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Editor-in-chief
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2018 Vol.8(5): 495-500 ISSN: 2010-3700
DOI: 10.18178/ijmlc.2018.8.5.735

GSM-Based Notification System and Location Tagging Using GPS for Smart Recycle Bin

Mohd Helmy Abd Wahab, Nor Shilla Obin, Radzi Ambar, Mohd Razali Tomari, Mohamad Hairol Jabbar, and Aeslina Abdul Kadir
Abstract—This paper describe the design and development of a system to detect the level of recyclable waste in a smart recycle bin and then send notification signals including the locations coordinate to assist the authority to collect and empty the bin. At present, the current system does not provide a notification system mechanism to inform the waste authority that the recycle bin is full and need to be collected. Therefore, an automatic notification system is proposed as to reduce and optimize the collection time. This could also assist the waste collector to re-schedule the collection time and place depending on the regularity of the signal received. This could also reduce the manual collection process which require time and cost of labor. The development of the system involved the use of GSM module to enable the SMS text notification system and some software to manage all the notification received from the bin.

Index Terms—Smart recycle bin, global system for mobile, waste management, global positioning system.

Mohd Helmy Abd Wahab is with the Dept. of Computer Engineering, Universiti Tun Hussein Onn Malaysia, P.O. Box 101, Pt. Raja, Batu Pahat, Johor, Malaysia (e-mail: helmy@uthm.edu.my).

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Cite: Mohd Helmy Abd Wahab, Nor Shilla Obin, Radzi Ambar, Mohd Razali Tomari, Mohamad Hairol Jabbar, and Aeslina Abdul Kadir, "GSM-Based Notification System and Location Tagging Using GPS for Smart Recycle Bin," International Journal of Machine Learning and Computing vol. 8, no. 5, pp. 495-500, 2018.

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