions and adaptive feedback systems) are reshaping the design and function of games. We aim to explore not only how these innovations enhance gameplay but also how they can drive positive outcomes in real-world contexts. By showcasing applications in areas as diverse as rehabilitation, emotional well-being, sustainability, and collaborative learning, the session will highlight the growing relevance of serious games and gaming in modern, tech-driven society. The topics of this session include, but are not limited to, serious games, consumer technologies, virtual and augmented reality, emotion-aware systems, gamification, and AI-driven game design. |
| Chair: | Kingkarn Sookhanaphibarn,TH (Bangkok University) |
| Co-Chair: | Worawat Choensawat, TH (Bangkok University) |
| Ponlawat Khamlae, TH (Bangkok University) |
| Keywords: |
collaborative learning tools in the metaverse |
| simulation systems in educational contexts |
| integration of virtual reality in education |
| monitoring technologies for learning assessment |
| sensing device technology for interactive learning |
| Abstract: |
This session aims to unify researchers, engineers, and industry professionals in a comprehensive discussion on the transformative potential of virtual reality (VR), augmented reality (AR), and the metaverse in the realm of education and training. With a focus on leveraging these advanced technologies to revolutionize traditional learning environments and training methodologies, our objective is to highlight innovative applications that facilitate immersive learning experiences, enhance skill acquisition, and promote interactive engagement across various fields. Every presentation in this session will cover a wide array of practical research areas, such as simulation systems, intelligent educational resources, monitoring technologies, and digital signal processing, all with the aim of enhancing educational achievements and the efficacy of training programs. Additionally, the session will explore the integration of consumer electronics and sensing device technology in creating supportive and adaptive learning ecosystems. By addressing the challenges and opportunities within these areas, this session aims to chart a course for future advancements in education and training through the lens of extended reality and the metaverse.
|
| Chair: | Chien-Hsu Chen, TW (National Cheng Kung University) |
| Co-Chairs: | Min-Yuan Ma, TW (National Cheng Kung University) |
| Yang-Cheng Lin, TW (National Cheng Kung University) |
| Keywords: |
VR/AR/AI for healthcare and medical challenges |
| gamification design |
| wearable device design |
| gerontechnology |
| human-centered design |
| Abstract: |
As societies face aging-related and medical challenges, emerging and sensing technologies such as AI, VR, AR, and smart healthcare solutions play a crucial role in enhancing usability, accessibility, and overall quality of life. This session welcomes research and design case studies that apply these technologies using human-centered approaches to bridge the gap between technology and design. We aim to foster discussions on future trends, challenges, and opportunities in the field. Topics of interest include innovative solutions in healthcare, wearable and assistive technologies, smart environments, and intelligent systems. Researchers, practitioners, and industry experts are invited to share insights that push the boundaries of innovation in smart products and services. |
| Chair: | Fahim Khan, JP (Toyo University) |
| Co-Chair: | Noboru Koshizuka, JP (The University of Tokyo) |
| Keywords: |
GenAI for environmental sustainability, climate action and humanitarian aid |
| GenAI for medicine, healthcare and well-being |
| GenAI for education, knowledge dissemination and software development |
| GenAI for media, arts, heritage and cultural preservation |
| bias mitigation, fairness, privacy and security in GenAI applications |
| Abstract: |
Powered by Large Language Models (LLMs), Generative AI (GenAI) has demonstrated remarkable capabilities in creating novel content, from text and images to music and code. This organized session aims to explore the transformative potential of GenAI for addressing pressing societal challenges and fostering positive social impact. We invite researchers, practitioners, and innovators to submit their original work on the development and application of GenAI techniques for social good. In essence, novel use cases and applications of GenAI in any societal sector (not limited to the key words listed above) are welcomed. Furthermore, understanding the potential misuse of this powerful technology is crucial for ensuring its responsible application; therefore, we also invite papers that examine the abuse and ethical issues related to generative AI capabilities. |
| Chair: | Tadaaki Ikehara, JP (Shonan Institute of Technology) |
| Co-Chairs: | Kazuyuki Kojima, JP (Shonan Institute of Technology) |
| Nobuo Funabiki, JP (Okayama University) |
| Htoo Htoo Sandi Kyaw, JP (Tokyo University of Agriculture and Technology) |
| Keywords: | assistive technology |
| mobility aids |
| communication support |
| visual impairment |
| E-learning |
| Abstract: |
This session will spotlight the latest technological innovations and applications in human assistive devices. Prominent researchers, developers, and practitioners will discuss recent advancements and challenges in various areas such as mobility assistance, communication support, visual and auditory aids, among others. Participants will have the opportunity to learn about the impact of technological advancements on the lives of individuals with disabilities and discover new ideas and collaboration opportunities. |
| Chair: | Ryoichi Suzuki, JP (Kanazawa Institute of Technology) |
| Co-Chairs: | Seiji Nishifuji, JP (Yamaguchi University) |
| Shenglin Mu, JP (Ehime University) |
| Keywords: | health monitoring |
| life support technology |
| rehabilitation technology |
| assistive devices technology |
| mechatronics / robotics |
| Abstract: |
Staying healthy and improving the quality of life are crucial social issues in super-aging societies and countries such as Japan. The roles of high-quality technologies in health monitoring, personalized biomedicine and life support have been becoming more and more important to support these societies and countries. This session focuses on innovative and challenging research and technologies in healthcare and life support technologies which include advanced health monitoring sensors and devices, rehabilitation systems, assistive devices and systems, mechatronics, and robotics, personalized biomedical devices, sensors and systems and biomedical informatics. This session also welcomes all research and technologies regarding smart health monitoring and new life support technology in addition to the above challenging technical issues. |
| Chair: | Thi Thi Zin, JP (University of Miyazaki) |
| Co-Chair: | Hiromitsu Hama, JP (Osaka Metropolitan University) |
| Keywords: |
advanced image processing and potential of its applications |
| deep learning and their applications |
| Digital Twin Technology and Applications to Consumer World |
| internet of things and applications |
| Healthcare and Medical Imaging |
| Abstract: |
In the modern world IoT and AI technologies are making our daily livings better and smarter in all aspects no exception in consumer electronics. Thus, in order to make the quality of better life, technology itself is needed to be explored along with more applications by changing the ways we produce industrial and agricultural products harmony with new advances in information and communication such as 5-Gs and 6-Gs. In this aspect, we organize this session to focus on the utilizations of image technologies with IoT advances, AI and edge computing innovations in theoretical and practical aspects including basic technologies concerned. |
| Chair: | Jungsoo Park, KR (Kangnam University) |
| Co-Chairs: | Manhee Lee, KR (Hannam University) |
| Changhoon Kim, KR (Daegu University) |
| Sokjoon Lee, KR (Gachon University) |
| Keywords: |
information security |
| AI security |
| zero trust |
| Abstract: |
The increasing integration of consumer electronics with cloud computing, IoT, and AI presents new security challenges. This organized session explores emerging threats, cryptographic advancements, privacy-preserving techniques, and Zero Trust architectures. Topics include secure device authentication, data protection, AI-driven security, and risk mitigation strategies. By gathering experts from academia and industry, this session aims to foster discussions on innovative approaches to safeguarding consumer technologies. |
| Chair: | Guang Shi, Yunnan University, CN (Yunnan University) |
| Co-Chairs: | Renyuan Zhang, CN (Yunnan University) |
| Yirong Kan, JP (NARA Institute of Science and Technology) |
| Zheng Chen, JP (Osaka University) |
| Wu Man, JP (Keio University) |
| Haohui Jia, JP (Hokkaido University) |
| Keywords: |
intelligent medical decision systems |
| machine learning & health data analytics |
| telemedicine & IoT in healthcare |
| personalized therapy & precision medicine |
| medical ethics & data privacy |
| Abstract: |
This session focuses on cutting-edge technologies and applications in intelligent medical decision-making, exploring the role of AI, big data analytics, and IoT in healthcare decision support. Through case studies and technical demonstrations, experts will share innovative practices of intelligent systems in disease prediction, personalized treatment, and remote health management. The session aims to foster interdisciplinary collaboration, accelerate the clinical translation of smart healthcare technologies, and enhance global healthcare services. |
| Chair: | Tomotaka Wada, JP (Kansai University) |
| Co-Chairs: | Masahiro Fujii, JP (Utsunomiya University) |
| Naohisa Hashimoto, JP (National Institute of Advanced Industrial Science and Technology) |
| Keywords: |
intelligent vehicle, smart vehicle and connected vehicle |
| personal mobility and smart mobility |
| communications, networks, sensing and image processing |
| human machine interaction and Infrastructure cooperative system |
| ITS development and societal challenges for smart city |
| Abstract: |
Intelligent Transport Systems (ITS) are important systems utilizing synergistic technologies and systems integration engineering concepts to develop and improve various kinds of transport systems. ITS systems will lead to fundamental breakthroughs in safety, congestion reduction, driving comfort, and environmental friendliness, bringing them to levels far higher than those provided by current transport systems in near future. Smart City is also discussed by ITS recently. Many researchers and engineers advance the theoretical, simulated, experimental, and operational aspects of Electrical and Electronics Engineering, and Information and Communication Technologies as applied to ITS. The objective of this organized session is to discuss up to date research results concerned with ITS. |
| Chair: | Naoto Wakatsuki, JP (University of Tsukuba) |
| Co-Chairs: | Kojiro Nishimiya, JP (Kanagawa Institute of Technology) |
| Tadashi Ebihara, JP (University of Tsukuba) |
| Keywords: |
devices to support musicians, musical performance or musical education |
| analysis of musical performance |
| music information processing |
| electronic musical instruments |
| signal processing for music |
| Abstract: |
This session focuses on technologies and researches related to the tools for music creation, musical performance, developing musical instruments including electronic, acoustic, and electronically augmented acoustic ones. The technologies to support musical performance beginners or musicians are especially expected. But every research related to music or musical instruments is included. |
| Chair: | Md Shoaib Bhuiyan, JP (Suzuka University of Medical Science) |
| Keywords: |
signal extraction & analysis of bio signals |
| machine Learning including deep learning technologies |
| natural language processing |
| applications to the healthcare sector |
| applications to the education sector |
| Abstract: |
Various machine learning techniques will be used to observe patterns from data sets assembled over a long time period. May include processing of mechanical data, especially the signals/data of fluid flow under various working conditions. This will occasionally result into predictions and if so, we will strive to compare the actual results with those predictions.
Much work remains to be done to improve Natural Language Processing systems as they still lag human performance on many tasks, even after processing thousands of times more text than anyone can possibly read in a lifetime. Named entity recognition (NER) is an important task of finding entities with specific semantic types such as Protein, Cell, and RNA in text by addressing mostly with sequence labeling-based approach. Neural sequence labeling models have achieved state-of-the-art (SOTA) results for many NER tasks with advances of deep learning and we will have insights from latest work being done.
|
| Chair: | Tadashi Ebihara, JP (University of Tsukuba) |
| Co-Chair: | Naoto Wakatsuki, JP (University of Tsukuba) |
| Keywords: |
marine observation |
| ocean resource development |
| offshore wind power generation |
| robotics and navigation |
| sensing, communication, and simulation technologies |
| Abstract: |
This special session focuses on technologies and research related to ocean engineering, which supports our daily lives. Topics include marine observation, ocean resource development, offshore wind power generation, maritime transportation and navigation, robotics (such as autonomous underwater vehicles, remotely operated vehicles, and underwater drones), underwater construction, and the supporting technologies such as sensing, communication, and simulation technologies. |
| Chair: | Hiroyasu Matsushima, JP (Shiga University) |
| Co-Chair: | Tomoki Yoshihisa, JP (Shiga University) |
| Keywords: |
data science |
| machine learning |
| agent application |
| multi-agent system / simulation |
| Abstract: |
With the recent development of information technology such as mobile communication and sensing technology, various data are accumulated through web services and IoT, and the utilization of data is important for solving business and social issues. Research using real data is becoming increasingly important, in the research areas such as data science, machine learning, AI agents and simulation. These research areas support the improvement of work efficiency in various conventional operations.
The aim of this organized session is to create new opportunities for collaboration in these areas, and to provide a forum for discussion and technical presentations. |
| Chair: | Liang-Bi Chen, TW (National Penghu University of Science and Technology) |
| Co-Chairs: | Ya-Ling Kao, TW (National Penghu University of Science and Technology) |
| Szu-Yu Kuo, TW (National Kaohsiung University of Science and Technology) |
| Shih-Hsiung Lee, TW (National Kaohsiung University of Science and Technology) |
| Keywords: |
artificial intelligence (AI) |
| smart city / township |
| internet of things (IoT) |
| intelligent logistics |
| intelligent transportation |
| Abstract: |
Nowadays, many emerging advanced technologies such as artificial intelligence (AI) and the Internet of things (IoT) are critical techniques adopted in smart city/township and intelligent logistics.
Moreover, the ongoing development of intelligent systems and applications promotes or improves existing systems and applications by adopting and integrating emerging techniques (such as service design, big data analysis, cloud, AI, edge computing, and IoT).
The result is more convenience and benefits for our life everywhere. In this organized session, any advanced emerging techniques and applications for smart city/township and intelligent logistics are welcome and encouraged to be submitted to this organized session. |
| Chair: | Ryota Nishimura, JP (Toyohashi University of Technology) |
| Co-Chairs: | Kazumasa Yamamoto, JP (Chubu University) |
| Hiromitsu Nishizaki, JP (University of Yamanashi) |
| Norihide Kitaoka, JP (Toyohashi University of Technology) |
| Keywords: |
speech recognition in practical use |
| spoken dialog system |
| voice search |
| spoken language / speech processing in daily life |
| Abstract: |
In recent years, the performance of digital devices such as smartphones has improved dramatically, and new machine learning technologies as typified by deep learning has also attracted much attention. This has resulted in spoken language processing techniques such as speech recognition to achieve good performance and resulted in it being practical for consumer's use. Recently, the consumer electronics companies have also began to develop applications of spoken language technologies for home appliances. This trend shows that spoken language processing technologies will become pervasive in our daily life in the near future. |
| Chair: | Ming-Che Chen, TW (Southern Taiwan University of Science and Technology) |
| Co-Chairs: | Yu-Wen Huang, TW (National Changhua University of Education) |
| Wan-Jung Chang, TW (National Kaohsiung University of Science and Technology) |
| Keywords: |
smart sensing and networking technologies |
| AIOT |
| convenient living and health promotion |
| wearable devices |
| smart home systems |
| telemedicine |
| data analytics |
| Abstract: |
Smart sensing and networking technologies are emerging as pivotal enablers in transforming everyday living and health management. By integrating advanced sensing devices with robust networking infrastructures, IoT, and artificial intelligence, these technologies facilitate real-time monitoring of both environmental and physiological conditions. This integration paves the way for improved remote health management, proactive lifestyle adjustments, and intelligent automation in smart homes and healthcare settings. The session welcomes contributions that showcase innovative solutions and applications, including wearable health monitors, connected medical devices, smart home systems, telemedicine, and data-driven health analytics. We particularly encourage submissions that demonstrate how the convergence of smart sensing and networking can create seamless, user-centric environments that enhance convenience and promote health. |
| Chair: | Norihiko Shinomiya, JP (Soka University) |
| Co-Chair: | Michiko Nishiyama, JP (Soka University) |
| Keywords: |
sensors, actuators and systems for smart space |
| applications for health care management, automotive, security, environmental monitoring and robotics |
| optical, electromagnetic, chemical, biological and physical sensors |
| sensors phenomena, fusion, modelling and characterization |
| wireless sensor network and internet-based communications |
| Abstract: |
Smart space with various sensing technologies has been desired in consumer services such as health care, welfare, entertainment, automotive and agriculture services. They might want to be offered in coexistence with AI and robotics to create comfortable human daily life without stress. This session is expected to discuss a wide range of researches on “sensing technologies and applications for consumer services" for providing livelihood support, which is an element and core technology in order to facilitate future innovation. The subject of this session might include sensors, actuators, network, human interface, services, machine learning and robotics, however, not limited to them. |
| Chair: | Takahiro Ogawa, JP (Hokkaido University) |
| Co-Chair: | Soh Yoshida, JP (Kansai University) |
| Keywords: |
image/video analysis and processing |
| music/audio data analysis and processing |
| web/SNS data analysis and processing |
| biological data analysis and processing |
| analysis and processing of real data |
| Abstract: |
In recent years, users have been able to obtain and produce many kinds of multimedia data such as images, videos, music/audio data and Web/SNS data via their own devices. Furthermore, not only multimedia data but also many real data are accumulated in several scenes. Analysis and processing of multimedia and real data greatly contribute to developments of new services and products. Furthermore, innovative technologies can be realized by introducing not only new theories but also new software and hardware developments. This organized session aims at discussing such technologies. The topics of interest in this organized session include, but are not limited to analysis and processing of images, videos, music/audio data, Web/SNS data, biological data and various kinds of real data. |
| Chair: | Chenglong Shao, JP (Kyushu Institute of Technology) |
| Co-Chairs: | Yi-Wei Ma, TW (National Taiwan University of Science and Technology) |
| Keywords: |
wireless networking technologies |
| internet of things |
| network intelligence |
| Abstract: |
This organized session focuses on innovative wireless networking technologies that are transforming the landscape of consumer electronics. As demand grows for seamless, high-speed, and energy-efficient connectivity, advanced networking solutions are essential for supporting smart homes, wearables, mobile devices, entertainment systems, and IoT applications. This organized session provides a platform for researchers, engineers, and industry experts to share recent developments, practical implementations, and future challenges in wireless networking. Topics of interest include, but are not limited to: emerging IoT networking technologies (e.g., LPWANs, Wi-Fi 6/6E/7, and 5G/6G), wireless sensing and network intelligence for IoT, software-defined wireless networking, edge computing integration, network traffic optimization, energy-efficient communication protocols, QoS and QoE enhancement techniques, AI/ML-based wireless network management, interoperability among heterogeneous networks, and wireless security and privacy. Contributions addressing both theoretical innovations and real-world deployment strategies are highly encouraged. This session aims to foster cross-disciplinary discussion and collaboration to shape the future of wireless networking for next-generation consumer electronics. |