arpan pal tac tics2012
TRANSCRIPT
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TCS Research Scholar Program
Topic - Intelligent Infrastructure: Applications and Technology
Speaker -Arpan Pal (Head, Innovation Lab, Kolkota)
4th May 2012
HOTEL TAJ PALACE, NEW DELHI
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Intelligent Infrastructure
Sense
Extract
Analyze
Respond
Learn
Monitor
Platfo
rm
ResearchVer
tica l
Ap p
s
• Transportation• Electricity / Water• Buildings / Home / Campus / Store• Automotive• Agriculture• Healthcare• Government
• Sensor Signal Processing and Informatics• M2M Communication• Cyber-physical Systems Modeling• Analytics• Platform Performance and Scalability
• Service Level APIs and SDK• Integration Interfaces• Development Framework
IntelligentInfra
@Home
@Building
@Vehicle@Utility
@Mobile
@Store
@Road
“Intelligent” “Infrastructure”
APPLICATION SERVICESBACK-END PLATFORM
INTERNET
GATEWAY
Internet-of-Things (IoT)
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Integrated Platform for Intelligent Infrastructure
People Feedback & Emotions
Social Media
Integrated Services
Sensors & IoTPlatform
Traditional Monitoring & Control Systems Citizen Data
Smart Integration Platform
Transportation Healthcare Electricity
WaterPublic Safety Tourism
Smart Integrated Services
Sense
Analyze
Extract
Respond
Intelligence
Smart Domain Services
Community
etc.
Sense: People Activity, Appliances, Vehicles , Road, Home/Bldg, Utility Infrastructure
Detect gas leakage/water contamination : mobilize rescue team, suggest optimum route
Divert Road Traffic in case of Water Pipeline Burst
Correlate Electricity/Water /Gas consumption patterns
Intelligent Integration Platform
Integrated Intelligent Services
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Research Areas
• Modeling of Cyber physical Systems
• Back-end Analytics Toolbox
• Web as a Soft Sensor for Intelligence
Communication
AnalyticsData Collection
• Protocols• Identity Mgmt.• M2M Comm.• Security and
Privacy
• Device Management & Monitoring
• Sensor Observation, Event and Management Services
• Sensor Signal Processing and Informatics
Storage & Systems
• Low-cost Storage• Distributed Query
Processing• Big Data Support• Object Store
Middleware
Modeling and AnalyticsPerformance and ScalabilityContext Extraction
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Research Challenges
Challenges• Reducing the cost of Communication• Preserving the Battery power• Extracting information from ambient-noise-corrupted sensor
data• Multi-sensor fusion and analytics, sometimes in real-time• Preserving the Privacy
Solution Approach•Edge processing (sensor, audio, image, video) for context extraction
addresses the information extraction, cost of communication, privacy and battery power preservation issue
•Lightweight communication protocols over Internet addresses the cost of communication and battery power
preservation issue
•Algorithms for real-time analytics addresses the real-time multi-sensor fusion and analytics issue
•Privacy framework for sensor data with access control and authentication
addresses the security and privacy issue
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Research Focus – Sensor Data Collection
•Partner with established players providing sensors and gateways
•Open-Geospatial Consortium (OGC) based sensor data acquisition, storage and management
• Sensor Observation Service (SOS)• Sensor Event Service (SES)• Sensor Planning Service (SPS)
• Device Management – Integrate sensor provider solutions
• Sensor Signal Processing and Informatics• Sensor / microphone / camera / biosensor
processing for constrained platforms• Intelligent Sensing• Sensing for Human-centric Computing• Signal Source Separation and data disaggregation
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Research Focus – Storage and Systems
•Large-scale Sensor Data Storage• Affordable yet reliable• Open source based Q0S controlled solution
•Distributed Query Processing• Handling large and complex queries
•Big Data Support• Hadoop – Map-reduce• Efficient Databases 0 RDBMS and Key-value
Stores
• Object Store• Efficient Storage Blobs for large files• Linked to Metadata for efficient query
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Research Focus – Analytics
•Back-end Analytics• Streams Processing, Complex Event
Processing and Streams Reasoning• Hierarchical Task Network based Planning• Non-parametric Statistical Data Processing
•Modeling of Cyber-physical Systems• Model-driven Sensor Data Interpretation
and Analytics• Model-driven design space exploration for
Sensors
•Web as a Soft Sensor for Intelligence• Sensor-assisted Social Network and Web
mining for Intelligence (Optra and Listening Platform)
• Using Social Network Structure for Co-operative Sensing
• Television-Web Mash-ups
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Research Focus – Communication
•Protocols• Lightweight yet Reliable Protocols for delivery over
Internet
•Identity Management• Ubiquitous Identity of Things
•M2M Communications• Error-control Coding for Robustness• Secure M2M• Upper-audio band Communication
•Privacy Preservation• Access-Control Framework• Data Masking (Safemask)
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Platform Architectural Layers
Internet
End Users & Renderers
Administrators
Device Integration & Management Services
Analytics Services
Application Services
Storage
Messaging & Event Distribution Services
Ap
plic
ati
on
Serv
ices
Presentation Services
Application Support Services
OS & Device Drivers
Edge Middleware
Analytics Persistence
Application Services
Mid
dle
ware
(S
ecu
rity
/Pri
vacy
and P
roto
cols
)
Gateway
Sensors
Internet
Back-end
RIPSAC – Real-time Integrated Platform for Services & Analytics in Cars / Cities
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Platform Use Cases
Internet
Inte
rnetInte
rnet
Sensor Services
Analytics
StorageServices
RIPSAC Platform
App Developers
PaaS Provider
End User
Sensors
Sensor Providers
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Intelligent Campus – Bus Fleet, Night Car Fleet, Parking Lot
Sensor Interface Services
Storage & Database Services
Analytics Services
RIPSAC + Apps
iDigi M2m Cloud
Bus Tracking System
Parking Management
Cab & Passenger Tracking
Reports & Alerts
Location ( GPS), Speed, Accelerometer, Passenger Ids
Valid passenger lists, Route Info
Images / video feeds of entry & exit ramps of underground parking lots
Images of cab registration number, Passenger Ids
Being deployed in TCS Campus at Siruseri, Chennai that houses 25000 people
Project Partners: Sensor Gateways – Digi
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Intelligent Transportation – Vehicle Model Driven Sensor Data Analysis
KNOWN PARAMETERS EFFECTS TARGET INDUSTRYVehicle Type & Driving Behavior Road Condition Monitoring City MunicipalityRoad Condition & Driving Behavior Car Prognosis Automotive
Road Condition & Vehicle Type Driving Behavior Analysis Insurance
Acceleration a(t) = f (H(t), v(t), R(t), D(t))
H(t)
• Demo available for road condition monitoring on RIPSAC
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Intent-based Social Network Formation• Social sub-graph formation between
ride-givers and ride-takers• Real-time decision system based on
instantaneous location and route matching
• Trust model based on “Friend-of-Friends” kind of relationship
• Reduction of search complexity
Intelligent Transportation – Share-a-Ride
• Demo available
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Intelligent Healthcare – Remote Medical Consultation
ECG
Body Fat Analyzer
Blood PressureMonitor
Pulse OxyMeter
Healthcare
Portal
Mobile gateway
433MHz Wireless gateway
Web Request
• Demo available – possible pilot in a China City• Integration planned with TCS Clinical Decision Support System
PatientRecords
Health Center / Home
Expert Doctor
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Intelligent Energy: Home Utility Management Solution (HUMS)
• Multi-protocol Gateway compliant to multiple standards• Integrated with Utility Back-end (MDM)• Appliance Identification from aggregated meter data using
source separation• Demand-response and load-scheduling• Carbon-footprint Analytics
• Demo available• Pilot with a Green Utility Company in
Netherlands on Appliance Identification from Meter Data using Source Separation
Utility
Appliances Smart Plugs
IntelligentGateway
Smart Meter
Demand ForecastingDemand ResponseAppliance Management
Consumption ViewAppliance SchedulingOn-off Control
Social Network Integration
Consumer Home
Analytics
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Intelligent Store – Indoor Localization
Upper Audio Band Communication in Mobiles
• Complete baseband communication chain design using upper audio band (16 to 22 KHz) carrier
• Low computational complexity to preserve battery power
• Novel waveform design for fast detection time (less than 1 second)
• Programmable range (1 m to 8 m) through power control
• Error Control Coding for Robustness
• Demo available• Customer traction in Retail Stores and Airports
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Safe City - Multimodal Surveillance and Response Planning
• Filter with city soundscape info• Heat-map based on participatory sensing• Categorize Crowd, Traffic or Explosion
• Filter with social network analysis• NLP and Semantic analysis of geo-tagged social
n/w tweets
Filter with local participatory surveillance- Event triggered participatory sensing- Low complexity Compression
Events withreduced false alarm
Events from video surveillance system
Fusion of information HTN based Response Planning
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Intelligent Compliance – Insurance Claim Automation
• Mobile phone based design• Uses Mobile Camera Image of VIN /
Number Plate and Mobile mic. based Voice-assist
• Low Complexity Noise cleaning, pre-processing and OCR
• Vehicle Contour based Damage Estimation based on Template matching for Insurance
• Under Development• Interest from Insurance Companies
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Intelligent Home and Office – People Counting and Identification
Indoor People Counting for TV Viewership
• Multi-algorithm fusion to improve detection probability
• Face Detection, Body Posture Detection and Background Modeling are combined to improve the detection above 92 % from 75 %
• Customer – A large TV viewership rating company in USA
People Identification• Gesture sensing through Kinect –
Multimodal sensing through Camera and Audio
• Identification through Gesture / Gait modeling
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Intelligent Agriculture – Mobile Agro-advisory System
Power-efficient Wireless Mesh Network
• Real-time sending of Soil Temperature, Soil Moisture, Atmospheric Temperature and Atmospheric Humidity
• Cellular Backhaul• Zigbee based wireless mesh
network• Power-efficient sleep mode design
• Demo available• Integrated with mKrishi – TCS mobile agro-advisory
solution
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Alliances
Industry• Digi (Energy, Transportation, Environment
Monitoring)• Mobile Devices (Car Telematics)• ETComm (Medical)• Intel / TI (Edge Platform)• IBM (CEP Platform)
Academic• Singapore Management University (iCity
Platform)• Indian Statistical Institute (Privacy, Image /
Video Processing)• IIT Kharagpur (Analytics, Personal Context
Extraction)• IIT Bombay, IIT Madras, IISc Bangalore – in
pipeline