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IoT Application Layer: Case Studies and Real Applications

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Abstract

Internet of Things (IoT) is a growing industry. Analysts predict that (IoT) products and services will grow exponentially in next years. It is a confluence of different sectors: embedded systems, communication systems, sensors/actuators, WWW, and mobile applications. Use Internet of Things Technology to solve all problems in different life sectors: healthcare, museums, libraries, inventory management, advertisement, real-estate identification, food tracking, maintenance, radiation/pollution monitoring, and security [1].

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... At the same time, the final summary of class monitoring is being stored at the cloud storage. RFID or related sensors are widely used for attendance and academic monitoring, payment, animal tagging, postal tracking, airline baggage reconciliation, road toll management, control track manufacturing systems [6], collecting museum visitor behavior [7,8], campus intelligent security system [8,9], etc. Another part of this framework is content monitoring. ...
... At the same time, the final summary of class monitoring is being stored at the cloud storage. RFID or related sensors are widely used for attendance and academic monitoring, payment, animal tagging, postal tracking, airline baggage reconciliation, road toll management, control track manufacturing systems [6], collecting museum visitor behavior [7,8], campus intelligent security system [8,9], etc. Another part of this framework is content monitoring. ...
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... At the same time, the final summary of class monitoring is being stored at the cloud storage. RFID or related sensors are widely used for attendance and academic monitoring, payment, animal tagging, postal tracking, airline baggage reconciliation, road toll management, control track manufacturing systems [6], collecting museum visitor behavior [7,8], campus intelligent security system [8,9], etc. Another part of this framework is content monitoring. ...
... At the same time, the final summary of class monitoring is being stored at the cloud storage. RFID or related sensors are widely used for attendance and academic monitoring, payment, animal tagging, postal tracking, airline baggage reconciliation, road toll management, control track manufacturing systems [6], collecting museum visitor behavior [7,8], campus intelligent security system [8,9], etc. Another part of this framework is content monitoring. ...
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A lot of different methods are being opted for improving the educational standards through monitoring of the classrooms. The developed world uses Smart classrooms to enhance faculty efficiency based on accumulated learning outcomes and interests. Smart classroom boards, audio-visual aids, and multimedia are directly related to the Smart classroom environment. Along with these facilities, more effort is required to monitor and analyze students’ outcomes, teachers’ performance, attendance records, and contents delivery in on-campus classrooms. One can achieve more improvement in quality teaching and learning outcomes by developing digital twins in on-campus classrooms. In this article, we have proposed DeepClass-Rooms, a digital twin framework for attendance and course contents monitoring for the public sector schools of Punjab, Pakistan. DeepClassRooms is cost-effective and requires RFID readers and high-edge computing devices at the Fog layer for attendance monitoring and content matching, using convolution neural network for on-campus and online classes.
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Internet of robotic things: Concept, technologies, and challenges
  • P P Ray
  • PP Ray
Ray, P. P. (2016). Internet of robotic things: Concept, technologies, and challenges. IEEE Access, 4, 9489. https://doi.org/10.1109/ACCESS.2017.2647747.
5 internet of things (IoT) trends in 2017-19-IoT worm. IoT Worm
  • Y Mehta
  • J Mounika
Mehta, Y., & Mounika, J. (2017). 5 internet of things (IoT) trends in 2017-19-IoT worm. IoT Worm. [Online]. Retrieved August 13, 2017, from http://iotworm. com/5-internet-things-iot-trends-2017-19/.
7 Best Developer Tools to Build your Next Internet of Things Application. Losant
  • C Key
Key, C. (2017). 7 Best Developer Tools to Build your Next Internet of Things Application. Losant. [Online].
Digital technology adoption in the smart built environment. IET Sector Technical Briefing
  • Barnaghi
Barnaghi et al. (2015). Digital technology adoption in the smart built environment. IET Sector Technical Briefing. The Institution of Engineering and Technology (IET), I. Borthwick (editor).
IOT Based Smart Power Metering
  • A Kurde
  • V S Kulkarni
Kurde, A., & Kulkarni, V. S. (2016). IOT Based Smart Power Metering. International Journal of Scientific and Research Publications., 6(9), 411-415.
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  • Cisco
Cisco. (2017). Smart Traffic Management with Real Time Data Analysis. [Online].
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  • J Mounika
  • A Prince
  • Y Mehta
  • H Nivas
  • A Mahendra
Mounika, J., Prince, A., Mehta, Y., Nivas, H., & Mahendra, A. (2017). Machine to machine communication examples and applications. IoT Worm, 2017. [online]. Retrieved August 13, 2017, from http://iotworm.com/machine-machine-communication-examples-applications/.
Energy efficient smart home automation system
  • A Kumar
  • N Tiwari
Kumar, A., & Tiwari, N. (2015). Energy efficient smart home automation system. International Journal of Scientific Engineering and Research, 3(1), 9-11.
Stack4Things as a fog computing platform for Smart City applications
  • D Bruneo
  • S Distefano
  • F Longo
  • G Merlino
  • A Puliafito
  • V Amico
  • M Sapienza
  • G Torrisi
Smart agriculture system based on deep learning
  • H B Fiehn
Benedict Occhiogrosso Blockchain mechanisms for IoT security Internet of Things
  • Daniel Minoli
Daniel Minoli, Benedict Occhiogrosso Blockchain mechanisms for IoT security Internet of Things, 2018, 1-2, 1.
Smart energy meter using Arduino and GSM
  • S Chauduri
  • P Rathod
  • A Shaikh
Real time energy measurement using smart meter
  • P Jayant
Emergency Tracking system for women using body Sensors via Wrist watches using Internet of Things (IOT)
  • S Gaonkar
  • A C Meghashree
Gaonkar, S., & Meghashree, A. C. (2017). Emergency Tracking system for women using body Sensors via Wrist watches using Internet of Things (IOT). International Research Journal of Engineering and Technology (IRJET), 4(8), 55-58.
Industrial automation using IoT with raspberry pi
  • H K Merchant
  • D D Ahire
  • HK Merchant
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  • Apple