R
R. A. Ramlee
Researcher at Universiti Teknikal Malaysia Melaka
Publications - 48
Citations - 485
R. A. Ramlee is an academic researcher from Universiti Teknikal Malaysia Melaka. The author has contributed to research in topics: Bluetooth & Iridology. The author has an hindex of 10, co-authored 45 publications receiving 405 citations. Previous affiliations of R. A. Ramlee include Universiti Putra Malaysia.
Papers
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Bluetooth Remote Home Automation System Using Android Application
R. A. Ramlee,Man Hong Leong,Ranjit Singh Sarban Singh,Mohd Muzafar Ismail,Mohd Azlishah Othman,Hamzah Asyrani Sulaiman,Mohamad Harris Misran,Maizatul Alice Meor Said +7 more
TL;DR: The overall design of Home Automation System (HAS) with low cost and wireless remote control, intended to control electrical appliances and devices in house with relatively low cost design, user-friendly interface and ease of installation.
Proceedings ArticleDOI
Smart home system using android application
TL;DR: The overall design of Home Automation System (HAS) with low cost and wireless remote control, intended to control electrical appliances and devices in house with relatively low cost design, user-friendly interface and ease of installation.
Proceedings ArticleDOI
Smart home system for Disabled People via Wireless Bluetooth
TL;DR: Results from this study found that the system was successfully produced where it was able to control any of the wireless switches at a distance of approximately 25 meter radius from the main controller.
Proceedings ArticleDOI
Using Iris Recognition Algorithm, Detecting Cholesterol Presence
R. A. Ramlee,S. S. S. Ranjit +1 more
TL;DR: Based on the iris recognition methods and iridology chart, a MATLAB program has been created to detect the present of cholesterol in human body.
Journal ArticleDOI
Natural image noise removal using nonlocal means and hidden Markov models in transform domain
TL;DR: The proposed algorithm has the ability to show denoised images better than the results of state-of-the-art denoising methods both objectively in peak signal-to-noise ratio and structural similarity and subjectively using visual results, especially when the noise level is high.