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An Investigation of Raindrop Size in Raindrop Energy Harvesting Application via Photography and Image Processing Approach

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The 8th International Conference on Robotic, Vision, Signal Processing & Power Applications

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 291))

Abstract

Renewable energy is gaining more attention as a new source of energy. Among all the renewable energies, kinetic energy is the most readily available energy source. One of potential kinetic energy to be utilized in energy harvesting is from the raindrop energy. The generated energy depends greatly on the size of raindrops. Therefore, it is important to study the raindrops characteristics prior for further investigation in the raindrop energy. This paper discusses the prediction of the size of raindrop based on simulated droplet using syringe pump. Edge detection segmentation method is applied to the image to detect the diameter of water droplet.

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Acknowledgements

The authors would like to express sincere appreciation for Fundamental Research Grant Scheme (FRGS), 203/PELECT/6071224.

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Authors and Affiliations

  1. School of Electrical and Electronic Engineering, Universiti Sains Malaysia, 14300, Nibong Tebal, Pulau Pinang, Malaysia

    Chin-Hong Wong, Joanne Neoh, Zuraini Dahari & Asrulnizam Abd Manaf

Authors
  1. Chin-Hong Wong
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  2. Joanne Neoh
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  3. Zuraini Dahari
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  4. Asrulnizam Abd Manaf
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Corresponding author

Correspondence to Chin-Hong Wong .

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Editors and Affiliations

  1. School of Electrical & Electronic Engineering, Universiti Sains Malaysia, Nibong Tebal, Malaysia

    Harsa Amylia Mat Sakim

  2. School of Electrical & Electronic Engineering, Universiti Sains Malaysia, Nibong Tebal, Malaysia

    Mohd Tafir Mustaffa

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© 2014 Springer Science+Business Media Singapore

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Wong, CH., Neoh, J., Dahari, Z., Manaf, A.A. (2014). An Investigation of Raindrop Size in Raindrop Energy Harvesting Application via Photography and Image Processing Approach. In: Mat Sakim, H., Mustaffa, M. (eds) The 8th International Conference on Robotic, Vision, Signal Processing & Power Applications. Lecture Notes in Electrical Engineering, vol 291. Springer, Singapore. https://doi.org/10.1007/978-981-4585-42-2_45

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  • DOI: https://doi.org/10.1007/978-981-4585-42-2_45

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-4585-41-5

  • Online ISBN: 978-981-4585-42-2

  • eBook Packages: EngineeringEngineering (R0)

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