Chair: | Kazuhiko Kawahara, JP (Kyushu University) |
Co-Chairs: | Kazuma Hoshi, JP (Nihon University) |
Atsushi Marui, JP (Tokyo University of the Arts) |
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: | Ichiro Toyoshima, JP (Toshiba) |
Co-Chairs: | Koichi Kobayashi, JP (Hokkaido University) |
Shingo Yamaguchi, JP (Yamaguchi University) |
Keywords: |
formal specification and modeling |
model-based development |
reactive, real-time, hybrid, and cyber-physical systems |
interdisciplinary approach with data science |
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, such as statistical model checking (SMC), process mining. |
Chair: | Sho Takahashi, JP (Hokkaido University) |
Co-Chair: | Satoshi Sugiura, JP (Hokkaido University) |
Keisuke Maeda, JP (Hokkaido University) |
Keywords: |
data science for civil engineering |
data acquisition for transportation engineering |
sports data analysis |
augmented / mixed reality and virtual reality |
artificial intelligence for actual data |
Abstract: |
In recent years, 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: | 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. |
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
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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
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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
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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
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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
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human-robot/agent interaction
- nonverbal cues and expressiveness in interactions: gesture, posture and facial expressions
- monitoring of behavior and internal states of human subjects
- detecting and understanding human activity
- social intelligence and social presence for robots and virtual humans
- creating relationships with robots and humanoids
- personalities for robotic or virtual characters
- embodiment, empathy and intersubjectivity in interaction with robotic and virtual characters
- intelligence, motivations and emotions in robots
- conversational informatics in human-robot/agent interaction
- multimodal interaction and conversational skills
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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 (Southern Taiwan University of Science and Technology) |
Keywords: |
artificial intelligence and deep-learning based design |
intelligent edge computing technologies |
advanced signal & image processing technologies |
acceleration for edge-based deep-learning computation |
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: | Takami Yasuda, JP (Nagoya University) |
Co-Chair: | Koji Oguri, JP (Aichi Prefectural University) |
Shinji Mizuno, JP (Aichi Institute of Technology) |
Shinya Miyazaki, JP (Chukyo University) |
Keywords: |
activation of traditional culture by technology |
utilization of cultural properties by technology |
virtual reality / mixed reality / augmented reality |
open data |
new tourism / sustainable regional tourism |
Abstract: |
The fusion of traditional culture and latest technology creates a new trend. In this session, for sustainable regional tourism, we will discuss methods to utilize culture and cultural properties using information and communication technology. Focusing on the entertainment nature of traditional Japanese cultural activities, we introduce a method to improve its appeal. For example, the application of virtual reality and mixed reality in tea ceremony and ikebana has received much attention. We also discuss the possibility of creating new tourism resources by utilizing cultural properties such as registered tangible cultural property buildings and information communication technology. |
Chairs: | B. B. Gupta, IN (National Institute of Technology Kurukshetra) |
Shingo Yamaguchi, JP (Yamaguchi University) |
Keywords: |
information security |
cyber security and forensics |
cloud computing security |
mobile and web security |
security, trust & privacy measurement |
internet of things (IoTs) security |
security of cyber physical systems |
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.
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Chair: | Toru Kobayashi, JP (Nagasaki University) |
Co-Chairs: | Shigeaki Tanimoto, JP (Chiba Institute of Technology) |
Atsushi Kanai, JP (Hosei University) |
Xiaodong Lu, JP (Electronic Navigation Research Institute) |
Keywords: |
digital transformation |
IoT |
cyber-physical systems |
digital twin |
cloud cooperation computing |
security technologies and security management |
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 come. 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. |
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, JP (Yamaguchi University) |
Yukiko Kawai, JP (Kyoto Sangyo University) |
Mohd Halim Bin Mohd Noor, MY (Universiti Sains Malaysia) |
Keywords: |
data science and analytics |
data mining and data streams |
visualization and user interfaces |
deep learning / machine learning |
big data and internet of things |
recommender systems |
social network and media analysis |
Abstract: |
Nowadays, the internet and smart devices around us gather a large amount of data which holds many potentials to improve our lives in many perspectives. Therefore, data science emerges as an interdisciplinary field that involves scientific methods in processes, algorithms, and systems to extract and analyze data which exists in various form. Starting from 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, its application to consumer technology including (but not limited to) smart systems and 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: | Satoshi Numata, JP (Osaka Electro-Communication University) |
Co-Chairs: | Makio Fukuda, JP (Taisei Gakuin University) |
Tomoyuki Takami, JP (Osaka Electro-Communication University) |
Toshihiro Hayashi, JP (Kagawa University) |
Masayuki Ueno, JP (Osaka Electro-Communication University) |
Masaki Hayashi, SE (Uppsala 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: | Takumi Asada, JP (Muroran Institute of Technology) |
Co-Chairs: | Satoshi Sugiura, JP (Hokkaido University) |
Sho Takahashi, JP (Hokkaido University) |
Keywords: |
geographic information system |
global navigation satellite system |
geographical / transportation data analysis |
data acquisition for transportation engineering |
civil engineering |
Abstract: |
National land and mobility are the most fundamental elements of civil life. In recent years, various techniques for analyzing/surveying national land and transportation system have been proposed not only devices but also the methods in the geographical analysis by utilizing various sensors and satellite systems. These techniques contribute to enhance the quality of life of the citizens and its society from the point of most fundamental life as our civil infrastructure. This session welcomes all research and techniques in the field of the above. |
Chair: | Seiji Nihsifuji, JP (Yamaguchi University) |
Co-Chairs: |
Ryoichi Suzuki, JP (Kanazawa Institute of Technology) |
Shenglin Mu, JP (Ehime University) |
Keywords: |
health monitoring |
life support technology |
rehabilitation technology |
assistive devices technology |
mechatronics / robotics |
sensors and systems for social welfare |
interfaces for disabled |
personalized biomedical devices, sensors and systems |
biomedical informatics |
smart inclusion |
Abstract: |
Staying healthy and improving the quality of life are crucial social issues in super-aging societies 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. This session focuses on innovative and challenging researches 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 researches and technologies regarding smart health monitoring and new life support technology in addition to the above challenging technical issues. |
Chair: |
Thi Thi Zin, MM (University of Miyazaki) |
Co-Chair: | Hiromitsu Hama, JP |
Keywords: |
The IoT technology and Image Processing Applications includes the following topic but not limited to;
- Internet of Things and Applications,
- Advanced Image Processing and potential of its applications,
- Neural Network, Deep Learning and their applications,
- Machine Learning and its Applications,
- Data collection and storage with respect to IoT environments,
- Edge computing and applications,
- Image recognition, Object detection and tracking, Object classification,
- Image Retrieval, Image search,
- Augmented reality
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These bring many business opportunities and add to the complexity of information technology such as:
- Optimization techniques,
- Intelligent transportation systems,
- Video surveillance monitoring systems,
- Consumer products identification, classification and tracking.
- Big Data/Analytics etc.
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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: | Tomotaka Wada, JP (Kansai University) |
Co-Chairs: | Masahiro Fujii, JP (Utsunomiya University) |
Naohisa Hashimoto, JP (National Institute of Advanced Industrial Science & Technology) |
Keywords: |
intelligent vehicle, smart vehicle and connected vehicle |
personal mobility and smart mobility |
communications, networks, sensing and image processing |
human machine interaction and infra 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) |
Co-Chair: | Haruki Kawanaka, JP (Aichi Prefectural University) |
Keywords: |
photoplethysmography |
signal extractionl |
deep learning for natural language processing |
analysis of biomedical signal / image / video |
named entity recognition |
Abstract: |
Photoelectric volume pulse waves can acquire various biological information with a single sensor such as pulse rate and SpO2, and so can automatically detect respiratory information. An way to acquire respiratory waveforms using photoelectric volume pulse waves will be shown to separate the respiratory fluctuation components. And thus being used to detect cough non-invasively.
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: | Tadaaki Ikehara, JP (Shonan Institute of Technology) |
Co-Chair: | Kazuyuki Kojima, JP (Shonan Institute of Technology) |
Nobuo Funabiki, JP (Okayama University) |
Shingo Yamaguchi, JP (Yamaguchi University) |
Keywords: |
mobile services and applications for QoL improvement |
health and medical apparatus for QoL improvement |
assistive technologies for disabled and elderly people's QoL |
IoT and ambient technologies for QoL improvement |
life-long learning & education |
Abstract: |
This organized session aims to discuss about the consumer-electronics-related technologies for improvement of human’s quality of life (QoL). Recent advances in electrical and electronic technologies have been changing our quality of life dramatically due to the low-cost high-performance devices which become widespread in every possible environment around us. This session deals with the technologies such as IoT and ambient technologies, mobile devices and applications, AV technologies, assistive devices regarding to improvement of our quality of life. But, not limited to these key terms. |
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.
In this session, we encourage studies related to spoken language processing technologies that could be beneficial for our daily life. For example, we welcome studies on speech recognition technology (for example, but not limited to) such as voice search, spoken dialog systems with home electric appliances or vehicles, spoken-language technology-based CALL system, etc.
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Chair: | Norihiko Shinomiya, JP (Soka University) |
Co-Chairs: | Michiko Nishiyama, JP (Soka University) |
Yuya Koyama, JP (Chiba Institute of Technology) |
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 |
human interface and wearable applications |
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: | Toshihiko Tsukada, JP (Aichi Institute of Technology) |
Co-Chairs: | Koji Oguri, JP (Aichi Prefectural University) |
Keywords: |
automated driving / remote automated driving |
advanced safety vehicle technologies |
MaaS / CASE |
advanced traffic control |
human centric technologies for advanced mobility society |
Abstract: |
The mobility society is in a period of great change, said to occur once every 100 years. In addition to the development of technologies such as driverless driving and remote automated driving, a new mobility society is about to be built through the development of new technologies, known as MaaS, CASE and so on. In this Organized Session, we will introduce new technologies for the realization of the next generation mobility society. |
Chair: | Takahiro Ogawa, JP (Hokkaido University) |
Co-Chairs: | Soh Yoshida, JP (Kansai University) |
Ryosuke Harakawa, JP (Nagaoka University of Technology) |
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. |