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๋ฐ์ดํ„ฐ ํ…Œํฌ๋†€๋Ÿฌ์ง€๋กœ ์—ฌ๋Š” ์Šค๋งˆํŠธ์‹œํ‹ฐ ์„ธ์ƒ
๊น€๋Œ€์˜
2015๋…„ 12์›” 2์ผ
Director, Auto-ID Labs, KAIST
Professor, School of Computing, KAIST
โ€ข kimd@kaist.ac.kr, http://oliot.org, http://autoidlab.kaist.ac.kr, http://resl.kaist.ac.kr http://autoidlabs.org http://gs1.org
ยฉ Auto-ID Lab Korea / KAIST Slide 2
Data Technology ์‹œ๋Œ€์˜ ๋„๋ž˜
๋งˆ์œˆ(้ฆฌ้›ฒยท51) ์•Œ๋ฆฌ๋ฐ”๋ฐ”๊ทธ๋ฃน ํšŒ์žฅ Asian Leadership Conference ๊ธฐ์กฐ์—ฐ์„ค
(2015)
"20๋…„๊ฐ„ ์ง€์†๋ผ์˜จ IT(Information Technology)์˜ ์‹œ๋Œ€๊ฐ€ ์ €๋ฌผ๊ณ  ์•ž์œผ๋กœ
30๋…„๊ฐ„ DT(Data Technology) ํ˜๋ช…์— ๊ธฐ๋ฐ˜ํ•œ ์ƒˆ๋กœ์šด ์ธํ„ฐ๋„ท ์‹œ์žฅ์ด ์—ด๋ฆด
๊ฒƒ์ด๋‹ค"
ยฉ Auto-ID Lab Korea / KAIST Slide 3
Data Technology ๋ž€?
Data Technology ๋Š” (๋น…)๋ฐ์ดํ„ฐ๋ฅผ ์ด์šฉ, (์‹ค์‹œ๊ฐ„)
๋ถ„์„ํ•ด์„œ ๋ฏธ๋ž˜๋ฅผ ์˜ˆ์ธกํ•˜๊ณ  ๊ฐ€์น˜๋ฅผ ์ฐฝ์ถœํ•˜๋Š” ๊ธฐ์ˆ 
ยฉ Auto-ID Lab Korea / KAIST Slide 4
์‚ฌ๋ฌผ์ธํ„ฐ๋„ท ์‹œ๋Œ€์˜ Data Technology๋กœ
์ƒˆ๋กœ์šด ์‹œ์žฅ ์ฐฝ์ถœ (ํ•ญ๊ณต ์‚ฐ์—… ์˜ˆ)
http://wikibon.org/wiki/v/Big_Data_in_the_Aviation_Industry
http://www.forbes.com/sites/ptc/2014/06/23/will-the-internet-of-things-revolutionize-
the-aircraft-industry/
โ˜ž To optimize jet fuel consumption, improve engine efficiency and,
in the long term, drastically reduce maintenance costs
โ˜ž โ€œBy reviewing real-time data, there is no need to break down an
engine every 2,000 hours,โ€ โ€œThis will enable [original equipment
manufacturers] to profitably change their business model to
contracting for hours of operation, not sales of machines.โ€
โ˜ž GEโ€™s Flight Efficiency Services are helping airlines find
efficiencies that can reduce up to 2 percent of their annual fuel bills
ยฉ Auto-ID Lab Korea / KAIST Slide 5
์‚ฌ๋ฌผ์ธํ„ฐ๋„ท ์‹œ๋Œ€์˜ Data Technology๋กœ
์•ˆ์ „ํ•œ ์‚ฌํšŒ ๊ตฌ์ถ• (์Šค๋งˆํŠธ ์‹œํ‹ฐ ์˜ˆ)
The image shows the location
of 2,396,750 road crashes in
Great Britain from 1999 to 2010.
Each light point is an individual
collision which resulted in a
casualty.
The intensity of brightness
shows where collisions are more
frequent.
ยฉ Auto-ID Lab Korea / KAIST Slide 6
์‚ฌ๋ฌผ์ธํ„ฐ๋„ท, ๋น…๋ฐ์ดํ„ฐ, ๊ทธ๋ฆฌ๊ณ  Data Technology
โ€œIDC ์— ๋”ฐ๋ฅด๋ฉด, 2020๋…„
42 ํผ์„ผํŠธ์˜ ๋น…๋ฐ์ดํ„ฐ๊ฐ€ ์‚ฌ๋ฌผ๋กœ ๋ถ€ํ„ฐ ์ƒ์„ฑ๋ 
๊ฒƒ์ด๋ผ๊ณ  ํ•จ.
ยฉ Auto-ID Lab Korea / KAIST Slide 7
(์‚ฌ๋ฌผ) ์ธํ„ฐ๋„ท [Internet of Things] ์ด๋ž€?
ยฉ Auto-ID Lab Korea / KAIST Slide 8
์‚ฌ๋ฌผ์˜ ์ •์˜?
Passive Things Active Things
Wireless Sensors/Actuators
Smart Devices
Consumer Electronics
Knowledge
ยฉ Auto-ID Lab Korea / KAIST Slide 9
์Šค๋งˆํŠธ์‹œํ‹ฐ
A smart city uses digital technologies
or information and communication
technologies (ICT) to enhance quality
and performance of urban services, to
reduce costs and resource
consumption, and to engage more
effectively and actively with its citizens.
ยฉ Auto-ID Lab Korea / KAIST Slide 10
์Šค๋งˆํŠธ์‹œํ‹ฐ ์‚ฌ๋ก€ (Barcelona)
ยฉ Auto-ID Lab Korea / KAIST Slide 11
์Šค๋งˆํŠธ์‹œํ‹ฐ ์‚ฌ๋ก€ (Tel Aviv)
ยฉ Auto-ID Lab Korea / KAIST Slide 12
์Šค๋งˆํŠธ์‹œํ‹ฐ ์‚ฌ๋ก€ (San Diego)
ยฉ Auto-ID Lab Korea / KAIST Slide 13
ISO/IEC Smart Cities โ€“ Open Data
ยฉ Auto-ID Lab Korea / KAIST Slide 14
๋ฐ์ดํ„ฐ ํ…Œํฌ๋†€๋Ÿฌ์ง€๋Š” ์Šค๋งˆํŠธ์‹œํ‹ฐ ์„ฑ๊ณต์˜ ์—ด์‡ 
์˜คํ”ˆ ๋ฐ์ดํ„ฐ
๋ฐ์ดํ„ฐ ๋ถ„์„
ยฉ Auto-ID Lab Korea / KAIST Slide 15
์Šค๋งˆํŠธ์‹œํ‹ฐ ๊ตฌํ˜„์„ ์œ„ํ•œ ํ•ต์‹ฌ ๊ณผ์ œ
โ€ข ์†”๋ฃจ์…˜์˜ ์„ ํƒ
- Soc, ์„ผ์„œ/์•ก์ธ„์—์ดํ„ฐ, ํ†ต์‹ /๋„คํŠธ์›Œํฌ, ํ”Œ๋žซํผ, ๋ฐ์ดํ„ฐ ๋ถ„์„
๋„๊ตฌ ๋“ฑ
- ๊ธฐ์—… ์†”๋ฅ˜์…˜, ์‚ฌ์‹คํ‘œ์ค€, ๊ตญ์ œํ‘œ์ค€
โ€ข ์‚ฐ์—…๊ฐ„/๊ธฐ์—…๊ฐ„ ์‚ฌ๋ฌผ ๋ฐ์ดํ„ฐ์˜ ๊ณต์œ 
- ๋‹ค์–‘ํ•œ ๊ธฐ์—… ์†”๋ฅ˜์…˜, ์‚ฌ์‹คํ‘œ์ค€, ๊ตญ์ œํ‘œ์ค€์˜ ํ™œ์šฉ์œผ๋กœ ์ธํ•œ
์‘์šฉ ๋ฐ์ดํ„ฐ (๊ตํ†ต,์—๋„ˆ์ง€,ํ—ฌ์Šค์ผ€์–ด,ํ™˜๊ฒฝ๋“ฑ) ์˜ ์‚ฌ์ผ๋กœํ™”๋กœ
์ธํ•œ ๊ณต์œ ์˜ ์–ด๋ ค์›€
ยฉ Auto-ID Lab Korea / KAIST Slide 16
[์†”๋ฅ˜์…˜์˜ ์„ ํƒ]
์†”๋ฅ˜์…˜ ์„ ํƒ์˜ ๊ฐ€์ด๋“œ ๋ผ์ธ
- Soc, ์„ผ์„œ/์•ก์ธ„์—์ดํ„ฐ, ์šด์˜์ฒด์ œ, ํ†ต์‹ /๋„คํŠธ์›Œํฌ, ํ”Œ๋žซํผ, ๋ถ„์„ ๋„๊ตฌ ๋“ฑ
- ๊ธฐ์—… ์†”๋ฅ˜์…˜, ์‚ฌ์‹คํ‘œ์ค€, ๊ตญ์ œํ‘œ์ค€
Soc, ์„ผ์„œ/์•ก์ธ„์—์ดํ„ฐ, ์šด์˜์ฒด์ œ ํ†ต์‹ /๋„คํŠธ์›Œํฌ ํ”Œ๋žซํผ, ๋ถ„์„ ๋„๊ตฌ
ยฉ Auto-ID Lab Korea / KAIST Slide 17
IoT (์‚ฌ์‹ค) ํ‘œ์ค€ ๋ฐ ํ”Œ๋žซํผ ์ „์Ÿ (Top 5 ๊ตฌ๊ธ€๊ฒ€์ƒ‰)
ยฉ Auto-ID Lab Korea / KAIST Slide 18
Friend & Neutral & Enemy?
ยฉ Auto-ID Lab Korea / KAIST Slide 19
์†”๋ฅ˜์…˜ ์„ ํƒ์‹œ ๊ณ ๋ ค ์‚ฌํ•ญ
๏‚ง (์‚ฌ์‹ค) ๊ตญ์ œ ํ‘œ์ค€์˜ ๋ฏธ๋ž˜ ์ƒํƒœ๊ณ„ ์„ฑ๊ณต ๊ฐ€๋Šฅ์„ฑ ์˜ˆ์ธก
๏‚ง ๊ธ€๋กœ๋ฒŒ ๋งˆ์ผ“ ์—ผ๋‘
๏‚ง ์™„์„ฑ๋„ ๋ฐ ๊ฐœ๋ฐœ ์šฉ์ด์„ฑ
๏‚ง ํƒ€ ๋ถ„์•ผ ํ™•์žฅ์„ฑ ์šฉ์ด
๏‚ง ๋น„์šฉ (์˜คํ”ˆ์†Œ์Šค)
ยฉ Auto-ID Lab Korea / KAIST Slide 20
[์‚ฐ์—…๊ฐ„/๊ธฐ์—…๊ฐ„ ์‚ฌ๋ฌผ ๋ฐ์ดํ„ฐ์˜ ๊ณต์œ ]
(IoT ์˜ˆ์ œ 1) ์ปค๋„ฅํ‹ฐ๋“œ ์ž๋™์ฐจ (VW, HP)
ยฉ Auto-ID Lab Korea / KAIST Slide 21
[์‚ฐ์—…๊ฐ„/๊ธฐ์—…๊ฐ„ ์‚ฌ๋ฌผ ๋ฐ์ดํ„ฐ์˜ ๊ณต์œ ]
(IoT ์˜ˆ์ œ 2) ํ—ฌ์Šค์ผ€์–ด (Withings)
ยฉ Auto-ID Lab Korea / KAIST Slide 22
[์‚ฐ์—…๊ฐ„/๊ธฐ์—…๊ฐ„ ์‚ฌ๋ฌผ ๋ฐ์ดํ„ฐ์˜ ๊ณต์œ ]
๋„์ „๊ณผ์ œ
โ€ข ์ฐจ๋Ÿ‰์˜ ์„ผ์„œ ๋ฐ์ดํ„ฐ
[Volkswagen, ๋…์ผ]
์™€
์„ธ๋ช… ์šด์ „์ž์˜ ์‹ฌ๋ฐ•์ˆ˜,
์กธ๋ฆผ์ƒํƒœ, ํ”ผ๋กœ๋„๋“ฑ
์ƒ์ฒด ์‹ ํ˜ธ [Withing, ํ”„
๋ž‘์Šค]
๋ฅผ ํ•จ๊ป˜ ๋ถ„์„ํ•˜๊ณ  ์‹ถ๋‹ค๋ฉด?
(Question)
ยฉ Auto-ID Lab Korea / KAIST Slide 23
๋ฐ์ดํ„ฐ๊ณต์œ  ์ธํ”„๋ผ ๊ธฐ๋ฐ˜์˜ ์‚ฌ๋ฌผ์ธํ„ฐ๋„ท ์œตํ•ฉ
- ์Šค๋งˆํŠธ ์‹œํ‹ฐ ์‘์šฉ ๋ฐ์ดํ„ฐ ์œตํ•ฉ -
์ œ 3 ์ž ์‘์šฉ ๋ฐ
์„œ๋น„์Šค๋ฅผ ์œ„ํ•œ
์˜คํ”ˆ ์ƒํƒœ๊ณ„ ๊ตฌ์ถ•
ยฉ Auto-ID Lab Korea / KAIST Slide 24
In 1999, the Internet of Things" was first
coined by Kevin Ashton who cofounded
the Auto-ID Center(Labs) at the MIT
GS1 (International Non Profit Organization)
http://gs1.org
155๊ฐœ ๊ตญ๊ฐ€ MO, 1,500๋งŒ ๊ธฐ์—… ๋ฉค๋ฒ„
์œ ํ†ต๋ฌผ๋ฅ˜, E-commerce, ์‚ฌ๋ฌผ์ธํ„ฐ๋„ท ๋ถ„์•ผ์˜ ITU ๊ฐ™์€ ์กด์žฌ
ยฉ Auto-ID Lab Korea / KAIST Slide 25
GS1 (International Non Profit Organization)
Main GS1 Industries in Focus
EU 1169/2011 ํ‘ธ๋“œ ๋ฒ•์•ˆ
ยฉ Auto-ID Lab Korea / KAIST Slide 26
GS1 ์ฒ ๋„ ์‚ฐ์—… (์‚ฌ๋ฌผ ์ธํ„ฐ๋„ท ์‘์šฉ)
ยฉ Auto-ID Lab Korea / KAIST Slide 27
GS1 Philosophy and Internet of Things
Humans and things
ยฉ Auto-ID Lab Korea / KAIST Slide 28
We remodel GS1 Architecture for IoT
ยฉ Auto-ID Lab Korea / KAIST Slide 29
Lifecycle Monitoring and Management, Thatโ€™s all
[์ž๋™์ฐจ์˜ ์ „์ƒ์•  ๋ฐ์ดํ„ฐ ํ‘œ์ค€ ์ˆ˜์ง‘ ๋ฐ ๊ณต์œ ]
[์˜๋ฃŒ๊ธฐ๊ธฐ์˜ ์ „์ƒ์•  ๋ฐ์ดํ„ฐ ํ‘œ์ค€ ์ˆ˜์ง‘ ๋ฐ ๊ณต์œ ]
ยฉ Auto-ID Lab Korea / KAIST Slide 30
GS1/EPCglobal Standards
์‚ฌ๋ฌผ์ธํ„ฐ๋„ท ์˜คํ”ˆ ์†Œ์Šค ํ”Œ๋žซํผ Oliot
Applications
Manufacturer Distributor Retailer
Product info.
โ€ข Technical spec.
โ€ข Warranty spec.
โ€ข Instruction manual
โ€ข etc.
Product history
โ€ข Genuine or Imitation
โ€ข Freshness
โ€ข Where this is from?
โ€ข Etc.
Manufacturer
EPCIS server
Productquery
Korea
JapanChina
Taiwan
Australia
USA
Brazil
Switzerland
England
Object Name Service
(ONS) Server
ONS query
EPC
Information
Service
repository
Filtering
&Collection
middleware
Capturing Applications
DS query
Application
Real-time feedback
Smart
RFID
reader
Discovery Service (DS)
EPCIS
ALE
ONS DS
ยฉ Auto-ID Lab Korea / KAIST Slide 31
(์˜ˆ) EPCIS Standard
โ€ข EPC Information
Service (EPCIS)
โ€ข to enable disparate
applications to create
and share visibility
event data, both
within and across
enterprises, enabling
users to gain a shared
view of physical or
digital objects within a
relevant business
context
ยฉ Auto-ID Lab Korea / KAIST Slide 32
GS1 ์ฒ ๋„ ์‚ฐ์—… (์‚ฌ๋ฌผ ์ธํ„ฐ๋„ท ์‘์šฉ)
ยฉ Auto-ID Lab Korea / KAIST
Slide 33
Open Language for the Internet of Things
http://oliot.org
GS1 ๊ณต์‹ ๊ตญ์ œํ‘œ์ค€ ์˜คํ”ˆ์†Œ์Šค
(์•„ํŒŒ์น˜ ํ”„๋กœ์ ํŠธ ์ตœ์ข… ๋ผ์ด
์„ผ์Šค)
GS1 ์ตœ์‹  ํ‘œ์ค€ ๋ฐ IoT ์„ ํ–‰
์—ฐ๊ตฌ ๋ฐ ํ‘œ์ค€ ๊ตฌํ˜„
Auto-ID Labs, KAIST ๊ตฌํ˜„ ๋‹ด
๋‹น
Oliot 1.0 / 2014๋…„ 6์›”
Oliot 1.1 / 2015๋…„ 5์›”
Oliot 2.0 / 2016๋…„ 2์›” ์˜ˆ์ •
ยฉ Auto-ID Lab Korea / KAIST Slide 34
Oliot Project I. Smart Agriculture and Food Safety
Systems (Guardian Project) โ€“ ๋ฏธ๋ž˜๋ถ€ ๊ณผ์ œ
GS1 ๊ตญ์ œ ํ‘œ์ค€ ๊ธฐ๋ฐ˜์˜ ๋†์ถ•์ˆ˜์‚ฐ๋ฌผ ์ •๋ณด ํ‘œ์ค€ํ™” ๋ฐ ์ด๋ฅผ ํ†ตํ•œ ๊ท ํ˜•์ƒ์‚ฐ, ํˆฌ๋ช…์œ ํ†ต,
์•ˆ์ „์†Œ๋น„๋ฅผ ์ œ๊ณตํ•˜๋Š” ๋†์ถ•์‚ฐํด๋ผ์šฐ๋“œ ์›์ฒœ๊ธฐ์ˆ  ๋ฐ ์‘์šฉ์„œ๋น„์Šค์˜ ๊ฐœ๋ฐœ์„ ๋ชฉํ‘œ๋กœ ํ•จ
ยฉ Auto-ID Lab Korea / KAIST Slide 35
Oliot Project 2. Healthcare Application (Dr. M
Season 2) โ€“ KAIST ๋‚ด๋ถ€๊ณผ์ œ
Health
Monitoring Medical Assistance
DrM Database
2013
2012
2011
Real-time Monitoring Data
Historical Data
DrM Database
Bio Optic
Sensor
Bio Optic
Sensor
Healthcare
Watch
Healthcare
Watch
EEG
biotelemetry
Blood
Pressure
Blood
Pressure
stick-on
Heart Rate Sensor
Virus
Monitoring
Virus
Monitoring
Foot SensorFoot Sensor
Smart SensorsSmart Sensors
ECG SensorECG Sensor
EEG
biotelemetry
stick-on
Heart Rate Sensor
Machine
Learning
Machine
LearningBig AnalyticsBig Analytics
Prediction
Disease
knowledge
(1) Health Monitoring (2) Medical Support
[1] Body Signal
Sensing
[3] IoT Platform & Data Analysis
[4] Disease Analysis &
Estimation
[5] Disease
Knowledge
[2] Low-Power IPv6 Comm.
[6] Business Model
ยฉ Auto-ID Lab Korea / KAIST Slide 36
Oliot Project 3.
Bridge Management (๊ตญํ† ๋ถ€ ๊ณผ์ œ)
Object Naming Service (ONS)
EPC Information Service(EPCIS)
Filtering and Collection (F&C)
2002:8ff8:6a89::8ff8:6a89
2002:8ff8:6a6c::8ff8:6a6c
2002:8ff8:6a87::8ff8:6a87
Data Fusion
Pattern
Recognition Machine
Learning
Embedded Sensor Data
ยฉ Auto-ID Lab Korea / KAIST Slide 37
๊ตญ์ œ ์˜คํ”ˆ ๋ฐ์ดํ„ฐ ๊ธฐ๋ฐ˜์˜ ์Šค๋งˆํŠธ ์‹œํ‹ฐ / ๊ตญ๊ฐ€ 4.0 ์ œ์•ˆ
(GS1, Oliot ์€ ์˜คํ”ˆ ์ปค๋ฎค๋‹ˆํ‹ฐ์ž…๋‹ˆ๋‹ค.)
ํ™˜๊ฒฝ ์˜คํ”ˆ ๋ฐ์ดํ„ฐ
๊ตํ†ต ์˜คํ”ˆ ๋ฐ์ดํ„ฐ
๊ต๋Ÿ‰ ์˜คํ”ˆ ๋ฐ์ดํ„ฐ
์—๋„ˆ์ง€ ์˜คํ”ˆ ๋ฐ์ดํ„ฐ
ํ—ฌ์Šค์ผ€์–ด ์˜คํ”ˆ ๋ฐ์ดํ„ฐ
ยฉ Auto-ID Lab Korea / KAIST Slide 38
๊ฐ์‚ฌํ•ฉ๋‹ˆ๋‹ค.

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Data Technology opens Smart City World

  • 1. ๋ฐ์ดํ„ฐ ํ…Œํฌ๋†€๋Ÿฌ์ง€๋กœ ์—ฌ๋Š” ์Šค๋งˆํŠธ์‹œํ‹ฐ ์„ธ์ƒ ๊น€๋Œ€์˜ 2015๋…„ 12์›” 2์ผ Director, Auto-ID Labs, KAIST Professor, School of Computing, KAIST โ€ข kimd@kaist.ac.kr, http://oliot.org, http://autoidlab.kaist.ac.kr, http://resl.kaist.ac.kr http://autoidlabs.org http://gs1.org
  • 2. ยฉ Auto-ID Lab Korea / KAIST Slide 2 Data Technology ์‹œ๋Œ€์˜ ๋„๋ž˜ ๋งˆ์œˆ(้ฆฌ้›ฒยท51) ์•Œ๋ฆฌ๋ฐ”๋ฐ”๊ทธ๋ฃน ํšŒ์žฅ Asian Leadership Conference ๊ธฐ์กฐ์—ฐ์„ค (2015) "20๋…„๊ฐ„ ์ง€์†๋ผ์˜จ IT(Information Technology)์˜ ์‹œ๋Œ€๊ฐ€ ์ €๋ฌผ๊ณ  ์•ž์œผ๋กœ 30๋…„๊ฐ„ DT(Data Technology) ํ˜๋ช…์— ๊ธฐ๋ฐ˜ํ•œ ์ƒˆ๋กœ์šด ์ธํ„ฐ๋„ท ์‹œ์žฅ์ด ์—ด๋ฆด ๊ฒƒ์ด๋‹ค"
  • 3. ยฉ Auto-ID Lab Korea / KAIST Slide 3 Data Technology ๋ž€? Data Technology ๋Š” (๋น…)๋ฐ์ดํ„ฐ๋ฅผ ์ด์šฉ, (์‹ค์‹œ๊ฐ„) ๋ถ„์„ํ•ด์„œ ๋ฏธ๋ž˜๋ฅผ ์˜ˆ์ธกํ•˜๊ณ  ๊ฐ€์น˜๋ฅผ ์ฐฝ์ถœํ•˜๋Š” ๊ธฐ์ˆ 
  • 4. ยฉ Auto-ID Lab Korea / KAIST Slide 4 ์‚ฌ๋ฌผ์ธํ„ฐ๋„ท ์‹œ๋Œ€์˜ Data Technology๋กœ ์ƒˆ๋กœ์šด ์‹œ์žฅ ์ฐฝ์ถœ (ํ•ญ๊ณต ์‚ฐ์—… ์˜ˆ) http://wikibon.org/wiki/v/Big_Data_in_the_Aviation_Industry http://www.forbes.com/sites/ptc/2014/06/23/will-the-internet-of-things-revolutionize- the-aircraft-industry/ โ˜ž To optimize jet fuel consumption, improve engine efficiency and, in the long term, drastically reduce maintenance costs โ˜ž โ€œBy reviewing real-time data, there is no need to break down an engine every 2,000 hours,โ€ โ€œThis will enable [original equipment manufacturers] to profitably change their business model to contracting for hours of operation, not sales of machines.โ€ โ˜ž GEโ€™s Flight Efficiency Services are helping airlines find efficiencies that can reduce up to 2 percent of their annual fuel bills
  • 5. ยฉ Auto-ID Lab Korea / KAIST Slide 5 ์‚ฌ๋ฌผ์ธํ„ฐ๋„ท ์‹œ๋Œ€์˜ Data Technology๋กœ ์•ˆ์ „ํ•œ ์‚ฌํšŒ ๊ตฌ์ถ• (์Šค๋งˆํŠธ ์‹œํ‹ฐ ์˜ˆ) The image shows the location of 2,396,750 road crashes in Great Britain from 1999 to 2010. Each light point is an individual collision which resulted in a casualty. The intensity of brightness shows where collisions are more frequent.
  • 6. ยฉ Auto-ID Lab Korea / KAIST Slide 6 ์‚ฌ๋ฌผ์ธํ„ฐ๋„ท, ๋น…๋ฐ์ดํ„ฐ, ๊ทธ๋ฆฌ๊ณ  Data Technology โ€œIDC ์— ๋”ฐ๋ฅด๋ฉด, 2020๋…„ 42 ํผ์„ผํŠธ์˜ ๋น…๋ฐ์ดํ„ฐ๊ฐ€ ์‚ฌ๋ฌผ๋กœ ๋ถ€ํ„ฐ ์ƒ์„ฑ๋  ๊ฒƒ์ด๋ผ๊ณ  ํ•จ.
  • 7. ยฉ Auto-ID Lab Korea / KAIST Slide 7 (์‚ฌ๋ฌผ) ์ธํ„ฐ๋„ท [Internet of Things] ์ด๋ž€?
  • 8. ยฉ Auto-ID Lab Korea / KAIST Slide 8 ์‚ฌ๋ฌผ์˜ ์ •์˜? Passive Things Active Things Wireless Sensors/Actuators Smart Devices Consumer Electronics Knowledge
  • 9. ยฉ Auto-ID Lab Korea / KAIST Slide 9 ์Šค๋งˆํŠธ์‹œํ‹ฐ A smart city uses digital technologies or information and communication technologies (ICT) to enhance quality and performance of urban services, to reduce costs and resource consumption, and to engage more effectively and actively with its citizens.
  • 10. ยฉ Auto-ID Lab Korea / KAIST Slide 10 ์Šค๋งˆํŠธ์‹œํ‹ฐ ์‚ฌ๋ก€ (Barcelona)
  • 11. ยฉ Auto-ID Lab Korea / KAIST Slide 11 ์Šค๋งˆํŠธ์‹œํ‹ฐ ์‚ฌ๋ก€ (Tel Aviv)
  • 12. ยฉ Auto-ID Lab Korea / KAIST Slide 12 ์Šค๋งˆํŠธ์‹œํ‹ฐ ์‚ฌ๋ก€ (San Diego)
  • 13. ยฉ Auto-ID Lab Korea / KAIST Slide 13 ISO/IEC Smart Cities โ€“ Open Data
  • 14. ยฉ Auto-ID Lab Korea / KAIST Slide 14 ๋ฐ์ดํ„ฐ ํ…Œํฌ๋†€๋Ÿฌ์ง€๋Š” ์Šค๋งˆํŠธ์‹œํ‹ฐ ์„ฑ๊ณต์˜ ์—ด์‡  ์˜คํ”ˆ ๋ฐ์ดํ„ฐ ๋ฐ์ดํ„ฐ ๋ถ„์„
  • 15. ยฉ Auto-ID Lab Korea / KAIST Slide 15 ์Šค๋งˆํŠธ์‹œํ‹ฐ ๊ตฌํ˜„์„ ์œ„ํ•œ ํ•ต์‹ฌ ๊ณผ์ œ โ€ข ์†”๋ฃจ์…˜์˜ ์„ ํƒ - Soc, ์„ผ์„œ/์•ก์ธ„์—์ดํ„ฐ, ํ†ต์‹ /๋„คํŠธ์›Œํฌ, ํ”Œ๋žซํผ, ๋ฐ์ดํ„ฐ ๋ถ„์„ ๋„๊ตฌ ๋“ฑ - ๊ธฐ์—… ์†”๋ฅ˜์…˜, ์‚ฌ์‹คํ‘œ์ค€, ๊ตญ์ œํ‘œ์ค€ โ€ข ์‚ฐ์—…๊ฐ„/๊ธฐ์—…๊ฐ„ ์‚ฌ๋ฌผ ๋ฐ์ดํ„ฐ์˜ ๊ณต์œ  - ๋‹ค์–‘ํ•œ ๊ธฐ์—… ์†”๋ฅ˜์…˜, ์‚ฌ์‹คํ‘œ์ค€, ๊ตญ์ œํ‘œ์ค€์˜ ํ™œ์šฉ์œผ๋กœ ์ธํ•œ ์‘์šฉ ๋ฐ์ดํ„ฐ (๊ตํ†ต,์—๋„ˆ์ง€,ํ—ฌ์Šค์ผ€์–ด,ํ™˜๊ฒฝ๋“ฑ) ์˜ ์‚ฌ์ผ๋กœํ™”๋กœ ์ธํ•œ ๊ณต์œ ์˜ ์–ด๋ ค์›€
  • 16. ยฉ Auto-ID Lab Korea / KAIST Slide 16 [์†”๋ฅ˜์…˜์˜ ์„ ํƒ] ์†”๋ฅ˜์…˜ ์„ ํƒ์˜ ๊ฐ€์ด๋“œ ๋ผ์ธ - Soc, ์„ผ์„œ/์•ก์ธ„์—์ดํ„ฐ, ์šด์˜์ฒด์ œ, ํ†ต์‹ /๋„คํŠธ์›Œํฌ, ํ”Œ๋žซํผ, ๋ถ„์„ ๋„๊ตฌ ๋“ฑ - ๊ธฐ์—… ์†”๋ฅ˜์…˜, ์‚ฌ์‹คํ‘œ์ค€, ๊ตญ์ œํ‘œ์ค€ Soc, ์„ผ์„œ/์•ก์ธ„์—์ดํ„ฐ, ์šด์˜์ฒด์ œ ํ†ต์‹ /๋„คํŠธ์›Œํฌ ํ”Œ๋žซํผ, ๋ถ„์„ ๋„๊ตฌ
  • 17. ยฉ Auto-ID Lab Korea / KAIST Slide 17 IoT (์‚ฌ์‹ค) ํ‘œ์ค€ ๋ฐ ํ”Œ๋žซํผ ์ „์Ÿ (Top 5 ๊ตฌ๊ธ€๊ฒ€์ƒ‰)
  • 18. ยฉ Auto-ID Lab Korea / KAIST Slide 18 Friend & Neutral & Enemy?
  • 19. ยฉ Auto-ID Lab Korea / KAIST Slide 19 ์†”๋ฅ˜์…˜ ์„ ํƒ์‹œ ๊ณ ๋ ค ์‚ฌํ•ญ ๏‚ง (์‚ฌ์‹ค) ๊ตญ์ œ ํ‘œ์ค€์˜ ๋ฏธ๋ž˜ ์ƒํƒœ๊ณ„ ์„ฑ๊ณต ๊ฐ€๋Šฅ์„ฑ ์˜ˆ์ธก ๏‚ง ๊ธ€๋กœ๋ฒŒ ๋งˆ์ผ“ ์—ผ๋‘ ๏‚ง ์™„์„ฑ๋„ ๋ฐ ๊ฐœ๋ฐœ ์šฉ์ด์„ฑ ๏‚ง ํƒ€ ๋ถ„์•ผ ํ™•์žฅ์„ฑ ์šฉ์ด ๏‚ง ๋น„์šฉ (์˜คํ”ˆ์†Œ์Šค)
  • 20. ยฉ Auto-ID Lab Korea / KAIST Slide 20 [์‚ฐ์—…๊ฐ„/๊ธฐ์—…๊ฐ„ ์‚ฌ๋ฌผ ๋ฐ์ดํ„ฐ์˜ ๊ณต์œ ] (IoT ์˜ˆ์ œ 1) ์ปค๋„ฅํ‹ฐ๋“œ ์ž๋™์ฐจ (VW, HP)
  • 21. ยฉ Auto-ID Lab Korea / KAIST Slide 21 [์‚ฐ์—…๊ฐ„/๊ธฐ์—…๊ฐ„ ์‚ฌ๋ฌผ ๋ฐ์ดํ„ฐ์˜ ๊ณต์œ ] (IoT ์˜ˆ์ œ 2) ํ—ฌ์Šค์ผ€์–ด (Withings)
  • 22. ยฉ Auto-ID Lab Korea / KAIST Slide 22 [์‚ฐ์—…๊ฐ„/๊ธฐ์—…๊ฐ„ ์‚ฌ๋ฌผ ๋ฐ์ดํ„ฐ์˜ ๊ณต์œ ] ๋„์ „๊ณผ์ œ โ€ข ์ฐจ๋Ÿ‰์˜ ์„ผ์„œ ๋ฐ์ดํ„ฐ [Volkswagen, ๋…์ผ] ์™€ ์„ธ๋ช… ์šด์ „์ž์˜ ์‹ฌ๋ฐ•์ˆ˜, ์กธ๋ฆผ์ƒํƒœ, ํ”ผ๋กœ๋„๋“ฑ ์ƒ์ฒด ์‹ ํ˜ธ [Withing, ํ”„ ๋ž‘์Šค] ๋ฅผ ํ•จ๊ป˜ ๋ถ„์„ํ•˜๊ณ  ์‹ถ๋‹ค๋ฉด? (Question)
  • 23. ยฉ Auto-ID Lab Korea / KAIST Slide 23 ๋ฐ์ดํ„ฐ๊ณต์œ  ์ธํ”„๋ผ ๊ธฐ๋ฐ˜์˜ ์‚ฌ๋ฌผ์ธํ„ฐ๋„ท ์œตํ•ฉ - ์Šค๋งˆํŠธ ์‹œํ‹ฐ ์‘์šฉ ๋ฐ์ดํ„ฐ ์œตํ•ฉ - ์ œ 3 ์ž ์‘์šฉ ๋ฐ ์„œ๋น„์Šค๋ฅผ ์œ„ํ•œ ์˜คํ”ˆ ์ƒํƒœ๊ณ„ ๊ตฌ์ถ•
  • 24. ยฉ Auto-ID Lab Korea / KAIST Slide 24 In 1999, the Internet of Things" was first coined by Kevin Ashton who cofounded the Auto-ID Center(Labs) at the MIT GS1 (International Non Profit Organization) http://gs1.org 155๊ฐœ ๊ตญ๊ฐ€ MO, 1,500๋งŒ ๊ธฐ์—… ๋ฉค๋ฒ„ ์œ ํ†ต๋ฌผ๋ฅ˜, E-commerce, ์‚ฌ๋ฌผ์ธํ„ฐ๋„ท ๋ถ„์•ผ์˜ ITU ๊ฐ™์€ ์กด์žฌ
  • 25. ยฉ Auto-ID Lab Korea / KAIST Slide 25 GS1 (International Non Profit Organization) Main GS1 Industries in Focus EU 1169/2011 ํ‘ธ๋“œ ๋ฒ•์•ˆ
  • 26. ยฉ Auto-ID Lab Korea / KAIST Slide 26 GS1 ์ฒ ๋„ ์‚ฐ์—… (์‚ฌ๋ฌผ ์ธํ„ฐ๋„ท ์‘์šฉ)
  • 27. ยฉ Auto-ID Lab Korea / KAIST Slide 27 GS1 Philosophy and Internet of Things Humans and things
  • 28. ยฉ Auto-ID Lab Korea / KAIST Slide 28 We remodel GS1 Architecture for IoT
  • 29. ยฉ Auto-ID Lab Korea / KAIST Slide 29 Lifecycle Monitoring and Management, Thatโ€™s all [์ž๋™์ฐจ์˜ ์ „์ƒ์•  ๋ฐ์ดํ„ฐ ํ‘œ์ค€ ์ˆ˜์ง‘ ๋ฐ ๊ณต์œ ] [์˜๋ฃŒ๊ธฐ๊ธฐ์˜ ์ „์ƒ์•  ๋ฐ์ดํ„ฐ ํ‘œ์ค€ ์ˆ˜์ง‘ ๋ฐ ๊ณต์œ ]
  • 30. ยฉ Auto-ID Lab Korea / KAIST Slide 30 GS1/EPCglobal Standards ์‚ฌ๋ฌผ์ธํ„ฐ๋„ท ์˜คํ”ˆ ์†Œ์Šค ํ”Œ๋žซํผ Oliot Applications Manufacturer Distributor Retailer Product info. โ€ข Technical spec. โ€ข Warranty spec. โ€ข Instruction manual โ€ข etc. Product history โ€ข Genuine or Imitation โ€ข Freshness โ€ข Where this is from? โ€ข Etc. Manufacturer EPCIS server Productquery Korea JapanChina Taiwan Australia USA Brazil Switzerland England Object Name Service (ONS) Server ONS query EPC Information Service repository Filtering &Collection middleware Capturing Applications DS query Application Real-time feedback Smart RFID reader Discovery Service (DS) EPCIS ALE ONS DS
  • 31. ยฉ Auto-ID Lab Korea / KAIST Slide 31 (์˜ˆ) EPCIS Standard โ€ข EPC Information Service (EPCIS) โ€ข to enable disparate applications to create and share visibility event data, both within and across enterprises, enabling users to gain a shared view of physical or digital objects within a relevant business context
  • 32. ยฉ Auto-ID Lab Korea / KAIST Slide 32 GS1 ์ฒ ๋„ ์‚ฐ์—… (์‚ฌ๋ฌผ ์ธํ„ฐ๋„ท ์‘์šฉ)
  • 33. ยฉ Auto-ID Lab Korea / KAIST Slide 33 Open Language for the Internet of Things http://oliot.org GS1 ๊ณต์‹ ๊ตญ์ œํ‘œ์ค€ ์˜คํ”ˆ์†Œ์Šค (์•„ํŒŒ์น˜ ํ”„๋กœ์ ํŠธ ์ตœ์ข… ๋ผ์ด ์„ผ์Šค) GS1 ์ตœ์‹  ํ‘œ์ค€ ๋ฐ IoT ์„ ํ–‰ ์—ฐ๊ตฌ ๋ฐ ํ‘œ์ค€ ๊ตฌํ˜„ Auto-ID Labs, KAIST ๊ตฌํ˜„ ๋‹ด ๋‹น Oliot 1.0 / 2014๋…„ 6์›” Oliot 1.1 / 2015๋…„ 5์›” Oliot 2.0 / 2016๋…„ 2์›” ์˜ˆ์ •
  • 34. ยฉ Auto-ID Lab Korea / KAIST Slide 34 Oliot Project I. Smart Agriculture and Food Safety Systems (Guardian Project) โ€“ ๋ฏธ๋ž˜๋ถ€ ๊ณผ์ œ GS1 ๊ตญ์ œ ํ‘œ์ค€ ๊ธฐ๋ฐ˜์˜ ๋†์ถ•์ˆ˜์‚ฐ๋ฌผ ์ •๋ณด ํ‘œ์ค€ํ™” ๋ฐ ์ด๋ฅผ ํ†ตํ•œ ๊ท ํ˜•์ƒ์‚ฐ, ํˆฌ๋ช…์œ ํ†ต, ์•ˆ์ „์†Œ๋น„๋ฅผ ์ œ๊ณตํ•˜๋Š” ๋†์ถ•์‚ฐํด๋ผ์šฐ๋“œ ์›์ฒœ๊ธฐ์ˆ  ๋ฐ ์‘์šฉ์„œ๋น„์Šค์˜ ๊ฐœ๋ฐœ์„ ๋ชฉํ‘œ๋กœ ํ•จ
  • 35. ยฉ Auto-ID Lab Korea / KAIST Slide 35 Oliot Project 2. Healthcare Application (Dr. M Season 2) โ€“ KAIST ๋‚ด๋ถ€๊ณผ์ œ Health Monitoring Medical Assistance DrM Database 2013 2012 2011 Real-time Monitoring Data Historical Data DrM Database Bio Optic Sensor Bio Optic Sensor Healthcare Watch Healthcare Watch EEG biotelemetry Blood Pressure Blood Pressure stick-on Heart Rate Sensor Virus Monitoring Virus Monitoring Foot SensorFoot Sensor Smart SensorsSmart Sensors ECG SensorECG Sensor EEG biotelemetry stick-on Heart Rate Sensor Machine Learning Machine LearningBig AnalyticsBig Analytics Prediction Disease knowledge (1) Health Monitoring (2) Medical Support [1] Body Signal Sensing [3] IoT Platform & Data Analysis [4] Disease Analysis & Estimation [5] Disease Knowledge [2] Low-Power IPv6 Comm. [6] Business Model
  • 36. ยฉ Auto-ID Lab Korea / KAIST Slide 36 Oliot Project 3. Bridge Management (๊ตญํ† ๋ถ€ ๊ณผ์ œ) Object Naming Service (ONS) EPC Information Service(EPCIS) Filtering and Collection (F&C) 2002:8ff8:6a89::8ff8:6a89 2002:8ff8:6a6c::8ff8:6a6c 2002:8ff8:6a87::8ff8:6a87 Data Fusion Pattern Recognition Machine Learning Embedded Sensor Data
  • 37. ยฉ Auto-ID Lab Korea / KAIST Slide 37 ๊ตญ์ œ ์˜คํ”ˆ ๋ฐ์ดํ„ฐ ๊ธฐ๋ฐ˜์˜ ์Šค๋งˆํŠธ ์‹œํ‹ฐ / ๊ตญ๊ฐ€ 4.0 ์ œ์•ˆ (GS1, Oliot ์€ ์˜คํ”ˆ ์ปค๋ฎค๋‹ˆํ‹ฐ์ž…๋‹ˆ๋‹ค.) ํ™˜๊ฒฝ ์˜คํ”ˆ ๋ฐ์ดํ„ฐ ๊ตํ†ต ์˜คํ”ˆ ๋ฐ์ดํ„ฐ ๊ต๋Ÿ‰ ์˜คํ”ˆ ๋ฐ์ดํ„ฐ ์—๋„ˆ์ง€ ์˜คํ”ˆ ๋ฐ์ดํ„ฐ ํ—ฌ์Šค์ผ€์–ด ์˜คํ”ˆ ๋ฐ์ดํ„ฐ
  • 38. ยฉ Auto-ID Lab Korea / KAIST Slide 38 ๊ฐ์‚ฌํ•ฉ๋‹ˆ๋‹ค.