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IoT Acceleration Lab Will Hold the 1st Event for Project Organization and Company Collaboration by Theme, IoT Lab Connection

On Thursday, January 28, 2016, the IoT Acceleration Lab will hold a theme-based event for project organization and company collaboration, the 1st IoT Lab Connection, toward the creation and implementation of advanced projects using IoT. On December 15, 2015, The Lab began accepting applications for participation in Solution Matching (matching of companies, associations, and municipalities related to the fields of tourism and smart factories) and the Big Data Analysis Contest for the event. The Lab is looking forward to receiving your application.

1. Purpose

Due to the fact that industrial and social structures are changing significantly through progress in the technologies of IoT, AI, and Big Data, the Ministry of Economy, Trade and Industry (METI) plans to work on revising regulations and systems, advancing demonstration projects toward the development of the business environment including the formation of cross-industry rules, and feasibility studies, aiming for the creation and implementation of advanced projects using IoT in Japan.

The IoT Acceleration Lab, which was established under the IoT Acceleration Consortium in October 2015, will hold the 1st IoT Lab Connection on Thursday, January 28, 2016, aiming to create and promote the implementation of projects connecting to the abovementioned demonstration projects and feasibility studies as the first step in developing the support environment for company collaboration.

At the 1st IoT Lab Connection,
(1) company collaboration between and project organization by member companies of the IoT Acceleration Lab (Solution Matching) and
(2) the Big Data Analysis Contest
are to be conducted to develop algorithms relating to Big Data and to uncover human resources.

2. The 1st Solution Matching

Matching of member companies or company groups, associations, and municipalities with business models, technologies, and/or services related to the two themes of (1) tourism and (2) manufacturing (smart factories) will be conducted.

Date: Thursday, January 28, 2016, 10:00 a.m. - 7:00 p.m.
Venue: TBD (Somewhere in the Tokyo area. Application details will be available on the website at a later date.)
Themes: (1) Tourism, (2) Smart factories
Participation fee: Free
Target groups: IoT Acceleration Lab member companies, associations and municipalities, etc. with needs or seeds for business (ideas) and services, products, and technologies related to the two themes of (1) tourism and (2) manufacturing (smart factories)
Application procedure: Please download the application instructions and the application forms through the Solution Matching website and submit the finished application documents as e-mail attachments.
(Deadline: noon on Thursday, January 7, 2016.)
http://iotlab.jp/jp/connection.htmlExternal Site Link (in Japanese)
*Please continue to check the abovementioned website for details of the application procedure and the schedule.*

3. The 1st Big Data Analysis Contest

A competition for algorithm development will be held online focusing on Big Data provided by various entities such as companies and data analysis using such data, under the theme of tourism. Superior algorithm developers from the perspective of predictability and modeling ideas will be given awards at this event.

Application period for the contest: From Tuesday, December 15, 2015 to Friday, January 15, 2016
Date of announcement of award recipients: Thursday, January 28, 2016, 5:00 p.m.
Theme: Tourism
Participation fee: Free
Target participants: A wide range of persons (Please check the following website for qualifications for participation.)
Application procedure: Please apply using the following website.
*URL: https://iot.datasciencelab.jp/External Site Link (in Japanese)

Data to be provided at the 1st Big Data Analysis Contest

Data on the length of stay at accommodations

  • Provided by: Tourism Forecast Platform (project commissioned by METI under the FY 2014 supplementary budget: Commercialization Support Project for Venture Businesses Responding to the Latest Issues (Demonstration Project Using Data from Various Regions))
  • Data sets: Daily lodging results in 14 cities in Japan: the number of infrastructure sites related to tourism in 14 cities in Japan compiled and categorized by departure point (within Japan, overseas, and by prefecture) and age: Wi-Fi spots, duty-free shops, etc.
  • Reference URL: https://kankouyohou.com/External Site Link (in Japanese)

Data on commuting population

  • Provided by: Regional Economy Society Analyzing System (RESAS) (Head Office for Creation of Cities, People, and Work, Cabinet Secretariat)
  • Data sets: Movement information of people by municipality, daytime temporary population by working days / non-working days and time of day, and degree of concentration of commuting population using mesh
  • Reference URL 1: https://resas.go.jp/External Site Link (in Japanese)
    (Top page of Regional Economy Society Analyzing System (RESAS))

  • Reference URL 2: https://www.kantei.go.jp/jp/singi/sousei/resas/External Site Link (in Japanese)
    (Website for explanation and information on Regional Economy Society Analyzing System (RESAS) (Head Office for Creation of Cities, People, and Work, Cabinet Secretariat))

Data on foreigners visiting Japan

  • Provided by: Regional Economy Society Analyzing System (RESAS) (Head Office for Creation of Cities, People, and Work, Cabinet Secretariat)
  • Data sets: Number of foreigners visiting Japan by country and purpose in each prefecture, foreigners’ lodging status by month in each municipality, and foreigners’ lodging status by unit of mesh
  • Reference URL 1: https://resas.go.jp/External Site Link (in Japanese)
    (Top page of Regional Economy Society Analyzing System (RESAS))

  • Reference URL 2: https://www.kantei.go.jp/jp/singi/sousei/resas/External Site Link (in Japanese)
    (Website for explanation and information on Regional Economy Society Analyzing System (RESAS) (Head Office for Creation of Cities, People, and Work, Cabinet Secretariat))

SNS data

  • Provided by: kuchikomi@kakarichomail_link (Hottolink, Inc.)
  • Data sets: Number of contributions by day including words related to tourism and target cities for predictions (blogs, twitter, and message boards)
  • Provided by: Nightley Inc.
  • Data sets: Daily Number of contributions from 14 cities in Japan (twitter)

Weather data

  • Provided by: Environmental Sensor Network (NTT DOCOMO, INC.) and Japan Metrological Agency
  • Data sets: Weather data for 49 places in Japan: Daily Integrated data on temperature, precipitation, and humidity

Exchange data

External data

  • Available to analysts without restrictions
  • Available to the public
  • Usable without infringing the rights of third parties

Reference

IoT Acceleration Lab Action Plan (PDF:1,690KB) PDF File

Release date

December 15, 2015

Division in charge

  • Information and Communication Electronics Division, Commerce and Information Policy Bureau
  • Service Industries Office, Service Affairs Policy Division, Commerce and Information Policy Bureau
  • Regional Economic and Industrial Research Office, Regional Economic and Industrial Policy Group  
Ministry of Economy, Trade and Industry
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