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Oliot (Open Language for
Internet of Things)
Open Source Project
Daeyoung Kim
Director of Auto-ID Labs, KAIST Sep. 17, 2014
Auto-ID Labs, KAIST
Dept. of Computer Science, KAIST
• [email protected], http://oliot.org, http://autoidlab.kaist.ac.kr, http://resl.kaist.ac.kr http://autoidlabs.org http://gs1.org
© Auto-ID Lab Korea / KAIST
Slide 2
Oliot is looking at … positioning at …
© Auto-ID Lab Korea / KAIST
Slide 3
History of the IoT
http://postscapes.com/internet-of-things-history
© Auto-ID Lab Korea / KAIST
Slide 4
http://postscapes.com/internet-of-things-history
History of the IoT
© Auto-ID Lab Korea / KAIST
Slide 5
Auto-ID Labs
Business Processes
and Applications
Software and Network
Hardware
http://autoidlabs.org
© Auto-ID Lab Korea / KAIST
Slide 6
GS1 (Global Standard One) - strong partnership with Auto-ID Labs
CTO, GS1 (2012 - ) Former CEO of W3C, WWW Foundation SCM to Web and Consumers
http://gs1.org
© Auto-ID Lab Korea / KAIST
Slide 7
Why GS1 based IoT platform is necessary?
“My experiences and what I learnt from” “Auto-ID Labs, KAIST and GS1’s Approach toward Internet of Things?”
© Auto-ID Lab Korea / KAIST
Slide 8
My Experiences in Wireless Sensor Networks: Military Surveillance and Reconnaissance (2008)
© Auto-ID Lab Korea / KAIST
Slide 9
My Experiences in Wireless Sensor Networks: Parking Guidance System (2009)
© Auto-ID Lab Korea / KAIST
Slide 10
All my experiences say “Integration” + “Interoperability”
Microscopic Weather Monitoring
(2005-2006)
HANLA Mountain Peak
National Park
Guard Office Jeju University
Seoul
Jeju
PusanGwangju
Daegu
Daejeon
Suwon
ICU
Control
Centre
KOREN
WSN Deployment
Jeju IslandJeju Island
Display Video StreamingDisplay Sensor Information
ICU Computer
Centre
KOREN router
IPv6 Switch
To
Internet
Display Server 1Display Server 2
Web
Server
Main
Server
Sensor Nodes
447Mhz /
910Mhz
Sensor Sub-Network
Sensor
Sub-networks
National Park
Guard Office
Peak
Mountain
Hostel
SN Sub-Base
Stations
Sub-Base
Station
Camera
Climber’s Path
PCS Base
Station1st Year:1.6 GHz
CDMA
KTF wired
Network
To ICU
(KOREN)
Ipv6
(Fiber)
Jeju University
To Jeju
University
(KOREN)
HALLA Mountain
ICU Control Center
IPv6 Tunneling
Server
Main Base
Station
Internet
KTF Internet
Gateway
2nd Year: KOREN Optical Cable
Fire Monitoring (2006) Greenhouse Monitoring (2005)
Sensor node S/N-1 S/N-2
S/N-3 S/N-4 S/N-5
S/N-6
S/N-7
Flood Monitoring /
Disaster Management (2007) School Zone / ITS Applications
(2008-2009)
Defense / Army
Surveillance(2008-2009)
© Auto-ID Lab Korea / KAIST
Slide 11
How to build Internet of Things Platform? (Integration/Interoperability at its heart)
© Auto-ID Lab Korea / KAIST
Slide 12
Internet of Things – Which is right direction?
© Auto-ID Lab Korea / KAIST
Slide 13
Internet of Things – Which is right direction?
© Auto-ID Lab Korea / KAIST
Slide 14
Internet of Things – Which is right direction?
© Auto-ID Lab Korea / KAIST
Slide 15
The Road to Internet of Things
Positioning Baseline Infrastructure
© Auto-ID Lab Korea / KAIST
Slide 16
Hope that GS1 in Rome
© Auto-ID Lab Korea / KAIST
Slide 17
GS1 Philosophy and Internet of Things
Humans and things
© Auto-ID Lab Korea / KAIST
Slide 18
GS1 a long time ago …
© Auto-ID Lab Korea / KAIST
Slide 19
GS1 Member Organizations
© Auto-ID Lab Korea / KAIST
Slide 20
GS1 - Essentials
© Auto-ID Lab Korea / KAIST
Slide 21
Regulation EU No 1169/2011 Food Information Regulation
© Auto-ID Lab Korea / KAIST
Slide 22
• Food Safety Modernization Act (FSMA) was signed on January 4, 2011and aims to ensure the U.S. food supply is safe by shifting the focus from responding to contamination to preventing it
• Foodborne illness is a significant burden
• About 48 million (1 in 6 Americans) get sick each year
• 128,000 are hospitalized
• 3,000 die
Food Safety Modernization Act (FSMA)
http://www.fda.gov/Food/GuidanceRegulation/FSMA/ucm247546.htm
© Auto-ID Lab Korea / KAIST
Slide 23
GS1 – UDI Code for Medical Devices
© Auto-ID Lab Korea / KAIST
Slide 24
Toward GS1 Internet of Things Platform We will cover bellows, but not limited
Passive Things Active Things Wireless Sensors/Actuators
Smart Devices
Consumer Electronics
Knowledge
© Auto-ID Lab Korea / KAIST
Slide 25
Internet of Things Conceptual Architecture Oliot’s Model
• Three Musketeers; One for All, and All for One
Future IT Eco-System
Human Information
Thing Information
Context-aware
Services
Social Network Service
M2M networking of
Home Devices
Internet Browsing
Entertainment
(Multimedia & Game)
Home Surveillance
Augmented Reality
Big DataAnalysis
Cloud Computing
Internet of Things
Cloud Computing
Internet of Things
User log, Business
activity logs, etc.
Internet contents,
SNS, etc.
Everyday objects Multimedia (video,
audio), etc.
Social Network Service for IoT
© Auto-ID Lab Korea / KAIST
Slide 26
Identification: Key for Interoperability and integration
How to reach a single instance?
How to name all of them?
Outnumbered? Global access!
Heterogeneity Ambiguity
© Auto-ID Lab Korea / KAIST
Slide 27
GS1/EPCglobal Standards which Oliot stems from
• Current GS1 SYSTEM OF STANDARDS
© Auto-ID Lab Korea / KAIST
Slide 28
GS1/EPCglobal Standards which Oliot stems from
• Integrating Data Carriers (IoT devices) to Business (IoT) Applications
• Enabled by code systems • Global Product Classification (GPC)
• GS1 Keys
• Electronic Product Code (EPC)
© Auto-ID Lab Korea / KAIST
Slide 29
GS1/EPCglobal Standards GS1 Keys
• GS1 Identification Keys • URI-convertible ID (GTIN, GLN, SSCC, GRAI, etc)
• e.g., urn:epc:id:sgtin:0614141.112345.400
Digital Coupon Management (Serialized) Global Coupon Number (SGCN)
Component / Part Management Component / Part Identifier (CPID)
© Auto-ID Lab Korea / KAIST
Slide 30
GS1/EPCglobal Standards GS1 Keys
• GLN, GTIN, and SSCC
© Auto-ID Lab Korea / KAIST
Slide 31
GS1/EPCglobal Standards GS1 Keys
• GRAI (Global Returnable Asset Identifier)
• used to identify returnable assets, re-usable packages, or transport equipment, such as a tray, pallet, or beer keg.
• the asset being used for the purpose of tracking its location and return.
• as part of a lease or rental system.
• GIAI (Global Individual Asset Identifier)
• e.g., office equipment, transport equipment, IT equipment, vehicles, etc.
• GSRN (Global Service Relation Number)
• e.g., club membership, loyalty programmes, a patient in a hospital, or employees
ECG measurement device (GRAI) Membership ID (GSRN)
Patient ID in hospital
(GSRN) Surgical tools (GIAI)
© Auto-ID Lab Korea / KAIST
Slide 32
GS1/EPCglobal Standards Global Product Classification (GPC)
• Global Product Classification (GPC) • http://www.gs1.org/1/productssolutions/gdsn/gpc/browser/index.html
© Auto-ID Lab Korea / KAIST
Slide 33
GS1/EPCglobal Standards Application Identifier
• Application Identifier (AI) • a two, three, or four digit numeric Prefix
in front of the data
• to tell what the data means
© Auto-ID Lab Korea / KAIST
Slide 34
GS1/EPCglobal Standards GS1 Keys
• Digital Coupon Management (Global Coupon Number)
© Auto-ID Lab Korea / KAIST
Slide 35
GS1/EPCglobal Standards GS1 Keys
• The Component / Part Identifier (CPID) • enables companies to identify components and parts, typically where
an Original Equipment Manufacturer (OEM) defines the specifications of a component or part that is part of its final product
© Auto-ID Lab Korea / KAIST
Slide 36
GS1/EPCglobal Standards Electronic Product Code (EPC)
• EPC • universal identifier that provides a unique identity for any physical
object
© Auto-ID Lab Korea / KAIST
Slide 37
GS1/EPCglobal Standards GS1/EPCglobal Architectural Framework
© Auto-ID Lab Korea / KAIST
Slide 38
GS1/EPCglobal Standards GS1/EPCglobal Architectural Framework
Identification
& sensing
Data filtering
& grouping
Data store and
share
Item Discovery &
Information search
GS
1 E
lem
en
t S
trin
g
01
80
61
41
41
12
345
821
678
9
© Auto-ID Lab Korea / KAIST
Slide 39
GS1/EPCglobal Standards GS1/EPCglobal Architectural Framework with Supply Chain Example
• Electronic Product Code (EPC) and EPC networks
Applications
Manufacturer Distributor Retailer
Product info.• Technical spec.
• Warranty spec.
• Instruction manual
• etc.
Product history
• Genuine or Imitation
• Freshness
• Where this is from?
• Etc.
Manufacturer EPCIS server
Pro
duct q
uery
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)
© Auto-ID Lab Korea / KAIST
Slide 40
Eg.) Extending EPCIS (EPC Information Service) Internet of Things Global Data Repository
Everyday Object
TDS – Unification of GS1 Codes
Attaching
EPC Tag
Attaching
Bar Code
RFID Reader & Antenna
Barcode Reader
ALE – Event Capturing
EPCIS – Visibility Event Data
Capturing Interface
Query Interface
Business Apps.
© Auto-ID Lab Korea / KAIST
Slide 41
Eg.) Extending EPCIS (EPC Information Service) Internet of Things Global Data Repository
RFID Reader
& Antenna
Everyday
Object
EPCIS for IoT
RFID
Tag
IoT Devices Support
Environmental
Sensor Medical Device Healthcare Device Smart Appliance
Gateway Server Mobile Device
Event
Processing
EPCIS Event Sensor Event, Medicare Event, …
© Auto-ID Lab Korea / KAIST
Slide 42
Eg.) Extending EPCIS (EPC Information Service) Internet of Things Global Data Repository
• Extended Event for IoT in a case of Medical/Healthcare • Complying EPCglobal Standard
• Supporting various sensor devices
EEG
Blood Pressure
ECG
BreathingGlucometerOxygen
Static/Medical Sensors
Accelerometer
Skin Response Temperature
Mobile/Healthcare Sensors
Wristband Headset
ScaleChestband
Oliot Distributed Storage
Need! Extended Event with Extended Voc.
© Auto-ID Lab Korea / KAIST
Slide 43
• Open Language for IoT (Oliot) is an ID-based IoT framework.
• Based on GS1 standard ID (e.g., URI-convertible GTIN)
• Goal • Is to build a ID-based framework
to identify, capture, control and share information about smart things
Open Language for the Internet of Things
Passive Tags
(e.g., passive
tags, barcode)
Sensor & Actuator Networks(e.g., ZigBee, 6LoWPAN, Mobile phone, BLE,
AllJoyn, lwM2M etc.)
Active Tags (e.g.,
Wireless ID and Sensor
Networks)
RFID Middleware
LLRP LLRP Sensor & actuator protocols Sensor & actuator protocols
Domain-specific capturing application
Domain-specific accessing applications
Sensor Interface
Sensor interface
EPC Information Service
(static and dynamic information)
ALE
Actuation Interface
Sensor & Actuator Middleware
Object
Name
Service
Discovery
Service
ZigBee6LoWPAN/
CoAPMQTT
Web
service-*REST
Other
Comm.
RFID stream processing
Logical RFID
reader
Reader
Management
Sensor stream
processing
Sensor & actuator
Management
ID-Sensor stream
processing
© Auto-ID Lab Korea / KAIST
Slide 44
Oliot Scope Smart Things’ Control & Data Acquisition
• Enabling searches for an item or a class of items that satisfies certain sensor values or
attributes / crawling smart things data
∆t
Sensor stream Processing
& actuation Distributed
Storage
Interacting with
Smart Things Search &
discovery
Se
nso
r tag
(e.g
., Inte
l WIS
P)
e.g., cool juice A Patient with her states
Actuators (e.g.,
appliances)
A bridge with its states
© Auto-ID Lab Korea / KAIST
Slide 45
Oliot Scope Smart Things’ Control & Data Acquisition
• RFID networks • Passive & active tags
• Wireless Identification and Sensor Networks (WISN) • Active tag networks
• Leverage features of Wireless mesh networks
• Sensor and actuator networks • LLRP, CoAP/6LoWPAN, ZigBee, MQTT, etc.
• Hopefully lwM2M, Alljoyn, Thread, Apple Home Kit. Etc.
• LFIN is designed for
RFID Reader
Ant1 Ant2 Ant3
Conventional RFID networks Wireless ID and sensor networks
EPC
EPCEPC
EPC
EPC
EPC EPC
EPC
EPC
Active
tagEPC
Mobilephone sensing Barcode
Passive Tags
(e.g., passive
tags, barcode)
Sensor & Actuator Networks(e.g., ZigBee, 6LoWPAN, Mobile phone, BLE,
AllJoyn, lwM2M etc.)
Active Tags (e.g.,
Wireless ID and Sensor
Networks)
RFID Middleware
LLRP LLRP Sensor & actuator protocols Sensor & actuator protocols
Domain-specific capturing application
Domain-specific accessing applications
Sensor Interface
Sensor interface
EPC Information Service
(static and dynamic information)
ALE
Actuation Interface
Sensor & Actuator Middleware
Object
Name
Service
Discovery
Service
ZigBee6LoWPAN/
CoAPMQTT
Web
service-*REST
Other
Comm.
RFID stream processing
Logical RFID
reader
Reader
Management
Sensor stream
processing
Sensor & actuator
Management
ID-Sensor stream
processing
© Auto-ID Lab Korea / KAIST
Slide 46
• RFID, sensor, and actuator adaptation
• Stream processing
Oliot Scope ID & sensor stream processing
∆t
Sensor stream Processing
& actuation Distributed
Storage
Interacting with
Smart Things Search &
discovery
Complexity of
heterogeneity and
network distribution
∆t
#1441
Door 1
Window 1
Door 2
Window 2
RFID & sensor stream △
Heterogeneous
sensors ▷
© Auto-ID Lab Korea / KAIST
Slide 47
• Object abstraction via Sensor & actuator device framework adaptation
• RFID stream processing & interfaces
• Filtering & Grouping
• RFID data report & management
• Sensor stream processing & interfaces
• Heterogeneous sensor stream adaptation
• Composite sensors streams
Oliot Scope ID & sensor stream processing
Event Stream
filtering & grouping*
Direct interaction
Middleware Abstraction
Complex event processing**
*Source: http://www.cs.duke.edu/~kmoses/cps516/dstream.html
**Source: http://www.12qw.ch/2013/10/streaminsight-cep-2-what-are-cep-and-streaminsight/
Passive Tags
(e.g., passive
tags, barcode)
Sensor & Actuator Networks(e.g., ZigBee, 6LoWPAN, Mobile phone, BLE,
AllJoyn, lwM2M etc.)
Active Tags (e.g.,
Wireless ID and Sensor
Networks)
RFID Middleware
LLRP LLRP Sensor & actuator protocols Sensor & actuator protocols
Domain-specific capturing application
Domain-specific accessing applications
Sensor Interface
Sensor interface
EPC Information Service
(static and dynamic information)
ALE
Actuation Interface
Sensor & Actuator Middleware
Object
Name
Service
Discovery
Service
ZigBee6LoWPAN/
CoAPMQTT
Web
service-*REST
Other
Comm.
RFID stream processing
Logical RFID
reader
Reader
Management
Sensor stream
processing
Sensor & actuator
Management
ID-Sensor stream
processing
© Auto-ID Lab Korea / KAIST
Slide 48
Oliot Scope Smart Thing Information Services
• Diverse types of information for (smart) things / sensor data, event data
∆t
Sensor stream Processing
& actuation Distributed
Storage
Interacting with
Smart Things Search &
discovery
*Source: http://www.sas.com/en_us/insights/big-data/data-visualization.html
Data analysis
Context extraction
Visualization & Interpretation*
Profile
Historical data
© Auto-ID Lab Korea / KAIST
Slide 49
Oliot Scope Smart Thing Information Services
• Historical events data storage • Time-series event data
• ID, location, time, sensor values, etc.
• Static master data storage • Master data for ID interpretation
e.g., GLN id => location (x, y) and address
• Data analysis and visualization • Offline learning with historical data
Time series data Data analysis & visualization Static Master data
Source: http://docs.oracle.com/cd/E13197_01/rfid/enterprise_server/docs20/epcis/master.html
Passive Tags
(e.g., passive
tags, barcode)
Sensor & Actuator Networks(e.g., ZigBee, 6LoWPAN, Mobile phone, BLE,
AllJoyn, lwM2M etc.)
Active Tags (e.g.,
Wireless ID and Sensor
Networks)
RFID Middleware
LLRP LLRP Sensor & actuator protocols Sensor & actuator protocols
Domain-specific capturing application
Domain-specific accessing applications
Sensor Interface
Sensor interface
EPC Information Service
(static and dynamic information)
ALE
Actuation Interface
Sensor & Actuator Middleware
Object
Name
Service
Discovery
Service
ZigBee6LoWPAN/
CoAPMQTT
Web
service-*REST
Other
Comm.
RFID stream processing
Logical RFID
reader
Reader
Management
Sensor stream
processing
Sensor & actuator
Management
ID-Sensor stream
processing
© Auto-ID Lab Korea / KAIST
Slide 50
Oliot Scope Object Name Service
• Product and devices (i.e., Smart Things) Information
∆t
Sensor stream Processing
& actuation Distributed
Storage
Interacting with
Smart Things Search &
discovery
© Auto-ID Lab Korea / KAIST
Slide 51
Oliot Scope Object Name Service
Manual Service Object Name Service
(ONS)
manual
html
epcis
…
Passive Tags
(e.g., passive
tags, barcode)
Sensor & Actuator Networks(e.g., ZigBee, 6LoWPAN, Mobile phone, BLE,
AllJoyn, lwM2M etc.)
Active Tags (e.g.,
Wireless ID and Sensor
Networks)
RFID Middleware
LLRP LLRP Sensor & actuator protocols Sensor & actuator protocols
Domain-specific capturing application
Domain-specific accessing applications
Sensor Interface
Sensor interface
EPC Information Service
(static and dynamic information)
ALE
Actuation Interface
Sensor & Actuator Middleware
Object
Name
Service
Discovery
Service
ZigBee6LoWPAN/
CoAPMQTT
Web
service-*REST
Other
Comm.
RFID stream processing
Logical RFID
reader
Reader
Management
Sensor stream
processing
Sensor & actuator
Management
ID-Sensor stream
processing
© Auto-ID Lab Korea / KAIST
Slide 52
Pilot Testbed Plan for Federated ONS
Korea
Japan China
Taiwan
Australia
USA
Brazil
Switzerland
England
Sunchon Univ.
GS1 Korea
Samsung
KAIST
Local ONS Name Servers
onsepc.kr
Globally Federated ONS Peer Roots
© Auto-ID Lab Korea / KAIST
Slide 53
Oliot Scope Discovery Service
• Search for product history
• Search for retailer locations which sell the desired EPC products.
∆t
Sensor stream Processing
& actuation Distributed
Storage
Interacting with
Smart Things Search &
discovery
Supply chain
1km
Nearby product discovery
© Auto-ID Lab Korea / KAIST
Slide 54
Oliot Scope Discovery Service
• Search for any smart things with ID
• To search for items with given attribute information
• Federated architecture for scalable discovery
Discovery Service
ONS
Client
EPCIS A EPCIS B EPCIS C
Query DS address
Use API
Query location information
Register location Information
KAIST Discovery Service
ONS
Client
Query fo
r addre
ss of
DS
Addre
ss of
DS
My lost thing
Passive Tags
(e.g., passive
tags, barcode)
Sensor & Actuator Networks(e.g., ZigBee, 6LoWPAN, Mobile phone, BLE,
AllJoyn, lwM2M etc.)
Active Tags (e.g.,
Wireless ID and Sensor
Networks)
RFID Middleware
LLRP LLRP Sensor & actuator protocols Sensor & actuator protocols
Domain-specific capturing application
Domain-specific accessing applications
Sensor Interface
Sensor interface
EPC Information Service
(static and dynamic information)
ALE
Actuation Interface
Sensor & Actuator Middleware
Object
Name
Service
Discovery
Service
ZigBee6LoWPAN/
CoAPMQTT
Web
service-*REST
Other
Comm.
RFID stream processing
Logical RFID
reader
Reader
Management
Sensor stream
processing
Sensor & actuator
Management
ID-Sensor stream
processing
© Auto-ID Lab Korea / KAIST
Slide 55
Fosstrak Open Source for GS1/EPCglobal Framework (2007)
https://code.google.com/p/fosstrak/
© Auto-ID Lab Korea / KAIST
Slide 56
• Smart Thing Information Service (STIS) since 2005, 2011
• Expand GS1 EPCglobal Network to integrate various sensor network protocols
• Successor of EPC Sensor Network
• ZigBee, 6LoWPAN/CoAP/Obix integration
• Complex Event Processing, etc.
Oliot (Spin-off project from Fosstrak) (Open Language for Internet of Things)
Oliot will integrate EPC Sensor Network and STIS together with other protocols like Alljoyn, lwM2M, etc. and released later
© Auto-ID Lab Korea / KAIST
Slide 57
• GS1 EPCglobal Network on the Cloud for Groceries Trace Framework since 2013
• Complete Implementation of GS1 EPCglobal Network
• EPCIS Enhanced with NOSQL DB
• Cloud Support
• ELFIN: Enhanced LLRP- enablingFramework for the INternet of Things
• Geo-discovery Service
• ONS 2.0.1 implemented
• Sponsored by Samsung
Oliot (Open Language for Internet of Things)
© Auto-ID Lab Korea / KAIST
Slide 58
What Oliot stands for?
[transparent]
[white]
© Auto-ID Lab Korea / KAIST
Slide 59
Oliot Open Source & Community Project (released on July 7, 2014, http://oliot.org)
• We are looking for collaborators:
• developing open sources together such as GS1 source, GS1 digital, Alljoyn, oneM2M, SAMI, Apple Healthkit/Homekit, MQTT, Thread, etc.
• companies who do business with our oliot project
• architecting IoT world including food SCM and safety systems, healthcare/medicare, retail systems, and etc.
http://oliot.org • July 7 2014 – oliot 1.0 (latest
implementation of EPCglobal framework, run on any cloud and supporting mysql and cassandra)
• 4Q 2014 – oliot 1.1 (provide EPCIS 1.1, strengthened to support food industry)
• 2015 – oliot 2.0 (support internet of things, merging auto-id lab, KAIST’s Epc sensor network, STIS and more)
© Auto-ID Lab Korea / KAIST
Slide 60
(CASE STUDY I) Healthcare Application - KAIST Dr. M Project
DrM Database
20132012
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-onHeart Rate Sensor
Virus Monitoring
Virus Monitoring
Foot SensorFoot Sensor
Smart SensorsSmart Sensors
ECG SensorECG Sensor
EEG biotelemetry
stick-onHeart Rate Sensor
Machine LearningMachine LearningBig AnalyticsBig Analytics
Prediction
Disease knowledge
Sensors Communications, IoT Platform
Analysis Prediction
Discover Knowledge
FDA/GS1 UDI
Health Monitoring
Medical Assistance
© Auto-ID Lab Korea / KAIST
Slide 61
(CASE STUDY II) Smart Agriculture and Food Safety Systems Pilot Project
© Auto-ID Lab Korea / KAIST
Slide 62
(CASE STUDY III) Bridge Management
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
© Auto-ID Lab Korea / KAIST
Slide 63
Thank you!