The document discusses emerging Internet of Things (IoT) usages and applications for over 1 trillion sensors. It begins by stating that in the future, computing will need to go where data is generated rather than data always coming to computing. It then provides definitions and examples for embedded systems, machine-to-machine communication, and the IoT. The rest of the document outlines different types and levels of IoT usages from personal to home, city, national, and planet levels. It discusses drivers of IoT app growth and where that growth will come from, including areas like data manipulation, security, and analytics. Finally, it emphasizes that the amount of data from 50 billion devices and 1 trillion sensors will be massive and must be reduced
Slides for September 26th Internet of Things Webinar I ran for RS to kick off their new Internet of Things Design Centre we contributed content to. bit.ly/IOT-Webinar
After many requests during our meetups we have decided to focus a webinar about IoT/M2M sensors and security risks and issues. We will discuss about the various types of sensors, the conversion to digital data, security objectives and issues.
When deploying Internet of Things and machine-to-machine application devices, the connected device generally needs to report more than just its physical location. There is a universe of sensors and devices, we will talk about the more common ones.
In her keynote speech at the Consumer Electronics Show in January 2015, the US Federal Trade Commission Chairperson Edith Ramirez noted “any device that is connected to the Internet is at risk of being hijacked.” Whether that device is a smartphone, an automobile infotainment system, an automated diabetes monitor, or a GPS-guided farm tractor, specific protections for security of Internet of Things and machine-to-machine devices and applications must be built into the entire solution. We will talk about the basic requirements of security implementations and the different methods commonly used to increase the overall security of IoT/M2M data and applications.
Internet of things_by_economides_keynote_speech_at_ccit2014_finalAnastasios Economides
Internet of Things forecast, economics, applications, technology, research challenges, sensor networks security, attack models, countermeasures, network security visualization
Makers: Shubham Yadav, Aniket Dwivedi, Vedant Babade
presentation on internet of things (IOT) for seminar presentation and school projects.
included future of iot with its different application history and many more things.
Slides for September 26th Internet of Things Webinar I ran for RS to kick off their new Internet of Things Design Centre we contributed content to. bit.ly/IOT-Webinar
After many requests during our meetups we have decided to focus a webinar about IoT/M2M sensors and security risks and issues. We will discuss about the various types of sensors, the conversion to digital data, security objectives and issues.
When deploying Internet of Things and machine-to-machine application devices, the connected device generally needs to report more than just its physical location. There is a universe of sensors and devices, we will talk about the more common ones.
In her keynote speech at the Consumer Electronics Show in January 2015, the US Federal Trade Commission Chairperson Edith Ramirez noted “any device that is connected to the Internet is at risk of being hijacked.” Whether that device is a smartphone, an automobile infotainment system, an automated diabetes monitor, or a GPS-guided farm tractor, specific protections for security of Internet of Things and machine-to-machine devices and applications must be built into the entire solution. We will talk about the basic requirements of security implementations and the different methods commonly used to increase the overall security of IoT/M2M data and applications.
Internet of things_by_economides_keynote_speech_at_ccit2014_finalAnastasios Economides
Internet of Things forecast, economics, applications, technology, research challenges, sensor networks security, attack models, countermeasures, network security visualization
Makers: Shubham Yadav, Aniket Dwivedi, Vedant Babade
presentation on internet of things (IOT) for seminar presentation and school projects.
included future of iot with its different application history and many more things.
Its show how Internet works and wht is the benifit of internet, how the Barcelona smart city is using a internet
for more knowledge please find in youtube
The Internet of Things (and the myth of the “Smart” Fridge)Avi Itzkovitch
As product designers we live in exciting times. The next era of the continuing digital revolution, called the Internet of Things, has become a reality. But what does this “Internet of Things” really mean, and how can designers make sense of it all?
Read my full article about the Smart Fridge here:
http://www.xgmedia.com/2013/06/the-internet-of-things-to-come-demystifying-the-myth-of-the-smart-fridge
topics discussed:
internet of things the future.
is IOT a fad?
future opportunities for internet of things
market size of internet of things.
current market.
obstacles in internet of things
If you are not familiar with the term Internet of Things and want to know about this new technology then this presentation is for you. You will find all the aspects of IoT, like IoT introduction, IoT applications and its challenges as well as future of Internet of Things, in this presentation.
In this presentation, Somadatta introduces the topic of IoT, associated trends and future predictions. His interest area lies in smart farming and smart devices to drive efficiency.
In this paper we are going to deal with the types of Internet of Things (IOT) devices used in a Smart City, role of computer science in IOT in various streams and some Case Studies from different sources. We are presenting a cost-efficient and effective way of proposing a IOT device that is used to detect Drunk and Driven cases, Over speed cases, Health issues during driving, Sleepiness during driving and also to detect Theft of the vehicles. In this paper we discuss about numerous types of Internet of Things (IOT) devices, some main causes of road accidents, how to detect them, and a proposal. We are still in the basic stage of proposal and future work to be done.
Its show how Internet works and wht is the benifit of internet, how the Barcelona smart city is using a internet
for more knowledge please find in youtube
The Internet of Things (and the myth of the “Smart” Fridge)Avi Itzkovitch
As product designers we live in exciting times. The next era of the continuing digital revolution, called the Internet of Things, has become a reality. But what does this “Internet of Things” really mean, and how can designers make sense of it all?
Read my full article about the Smart Fridge here:
http://www.xgmedia.com/2013/06/the-internet-of-things-to-come-demystifying-the-myth-of-the-smart-fridge
topics discussed:
internet of things the future.
is IOT a fad?
future opportunities for internet of things
market size of internet of things.
current market.
obstacles in internet of things
If you are not familiar with the term Internet of Things and want to know about this new technology then this presentation is for you. You will find all the aspects of IoT, like IoT introduction, IoT applications and its challenges as well as future of Internet of Things, in this presentation.
In this presentation, Somadatta introduces the topic of IoT, associated trends and future predictions. His interest area lies in smart farming and smart devices to drive efficiency.
In this paper we are going to deal with the types of Internet of Things (IOT) devices used in a Smart City, role of computer science in IOT in various streams and some Case Studies from different sources. We are presenting a cost-efficient and effective way of proposing a IOT device that is used to detect Drunk and Driven cases, Over speed cases, Health issues during driving, Sleepiness during driving and also to detect Theft of the vehicles. In this paper we discuss about numerous types of Internet of Things (IOT) devices, some main causes of road accidents, how to detect them, and a proposal. We are still in the basic stage of proposal and future work to be done.
[DevDay2019] Internet of Things- By: Dr. Anand Nayyar at Duy Tan UniversityDevDay.org
In this lecture, he will start by elaborating the term “Internet of Things” along with current technological trends which has led to IoT, define the impact of IoT on Society making a strong base for Smart Cities, Industries- Transforming into Industry 4.0, Medical IoT as well as Future transformations in IoT.
Internet of Things (IoT) has a great potential for diverse applications. IoT applications can provide interesting and useful applications in various fields such as agriculture, aviation, education and more
The Internet of Things (IoT) is the network of physical objects or "things" embedded with electronics, software, sensors, and network connectivity, which enables these objects to collect and exchange data. .The Internet of Things allows objects to be sensed and controlled remotely across existing network infrastructure .
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
Discussion materials for Internet of Things and Smart Cities - Vespucci 2016 ...SensorUp
This is a presentation file prepared for the Vespucci Summer Institute 2016 Week 2. It serves as the introductory material for discussions. It covers the introduction of the Internet of Things, smart cities, what do we mean by "smart" cities, and finally touched on the topic of startups for the IoT field.
InfoRepos Academy Introduction v1.1 - IIOT Experiential Learning ProgramInfoRepos Technologies
Introduction to IIOT Course & Benefits:
This is an Experiential Learning Program in the Industrial Internet of Things Area. This course covers below topics:
- Fundamentals of Electronics for IOT Engineering
- Using Arduino & RaspberryPi_Programming for IOT
- Manufacturing PCB & Component Assembly of IOT Devices
- Embedded Systems Coding & Firmware Injection
- Fundamentals of Python Programming
- Fundamentals of SQLite & MySQL
- Advances IIOT Programming using Python
- Data Storage & Accessing Mechanism Using MySQL & Cloud
- Data Sciences - Deep Learning with TensorFlow for IIOT
- Data Sciences - Machine Learning using IBM Watson for IIOT
- Data Visualization - Tableau for IOT
Optimizing connected system performance md&m-anaheim-sandhi bhide 02-07-2017sandhibhide
Sandhiprakash Bhide presenting at the Smart Manufacturing Innovation Summit/Industry 4.0 event on "Optimizing Connected System Performance and Establishing Tangible Goals for Sensor Use"
Meet up Milano 14 _ Axpo Italia_ Migration from Mule3 (On-prem) to.pdfFlorence Consulting
Quattordicesimo Meetup di Milano, tenutosi a Milano il 23 Maggio 2024 dalle ore 17:00 alle ore 18:30 in presenza e da remoto.
Abbiamo parlato di come Axpo Italia S.p.A. ha ridotto il technical debt migrando le proprie APIs da Mule 3.9 a Mule 4.4 passando anche da on-premises a CloudHub 1.0.
APNIC Foundation, presented by Ellisha Heppner at the PNG DNS Forum 2024APNIC
Ellisha Heppner, Grant Management Lead, presented an update on APNIC Foundation to the PNG DNS Forum held from 6 to 10 May, 2024 in Port Moresby, Papua New Guinea.
Bridging the Digital Gap Brad Spiegel Macon, GA Initiative.pptxBrad Spiegel Macon GA
Brad Spiegel Macon GA’s journey exemplifies the profound impact that one individual can have on their community. Through his unwavering dedication to digital inclusion, he’s not only bridging the gap in Macon but also setting an example for others to follow.
Understanding User Behavior with Google Analytics.pdfSEO Article Boost
Unlocking the full potential of Google Analytics is crucial for understanding and optimizing your website’s performance. This guide dives deep into the essential aspects of Google Analytics, from analyzing traffic sources to understanding user demographics and tracking user engagement.
Traffic Sources Analysis:
Discover where your website traffic originates. By examining the Acquisition section, you can identify whether visitors come from organic search, paid campaigns, direct visits, social media, or referral links. This knowledge helps in refining marketing strategies and optimizing resource allocation.
User Demographics Insights:
Gain a comprehensive view of your audience by exploring demographic data in the Audience section. Understand age, gender, and interests to tailor your marketing strategies effectively. Leverage this information to create personalized content and improve user engagement and conversion rates.
Tracking User Engagement:
Learn how to measure user interaction with your site through key metrics like bounce rate, average session duration, and pages per session. Enhance user experience by analyzing engagement metrics and implementing strategies to keep visitors engaged.
Conversion Rate Optimization:
Understand the importance of conversion rates and how to track them using Google Analytics. Set up Goals, analyze conversion funnels, segment your audience, and employ A/B testing to optimize your website for higher conversions. Utilize ecommerce tracking and multi-channel funnels for a detailed view of your sales performance and marketing channel contributions.
Custom Reports and Dashboards:
Create custom reports and dashboards to visualize and interpret data relevant to your business goals. Use advanced filters, segments, and visualization options to gain deeper insights. Incorporate custom dimensions and metrics for tailored data analysis. Integrate external data sources to enrich your analytics and make well-informed decisions.
This guide is designed to help you harness the power of Google Analytics for making data-driven decisions that enhance website performance and achieve your digital marketing objectives. Whether you are looking to improve SEO, refine your social media strategy, or boost conversion rates, understanding and utilizing Google Analytics is essential for your success.
Gen Z and the marketplaces - let's translate their needsLaura Szabó
The product workshop focused on exploring the requirements of Generation Z in relation to marketplace dynamics. We delved into their specific needs, examined the specifics in their shopping preferences, and analyzed their preferred methods for accessing information and making purchases within a marketplace. Through the study of real-life cases , we tried to gain valuable insights into enhancing the marketplace experience for Generation Z.
The workshop was held on the DMA Conference in Vienna June 2024.
Gen Z and the marketplaces - let's translate their needs
T sensor summit-emerging iot usages & apps for trillion+ sensors-sandhi bhide-tokyo, japan-feb20-21,2014
1. Slide 1
Sandhiprakash Bhide – Intel Corporation, TSENSOR SUMMIT, Trillion Sensors Summit, Tokyo Japan 2014
Emerging IOT Usages & Apps for Trillion+ Sensors
Sandhiprakash Bhide, Strategist and Technologist, Intel Corporation
Trillion Sensors Summit Japan 2014
February 20-21, 2014, Tokyo Japan
2. Slide 2
Sandhiprakash Bhide – Intel Corporation, TSENSOR SUMMIT, Trillion Sensors Summit, Tokyo Japan 2014
Slide 2
“We are at an inflection point in the history of Data and
Computing. For the last 66 years since ENIAC, Data has
always come to Computing. Not so going into the
future. In the future, Compute will have to go where
Data is. The future is about scaling and about
distributed Intelligence.
We neither have enough wireless bandwidth and
spectrum to push data up from 50B Devices and 1
Trillion+ Sensors nor does it make economic sense to
send senseless bits up the channel”
- Sandhiprakash Bhide
3. Slide 3
Sandhiprakash Bhide – Intel Corporation, TSENSOR SUMMIT, Trillion Sensors Summit, Tokyo Japan 2014
Slide 3
Grand Challenges for Engineering in 21st Century
Make Solar Energy
Economical
Provide Nuclear
Fusion Energy
Develop Carbon
Sequestration Method
Manage the
Nitrogen Cycle
Provide access to
Clean Water
Reverse Engineer
the Brain
Advance Health
Informatics
Engineer better
Medicines
Engineer the Tools of
Scientific Discovery
Restore/Improve
Urban Infrastructure
Advance Virtual
Reality
Advance Personalized
Learning
Prevent Nuclear
Terror
Secure
Cyberspace/Internet
Invest in Biotech/
Stem Cell Research
50B
Devices
50B Devices 1T Sensors
+
50B Devices and 1T+ sensors can help address these challenges
4. Slide 4
Sandhiprakash Bhide – Intel Corporation, TSENSOR SUMMIT, Trillion Sensors Summit, Tokyo Japan 2014
Slide 4
Clarifying Definitions: Embedded, Machine to
Machine (M2M), and Internet of Things (IOT*)
*Alternate names for IOT = Web 3.0, Intelligent Systems, Sensor Networks, Internet of Everything, Web of Things, Ubiquitous or Ambient Computing
IOTIOT
System of systems working
together connected via
Internet driving
combinatorial analytics
System of systems working
together connected via
Internet driving
combinatorial analytics
IOT
System of systems working
together connected via
Internet driving
combinatorial analytics
M2MM2M
Intelligent/flexible wireless
or wired systems
interconnected with each
other for a specific app e.g.
parking
Intelligent/flexible wireless
or wired systems
interconnected with each
other for a specific app e.g.
parking
M2M
Intelligent/flexible wireless
or wired systems
interconnected with each
other for a specific app e.g.
parking
EmbeddedEmbedded
Computer system with a
dedicated function within a
larger system, often with
real-time constraints
Computer system with a
dedicated function within a
larger system, often with
real-time constraints
Embedded
Computer system with a
dedicated function within a
larger system, often with
real-time constraints
5. Slide 5
Sandhiprakash Bhide – Intel Corporation, TSENSOR SUMMIT, Trillion Sensors Summit, Tokyo Japan 2014
Slide 5
Definition Clarification
Usage = How the system or product is utilized by
the end-user for a particular purpose or need
App: program or group of programs designed for end
users
Multi-vitaminTylenol
Usages Technologies
6. Slide 6
Sandhiprakash Bhide – Intel Corporation, TSENSOR SUMMIT, Trillion Sensors Summit, Tokyo Japan 2014
Slide 6
IOT Usages & Apps: Story of OC44 Transistor
7. Slide 7
Sandhiprakash Bhide – Intel Corporation, TSENSOR SUMMIT, Trillion Sensors Summit, Tokyo Japan 2014
Slide 7
Types of IOT Usages
Planet
• Global Warming
• Earthquakes
• Health Epidemics
• Green House
gases
• Glacier
Monitoring
• Ocean Health
• Nuclear Threat
Monitoring
Work/Industry
On-the-go
• Global Warming
• Earthquakes
• Health Epidemics
• Ecology
• Infrastructure Health
• Ozone Monitor
• Forest Fires
• Air Pollution
• River Mgmt.
• Smart Grid Mgmt.
• Govt. Bldg. Security
• Fleet Management
• Healthcare Mgmt.
• Actuator Mgmt.
Nation
• Micro-climate
• Parking
• Transportation
• Air Pollution
• Noise Pollution
• Traffic Mgmt.
• Waste Mgmt.
• Water Mgmt.
• Industrial Control
• Vehicles Mgmt.
• Healthcare
City/
Neighborhood
Family/
Home
• Refrigerators
• Ovens
• HVAC
• Water
• Electricity
• Health
• Utilities Usage
• Appliance Mgmt.
• Home Security
• Home Monitoring
• Patient Monitoring
• Smartphones
Personal
Management
• Coffee maker
• Alarm Clock
• Electric Toothbrush
• Smart Scale
• Automobiles
• Calendar Mgmt.
• Transportation
8. Slide 8
Sandhiprakash Bhide – Intel Corporation, TSENSOR SUMMIT, Trillion Sensors Summit, Tokyo Japan 2014
Slide 8
Personal Usages
Calendar
Phone
IOT
Car
Alarm
Traffic
Toothbrush
Scale
Coffee-maker
9. Slide 9
Sandhiprakash Bhide – Intel Corporation, TSENSOR SUMMIT, Trillion Sensors Summit, Tokyo Japan 2014
Slide 9
Home and Family Usages
Home
Security
IOT
Weather Monitor
Patient
Monitor
HVAC
Baffles
Home Utilities Monitor
Phones
Oven/Range Refrigerator
GE W
D
WElectricity
Water
Gas
Window
Door
10. Slide 10
Sandhiprakash Bhide – Intel Corporation, TSENSOR SUMMIT, Trillion Sensors Summit, Tokyo Japan 2014
Slide 10
City Usages
Phones
Crowd source
IOT
Traffic Monitor
Usage Scenarios
• Modes of Transportation
• Macro-climate condition
• Traffic Routing
• Bus Route Optimization
• Garbage Collection
• Noise/traffic levels near Hospitals
• Evaluation route Management
• Monitoring of criminals
Parking
Waste
Systems
Seismic
Monitor
Noise MonitorTransportation
Air Pollution
11. Slide 11
Sandhiprakash Bhide – Intel Corporation, TSENSOR SUMMIT, Trillion Sensors Summit, Tokyo Japan 2014
Slide 11
National Level Usage
Forest Fire
Global Warming
IOT
Smart Grid
Sensors
Usage Scenarios
• Health monitoring at Airport Entry
• Citizen safety: O3, rain fall, fires
• Electricity usage
• Infrastructure Monitoring
• Monitoring rainfall, river flows,
icecap melts, volcanic activity,
forest fires
• Cross-agency cooperation
River Flow
Monitor
Infrastructure
Health
Ozone
Cyber/Govt.
Security
Health
Epidemics
12. Slide 12
Sandhiprakash Bhide – Intel Corporation, TSENSOR SUMMIT, Trillion Sensors Summit, Tokyo Japan 2014
Slide 12
Planet Level Usages
Asteroid
IOT
Ocean
Health
Usage Scenarios
• Prediction of storms, hurricanes,…
• Health Epidemics
• Nuclear tests and proliferation
• Monitoring magnetic storms
• Measurement of UV radiation
Sustainable
Environments
Greenhouse
gases
Glaciers
Tsunami
Nuclear Control
Smart Health
13. Slide 13
Sandhiprakash Bhide – Intel Corporation, TSENSOR SUMMIT, Trillion Sensors Summit, Tokyo Japan 2014
Slide 13
Drivers for the Growth of IOT Apps
• Connected Device Growth
• Real Time Data Growth (Sensors)
• Growth of Verticals
• Intra-vertical Traffic (M2M IOT)
• Larger Storage
• Larger Investments in Data networks + Technology
14. Slide 14
Sandhiprakash Bhide – Intel Corporation, TSENSOR SUMMIT, Trillion Sensors Summit, Tokyo Japan 2014
Slide 14
Where is growth of IOT App come from?
1. Data Manipulation
2. Security, Privacy, and Identity Protection
3. Management of IOT Devices
4. Actuator Control
5. Trend Development (Temporal Analysis)
6. New IOT Verticals
7. Integration of Verticals
8. Consumer Apps/Service
9. Analytics
Critical item across the board: Analytics
15. Slide 15
Sandhiprakash Bhide – Intel Corporation, TSENSOR SUMMIT, Trillion Sensors Summit, Tokyo Japan 2014
Slide 15
List of Applications is endless
• Smart parking
• Infrastructure Health
• Noise Pollution Control
• Crowdsourcing information for
Smartphones
• Detecting pollution levels
• Waste management
• Smart Urban Planning
• Sustainable Urban Environment
• Smart Medication
• Aging Population
• Continuous Care
• Emergency
• Intelligent Commuting
• Smart Product Management
• Smart Meters and Metering
• Home Automation
• Management of renewable
energy
• Smart Farming
• Smart Animal Farming
• Handling Emergency
• Health care
• Smart Events
• Health and Beauty Choices
• Smart Food and Drink Choices
• Logistics
• Intelligent Shopping
16. Slide 16
Sandhiprakash Bhide – Intel Corporation, TSENSOR SUMMIT, Trillion Sensors Summit, Tokyo Japan 2014
Slide 16
Apps Hierarchy in the IOT Continuum
Sensors Data
Information
Knowledge
Wisdom
X, Y, Z
coordinates
from a GPS
John goes
to Starbucks
three/week
Starbucks
Near the
Hotel in NY
There is
Starbucks at
this location
Node
Edge
Backend/Cloud
E2E
Security
Privacy,
Identity
Safety
Analytics
17. Slide 17
Sandhiprakash Bhide – Intel Corporation, TSENSOR SUMMIT, Trillion Sensors Summit, Tokyo Japan 2014
Slide 17
Sensor Data to Information
Accelerometer, Audio,
Video, Vibration, Seismic,
Environmental, Health,
CO2, O3, HC
Std. Dev., Mean, Max, Min,
GSR/HR* Features, Color,
BW, Dynamic Range, Angle,
Contours
Decision Tree, GMM*, kernel
Machine, Bayesian Net,
Sparse Bundle Adjustment
Running, Sitting, Walking,
Stressed, Relaxed, Startled,
Worried, Chatting,
Commuting
Node/Security
Raw Sensor Data
Feature Extraction
Classification
Inference
Sensors Data
Information
Knowledge
Wisdom
*GMM: Gaussian Mixture Model, HR: Heart Rate, GSR: Galvanic Skin Response
18. Slide 18
Sandhiprakash Bhide – Intel Corporation, TSENSOR SUMMIT, Trillion Sensors Summit, Tokyo Japan 2014
Slide 18
From Information to Knowledge
Sensors Data
Information
Knowledge
Wisdom
Edge
Operating System
Connectivity Software
Complex Inferencing
Engine including Contextual
and Temporal Analytics and
Predictive software
Data Storage
Dat Filtering
Algorithms
Security, Privacy, Identity,
and Safety
M2M Focus
Critical item across the board: Analytics
19. Slide 19
Sandhiprakash Bhide – Intel Corporation, TSENSOR SUMMIT, Trillion Sensors Summit, Tokyo Japan 2014
Slide 19
From Knowledge to Wisdom
Sensors Data
Information
Knowledge
Wisdom
Operating System
Connectivity Software
Highly Complex,
combinatorial Analytics
Large Mirrored Data
Storage and systems
Data Filtering Algorithms
Security, Privacy, Identity,
and Safety
Backend/Cloud
IOT (system of systems)
Critical item across the board: Analytics
20. Slide 20
Sandhiprakash Bhide – Intel Corporation, TSENSOR SUMMIT, Trillion Sensors Summit, Tokyo Japan 2014
Slide 20
Conclusion
• IOT App opportunity space is humongous (100M?)
• The amount of data generated from 50B devices
and 1T+ sensors will be massive
• The data must be reduced to information at the
generation node to reduce large data overload
• The IOT technologies and apps must address IOT
usages and deliver expected User Experience
• Security, Privacy, and Identity need to be designed
in from day 1
21. Slide 21
Sandhiprakash Bhide – Intel Corporation, TSENSOR SUMMIT, Trillion Sensors Summit, Tokyo Japan 2014
Slide 21
Thank you