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C hih-Hong S un, R

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an C hih-Hong S un, R

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an J ehn-Y ih J uang,

National T aiwa T aiwan GI T aiwan GI

K ang S hang, J

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iang, K ang S hang, J

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iang, , T zai-Hung Wen

iwan University GIS C enter GIS C enter

Major C hallenges to Our S

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Major C hallenges to Our S

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S patially-enabled Intelligent C it MAK OC I - Intelligent Decision C MAK OC I - Intelligent Decision C P rototype F ramework P rototype F ramework Application C ase C

• nclusions

C

• nclusions

iety iety ity C loud C loud

E nvironmental Problem E nvironmental Problem E conomic Problem S

• cial Problem

S

• cial Problem

1 exabyte = 1 billion gigabyte yte

A development based on information to improve decision making process t to improve decision making process t society

http://www-03.ibm.com/innovation/us/thesmartercity/

ion and communication technologies ss to solve problems faced by our ss to solve problems faced by our

03.ibm.com/innovation/us/thesmartercity/

dat a is geo-referenc ed geo-referenc ed

Use the concept of ambient in Use the concept of ambient in Integrate various smart techno Integrate various smart techno Include internet of things, geo broadband, mobile device, an broadband, mobile device, an which have been embedded in t intelligence t intelligence hnologies hnologies eo-sensor network, wireless and cloud computing service, and cloud computing service, d into our daily life

Cloud Com put in

We Data We Data

Go directly to the cloud and use web services

La an an kn

ing

Web Service Web Service

Go directly to the cloud and use web services

Lack a platform to integrate data and mode and transform them to information and and transform them to information and knowledge for decision making

– P rovide robus t s ervice by cloud-ins – P rovide robus t s ervice by cloud-ins applications, allowing updating and – Optimize the fit for decis ion requir – Optimize the fit for decis ion requir contribution from different institut – P roduce cus tomized decis ion s upp – P roduce cus tomized decis ion s upp requirements by utilizing multi-age

C reate a platform for C reate a platform for “customizable” and “concurrently update decision support systems decision support systems

installation of data, models, and installation of data, models, and and alternation among clouds. uirements by integrating research uirements by integrating research tutes. pport s ys tems according to user's pport s ys tems according to user's gent and modularized data/models.

ated”

An intelligent spatial decision An intelligent spatial decision computing service platform

MAKOCI MAKOCI = Multi-Agent Knowledge Or = Agent + Data + Knowledge = Agent + Data + Knowledge

Intelligent Decision Cloud

ion support system cloud ion support system cloud

riented CyberI nfrastructure ge + Technology ge + Technology

Type Type Database Geospatial Data Gove S ensor Data Gove S ensor Data Gove Model Base Geospatial F unction Indu F unction Analysis Model R ese S

• urce

Approach S

• urce

Approach

• vernment

WMS , WF S , KML…

• vernment

S WE

• vernment

S WE dustry WP S , AP I esearch institute Middleware

Ontology: “coded knowledge” Ontology: “coded knowledge”

Organize knowledge and intelligen Build the relationship between da

Agent: “coded reactions” Agent: “coded reactions”

Quickly find out the information a T rack changes, trigger the system, T rack changes, trigger the system, gence of human systematically. data and models. n and analytical tools. m, and publish alerts. m, and publish alerts.

Data Cloud Model Cloud Data Cloud

Data

Model Cloud

Data Model Workflow Workflow Simulation Outputs Analysis and Maps UI Design Decision Support System

Static data Geosp functi Sensor

MAK OC I can be used to: MAK OC I can be used to:

• R

egister and organize data, mo

• F

acilitate developer to mash-u

• F

acilitate developer to mash-u

• Help decision maker to look up

Decision support system spatial ction Model service system

model and web applications. up resources into applications. up resources into applications. up and use intelligent S DS S .

MAK OC I can assist in understand MAK OC I can assist in understand

• The past: Historical data from
• The present: Monitoring data f
• The future: S

imulation result fr

anding the change anding the change

m spatial database ta from real-time sensor lt from analysis model

Following the traditional way t Following the traditional way t a spatial decision support sys

get planning Budgets Sub- contracts Budgets contracts Project Subcontracting Project Subcontracting (Including hardware, software, database, and user interface design)

y to develop y to develop ystem

System implemented Finish 3-5 years 5 years o developmen developmen Finish developmen developmen

30

Using the MAKOCI production Using the MAKOCI production spatial decision support syste

uirements from ecision makers Customized decision support system

equirements Matching Customizing equirements Matching Customizing

The MAK OCI collaborating developers to match the Test-r developers to match the requirements

tion platform to develop a tion platform to develop a stem

• n

Make contracts on leasing

Trial Lease

Months of Months of development development

Trial Lease

running the decision support system

development development

support system

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C arry out a interdisciplinary proj C arry out a interdisciplinary proj

Including physical, human, engine

• 1. E

nabling the sensor web.

• 1. E

nabling the sensor web.

• 2. Modeling for physical system.
• 3. Modeling for human system.
• 3. Modeling for human system.
• 4. Integrating into a intelligent de

developing application systems developing application systems

roject: roject:

ineering, computer, and GI S cience

Applications

ecision cloud and ms.

Sensor Data

ms.

Sensor Data Physical Model

Physical Model

Human Model

Developing tiny smart sensor ne networks. Weather S ens

Monitoring the temperature and temperature and humidity by wireless sensors

P eople Number C

• unting

Detectingmovement by

P eople Number C

• unting

Detectingmovement by infrared light and delivering data by WiF i

Access Point Database Internet User User

Modeling the spatial-temporal variat micro-environment. micro-environment.

E NVI-met is athree-dimens ional microclim E NVI-met is athree-dimens ional microclim simulate the surface-plant-air interactions

iations

• f land cover and urban

limate model designed to E NVI-met limate model designed to ns in urban environment.

Expected Present

Temperature

It can be helpful for building design It can be helpful for building design and environmental improvement simulation.

T racking human contacts to simulate populations by using geo-sensor web populations by using geo-sensor web ate disease spread among high-dense eb and mobile sensors. eb and mobile sensors. Analyzing individual’s mobility and space-tim mobility and space-tim paths.

Movement detecting

Geo-sentinel Real time Alarm

tiotemporal

Alarm indicators

tiotemporal

atabase Disease Risk map of disease transmission Disease transmission model transmission sentinel node

Modeling spatial

Risk map of disease transmission

Modeling spatial

diffusion of diseas transmission

transmission

transmission

Building an intelligent spatial decision integrates sensor data and modeling integrates sensor data and modeling sion support platform which ing results. ing results.

ata: Quantitative precipitation forecast ata: Quantitative precipitation forecast Model: 2D inundation model Model: 2D inundation model

ule ata ata ion del

Workflow: Linking data and mo model

Agent: S etting rule and reactio Agent: S etting rule and reactio ction

43

ction

ulation result: Depth and time hydrograph Decision support: E vacuation sugges ph Decision support: E vacuation sugges

Create an opportunity for Create an opportunity for the industry of information services of an intelligent city, services of an intelligent city, collaborating companies, governments, and research Gove governments, and research institutes.

Gove

Publish geospatial data sets

data sets

vernment Industry R esearch Instit vernment Industry R esearch Instit

Publish geospatial data sets Develop decision support systems Develop analytic and simulation models data sets support systems simulation models

Mash-up functionalities, fast and efficient!

S ystem dev S ystem dev and implem and implem and implem and implem S patial De S upport S

Develop Develop

S upport S

R Developer A Developer A Use Use

Register

Register Register Register

Collaborate Collaborate Provide Provide

Developer B Developer B Government Government

Affordable and useful!

evelopment evelopment lementation lementation lementation lementation l Decision rt S ystem

Use Use

rt S ystem

R egister R egister Decision maker Decision maker Develop Develop T aiwan T aiwan GIS C enter GIS C enter Develop Develop

Register

Register

Assist Assist

development development

46

R esearch Institutes R esearch Institutes

:

Government data/servicesmade av C

• nsultant companies

collaborate w C

• nsultant companies

collaborate w analytic/simulation modelsfor leas MAK OC I provides web-application p consultant companies. consultant companies. Government and enterprises lower by leasing the application. by leasing the application. available via the MAK OC I platform te with research institutesto develop te with research institutesto develop ase. n production platform for GIS ers cost in decision support system

:

Model publisher (consultant compa the model developer (research inst the model developer (research inst This prototype framework would inte sensor web products and provide a t which is highly demanded in the dev which is highly demanded in the dev s p s p pany) shares leasing income with nstitutes). nstitutes). integrate the cloud computing and a total solution for intelligent city eveloping world. eveloping world. It will become the brain of a s patially-enabled intelligent city s patially-enabled intelligent city

WW

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