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All Journal Indonesian Journal of Electrical Engineering and Computer Science
Nadia Mahmood Hussien
Mustansiriyah University

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A smart gas leakage monitoring system for use in hospitals Nadia Mahmood Hussien; Yasmin Makki Mohialden; Nada Thanoon Ahmed; Mostafa Abdulghafoor Mohammed; Tole Sutikno
Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 2: August 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v19.i2.pp1048-1054

Abstract

A gas leaks lead to personal and financial damage. Much effort has been dedicated to preventing such leaks and developing reliable techniques for leak detection and leakage localization using sensors. These sensors usually sound an alarm after detecting a dangerous gas in its vicinity. This paper describes a system for detecting a gas leakage from cylinders which notifies the user via the GSM network. The system consists of an LPG gas leakage detector which sends a warning signal to Arduino Uno Microcontroller. The system uses the GSM network to send notifications, a liquid crystal display (LCD) monitor to display the warning message and buzzer to sound the alert.
Smart system for monitoring ammonium nitrate storage warehouse Maha Khalil Ibrahim; Nadia Mahmood Hussien; Saad Najim Alsaad
Indonesian Journal of Electrical Engineering and Computer Science Vol 23, No 1: July 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v23.i1.pp583-589

Abstract

Ammonium nitrate (AN, NH4NO3) is one of the materials used in chemical industry and in agriculture. AN is not considered a fire risk but it is a strong oxidizing agent that can lead to fire and explosion, so, the ammonium nitrate must be stored under specific environmental conditions to avoid the occurrence of dangerous situations. In this paper, a smart monitoring system for Ammonium nitrate storage is developed. The system consists of three-parts: monitoring chemicals system part (MCS), warehouse monitoring part (WMP), and emergency part (EP). MCS includes several hardware components: Arduino microcontroller, Ds18b20 sensor, MQ sensors, system for mobile communication (GSM), global position system (GPS), buzzer, and LCD. Two types of alarms are designed, the first one is for the WMP that to receive the alarm when temperature is exceeds than a specific threshold in chemical warehouse. The second one is for EP. It represents the receiver part to receive the alarm with the location of the place that indicates to certain gases leakage that could cause a fire or explosion. Also, a buzzer is listening and display the sensor state on LCD. The system follows the object-oriented software engineering (OOSE) approach using unified modeling language (UML).
COVID-19 knowledge-based system for diagnosis in Iraq using IoT environment Bashar M. Nema; Yasmin Makki Mohialden; Nadia Mahmood Hussien; Nael Ali Hussein
Indonesian Journal of Electrical Engineering and Computer Science Vol 21, No 1: January 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v21.i1.pp328-337

Abstract

The importance and benefits of healthcare mobile applications is increasing rapidly, especially when such applications are connected to the internet of things (IoT). This paper describes a smart knowledge-based system (KBS) that helps patients showing symptoms of Influenza verify being infected with Coronavirus, commonly known as COVID-19. In addition to the systems’ diagnostic functionality, it helps these patients get medical assistance fast by notifying medical authorities using the IoT. This system displays patient’s location, phone number, date and time of examination. During the applications’ development, the developers used Twilio, short message service (SMS), WhatsApp, and Google map applications.
Co-Authors Bashar M. Nema Maha Khalil Ibrahim Mostafa Abdulghafoor Mohammed Nada Thanoon Ahmed Nael Ali Hussein Saad Najim Alsaad Tole Sutikno Yasmin Makki Mohialden