Masters

Aug 1, 2014 - Aug 1, 2016

Masters in computer engineering

NTU [Mr.]

Dec 21, 2017 - Present

Lecturer

USING TECHNOLOGY TO COMBAT SNORING: THE DEVELOPMENT OF THE EFFICACY OF A MICROCONTROLLER-BASED SMART PILLOW

Apr 1, 2024

Journal Diagnostyka

publisher Polish Society of Technical Diagnostics

DOI https://doi.org/10.29354/diag/195458

Volume 25

This article aims to introduce a prototype design for a smart pillow that helps with snoring detection and treatment during sleep. The main purpose of the design is to present an effective solution for snoring without medication or invasive procedures, this device was low cost, and easy to use by individuals, which leads to both: sleep quality improvement and decrease in snoring. The results showed up to 75% decrease in snoring. The proposed design utilizes microcontrollers, sound sensor, air motors, air pads, humidity and temperature sensors. The air motors pumps air into the pillow to change the sleeper’s head position in order to reduce snoring when the sound sensor detects the snoring frequency while the microcontroller commands the air motors to fill the air pads accordingly.

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Implementation of WSN based Smart Irrigation System

Jun 6, 2023

Journal PRZEGLĄD ELEKTROTECHNICZNY

publisher Wydawnictwo SIGMA-NOT

DOI 10.15199/48.2023.06.06

Issue 6

Volume 99

This research paper introduces a real-time, fully automated wireless sensor network (WSN) prototype for irrigation systems in agricultural fields. This automated WSN depends on the soil conditions, like the soil moisture, and takes action accordingly. The WSN is based on the ZigBee protocol represented in the XBee module. The aim is to protect the crops from over/under watering resulting in better crop quality and quantity. Also, this WSN reduces human intervention costs and eliminates or reduces water waste to the minimum acceptable extent. The WSN nodes are classified into three types, the coordinator node, the sensing node, and the relaying node. Sleep mode is used in the sensing node while inactive to achieve the best possible energy savings strategy. Four zones are to be considered in this experimental study. Results showed that the water flows only about 35% of the time of the six observation hours on average in the four zones.

Estimation of the number of people in an indoor environment based on wifi received signal strength indicator

Jun 1, 2021

Journal Bulletin of Electrical Engineering and Informatics (BEEI)

publisher Institute of Advanced Engineering and Science (IAES)

DOI https://doi.org/10.11591/eei.v10i3.3038

Issue 3

Volume 10

WiFi access points are widely spread everywhere in all our daily life routines. Using these devices to provide services other than the Internet is becoming familiar nowa-days. This paper conducts an experimental study to estimate the number of people in an indoor environment through two system setups, line of sight, and non-line of sight. Relationship modeling between WiFi received signal and the number of people uses polynomial regression. The experiment comprised of two stages: first is the data col-lection from a controlled number of people. Then, the collected data used to train the system through polynomial regression. The second is testing the system’s effective-ness by applying it to an uncontrolled environment. Testing results revealed efficiency in using WiFi received signal strength to do the people counting (up to 60) because of the accuracy achievements of 93.17% in the line of sight system. The non-line of sight system disclosed randomness in the received signal strength indicator regardless of the change in the number of people. The randomness is mainly caused by the fading effect of the concrete wall. Therefore it is inefficient to use the non-line of sight system in concrete buildings. © 2021, Institute of Advanced Engineering and Science. All rights reserved.

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