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Remote Laboratory to Develop Hardware for IoT Applications

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Artificial Intelligence and Online Engineering (REV 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 524))

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Abstract

Nowadays monitoring of most of the appliances are being done using IoT (Internet of Things) applications. The challenge in developing these IoT applications is to measure the real time natural physical parameters like temperature, light, wind etc. using sensors and how to interface actuators to meet the requirements. This paper outlines the development of an innovative Remote access system that provides a unique platform for the user to interface the sensors and actuators. There is a provision for developing the code to verify the customized test cases. An important feature of this system is user can visualize the real time implementation of the project which will make the IoT application development faster.

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Author information

Authors and Affiliations

  1. Siddaganga Institute of Technology, Tumkur, Karnataka, India

    Kyathsandra Chandrashekar Narasimhamurthy, Vankalakunti Suchitra, Tumakuru Prasanna Sushma, Satish Kumar Kavana, Ramesh Kumar Deepashree & Krishnagiri Sanna siddappa Harshitha

Authors
  1. Kyathsandra Chandrashekar Narasimhamurthy
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  2. Vankalakunti Suchitra
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  3. Tumakuru Prasanna Sushma
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  4. Satish Kumar Kavana
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  5. Ramesh Kumar Deepashree
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  6. Krishnagiri Sanna siddappa Harshitha
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Corresponding author

Correspondence to Kyathsandra Chandrashekar Narasimhamurthy .

Editor information

Editors and Affiliations

  1. CTI Global, Frankfurt, Germany

    Michael E. Auer

  2. British University in Egypt, El Shorouk, Egypt

    Samir A. El-Seoud

  3. British University in Egypt, El Shorouk, Egypt

    Omar H. Karam

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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Narasimhamurthy, K.C., Suchitra, V., Sushma, T.P., Kavana, S., Deepashree, R., Harshitha, K.S. (2023). Remote Laboratory to Develop Hardware for IoT Applications. In: Auer, M.E., El-Seoud, S.A., Karam, O.H. (eds) Artificial Intelligence and Online Engineering. REV 2022. Lecture Notes in Networks and Systems, vol 524. Springer, Cham. https://doi.org/10.1007/978-3-031-17091-1_13

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