GCCE 2024 appreciate the many Organized Session proposals received through two deadlines.
Accepted Organized Sessions will be available soon.
| Chair: | Kazuhiko Kawahara, JP (Kyushu University) |
| Co-Chairs: | Kazuma Hoshi, JP (Nihon University Junior College) |
| Atsushi Marui, JP (Tokyo University of the Arts) |
| Yoshifumi Chisaki, JP (Chiba Institute of Technology) |
| Keywords: |
measurement and instrumentation of audio devices, including transducers |
| audio signal processing |
| spatial audio |
| room acoustics |
| perception and evaluation of audio applications |
| Abstract: |
Nowadays, digital audio products seem to become full growth in consumer electronics. Novel and advanced technologies are required for the enrichment of our new audio and acoustic experiences.
Moreover, revisiting contemporary audio engineering is also required to design new audio devices and products. This organized session aims at discussing recent research results in technique and
application of audio engineering, such as audio digital processing, spatial audio, room acoustics, networked audio application, entertainment, and perception and evaluation of such applications, and so forth. |
| 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: | Satoshi Sugiura, JP (Hokkaido University) |
| Keisuke Maeda, JP (Hokkaido University) |
| Mitsugu Kakuta, JP (Nippon Sport Science University) |
| Takumi Asada, JP (Muroran Institute of Technology) |
| Keywords: |
digital-twin and data acquisition |
| geographic information and global navigation satelite system |
| sports data analysis |
| augmented / mixed reality and 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: | 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 (Tokushima University) |
| 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: | Chih-Peng Fan, TW (National Chung Hsing University) |
| Co-Chair: | 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 technologies |
| 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: | Brij B. Gupta, TW (Asia University) |
Co-Chair: | Shingo Yamaguchi, JP (Yamaguchi University) |
| Arcangelo Castiglione, IT (University of Salerno) |
| Keywords: |
information security |
| cyber security & forensics |
| cloud computing security |
| mobile & web security |
| security, trust & privacy measurement |
| 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: | 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: | Mohd Anuaruddin Bin Ahmadon, JP (Yamaguchi University) |
| Co-Chairs: | Yuanyuan Wang, JP (Yamaguchi University) |
| 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: | Kingkarn Sookhanaphibarn, TH (Bangkok University) |
| Keywords: | data analytics and AI in drone technology for agriculture |
| precision agriculture and drone technology |
| climate impact assessment and monitoring with drones |
| future directions and innovations in drone applications for agriculture |
| policy, regulation, and ethical considerations in drone usage |
| Abstract: |
In the face of global climate challenges, agriculture is at a pivotal point where innovation must lead the way in sustainability and efficiency.
This special session proposal, titled "Elevating Agriculture: Drone Technology and Its Applications in Climate-Smart Practices,"
seeks to explore the transformative potential of drone technology in fostering resilient, sustainable, and productive agricultural systems.
As the world gravitates towards climate-smart agriculture practices, drones emerge as crucial tools in precision farming, data collection,
and environmental monitoring, thereby enabling farmers and researchers to make informed decisions that benefit both the environment and food security. |
| Chair: | Satoshi Numata, JP (Osaka Electro-Communication University) |
| Keywords: | computer, video, console and internet games |
| amusement / visualization / serious games |
| games for education and learning / edutainment |
| interactive games with intelligent agent |
| individual and social impact of game playing |
| Abstract: |
The session's focus is on innovative research and technology for game amusement and visualization on all platforms such as PC, PDA, Smartphone, the Internet, and the game machine. Robots, intelligent toys, and the like are included.
Games have an impact on individual humans, on peer groups, and on the whole society. Therefore, understanding the way in which games affect humans and the effects of game playing are within scope.
This includes researches on learning effects, e.g., and assessment tools. |
| 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 |
| visual impairment |
| accessibility innovation |
| 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: | Seiji Nihsifuji, JP (Yamaguchi University) |
| Co-Chairs: | Shenglin Mu, JP (Ehime University) |
| Ryoichi Suzuki, JP (Kanazawa Institute of Technology) |
| 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: | 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: | Md Shoaib Bhuiyan, JP (Suzuka University of Medical Science) |
| Keywords: |
signal extraction and analysis of bio signals |
| machine Learning including deep learning technologies |
| natural language processing |
| 3D printing-based product development |
| applications to healthcare |
| 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: | 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 (Tokushima University) |
| 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: | 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 Efor 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: | Ari Aharari, JP (SOJO University) |
| Keywords: |
human-computer interaction (HCI) |
| AI/IoT applications for industry |
| data analysis for COVID-19 |
| interface design and user experience |
| integrating AI/IoT in industry |
| Abstract: |
This session aims to explore the synergies between human-computer interaction (HCI) and data science, particularly in the context of advancing Internet of Things (IoT) and artificial intelligence (AI) technologies for societal benefit and industrial applications. Through a series of presentations, participants will delve into innovative approaches, case studies, and best practices that bridge HCI principles with data science methodologies to create impactful solutions for society and industry. |
| Chair: | Kingkarn Sookhanaphibarn,TH (Bangkok University) |
| Co-Chairs: | Worawat Choensawat, 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. |