| 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, 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 |
| formal verification of safety, security, dependability, and reliability |
| 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 formal approaches to larger systems such as AGVs and smart elevators. |
| Chair: | Sho Takahashi, JP (Hokkaido University) |
| Co-Chair: | Yuki Wakuda, JP (Hokkaido University) |
| Keywords: |
data Science for civil engineering |
| data acquisition for transportation engineering |
| sports data analysis |
| augmented 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
|
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
|
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
|
| 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) |
| Keywords: |
artificial intelligence |
| digital signal processing |
| edge computing |
| intelligent wearable and edge devices |
| pattern recognition |
| Abstract: |
In recent years, the AI-based digital signal processing technologies have revealed the extreme significance in smarter consumer products. To develop next-generation consumer electronics, the intelligent edge or wearable devices must have smarter edge computing capability by using advanced signal processing methodologies, e.g. advanced digital image/video/data signal processing, AI-based pattern recognition, machine learning/deep learning, etc. Based on advanced signal processing technologies, the intelligence of edge devices will be raised effectively for smarter consumer applications. |
| Chair: | Takami Yasuda, JP (Nagoya University) |
| Co-Chair: | Koji Oguri, JP (Aichi Prefectural University) |
| Shinji Mizuno, JP (Aichi Institute of Technology) |
| Keywords: |
activation of traditional culture by technology |
| utilization of cultural properties by technology |
| virtual reality / mixed 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. |
| Chair: | Thinagaran Perumal, MY (Universiti Putra Malaysia) |
| Co-Chairs: | Chui Yew Leong, MY (Catrino) |
| Soumya Kanti Datta, FR (Eurecom) |
| Keywords: |
CPS architectures |
| CPS modeling |
| dependable systems |
| industry 4.0 for CPS |
| activity recognition for CPS |
| reconfigurable computing |
| application specific processors and embedded devices |
| hardware/ software co-design |
| real-time systems |
| embedded operating systems |
| embedded system software and optimization |
| bio-inspired computing for embedded systems |
| internet of things (IoT) based embedded solutions |
| AI and computational intelligence for embedded systems |
| AI in consumer electronics and service science |
| robotics and automation |
| consumer applications of AI |
| data mining |
| wearable intelligence |
| context-aware applications |
| affective computing |
| adaptive systems |
| ubiquitous computing |
| smart solutions |
| smart city applications |
| digital living |
| machine learning |
| evolutionary algorithms |
| intelligent agents |
| cognitive modeling & semantic web |
| computational game theory |
| others and emerging new topics |
| Abstract: |
In consumer electronics, the demand for Cyber-Physical Systems and Artificial Intelligence are rapidly increasing. The hybrid influences as well as implementation of AI techniques in CPS are seen as trend setter in shaping the consumer electronics paradigm. The integration of CPS and AI is seen as new computing paradigm that will soon penetrate the consumer applications. In this session, advanced CPS and AI technology for consumer and personal application are encouraged to be submitted. |
| Chairs: | Atsushi Yamashita, JP (The University of Tokyo) |
| Renato Miyagusuku, JP (Utsunomiya University) |
| Sarthak Pathak, JP (The University of Tokyo) |
| Keywords: |
sensing |
| mapping |
| localization |
| simultaneous localization and mapping |
| navigation |
| calibration |
| measurement |
| manipulation |
| teleoperation/ visualization |
| healthcare |
| agriculture |
| self-driving cars |
| internet-of-things |
| assistive technologies |
| cloud computing |
| cyber-physical systems |
| artificial intelligence |
| machine learning |
| society 5.0 |
| virtual and augmented reality |
| Abstract: |
Traditionally, robots have been used in industry. However, recently, they are being used everywhere. This includes home robotics, agriculture, healthcare, etc. One popular example is the Roomba vacuum cleaner. Unfortunately, robots are still very expensive because they require industrial grade hardware like different sensors, embedded systems, etc., which is also difficult to obtain.
To spread robotics to everyone, it is necessary to reduce costs. Consumer electronics, are cheap, easily available, and can solve this issue. For example, the Microsoft Kinect (which was built for gaming) and webcams are commonly used in many robotic applications.
In this session, we encourage papers that use consumer electronics for robotic applications. Especially, but not limited to mapping, localization, teleoperation, manipulation, sensing, and robot design.
|
| Chair: | Atsushi Kanai, JP (Hosei University) |
| Co-Chairs: | Xiaodong Lu, JP (Electronic Navigation Research Institute) |
| Toru Kobayashi, JP (Nagasaki University) |
| Shigeaki Tanimoto, JP (Chiba Institute of Technology) |
| Keywords: |
cloud cooperation computing |
| IoT |
| cyber-physical systems |
| security technologies and security management |
| service assurance |
| Abstract: |
With the spread of the Internet and cloud computing, heterogeneous devices (Smart phone, Smart TV, many kinds of Sensors, surveillance camera, drone, robot and other kind of consumer electronics) have been connected to the Internet and cloud services. Therefore, the importance of Cyber-Physical Systems (CPS) will continue to grow with the increasing pervasiveness of ICT and the development of the Internet of Things (IoT). In this organized session, all technical issues about network-connected consumer applications (including IoT), cloud cooperation computing, cloud cooperation management, smart TV computing, security and security management for CPS, cloud for service assurance will be encouraged to be submitted. Wide range of technologies and applications based on cloud computing related to consumer devices will be welcomed. |
| Chair: | Chih-Chiang Wang, TW (National Kaohsiung University of Science and Technology) |
| Co-Chairs: | Jing-Wein Wang, TW (National Kaohsiung University of Science and Technology) |
| Liren Tsai, TW (National Kaohsiung University of Science and Technology) |
| Tin-Yu Wu, TW (National Ilan University) |
| Keywords: |
cloud computing |
| software-defined networking |
| artificial intelligence |
| composites technology |
| consumer electronics |
| Abstract: |
Cloud computing systems combined with artificial intelligence, software-defined networking, and composites technology feature a promising approach of tightly coupling consumer electronics with advanced computing applications such as video streaming, optical inspection, to name a few. Specifically, cloud computing relies on sharing of resources to help end-users complete highly complicated tasks that would otherwise not be possible, software-defined networking serves as a flexible "bridge" connecting end-user devices to suitable cloud computing services, while artificial intelligence and composites technology offer methods of realizing the computing tasks and the required electronics devices. However, the coupling of these advanced technologies, though advantageous, is subject to new forms of challenges that require a thorough examination and an in-depth study. Thus, the goal of this special session is to unveil and address the research challenges arising in the general areas of cloud computing, software-defined networking, artificial intelligence, and composites technology for consumer electronics. |
| Chair: | Shingo Yamaguchi, JP (Yamaguchi University) |
| Co-Chair: | Brij Gupta, IN (National Institute of Technology, Kurukshetra) |
| Keywords: |
cyber security |
| information security |
| privacy |
| digital forensics |
| trust management |
| intrusion detection and prevention system |
| cryptography, biometric and watermarking |
| Abstract: |
Cyber security and privacy have become more and more important in consumer technology systems including smart-home, automotive, healthcare, and medical systems. These systems can significantly enhance usability, scalability, and adaptability, while they require various levels of security based on the sensitivity of the information and control. The objective of this organized 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 good practices for the real world. This organized session will be very beneficial for the participants to present their innovative ideas and to interact with some pioneer researchers in the cyber security research domain. |
| Chair: | A. Suresh, IN (Nehru Institute of Engineering and Technology) |
| Co-Chairs: | M.kaliappan, IN (Ramco institute of Technology) |
| S.Vimal, IN (National Engineering College) |
| P.Subbulakshmi, IN (Hindustan Institute of Science and technology) |
| Topics: |
cognitive network architecture and deployment |
| spectrum sharing methods of cognitive radio |
| spectrum decision techniques of cognitive radio |
| dynamic spectrum allocation methods of cognitive radio |
| spectrum sensing methods and issues in cognitive radio network |
| protocol attacks and defense mechanisms in cognitive radio network |
| cognitive network security issues |
| game theory in cognitive radio networks |
| cross-layer solutions in cognitive radio |
| energy efficiency solutions in cognitive radio networks |
| bandwidth management in cognitive radio networks |
| cluster management in cognitive radio networks |
| trust management in cognitive radio networks |
| data analytics and IOT analytics using cognitive radio networks |
| Keywords: |
spectrum management, IOT analytics, energy enhancement, security, game theory |
| Abstract: |
Cognitive radio (CR) is a form of wireless communication in which a transceiver can intelligently detect which communication channels are in use and which are not, and instantly move into vacant channels while avoiding occupied ones. This optimizes the use of available radio-frequency (RF) spectrum while minimizing interference to other users. With the effective utilization of the natural resource the radio spectrum, CR includes more potential practical applications such as TV white spaces, emergency networks, military networks, mesh networks, cellular networks, multimedia, leased networks, vehicular communications. CR brings the tremendous impact in bandwidth optimization and cost efficiency, especially in the next-generation cellular network. It attracts the attention of today's researchers due to the challenges and issues remaining in utilizing the full potential of radio spectrum in cognitive radio network. With the effective utilization of the natural resource the radio spectrum, CR includes more potential practical applications such as TV white spaces, emergency networks, military networks, mesh networks, cellular networks, multimedia, leased networks, vehicular communications. CR brings the tremendous impact in bandwidth optimization and cost efficiency, especially in the next-generation cellular network. Besides the IOT and data analytics using the CR networks is most proficiently applied in health care sectors now adays. It attracts the attention of today's researchers due to the challenges and issues remaining in utilizing the full potential of radio spectrum in cognitive radio network. |
| Chair: | Jay Kishigami, JP (Muroran Institute of Technology) |
| Co-Chair: | Shigeya Suzuki, JP (Keio University) |
| Keywords: |
blockchain |
| DID: decentralized identity |
| IPFS |
| consensus algorithm |
| layer 2 |
| Abstract: |
In order to realize reliability, high-speed processing, and privacy, more advanced technology has been proposed for Blockchain technology based on the conventional bitcoin. It can be said that the Blockchain approaches a new stage in conjunction with the sidechain idea aka Layer 2, the decentralized identity management called DID, and a whole new file system called IPFS. In this session, we would like to take a wide range of application of blockchain and present various research results for new services and develop academic discussions at a high level. |
| Chair: | Hideyuki Takahashi, JP (Tohoku Gakuin University) |
| Co-Chairs: | Kazuya Sugiyasu, JP (Tohoku 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 |
| 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 potential 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: | Makio Fukuda, JP (Taisei Gakuin University) |
| Co-Chairs: | 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: | Ryoichi Suzuki, JP (Kanazawa Institute of Technology) |
| Co-Chairs: |
Seiji Nihsifuji, JP (Yamaguchi University) |
| 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 role of high-quality technologies in health monitoring, personalized biomedicine and life support has 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 (Osaka City University) |
| Keywords: |
The IoT technology and concept includes the following topic but not limited to;
- data collection and storage for deep learning in IoT,
- supervised, semi-supervised, and unsupervised machine learning,
- image processing techniques and their applications,
- real-time vision through efficient deep convolutional neural networks (CNN),
- networked and embedded sensors,
- image recognition,
- object detection and tracking, object classification,
- image retrieval, image search,
- augmented reality,
- decision support and decision making
|
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.
|
moreover, it includes
- cloud computing,
- data and information processing,
- communication networks,
- big data/analytics etc.
|
| Abstract: |
In the era of the Internet of Things (IoT) where estimated size at 50 billion connected objects ( Things ) new kinds of data are becoming available rapidly, there is a growing demand for efficient yet powerful algorithms to consume internet of things (IoT)-generated big data and extract needed information from it. In this aspect, among the promising and popular methods, Deep learning and related methods have been playing the leading roles. This special organized session aims to highlight problems and future challenges in smart consumer electronic environments and invite researchers working associated technologies like IoTs, machine learning and deep learning for big data, and for addressing issues related to the information and image processing. |
| Chair: | Naoki Kobayashi, JP (Saitama Medical University) |
| Co-Chairs: | Akira Tanaka, JP (Fukushima University) |
| Emi Yuda, JP (Tohoku University) |
| Keywords: |
health informatics |
| health care/promotion |
| health data sensory |
| bio-signal analysis |
| personal health records |
| Abstract: |
Healthcare & Health Promotion is the most important application fields for consumer electronics systems. Health informatics and technology including sensory integration, data analysis and database of health data is well studied and preserve recently. The aim of this special session is to attract participants for new proposals and discussions on latest research of health informatics and technologies for effective healthcare and health promotion on consumer, such as health data sensory technology, healthcare data analysis, bio-signal analysis, personal health records and their application systems. |
| 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 |
| 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 the near future. 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 Intelligent Transport Systems. |
| Chair: | Takeshi Yashiro, JP (Toyo University) |
| Co-Chair: | Satoshi Asano, JP (Toyo University) |
| Keywords: |
IoT deployment |
| IoT standards and frameworks |
| IoT aggregation and device collaboration |
| case studies of IoT |
| smart house |
| Abstract: |
Although the idea of IoT has become popular, realization of IoT-enabled buildings, cities, and societies still remains a big challenge. In this organized session, we aim to bring together researchers and practitioners to discuss how IoT technologies can be deployed in the real world, rather than connecting a single device to the Internet. We welcome any work related to IoT aggregation and device coordination, standards and frameworks for the IoT, as well as case studies of IoT in real world, like smart houses and smart cities. |
| Chair: | Huang-Chia Shih, TW (Yuan Ze University) |
| Co-Chair: | Ting-Lan Lin, TW (National Taipei University of Technology) |
| Wen-Hsing Kuo, TW (Yuan Ze University) |
| Keywords: |
real-time data analytics |
| image/video processing |
| video compression and transmission |
| embedded system |
| pattern recognition |
| energy consumption and management |
| sensor network |
| sensor fusion |
| building commissioning |
| environment monitoring |
| multiobjective Fuzzy control |
| other signal processing topics in smart house |
| Abstract: |
Studies on smart house and consumer electronics have attracted much attention in recent years. Vision systems, sensor networks, energy management, and real-time embedded systems are highly related to the energy consumption of the smart house. Beside sensors, video cameras are frequently used as an input device for the smart house. A large amount of data about house environments must be analyzed to extract useful information. Taking the advantage of the state-of-the-art machine learning algorithm, the effectiveness of data analysis has been considerably improved. In this organized session, every large-scale signal processing for software and hardware contributions will be encouraged to be submitted. |
| Chair: | Kazuyuki Kojima, JP (Shonan Institute of Technology) |
| Co-Chair: | Mamoru Iwaki, JP (Niigata University) |
| Tadaaki Ikehara, JP (Tokyo Metropolitan College of Industrial Technology) |
| Keywords: |
mobile services and applications for QoL improvement |
| health and medical apparatus for QoL improvement |
| QoL improvement based on audio and visual technologies |
| IoT and ambient technologies for QoL improvement |
| assistive technologies for disabled and elderly people’s QoL |
| 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: | Fazlullah Khan, PK (Abdul Wali Khan University Mardan) |
| Co-Chairs: | Mian Ahmad Jan, PK (Abdul Wali Khan University Mardan) |
| Zhiyuan Tan, UK (Edinburgh Napier University) |
| Muhammad Alam, CH (Xi'an Jiaotong-Liverpool University) |
| Jianjun Li, CH (Huazhong University of Science and Technology) |
| Keywords: |
security and privacy in communication systems for eHealth |
| security, privacy and forensics in critical infrastructure of eHealth |
| network intrusion detection systems for eHealth |
| security and privacy of big data in smartphone devices for eHealth |
| security and privacy in the internet of things for eHealth |
| privacy preserving crowdsensing in eHealth |
| cyber threat and vulnerability assessment for eHealth |
| security and privacy in smart home and smart society for eHealth |
| Abstract: |
Cybersecurity and privacy has become an increasingly significant area for research, education, and industries focusing on cyber physical systems (CPS) in the context of healthcare. CPS faces numerous security challenges for modern societies, where communication technologies and services have significant impact on our lives. The security and privacy in CPS is a serious issue because the cyber space is considered as fifth battle-field after land, air, water and space. The vulnerabilities in CPS have high risk for modern societies due to advancements in communication technologies.
The aim of this symposium, as a special track of GCCE-2019, is to be a leading international platform for students, scholars, researchers, academia and Industry to present and discuss different theoretical and practical issues, solutions, and findings in the emerging and fast-growing field of CPS, cybersecurity and privacy. |
| Chair: | Yoji Kiyota, JP (LIFULL Co., Ltd.) |
| Co-Chairs: | Hirohiko Suwa, JP (Nara Institute of Science and Technology) |
| Takehiko Hashimoto, JP (GA technologies Inc.) |
| Keywords: |
real estate industry |
| virtual reality and augmented reality |
| smart houses |
| value estimation |
| Abstract: |
Real estate industries, which are essential for our daily life, are one of the frontiers of digitization. Although most of real estate business is currently operated by human labor, innovations based on various information technologies are drastically changing the real estate industries. Especially, consumer electronics technologies, including user interfaces, user experience, virtual reality, augmented reality, home networks and services, mobile computing and communications, and smart houses, are spreading rapidly. However, there are still a lot of research challenges to be tackled, e.g., quality, costs, sensitivity, diversity, and attractiveness. The purpose of this organized session is to share, discuss, and encourage research challenges on consumer electronics technologies in real estate industries. |
| Chair: | Ryota Nishimura, JP (Tokushima University) |
| Co-Chairs: | Kazumasa Yamamoto, JP (Chubu University) |
| Hiromitsu Nishizaki, JP (University of Yamanashi) |
| 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. |
| Chair: | Huang-Chia Shih, TW (Yuan Ze University) |
| Co-Chairs: | Ching-Hung Lin, TW (Yuan Ze University) |
| Thomas B. Moeslund, DK (Aalborg University) |
| Keywords: |
object detection/modeling/recognition in sport data with advanced learning algorithms |
| athletes motion capturing in sports |
| activities recognition in sport data |
| tracking trajectories analysis in sports |
| semantic analysis in sport data |
| scoring prediction system created utilizing advanced learning algorithms |
| tactics analysis for sports |
| athletes' decision-making |
| supervised/unsupervised/reinforcement learning with sports data |
| efficient deep learning for sports data compression |
| sports video content analysis in the media cloud |
| performance assessment in sports |
| AR/VR/MR interact user experience application in sports |
| UX/UI interaction design with human factors for sports |
| emerging applications of deep learning in sports content search, retrieval, recommendation, understanding, and summarization |
| future trends and challenges for sports data analytics |
| other learning techniques from examples such as imitation learning and emerging cognition system in sports |
| Abstract: |
Data plays a big role in developing and improving sports in recent years. Coaches and athletes are able to utilize this data to make better decisions for developing their team. Machine learning makes this possible because it provides “objective measures and can detect things a human cannot calculate”. This organized session aims at the sports tactic analysis using machine learning and signal processing for the data captured from wearable sensor device and vision system. This organized session is dedicated to recent technical advances in sports data analytics. The organized session targets the research community for industry professionals and academic researches to discuss the increasing role of analytics in the global sports industry and research. |
| 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: | Takahiro Ogawa, JP (Hokkaido University) |
| Co-Chairs: | Soh Yoshida, JP (Kansai University) |
| Ryosuke Harakawa, JP (Hokkaido 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: | Romuald Jolivot, TH (BU-CROCCS) |
| Co-Chairs: | Kingkarn Sookhanaphibarn, TH (Bangkok University) |
| Worawat Choensawat, TH (Bangkok University) |
| Keywords: |
entertainment and simulation systems design |
| multimedia, virtual reality and augmented reality |
| artificial intelligence |
| applications, platforms and field studies |
| synergetic effects of edutainment and well-being |
| Abstract: |
Health and safety is a key for human life. The objective of this organized session is to bring together researchers and engineers and provide them with a field for discussing virtual reality technologies and their application involving health monitoring and safety issues. Most of them are supported by various consumer electronics products. The session focused on any research topics related to simulation systems, monitoring systems, smart systems, and training systems in health and safety. The session also includes topics addressing digital signal processing, collaborative learning tools, and sensing device technology for health and safety. |