technology innovation toward human-centric intelligent society

VISIT 2010 – Fujitsu Forum Europe 1

Innovation Forum – Room 12

Shapingtomorrowwith you.

Technology Innovation toward Human-Centric Intelligent Societywith you. g y

Sanya UEHARASenior Vice President, Fujitsu Laboratories Ltd

10:00 h10:00 h

VISIT 2010 – Fujitsu Forum Europe

Technology Innovation towardHuman Centric Intelligent Society

Sanya UEHARASVPSVPFujitsu Laboratories Ltd

VISIT 2010 – Fujitsu Forum Europe 4 Copyright 2010 FUJITSU

Fujitsu Laboratories – A Global R&D Network

Munich

VISIT 2010 – Fujitsu Forum Europe Copyright 2010 FUJITSU5

Agenda

Vision for R&D Tech Innovation

VisualizationVisualizationImage processSecuritySecurity

Conclusion


Vision for R&D

Technology Challenges:Human Centric Intelligent Society


Solving Complex Social Issues

Population Transport

ビジネスCity Safety

Human

Society Business

H lth

y

Government

y Business

Energy

Environment

Health

Environment

VISIT 2010 – Fujitsu Forum Europe Copyright 2010 FUJITSU

Government investments to solve these social issues

8

Paradigm Shift to Human Centric Era

H C t iH C t i

Creating Knowledge,Supporting Human Activities

e Network CentricNetwork Centric

TransformingBusiness Process

Human CentricHuman Centric

ImprovingProductivity

T U

sage Network CentricNetwork Centric

Computer CentricComputer Centric

pe o

f IC

T

Networking

Scop

InternetPC

Cloud ComputingSensor TechnologyUbiquitous TerminalsMobile Communications

VISIT 2010 – Fujitsu Forum Europe Copyright 2010 FUJITSU

1990 2010 202020009

Vision: Human Centric Intelligent Society

To create the social infrastructure useful across organizations and societies,useful across organizations and societies,and provide new “value” and “knowledge”

with focus on humans


Practical Wisdom to Support People

OptimizationOptimizationOptimizationVisualizationVisualizationVisualization

Context AnalysisContext AnalysisContext AnalysisData

AnalysisData

AnalysisData

AnalysisSimulationsSimulationsSimulations OptimizationOptimizationOptimization・・・・・・・・・

yyySimulationsSimulationsSimulations・・・・・・・・・

Practical Wisdom

AppropriateServices

Sense & AnalyzeSense & AnalyzeWisdom Services

Data from sensors, devices, web, and corp. dataData from sensors, devices, web, and corp. data


Healthcare Energy Logistics EnvironmentTransportFood

Core Technology - Architecture

Applications & Backendof Intelligent Society Analyze Optimize/ControlPredict

Healthcare

Environment

Agriculture Energy

Complex data analysis Social simulation

・・・p yPredictive optimization

LegacyApplications Data

Human Centric Applications

Finance Insurance

Retail LogisticsGovernment

D i Context manage.

Federation

O t l Metadata manage.Sensors

Devices Retail Logistics・・・

Device manage.

Event process

Ontology process

Knowledge extract.

Devices


Core Technology - System Evolution

Dynamic Social Modeling Dynamic Social Modeling Predictive Optimization Predictive Optimization

M d l M d l Optimize Optimize

Dynamic Social Modeling Dynamic Social Modeling Predictive Optimization Predictive Optimization Environment

Water R Model Model Optimize Optimize

Current Development

ResourceManagement

Predict Predict Analyze Requirements

Deploy

Maintain

Simulate Simulate Design

Implement

Deploy

Society, O i ti

Smart Grid

Visualize Visualize Social Social Simulation Simulation HighHigh--Volume Volume Visualization Visualization and Predictionand Prediction

Organizations


R&D for Human Centric Intelligent Society

VIRTUALIZATION


Technology Innovation – Visualization

R&D topics and outcomes


R&D for Visualization

Business processApplication systemApplication systemSystem behavior (middleware)Network systemCloud systemyHuman behavior


Synchronized Evolution of IT and Business

People money and information flowBusiness

People, money, and information flow

Visualize IT and human system scientifically

IT systemHuman system


Human system

Ideas for Business Process Visualization

Opportunity arisesBusiness workflow

Sales Register pipelinePipeline

t t

DB

Some clues of Some clues of

Quotation Create quotation

management system Pipeline#

Quotation data

Some clues of business process should be in DB

Some clues of business process should be in DB

Quotation q

Order management system

DB It must be possible to visualize the It must be possible to visualize the

OrderOrdering

systemOrder details

to visualize the business processto visualize the business process

Start assembly Receipt of orderManufacturing management system

DBFactory

Manufacture Progress monitoring

systeAssembly order

Progresshistory


Example: Business Approval System

The generated flow diagram is unexpectedly complicated, due to lots of exceptional routes

INITIAL_STATE

立案担当者:一時保存

564

3155

132

296

Flow diagram with all instances

Statistical value

due to lots of exceptional routes.

立案担当者:作成

立案責任者:受付依頼

6

立案責任者:立案

865立案責任者:一時保存564

3203

6 11

132

55Statistical valueNo. of routes: 809No of instances:

4

1221

272

712 受付責任者:受付

3226 受付担当者:受付

19

696

17

受付担当者:差戻

762

15

2

協議者:協議

3889

5 1

6

8476

No. of instances: 4726

立案担当者:取下

22

8 受付責任者:差戻 3

279

立案担当者:再申請

227

634

449 43

55

決定者:決定

最終決定者:最終決定

143

協議者:差戻

13

11

最終決定者:差戻

3

最終決定者:決定 1

7 4

48 383

339017

16

14

1

決定者:差戻

4105

3861

2786

1

18 614 1

2

2 1

1

158

実施報告者:報告立案責任者:差戻

10報告先:了承

2770 （変更後）実施報告者:報告

8

報告先:差戻

72立案責任者:取下

4

立案担当者:削除

74

19

1

523

6

2

立案責任者:再立案

立案責任者:削除

23 16

1

767

1

367

6

13

179

148

3 1

360

1

367 2

69

2

2

33


FINAL_STATE

523

実施報告者:報告者変更

13

3138

9

1

1

2

182

Visualization Inspires "Awareness”Unexpected processes in the business fields

The system might not catch up current businessWorkers might be struggling or adaptingWorkers might be struggling or adaptingPossibility of incompliance to internal control

Inefficiency of business processInefficiency of business processTemporal change in business process

Reveals “Gap” between system specification (ideal) and actual process based on FACT!

Reveals “Gap” between system specification (ideal) and actual process based on FACT!and actual process based on FACT!and actual process based on FACT!


Technology Innovation –gyImage processing



R&D of Image Processing

Compression and distribution for digital audio-visual servicesBiometric authentication systems using palm vein and fingerprintand fingerprintVideo recognition for sophisticated surveillance systemssystemsVideo processing for in-vehicle driver assistance systemy


Wraparound View System for Automobiles

① ①

②

③④

①

③ ④ Conventional technology

② ①

4 cameras capture video images of four ②

③ ④

New technology

video images of four different views

②


gy

Wraparound View System


Technology Innovation - Security



R&D of Information Security

Inter-cloud data security Information-centric security for data loss preventionInformation centric security for data loss prevention (DLP)Secure enterprise system development and diagnosisSecure enterprise system development and diagnosisEmbedded system security (LSI, mobile phone, etc.) PIAT (partial integrity assurance technology) Homomorphic encryption for cloud data processHomomorphic encryption for cloud data process


Secure Cloud Gateway


Conclusion

New vision on the future ICT systemsChange from IT-centric to human-centric, focusing on people & society Fujitsu innovation will take more responsibility for industry, people and societydus y, peop e a d soc e y


VISIT 2010 – Fujitsu Forum Europe

technology innovation toward human-centric intelligent society

Technology

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fujitsu laboratories

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