A brief introduction to the Eurotech Group and Eurotech’s M2M Field-to-Application Building Blocks for Smart City Applications
M2M Applications and Use Cases: Industrial Air Conditioning System Monitoring, Environmental Monitoring, Retail Shop Performance Measurement, Retail Energy and Asset Management, Elderly Living Project, Taxi Queue Optimization, Parking Management, Cool Chain Monitoring and Fleet Management Optimization
A Full End-to-End Platform as a Service for SmartCity ApplicationsCharalampos Doukas
Presentation at the 10th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications - WiMob2014, about using COMPOSE project components for building Smart City application
Initial Sketch on Capstone Fall 2016. Uses RFID, Beacons, Phones, NativeScript and AMTech to provide an App for attendees and presenters to the Capstone Festival
Industrial IoT & Smart City by Nerma Šečić-Haračić and Nedim BijedićBosnia Agile
This presentation covers effects that IoT revolution is having on industrial equipment and industrial system (which are traditionally closed legacy systems) implementation projects. Session will also cover how industrial revolution has affected “smart” solutions like Smart City.
Cloud based Smart City hubs are an attractive approach to addressing some of the complex issues faced when deploying PaaS infrastructure for Smart Cities. In this paper we introduce the general notion of IoT hubs and then discusses our work to generalize our IoT hub as a Smart City PaaS. Two key issues are identified, support for hybrid public/private cloud and interoperability. We briefly describe our approach to these issues and discuss our experiences deploying two cloud-based Smart City hubs, one in the UK and the other in Canada.
A brief introduction to the Eurotech Group and Eurotech’s M2M Field-to-Application Building Blocks for Smart City Applications
M2M Applications and Use Cases: Industrial Air Conditioning System Monitoring, Environmental Monitoring, Retail Shop Performance Measurement, Retail Energy and Asset Management, Elderly Living Project, Taxi Queue Optimization, Parking Management, Cool Chain Monitoring and Fleet Management Optimization
A Full End-to-End Platform as a Service for SmartCity ApplicationsCharalampos Doukas
Presentation at the 10th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications - WiMob2014, about using COMPOSE project components for building Smart City application
Initial Sketch on Capstone Fall 2016. Uses RFID, Beacons, Phones, NativeScript and AMTech to provide an App for attendees and presenters to the Capstone Festival
Industrial IoT & Smart City by Nerma Šečić-Haračić and Nedim BijedićBosnia Agile
This presentation covers effects that IoT revolution is having on industrial equipment and industrial system (which are traditionally closed legacy systems) implementation projects. Session will also cover how industrial revolution has affected “smart” solutions like Smart City.
Cloud based Smart City hubs are an attractive approach to addressing some of the complex issues faced when deploying PaaS infrastructure for Smart Cities. In this paper we introduce the general notion of IoT hubs and then discusses our work to generalize our IoT hub as a Smart City PaaS. Two key issues are identified, support for hybrid public/private cloud and interoperability. We briefly describe our approach to these issues and discuss our experiences deploying two cloud-based Smart City hubs, one in the UK and the other in Canada.
Smart City Saitama Model:Information Bank and Data ServicesHiroaki Nishi
This slide describes the smart city project in Saitama, Japan mainly focusing on information bank and smart city data services. The data infrastructures and data services are given as typical examples. This slide is shared at GCTC Data SuperCluster City Platform Review Meeting.
Urban IoT for Smart Cities: New Pathways to Business and Location Intelligenc...George Percivall
Presentation to Location Intelligence 2014 on 20 May 2014, during Opening Plenary/LI Vision Panel:" Location Analytics & Visual Data Discovery … New Pathways to Business Intelligence" My presentation identifies how rich location information is vital to the success of smart cities. Topics addressed included benefits for location infrastructure in Smart Cities. Spatial architecture from geospatial, infrastructure, buildings - indoor, outdoor and urban settings. OGC Smart Cities Testbed as convergence of many technologies to meet the needs of urban citizens and services.
http://www.locationintelligence.net/dc/agenda/
A Web of Things Based Eco-System for Urban Computing - Towards Smarter CitiesAndreas Kamilaris
Environmental awareness and knowledge may help people to take more informed decisions in their everyday lives, ensuring their health and safety. The Web of Things enables embedded sensors to become easily deployed in urban areas for environmental monitoring such as air quality, electromagnetism, radiation, etc. In this presentation, we propose an eco-system for urban computing which combines the concept of the Web of Things, together with big data analysis and event processing, towards the vision of smarter cities that offer real-time information to their habitants about the urban environment. We touch upon near real-time web-based discovery of sensory services, citizen participation, semantic technologies and mobile computing, helping people to take more informed everyday decisions when interacting with their urban landscape. We then present a case study where we demonstrate the feasibility and usefulness of this eco-system to the everyday lives of citizens.
This research has been supported by the P-SPHERE project, which has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skodowska-Curie grant agreement No 665919.
Enabling smart cities: the role of network video.
The city of the future will be a smart city, where digital technologies improve the quality of living for its inhabitants, reduce environmental impact, and make everyday services run more smoothly. Network video systems will have an important role to play in this: Beyond today’s safety and security installations, they will take on the role of smart sensors; facilitating components that provide important data to inform and enable the smart city. This article explains how, in the future, network video systems may become the backbone for a city’s Internet of Things, and a platform for the development of smart city applications.
Wireless M2M - bringing smart interactivity into the world of moving machines...Mobile Monday Brussels
PTOLEMUS CONSULTING GROUP - Frederic Bruneteau - Managing Director
Wireless M2M - bringing smart interactivity into the world of moving machines
during Mobilemonday.be event on M2M
On June 14th, 2016, Matteo Beccaro (CTO of Opposing Force) discussed smart cities core technologies/systems security during the IoT TECH EXPO in Berlin.
Internet of Things trifft auf Customer IntelligenceRising Media Ltd.
Phil Winters, Senior Managing Partner, CIAgenda
Die Herausforderung das Internet of Things (IoT) zu verwirklichen wurde bereits 2013 bei der Predictive Analytics World thematisiert. Wie die Wirklichkeit von IoT heute aussieht, stellt dieser Vortrag dar. Acht unabhängige Maschinen-Datenquellen wurden zusammengebracht und neue Predictive Analytics-Techniken wurden erprobt, um faktenbasierendes Wissen über Kunden und ihr Verhalten zu generieren. Das neue Wissen und die gewonnenen Erkenntnisse sind beeindruckend. Aufgrund des Einsatzes von öffentlich verfügbaren Daten und Open Source Software ist das Beispiel nicht nur praxisnah, sondern kann von jedem reproduziert werden.
everis joins Telefonica to collaborate in the Internet para Todos Peru initiative, a wholesale telecommunications infrastructures operator that aims to expand the internet connectivity in rural areas of Latin America.
Resulting from this collaboration, everis will be in charge of the deployment and maintenance of the Operation Support Systems (OSS) that enable the creation and sustainment of a reliable and quality network.
The solutions already deployed by everis are based on open models and include advanced network analytics systems, AI and machine learning applications.
Knowledge Areas:
• Supply chains tailoring to the market needs
• Leverage the digital technology and provide competitive advantage in terms of service level, cost and asset efficiency, and flexibility
• Digital supply chain redesign and analytics
• End-to-end strategy and operating model
• Integrated business planning and execution
• Logistics, transportation, and distribution optimization
• Inventory and working capital optimization
• Reverse (post-sales) logistics
• Supply chain risk management
• Sustainable supply chain management.
Develop and commercialize a propietary real-time location system (RTLS) using standard protocols to remotely monitor and control a wide variety of assets within defined wireless networks.
Zia’s vision is to be the leading innovative RTLS provider in the Retail, Security, Construction, Health Care, Transportation, and other target markets where asset tracking and monitoring is critical.
Smart City Saitama Model:Information Bank and Data ServicesHiroaki Nishi
This slide describes the smart city project in Saitama, Japan mainly focusing on information bank and smart city data services. The data infrastructures and data services are given as typical examples. This slide is shared at GCTC Data SuperCluster City Platform Review Meeting.
Urban IoT for Smart Cities: New Pathways to Business and Location Intelligenc...George Percivall
Presentation to Location Intelligence 2014 on 20 May 2014, during Opening Plenary/LI Vision Panel:" Location Analytics & Visual Data Discovery … New Pathways to Business Intelligence" My presentation identifies how rich location information is vital to the success of smart cities. Topics addressed included benefits for location infrastructure in Smart Cities. Spatial architecture from geospatial, infrastructure, buildings - indoor, outdoor and urban settings. OGC Smart Cities Testbed as convergence of many technologies to meet the needs of urban citizens and services.
http://www.locationintelligence.net/dc/agenda/
A Web of Things Based Eco-System for Urban Computing - Towards Smarter CitiesAndreas Kamilaris
Environmental awareness and knowledge may help people to take more informed decisions in their everyday lives, ensuring their health and safety. The Web of Things enables embedded sensors to become easily deployed in urban areas for environmental monitoring such as air quality, electromagnetism, radiation, etc. In this presentation, we propose an eco-system for urban computing which combines the concept of the Web of Things, together with big data analysis and event processing, towards the vision of smarter cities that offer real-time information to their habitants about the urban environment. We touch upon near real-time web-based discovery of sensory services, citizen participation, semantic technologies and mobile computing, helping people to take more informed everyday decisions when interacting with their urban landscape. We then present a case study where we demonstrate the feasibility and usefulness of this eco-system to the everyday lives of citizens.
This research has been supported by the P-SPHERE project, which has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skodowska-Curie grant agreement No 665919.
Enabling smart cities: the role of network video.
The city of the future will be a smart city, where digital technologies improve the quality of living for its inhabitants, reduce environmental impact, and make everyday services run more smoothly. Network video systems will have an important role to play in this: Beyond today’s safety and security installations, they will take on the role of smart sensors; facilitating components that provide important data to inform and enable the smart city. This article explains how, in the future, network video systems may become the backbone for a city’s Internet of Things, and a platform for the development of smart city applications.
Wireless M2M - bringing smart interactivity into the world of moving machines...Mobile Monday Brussels
PTOLEMUS CONSULTING GROUP - Frederic Bruneteau - Managing Director
Wireless M2M - bringing smart interactivity into the world of moving machines
during Mobilemonday.be event on M2M
On June 14th, 2016, Matteo Beccaro (CTO of Opposing Force) discussed smart cities core technologies/systems security during the IoT TECH EXPO in Berlin.
Internet of Things trifft auf Customer IntelligenceRising Media Ltd.
Phil Winters, Senior Managing Partner, CIAgenda
Die Herausforderung das Internet of Things (IoT) zu verwirklichen wurde bereits 2013 bei der Predictive Analytics World thematisiert. Wie die Wirklichkeit von IoT heute aussieht, stellt dieser Vortrag dar. Acht unabhängige Maschinen-Datenquellen wurden zusammengebracht und neue Predictive Analytics-Techniken wurden erprobt, um faktenbasierendes Wissen über Kunden und ihr Verhalten zu generieren. Das neue Wissen und die gewonnenen Erkenntnisse sind beeindruckend. Aufgrund des Einsatzes von öffentlich verfügbaren Daten und Open Source Software ist das Beispiel nicht nur praxisnah, sondern kann von jedem reproduziert werden.
everis joins Telefonica to collaborate in the Internet para Todos Peru initiative, a wholesale telecommunications infrastructures operator that aims to expand the internet connectivity in rural areas of Latin America.
Resulting from this collaboration, everis will be in charge of the deployment and maintenance of the Operation Support Systems (OSS) that enable the creation and sustainment of a reliable and quality network.
The solutions already deployed by everis are based on open models and include advanced network analytics systems, AI and machine learning applications.
Knowledge Areas:
• Supply chains tailoring to the market needs
• Leverage the digital technology and provide competitive advantage in terms of service level, cost and asset efficiency, and flexibility
• Digital supply chain redesign and analytics
• End-to-end strategy and operating model
• Integrated business planning and execution
• Logistics, transportation, and distribution optimization
• Inventory and working capital optimization
• Reverse (post-sales) logistics
• Supply chain risk management
• Sustainable supply chain management.
Develop and commercialize a propietary real-time location system (RTLS) using standard protocols to remotely monitor and control a wide variety of assets within defined wireless networks.
Zia’s vision is to be the leading innovative RTLS provider in the Retail, Security, Construction, Health Care, Transportation, and other target markets where asset tracking and monitoring is critical.
DEVNET-1145 How APIs are Driving City DigitizationCisco DevNet
Smart-city solutions connected over an intelligent network platform are the foundation for city digitization. Cisco now offers application program interface (API) tools for developers to create applications for smart cities that frame and focus big-data streams, delivering relevant and timely content to improve city operations and enhance daily life. See how select visionary cities are already working with Cisco to leverage Smart+Connected Communities solutions and how an enormous opportunity now exists to develop applications that transform the data into useful information for city leaders, businesses, citizens and visitors as well as for use in other city processes. Cities are attracting new businesses and entrepreneurs and generating an economic boom in application development to meet urban service requirements of every stripe in cities today and broadly drive city digitization.
More and more people in mega cities, more sensors, more apps, Smart is everywhere for smart living. but what's about security, what's about the people. How to deliver better living, happy living. HPE provides IoT solutions with connectivity management, processing at the edge and in the cloud, security, data management, etc to help industry verticals, telecom operators deliver secured trusted IoT solutions
Sensing-as-a-Service - An IoT Service Provider's PerspectivesDr. Mazlan Abbas
UM-MCMC Connected Communities and Internet of Things (IoT): Building Value through Visibility
at Universiti Malaya (UM)
Wednesday, December 10, 2014 from 8:00 AM to 4:00 PM (MYT)
Kuala Lumpur, Malaysia
Snap4City November 2019 Course: Smart City IOT Data Ingestion Interoperabilit...Paolo Nesi
• Data Ingestion Capabilities
• Data Ingestion Strategy
• Setting Up the Road Graph on Knowledge Base
• Data Set Load via Data Gate (plus how to load triples into Knowledge base)
• Data Ingestion and Transformation via ETL Processes
• Data Ingestion via IOT Brokers
• IOT Network: recall of basic concepts
• IOT Directory
• IOT Devices and IOT Brokers Registration
• Data Ingestion via IOT Applications
• Data Ingestion from API, External Services, Custom MicroServices
• Data Ingestion via Web Scraping
• Data Streams from Smart City API, participatory
• Data Streams from Mobile Devices
• Data Streams from Dashboards
• GIS Data Import and Export
• Social Media data collection and exploitation
• Acknowledgements
Proximity Technologies’ secure devices provides state of the art analytics transmitted from our PROXiMITTER® device or can be integrated with existing analytics you already own.
The PROXiMITTER® allows faster implementation of promotions, inventory, services, personal concierge, customer interaction, personalized service and strategic planning. This provides an exceptional user experience, and a better statistic pool, all secured with absolute certainty with encrypted board and customizable firmware, providing complete peace of mind for all parties involved.
Data tokenization with Full Point Pay is fully compatible with modern PCI requirements and can be implemented into any Point of Sale system, e.g., NFC, EMV, Magstripe, ApplePay, Google Wallet, etc.
Technology Convergence for Smart X ApplicationsBob Marcus
Cartoons showing convergence of emerging technologies into Cyber-Physical-Social grids to provide support for large-scale Smart X applications. This is a very high level overview meant to capture some of the technology interactions for non-technical viewers.
The UrbanSense sensing platform is a result of the FP7 funded project Future Cities, and consists on low cost weather and environmental sensors installed throughout the city of Porto. This work was done in close cooperation with the municipality, as part of the smart city innovation strategy.
1. 1
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
6. 6
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
7. 7
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
8. 8
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
9. 9
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
10. 10
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
11. 11
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)
16. 16
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
17. 17
Intelligent Transportation – Vehicle Model Driven
Sensor Data Analysis
KNOWN PARAMETERS EFFECTS TARGET INDUSTRY
Vehicle Type & Driving Behavior Road Condition Monitoring City Municipality
Road 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
18. 18
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
19. 19
Intelligent Healthcare – Remote Medical Consultation
ECG
Body Fat Analyzer
Blood Pressure
Monitor
Pulse OxyMeter
Mobile gateway
433MHz Wireless
gateway
• Demo available – possible pilot in a China City
• Integration planned with TCS Clinical Decision Support System
Patient
Records
Health Center / Home
Expert Doctor
20. 20
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
Intelligent
Gateway
Smart
Meter
Demand Forecasting
Demand Response
Appliance Management
Consumption View
Appliance Scheduling
On-off Control
Social Network
Integration
Consumer Home
Analytics
21. 21
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
22. 22
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 with
reduced false alarm
Events from video
surveillance system
Fusion of information HTN based Response
Planning
23. 23
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
24. 24
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
25. 25
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
26. 26
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