IWBigDataCity 2020

2nd International Workshop on
Big data, cloud, and IoT technologies for smart cities
February 19th , 2020, Busan, Korea
In conjunction with IEEE BigComp 2020

 

 

About IWBigDataCity 2020

The second international workshop on big data, cloud, and IoT technologies for smart cities is a forum for researchers in academia and industry who are interested in big data, cloud, and IoT technologies for smart cities and their use cases. The goal of this workshop is to share novel ideas, research progress, and smart city use cases, and to discuss future directions of smart city technologies. The workshop focuses on the added value interconnection among state-of-the-art technologies such as, Big Data, cloud/edge computing, Internet of Things, blockchains, cybersecurity and others having as aim to provide services in the context of the smart cities.

Topics of Interest

The topics of this workshop cover big data, cloud, and IoT technologies for smart cities. The world is facing numerous problems such as global warming, economic crisis, security threats, inequality, natural disasters, and ageing society, and ICT solutions, such as big data, cloud computing, and IoT, are expected as the keys to cope with those problems. Meanwhile, smart cities have been emerging as an improved form of cities where different types of ICT solutions are used to efficiently manage assets and resources.
The workshop invites papers sharing results of smart city applications and experimentations performed in lab and at city scale, in particular with involvement of a multitude of related stakeholders. Technical validation, as well as assessment results of non-technical aspects such as usage, social acceptance, privacy or ethics related issues are particularly encouraged. Topics of interest include, but are not limited to:

• Smart City applications
• Internet of Things in cities
• Middleware technologies
• Security and privacy
• Cloud Computing integration
• Communication protocols
• 5G deployments and applications
• Testbeds, deployments and experiments
• Open data and measurement
• Machine Learning and data mining
• Big Data applications
• City context analysis, visualization, and applications
• Blockchains and smart contracts
• Citizen health and lifestyle enhancement
• Safety and disaster management
• Location prediction in social media and web
• Evaluation of frameworks, metrics and algorithms

Paper Submission

Prospective authors are invited to submit high-quality manuscripts presenting original work, on-going projects, and case study results in the abovementioned topics (but not limited to them). Papers must be formatted in PDF according to the IEEE two-column format for conference proceedings and submitted through EasyChair. The direct link for paper submission is https://easychair.org/conferences/?conf=iwbigdatacity2020 .

Papers can be either regular or short papers, where regular papers are limited to 8 pages and short ones to 4 pages. The paper templates with formatting instructions can be found at:

All workshop papers will be published in the IEEE Xplore Digital Library as conference proceedings.

Important Dates

• Paper submission: November 15th, 2019. (GMT)  November 25th, 2019 (extended)
• Notification of acceptance:  November 28th, 2019. December 20th, 2019 (extended)
• Camera-ready due:  December 6th, 2019. Early January (final date to be confirmed)
• Author registration: December 30th, 2019.
• Workshop session: February 19th, 2020.

Detailed Workshop Programs

Workshop Day: February 19 (Wednesday), 2020

2nd International Workshop on Big Data, Cloud, and IoT Technologies for Smart Cities (IWBigDataCity 2020)

09:00 – 11:00, February 19 (Wednesday), 2020

Location: Room #322

Organizers: Kenji Tei (Waseda University, Japan), Toshiyuki Amagasa (University of Tsukuba, Japan), and Antonios Litke (National Technical University of Athens, Greece)

09:00-09:20

  • Opening
  • Big Data, Cloud and IoT Technologies for Smart Cities: The M-Sec project paradigm – objectives, current status and related future research topics

Kenji Tei (Waseda University)

09:20-10:50

Session 1

  • Benchmarking Jetson Platform for 3D Point-Cloud and Hyper-Spectral Image Classification
    Shan Ullah and Deok-Hwan Kim (Inha University)
  • Normalized Residue Analysis for Deep Learning based Probabilistic Forecasting of Photovoltaic Generations
    Soyeong Park, Sunme Park, and Euiseok Hwang (Gwangju Institute of Science and Technology (GIST))
  • Research Issues on Generative Adversarial Networks and Applications

Toshpulatov Mukhiddin, WooKey Lee, Suan Lee, Tojiboev Rashid (Inha University, South Korea)

10:50-11:00

  • Closing

Workshop and Program Co-Chairs

Kenji Tei, Waseda University, Japan

Toshiyuki Amagasa, University of Tsukuba, Japan

Antonios Litke, National Technical University of Athens, Greece

Web Chair

George Palaiokrassas, National Technical University of Athens, Greece

Technical Program Committee members

Savong Bou, University of Tsukuba, Japan
Feng Chen, National Institute of Informatics, Japan
Giuseppe Ciulla, Engineering, Italy
Daisuke Kitayama, Kogakuin University, Japan
Rodger Lea, Lancaster University, U.K.
Frederico Lopes, UFRN, Brazil
Jin Nakazawa, Keio University, Japan
Tadashi Okoshi, Keio University, Japan
Georgios Palaiokrassas, National Technical University of Athens, Greece
Shiori Sasaki, Keio University, Japan
Hiroshi Sato, NTT, Japan
Hiroaki Shiokawa, University of Tsukuba, Japan
Michiharu Takemoto, NTT, Japan
Kei Wakabayashi, University of Tsukuba, Japan
Chiemi Watanabe, University of Tsukuba, Japan

Contact

For any inquiry please send an email to: info (at) iwbigdatacity.org