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Analytics, Machine Learning and Internet of Things
Guided by,
Deepa Thomas
Professor
Presented by,
Roshan Thomas
S7 CSE
Ro...
“Data is the new OIL”
Department of Computer Science & Engineering 219-11-2015
Cntd…
• Data is the new “OIL”.
• Data is out there and is free (Open data).
• It provides no competitive advantages.
• Fin...
What is Internet of Things
Department of Computer Science & Engineering 419-11-2015
The Internet of Things
“Internet of Objects” “Machine-to-Machine Era”
(2) Internet of Things refers to the concept that th...
• The term Internet of Things was first used by Kevin Ashton
in 1999.
• Internet of Things shortly called as IoT.
• The In...
Demonstration from Intel Corps.
Department of Computer Science & Engineering 719-11-2015
Existing System
• Internet is not smart enough.
• Heavy spamming and cheating.
• Deep web or Mariana's web promoting under...
Internet Usage and Population
Statistics
Department of Computer Science & Engineering 919-11-2015
Typical Views of the Internet
of Things
Industrial Automation Smart Health
Smart Home Smart City
Department of Computer Sc...
Proposed system
RTOS Sensor Smart Tech Nano Tech
To identify
and track the
data of
things and
efficient
multi-tasking
on d...
Machine Learning
• How to construct computer programs that automatically
improve with experience ?
• Think of it as foot w...
Machine Learning and IoT
• Google's acquisition of Deep Mind Technologies
• In 2011, Stanford computer science professor A...
What problems can machine
learning address?
• Spam Detection
• Credit Card Fraud Detection
• Digit Recognition
• Speech Un...
Applications of IoT
Education
Food
Management
IoT
Applications
Retail
Logistics
Pharmaceuticals
Department of Computer Sci...
Analytics with IoT
What is ANALYTICS ?
• Data analytics (DA) is the science of examining
raw data with the purpose of draw...
Cntd…
• Iot with analytics is called as IoTA.
• It is different from web analytics.
eg. – Google analytics
• Tellient is o...
Future works and projects
• Many projects came to life recently.
• Google separated as a separate company focusing on IoT....
Windows 10 IoT core edition
for Raspberry PI
Department of Computer Science & Engineering 1919-11-2015
Project ARA
Department of Computer Science & Engineering 2019-11-2015
Project Jacquard
Department of Computer Science & Engineering 2119-11-2015
Department of Computer Science & Engineering 2219-11-2015
Project Fi ~ Hotspot 2.0
Department of Computer Science & Engineering 2319-11-2015
Project Tango
Department of Computer Science & Engineering 2419-11-2015
Department of Computer Science & Engineering 2519-11-2015
Project Soli
Department of Computer Science & Engineering 2619-11-2015
Project Vault
Department of Computer Science & Engineering 2719-11-2015
Polymer
Department of Computer Science & Engineering 2819-11-2015
Challenges and Issues
• Issues
• Society: People, security, privacy
• A policy for people in the Internet of Things:
• Leg...
IoT will inherit the drawbacks of the current internet on an
infinitely larger, but more invisible scale
• Privacy – will ...
• Transition to IPv6 – Internet protocol v6
• Establishing a common set of standards between companies,
educational system...
Conclusion
• Data is the new OIL.
• Completely connected world with help of IoT.
• Machine learning and analytics combined...
References
• “Gartner Says the Internet of Things Installed Base Will
Grow to 26 Billion Units By 2020,” Gartner, 12 Dec. ...
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Analytics, Machine Learning and Internet of Things

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IEEE conference paper PPT slides made for seminar for Engineering course 2015

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Analytics, Machine Learning and Internet of Things

  1. 1. Analytics, Machine Learning and Internet of Things Guided by, Deepa Thomas Professor Presented by, Roshan Thomas S7 CSE Roll no.- 4628 Department of Computer Science & Engineering19-11-2015 1
  2. 2. “Data is the new OIL” Department of Computer Science & Engineering 219-11-2015
  3. 3. Cntd… • Data is the new “OIL”. • Data is out there and is free (Open data). • It provides no competitive advantages. • Finding patterns in data is the holy grail (the oil!). • But only few devices out there provide and share data. • There is where the IoT plays its part. • It makes commonly used devices connected to internet extract data from it. Department of Computer Science & Engineering 319-11-2015
  4. 4. What is Internet of Things Department of Computer Science & Engineering 419-11-2015
  5. 5. The Internet of Things “Internet of Objects” “Machine-to-Machine Era” (2) Internet of Things refers to the concept that the Internet is no longer just a global network for people to communicate with one another using computers, but it is also a platform for devices to communicate electronically with the world around them.” Center for Data and Innovation (1) The Internet of Things, also called The Internet of Objects, refers to a wireless network between objects, usually the network will be wireless and self-configuring, such as household appliances. Wikipedia “Internet of Everything” Department of Computer Science & Engineering 519-11-2015
  6. 6. • The term Internet of Things was first used by Kevin Ashton in 1999. • Internet of Things shortly called as IoT. • The Internet of Things (IoT) refers to the ever-growing network of physical objects that feature an IP address for internet connectivity. • And the communication that occurs between these objects and other Internet-enabled devices and systems is termed IoT. • In short every device you interact connected to a network. 6 Cntd… Department of Computer Science & Engineering19-11-2015
  7. 7. Demonstration from Intel Corps. Department of Computer Science & Engineering 719-11-2015
  8. 8. Existing System • Internet is not smart enough. • Heavy spamming and cheating. • Deep web or Mariana's web promoting underworld crimes. • Not reachable to rural areas. • Slow uplink and downlink time. • Only limited to computer, TV’s and mobile devices. Department of Computer Science & Engineering 819-11-2015
  9. 9. Internet Usage and Population Statistics Department of Computer Science & Engineering 919-11-2015
  10. 10. Typical Views of the Internet of Things Industrial Automation Smart Health Smart Home Smart City Department of Computer Science & Engineering 1019-11-2015
  11. 11. Proposed system RTOS Sensor Smart Tech Nano Tech To identify and track the data of things and efficient multi-tasking on devices To collect and process the data to detect the changes in the physical status of things To enhance the power of the network by devolving processing capabilities to different part of the network. To make the smaller and smaller things have the ability to connect and interact. Department of Computer Science & Engineering 1119-11-2015
  12. 12. Machine Learning • How to construct computer programs that automatically improve with experience ? • Think of it as foot wears we wear in time adjust to our foot pattern, Such should a computer program. • If our mothers knows what we need at what time then why can’t an advanced algorithm can’t. Department of Computer Science & Engineering 1219-11-2015
  13. 13. Machine Learning and IoT • Google's acquisition of Deep Mind Technologies • In 2011, Stanford computer science professor Andrew N.g founded Google’s Google Brain project, which created a neural network trained with deep learning algorithms, which famously proved capable of recognizing high level concepts, such as cats, after watching just YouTube videos--and without ever having been told what a “cat” is. • Implementation digital assistants in every modern computational devices like Cortana, Google now, Hound, Siri. Department of Computer Science & Engineering 1319-11-2015
  14. 14. What problems can machine learning address? • Spam Detection • Credit Card Fraud Detection • Digit Recognition • Speech Understanding • Face Detection • Product Recommendation • Medical Diagnosis • Stock Trading • Customer Segmentation • Shape Detection Department of Computer Science & Engineering 1419-11-2015
  15. 15. Applications of IoT Education Food Management IoT Applications Retail Logistics Pharmaceuticals Department of Computer Science & Engineering 1519-11-2015
  16. 16. Analytics with IoT What is ANALYTICS ? • Data analytics (DA) is the science of examining raw data with the purpose of drawing conclusions about that information. • Data analytics is used in many industries , companies and organization • They help make better business decisions and in the sciences to verify or disprove existing models or theories. Department of Computer Science & Engineering 1619-11-2015
  17. 17. Cntd… • Iot with analytics is called as IoTA. • It is different from web analytics. eg. – Google analytics • Tellient is one such platform which collects analytic data. Department of Computer Science & Engineering 1719-11-2015
  18. 18. Future works and projects • Many projects came to life recently. • Google separated as a separate company focusing on IoT. • Release of Windows 10. • Next BIT mobile OS released at TTIA on 15/09/2015. • 5G commercial release by 2018 • Newer USB type C/3.1 • At Google I/O 2015 developer conference few beta IoT projects were shown, they are – Project ARA Project Jacquard Project Fi – Hotspot 2.0 Project Tango Project Soli Project Vault Polymer Department of Computer Science & Engineering 1819-11-2015
  19. 19. Windows 10 IoT core edition for Raspberry PI Department of Computer Science & Engineering 1919-11-2015
  20. 20. Project ARA Department of Computer Science & Engineering 2019-11-2015
  21. 21. Project Jacquard Department of Computer Science & Engineering 2119-11-2015
  22. 22. Department of Computer Science & Engineering 2219-11-2015
  23. 23. Project Fi ~ Hotspot 2.0 Department of Computer Science & Engineering 2319-11-2015
  24. 24. Project Tango Department of Computer Science & Engineering 2419-11-2015
  25. 25. Department of Computer Science & Engineering 2519-11-2015
  26. 26. Project Soli Department of Computer Science & Engineering 2619-11-2015
  27. 27. Project Vault Department of Computer Science & Engineering 2719-11-2015
  28. 28. Polymer Department of Computer Science & Engineering 2819-11-2015
  29. 29. Challenges and Issues • Issues • Society: People, security, privacy • A policy for people in the Internet of Things: • Legislation • Environmental aspects • Resource efficiency • Pollution and disaster avoidance • Technological • Architecture (edge devices, servers, discovery services, security, etc.) • Governance, naming, identity, interfaces • Service openness, interoperability • Connections of real and virtual world • Standards Department of Computer Science & Engineering 2919-11-2015
  30. 30. IoT will inherit the drawbacks of the current internet on an infinitely larger, but more invisible scale • Privacy – will be a huge issue when implementing IoT • Identity - Online Fragmentation of Identity • Efficiency – speed - person loses identity and is an IP address • Decisions – do not delegate too much of our decision making and freedom of choice to things and machines • Balancing Cntd… Department of Computer Science & Engineering 3019-11-2015
  31. 31. • Transition to IPv6 – Internet protocol v6 • Establishing a common set of standards between companies, educational systems, and nations. • The same type of cabling, • The same applications or programming • The same protocol or set of rules that will apply to all • Developing energy sources for millions -even billions - of sensors. • Wind • Solar, • Hydro-electric Cntd… Department of Computer Science & Engineering 3119-11-2015
  32. 32. Conclusion • Data is the new OIL. • Completely connected world with help of IoT. • Machine learning and analytics combined with IoT for efficiency, accuracy, Prediction, Smartness etc as common sense. • It is the adaptive development of AI Department of Computer Science & Engineering 3219-11-2015
  33. 33. References • “Gartner Says the Internet of Things Installed Base Will Grow to 26 Billion Units By 2020,” Gartner, 12 Dec. 2013; www.gartner.com/ newsroom/id/2636073. • www.googleprojects/atap/iot/aysdyu • www.google.co.in • www.youtube.com/intel • www.pocketnow.com Department of Computer Science & Engineering 3319-11-2015

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