IEEEIEEE Consumer Technology Society 2024 IEEE 13th Global Conference on Consumer Electronics

GCCE 2024 | AIM Medium Exhibition Hall and RIHGA Royal Hotel Kokura, Japan | Oct. 29 - Nov. 1 2024

Organized Session

GCCE 2024 appreciates the many Organized Session proposals received through two deadlines. All Accepted Organized Sessions are listed below.

Organized Sessions

Audio /
Visual
AAT Audio & Acoustic Technology
AIP Advanced Image Processing
ICT IoT & Image Processing Applications to Consumer Technologies
SLP Spoken Language Processing for Daily Life
TMR Technologies for Multimedia & Real Data Analysis & Processing
Energy Management PES Modeling & Control of Power Electronics, Energy Systems, and Motor Drives
Education / Entertainment EET Empowering Education & Training through Metaverse & Extended Reality Technologies
GAM Game Amusement & Visualization
Healthcare & Wellbeing HAD Advances & Applications of Human Assistive Devices
HPL Smart Health Monitoring, Personalized Biomedical & Life Support Technologies
HSB Smart Health Sensing and Biomedical Technologies & Applications
Home /
Life
AIR Artificial Intelligence & Robotics
AMC AI-based Metaverse Convergence
DSE Devices & Software with ECHONET Lite (ISO/IEC 14543-4-3)
NLP Machine Learning in Natural Language Processing & in Signal Processing
STA Sensing Technologies & Applications for Consumer Services
Transportation /
Infrastructure /
Mobility
ADE Actual Data Science-based Digital-twin & Engineering for Enhancement of Human Abilities & Social Infrastructure
DTA Drone Technology & Its Applications in Climate-Smart Agriculture
ITS Intelligent Transport Systems
SCL Emerging Advanced Technologies for Smart City/Township & Intelligent Logistics
Security CBS Recent Advancements in Cyber Security
CPS Smart Cyber-Physical Systems & Security
DRR Practical Issues, Systems & Applications for Disaster Risk Reduction
System /
Circuit
ACE Formal Approach to Consumer Technology
ASP Circuit & System Design for Intelligent Edge Computing & Advanced Signal Processing Technologies
DSC Data Science & Its Application to Consumer Technology
HCI Bridging Human-Computer Interaction & Data Science: Applied IoT/AI for Society and Industry

OS-AAT: Audio & Acoustic Technology

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.

OS-ACE: Formal Approach to Consumer Technology

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.

OS-ADE: Actual Data Science-based Digital-twin & Engineering for Enhancement of Human Abilities & Social Infrastructure

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.

OS-AIP: Advanced Image Processing

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
image compression
noise reduction
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 will be encouraged to be submitted.

OS-AIR: Artificial Intelligence & Robotics

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.

OS-AMC: AI-based Metaverse Convergence

Chair: Woong Choi, TW (Kangnam University)
Co-Chair: Liang Li, JP (Ritsumeikan University)
Keywords: artificial intelligence and learning based design
intelligent edge computing technologies
advanced signal & image processing technologies
edge-based deep-learning acceleration
Abstract: TIn the rapidly evolving landscape of digital innovation, the integration of AI-based metaverse technology stands at the forefront of transformation. This section explores the confluence of metaverse and on-device AI, highlighting significant advancements in digital healthcare and security. We delve into how generative AI is revolutionizing user experiences within the metaverse, offering personalized, real-time interactions. The convergence of these technologies promises not only to enhance the metaverse's capabilities but also to redefine digital healthcare and security paradigms, ensuring a safer, more immersive virtual environment for users.

OS-ASP: Circuit & System Design for Intelligent Edge Computing & Advanced Signal Processing Technologies

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 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.

OS-CBS: Recent Advancements in Cyber Security

Chair: Brij B. Gupta, TW (Asia University)
Co-Chairs: 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.

OS-CPS: Smart Cyber-Physical Systems & Security

Chair: Arata Koike, JP (Tokyo Kasei University)
Co-Chairs: Xiaodong Lu, JP (Electronic Navigation Research Institute)
Atsushi Kanai, JP (Hosei University)
Toru Kobayashi, JP (Nagasaki University)
Shigeaki Tanimoto, JP (Japan International 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, the digital transformation era has been realized. Therefore, the importance of secure Cyber-Physical Systems (CPS) will continue to grow with the increasing pervasiveness of ICT and the development of the Internet or Intelligence of Things (IoT). In this organized session, 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 will be encouraged to be submitted. Wide range of technologies and applications for smart Cyber-Physical Systems will be welcomed.

OS-DRR: Practical Issues, Systems & Applications for Disaster Risk Reduction

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.

OS-DSC: Data Science & Its Application to Consumer Technology

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.

OS-DSE: Devices & Software with ECHONET Lite (ISO/IEC 14543-4-3)

Chair: Masao Isshiki, JP (Kanagawa Institute of Technology)
Co-Chairs: Hidekazu Suzuki, JP (Meijo University)
Takashi Murakami, JP (Panasonic Corporation)
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.

OS-DTA: Drone Technology & Its Applications in Climate-Smart Agriculture

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.

OS-EET: Empowering Education & Training through Metaverse & Extended Reality Technologies

Chair: Kingkarn Sookhanaphibarn,TH (Bangkok University)
Co-Chair: 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.

OS-GAM: Game Amusement & Visualization

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.

OS-HAD: Advances & Applications of Human Assistive Devices

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.

OS-HCI: Bridging Human-Computer Interaction & Data Science: Applied IoT/AI for Society and Industry

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.

OS-HPL: Smart Health Monitoring, Personalized Biomedical & Life Support Technologies

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.

OS-HSB: Smart Health Sensing and Biomedical Technologies & Applications

Chair: Chika Sugimoto, JP (Yokohama National University)
Co-Chairs: Daisuke Anzai, JP (Nagoya Institute of Technology)
Hirokazu Tanaka, JP (Hiroshima City University)
Keywords: health & medical
biosignal
AI
wireless
Abstract: The importance of smart health sensing technology has increased because biological information has come to be used for various purposes including daily healthcare and medical care. Sensor technologies that enable the acquisition of human data in diverse environments, data analysis technologies including AI, and highly reliable wireless communication technologies are required to realize it. This session aims to bring together presentations on technologies for supporting evolving health sensing methods, share the latest technological trends, and contribute to the spread and development of research across fields.

OS-ICT: IoT & Image Processing Applications to Consumer Technologies

Chair: Thi Thi Zin, MM (University of Miyazaki)
Co-Chair: Cho Nilar Phyo, JP (University of Miyazaki)
Keywords: advanced image processing and potential of its applications
neural network, deep learning and their applications
machine learning and its applications
internet of things and applications
augmented reality
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.

OS-ITS: Intelligent Transport Systems

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.

OS-NLP: Machine Learning in Natural Language Processing & in Signal Processing

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.

OS-PES: Modeling & Control of Power Electronics, Energy Systems, and Motor Drives

Chair: Triet Nguyen-Van, JP (University of Tsukuba)
Co-Chair: Nguyen Gia Minh Thao, JP (Shimane University)
Keywords: inverter control
motor control
control theory
stability
smart grid
power system
Abstract: Nowadays, power electronics systems play an important role in a wide range of electrical device from the large-scale power network to the daily electronics devices. A power inverter, which is the main components of power electronics systems, allows producing the desired effect such as electrical power conversion or motion of motors by controlling the output voltage and current. Performances of the power electronics system largely rely on control effectiveness. Therefore, it is essential to develop modelling and control technologies for the power electronics system to obtain the desired performance. Advancements in power control technologies will enable new applications to bloom and improve the performances of existing applications.

OS-SCL: Emerging Advanced Technologies for Smart City/Township & Intelligent Logistics

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.

OS-SLP: Spoken Language Processing for Daily Life

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.

OS-STA: Sensing Technologies & Applications for Consumer Services

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.

OS-TMR: Technologies for Multimedia & Real Data Analysis and Processing

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.