IIKI2024 TECHNOLOGIES AND THE DIGITAL ECONOMY


INTERNATIONAL CONFERENCE ON IDENTIFICATION, INFORMATION & KNOWLEDGE IN THE INTERNET OF THINGS

Conference Theme

International Conference on Identification, Information & Knowledge in the Internet of Things.



Ritsumeikan University

California State University, Fullerton

Beijing Normal University

China University of Geosciences

Shandong Big Data Research Association



China Society for Industrial and Applied Mathematics & Activity Group on Financial Technology and Algorithm

Shandong Blockchain Research Association

Engineering Research Center of Digital Media Technology, Ministry of Education

Realizing the full potential of the Internet of Things (IoT) requires solving technical and business challenges including the identification of things, the organization, integration and management of big data, and the effective use of knowledge-based decision systems. These challenges, and more, are the focus for the International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI) international conference series.

IIKI2024, the 12th conference in the series, provides a dedicated forum for international experts to discuss current trends, challenges, and state-of-the-art solutions in the IoT.

Extended versions of invited papers from the conference will be published in major international peer-reviewed journals.

 

Ritsumeikan University

Conference Tracks

TECHNOLOGY SECTION

TECHNOLOGY Track 1: High-performance AI and the Applications
TECHNOLOGY Track 2: Knowledge Engineering, Big Data, and Cloud computing
TECHNOLOGY Track 3: Fog Computing and IoT Services
TECHNOLOGY Track 4: EHealth, Mobile Health, Wellbeing and Sport
TECHNOLOGY Track 5: Artificial Intelligence and Internet of Things
TECHNOLOGY Track 6. Ubiquitous Sensing and Intelligent Media
TECHNOLOGY Track 7: Metaverse

Digital Economy Section

Digital Economy Track 1: Digital economy
Digital Economy Track 2: FINTECH
Digital Economy Track 3: BLOCKCHAIN AND DEFI
Digital Economy Track 4: Quantitative Trading Based on Artificial Intelligence
Digital Economy Track 5: BIG DATA IN FINANCE AND BUSINESS

Call for Special Session and Workshop

Ritsumeikan University

TECHNOLOGY Section

TECHNOLOGY Track 1: High-performance AI and the Applications

CHAIRS
Track program committee

Artificial Intelligence (AI) has emerged as a transformative force across various domains in the contemporary landscape. The pervasive success of AI highlights a growing need for high-performance AI systems in applications. This demand mainly encompasses both the greater accuracy and computational efficiency. Work focused on the theme will be of great interest in this track.

Original technical submissions on, but not limited to, the following topics are invited:

Submit     Return    

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TECHNOLOGY Track 2: Knowledge Engineering, Big Data, and Cloud computing

CHAIRS

The Internet of Things (IoT), and of services and people, coupled with social networks means a huge increase in data. Analysing Big Data will become a key focus of research, competition, and innovation in the IoT. Processing of Big Data will in the cloud, and data mining will use background knowledge of societal, cultural, and personal trends. Knowledge engineering for better data mining, new approaches to cloud computing for Big Data, and new paradigms for Big Data processing are key topics. The topics in this track includes but are not limited to:

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Kiyomizu-dera Temple

Technology Track 3: Fog Computing and IoT Services

CHAIR

With the rapid development and wide adoption of the Internet of Things (IoT), traditional device-centric IoT is moving into a new era where ubiquitous IoT resources are encapsulated and represented in terms of smart IoT services. In this setting, IoT resources at a certain network region are dynamically integrated through innovative IoT services for the realization of the value of interconnected IoT resources and the satisfaction of (near) real-time, intelligent and local user demands, and consequently, for the promotion of IoT intelligence at the edge of the network. To address this challenge, this research track calls for submissions on the topics including, but are not limited to, the following:

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Technology Track 4: EHealth, Mobile Health, Wellbeing and Sport

CHAIRS

“Big data” is endowing the traditional healthcare with mobility, intelligence and convenience, which has given birth to “E-Health & Mobile Health”. In such a mobile health environment, tasks like health monitoring of patients, information exchange between doctors and patients, intelligent diagnosis and information push, etc., can be automatically and rapidly accomplished by analyzing a large number of data collected from various mobile devices. However, such mobile applications face numerous challenges due to the voluminous data and complex procedures. Topics in this track include but are not limited to:

Submit     Return    

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Technology Track 5: Artificial Intelligence and Internet of Things

CHAIRS

Track program committee:

As The Internet of Things (IoT) continues to be envisioned as the most popular technology, the research of IoT has turned to how to drive value from IoT. While people have enjoyed a treasure trove of big data from IoT, the sheer volume of data being created by the IoT creates a big problem to analyze the deluge of data and information. Recently, the rapid development of artificial intelligence technology encounters great challenges as well as opportunities for IoT.
The proposed track provides the ground for emerging research ideas on how Artificial Intelligence (AI) can make a valuable contribution to solving problems that the Internet of Things. Contributions may come from diverse fields, including artificial intelligence; dependable computing; the Internet of Things; cyber-physical systems; mobile, wearable, and ubiquitous computing; ambient intelligence; architecture.
Original technical submissions on, but not limited to, the following topics are invited:

Submit     Return    

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Technology Track 6: Ubiquitous Sensing and Intelligent Media

CHAIRS

Ubiquitous Sensing and Intelligent Media, including environment sensing, Internet of Things (IoT), data or multimedia acquisition, intelligent media processing, harmonious human-computer interaction and pervasive computing have attracted huge interests from researchers. Accordingly, there are a variety of potential application in Ubiquitous Sensing and Intelligent Media. The aim of this track is to survey a state of art of methodologies, algorithms and systems in advanced research into Ubiquitous Sensing and Intelligent Media, which may involve any types of media data such as visual (including 2D, 3D and RGB data), audial, Electroencephalography (EEG)/MRI/CT and touch sensory data etc.

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Fushimi inari taisha

Technology Track 7: METAVERSE

CHAIR

Metaverse, as an extension of the Internet of People and an emerging concept, is going to bridge the real world to virtual world via information technology. By exploiting digitization and virtualization technologies, metaverse will act as a digital living space within brightly new social systems. This digital living space calls the integration of many technologies, such as VR/AR/MR, 5G/6G communications, AI, blockchain. It also brings multiple edging topics to meet people’s needs beyond the present technologies. We welcome high quality papers that describe original and unpublished research advancing the state of the art in Metaverse Computing and Communications, Metaverse Security, Metaverse Interaction and Applications. Topics for submissions include but are not limited to the following:

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Arashiyama

Digital Economy SECTION

Digital Economy TRACK 1: digital economy

CHAIRS

The digital economy is booming over the world, especially emerging markets in recent years. The new digital paradigms include a vast array of enabling technologies, such as the Internet of Things, Big Data, Artificial Intelligence, Cloud Computing, and Augmented and Virtual Reality, Smart Manufacturing, etc. Novel business models are emerging day by day. In the times of the digital economy, the platform economy supported by algorithms, big data, and computing power is replacing the traditional development model where companies are the primary unit. The three elements of digital models (algorithm + big data + computing power) are gradually becoming the new production factors of the intelligent economy. There is surely a list of challenges for digital economics as a brand-new model which is completely different from traditional ones, such as the digital transitioning of enterprises, the flatization of organizational structure, the operation of digital business models, the fully usage of the big data capital, and the smart algorithms to realize the intelligentalization, among many others.
This track is intended to bring together scholarly contributions from a variety of disciplines that will shed light on technological and social change in the digital time.
Topics include, but are not limited to, the following:

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Biwa lake

Digital Economy TRACK 2: FINTECH

CHAIR

FinTech is currently becoming one of the most promising areas. It is significantly changing business models in financial companies. Technology is fueling the transformation of finance and even business in unpredictable ways. However, a long list of challenges in this promising area exist. The track aims at bringing together research efforts focused on the development of methods, tools and techniques for the handling of various aspects of FinTech from academia and industries.

The solicited original papers include, but are not limited to, the topical areas listed below:

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Biwa lake

Digital Economy TRACK 3: BLOCKCHAIN AND DEFI

CHAIR

This track aims to promote research in the topics of trading strategies, risk management and regulations in blockchain technology, cryptocurrency and DeFi. We are accepting original theoretical or empirical research articles but not limited to the following topics:

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Kusatsu

Digital Economy TRACK 4: AI-DRIVED QUANTITATIVE TRADING

CHAIR

In recent years, quantitative trading methods represented by statistical arbitrage, paired trading, algorithmic execution, CTAs, and high-frequency trading have made great progress in financial markets. The frontiers of quantitative finance are still changing rapidly, driven by a variety of evolving quantitative methods and technologies. With the increasing abundance of hedging instruments and the increasing complexity of investments, how to handle the laws of the market through big data and AI technology has become a common concern for researchers. Robo-Advisory, for example, has become an innovative service that combines quantitative investment and wealth management businesses. Quantitative investment will lead the future of finance and promote a new pattern in the field of technology finance. This is the result of the comprehensive application of cutting-edge technology represented by AI in Fintech. Topics include, but are not limited to, the following:

  • Application of artificial intelligence in technology finance
  • Design and pricing of financial derivatives under the background of big data
  • Systematic financial risk measurement and evaluation
  • New Theory and its application in high-frequency trading
  • Market dynamics and prediction
  • Robo-Advisor and other innovative practices
Submit     Return    

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Digital Economy TRACK 5: BIG DATA IN FINANCE AND BUSINESS

CHAIR

  • Dr Yezhou Sha, Capital University of Economics and Business, shayezhou@cueb.edu.cn

The application of big data in finance and business has become prominent in both academic research and practical operations. A crucial task is to effectively analyzing and utilizing this information in the big data era. This forum aims to explore the innovative applications and challenges of big data in the fields of finance and business. We welcome submissions on the following topics:

  • Applications of big data analytics in finance
  • Business intelligence and data-driven decision making
  • Machine learning and trading
  • Big data applications in risk management
  • Customer behavior analysis and prediction
  • Sentiment analysis in financial markets
  • Blockchain and data privacy protection
  • Big data in credit assessment
  • Data visualization and information presentation
  • Fintech and innovative business models

This session will provide a platform for academia and industry to exchange ideas and discuss cutting-edge issues and trends in the application of big data in finance and business.

Submit     Return    

Kusatsu river

Call for special session and workshop

We recommend organizing Special Sessions and Workshops for IIKI2024. Proposers should submit their proposals for Special Sessions or Workshops to the Technical Program Committee (TPC). The proposals will be reviewed, and approval will be granted by the TPC.

For Workshops, the standard duration is a half-day, and all participants are required to register for the conference. For Special Sessions, the organizers must gather 5 to 6 papers, and each presentation should be allocated 20 minutes. Presenters are also required to register for the conference.

We suggest the following topics, but they are not limited to:

  • AI
  • IoT
  • Economy
  • Big Data

Importance date:

- Submission dateline: September 15, 2024 September 30, 2024
- Notification date: October 15, 2024

All questions concerning Workshop or Special Session proposal submissions should be directed to the IIKI2024 secretary iiki2024conf@gmail.com.

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Dates

 IMPORTANT DATES

- Paper Submission Deadline: September 15, 2024 September 30, 2024
- Paper Acceptance Notification: October 15, 2024
- Camera-ready Paper Submissions: October 25, 2024
- Conference Date: December 6-8, 2024

 HOW TO SUBMIT

We encourage submission of full papers and position papers presenting novel ideas that may lead to insightful technical discussions.

Papers should contain original contributions that have not been published or submitted elsewhere, and references to related state-of-the-art research.

Please submit your papers at https://www.easychair.org/conferences/?conf=iiki2024

You can download Paper Template from IIKI PAPER LATEX TEMPLATE;   IIKI PAPER DOC TEMPLATE.

Please contact iiki2024conf@gmail.com for further enquiries.

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Registration

Please complete the paper registration refering IIKI2024_Registration.

Category Fee Reception Banquet
Full Registration 430 USD
(3,000 CNY, 60,000 JPY)		 Included Included
Non-Author Registration
(without paper)		 220 USD
(1,500 CNY, 30,000 JPY)		 Included Included

1. The registration fee includes 6 pages for each paper. The fee for each page exceeding 6 pages is 75 USD (10,000 JPY).
2. Each paper needs to be covered by at least one registration at the full rate (Full Registration).
3. Each Registration (Full or Non-Author) is only for 1 person..
4. Each author’s full registration only covers one paper that they authored or co-authored.
5. Papers without full registration will not be included in the program and the proceedings.

Q & A:

Q1: We have two people attending the conference, but we only have one paper. How much do we need to pay?
A1: You need to pay for one full registration (60,000 JPY) and one non-author registration (30,000 JPY), totaling 90,000 JPY.

Q2: Our paper is a total of eight pages. How much do we need to pay in total?
A2: You need to pay the base registration fee of 60,000 JPY plus 20,000 JPY for the extra 2 pages, totaling 80,000 JPY.

Q3: We have a total of three papers. How can we pay for all of them using one account?
A3: You need to select the base registration fee of 60,000 JPY for one paper. Then, in the system, select the additional fee of 120,000 JPY for the other two papers.

Note: During the registration process, please include a note with your paper ID, author(s), title, and institution.

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Program

IIKI 2024 Conference Program

Final program is available from here.

Togetsu Bridge

Keynote Speakers

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Professor Anton Kos
University of Ljubljana

Anton Kos

Anton Kos received his Ph.D. in electrical engineering from the University of Ljubljana, Slovenia in 2006. He is currently an associate professor at the Faculty of Electrical Engineering, University of Ljubljana. Between 2000 and 2009 he was the head of IT at GlaxoSmithKline d.o.o., Ljubljana, Slovenia. He is the (co)author of a scientific monograph, more than sixty papers published in international engineering journals, more than hundred contributions at international conferences, and two patents. He is a member of the research program ICT4QoL - Information and Communications Technologies for Quality of Life, funded by the Slovenian research agency. He is the leader of two industrial research and development projects that design sensor-based smart systems. His teaching and research work includes signal processing, communication networks, information systems, quality of service, dataflow computing, and real-time biofeedback systems. His professional work encompasses co-organizing international VIPSI conferences, serving as a program committee member at several international conferences, and serving as an associate, topic, and guest editor for several international scientific journals. He is a senior member of IEEE, the Union of Electrical Engineering of Slovenia, and SICOM. Between 2018 and 2022 he was IEEE Slovenia ComSoc chapter chair.

Topic: Biomechanical feedback systems for elite sports coaching

Sensors, wearables, wireless networks, and other Internet of Things technologies are ever more present in our daily life. We study their applicability and use in biomechanical feedback systems and applications in elite sports. Wearable sensor devices attached to the athlete offer valuable supplemental information to athletes and coaches during training. Real-time biomechanical feedback systems can increase the efficiency of training. Sensors, actuators, and wireless technologies come in great varieties regarding their properties. We present the most important constraints of a biofeedback system operation and define a number of fundamental architectures of biofeedback systems. Taking into account all of the above, we present a number of different applications in sports with emphasis on their operation in real time. The wide adoption of wearable sensor device based applications will lead to cloud systems where big data analytics and AI will offer additional benefits to healthcare, well-being, and quality of life.



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Professor Zhongkui Wang
Ritsumeikan University

Zhongkui Wang

Zhongkui Wang received his Ph.D. degree in robotics from Ritsumeikan University, Japan, in 2011. From 2011 to 2012 and 2012 to 2014, he was a Research Associate and a Postdoctoral Fellow, respectively, with Ritsumeikan University. During his Postdoc, he visited ETH Zurich for 6 months as a visiting scholar. From 2014-2019, he was an Assistant Professor at Ritsumeikan University. Since 2019, he became an Associate Professor with Ritsumeikan University. His research interests mainly include soft robotics, biomedical engineering, and automation in the food industry and agriculture. He received the Best Paper Award on Robotics at the 2018 IEEE Int. Conf. on Realtime Computing and Robotics, and the Best Paper Award at the IEEE 24th Int. Conf. on Mechatronics and Machine Vision in Practice. He is an Associate Editor for the IEEE Robotics and Automation Letters and Biomimetic Intelligence and Robotics, and an Editorial Board Member of Chinese Journal of Mechanical Engineering. He is a senior member of IEEE, and a member of RSJ and JSME.

Topic: Soft Robotics Approach and IoT Technology for the Food Industry Automation

Automation using robots is highly demanded in the food industry and agriculture in Japan due to the labor shortage in recent years. There are several challenges while introducing robotic system into the food industry and agriculture, such as the recognition of food materials in a bin-picking scenario, handling food materials with large variations in shape, size, and physical properties, and handling at high-speed motion and low-cost system request. In this talk, a national project for improving automation and IoT technologies in the food industry and agriculture will be introduced and several robotic systems developed in our group for handling food and agricultural products will be presented. Particularly, we took the advantages of soft robotics approach to develop various kinds of robotic end-effectors, which will be explained in detail together with test results from our industrial partners. In addition, a database of food properties for robotic handling will be presented for facilitating the development of robotic end-effectors for food handling.

Ishiyamadera

Publications

The proceedings of IIKI2024 will be published by the IEEE computer society.

Several high-quality international journals will carry selected papers from the conference in specially commissioned theme issues.

Journal Publications

Extended version of selected papers from the conference will be recommended to the following journals for publication.

Global Information Management

Collaboration: The Journal of Global Information Management (JGIM) will publish a collection of GIM related articles as a special issue from IIKI2024.(ISSN:1062-7375).

Sagano Bamboo Grove

Hotel and Travel

Hotel

Kusatsu Estopia Hotel

Address: 4-32 Nishiojicho, Kusatsu, Shiga 525-0037

The hotel information: Kusatsu Estopia Hotel is located in Kusatsu, the Southeast of Shiga Prefecture, which is near to Japan's largest lake - Lake Biwa. This hotel is about a 3-minute walk from JR Kusatsu Station, which is 20 minutes by train from Kyoto Station.

Hotel Boston Plaza Kusatsu

Address: 1-27 Nishiojicho, Kusatsu, Shiga 525-0037

The hotel information: Hotel Boston Plaza Kusatsu is located in Kusatsu, the Southeast of Shiga Prefecture, which is near to Japan's largest lake - Lake Biwa. This hotel is about a 1-minute walk from JR Kusatsu Station, which is 20 minutes by train from Kyoto Station.

Urban Hotel Minami Kusatsu

Address: 1 Chome-1-5 Minamikusatsu, Kusatsu, Shiga 525-0050

Hotel Information: Urban Hotel Minami Kusatsu is a 1-minute walk from JR Minami Kusatsu Station, which is a 20-minute ride from Kyoto Station. Urban Hotel Minami Kusatsu is also a 15-minute drive from Biwa Lake Museum and a 20-minute drive from Biwa Lake Bridge.

Visas

Foreign citizens must obtain a Japanese visa before entry into Japan, with the exception of visa-free entry based on relevant agreements or regulations. An Business Visa is issued to foreign citizens who are invited to Japan for a visit, research, lecture, business, exchanges in the fields of science, technology or culture, advanced study, or internship for a period of no more than 90 days.

 

Ritsumeikan University

Organizing Committee

Steering Committee

Peter Thomas, Falmouth Univeristy, UK
Xiuzhen Cheng, George Washington University, USA
Rongfang Bie, Beijing Normal University, China
Yudong Qi, Beijing Normal University, China

General Chairs

Yu Bai, California State University, Fullerton, USA
Lin Meng, Ritsumeikan University, Japan

Local Chair

Ami Tanaka, Ritsumeikan University, Japan

Publication Chairs

Yu Bai, California State University, Fullerton, USA
Yufeng Shi, Shandong University, China

Program Executive Chairs

Yunchuan Sun, Beijing Normal University, China
Andrej Kos, University of Ljubljana, Slovenia
Houbing Herbert Song, University of Maryland, USA
Zhangbing Zhou, China University of Geosciences (Beijing), China

Program Co-Chairs

Justin Zuopeng Zhang, University of North Florida, USA
Antonio J. Jara, University of Applied Sciences Western Switzerland (HES-SO), Switzerland
Huansheng Ning, University of Science & Technology Beijing, China

Workshop Chair

Lin Meng, Ritsumeikan University, Japan
Song Wang, Kansai Gaidai College, Japan

Technical Programme Committee

Peter Thomas, Falmouth University
Xiuzhen Cheng, George Washington University
Rongfang Bie, Beijing Normal University
Yudong Qi, Beijing Normal University
Yufeng Shi, Shandong University
Yu Bai, California State University, Fullerton
Yunchuan Sun, Beijing Normal University
Anton Kos, University of Ljubljana
Houbing Song, Embry-Riddle Aeronautical University
Chenglei Yang, Shandong University
Antonio J. Jara, University of Applied Sciences Western Switzerland
Jianwu Lin, Tsinghua Shenzhen International Graduate School
Huansheng Ning, University of Science & Technology Beijing
Yuan Gao, Tsinghua University
Zhengjun Zhang, University of Wisconsin Madison
Hao Jiao, Beijing Normal University
Hefeng Tong, Tencent
Zhipeng Cai, Georgia State University
Lottie Luo, University of California, Irvine
Yinjie Huang, Twitter
Jaya Dofe, California State University
Rakeshkumar Mahto, California State University
Qinghe Du, Xi’an Jiaotong University
Atanasios Polydoros, University of Lincoln
Zhangbing Zhou, China University of Geosciences (Beijing)
Lin Meng, Ritsumeikan University
Zhongkui Wang, Ritsumeikan University
Ami TANAKA, Ritsumeikan University
Zhihan Lv, University College London
Andrej Zemva, University of Ljubljana
Fadi Farha, University of Aleppo
Yudong Guo, Jinzhong University
Lifen Wu, Jinzhong University
Yali Liu, Jinzhong University
Yezhou Sha, Capital University of Economics and Business
Xiangbo Kong, Toyama Prefectural University
Woong Choi, Kangnam University
Pengcheng Liu, York University
Zenghui Wang, University of South Africa
Junhuan Zhang, Beihang University
Aravinda C V, NMAM Institute of Technology
Baogang Zhang, QualComm
Mingshuo Liu, University of California
Liston Matindife, National University of Science and Technology
Langa B. Moyo, National University of Science and Technology
Eric Maluta, University of Venda, South Africa
Nekhubvi Vhutshilo, University of Venda, South Africa
Renata Ntelia, University of Lincoln
Mingming Xiao, Amazon, USA

 

Contact

Secretariat

Yifei Ge, Ritsumeikan University Ph.D. student
Zhuo Li, Ritsumeikan University Ph.D. student
Zhenling Su, Ritsumeikan University Ph.D. student
Xin Wang, Ritsumeikan University Ph.D. student
Mengtao Wang, Ritsumeikan University Ph.D. student

Please contact iiki2024conf@gmail.com for further enquiries.

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Access

Adress: Ritsumeikan University, Biwako-Kusatsu Campus, 1-1-1 Noji-higashi, Kusatsu, Shiga 525-8577

E-mail: iiki2024conf@gmail.com

Venue: (Ritsumeikan University Rohm Plaza) Map