IoT Acceleration Lab(Advance Project Acceleration WG)

IoT Support Committee (Fifth Meeting)
AgendaDate & Time:

Tuesday, September 25, 2018
9:00-11:00

Location:

Room 10 and 11, Belle Salle Tokyo Nihonbashi

Proceedings:

Activity Report and Future Action Plans of
IoT Acceleration Lab[Handouts]
Material #1:
Material #2:

List of Committee Members
Activity Report and Future Action Plans of IoT Acceleration Lab

Reference Material #1: 5th IoT Lab Selection Lists of projects to be supported
Reference Material #2: Implementation State of IoT Lab Demonstration FY2018
by Themes
Reference Material #3: J-Startup
Reference Material #4: Local IoT Acceleration Labs
Summary of Regions Selected in the 4th Selection
Reference Material #5: Connected Industries and IoT-related Budgets, etc.

Material #1
IoT Acceleration Lab IoT Support Committee
List of Members(Titles omitted)[Chairman]
Kazuhiko Toyama

Representative Director and CEO, Industrial Growth Platform, Inc.

[Members]
Akira Sakakibara

Chief Technology Officer, Microsoft Japan Co., Ltd.

Fujiyo Ishiguro

President and CEO, Netyear Group Corporation

Hiroaki Nakanishi

Chairman of the Board, Executive Officer, Hitachi, Ltd.

Jun Murai

Professor, Faculty of Environment and Information Studies /Graduate School of Media and Governance, Keio University

Junichi Tsujii

Director, Artificial Intelligence Research Center (AIST)

Klaus Meder

President and Representative Director, Bosch Corporation

Makoto Takahashi

President, KDDI CORPORATION

Masaaki Tanaka

President & CEO, Japan Investment Corporation

Paul Daugherty

Chief Technology Officer, Accenture plc

Shinichi Koide

Executive Vice President, salesforce.com, Inc., Chairman andCEO, salesforce.com Co., Ltd.

Shiro Uchida

Chairman and Representative Director, SAP Japan Co., Ltd.

Soichi Kariyazono

Chairman, Japan Venture Capital Association

Tadao Nagasaki

Representative Director and President, Amazon Web Services
Japan K.K.

Takako Fujiki

Executive Officer, Sales Director 3rd Sales Region Regional sales
Group Japan, Intel K.K.

Takayuki Hashimoto

Honorary Executive Advisor, IBM Japan, Ltd.

Takeshi Natsuno

Guest Professor, Graduate School of Media and Governance, Keio
University

Tatsuya Harada

Professor, Department of Mechano-Informatics, Graduate Schoolof Information Science and Technology, The University of Tokyo

Taro Shimada

Process Ind. & Drives Division, Siemens K.K.
Senior Executive Operating Officer & Division lead, Digital Factory

Tony Blevins

Vice President, Apple Inc.

Wavde Mandar

Commercial

leader,GE

DigitalJapan,

GeneralElectric

International Inc.
Wayoh (Kazuhiro) Suzuki

Chairman & Business Development, Executive, Cisco Systems
G.K.

Yasufumi Kanemaru

Chief Executive Officer, Future Architect, Inc.

Yoshitaka Sugihara

Head of Public Policy and Government Relations, Google Japan
G.K.

Material 2

Activity Report and Future Action Plansof
IoT Acceleration Lab
September 25, 2018
Commerce and Information Policy Bureau
Ministry of Economy, Trade and Industry

Today’s Discussion
Our past activities
In order to create new IoT business models, and discover/develop IoT platform
creators as a driving force for new growth, the IoT Acceleration Lab has
implemented:① Support for regulatory reform of narrow-focus short term projects, as well as
business matching, and② Support of mid and long-term projects and regional/global collaboration
Future Action Policy

Mostly achieved goals such as creation of IoT business models during thestarting-up period of IoT/AI/Big Data-related projects.
Examine future activities of IoT Acceleration Lab from two perspectives(global/local) for further spread of IoT/AI use and application.

1

Activities of IoT Acceleration Lab

IoT Acceleration Consortium3In response to the era of IoT/Big Data/AI, the “IoT Acceleration Consortium” was established as an organization led by theprivate sector to promote the use of IoT in industry, government, and academia beyond the framework of individualcompanies and industries.（Established on Friday, October 23, 2015)



Makes proposals on technological development and practical use of IoT, solutions for policy issues, etc. Currently, there
are more than 3,600 member companies.

General ■ Chairperson
Meeting ■ Vice Chairperson
Steering Committee

Chairperson* Jun Murai

Dean of the Graduate School of Media and Governance,
Professor, Faculty of Environment and Information Studies, Keio University
Hiroo
UnouraPresident and CEO of Nippon Telegraph and Telephone Corporation (NTT)
Vice
Chairperson* Hiroaki Nakanishi Chairman of the Board, Representative Executive Officer, Hitachi, Ltd.
Steering Committee
Members*

Yutaka Ohashi
Noboru Koshitsuka
Mitsunobu Koshiba
Yutaka Saito
Toshiyuki Shiga

Hiromichi Shinohara
Osamu Sudo

Chairperson Jun Murai

Executive Vice President,
Mitsubishi ElectricProfessor, University of Tokyo
Graduate School
President, JSR
Vice President, Hitachi Ltd.
CEO and Chairman of Innovation
Network Corporation of Japan
Vice President, Nippon Telegraphand Telephone Corporation (NTT)Professor, University of Tokyo
Graduate School

Technology Development
ＷＧ

Advanced Model
Businesses Promotion ＷＧ(Smart IoT Acceleration Forum)(IoT Acceleration Lab)

Development, demonstrationand standardization of IoTrelated technologies such as
networks

Creation of advanced modelbusinesses, improvement ofbusiness environment
through regulatory reform,
etc.
Coope
-ration

Dean of the Graduate School of Media and Governance & Professor,
Faculty of Environment and Information Studies, Keio University
Hikaru Domoto

Vice Chairman, NHK

Hideyuki Tokuda

Chairman, National Institute of Information
and Communications Technology
President & CEO, IPSe Marketing, Inc.
LawyerAdviser, Accenture

Sawako Nohara
Izumi Hayashi
Chikatomo Hodo

Yutaka Matsuo

IoT Security ＷＧ
Review of theguidelines on network
connection of IoT
equipment, etc.

Associate Professor, University of Tokyo
Graduate School

Data Flow
Promotion WG

International
Cooperation WG*

Review of the tasks inthe fields of high data
flow needs, etc.

Review of the overseas
development strategies
for the fields overwhich Japan has anedge, etc.

Coope-rationMinistry of Internal Affairs and Communications, Ministry of Economy, Trade and Industry, etc.
*As of October 3, 2017 (The 3rd General Meeting of IoT Acceleration Consortium)

Activities of IoT Acceleration Lab（Outline）

4

 In order to create new IoT business models, and discover/develop IoT platform creators as a driving force for new growth,
the IoT Acceleration Lab aims to provide short term project support and business matching, and also expand activities to
mid and long-term project support and regional/global collaboration, linking them organically.

Financial support

Regulatory reform,
standardization, etc.

Corporate collaboration suppor

Short-term projects① IoT Lab Selection (IoT Project Selection Meeting)② IoT Lab Connection (Solution matching)

Scout/select advanced IoT projects to provide financial
support, mentor support, and regulatory reform
support.

Until now, matching has been conducted themed on tourism,
smart factory, healthcare/sports, logistics/distribution/
infrastructure, smart home, mobility,
education, agriculture/food, fintech,work style reform, sharing economy,risk management, entertainment,
and smart life.
②-1 Big Data Analysis Contest

Mid & longterm PJ③ IoT Lab Demonstration (Test bed demo.)
Mid and long-term demonstration involving multiple
companies according to themes

Competition for developing
online algorithm based on
big data
provided bycompanies ,etc.

②-2 IoT Lab Global Connection
Business
matching,
etc. between
overseasand domestic
companies

Regional④ Local IoT Acceleration Labs
Select regional efforts for promoting the creation of IoT businesses as “Local IoT Acceleration Labs”.
Implement mentor dispatch, staff meetings, and support for exhibition at large-scale events. At
present, 93 regions are selected.

International
cooperation①、②、②－１③～④、②－２…Started in FY 2015

⑤ International cooperation by IoT Acceleration Consortium…Started in FY 2016

In order to promote global development of domestic companies in the IoT field,
cooperate with IoT-related organizations overseas and establish International
Cooperation WG.

4

Latest events and Future Schedule (after Support Committee 4th Meeting)* Underlined red letters represent future plans.

① IoT Lab Selection
March 6, 2018
October, 2018

5

5th IoT Project Selection Meeting
Start public invitation for 6th IoT Project Selection Meeting② IoT Lab Connection
March 6, 2018
6th matching event [Themes: risk management, entertainment, AI]
September 18, 2018 7th matching event [Theme: smart life]
February, 2019
8th matching event [Theme: TBC]②-1 Big Data Analysis Contest
March 6, 2018
October 2018 -3rd Award Ceremony (Subject: PV power generation prediction)
Start 4th Contest②-2 IoT Lab Global Connection
October 16, 2018

Business matching, etc. [ASEAN, EU, India, Israel and Russia] (jointly with CEATEC)③ IoT Lab Demonstration[FY 2018 Demonstration]
February 2018 - Started public invitation/demonstration for Tourism field
March 2018 Started public invitation/demonstration for Smart home fieldMay 2018 Started public invitation/demonstration for Distribution field (electronic tag, trade procedure)Start public invitation/demonstration for Infrastructure field (thermal power generation,hydroelectric power generation)*Regarding Infrastructure field (water supply and sewerage), Industrial safety field, and Airplane field/Automated driving
field, demonstration has been implemented since last fiscal year.

④ Local IoT Acceleration Labs[National staff meeting] 3rd: February 15, 2018
[Selection of the regions] September 7, 2018 Announcement of the 4th Selection results

Outline of IoT Lab Selection (Advanced IoT Project Selection Meeting)6

 In order to discover and help commercialize advanced IoT projects, government agencies, private
financial institutions and venture capitals, etc. work together and implement (1) Financial support, (2)Continuous one-on-one Mentor support from mentors, and (3) Support for regulatory reform andstandardization. Up to now, 49 advanced projects have been selected and supported through five
Advanced IoT Project Selection Meetings.
 The 5th Meeting set “General Category” and “Regions Category” as Category of Entry, and selected 7
advanced projects. Regions Category applicant included companies/organizations, etc. participating in
the Local IoT Acceleration Labs.
(1) General Category: projects other than (2) (6 projects)(2) Regions Category: projects contributing to the solution of regional problems and the revitalization ofregional economy (1 project)
General★Grand Prize★ Category
BONX Inc.
- Accelerating
Communication On-the-Spot
BONX for Business Realized simultaneous calls
by up to 30 people, nodistance restriction with theother persons on the phone,and elimination of crossed
line - merits that had been
unsupported by conventionaltransceiver/intercom system.
Through this project, thefunction was further enhancedby the development ofinteractive interface perfectfor the audio-based
business scenes, etc.

GeneralGeneralRegions
Category★Second Prize★ Category
Optical Comb, Inc.

Special Jury Prize Category
Team TOMO Cloud

Finalist- Mounting machine learning
to automobile productionlines for realizing Industrie
4.0This project implemented thedevelopment of software thatmakes suggestions for
improvement of criterion for
the testing process throughmachine learning based onhigh-capacity three
dimension data stored in thecloud, measured results
collected during the testingprocess.

- LT Monitoring (Lymphedema
Tomography) Relieving Pain in
Patients by Early Discovery Developed technology thatenables visualization
measurement of the substancesuspected of causing
lymphedema. This project, byadvancing such technology,
implemented the developmentof software enabling AI-basedstaging and progression
prediction for lymphedema.

- Regional revitalization by
QR code (Born in Oita
Prefecture) Established a mechanism inwhich foreign tourists toJapan can get translation
services by scanning via
smart phones, etc. the QR
code issued to the sightseeing
information written in
Japanese.

TagFIT Association

5th IoT Lab Selection List of Finalists
5th Selection Finalists
ApplicantCategoryof Entry

Name of the Project★Grand Prize★
BONX Inc.

GeneralCategory

Accelerating Communication On-the-Spot BONX forBusiness★Second Prize★
Optical Comb, Inc.

GeneralCategory

Mounting machine learning to automobile productionlines for realizing Industrie 4.0★Special Jury Prize★
Team TOMO Cloud

GeneralCategory

LT Monitoring (Lymphedema Tomography) Relieving
Pain in Patients by Early Discovery

Stream Technology
Corporation

GeneralCategory

Development of High Performance Data Compression
LSI for IoT Equipment

Konica Minolta, Inc. Business
Innovation Center Japan

GeneralCategory

Non-destructive inspection solutions for visualizing
internal steel fractures in bridge beams by magnetic
sensing and AI

Liberaware Co., Ltd.

GeneralCategory

Swarm of Drones Project : Development of Drones
with Group Control Technology

TagFIT Association

Regions
Category

Regional Revitalization by QR Code (Born in Oita
Prefecture)7

IoT Lab Connection Matching Events for Promoting Corporate Collaboration 8(Solution Matching)The matching event for member companies, organizations and municipalities with seeds and needs isheld as a place where enterprises aiming to create new business models meet with otherenterprises with related business models, technologies/services, etc.
Past thematic events include “Tourism” and “Manufacturing” (1st), “Healthcare (Medical Care &Health)/Sports” and “Logistics/Distribution/Infrastructure” (2nd), “Smart Home” and “Mobility” (3rd),“Fintech,” “Education,” and “Agriculture/Food” (4th), “Work Style Reform” and “Sharing Economy”(5th), and “Risk Management,” “Entertainment,” and “AI” (6th), leading to about 3,100 matching.
The 7th event took place on September 18, 2018 under the theme of “Smart Life,” one of the priority
areas of “Connected Industries” efforts, leading to 352 matching. Also included were a panel
discussion about living or the provinces as well as information dispatch from municipalities that canoffer demonstration fields (Hiroshima Prefecture, Fukuoka City, etc.).

Details of 7th Event
Date: Tuesday, September 18, 2018, 13:00-18:30
Venue: Tokyo (Bellesalle Shinjuku Grand)
Co-hosts: IoT Acceleration Lab, METI, and NEDO
Theme: Smart Life

② Presentation Matching (1:N Matching)
Popular matching companies,
etc. made presentations on theirseeds and needs.

① Business Matching (1:1 Matching)

Based on the needs and seeds
submitted by companies, a list ofmatching companies was preparedprior to the event. 20-minite individual
sessions were held on the day.

108companies/organizations/municipalities participated.
352matching were carried out.

③ Booth Exhibition (1:N Matching)

10companies made presentations.
Approx.300people participated.

Local IoT Acceleration Labs (8regions) set up booths.
Meetings were immediately
arranged with thecompanies/organizations who
showed interest in them.

[Presenter companies]
Yahoo Japan Corporation, LINE
Corporation, Le Grand Co., Ltd, Gunze
Limited, Kotozna, Inc., ADWELL, Inc.,
Strobo Inc., Neuro Space Inc., Hmcomm
Co. Ltd., mui Lab, Inc.

[Exhibitors]
Akita Horizontal Collaboration Lab,
Yokohama city Lab, Yamanashi
Prefecture Lab, Ina city Lab, Fujiedacity Lab, Hakusan city Lab, Hiroshima
Prefecture Lab, Minami Lab

IoT Lab Connection Results of matching events for promoting corporate
collaboration (solution matching)No. of
times

Date

1st

January 28,
2016

2nd

Healthcare (Medicalcare/Health)/Sports,
July 31, 2016
Logistics/Distribution/
Infrastructure

ThemesTourism, Manufacturing(Smart factory)

No. ofparticipatinggroupsNo. ofmatching

190(Average value of questionnaire
survey results)
No. of companies
interacted per
participant

No. of companies up
for futureinteractions

550

10.6

3.6

183

518

6.8

3.4

3rd

October 4,
2016

Smart home/Mobility

135

454

6.8

3.0

4th

March 13,2017

Fintech, Education,
Agriculture (Food)

131

461

7.5

2.8

5th

July 25, 2017

Work style reform/Sharing
economy

139

534

7.5

2.9

6th

March 6, 2018

Entertainment, Risk
management, AI

173

573

7.9

3.1

7th

September 18,
Smart life
2018

108

352

7.2

2.9

3442

7.８

3.1

Total of1st-6th――9

Approx.

1059

691, overlap excluded→ According to the information from 93 companies/organizations and 69 companies/organizations responding to thesecretariat survey on November 2017, June 2018 respectively, about 39 cases of collaborative partnership were formed
among them.

Results of the past IoT Lab Connection

10■ Mitsui Sumitomo Insurance Company, Limited & Arithmer Inc.
Mitsui Sumitomo Insurance Company, Limited and Arithmer Inc., a venture company
launched from The University of Tokyo, concluded an advisory contract on AI. Examine
the application of AI technology to claims processing work, etc. through joint efforts on
AI development.
As the first stage of the joint development, they developed AI that can specify adamaged part and the degree of damage instantly by loading images of the accident.
By utilizing AI in a vehicle repair cost estimation presented by the auto-repair shop,
etc., confirm the damages of the vehicle at an early stage, thus realizing quick
payment of insurance claim. Currently, the technology can identify 27 kinds ofautomobile parts to an accuracy of 95%. Through the implementation of further trial
operations, examine the better application of the technology to the business.

[Display screen image of the damaged part specification]■ Sojitz Corporation & Kyocera Communication System
Sojitz Corporation and Kyocera Communication System started cooperation in August
2017 for the provision of distribution IoT service based on IoT network “Sigfox”, oneof the new wireless communication technologies “LPWA”.
In the recent distribution industry, in addition to “striking a balance between safety
and efficiency” and “establishing/operating environment-friendly distribution service,”
appropriate responses to “the increase in sophistication of global supply chain
management” and “the real-time, seamless information coordination” is required.
The project develops/provides sensor device, application service related to Sigfox,
aiming for the solution of the problems of the industry as well as productivity
improvement of distribution.

■ Hamamatsu City & Sompo Japan Nipponkoa Insurance Inc.
Hamamatsu City and Sompo Japan Nipponkoa Insurance Inc. concluded a “partnershipagreement on the demonstration experiment to deal with the lack of parking lots based on
the sharing economy technique at the time of events related to Hamamatsu City” with aparking sharing service enterprise (Times 24 Co., Ltd).
Through interconnection and cooperation at the time of the events, conduct a demonstration
experiment aiming for improving convenience of Hamamatsu citizens and smoothing thetraffic flow, while coping with the temporarily increased demand for parking lots.

[Image of service provision]

IoT Lab Connection 3rd Big Data Analysis Contest





11

With the aim of competing on the accuracy of data analysis of the challenges/Big Data provided by the industrial
world, etc., Algorithm development contest is held in an easy-to-join online style. By inviting public participation
including students, the contest aims to discover/train excellent data scientists, matching them with data providers, etc.
For the 3rd contest themed on electricity/weather conditions, Tokyo Electric Power Company Holdings, Incorporated andJapan Meteorological Agency provided data. Based on weather/prediction data up to the previous night, calculated thefollowing day’s electric power output of the three solar power plants every 30 minutes.
Infographic Category was newly established this time. Based on provided weather data and arbitrary external data,
evaluated a series of data analysis skills as a whole to conduct “data perspective, hypothesis formulation,
analysis/inspection, and explanation through infographics.” Participants included students in the humanities, the arts, etc.
In addition to the award ceremony at the IoT Acceleration Lab joint event, a friendly meeting was held on the same day as
a place for information exchange and mingling with prize winners.

Hosted by: IoT Acceleration Lab, METI, New Energy and Industrial Technology Development Organization (NEDO)
Supported by: Ministry of Education, Culture, Sports, Science and Technology, Japan Meteorological Agency, Japan Photovoltaic Energy
Association, Weather Business Consortium, Center for Artificial Intelligence Research, University of Tsukuba
Cooperated by: WingArc 1st Inc., Weathernews Inc., NTT DOCOMO INC., Opt, Inc. Kyocera Corp., SAKURA Internet Inc., Sharp Corporation
Tableau Japan, Oracle Corporation Japan, Panasonic Corporation, Hitachi Ltd., and Mitsubishi Electric Corporation
Planning and operation: Opt-Works Co., Ltd (current SIGNATE Inc.), OPT Holding, Inc.
Implementation term: Oct. 2 – Dec. 21, 2017
No. of participants: 331 (Projection Category: 131, Infographic Category: 200) No. of applications: 2,153 (multiple application allowed)
The 3rd contest dedicated website https://signate.jp/competitions/48

Projection Category

Infographic Category

Based on about four years of study data, predicted
the electric output of the projection period (about oneyear). Honored the participants who performed well interms of the analysis accuracy/the originality of an
idea.

Infograhic Category awarded work (example)“Is your residential area good for solar power
generation?”

National weather data

(AMeDAS, surface observation, weather forecast)

Electric power output at the three solar power plants(Ukishima, Ogishima, Komekurayama)？
Study period

Projection
periodAward Ceremony/Reception

IoT Lab Demonstration（Test-bed Demonstrations）

12 Demonstration projects by multiple companies aiming at mid and long-term social implementation
 Aim to improve business environment to share/use data beyond the framework ofoffices/enterprises/corporate groups by making a sharp distinction between competitive areas andcollaborative areas by fields.
 For FY 2018, 4 fields (Infrastructure [thermal power generation, hydroelectric power generation] andDistribution [electronic tag/trade procedure]) are added to 6 fields (Infrastructure [waterworks],
Industrial safety, Aircraft, Tourism, Smart home, and Automated driving) which are ongoing since last
fiscal year. (For details of the projects, see Reference Material #2.)

[Demonstration Image: Aircraft]• A flight plan, etc. in bad weathers, which is currently
implemented by pilots manually, conduct a demonstrationof the pilot support system to show a safe and optimalroute through AI technology and the real-time analysis offlight data.

Present an emergency
landing airfield and aflight route to copewith on-board medical
crises.

Present a safe
emergency landing
point in case of
unexpected fuselage
problems.

Present anappropriate flightroute to avoid
bad weather.

[Demonstration Image: Smart home]
・In the field of health promotion and monitory service forsenior citizens, etc., specify the services based on the datacollected from household electric appliances, etc., and also
arrange the requirements needed for data coordination
among multiple service providers, including (1) datacatalogue, (2) security/product safety, and (3) privacy.
Users
Serviceproviders (Datautilization)
Platform (Dataaggregation/
analysis)[Functions required for platform creators]
・Function as an information coordination infrastructure
・Creation of the environment in which multiple companies canconduct data analysis/coordination, etc.

Household electric
appliances, IoT devices,
Web service, etc.
(Provision of data)Local IoT Acceleration Lab

13

 In order to solve regional problems, select regional efforts to promote the creation of IoT
businesses as Local IoT Acceleration Lab. (93 regions as of September 2018)
 Through Information-technology Promotion Agency, Japan (IPA), support the activities of
the Lab by mentor dispatch and promotion of regional collaboration, and also back up
regional problem solving/creation of new businesses, etc. based on IoT.
System of Local IoT Acceleration Lab
XX Prefecture/City/Town IoT Acceleration Lab

Venture companies
in region

Schools/universities
in region

Permission to use
Logos
Sending mentors
Project supports
Service provision fromsponsors

Public institutein region

Demonstration

Core companies
in region(3 principles of Local IoT Acceleration Lab)

1. Regionality (regional uniqueness)

SupportVarious projects by various participants

Matching
Utility companies
in region/Venture companies Project(product development,in region
events etc.)

Selection Criteria

Selection

Investors/funds/
financial institute in region

Liaison office : local governments, local trade associations
etc.

Participation in IoT
Acceleration Lab
projects

Supervision

2. Enthusiasm and continuity of themunicipality (scenario forindependence, key persons)
3. Diversity and sense of unity(collaboration with various entities,
etc.)

Business
implementation

Local IoT Acceleration Lab portal site

93 selected
regions(Among them, 19 were selectedin the 4th selection.)

Main support measures for Local IoT Acceleration Lab
1. Granting of the right to use “Local IoT Acceleration Lab” markcertification mark2. PR to IoT Acceleration Lab members through e-mail magazine, Lab events, etc.
3. Dispatch of mentors who contribute to realizing/developing regional
projects/companies, etc.
*Also, examine support from cooperative companies and linkage with various subsidy
systems according to business progress.

Distribution Map of Local IoT Acceleration Lab Selected Regions, etc.
1st Selection: July 201629 regions selected
2nd Selection: March 2017 24 regions selected
3rd Selection: August 2017 21 regions selected
4th Selection: September 201819 regions selected93
selected regions*①-④ in the map represent the number of the selections.

Chugoku Region (6)-Tottori Pref.③-Shimane Pref.①-Okayama Pref.③-Setouchi City③-Hiroshima Pref.①-Yamaguchi Pref.②
Shikoku Region (5)-Tokushima Pref.④-Kamiyama-cho ④-Minami ③-Takamatsu City④-Kochi Pref.①
Kyushu Region (13)-Fukuoka Pref. ①-Kitakyushu City ①-Fukuoka City ①-Kahankei area ②-Saga Pref. ②-Nagasaki Pref. ②-Nagasaki City ②-Shimabara City ④-Minamishimabara City ③-Kumamoto Pref. ①-Oita Pref. ②-Miyazaki Pref. ②-Kagoshima Pref. ①

Kinki Region (14)-Fukui Pref. ①-Sabae City ②-Eiheiji ③-Shiga Pref. ②-Maibara City ④-Kyoto City. ①-Osaka Pref. ②-Osaka City ①-Yao City ④-Kobe City ①-Awaji City ③-Nara Pref. ①-Asukamura ③-Wakayama Pref. ①

Tohokui Region (10)-Aomori Pref. ④-Iwate Pref. ④-Takizawa City ④-Miyagi Pref. ①-Sendai City ②-Akita Pref. ④-Senboku City ②-Akita Horizontal
Collaboration ③-Yamagata Pref. ③-Aizuwakamatsu City ①

Okinawa Region (2)-Okinawa Pref.①-Okinawa City④

14

Selected regions:
39 prefectures and 54 municipalities(5 prefectures and 14 municipalities wereselected in the 4th Selection)

Chubu Region (14)-Toyama Pref. ①-Ishikawa Pref. ①-Kaga City ①-Kahoku City ③-Hakusan City ②-Nomi City ④-Gifu Pref. ①-Kagamihara City ③-Gujo City ③-Aichi Pref. ①-Nagoya City ②-Toyota City ②-Kota ③
-Mie Pref. ①

Hokkaido Region (10)-Sapporo City ①-Hakodate City ②-Muroran City ④-Kushiro City ①-Kitami City ④-Wakkanai City ④-Naganuma ④-Higashikawa ④-Sarufutsu ③-Shihoro ①
Kanto Region (19)
-Ibaraki Pref. ①-Tochigi Pref. ④-Gunma Pref. ③-Saitama Pref. ②-Chiba Pref. ②-Ota-ku ③-Kanagawa Pref. ②-Yokohama City ②-Sagamihara City ②-Yokosuka City ②-Shonan area ②-Niigata Pref. ②-Nagaoka City ③-Kashiwazaki City ④-Yamanashi Pref. ③-Ina City ①-Kawakami ③-Shizuoka Pref. ①-Fujieda City ③

Achievements of Local Acceleration Lab Support

15(1) Mentor Support
Mentor Dispatch Records
Total number as of the end of August 2018: 240 cases
・Mentors from outside (Provision of expert knowledge)
e.g.: Primary Industry IoT Project (Sarufutsumura (Hokkaido), Kochi Pref.), Monozukuri IoT Seminar(Osaka Pref.), IoT Hackathon (Minamishimabara), etc.
・Other efforts include advice of IPA regional staff on action policy, introduction of nationwide examples, etc.
*Mentor is an expert with technical knowledge such as IoT, who provides support for formulation of business strategies/plans, etc. tosolve regional needs. (University professors, the CEO of venture companies, etc.)(2) Horizontal Collaboration (inter-Labs) /Information Dispatch Support
Horizontal Collaboration (inter-Labs) and Business Matching Support Achievements
・ National meetings and Regional block meetings
Local IoT Acceleration Lab staff meetings: Held about twice a year
(February 2018)
In addition, staff meeting by regional block was held as needed incollaboration with the proper Bureau of Economy, Trade and Industries.
・ Thematic staff meeting (Meeting to promote cooperation of
Lab-related people by themes)
Exhibition at Smart
Agriculture IoT Staff
Agricultural field: December 11-12, 2017 (Yamanashi Pref.)Factory Japan 2018
Meeting in Yamanashi
Monozukuri (manufacturing) field: March 19, 2018 (Kota-cho, Aichi Pref.)Human resource development field: March 28-29, 2018 (Kaga City & Hakusan City,
Ishikawa Pref.)・ Exhibition at events“IoT Japan 2017, 2018” hosted by Nikkei Business Publications, Inc.
(Tokyo, Osaka, Nagoya, Sapporo, and Fukuoka)
CEATEC JAPAN 2017 (Makuhari Messe, October 2017): Joint exhibition by 27 regions
Smart Factory Japan 2018 (Tokyo Big Sight, May 2018): Joint exhibition by 19 regions Portal site (May 2018 renewal)
URL：https://local-iot-lab.ipa.go.jp/

Local IoT Acceleration Lab Advanced Cases (1)■Sapporo City,
Hokkaido

16

Sapporo Underground
Walkway (Chi-Ka-Ho)• The city developed “Sapporo Underground Walkway (Chi-Ka-Ho)” as a showcase to collect/accumulate/utilize real-time Big Data.
• Various enterprises, etc. deepened exchanges at the Local IoT Acceleration Lab (Sapporo city Lab), which led to the holding of aninternational convention (“No-maps”) combining Film, Music, and Interactive (IoT technologies, etc.) together that will heighten the
momentum toward Olympics and Paralympics, aiming for support for the inauguration of business/creation of new industries, andpromotion of investment in the region. The convention was first held at the center of Sapporo City in 2016. It has been broadening
and developing gradually.
■Film: Sapporo International Short Film Festival (SAPPORO Short Fest):
Over the past 10 years, 27,961 pieces from 147 countries/regions entered the event.
The visitors exceeded 110,000. The venue is provided with Short Film Market. This is one of thelargest-size short film festivals in Japan.
■Music: Music event merged with images and IT technology:
The event features a live concert covering various genres such as pops, rock and anime songs,
as well as a business seminar.
■Interactive: Event on innovation-inducing IT technology, etc.:
Taking advantage of the superiority of “Sapporo Valley.” a focal point for IT companies,
Hokkaido-specific food-related industries, and also accumulation of the bio industry, the event holds
seminars, workshops and exhibitions in a bid to create future-oriented business by gathering
advanced technology, services and human resources together in one place.

courtesy of “No Maps Committee”■ Maibara City, Shiga• The Lab examines the investment/launch of “AI Agri-industry
Accumulation Base” equipped with 100 units of “IoT Smart Green
House” as a test-bed of advanced agri-business.
• Centering on this base, proceed with creation/invitation of “newentrants to advanced agri-business with free use of AI/IoT
technology” and “Start-ups of technological development in theadvanced agri-business field.”• ・By regarding it as the basis of Maibara City’s regional policy, the Lab
aims to solve regional problems through inter-policy collaboration suchas food education and No-Fuku Renkei (support for the disabled throughpartnership between agriculture-related and welfare-related enterprises).
System image of Test-bed (source: YANMAR Co., Ltd. HP)

Local IoT Acceleration Lab Advanced Cases (2)17■ Aizuwakamatsu City, Fukushima• Taking advantage of the presence of the University of Aizu, a prestigious IT-dedicated university, the Lab aims forregional revitalization based on high quality employment that is realized by the accumulation of IT industry
whereby workers can earn income exceeding that of Tokyo.
• In order to turn the city into a mecca for data analysis/utilization as “Smart City Aizuwakamatsu,” the Lab is examining
the following:① Turn the streets of the city into a test-bed site, which enables enterprises to inspect the possibility of business use of thereleased data that is acquired from the sensors, etc. in the city (e.g.: public transportation vehicle traveling information).
② Establish the ICT office in which IT companies/IoT-related companies in and out of the region take up residence.

• Regarding the efforts of the city, Accenture Japan Ltd. has been taking the initiative incooperation working by setting up the local base (scheduled to be completed in March2019), predominantly supporting it. Aim to attract about 500 people from Tokyo andadjacent prefectures.
ICT office (conceptual drawing) *source: Aizuwakamatsu City HP■Okinawa City, Okinawa
・With START UP CAFE KOZA as a base, the Lab set up a one-stop inquiry
counter for those who seek to start an enterprise. Aim to build an ecosystemby producing a number of personnel and companies as a driving force ofregional economy as well as promoting inflow of human resources andcompanies into the city and stimulation of private investment.
・Examples of the efforts by START UP CAFE KOZA:① STARTUP CAFE KOZA：Inquiry counter to support those who seek to start anenterprise. Equipped with free coworking space② KOZA shore Studio: Coworking space for paying members. Programming school
available③ OKINAWA MIRAI FACTORY: FAB space (3D printer, laser cutter, etc.)
・Over the two years, about 200 budding programmers visited the CAFE. It has
achieved good results, including about 20,000 users per year and about 50 cases ofsuccessful establishment of a business. For the future, taking advantage of
geographical advantage as the center of Asia, the Lab aims to expand theefforts and cooperation in and out of Japan.

Efforts for International Cooperation18

 In September 2018, IoT Acceleration Consortium (ITAC) exchanged MoU with Skolkovo
Foundation in Russia.
 At CEATEC JAPAN 2017 in October 2017, with the aim of promoting business cooperation
between overseas and domestic companies, business matching, etc. was held between
start-ups in ASEAN, EU, India and Israel and domestic companies. Also this year, overseas
start-ups from 5 regions (the above plus Russia) are invited to CEATEC JAPAN 2018, wherematching events, etc. are scheduled.
✓ Outline of MoU signatoryorganization✓ Global Connection

Skolkovo Foundation

Details of Global Connection 2017

[Outline of the organization]
It is a management entity of the innovation centerestablished under the federal law of Russia, “OnInnovation Center Skolkovo,” enacted in 2010.
Forming the cluster in 5 fields (IT,biotechnology/medicine, energy, nuclear power,
and the universe), it has companies/universities,
etc. as members, who strategically implement
development of new technologies or research &development toward commercialization. Major
missions of the organization include: ①support forstart-up companies, new businesses, etc. in theinnovation center, ② construction of Skolkovo
Research Town, and ③establishment of educational
facilities.
[Aim of MoU (September 2018)]
For the purpose of creating cooperative RussoJapanese arrangements in the IoT field, promote
efforts such as sharing of good practices, etc. andprovision of business opportunities in both countries.

① Business Matching② Exhibition BoothA matching list of oversea/domestic
companies based on their seeds/needs
was prepared beforehand, leading to
25-minute individual matching.

40 overseas companies
set up exhibition booths.

58 domestic companies/
organizations participated.

257 matching organized.
③Pitching session
Lectures by the French Embassy in Japan,
venture capitals, etc.
40 overseas companies presented theirtechnologies through the pitch.

Future Action Policy of IoT Acceleration Lab

Goals and Missions of IoT Acceleration Lab

20

 In October 2015, with the aim of confronting the change of time under the cooperation of academy,industry and government through efforts such as the creation of new business models based on
IoT, etc., “Advanced Model Business Promotion WG (IoT Acceleration Lab)” was established under the
IoT Acceleration Consortium.
 The missions of IoT Acceleration Lab are:
①To create advanced projects and discover/develop IoT platform creators.
②To prepare the ground for social implementation of advanced projects with a focus on the regulatory
reform.

IoT Acceleration Consortium

Details of Support
Financial Support

Regulatory
support

Corporate
collaboration support

IoT Lab Selection
Smart IoT
Acceleration Forum(Technology
Development WG)

IoT
Acceleration
Lab(Advanced Model
Business Promotion WG )IoT Security WG
Data Flow
Promotion WG
International
Cooperation WG

IoT Support
Committee•

Provide advice on the IoT Acceleration Lab
management and IoT projects implemented by IoT
Acceleration Lab, as well as administrative
recommendations on regulations and systems,
etc.

(IoT Project Selection Meeting)→ Support for short-term outstanding
projects by individual companies(Business matching)

IoT Lab Demonstration(Test-bed Demonstration)

IoT LabConnection→ Support for mid and long-term thematic
projects by multiple companies
IoT Lab Connection (Business matching)→ Organization ofmatching event forcompanies/researchorganizations/municipalities, etc.

Global Connection

Local IoT Acceleration Lab→ Promotion of cooperation withoverseas companies→ Selection of regional efforts as“Local IoT Acceleration Lab”

Past efforts of IoT Lab Selection21

 Implemented IoT Lab Selection five times in a bid to discover and help commercialize advanced projects
based on IoT, etc. Selected and supported 49 projects, and also shared information of the projects
as advanced cases both at home and abroad.
 From among the selected advanced projects, selected 4 companies as J-Startups, to which an
intensive public-private support is provided with the aim of creating startups that can succeed in the
global competition.
✓ The projects of prize winners of the past IoT Lab Selections are introduced at the specially-built stage in CEATEC due in
October 2018 (example of introduction of advanced cases)

CEATEC JAPAN2018[October 18]➢ 4 th Selection
Grand Prize➢ 4 th Selection
Finalist➢ 5 th Selection
Grand Prize

O:Co., Ltd.
Arblet Inc.
BONX Inc.

[October 19]➢ 5 th Selection Finalist

KONICA MINOLTA, INC.
Business Innovation Center
Japan (BIC JAPAN)➢ 5 th Selection Special JuryPrize
➢ 5 th Selection Finalist

Chiba University Graduate
School of Engineering
Stream Technology
Corporation

ABEJA Inc.

O: Co., Ltd.

✓ J-Startup selected companies
Liquid Marketing, Inc.

Routrek Networks, Inc.
(1st Selection Second Prize)(2nd Selection Finalist)

Developed a biometricauthentication system that canidentify an individual quickly
only by their fingerprint.

Developed a system that
automatically controls water
sprinkling and fertilizing in thehydroponic soil culture method
under the cooperation between
industry and academia.

Developed an AI data analysis
platform usable in various
industries that promote the IoT.

(1st Selection Grand Prize)(4th Selection Grand Prize)
Developed a watch-style device(non-invasive, the world’s first)
that can visualize a body clock.

Past Efforts of IoT Lab Demonstration22

 In order to prepare the ground for the business environment to share /utilize data beyond
the framework of companies, etc., implemented the demonstration of a data -based newindustry models by an individual industrial field, and also supported the demonstration
projects to work on rule establishment such as the review of the regulations dealing withnew technologies such as IoT and formulation of rules including the unified data format.
 Thus far, demonstration projects were implemented in 11 fields such as manufacturing
and industrial safety.
 For example, the manufacturing field implemented the demonstration of data profile
formulation toward international standardization over the two years from FY 2016 to FY
2017.
 Created 18 cases of advanced data sharing examples , which will be utilized in future
discussion on international standardization, etc .

[Active participation ininternational discussion]

International
proposals
Discussion/refinement of the shared results
based on a domestic deliberation organization(RRI), while utilizing international
standardization support measures.

Sharing of
the results

Smart factory demonstration
project(formulation of data profile, etc.)[Efforts in the Test-bed Demonstration]
・To realize the efforts for data coordination beyond the supply chain companies,
create advanced examples (18 cases), working on spreading the results to thewhole nation by sharing them among industry groups, etc.
・Above all, promote examination of “Data profile” (Rulemaking for data description
methods (definition of terms, descriptive grammar, etc.) differing depending on
companies, factories, etc. in a bid to promote data circulation) which is thought toHeader, Resource ID
be essential to create mechanisms of data coordination.
information, Timestamp,
Relation ID information[Data profile](definition of terms, descriptive grammar, security requirements, etc.)

Solution/application

Common factor(security, etc.)

Who,by which machine,with which material

Resource (machine, man,material), resource
specification, spec function

IT infrastructure/software

Conversion rule (API, etc)

Body

What is done, under whatkind of instruction

Cooperation

Process, operating
condition, state
management method, etc.

Analysis function/ Compet
ition
data handlingwhat kind of results werebrought

Conversion rule (term, grammar)
Manufacturing site/hardware

Cooperation

Transaction, executive
operation result data
ｗhat kind of security
should be done

Security, signature,
cipher system

Past efforts of IoT Lab Connection

23

 Held matching event seven times as a place where enterprises aiming to create new business models
meet with other enterprises with related business models, technologies and services, leading to about
3,400 matching. The latest event was attended by major companies, small and mid-sized companies,
and startups at a ratio of almost 1:1:1. Other participants included many municipalities, thus promoting
networking beyond the industry/types of business. Many of the participants are still keeping in touchwith each other through information exchange, etc., with or without collaborative partnership.
 Not limited to formation of collaborative partnership between enterprises, there existed examples inwhich multiple participants such as telecommunications enterprises, monozukuri companies andmunicipalities cooperated beyond the industry/types of business through the efforts launched by theevent participant enterprises, etc. Some of them, as the efforts of IoT/AI diffusion or local industry
technology succession in the region, led to the creation of a Local IoT Acceleration Lab.

✓ Business Matching Event✓ Kashiwazaki City IoT Acceleration Lab

Through the seven-time events, all kinds of industrial fields(“manufacturing,” “healthcare,” “agriculture,” “education”, etc.)
were taken up as a theme. Some events were held under more
specific themes such as “work style reform” and “sharing
economy.” Based on the partnership with ministries/agencies andprivate organizations related the themes, promoted networking
among various companies/organizations beyond the industry/typesof business.

With Niigata Institute of Technology as the core, municipalities,
manufacturing companies, telecommunications enterprises,
financial institutions and commerce & industry organizations work
together to realize technology succession and development/
securing of IT personnel in the monozukuri (manufacturing)industry through efforts such as support for IoT/AI technology
introduction into the related companies. (1st IoT Lab Connection
participants involved.)

Smart Factory City in KashiwazakiSocial change after the foundation of IoT Acceleration Lab and thecurrent situation①24

 After the foundation of IoT Acceleration Lab, domestic companies have increased awareness of
IoT/AI/Big Data, leading to the increased number of introduction cases. Meanwhile, the framework ofventure support based on IoT, etc. in the private sector has also improved.
 The preparatory work for the IoT use and application has also advanced, including the formulation/
announcement of the IoT Security Guidelines, the Contract Guidance on Utilization of AI and
Data, etc. by IoT Acceleration Consortium and the government.

✓ Framework of venture support based on IoT, etc in the private sector
 Expansion of the efforts of startup support by the private sector (funds,
awarding, matching)➢ Not limited to VC, IT companies, companies as a whole have been enhancing the startup
support system (entry from a wide range of fields such as Mitsui Fudosan Co., Ltd., .LIXIL
Corporation and Yokohama DeNA BayStars).
➢ Matching event like “Innovation Leaders Summit” or business contests aiming formatching with large companies are also on the increase.(Real Tech Fund, Ninesigma, etc.) Revised to the “Contract

 Improvement of the IoT-related project support system➢ technology platform such as Microsoft Azure IoT➢ support environment by industry, government and academia such as Fab Lab andtest facilities✓ Contract Guidance on Utilization of AI and Data (June 2018)
Amid an explosive increase of data induced by technologicalinnovation such as IoT and AI, it is expected to create new added
values or solve social problems through data coordination beyond thebarriers between enterprises. However, as for data/AI technology,
there is a problem that conclusion of contract is not easy due to thepoor accumulation of contract business, the gap ofrecognition/understanding between the parties, etc.
Thus, as a reference for private enterprises, etc. to conclude
contract on data utilization, etc. or contract on AI technology-based
software development/utilization, the government worked out aguideline that includes major contractual challenges and arguing
points, examples of contractual clauses, considerations in
preparing clauses, etc.

Guidance on Utilization of
AI and Data” (June 2018)

Addition「“AI development” contract

Thorough explanation oftechnologicalcharacteristics/development
formula of AI“AI utilization” contract
Expansion“Data sharing type” contract
Type in which data is shared by
platform

Enactment of the“Contract Guidelines
on Data Utilization
Rights Ver.1.0” (May2017)

“Data provision type” contract
Type in which data possessedby one party is provided tothe other party“Data creation type” contract
Type that starts with theacquisition of new data

Social change after the foundation of IoT Acceleration Lab and thecurrent situation②25

 The government has proceeded with the efforts toward the realization of “Connected Industries”
in the light of the technological innovation brought about by the Fourth Industrial Revolution. Establishedthe framework that supports challenges to new businesses such as the creation of the “Regulatory
Sandbox” System to facilitate early-stage social implementation of new technologies/businesses, andtax reduction for IoT investment toward data sharing/coordination.
 Launched the public-private intensive support program “J-Startup” for the purpose of providing newvalues to the world with innovative technologies and business models by producing startups that can
succeed in the global competition.
✓ Creation of the “Regulatory Sandbox ” System✓ Launch of the “J-Startup” program○ About the demonstration projects on innovative technology andbusiness models, the competent minister gives approval after
hearing the opinions of the Innovative Technology/ Businessmodel Evaluation Committee for Regulatory Sandbox in Japan.
○ Prepare the ground for the environment in which
demonstration is conducted free from existing regulations
by restricting participants, the implementation period, etc.
* Exceptional regulatory measures are taken as needed.

○ Select as “J-Startups” the companies chosen by a strict
examination from among tops startups recommended by
top venture capitalists, accelerators, etc.
○ Provide intensive support to J-Startup companies’ efforts
including overseas development under the cooperation
between the public and private sectors.

Prime minister*Formulation of basic policies

Application of
the projects

Approval(for thebusiness+
for theregulation)

Matching
supportInvitation ofoverseas
resources

Enhancement ofcompetitivenessCorporate valuie

Competent Hearing of opinions
ministers

Appointment

Evaluationcommittee

Enterprises

Recommendation
via prime minister

FinancialsupportInauguration
preparation stage

Accelerating
growth speed!

Inaugual
stage

Growthstage

Support foroverseasdevelopment

Future Action Policy of IoT Acceleration Lab

26

 IoT Acceleration Lab implemented public-private support in a visible way during the starting-up
period of IoT/AI/Big Data-related projects. By backing up the companies’ efforts, it accomplished mostof its initial missions such as creation of IoT-based advanced projects and preliminary arrangements
toward the social implementation of the projects.
 As the public-private efforts toward the social implementation of IoT/AI make progress, in order torealize further spread of IoT/AI use and application, how about developing/reorganizing IoT Acceleration
Lab efforts from two perspectives (global/local) as follows?
➢ Global: Creation of Unicorn companies, etc. that expand into/challenge the world by gaining amarket (implemented by J-Startup)➢ Local: Creation of IoT-based projects in the familiar region (implemented by Local IoT AccelerationLab) Based on the above, examine the review of the activities/system of IoT Acceleration Lab.

[Present]
IoT Acceleration Lab[Outline]
Confront the change of time under thecooperation between academy, industry
and government through efforts such as
the promotion of the creation of new
business models based on IoT, etc.

Efforts toward the realizationof the “Connected Industries”[Outline]
Public-private efforts to realize conditions
for the victory of Japan in the global
competition over real data toward therealization of “Society 5.0”

[Future]J-Startup[Outline]
With the aim of creating startups that can
succeed in the global competition,
produce successful models through intensive
public-private support for the companies
selected as promising startups.

Local IoT Acceleration Lab[Outline]
With the aim of backing up IoT-based
solution of regional problems/creation of
new businesses, etc., select/support
regional efforts to promote the creation of
IoT businesses.

Reference Material #1

IoT Acceleration Lab
5th Selection Meeting for Innovative IoT Projects

IoT Lab Selection

List of Supported Projects

- Contents 5th Meeting Finalists① [Grand Prize] BONX Inc.
- Accelerating Communication On-the-Spot BONX for Business - ・・・・・・・・・・・・・・・・・・・・・・・ ２② [Second Prize] Optical Comb, Inc.
- Mounting machine learning to automobile production lines for realizing Industrie 4.0 - ・・ 3

③ [Special Jury Prize] Team Tomo Cloud (Takei Laboratory, Chiba University)- LT Monitoring (Lymphedema Tomography) Relieving Pain in Patients by Early Discovery - 4④ TagFIT Association- Regional Revitalization by QR Code (Born in Oita Prefecture) - ・・・・・・・・・・・・・・・・・・・・・・・・・

5⑤ Stream Technology- Development of High Performance Data Compression LSI for IoT Equipment - ・・・・・・・・・・ 6⑥ Konica Minolta, Inc. Business Innovation Center Japan- Non-destructive inspection solutions for visualizing internal steel fracturesin bridge beams by magnetic sensing and AI - ・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・ 7⑦ Liberaware Co., Ltd.

- Swarm of Drones Project : Development of Drones with Group Control Technology - ・・・

8

1

BONX Inc.

Grand Prize- Accelerating Communication On-the-Spot BONX for Business Outline of Project
Develop cloud-based group communication solution “BONX for BUSINESS” by Voice over Internet Protocol (VoIP)
using the Internet line of smartphones. Realize simultaneous conversation of up to 30 persons, limitless distance
between conversation parties, and elimination of cross-talk not possible with general transceivers (with headsets).
In this project, functions will further be expanded by the development of optimum dialogue interfaces for businessscenes using voice aiming at the defacto standardization of voice communication system.

Outline of Required SupportFinancial support (Public support, funds, etc. fortechnological development, etc.)
Accompanying-style support such as guidance and advice
by mentors

Future Vision
Provide software and hardware for business scenes requiring group communication (e.g.: work site(constructions, logistics, etc.), offices (call centers, work from home, overseas collaborations, etc.),
and establish leadership in the field of group communication.

Optical Comb, Inc.

Second Prize- Mounting machine learning to automobile production lines for realizing Industrie 4.0 -Outline of Project
The use of optical comb laser has realized the automation of the inspection process for determining casting
defects of automobile cast parts, which used to be carried out by visual inspection until now. This project
aims to develop software capable of recommending improvement of judgment criteria used in thisinspection process, by cloud-storing large volumes of 3D data on measurement results gathered in theinspection process, and implementing machine learning. This will realize Japan’s first specific cutting edge
case of Industrie 4.0 tailored to the manufacturing scene.

Outline of Required SupportImage of measurement results in automobile area

Financial support (Support/funds for technologicaldevelopment/implementation)
Accompanying-style support such as guidance and advice
by mentors
Support for standardization/rulemaking, etc. (Establishingrules, etc. on data ownership and usage）

Future Vision
By introducing machine algorithms to automatic evaluation and acquiring various KPIs, realize
automatic measurement and evaluation, and ROI evaluation of judgment criteria revisions.
Through integration of other sensing data and building analysis platform, apply to areas other thanautomobiles such as metalworking and parts.

Team Tomo CloudSpecial Jury Prize(Takei Laboratory, Chiba University)- LT Monitoring (Lymphedema Tomography) Relieving Pain in Patients by Early Discovery -Outline of Project
Called an “aftereffect that has been deserted”, lymphedema occurs in 30% of patients who have undergone surgery
for gynecologic cancer. If discovered late, it cannot be completely cured, and the risks of onset continue throughout
the patient’s life, causing psychological stress to patients with gynecologic cancer. Team Tomo Cloud has developed
a technique which can visually measure substances thought to cause lymphedema and their causal relationship.
This project aims to evolve this technique, develop software capable of diagnosing the lymphedema stage andpredicting progress by AI, and implementing clinical tests, to put to practical application early detection diagnosis
based on AI with the use of IoT lymphedema tomographic monitors (LT monitor) which can be used at home.

Outline of Required SupportFinancial support (Public funds/funds for technologicaldevelopment/business startup)
Accompanying-style support such as guidance and advice
by mentors

Future Vision
Achieve 100% accuracy in stage diagnosis on this system for lymphedema which is called an“aftereffect that has been deserted”. Until now, the stage could only be diagnosed by theconventional ICG fluorescence method and cellular biochemical tests. Dominate the lymphedema
monitor market in Japan and expand overseas.

TagFIT Association- Regional Revitalization by QR Code (Born in Oita Prefecture) Outline of ProjectThis project aims at regional revitalization by overcoming “language barriers” between tourists to Japan and local
businesses. This is done by issuing QR codes to the various information on tourist sites in Japanese (free ofcharge), and having tourists scan the information on their smartphones, etc. for translation into their native
language (free of charge). By leaving the task of multi-language translation to vendors, high quality translation
can be realized at low costs, and rapid technological innovation such as AI and neural machine translation (NMT)
can be supported. By building this infrastructure in places which used to be difficult to access by tourists fromabroad, more tourist attractions can be developed.

Outline of Required SupportFinancial support (SIB for accelerating spread of QR
codes)
Accompanying-style support such as guidance and advice
by mentors
Support for standardization/rulemaking, etc.
(dissemination and awareness rising, etc. of QR codes）(2)Uploads the photo.
(1)The business seeking
translation takes photos of theJapanese using a special apps.

(3) A QR code is issued immediately.
(Free of charge)

Future Vision
A multi-language translation infrastructure will be widened to the whole of Japan starting from
Oita Prefecture by the 2019 Rugby World Cup, and the 2020 Tokyo Olympic Games, realizing a
new social infrastructure allowing use of the latest technology at low costs as a result ofcooperation between non-profit and profit organizations

Stream Technology- Development of High Performance Data Compression LSI for IoT Equipment Outline of Project
The increase in the volume of communications data handled by IoT devices is leading to the need to send volumedata using small number of packets, receive volume data, and execute processing at high speed. This projects aims
to use the new compression method, stream data compression technology, to mount modules capable of losslesscompression of any data on LSIs and realize compact size and reduce power consumption. Through this, data
voltage handled by edge devices can be reduced, and new solutions for reducing data communication volume until
fogs and clouds can be provided.

Outline of Required SupportFinancial support (Public support, etc. for technologicaldevelopment/mass production)
Accompanying-style support such as guidance and advice
by mentors
Support related to verification, standardization ofregulations (Verification of Foreign Exchange Laws,
simplification of technical license,
etc.)
求める支援概要For IoT equipment (edge)

For fog/cloud

Board for compression
technology trial production

Compression acceleration board

Mounts Xilinx Artix7 200T

Mounts Xilinx Kintex-7

Future Vision
Form “Data Compression Consortium "in the aim to standardize technologies towards an era
where stream data compression modules will connect seamlessly.

Konica Minolta, Inc.
Business Innovation Center Japan- Non-destructive inspection solutions for visualizing internal steel fractures in bridge beams bymagnetic sensing and AI -Outline of Project
The aging of social infrastructures such as roads and bridges is a problem. Of these, concrete structures have therisks of collapsing when a certain number of internal steel materials fracture. For this reason, internal steel
fractures that cannot be detected easily by visual inspection are gradually being recognized as hidden social
problems. By applying technology based on “special magnets”, “3-axis magnetic sensors”, and “data analysis”, thisproject aims to develop a device which can visualize the state of internal steel materials in concrete structures up
to depths that could not be detected until now, and detect internal steel fractures, to contribute to the maintenanceand management of safe and reliable social infrastructures.

Outline of Required SupportFinancial support (Public support for technologicaldevelopment, etc.)
Accompanying-style support such as guidance and advice
by mentors
Support for standardization/rulemaking, etc.
(Reassessment of legal inspection of roads and railway
bridges, etc.)

Future Vision
The aging of infrastructures is a globally common problem. There exist extensive needs for the detection of internal
steel fractures. Focusing on diverse markets, steel fracture detection based on AI which does not require expertise
will be developed, practical application will be enhanced by making the developed device compact, and steel
fracture detection ability will be enhanced at deep areas, and these technologies will be disseminated widely toresolve social problems.

Liberaware Co., Ltd.
- Swarm of Drones Project : Development of Drones with Group Control Technology -Outline of Project
Liberaware has been developing group control technology of robots moving on ground. In this project, thistechnology will be evolved in the aim to develop drones capable of forming groups and autonomous flight throughthe information processing of the respective drones. Since multiple drones will be able to fly autonomously, form
groups, and carry out complicated tasks, it will help enhance the work efficiency and workload of the inspection of
infrastructures, etc. using drones, and contribute to the maintenance of social infrastructures and insufficient labor
force. Aiming to put this technology into practical application by the Tokyo Olympic Games in 2020, thedevelopment and verification experiments, etc. of the drone group control technology will be carried out.

Outline of Required SupportFinancial support

Accompanying-style support such as guidance and advice
by mentors



Deregulation

Future Vision
Operation by multiple drones flying autonomously is expected in indoor infrastructure where thespace is narrow but the inspection area is wide (e.g. work in service tunnels, warehouses, anddisaster areas). Drone market scale: Approx. 100 billion yen in 2030.

Reference Material #2

IoT Lab Demonstration(IoT-related Demonstration Budgets)

FY 2018 Implementation
Summary by Themes

- Contents 1. New Industry Model Creation Base Development Project for Promoting IoT(Shift of budget amount) FY2015 Supplementary: 1.12 Billion yen
FY2016 Initial: 2.04 Billion yen / Supplementary: 1.1 Billion yen
FY2017 Initial: 2.34 Billion yen / Supplementary: 0.3 Billion yen
FY2018 Budget: 2.54 Billion yen① [Infrastructure (Water Utility)]・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・ 2② [Industrial Safety]・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・ 3③ [Aircraft]・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・ 4④ [Smart Home]・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・ 5⑤ [Tourism]・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・ 6⑥ [Infrastructure (Thermal Power Generation)]・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・ 7⑦ [Infrastructure (Hydroelectric Power Generation)]・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・ 8⑧ [Distribution (IC Tags)]・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・ 9⑨ [Distribution (Trade Procedures)]・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・10

2. R&D/Demonstration Project for Social Implementation of Advanced AutomatedDriving System(Shift of budget amount)

FY2016 Initial 1.88 Billion yen
FY2017 Initial 2.60 Billion yen
FY2018 Budget 3.50 Billion yen⑩ [Mobility]・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・ 11

1

① [Infrastructure (Waterworks)] Social Infrastructure Advancement Promotion Project(Application of IoT for Water Utility) The efficient and sustainable business operations in the field of social infrastructure is a major social issue.
Amidst the dwindling population, declining birthrate and aging population, social infrastructure businesses are facing thedecrease of return on investment following deterioration/glut/decrease in demand of facilities.
 As for such a social infrastructure field, carry out standardization for introducing IoT into a series of business processes(facilities management, operational management), aiming for management streamlining through the use of IoT. Thus,
enhance the efficiency of routine operations as well as realize optimum asset maintenance management, etc.
 Aiming to applying IoT mechanisms to water utility, this project aims to draw up standard specifications related todata distribution, and verify the effectiveness of introducing IoT in actual waterworks based on these specifications.

[Standardization of data distribution][Example of enhancing efficiency using IoT]

Improve the environment of data usage by establishing the rulesof data circulation between applications and field equipment, etc.,(devices or systems). As a result, realize an environment which
does not rely on specific vendors (=resolve vendor lock-in).

Operate facilities effectively by conducting update control,
operation monitoring and remote control through thecentralization of installation information and operation
information, etc. of multiple facilities located in a wide area.

[Establishment of rules based onstandard specifications]
Business entity using
company C specifications

Company A
application

Company B
application

Company C
application

Company A

Company B

Company C

Controller Sensor

Controller Sensor

Controller Sensor

Water purification
facility 1

Water purification
facility 2

Water purification
facility 3

Application

Business entity using
company B specifications

On-site equipment

Business entity using
company A specifications

Company A physicalconnection specifications

On-site equipment

Application[Current situation]

Applications and on-site equipment are vertically connected- Society weak against changes -Integration/
abolition
application
Company A

Integration/
abolition
application
Company B

Company A

Company B

アプリケーション

Monitor/water
・監視・水質モニタ
qualitymonitorIoT platform
IoTプラットホーム

Integration/
abolition
application
Company C

Data distribution rules
Establishment of rules on data specifications andsecurity standards

Wide
広域arearegister related
台帳関係ｼｽﾃﾑ
systemWide
広域 areaapplication

Wide area
広域センター
centerentity B C事業体
Business entity
C Business entity D
D事業体
A事業体
B事業体
Business
entity A Business（小規模事業体）(Small scale business entity)(Small scale business entity)(Middlesized) （小規模事業体）
(Core
city)
(中核都市）（中規模）
Centralmonitoring
a中央監視室room aCentralmonitoringb中央監視室room b

Water distribution
control・配水制御

Water distribution
control
・配水制御

Central monitoring
Central monitoringc中央監視室d中央監視室room croom dCompany C
SystemSensorSensor ControllerSensor
Controller
Controller
Water purificationWater purification Water purification
facility 3
facility 2
facility 1

Not affected by connection/disconnection of
applications and on-site equipment- Society resistant to changes -Comprehensive outsourcing
監視業務包括委託of monitoring
work
Government
a庁舎office a

Governmentb庁舎 office b

Government office dGovernmentc庁舎 office cd庁舎

2

② [Industrial Safety] Independent Safety Measures Advancement Project(Oil refinery, chemical plant, etc.)
 In the fields of industrial safety (Oil refinery, Chemical plant, etc.), implement a demonstration of themechanism for early detection of abnormalities. based on the analysis of the real-time operation data
(temperature/pressure/ the amount of flowing, etc.) acquired continuously through sensors, etc.
 Draw up guidelines and manuals to promote data sharing and use between companies and implement
cyber security measures.
 Promote the implementation of IoT, etc. linked to the new regulatory system for the High Pressure Gas
Safety Act (Super Certified Operator System)[Case examples of demonstration][Compilation of guidelines and manuals]

1. Constant monitor operation condition (Early
detection of abnormalities/warning signs)

To resolve data sharing issues, compile “guidelines onagreements on use of data industrial safety version”
specially for plant data.

As the use of IoT equipment progresses, compile “IoT
response manuall industrial safety version” to deal withcyber attack.

•
Old

•

Alarm indicating“abnormalities’
Longer detectiontime→ Larger impact on
production
Steadystate

Upper-limit alarm

Warning
signs

•
New

•

Alarm indicating“different from usual’state
Shorter detection time
→ Smaller impact on
production

Promotedata
sharingand useamongstcompanies[Regulatory system realizing advanced
independent safety measures]

State management index
Early detection
Lower-limit alarm

Super Certified Business
Operators

Time elapse

2. Establishment of a piping corrosion prediction
model, etc.
Establish a prediction model, etc. that enables early
detection of abnormalities of facilities/equipment bycollecting and analyzing data on internal piping
corrosion at oil refineries, etc./external corrosion underheat insulators at chemical plants.

Organicallylinkdemonstration andregulatory
systemCertification requirements (added)• Use of IoT, big data, etc.
• Implementation of advanced risk
assessment• Evaluation of safety assurance
ability by third parties, etc.

Certified Business Operators
Business Operators

Regulatory incentives
according to safety
capability
・ Approval of new
inspection methods
・ Reduction of thefrequency of inspections
leading to long continuous
operations
・ Encouragement of“notification” of minorchanges in facilities, etc.

3

③ [Aircraft] Aviation System Advancement Project for Supporting Piloting, etc.


Global air transportation demand is expected to increase at an annual rate of about 5% in years to come.
While the number of pilots required globally is predicted to double in 2030, the number of shortage is expected
to amount to as many as 8,000 per year, raising concerns for the shortage of skilled pilots.
Based on the use of accumulated flight data, etc. and AI technologies, conduct a demonstration for therealization of advanced, safe aviation systems, including pilot support system for changes of a flight planin bad weathers, which is currently dealt with by pilots manually.
In 2018, will develop a prediction model related to 2018, and simulate/evaluate using airlines.

Value chain of transportation<To date> Each airline uses data individually.
Air traffic
control data

Meteorologicaldata

Aircraftmanufacturing

Flight data

FlightPiloting basedon pilots’
experience

Aircraftmanufacturing- Meteorological data
- Air traffic control data
- Flight data

FlightTransportation
service• Safety• Low fuelconsumption• Comfort

Transmission to
the following
aircraft

Own aircraft/surrounding
situation

Weather condition

Precedingaircraft/surrounding
situation

in bad weather/air turbulence/emergency situation<Future> Best route choice(Safety・Comfort・Low fuel consumption)

AI analysis basedon accumulated
data• Safety• Low fuelconsumption• Comfort

Shortage of pilots

Air traffic congestion

Air traffic control situation(including other aircrafts)

Transportation
service

Aircraft that can choose the best route basedon the synthetic analysis of meteorological/
air traffic control/flight data

→ Aircraft substitutes a part of added value of pilots.

4④ [Smart home] Smart Life Demonstration Project Inside the home, everyday information can be accumulated using diverse equipment such as home appliances,
wearables, sensors, etc. There is also countless everyday related information such as data owned by service
providers such as servicing companies, retailers, etc., data owned by administrative offices, websites, etc.

 By linking these information, advancement of services meeting consumer needs can be expected, andsocial issues (reduction of housework load and measures for silver population with declining birthrate) can be
resolved, and quality of living improved.
 In 2018, will summarize the requirements of data linkage between business entities through the healthimprovement and monitoring service of elderly persons (① data profile, ② security/product safety, ③privacy and data usage rules).

Establish a consortium made up of a wide range of players such as equipment manufacturing platform providers, service providers,etc., gather life data (room temperature, movements, vitals, etc.) of consumers from home appliances and sensors, etc., andcreate services using the concerned data.
[Requirements of data linkage amongst
business entities][Overall image of services using life data]① Securing data quality

Users• Review verification of effectiveness of datacatalogues, etc. to promote use of life data of service
providers.

② Security/Product safety

Service Providers(Data usage)

Platform(Datacollection/
analysis)[Functions sought from platformers]*Information linkage infrastructure function*Construction of environment where data analysis andcoordination can be carried out by multiple companies, etc.
IoT home appliancesHome appliances,
IoT devices,
Web services, etc.
(data provision)

IoT devices

Services

Information• Evaluate risks based on security/product safetymeasures and guidelines, clarify who protects what, andclarify responsibility boundaries between business
entities.

③ Privacy data
• Establish the template of consent forms for privacy data
based on the assumption that the privacy data is usedby multiple business entities.
• Summarize conditions for appropriately managing
privacy data.

④ Requirements of Smartlife market• Summarize requirements of Smartlife field based on
discussions on data agreement guidelines.

5⑤ [Tourism] IoT-based Omotenashi (Hospitality) Demonstration Project Based on the consent of foreigners visiting Japan, establish an infrastructure (Omotenashi
Platform) which allows business entities to share data on attributes (gender, age group, nationality,etc.) and history of actions (accommodations, shopping, transportation, etc.), gather data on foreign
visitors to Japan through diverse services, and carry out service demonstrations using the data.
 In 2018, will carry out demonstrations in four regions in Japan, accumulate all the data acquired inthese regions in the (Omotenashi Platform), and realize information linkage in multiple regions.
[Image of Demonstration Project] Information linkage rule

Omotenashi Platform
User information (Dataaccumulation/management)

Privacy policy/terms of use

Dataaggregation/analysis

 Data profile

Data
infrastructure

Establishment ofInfrastructure for Multilayer
Interoperability/connection
method of “Omotenashi
Platform”

・・・

Regional
demonstration

Information linkage of attributeinformation/history of actions, etc.

（Local platform）

Kyoto Demonstration
Kyoto
Kyoto City

Sanin Demonstration
Shimane Prefecture（Matsue City, Yasugi City, Izumo City,
Ota City）

Information registration
Sightseeing
Dining

Shopping
Accommodations

Foreign visitors to Japan

Tottori Prefecture（Yonago City, Sakaiminato City,
Oyamacho, Kurayoshi City, Tottori
City）

Information registration
Sightseeing
Dining

Shopping
Accommodations

Foreign visitors to Japan

Kyushu Demonstration

Wide Area Demonstration

Kumamoto Prefecture
Nagasaki Prefecture
Oita Prefecture
Fukuoka Prefecture
Miyazaki Prefecture

Information registration
Sightseeing
Dining

Shopping
Accommodations

Foreign visitors to Japan

Major cities (Asakusa, Ginza, Shibuya,
Hakata, Tenshin)
Onsen areas（Matsushima, Hakone,
Yugawara, Kusatsu,Minakami, Yunoyama,
Shirosaki, Dogo, Kurokawa)
Resorts, remote islands（Ski, pro sports,
Amami Oshima）
Local shopping streets (Matsuyama, etc.）
Wide area cooperation（Kanagawa,
Iseshima, etc.)

Information registration
Sightseeing
Dining

Shopping
Accommodations

Foreign visitors to Japan6

⑥ [Infrastructure (Thermal Power Generation)]
Development of Social Infrastructure Operation System Enabling Sophisticated Data Use
Power Industry (Thermal Power Generation) The further use of IoT and AI technologies offer great possibilities to ultra-high efficiency operationsof power plants. (maximization of thermal efficiency).
 Based on the operation data and knowledge of power companies, tie up and collaborate with IT
companies with analysis technologies and AI technologies, etc., to further develop algorithms realizing
highly efficient operations. In addition, compile guidelines for supporting industrial cooperation.
Implementation system

1. Improvement ofthermal efficiency①

2. Improvement ofthermal efficiency②

3. Boiler combustion
optimization control➢Real-time optimum control
of injected air/fuel ratio
while restricting Nox and CO
values, etc.

➢ Improve thermal efficiency
by the optimum control ofboiler combustion andstove low operations(removal of soot and dust)➢Achieve optimum operations at all
times by identifying the minimum
operational parameters of Nox andSox values at real time, taking into
account external changes.

Removal of sulfur oxide

Removal of nitric oxideHighchimney

Flue gas denitrizer
Electric dust
collection equipment

Operation data
Operation know-how

Prevention of noise

Removal of dust

Greening

Power company

BoilerFlue gas denitrizer
General water
treatment
Coal millsystemBelt conveyor
Steam turbineRawmaterials

Power generator

Condenser

Transformer
Opening/closing
device４. Improvement ofdenitration efficiency

５. Reduction of power used by optimum
control of auxiliary machinery➢Optimize the injected NH3 amountbased on fuel properties and realtime power generation state.

➢Realize reduction of power consumption of auxiliarymachinery by the optimum control of mills according to
the carbon properties and operation mode.

IT company
Algorithm
Application development
AI technology

Manufacturer
Equipment production
Malfunction analysis

 Overcoming the barriers between operatorsand manufacturers, statistics models and IT
that operators lack will be complemented
through alliance with AI vendors.
 Based on the knowledge obtained in thisproject, guidelines on the modeling of skills
by machine learning will be compiled.

7⑦ [Infrastructure (Hydroelectric Power Generation)]
Development of Social Infrastructure Operation System Enabling Sophisticated Data Use
Power Industry (Water Power Generation)
 Using AI, big data and IoT, enhance inflow amount prediction by the real-time measurement/prediction of
rainwater and snow-melted water flowing into dams, and promote the increase in power generated byusing some of the flood control capacity.
 Tie up with the Ministry of Land, Infrastructure, Transport and Tourism, overseeing multi-purpose dams
for flood control, and review the identification of required data and standardization and systemconstruction efforts to enable application to dams all over the country, leading to the reassessment ofoperations.
 Enhance inflow amount prediction even at dams for power generation owned by power wholesalers, andpromote the increase in power generated by optimizing operations.

[Demonstration project]

Optimization ofeffective difference.

April

March

Maximization of power generated asa water system in general.

 Power generation at dams managed
by power wholesaler also affects
power generation at downstream
dams of the same water system.
Increase ingeneration amountFlowmeasurement

Increase ingeneration amount

1. SnowsurveyEfforts of power generation dam
Increase ingeneration amount

Wetherforecast

Water level

2. Snow melt
runoffAnnual ?operational
water level curve In order to maximize the power
generated at several power plants, theconstruction of a system which canrealize optimum dam operations as awater system in general is being
reviewed after enhancing inflow
prediction of snow-melted water flowing
to the dams. Horizontal development
to other dams will also be carried out.

8

⑧ [Distribution (IC tags)] Development of New Supply Chain Information Sharing Systemusing IoT Technology (Project to improve domestic consumer supply chain) Waste in the domestic consumer supply chain is becoming an increasing social problem such as
food loss, returned purchases, etc. There is a risk that it may become difficult to maintain distribution
systems, which is a social infrastructure, due to the severe lack of manpower, etc.
 This project aims to visualize and advance supply chains by establishing data formats and operations
rules for the same system by building a prototype of a supply chain information sharing systemapplying RFID and conducting experiments on the sharing of inventory information, etc.

[Image of use of supply chain information sharing system]
Accurate traceabilityof defective products

Improved efficiency ofintermediate distribution by
the visualization of delivery
status and stock[Manufacturer][Distribution/wholesale]

Manpower saving at cash
registers, improved
efficiency of inventory
control, prevention of theft

Self-management of home
stocking of purchased
products and state of use[Retail][Consumer]

Source-tagged products are distributed, and supply chain information is acquired.
Manufacturing
information

Delivery
information

Inventory
information

Sales
information

Lossinformation

Expiry date
information

Consumption
Information (*)

Supply chain information platform* As data on consumers are private information, assuming a mechanism where the consumers themselves control the concerned information.

9⑨ [Distribution (Trade Procedures)]
Project for Improving Efficiency of Trade Procedures in Global Supply Chain
 It is not possible to link data accurately to the end with the current procedures, because some
private sector procedures related to port trade have not been digitalized, and there is a need to input
data or check data during the procedures.
 Aiming to improve the productivity of business entities involved in trade procedure work and reduce
export lead time, construct a trade information linkage infrastructure system for sharing data on
cargo and procedures, etc., accurately between related parties including business entities who havenot digitalized their procedures, and carry out demonstration and verification of effects at specific ports.

Overseas
Data Linkage

Trade Information Linkage Infrastructure System
Management of browsing/update history and securing authenticity
using block chains

Application

Application

Digitization of documents

Application

Status management Access control[Construction of trade information linkage infrastructure
system]• System which enables safe management and sharing of data on
cargo and trade procedures between business entities involvedin export procedures using block chain technology.
• Simple interface taking also into account backbone, small andmedium companies facing problems with API and digitalization
for facilitating linkage with existing in-house systems of relatedcompanies.
• Optimum linkage with work procedures for related
administrative organizations such as customs, etc. and related
private businesses processed using the export/import /port
related information processing system (NACCS).
【Demonstration/verification of effects】
In 2018, will conduct demonstration and verification of effects
at several ports, participated by multiple business entities.
【Review of standardization】
To enable business entities involved in trade procedures to carryout data linkage smoothly, conduct surveys and reviews forstandardizing data formats (items, units, etc.) required formarine export procedures drawing up guidelines on data sharing
rules, etc.

10

⑩ [Mobility Area] R＆D/Demonstration Project for Social Implementation of Advanced
Automated Driving System
In order to contribute to the promotion of energy saving in the transportation sector, this project considers thetechnology, operating environment, etc. required for the social implementation of advanced automated driving
system through its demonstration, etc., taking safety/social acceptability/economy/ global trend, etc. into account.

Convoy Driving④The third vehicle
onwards are connected
electronically for
automated driving basedon automated driving byautomatic drive system.

Target：Commercialize in 2022 at the earliest
Manned①First vehicle isdriven by driver.

Unmanned②The vehicles areelectronically connected
to form a convoy.

Unmanned①Automatic drive system ismounted to vehicles at the backfor automated driving.

Convoy driving on Tomei Expressway

Transportation service by unmanned transportation automated driving (Last One Mile Automated Driving)
Target：Realize transportation service by unmanned driving in 2020.

E.g.: Suburbs※Other possible applications include city streets, housing complex, tourist sites, private land, etc.

① Users (senior citizens, etc.) call for an
unmanned automated driving vehicle
and go on board.

②Unmanned
automated
driving③Get off at
destination(home, etc.)

最終目的地
Final destination(one’shome etc.)(自宅等)

Neareststation etc.
最寄駅等

④ Unmanned vehicle returns automatically.
* Carried out in ４ regions (Hitachi City of Ibaraki Prefecture,
Wajima City of Ishikawa Prefecture, Eiheiji-cho of Fukui
Prefecture and Chatan-cho of Okinawa Prefecture)

Automated driving fully
unmanned inside the car

Remote control/monitoring

Remote monitoring/control
Control Center11

Reference Material #4

Next Growth to Japan’s Start-ups.
Next Innovations to the World.
© 2018 Ministry of Economy, Trade and Industry.

Vision

Next growth to Japan’s start-ups.
Next innovations to the world.

In Japan, about 10,000 start-ups are challenging something new each day.
However, the companies that are active globally are just a few.
J-Startup aims to create the companies that can be competitive and win in
the world, bring them together, and provide new innovations to the world.

J-Startup intensively supports the selected companies in both the private
and public sectors, and creates success models.
From “Boom” to “Culture”.

Heroes born here raise the level of startups, and enhance further theventure ecosystem in Japan.

© 2018 Ministry of Economy, Trade and Industry.

2

Goal

The government has proposed a new target “ start up 20 unlisted venturecompanies (unicorn) or listed venture companies with corporate value ormarket capitalization of more than 1 billion yen by 2023 ”.
By raising the top layer and creating startups that grow globally , our aim
is to reach the government target , create role models , and have thewhole society foster the entrepreneur mind of starting own ventures andundertaking challenges, in order to further strengthen Japan’s startup
ecosystem.

Improvement of presence ofstartups in Japan

Lift up top layer/Creation of role models

Enhancement of collaboration
system for startup support/
increase of supporters

Further enhancement of thestartup ecosystem in Japan＊ Future Investment Strategy 2018（June 15, 2018 cabinet decision）© 2018 Ministry of Economy, Trade and Industry.

3

About“J-Startup” creates startups that can compete and win in the global
scene, and provides new values to the world through innovativetechnologies and business models.
By creating success models, further strengthen venture ecosystems inJapan.

SelectGo Global

J-Startup
companies
About 100
companies

About 10,000
startups

Connect

Overseas expansion（Participate in
exhibition, etc.)

Large companies, VCs,
accelerators,
government organizations

SelectConnect

Go Global

Select companies withpotentials throughrecommendations from top
supported in the private
sector.

Foster support community,and link this to government
support and private sector
support.

Support global expansion
as Japan’s representatives© 2018 Ministry of Economy, Trade and Industry.

4

Select

Recommendationcommittee

Recommendation
standards□ Mission□ Creativity□ Growth potential, etc.

Highly recommendable companies are selected by top venture
capitalists, accelerators, and innovation personnel at major companies,
etc. External review committees check the recommended companies
while respecting the recommendations made.
Startup companies narrowed down through strict screening are selected
as J-Startup companies.

J-Startup
companies

External
review
committee

Checked byacademic experts,
lawyers, etc.

About 10,000 startups active in Japan
Recommended company types：Deep tech type, platform type, SDGｓ
※Recommendation committee/external review committee: The METI and Secretariat assign the people
who have startup support experience as well as the sufficient experiences and track records.
© 2018 Ministry of Economy, Trade and Industry.

5Connect

Build communities for supporting J -Startup.
Centering around the Secretariat consisting of private sector
support organizations, NEDO, JETRO, and METI, connect J -Startup
companies, supporters, and government organizations, andrealize timely and speedy support.

Support fromprivate sector

Major companies,
VS, accelerators

Government
supportSet up priority brackets
and scoring system whenusing government
policies.

Support fromprivate sector

E.g.)□ Provide financial support through certified VCs.
□ Support use of “regulation sandbox”.
□ Support construction of intellectual strategies.
Government related organizations□ Support overseas expansion (mentoring, event（Secretariat：METI, NEDO, and JETRO）
participation support, etc.)

VC, accelerators,
major companies,
etc.

E.g.)
□ Provide collaboration opportunities.
□ Mentoring from managerial level, internal
specialists, etc.
□ Provide office space, pilot experiments, etc.
□Give priority to participation in acceleration
programs, etc.
© 2018 Ministry of Economy, Trade and Industry.

6

Example ofintensive support
by government

The government provides intensive support to J -Startup
companies through incentives for supporting policies, etc.

• Use of J-Startup logo (branding as selected company)• PR by special website, Japanese and overseas media, etc.
• Participation in overseas missions by government such as
ministers, etc.
• Support of participation in large-scale events outside/inside
Japan.
• Preferential treatment in support policies such as various
grants, etc., simplification of procedures.
• Business matching (individual connections to executives ofmajor companies, ministries and agencies, etc.）• Active use of regulation sandboxes.
• Support for other demands related to regulations, etc.

© 2018 Ministry of Economy, Trade and Industry.

7

Example of intensive support
by J-Startup Supporters

Supporter companies provide intensive support
to J-Startup companies using their resources.

• Provide office space and preferential prices (offices, freespace in factories, training facilities, showrooms, etc.)• Cooperate in demonstration experiments using robots,
products/parts, infrastructure networks, etc.
• Provide verification environments and analysis equipment.
• Provide benefits such as acceleration programs andmonozukuri (manufacturing) support programs.
• Advice provided by specialists and those with know-how.
• Introduce their own customers, related companies, etc.

© 2018 Ministry of Economy, Trade and Industry.

8

Go Global

Support the overseas expansion of
J-Startup companies

J-Startup TourSupport participation in global tradeshows/exhibitions.
Secure exhibition space as J-Startup
Pavilion.
Exhibition candidates：
SLUSH, SXSW, CES, TECH IN ASIA,
GITEX FUTURE STARS, Web Summit

JETRO Global Acceleration Hub
Hubs set up in advanced regions
provide local information,
mentoring, and support for building
local communities to startup
companies advancing abroad.
©Petri Anttila© 2018 Ministry of Economy, Trade and Industry.

9

J-Startup Tours
Overseas

10/14-17@Dubai11/5-8@Lisbon

1/8-11@Las Vegas

12/4-5@Helsinki

3/8-17@Austin5/16-18@ParisJapan
Innovation
Summit9/11@Tokyo10/16-19@Tokyo10/22-24@Tokyo12/3-4@Tokyo© 2018 Ministry of Economy, Trade and Industry.

10

InboundInvite overseas entrepreneurs to Japan tostrengthen Japan’s startup ecosystem.

JETRO global acceleration hub
Hubs set up in main regions in theworld provide support for advanced
into Japan.
Collaborate in market surveys andbusiness planning support in Japan.

Special zone system

Present

Startup visa
Relax residence status requirementsfor overseas entrepreneurs inmunicipals authorized by thecountry. Residential status forstartup can be acquired 6 months
earlier than present.

Management and control(Creative activities)

6 months

New
New System

Nationwide

Residential status provided for startup

6 months

6 months© 2018 Ministry of Economy, Trade and Industry.

11

Reference© 2018 Ministry of Economy, Trade and Industry.

12Selecting J-Startup Companies
Selection of recommendation committee members① Entrepreneurs/startup support track record② Cooperation in this project

Recommendation points[Recommended business types]
・ IoT age real tech・ Platformer
・ SDGs[Evaluated points]
・ Mission・ Creativity
・ Growth potential, etc.

© 2018 Ministry of Economy, Trade and Industry.

13

Evaluation of Recommended Companies[Aggregating evaluation points]①

Evaluation points byrecommendation committee②

Added points bymanagement phase③

Added points by diversity④

Added points by government
support measures[Screening by external experts]+•

Is evaluation method suitable?

•

Are there problems with theselection process
and others© 2018 Ministry of Economy, Trade and Industry.

14

Outline of J-Startup Companies% by business type

Robot ：8%

Distribution of capital（億円）

AI/Control：13% 25
Service/platform：22%
20

Environment/energy/

21.
1

15

society 4%
Manufacturing/material：8%

IoT device/ICT/Application：20%

Medical engineering/ bio 14%
Aviation/space:6%

8.8

10

5
0

Mobility：5%

Mean
平均

Median
中央値© 2018 Ministry of Economy, Trade and Industry.

15

J-Startup Companies (92) 1/2
ArchiTek
ispace, inc.
AWAKENS, Inc.
Axelspace Corporation
Astroscale Japan Inc.
ABEJA, Inc.
ARAYA
AlpacaJapan Co., Ltd.
Idein Inc.
Inagora Inc.
InstaVR
Infostellar Inc.
WHILL Inc.
AISing. LTD
AI Silk Corporation
ExaWizards Inc.
EdiGENE Corporation
LPixel Inc.
Elephantech Inc.
O:inc
Money Design Co., Ltd.
Origami Inc.
al+ Inc.

Caulis Inc.
CureApp, Inc.
iQPS Inc.
Kyulux, Inc.
Kyoto Robotics Corporation
Quantum Biosystems Inc.
CrowdWorks Inc.
GROOVE X, Inc.
Global Mobility Service, Inc.
Cogent Labs Inc.
cocoa motors. Inc.
CONNECTEC JAPAN CorporationCYBERDYNE, INC.
GRA Inc.
JTOWER Inc.
Studio Ousia Inc.
Spiber Inc.
Spacelink Co., Ltd.
SmartHR, Inc.
SmartDrive
SuRaLa Net Co.,Ltd.
seven dreamers laboratories inc.
ZMP Inc.

16

J-Startup Companies (92) 2/2
SORABITO Inc.
Challenergy Inc.
tsumug Inc.
Terra Motors Corporation
Telexistence Inc.
Trigence Semiconductor, Inc.
Triple W Japan K.K.
NANOEGG® Research Laboratories,Inc.
JEPLAN, INC.
PKSHA Technology Inc.
Biome Inc.
Panair, Inc.
P-Mind Co., Ltd.
Pixie Dust Technologies, Inc.
visasQ inc.
VISITS Technologies Inc.
BizteX, Inc.
BizReach, Inc.
FiNC inc.
Photo electron Soul Inc.
Preferred Networks, Inc.
Fringe81 Co.,Ltd.
FLOSFIA INC.

PeptiDream Inc.
Holoeyes Inc.
Microwave Chemical Co.,Ltd.
Money Forward, Inc.
MAMORIO, Inc.
MUJIN Inc.
Megakaryon Corporation
mediVR, Inc
Mercari, Inc.
MELTIN MMI
euglena Co.,Ltd.
UZABASE, Inc.
Life is Tech, Inc.
RAKSUL INC.
ReasonWhy Inc.
LeapMind Inc.
Liquid, Inc.
RIVERFIELD Inc.
ReproCELL Inc.
Routrek Networks, Inc.
Lequio Power Technology Corp.
Regcell Co., Ltd.
WAmazing, Inc.

17

J-Startup recommendation committee members（66 members）
Tohru Akaura (IncubateFund)Hironobu Azuma (The Japan Research Institute, Limited: SMBC MIRAI）
Tomohiro Anzai (Fast Track Initiative, Inc.)Gen Isayama (WiL, LLC.)
Sorato Ijichi (Creww Inc.)
Tsuyoshi Ito (Beyond Next Ventures Inc.）
Junichi Imoto (Nissay Capital Co., Ltd.)
Takahiro Uchida (Japanese Organization for Medical Device Development, Inc.)
Takaaki Umezawa (A.T. Kearney)
Kazuya Umeda (Kyoto Research Park Corp.)
Takuto Egusa (Nomura Holdings: VOYAGER)
Tomohiro Ebata (KDDI Corporation: KDDI ∞ labo)
Hajime Oshita (MedVenture Partners Inc.)
Osamu Ogasawara (ABBALab inc.)
Hiroaki Okahashi (Miyako Capital)
Hiromi Okuda (Wizgroup inc.)
Yoshimasa Kato (Tokyu Corporation: Tokyu Accelerate Program)Hiroaki Kato (Digital Hollywood University Graduate School)
Yoshihisa Kaneko (Daiwa Securities: :Daiwa Innovation network)
Soichi Kariyazono (Globis Capital Partners/Japan Venture Capital Association)
Junichiro Kono (ITOCHU Technology Ventures, Inc)
Kota Kimura (IBM Japan, Ltd: IBM BlueHub)
Ryosuke Kimura (IF Lifetime Ventures)
Takeshi Natsuno (Keio University Graduate School)
Yukihiko Kunimoto (The Independents Club)
Masashi Kubota (Microsoft Japan Co., Ltd.: Microsoft Innovation Award）
Hideomi Kurita (KSP, Inc)
Tomotaka Goji (The University of Tokyo Edge Capital Co., Ltd.)
Shingo Kunido (TX Entrepreneur Partners)
Yuma Saito (Deloitte Tohmatsu Venture Support Co., Ltd.)
Kentaro Sakakibara (Samurai Incubate Inc.)
Tsuyoshi Sakamoto (QB Capital, LLC.)
Masahiro Samejima (Lawyer)

James Riney (500 Startups Japan)
Hitoshi Shin (Mizuho Securities Co., Ltd.:MIZUHO Innovation Award)
Norifumi Suzuki (01Booster Inc.)
Hiromu Soga (KAPION Inc.)
Taizo Son (Mistletoe, Inc.)
Makoto Takano (Forbes Japan/MT Partners K.K.)
Tadashi Takiguchi (WERU INVESTMENT CO., LTD.)
Masahiro Takizawa (Nippon Telegraph and Telephone East
Corporation: NTT East Accelerator Program)

Kotaro Chiba (Drone Fund/Individual Investor)
Naomi Tokunaga (Fujitsu Limited)
Kazuhiko Toyama (Industrial Growth Platform, Inc.)
Tetsujiro Nakagaki (Draper Nexus Venture Partners, LLC)
Jun Nakajima (Archetype Corporation)
Akihiko Nagata (Euglena SMBC Nikko Rivance Capital)
Naohiro Nishiguchi (Japan Innovation Network)
Ryuichi Nishida (B Dash Ventures Inc.)
Takashi Hakii (Konica Minolta, Inc: Business Innovation Center Japan)
Yuka Hattori (Inclusion Japan,Inc.)
Chiaki Hayashi (Loftwork Inc.)
Ryohei Hayashi (DOGAN, Inc.)
Katsuya Hirokawa (General foundation SFC Forum)
Phillip Seiji Vincent (Plug and Play Japan KK)
Takahiro Fukui (Japan Post Co., Ltd.:Post Logitech Innovation Award)? Fujiki (藤記 敬久） (Future Venture Capital Co.,Ltd.)
Hideto Fujino (Rheos Capital Works Inc.)
Daisuke Hoshino (Culture Convenience Club Co.,Ltd.: CCC T-Venture Program）
Yoshito Hori (Graduate School of Management, GLOBIS University)
Shuji Honjo (Honjo International)
Takuya Matsutani (PROJECT NIPPON Co.,LTD.)
Yukihiro Maru (Leave a Nest Co., Ltd.)
Keisuke Miyoshi (JAFCO Co., Ltd.)
Masao Yuki (Mitsubishi UFJ Capital Co., Ltd.: MUFG Rize up Festa)
Yasuhiko Yurimoto (Global Brain Corporation)18

J-Startup Supporters (122 companies)
Archetype Corporation
ABBALab inc.
一般社団法人iEducation
IF Lifetime Ventures
AXA Life Insurance Co., Ltd.
Accenture Japan Ltd.
KPMG AZSA LLC
Amazon Web Services, Inc.
ITOCHU Technology Ventures, Inc.
incubate Fund
Inclusion Japan,Inc.
The Independents Club
Wizgroup inc.
WiL, LLC.
WERU INVESTMENT CO., LTD.
Uchida & Samejima Law Firm
A.T. Kearney
SMBC Nikko Securities Inc.
SMBC Venture Capital.
SBI Investment Co., Ltd.
EDGEof, Inc
NTT DATA Corporation
NTT DOCOMO, INC.
MT Partners K.K.
Oki Electric Industry Co., Ltd.
OMRON Corporation
Olympus Corporation
Kadokawa Ascii Research Laboratories, Inc.
KAPION Inc.
Culture Convenience Club Co.,Ltd.
The Kansai Electric Power Company, Incorporated
QB Capital, LLC
Kyoto Research Park Corp.
Kirin Holdings Company, Limited.
Google Japan LLC
Creww Inc.
Global Brain Corporation
GLOBIS CAPITAL PARTNERS & Co.
Graduate School of Management, GLOBIS University
Industrial Growth Platform, Inc.
KSP, Inc.

KDDI Corporation
Konica Minolta, Inc.
SAMURAI INCUBATE.INC
Sharp Corporation
Japan Innovation Network
JAFCO Co., Ltd.
Johnson & Johnson Innovation
ERNST & YOUNG SHINNIHON LLC
SPARX Overseas, Ltd.
Spiral Ventures Pte Ltd / Spiral Ventures Japan LLP
Sumitomo Life Insurance Company
Seiko Epson Corporation
01Booster Inc.
Sony Bank Incorporated
SoftBank Corp.
SB Innoventure Corp.
Sompo Japan Nipponkoa Insurance Inc.
The Dai-ichi Life Insurance Company, Limited
Dai Nippon Printing Co., Ltd.
Daiwa Securities Co. Ltd.
Takeda Pharmaceutical Company Limited
Mitsubishi Tanabe Pharma Corporation
TX Entrepreneur Partners
DMM.com GroupTDK Corporation
Deloitte Tohmatsu Venture Support Co., Ltd
Tokio Marine Holdings, Inc.
TOKYO GAS Co., Ltd.
Tokyu Corporation
The University of Tokyo Edge Capital Co., Ltd.
DOGAN beta, Inc.
Toppan Printing Co., Ltd.
Draper Nexus Venture Partners, LLC
DRONE Fund
Nissay Capital Co.,ltd
IBM Japan, Ltd
Japanese Organization for Medical Device
Development, Inc.
Nippon Life Insurance Company
The Japan Research Institute, Limited
Microsoft Japan Co., Ltd.
Japan Post Co., Ltd.

* As of August 3, 2018

Japan Society of Clinical Research
Nomura Holdings, Inc.
HEART CATCH Inc.
Panasonic Corporation
B Dash Ventures Inc.
PwC Consulting LLC
Nippon Telegraph and Telephone East Corporation
East Japan Railway Company
Beyond Next Ventures Inc.
500 Startups Japan
Fast Track Initiative, Inc.
Philips Japan, Ltd.
Fujitsu Limited
Future Venture Capital Co.,Ltd.
Plug and Play Tech Center, JapanPROJECT NIPPON Co.,LTD.
Venture Café Tokyo
Maeda Corporation
Mistletoe, Inc.
Mizuho Bank, Ltd.
Mizuho Securities Co., Ltd.
Mitsui Sumitomo Insurance Company, Limited
Sumitomo Mitsui Banking Corporation
Mitsubishi Estate Company,Limited
Mitsubishi UFJ Capital Co., Ltd.
MUFG Bank, Ltd.
Mitsubishi UFJ Morgan Stanley Securities Co., Ltd.
MIYAKO Capital Co., Ltd.
Meiji Yasuda Life Insurance Company
MedVenture Partners, Inc.
MORI Building co.,Ltd
Euglena SMBC Nikko Rivance CapitalLife Science Innovation Network Japan, Inc.
(Mitsui Fudosan Co., Ltd.)
Regus Japan
Recruit Management Solutions Co., Ltd.
Ricoh Company, Ltd.
Leave a Nest Co., Ltd.
Rheos Capital Works Inc.
ROHTO Pharmaceutical Co.,Ltd.
Loftwork Inc.

19

Ministry of Economy, Trade and Industry; METI
Secretariat：New Business Creation Promotion Office, Economic andIndustrial Policy Bureau, METI
1-3-1 Kasumigaseki, Chiyoda-ku, Tokyo 100-8901
TEL：03-3501-1569

Secretariat：Innovation Promotion Section, Intellectual Property &Innovation Promotion Division. JETRO
Ark Mori Building 6F, 1-12-32 Akasaka, Minato-ku, Tokyo 107-6006
TEL：03-3582-5770

Secretariat ：Start-up Group, Innovation Promotion Department, NEDO

Muza Kawasaki Central Tower 20F, 1310 Omiya-cho, Sawai-ku, Kawasaki City,
Kanagawa 212-8554
TEL：044-520-5173© 2018 Ministry of Economy, Trade and Industry.

Reference Material #４

Local IoT Acceleration Labs
Outline of Fourth IoT Lab
Selection

1

Local IoT Acceleration Labs Outline of Fourth IoT Lab Selection■ Kitami City, Hokkaido Prefecture• Through collaboration projects between companies participating in the “Furusato
Network” and local industries, government, and academia, aim to revitalize local
economies by creating ICT industries Originating in Kitami using IoT.
• In the 2015 “Furusato Telework Promotion Project,” a total of 180 persons from ninecompanies in Tokyo metropolitan area participated in telework.
Three companies opened satellite offices and entered partnership agreements forregional revitalization.
• Examples of collaboration projects：① Use of major industry fishing industry × IoT (salmon/trout auctioning system,
marine sensor, etc.)② Winter sports × IoT (curling, Alpen ski, etc.) with Kitami Institute of Technology
Launched a research center specializing in winter sports. (World’s first)③ ICT personnel development④ Business matching using tourism resources and ICT■ Muroran City, Hokkaido Prefecture• Aim to further develop regional solutions for problems using “open data” which the city is
focusing efforts on.
① ”Improvement of public services” through linkage between Administrative data
and GIS（geographical information system), etc.
② ”Promote tourism” taking launch of ferry service with Miyako Iwate Prefecture,arrival of large cruise ships, etc. into port as good opportunities.
③ Provide venues for learning and exchanging information to education organizations andprivate companies (Personnel development)• Disclose “open data” which can be used for resolving regional issues, and review/expand
cases of usage of open data which can be expanded to other regions.
Launch of passenger ferry connecting
Miyako and Muroran once a day.
Accommodates up to 600 persons.
Cruise time is about 10 hours.

Offices installed with AEDFor referencing position, distance,route, and information of offices
installed with AED near designatedplaces.

Check nearby
evacuation areas• Indoor/outdoor
evacuation area
• Depth of flood• Landslide disasterwarning areas,
etc.

2

Local IoT Acceleration Labs Outline of Fourth IoT Lab Selection■ Wakkanai City, Hokkaido Prefecture• New efforts in “Land cultivation”：
Japan’s northernmost town Wakkanai City is facing a decrease in catch in its“fishery industry”, which is its core industry.
Wakkanai City is once again focusing on “land cultivation”, making use of its
geographical advantages as its strengths such as continuous seawater irrigation ofabundant seawater by being surrounded by sea in three directions, cost
reductions during the summer due to the cool climate in the northernmost part ofJapan.
• Improvement of productivity of “Yuchi Imo”：”Yuchi Imo” (potato) increases its sweetness when stored in “snow storage
facilities” during the winter. The production volume is limited due to limited
cultivation fields.
Wakkanai City is thus aiming to improve productivity by using IoT to collect andanalyze information on “air and soil temperature control”, “weather
forecast”, “disease”, etc.

↑Scenery of storage of “Yuchi Imo” during winter■ Naganuma Town, Hokkaido Prefecture
Naganuma town is aiming to increase the number of guests through its “ideal
location”, “tourism resources”, “renovated lodging facilities”.
• Located within one hour by car from airport Shinchitose Airport and major city
Sapporo, it serves as an “ideal location” for touring guests such as cyclists andriders looking for accommodations at the strategic traffic point where national
highways 274 and 337 intersect.
• Main “tourism resources” include its “red crowned cranes” returning to the Maizuru
pond, “a town that is home to red crowned cranes”, “green tourism” based on
agriculture where farms make up about 70% of the town.
• The town also aims to convert used employee housing and teacher housing, etc. to“renovated lodging facilities” and increase lodgings that are both convenientand inexpensive.
• Through this, Naganuma Town aims to improve the present lodging rate of inbound,cyclists, riders, etc. by 5% to increase the number of lodging guests.

↑”Green Tourism (Exchange of information on
farm guest house experience)3

Local IoT Acceleration Labs Outline of Fourth IoT Lab Selection■ Higashikawa Town, Hokkaido Prefecture
Revitalization of local industry and community centering around point cards.
• The IC point card system “Higashikawa Universal Card (HUC)” is installed by about 120
businesses in the town.
Within one year from its launch, the card has grown into a regional card used by morethan 10 000 people, most of whom are town residents.
• By collecting and analyzing data of consumption trends/facility usage trends, etc. which
can be obtained from the use of the point card, the town aims to ① revitalize business,② improve living satisfaction, ③ optimize and improve business efficiency.
• Furthermore, by combining the products and services of member businesses, thecreation of one-and-only original high added value businesses is aimed. (Tourism
combining dining and nature education).
• Higashikawa Town also increased its population by about 16% in about 20 years
through various endeavors to revitalize the region such as its Shashin Koshien
photography event, Japanese language school which is attended by about 200 students
from overseas all year round, matching event participated by about 100 entrepreneurs,
Higashikawa shareholder system (Furusato Nozei), etc.

■Iwate Prefecture• Iwate Prefecture supports the launch of projects aiming to improve
the productivity of monozukuri (manufacturing) companies
collaborating with IT companies and using IoT, etc., and projects
creating new products/services through partnerships between
different business sectors such as manufacturing, IT, agriculture,
fishery, etc.
• It will accelerate project activities by holding seminars andworkshops, and dispatching specialists.

↑Higashikawa Universal Card↑”shareholders certificate”↑”HUC shareholders
certificate”

Image of project
Enhancement of productivity by IoT and New Product Development Promotion Lab
Iwate Embedded
Technologies Workshop/
Iwate Prefecture
Information Service
Industrial Association

Manufacturing
companies

Iwate Smart
Agriculture
Promotion Workshop

Participation

Participation

Participation

University/Public researchorganization, etc.

Project launch

Review of policies
to use IoT, etc.
Precedent model (Review and implementation)
Manufacturing x IT…Enhancement of productivity
Manufacturing x IT x agriculture, etc. …New product development

SupportCreation ofprecedent cases
Horizontal expansion
to SMEs in Iwate
Manufacturing
companies

Farms, etc.

Secretariat (Iwate Prefecture)
Project planning, excavation of possible
partnerships , dissemination of information, andawareness raising

4

Local IoT Acceleration Labs Outline of Fourth IoT Lab Selection■ Aomori Prefecture• Although inbound tourists are increasing, Aomori Prefecture need to create
mechanisms using IoT to increase repeaters and consumers. In the monozukuri(manufacturing) area, many companies have yet to develop products and services andexpand new businesses using IoT.
• For this reason, in the tourism and monozukuri industry, the prefecture aims to
support the creation of IoT businesses such as prototype development subsidies,demonstration projects, etc. and personnel development projects such as seminars
and security training, etc.
① Development of demonstration projects in tourism area
(Multi-lingual, cashless demonstration projects with Aomori Prefecture as field)② Development of new products and services and new business expansion inmonozukuri area
(Support of companies in the prefecture involved in new businesses aiming toresolve regional issues, through industry-government-academia endeavors)■ 岩手県滝沢市

AomoriIoT Acceleration Lab
青森県ＩｏＴ推進ラボ
Prefecture
県
Commission
委嘱
IoT business
ＩｏＴビジネス
network
ネットワーク推進
promotion
coordinatorコーディネータ
Prefectural
県内大学
university

Industrial

Managing
運営

産業技術センター
Technology Center
Managing
運営

Aomori IoT

Base
Facility
拠点施設

あおもりＩｏＴ
WorkshopParticipated
研究会 byabout 30
県内企業等
companies in
Aomori, etc.
約30者が参画

Companies
県内外企業
inside/outside
Aomori

観光連盟
federation

IoT development
ＩｏＴ開発支援棟
support building（平成30年度設置）(Set up 2018)

Tourism

Source: Aomori Tourism Federation■ Takizawa City, Iwate Prefecture• Takizawa City is promoting development of the Takizawa City IPU Innovation
Park as the hub of IT related companies.
• It plans to provide company matching opportunities, industry-academiagovernment demonstration experiment fields, promote the accumulation ofcompanies by improving IoT technical skills including children, aiming at
independence through industry-academia-government collaborations andresolving regional issues.
① Interchanges between industry, academia, and government and different
industries as matching opportunities.
② Establish industry-academia-government R&D projects.
③ Advanced engineer training, ET robot contest, children’s programmingclassroom.

28

Takizawa City IPU Innovation Park

5

Local IoT Acceleration Labs Outline of Fourth IoT Lab Selection■Akita Prefecture

Image of project• Akita Prefecture faces the problem of decreased production
population in the areas of manufacturing, constructionindustry, agriculture, forestry and fishery industry,
medical care and welfare, etc. , and needs to drastically
improve energy saving and productivity.
• The Akita digital innovation promotion consortium based on
industrial-government- academia collaboration, ① Promote
IoT awareness/implementation, ② Secure and foster ICT
personnel, ③ Strengthen ICT companies, ④ Support IT
industrial clusters and start up, ⑤ Support the use of ICT.

Akita Prefecture IoT Promotion Lab(Akita Digital Innovation Promotion Consortium)• Industrial promotion inside the prefecture and resolution of regional issues throughindustrial-academia-government collaborations and advanced technologies• Launch of expert sectional meetings, etc. in each field (manufacturing sectional
meeting, construction sectional meeting, administrative sectional meeting, etc.)
Industrial
Technology
Centers/unive
rsities, etc.

Technological support
Personnel development
Supply coordination
Technologicalinfrastructureenhancement
workshop

滝沢市IPUイノベーションパーク

Companies/gr
oups (users)of various
industries)

ICT
companies(Vendors)

Creation of solutions
and services

Securing/fostering
personnel, productdevelopment, sales
expansion, business
investment,
business expansion

Relatedorganizations,financialorganizations,etc.
Various support

Dissemination/awareness raising
Promotion of use

Matching
Project
generation, etc.

Akita Digital Innovation Strategy Division(Cooperation with departments of prefectural office)Response to the Fourth Industrial Revolution involves various industries and societies,
thus will install a new organization to assume a comprehensive leadership in 2018.

2９■ Kashiwazaki City, Niigata Prefecture• Making use of industrial infrastructure which has focused on the promotion ofmonozukuri (manufacturing) industry and information industry, realize
smart factories through cross-industry synergistic effects, and create
new businesses.
• By undertaking the next projects together with the government, monozukuri
companies, information industry businesses, financial institutions, commerceorganizations led by the Niigata Institute of Technology, inherit technology inthe monozukuri industry and foster and secure IT personnel.
① Support monozukuri companies in the adoption of IoT and AI technologies.
② Demonstration experiments aiming at the overall optimization of the supply
chain.

③ Fostering of personnel using IoT/AI and highly skilled IT personnel.
Smart Factory City in Kashiwazaki

Akita SMEs
Support Character“Gambakke-san”

6Local IoT Acceleration Labs Outline of Fourth IoT Lab Selection■ Nomi City, Ishikawa Prefecture• Aim to construct a system where Nomi City companies can improve
productivity by using IoT and diverse companies can work together anddevelop new business models.
• Aims to form industrial clusters such as IoT companies, etc. T the “Ishikawa
Science Park” comprised by research organizations and support
organizations led by Japan Advanced Institute of Science and Technology(JAIST).
① Hold innovation salons② Ideathon using IoT/AL for resolving regional uses.
③ Hold programming classes for small, junior high, and senior high school
students, and foster teachers of programming education for small, juniorhigh, and senior high school teachers.

■ Tochigi Prefecture• Through the “All Tochigi” system where diverse industrial, academia, andgovernment organizations collaborate, promote Industry 4.0 such as IoT, etc.,
aiming to realize good circulation for the use and provision of IoT, etc. in theprefecture, and create innovative products and services.
① Integrate, share, and provide information on endeavors related to IoT, etc.

② Promote adoption and utilization of IoT, etc.
③ Promote growth of industries supporting IoT, etc.
④ Establish projects on the use of IoT, etc. (Review and selection of regional issues
by the prefectural cross-ministerial organization installed this year in the Tochigi
Prefecture Information Promotion Headquarters “ICT Industrial Promotion
Committee “)Ishikawa Science Park

7

Local IoT Acceleration Labs Outline of Fourth IoT Lab Selection■ Yao City, Osaka Prefecture• Although Yao City is a hub of diverse production processes andtechnologies in addition to toothbrush (top share), metal products, electronicequipment, etc., companies are positioned as subcontractors and theirrecognition is poor.
• Through the private sector collaboration local innovation promotion base
“Miseruba Yao”（launched August 2018）Yao City aims to promote: ① spaceshare, ② customer information (purchase record, etc.), share, ③ knowledge
share of personnel at participating companies.
• Carry out fostering of creative personnel through IoT trials, and open up ideas
and administrative information, in the aim to become the reference model
for a collaborative environment for regional companies.

■ Maibara City, Shiga Prefecture• Review the invitation and launch of ”AI agri-industry cluster base”
installing 100 “IoT Smart GreenHouse” as agri-business test beds.
• Promote the creation and invitation of “businesses participating in
advanced agri-business using AI/IoT technology” and “technicaldevelopment startup ventures in related areas” as the core of
the base.
• By positioning as the base of regional policies of Maihara City, aim toresolve regional issues by policy related collaborations such as foodand education and agriculture and welfare.

Illustration of testbed system （Source：Yanmar website）

8

Local IoT Acceleration Labs Outline of Fourth IoT Lab Selection■ Tokushima Prefecture

Tokushima IoT Platform• Promote the “Tokushima Industrie 4.0” effort contributing toresolving regional tasks, activating regional economy, andimproving services for prefectural residents by actively using
new technologies such as IoT through the joint collaboration
between industry, academia, and government.

Application examples• Set up the data sharing infrastructure “Tokushima IoT Platform”,
open use companies and universities in the prefecture topromote the creation of new “IoT services”.
① Match seeds and needs of efforts related to IoT, etc.
② Hold seminars and training on IoT, etc.
③ Gather and send out information on IoT, etc.
④ Establishment of network of members,
etc.

Tokushima IoT Platform(Data sharing infrastructure)
Network layer (4G/LTE/LPWA (NB-IoT etc./Wi-Fi)

Data

Data

Data

Various sensors according to applicaation(images, lights, temperature, humidity, acceleration, and magnetism)■ Kamiyama Town, Tokushima Prefecture• By forming a joint government, private sector, regional collaboration
consortium, and launching smart agriculture and forestry, promote IoT
business demonstration experiments for resolving regional issues such asanimal damage countermeasures, problems related to elderly persons
living alone, etc.

• Use existing facilities (Kamiyama Valley Satellite Office Complex) and new
facilities (JA Myozai District Kamibun Office site) as a base of operation.
• Aim to open regional bases to residents, create “Lab KAMIYAMA” projects, andfoster IoT personnel to lead business.

9

Local IoT Acceleration Labs Outline of Fourth IoT Lab Selection■ Takamatsu City. Kagawa Prefecture• Resolve regional issues and reinvigorate the regional economy bytransforming Takamatsu City into a smart city by the use of public
and private sector data on a common platform throughcollaboration between industry academia, private sector, andgovernment.
• Setup a working group for each theme inside the Smart City Takamatsu
Council, and aim to launch the projects at the end of the installation.
◇ Example of Working Group (ＷＧ)

Resolving diverse regional issues faced by Takamatsu City

Use of data by industry, academia, private sector, and government

Common platform(FIWARE)
Gather various data
Tourism/com
merce andindustry
promotion

Disasterprevention/
reduction
Infrastruct
ure assets

Transportation/
urban planning
SafetyHealth/WelfareEducation/
childcare
support• Promote traffic safety using big data (From February 2018)• Use of IoT in disaster response (From May 2018)
Smart City Takamatsu
Future town planning using data

■ Shimabara City, Nagasaki Prefecture

Shimabara Chamber of Commerce
Ariyake Town Chamber of Commerce

Coordinate• Position the strength of the region which is the primary industry – food
manufacturing industry – as the “tabe” monozukuri (food manufacturing)industry”, and create new industries by partnering with IoT related
Business collaboration/matchingcompanies, adopting technologies, and business matching to improve income Core industries Creationof new business/high efficiency by IoT
and increase employment.
“Tabe” monozukuri industry
IoT related companies(Business operators/companies, fisheryinside and outside town
① Personnel education and exchange area
association, agricultural association)
Place for resolving issues
Provide site data
In addition to current endeavors such as “dispatch city government employees
to IT companies”, “Shimabara Joka Programming School”, “Regional ICTClub”, support the “IoT learning activities” of high schools in the city.
② Business area
Create new business with the land cultivation demonstration project of “Geo
Abalone” as a precedent case study and create new business.
③ Others
Window operations AI demonstration, provision of tourism contents using AI,
drone school, etc.

10Local IoT Acceleration Labs Outline of Fourth IoT Lab Selection■ Okinawa City, Okinawa Prefecture• Okinawa City aims to set up a one-stop liaison for supporting those wishing tostart business with Startup Café Koza as the base. It plans to produce
personnel and companies which can drive the regional economy, link this tothe inflow of human resources from outside, corporate relocations, andstimulation of private investments, in the aim to construct ecosystems.
• Case Study of START UP CAFE KOZA:① START UP CAFE KOZA: Inquiry counter to support those who seek to startan enterprise. Equipped with free coworking space.
② KOZA Shore Studio: Coworking space for paying members. Programming
school available③ OKINAWA MIRAI FACTORY: FAB space (3D printer, laser, cutter, etc.)• Over the two years, about 200 budding programmers visited the CAFE. It has
achieved good results, including about 20,000 users per year and about 50 casesof successful establishment of a business. For the future, taking advantage of
geographical advantage as the center of Asia, the Lab aims to expand theefforts and cooperation in and out of Japan.

Local IoT Acceleration Labs Portal Siteト
https://local-iot-lab.ipa.go.jp/

Reference Material #5

Connected Industries and
IoT Related Budget, etc.
(Main part of 2019 Budget Request Draft)- Contents １．Promotion of Connected Industries
 Global SaaS Development Project for Promoting Connected Industries [4.03 billion yen]・・・・
 R&D and Demonstration Project Costs for Implementation of Advanced Automated Driving
System in Society [5.50 billion yen]・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・
 Next Generation AI /Robot Core Technology Development [6.20 billion yen]・・・・・・・・・・・・・・・・・
 High Functional Product Production Technology Using Living Things such as Plants, etc. [3.0billion yen]・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・
 Technological Development Project of Advanced Functional Materials by Computational
Science [2.75 billion yen]・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・

２．Enhancement of Startup Ecosystem Led by J-Startup Global Startup Ecosystem Enhancement Project [1.39 billion yen]・・・・・・・・・・・・・・・・・・・・・・・・・・・
 R&D Type Startup Support Project [2.90 billion yen]・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・
 Medical-Engineering Collaboration Business Promotion Project [3.75 billion yen]・・・・・・・・・・・・

２

３
４
５
６

７
８
９

３．Others

 Realization Project of Energy Saving Society Using Robots/Drones [3.80 billion yen]・・・・・・・・ １０
 Open and Free Government Satellite Data Establishment, Data Usage Environment
Development, and Data Usage Promotion Project Costs [1.35 billion yen]・・・・・・・・・・・・・・・・・・・・ １１
 Innovation Promotion Project for Accelerating AI Chip Development [1.78 billion yen]・・・・・・ １２

1

Global SaaS Development Project for Promoting Connected Industries
2019 Budget Requested

Information Economics Affairs Office,Commerce and Information Policy Bureau
03-3501-0397

4.03 billion yen (New)Image of Project

Details of Project
Aim/Outline of Project

Data sharing platform construction project The main battlefield of the global competition surrounding• Construction of data sharing platform for important area of Connected

data is changing from business using virtual data to that using
real data. Here, it is important to use the quality data of thesite which is a strength of Japan. By linking machine,technology, and people through data, it is important to realize“Connected Industries” aiming to create new added values
and resolve social problems.

Industries• Collaborations related to data platforms aimed at global collaborations

Global SaaS development project• Creation of trans-industry AI system (Participation of diverse users
including AI ventures)

Realization of “positive growth cycle of AI/data) where
increase in shared data enables advanced service
development, resulting in further increase in collaboration
areas.

 This project aims to expand collaboration areas by enabling

many business operators to share data, and apply the data byusing cutting edge technologies such as AI, etc. to develop
new services, and construct an environment where thedevelopment is carried out continuously.

 Specifically, promote the increase in collaboration areas bysupporting the full-scale development of a data sharing
platform between business operators, and at the same time,
support the development of AI system (global SaaS) whose
data, etc. allows it to be used universally, and which has
international competitive strength.

Development of transIncrease in used data volumeindustry AI system (Global
AI/data
Increase in collaboration positive growth cycle AI SaaS) using cutting
areasedge AI technology

Development of trans-industry AI system

Global AI SaaS

Achievement goal

 Aim at efforts for more than two global SaaS developed in fivepriority areas of Connected Industries by 2021.

Overseas expansion

AI

Conditions (Subject, target action, subsidy rate, etc.)
Full-scale establishment ofindustry shared data infrastructure
Linkage with AI SaaS

Data
Subsidies(2/3、1/2)

Issue
Gover
nment

NEDO
Subcontract

Industry shareddata infrastructure

Privatecompanies,
etc.

Real data
Real data(Company A) (Company B)

・・・

Overseas data PF

Other industry PF

2

Automotive Division,
Manufacturing Industries Bureau
03-3501-1690

R&D and Demonstration Project Costs for Implementation ofAdvanced Automated Driving System in Society
2019 Budget Request Draft

5.50 billion yen (3.50 billion yen)

Details of Project
Aim/Outline of Project From the standpoint of responding to environment and energy

restrictions, expectations towards energy saving by the spreadof automated driving, a new endeavor, are growing in thetransportation sector which makes about 20% of the CO2
emissions in Japan.

 On the other hand, there exist problems in the evaluation ofsafety and business environment, etc. requiring thecollaboration of industry, academia, and government for the
implementation of the advanced automated driving system insociety.

 In this project, related ministries will work together to conduct

the research and development of safety evaluation techniquesfrom the viewpoint of safety, social acceptance, and economic
viability, as well as based on international trends, and be thefirst in the world to develop the technologies (technology forfollowing cars to follow preceding cars, remote control andmonitoring technologies, etc.) required for social implementation
through the demonstration of advanced automated driving
system.

Achievement goal

 In the 5-year project from 2016 to 2020, safety evaluation

technologies required for the implementation of advanced selfdriving systems in society will be developed and the businessenvironment, etc. established through demonstration projects,
etc. including the use of public roads.

Image of ProjectImage of demonstration of advanced automateddriving system (Example)[Truck convoy driving]
Using the electronic
linkage system (system
which enables cars to
Highway,etc.
follow cars in front ofthem using
communication sensors
Mannedand without the need forphysical traction)
Unmanned
unmanned convoy drivingof the second following
Unmanned
vehicle onwards will bedemonstrated.
[Controlled automated driving]
Under specific conditions (road, carpark, speed,environment, etc.), the automated driving of cars isverified by the monitoring of the peripheral situationof cars and behavior of cars by operators at remotecontrol centers.
①The user (elderly
person, etc.) calls an
unmanned self-driving
car and gets on thecar.

Remote control/monitoring②Unmanned selfdriving

Control center The truck convoy driving technology will be developed by 2020,
aiming to save energy by more than 10% per vehicle.
Conditions (Subject, target action, subsidy rate, etc.)
Government

Subcontract

Private companies, etc.

④The unmanned selfdriving car goesback automatically.

③The user gets off the car
at the final destination(home, etc.).

Final destination(Home, etc.)3

Next Generation AI /Robot Core Technology Development2019 Budget Requested

6.20 billion yen (5.69 billion yen)

Details of ProjectImage of Project

Aim/Outline of Project Aiming to use artificial intelligence technology to resolve social

issues, conduct R&D combining technologies required for applying
AI in real spaces, such as AI technologies, and technologies of
sensors and actuation for robots to work flexibly.

 In addition, also carry out the development of AI infrastructuretechnologies for implementing AI in manufacturing technologies,
etc., Japan’s strength, such as research and development toenable AI which has an unclear thinking process to be able to“explain”, and research and development to ensure safety when
mounting AI to various equipment such as robots.

(1) Artificial Intelligence/Robot Technology Development• Fusion of AI and robot• AI that can respond flexibly according to the situation• Super-sensing exceeding human senses (vision, smell, etc.)• Self planning technology of robot operations realizing laborsaving for teaching.

• AI infrastructure technology, an area in which Japan candemonstrate its strength.
• Sophisticated data available at the manufacturing scene, AI
using knowledge only available at the manufacturing scene
data/knowledge fusion type AI)• Safety evaluation technology of equipment mounting AI.

 Furthermore, in the priority fields described in Artificial

Intelligence Technology Strategies, carry out large-scale researchand development through industry-academia-government
collaborations aiming to implement the achievements of R&D insociety through the fusion of AI technology and robot technology.
Achievement goal

[Progress of AI technologies until now andfuture directions]Third AI boom
(Machine learning) Using more than six out of all patents applied for this researchand development, aim at the research and development of six
robots mounting next generation artificial intelligence (2020target), as well as aim to acquire patents on more than three AI
infrastructure technologies with which Japan can demonstrate its
strengths using these achievements (2023 target).

Second AI boom
(Knowledge expression)
First AI boom
(Search and reasoning) Aim to implement more than three AI technologies in society

including the practical application of more than two types ofrobots mounting next general AI in the three priority fields“productivity”, “health, medical care, nursing”, and “spatialtransfer” given in Artificial Intelligence Technology Strategies(2023 target).
Conditions (Subject, target action, subsidy rate, etc.)
Grant
Gover
nment

Subcontract

NEDO

Industrial Science and Technology
Project Promotion Office,Industrial Science and Technology
Policy and Environment Bureau
03-3501-9221

Privatecompanies/univ
ersities, etc.

[Challenges]• Blackbox. Difficulty to
explain.
• Data dependence.
Merely statisticalprocessing.
• Human knowledge
not incorporated.
• Need for considerable
trial and error indevelopment
procedure(Knowledge
integration type AI)(Actual world/humancooperation type AI)

AI which can cooperatewith humans
AI which can be trusted in
the real world
AI which is easy to build

Robot coretechnology
Manufacturing
technology
Real world data

(2) Large-scale R&D through collaboration between industry,
academia, and government aiming to implement IoT in society.

• R&D aiming to implement IoT in society in the three priority fields•“productivity”, “health, medical care, nursing”, and “spatialtransfer” given in Artificial Intelligence Technology Strategies.
Carry out cutting edge research aiming to socially implement theachievements of R&D by fusing intelligence technology and robot
technology.

4Bio-Business Promotion Office,Commerce and Service Industry Policy Group
03-3501-8625

High Functional Product Production Technology Using Living Things
such as Plants, etc.

-Innovation of production technologies in decarbonized age resulting from fusion between bio and digital -2019 Budget Requested

3.00 billion yen (2.40 billion yen)

Details of Project In recent years, production technologies of highly functional

 In the development of high efficiency production technologiesof these highly functional products, it is indispensable toconstruct infrastructure technologies unique to Japan byintegrating biology information, rational bio functional design
based on biological information (genome/metabolism functional
design on computer), high efficiency genome editing
technologies tor changing cell functions (technology to correct
genome information), and large-scale DNA synthesis
technology adding new functions to cells（technology foradding genome information).

 This project aims to secure the competitive strength ofJapanese companies by developing technologies required andestablishing the platform accumulating bio manufacturing
production technologies.

Achievement goal

 This is a 5-year project from 2016 to 2020. It aims tocontribute to realizing an energy-saving society by establishingthe infrastructure for overwhelmingly low costs biomanufacturing compared to chemical synthesis.(Aim at energy
saving of 858000 kl/year according to the prospects for 2030.)

Conditions (Subject, target action, subsidy rate, etc.)
Grant
Gover
nment

Subcontract/subsidy (Large company ½ subsidy, small
and medium company 2/3 subsidy）

NEDO

Universities/ privatecompanies, etc.

Creation ofsmartcell
production plant

Microorganisms

Plant

Generalchemicals(raw material)

Creation of new values

products (functional materials, etc.) using living things such as
plants and microorganisms, etc. are capable of producing
substances using less energy and at low costs compared tochemical synthesis, and are thus drawing attention for being
able to produce raw materials which can replace fossil
resources. The global market scale is expected to expand to
200 trillion yen in 2030. （OECD, 2009）

Conventional production
process
・Use of fossil resources
・High energy consumption
・Not sustainable→Mass production/mass
consumption society

Bioplastic

Production ofsubstances fromrecyclable materials
Low cost/energy
savingsubstances

Usefulprotein

Production of highfunctional products
from living things Function
substances
for food
Pharmaceuticalintermediates

Bieconomy creation and realizationof carbon cycle society

Aim/Outline of ProjectImage of Project

Acquisition of information for enhancing production
efficiency and development of infrastructure technologies
Rational biofunction
Accumulation of biologicaldesign technology based
information
on biological information
Acquire/accumulate largeHigh production smart cell
scale data such as genome
design based on genome
information from diverse/metabolism function designindustrial producing strain ofon computer.
companies, etc.
Product information
ATGCCTGAGCATGCCTGAG
CTAGCATAGATGCCTGAGCTAGCACAATGCCTGAGCTA
GCA・・・・・・

ProducingstrainDatabase

Domestic genome editing
technology
Development of technologies
that selectively modify (edit)
specific genome information

PPR
motif

Long chain DNA synthesis
technology
Development of long chain
DNA synthesis technology foradding new functions to cells

Establishment of smartcell integration platform for realizing production

Plant production

Organism production

Establishment of
production technologies
using development
infrastructure technology
and plant factory

Construction of total
system fusingdevelopment
infrastructure technology

Verification and sophistication of development tools and systems throughpractical target production.
Using information technologies and highly efficient genome editing
technologies, etc. create energy-saving bio industries producing highly
functional products using living things.

5

Technological Development Project of Advanced Functional Materials
by Computational Science2019 Budget Requested

Materials Innovation Office
Manufacturing Industries Bureau
03-3501-1737

2.75 billion yen (2.65 billion yen)

Image of Project

Details of Project
Aim/Outline of Project By carrying out the project through intensive research based on

 In the past, the development of functional materials ※、wascarried out over a long period of time by building up hypothesis
based on “experience and instinct” taking into accountaccumulated experience and evaluation data of the structure
and properties of many materials and reaction paths, etc. of
catalysts. and repeating this to validate data based on
experiments.

industry-academia-government collaboration, aim to sharply
reduce the R&D period of this project.
Computational
science (AI,etc.)

Process
technology

Simulation design

High speed
prototyping

Cutting edgemeasurement

Material data
structured
technology

Cutting edge nanomeasurement

Text mining, etc.
Image recognition
software, etc.

technology※Materials with outstanding chemical functions and electrical functions suchas insulation materials and catalysts, etc.

 This project aims to construct innovative material development
systems applying computational science of advanced AI, etc.,
high speed trial production and innovative process technology,
and advanced measurement evaluation technology, as well as
to innovate material development processes until now bydeveloping technologies for enabling AI to lean material datasuch as well known papers and patents, etc.

 Aim to realize energy-saving by dramatically reducing thedevelopment time of functional materials with high energysaving performance (reduce number of trial productions/development time to less than 1/20) to realize energy saving.

Achievement goal

Establishment of system
Linkage of design/process technologies,
evaluation technologies, etc.

Large material data

Development of materials using AI
Composition/structure ⇔ Function

 This is a 6-year project from 2016 to 2021, aiming to saveenergy (crude oil approx. 1270000 kL/year) by drasticallyreducing development time (reduce number of trial
productions /development time to less than 1/20) and saveenergy (crude oil approx. 1260000 kL/year) by introducing
innovative functional materials in 2030.

Dramatically reduces
development time
Flexibletransparent
insulation
sheet forsharplyenhancinginsulation

（E.g.
）

Conditions (Subject, target action, subsidy rate, etc.)
Subcontract

Grant
Gover
nment

NEDO

Subsidy(1/2)

National research
centers,
universities,
companies, etc.

Companies

Development oftechnologies
enabling AI tolean material data

Anti-vibration/soundproof materials forrealizing dramatic lightweightness

Creation of innovative functional materials

6New Business Development Office, Economic
and Industrial Policy Bureau
03-3501-1569
Information Economics Affairs Office,Economic and Industrial Policy Bureau
03-3501-0397

Global Startup Ecosystem Enhancement Project2019 Budget Requested 3.00 billion yen (2.40 billion yen)
Details of ProjectImage of Project

Aim/Outline of Project To realize Society5.0, startup companies contributing to innovation are

an importance presence. However, there are still very few unicorn
companies that are born in Japan (companies exceeding 1 billion dollars
in market capitalization less than 10 years old since their founding).
Around the world, startup ecosystem competition is intensifying
between countries and regions such as not only the mecca of innovation
Silicon Valley, but only France which is advancing into various countries
under the slogan “French Tech”, Israel which is called the “Silicon Valleyof the Middle East” and China’s Shenzhen which is comparable to
Silicon Valley.

 Moving forward, the urgent task would be to strengthen the startup

ecosystem (mechanism which spontaneously and continuously produces
entrepreneurs, startup ventures, and innovation ventures capable ofproducing impact globally to enhance the international competitive
strength of Japan in the fourth industrial revolution, and create startup
ventures that can win in the world one after the other.

(1) Support to J-Startup companies overseas• Support J-Startup companies, etc. in their participation in overseas

startup events, as well as continuously provide support according toneeds in hubs installed in Japan and 10 countries, (matching andmentoring, etc. of local networks). At that time, work with overseas
companies and startups, to further enhance global startup ecosystems.

(2) Support to J-Startup companies in Japan• To construct the system for providing thorough support to J-Startup•

 In this project, the need of companies participating in J-Startup will be

accurately identified, and support suitable for each phase provided topromote their growth into unicorn companies. In addition, in the aim tocreate unicorn companies, support will also be provided to foster
innovators capable of global activities, and quantify manufacturing
related startup companies, in order to strengthen the layer of players
serving as the infrastructure of the startup ecosystem.
*J-Startup is an endeavor where the government and private sector jointly provide
intensive support to startup companies capable of global activities.

•

companies, etc. form a “J-Startup” consortium where VCs and support
organizations in Japan, local municipals, and universities/researchorganizations work together and construct a system which allows handson support of strategic PR and marketing, etc.
In particular, carry out projects together with business operators to
support the quantification, design, and trial production related to
manufacturing, Japan’s strength, and support manufacturing related JStartup companies, etc.
For startup companies aiming to resolve social issues around the world,
identify the areas where Japan can demonstrate its superiority, as wellas consistently support the formation of local rules and creation ofbusiness, to accelerate innovation in SDGs areas.

(3) Strengthening the infrastructure of startup ecosystems

Achievement goal

• Foster innovators who can build globally active business models（１）By 2023, create 20 non-listed companies (unicorn companies) withmarket capitalization of more than 1 billion dollars or listed companies
that are less than 10 years old since their founding as of the beginningof 2018 (including those that have not been established ).

•（２）Aim to support 300 overseas expansion endeavors.
Conditions (Subject, target action, subsidy rate, etc.)
Gover
nment
Gover
nment
Gover
nment

Grant

Independent Subcontract, etc.
Administrative
Institutions, etc

Subcontractfrom the start of the startup, and reinforce the startup ecosysteminfrastructure.
Carry out surveys for promoting the use of various policies andmeasuring effects, to establish the environment for promoting the
growth of startup companies.

Privatecompanies,
etc.

Private companies, etc.
Subsidy（10/10）Privateorganizations

Subsidy
2/3

Privatecompanies,etc.

7Academia-Industry Cooperation Promotion Division,
Economic and Industrial Policy Bureau
03-3501-1778
Industry-University Collaboration Office
Economic and Industrial Policy Bureau
03-3501-0075

R&D Type Startup Support Project2019 Budget Requested 2.90 billion yen (1.70 billion yen)
Details of ProjectImage of Project However, the environment surrounding R&D type startups

continues to be tough in terms of the length of time required for
R&D, difficulty in procuring funds, little accumulation of knowhow
for success, etc., and the ecosystem where spontaneous/continuous creation and growth can be repeated has not yet neem
created.

 For this reason, this project aims to construct an ecosystem for

Source, facility, personnel

Project scale

Aim/Outline of Project To realize Society5.0, startup companies contributing to innovation
are an importance presence. In particular, since R&D type startups
are able to build a technically predominant position through speedy
and bold research and development, they are expected to serve as
the leaders of technological innovation. For this reason, it isimportant to prepare the environment for their establishment andgrowth.

Business
operator
Joint research, etc.

Technology/
knowhow
Hands on support
Entrepreneurs,
supports, VCs

VC, etc.
(Certification)

National Institutefor Educational
Policy Research

Joint research, etc.

Supporting
personel
Business planning
instructions, etc.

supporting R&D type startups capable of rapid growth which may
be selected as J-Startups (*) companies in the future, from thestartup stage by acquiring the commitment of related parties.

 Specifically, provide support in terms of costs related todevelopment for practical applied to R&D startups with thepotential for growth through NEDO on condition that cooperation
will be provided by support personnel, venture capital, researchorganizations, and business companies, etc.
Achievement goal
(1)50% of the startups succeed in procuring funds for the nextstage within one year from the end of support each businessyear.
(2)Compared to before NEDO started this project, doubling ofinvestments by certified VCs in R&D type startups.
Conditions (Subject, target action, subsidy rate, etc.)
Gover
nment

Grant

Subsidy

NEDO

Privatecompanies, etc.

Startup support (Excavation)
Research organization linkage promotion
Seed phase growth support
Inter-business linkage promotion

・ NEDO publicly recruits venture capital for supporting R&D typestartups in the seed phase and certifies them (certified VCs).
・ Of the R&D type startups receiving funds from certified VCs, selectthose that are progressive in terms of technology and business,and provide the following support to them.
➢ Advice on business startup from specialists an certified VCs➢ Subsidies such as development expenses for practical application,
joint research expenses, etc.
➢ Provide the venue for effectively spreading and using the above
support, etc.
※J-Startup is an endeavor where the government and private sector jointly provide
intensive support to startup companies capable of global activities.

８Medical-Engineering Collaboration Business Promotion Project2019 Budget Requested

3.75 billion yen (3.04 billion yen)
Image of Project

Details of Project
Aim/Outline of Project Aim at the development and commercialization of medical
devices making use of Japan’s worldclass “manufacturing
devices”, as well as promote the new market entry of
backbone companies with technical skills, small and medium
companies and ventures, etc., collaborations with medicalorganizations (medical-engineering collaborations), andrevitalize the medical device industry in Japan and enhance thequality of medical care.
 Regarding medical devices for responding to the needs of the
medical scene, support the development and commercializationof these medical devices through collaborations with medicalorganizations, etc. making use of the advanced manufacturing
technologies of Japan, and promote the optimization of medical
costs by expanding and acquiring domestic and overseas
markets, and using the developed medical devices.
 Through the “Medical Device Development Support Network”
run jointly by the Ministry of Education, Ministry of Health, andrelated organizations, etc., provide continuous support fromthe start of development to commercialization by face-to-faceconsultations by expert consultants, and promote new entry byother businesses into the market and promote earlycommercialization.
Achievement goal

 Started in 2014, this project aims to market 100 medical
devices developed by project members, and to expand
the medical device market to 3.2 trillion yen.
Conditions (Subject, target action, subsidy rate, etc.)
Subsidy(Fixed amount)
Government

Medical and Assistive Device Industries Office ,Commerce and Service Industry Policy Group
03-3501-1562

Privatecompanies,
etc.
Subcontract■Support the development and commercialization of medical devices according
to the needs omonozukurif the medical scene through a consortium of small andmedium sized (manufacturing) companies, medical organizations, etc.
• Upper limit of subsidized costs: 80 million yen/year• Subsidy rate：2/3, project duration: Maximum 3 years

Example of commercialization(Thoracicoabdominal fluid filtration concentrator)

 Business operators are manufacturers of industrial machinesentering medical device field.
 Collaborate with medical organizations from the beginning ofdevelopment to develop machine capable of processing
thoracicoadominal fluid generated due to cancer and livercirrhosis, and acquire approval for manufacturing and sales, andrelease to market.
※Planning to increase upper limit of expenses to be subsidized in the year thetrial study is carried out.
■To promote the participation of ventures support early stage efforts(conceptualization, etc.) for which support by VCs is difficult.
・Business scale: 15 million yen/venture（Subcontract）Project duration: 1 year

《Construction of medical device development support network system》
Accompanying consultation through network(One-stop support to companies/universities)
ReleaseMarketing/financeon
strategies
marketRegulatory compliance
Sales/marketing
Production/intellectual
Business/
Manufacturing/overseas strategies asset strategies
service/supply
systemMarket search/ Development/test
Concept design
Accompanying consultants provide continuous support using information andknowhow on development and commercialization of medical equipment.

Medical organization, consultant company/organization, sales industry,
academic associations, financial institutions, funds
Medical device development support network (Secretariat: AMED)

Subsidy（2/3）
Medical researchdevelopment
organizations《Medical device development and commercialization support》

Regional support organization
・Municipal ・ chamber of commerce ・ publicresearch organization ・Public researchorganizations, etc.

Linkage/
supportSpecialist support organization
・PMDA ・AIST ・JST ・JETRO・National Institute of Health Sciences
・JAAME, etc.

* Some J－Startup Recommendation Committee members will provide advise
as accompanying consultants.

9

Realization Project of Energy Saving Society Using Robots/Drones
2019 Budget Requested

Industrial Machinery Division,
Manufacturing Industries Bureau
03-3501-1691

3.80 billion yen (3.22 billion yen)

Details of ProjectImage of Project

Aim/Outline of Project➢ In small transportations, drones which carry out immediatedeliveries in place of trucks with low load rate, and reduceenergy waste by reducing redelivery rate.
➢ Robots/drones that extend the long-life of existing
infrastructures, and support inspection work to reducerebuilding which consumes large amounts of resources andenergy.
 For this reason, this project will draw up standards anddevelop systems for quantitatively evaluating the functions ofrobots and drones which can be used in distribution andinfrastructure inspection, etc. in order to be the first in theworld to implement them in society.
 The following are examples of robot/drone activities
anticipated for realizing energy saving in the areas of
distribution and infrastructure inspection.
 In addition, by aiming at international standardization of robot
and drone technology and systems developed in Japan,
contribute to energy saving in the world, and realize market
creation and expansion of energy saving products and systems
from Japan.
Achievement goal
 This is a 5-year project from 2017 to 2021, aiming to establish
the business environment for socially implementing robots anddrones through verifications, etc. using the Fukushima Robot
Test Field, etc., and acquire international standards.

① Development of performance evaluation standards, etc.
Develop the standards for evaluating the performance of drones that
autonomously fly outside the visual field or third party air spaces,and energy saving technologies of drones satisfying thesestandards.
② Development of operating control and collision
prevention technologies
To implement drones that autonomously fly outside the visual fieldor third party air spaces in society, develop systems for controllingthe operations of countless drones flying in the same air space,develop technologies for preventing collisions with other objects andbuildings on land, and demonstrate distribution using quasi-zenithsatellite system.

③ Promotion of international standardization
For drones for which standards have yet to be established, identify
standardization trends in Europe and the U.S., promote participationin similar activities, and link the above development results tointernational standards.
For robots whose technological development speed is fast and holdthe key to the acquisition of defacto standards, gather the latest
technologies of the world in Japan, and build mechanisms foraccelerating development riles according to Japanese rules.（World
Robot Summit, etc.）
Operation control system

Conditions (Subject, target action, subsidy rate, etc.)①Subcontract・
Subsidy※
Grant
Government

NEDO②Subcontract・
Subsidy※③Subcontract

Privatecompanies, etc.
Privatecompanies, etc.
Privatecompanies, etc.

※Large companies ½ subsidy, small andmedium companies 2/3 subsidy

Distribution

Verification base
Fukushima robot test field

Disaster
response

Inspection of
infrastructure

Collision prevention
technology

Performance
evaluation
standards
International
standardization

10

Open and Free Government Satellite Data Establishment, Data Usage
Environment Development, and Data Usage Promotion Project Costs
2019 Budget Requested

Space Industry Office,
Manufacturing Industries Bureau
03-3501-0973

1.35 billion yen (1.20 billion yen)

Details of Project
Aim/Outline of Project Currently, the space industry is at a turning point, andwhile space data quality and volume are dramatically
improving, it is hoped that various data will be combined
as part of big data to provide solutions for issues related tofarming, infrastructure, finance, etc.

 On the other hand, the data of earth observation satellites

operated by the government is not made open on
platforms that can be used by industrial users. In addition,
given the demands for highly specialized costly facilities
and software for processing satellite data, use of data in
the industry is limited.

Image of Project
Flow of development/use of data platform
Satellite operating
entitySatellite
operations, dataprocessing

Request standard
processing

Development of data
platform
Provide data

Construct data
platform which is user
friendly and allows
use of AI, etc.

 For this reason, this project aims to make government

satellite data open and free, and develop a data platform
capable of using AI and image analysis software, etc. In
addition, in order to promote the use of space data andpromote the creation of business by new application
development, verifications will be carried out for thedevelopment of new applications integrating satellite dataand other data by increasing the opportunities to learn
skills for using satellite data and by using this platform. As
a result, this will help realize the environment where
private companies and universities, etc. can use satellite
data and positioning satellite services easily.

Achievement goal

 This 3-year project from 2018 to 2020 aims at theregistration of 500 users in the data platform eventually.

Private business
operators

Development of userinterface

Image analysis software
Open and free

Based on user
demands, feed back toplatform and reflect indevelopment elements（agile development)

Creation of new
business

User
Promote the development ofapplications by private business
operators, etc.
・Data use verification, etc.
(Integration with other data)

Example of use of satellite data
[Agriculture, forestry, and fishery] [Futures transaction investment
information service ＞
In Aomori Prefecture, satellite data isused to enhance rice cultivation efficiency

U.S. companies estimate the petroleum
storage amount of oil tanks in the worldusing satellite data.

（出典：地方独立行政法人青森県産業技術センター資料より引用（2017年9月宇宙産業シンポジウム））(Resource: Orbital Insight website)

Conditions (Subject, target action, subsidy rate, etc.)

Gover
nment

Subcontract

Private business operators,
etc.

11

Information Industries Division, Commerceand Information Policy Bureau
03-3501-6944

Innovation Promotion Project for Accelerating AI Chip Development2019 Budget Requested

1.78 billion yen (0.80 billion yen)

Details of ProjectImage of Project

Aim/Outline of Project To efficiently process the rapidly increasing information with thearrival of the IoT society, the importance of edge computing forprocessing main information at the edge of the network istalked about. In edge computing, high performance AI chips is
indispensable for realizing compact and energy-saving AI
processing.

Ideas related to AI chipBusiness

 Amongst Japanese venture companies, there exist innovation

seeds for creating new businesses such as the accumulation ofchip technology, etc. However, in order to develop AI chips thatare competitive, there is a need for information on both thesoftware and hardware, as well as costly design tools andverification machines, etc.These pose as high hurdles in thedevelopment of AI chips and their commercialization.

 This project aims to put to practical application ideas on AI

chips of private companies, etc. by providing the development
environment for design tools required for development,
common infrastructure technologies developed by universities
and research organizations, information and knowhow, etc.
required ofr development, to accelerate the development of AI
chips by private companies, etc. and realize innovation.

Completion of AI chip
prototype

PoC gap（Proof of Concept）

Trial production

Private companies
including ventures andsmall and medium
companies in Japan

Design tool
verification
machine・Design tool・Verification device
・Design knowhow, etc.

Information/knowhow
fundamental technologies
Development of common platform technologies byuniversities and research organizations, etc.,
provision of achievements to private companies,
etc.

Achievement goal

① Development towards the practical application of ideas for AI chips

 This 5-year project from 2018 to 2022 aims at more than 50%• To embody the ideas of private companies, etc., develop AI chips forpractical application using the design tools and verification devices, etc.
developed in this project.

practical application rate for technologies developed by privatecompanies, etc.

Conditions (Subject, target action, subsidy rate, etc.)①Subsidy（2/3・1/2）

Grant
Government

Privatecompanies, etc.

NEDO

②Subcontract

Universities/
researchorganizations,etc.

②Development of environment required for the development of AI
chip and development of common infrastructure technology• Establish the development environment required for the development of
AI chip, and provide to private companies, etc.
• Develop infrastructure technologies contributing to the development ofhighly functional AI chips and provide to private companies, etc.
• Provide the information and knowhow required for the development of AI
chip to private companies, etc., and foster personnel with these skills.