Abbas Abdullahi

Automatic Hand Washing Machine with Soap Dispenser using Arduino

This is an automatic water and soap dispenser that uses simple components. The system used two w... more This is an automatic water and soap dispenser that uses simple components. The system used two water tanks one for the water and the other one for the liquid soap, both the two tanks connected to a single tap using T-Junction with non return valve. Each tank connected to water pump machine to supply it contents to the tap. The system also used Ultrasonic sensor for the detection of Hands at a specified distance.

Working Principle

When hand detected the soap tank supply the liquide soap and stop, you can then remove and squeezing hands, when you take it back and detected by the sensor again the water tank would then supply water for you to wash your hand. The water stoped immediately as you removed your hands.

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Development of a Smart Waste Management System with Automatic Bin Lid Control for Smart City Environment

EAI endorsed transactions on smart cities, Apr 18, 2024

As cities worldwide transform into smart interconnected urban environments, the management of mun... more As cities worldwide transform into smart interconnected urban environments, the management of municipal waste emerges as a pressing challenge. This paper, offers a sophisticated solution that integrates seamlessly within the concept of smart cities. This system harnesses the power of the Internet of Things (IoT) to optimize waste collection and enhance urban cleanliness. The primary aim of this research is to create a smart waste management system that extends beyond traditional waste bins. It introduces a network of intelligent waste containers equipped with automatic lid control mechanisms that operate based on real-time waste level data. When approaching these bins, the lid control mechanism automatically opens the bin only if the waste level is not full thereby, facilitating convenient waste disposal. In the context of smart cities, this innovative approach presents several advantages. It optimizes waste collection efficiency by prioritizing bins in need of immediate attention and ensures that waste containers are not prematurely emptied, reducing unnecessary waste disposal trips. Moreover, the system enables city authorities to gain insights into waste level trends, fostering data-driven and proactive waste management strategies for a cleaner, more sustainable urban environment.

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Intelligent Aircraft Hangar Fire Detection and Location System Based on Wireless Sensor Network

EAI endorsed transactions on smart cities, Oct 4, 2023

Fire detection systems in aircraft hangars are vital for safeguarding both the facility's assets ... more Fire detection systems in aircraft hangars are vital for safeguarding both the facility's assets and the aircraft within. When it comes to anticipating potential fire incidents in the context of a smart city, Intelligent Aircraft Hangar Fire Detection systems emerge as high-performance solutions. These systems are meticulously designed around the core concept of a wireless sensor network (WSN). They operate by deploying three sensor nodes strategically within the aircraft hangar, each tasked with measuring gas concentrations in the ambient air. These measurements are then relayed to a central base station (BS) and subsequently transmitted to a central server for real-time analysis and risk assessment. The server harnesses the power of Machine Learning (ML) techniques to scrutinize the incoming data, combining it with reference gas data. This amalgamation is processed and translated into a dynamic report, which is instantly displayed on a user-friendly Graphic User Interface (GUI). In situations where smoke or gas concentrations reach critical levels, the server's predictive capabilities come into play. It proactively identifies high concentration zones on the GUI, serving as an early warning system. Simultaneously, it pinpoints the potential source and location of the fire outbreak, thus expediting emergency response procedures. In the broader context of a smart city, the integration of such Intelligent Aircraft Hangar Fire Detection systems extends their utility beyond hangar-specific safety. Data generated by these systems can be seamlessly integrated into the city's overarching safety infrastructure, facilitating swifter and more coordinated responses to fire emergencies across the urban landscape. By doing so, these systems contribute significantly to enhancing urban safety, protecting critical assets, and, most importantly, preserving human lives within the smart city framework.

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Design and Modelling of Ground Proximity Warning System (GPWS) for Training Aid

Open Journal of Engineering Science (ISSN: 2734-2115)

Controlled flight into terrain (CFIT) is the most common type of aircraft crashes in the world of... more Controlled flight into terrain (CFIT) is the most common type of aircraft crashes in the world of aviation today. Following the sheer volume of terrain collisions, there was an introduction of CFIT classification to enable the grouping into one category of all crashes involving aircrafts colliding with terrains. To avert CFIT accidents, the Ground Proximity Warning System (GPWS) was introduced onboard the aircraft for the flight crew to be aware of the moment the aircraft is approaching a ground terrain via automatic and very distinct acoustic warning. This paper presents a digital display ground proximity warning system as a teaching aid with audio prompt using ultrasonic sensor to produce forward distance from aircraft to obstacle ahead, height, inclination of aircraft in relation to its terrain beneath the aircraft and a digital computer interface for instrument visualization for better performance using graphic user interface (GUI) thereby enabling clearer understanding on GPWS....

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Development of a Smart Waste Management System with Automatic Bin Lid Control for Smart City Environment

EAI Endorsed Transactions on Smart Cities, 2024

As cities worldwide transform into smart interconnected urban environments, the management of mun... more As cities worldwide transform into smart interconnected urban environments, the management of municipal waste emerges as a pressing challenge. This paper, offers a sophisticated solution that integrates seamlessly within the concept of smart cities. This system harnesses the power of the Internet of Things (IoT) to optimize waste collection and enhance urban cleanliness. The primary aim of this research is to create a smart waste management system that extends beyond traditional waste bins. It introduces a network of intelligent waste containers equipped with automatic lid control mechanisms that operate based on real-time waste level data. When approaching these bins, the lid control mechanism automatically opens the bin only if the waste level is not full thereby, facilitating convenient waste disposal. In the context of smart cities, this innovative approach presents several advantages. It optimizes waste collection efficiency by prioritizing bins in need of immediate attention and ensures that waste containers are not prematurely emptied, reducing unnecessary waste disposal trips. Moreover, the system enables city authorities to gain insights into waste level trends, fostering data-driven and proactive waste management strategies for a cleaner, more sustainable urban environment.

Download

Intelligent Aircraft Hangar Fire Detection and Location System Based on Wireless Sensor Network in A Smart City

EAI Endorsed Transactions on Smart Cities, 2023

Fire detection systems in aircraft hangars are vital for safeguarding both the facility's assets ... more Fire detection systems in aircraft hangars are vital for safeguarding both the facility's assets and the aircraft within. When it comes to anticipating potential fire incidents in the context of a smart city, Intelligent Aircraft Hangar Fire Detection systems emerge as high-performance solutions. These systems are meticulously designed around the core concept of a wireless sensor network (WSN). They operate by deploying three sensor nodes strategically within the aircraft hangar, each tasked with measuring gas concentrations in the ambient air. These measurements are then relayed to a central base station (BS) and subsequently transmitted to a central server for real-time analysis and risk assessment. The server harnesses the power of Machine Learning (ML) techniques to scrutinize the incoming data, combining it with reference gas data. This amalgamation is processed and translated into a dynamic report, which is instantly displayed on a user-friendly Graphic User Interface (GUI). In situations where smoke or gas concentrations reach critical levels, the server's predictive capabilities come into play. It proactively identifies high concentration zones on the GUI, serving as an early warning system. Simultaneously, it pinpoints the potential source and location of the fire outbreak, thus expediting emergency response procedures. In the broader context of a smart city, the integration of such Intelligent Aircraft Hangar Fire Detection systems extends their utility beyond hangar-specific safety. Data generated by these systems can be seamlessly integrated into the city's overarching safety infrastructure, facilitating swifter and more coordinated responses to fire emergencies across the urban landscape. By doing so, these systems contribute significantly to enhancing urban safety, protecting critical assets, and, most importantly, preserving human lives within the smart city framework.

Download

DESIGN AND MODELLING OF GROUND PROXIMITY WARNING SYSTEM (GPWS) FOR TRAINING AID

Open Journal of Engineering Science (OJES), 2023

Controlled flight into terrain (CFIT) is the most common type of aircraft crashes in the world of... more Controlled flight into terrain (CFIT) is the most common type of aircraft crashes in the world of aviation today. Following the sheer volume of terrain collisions, there was an introduction of CFIT classification to enable the grouping into one category of all crashes involving aircrafts colliding with terrains. To avert CFIT accidents, the Ground Proximity Warning System (GPWS) was introduced onboard the aircraft for the flight crew to be aware of the moment the aircraft is approaching a ground terrain via automatic and very distinct acoustic warning. This paper presents a digital display ground proximity warning system as a teaching aid with audio prompt using ultrasonic sensor to produce forward distance from aircraft to obstacle ahead, height, inclination of aircraft in relation to its terrain beneath the aircraft and a digital computer interface for instrument visualization for better performance using graphic user interface (GUI) thereby enabling clearer understanding on GPWS. The Arduino IDE using Arduino sketch and C language were used on the Arduino Uno. The aircraft was integrated with different electronic modules which includes Arduino single board, Ultrasonic sensor, accelerometer and transceiver module, and all these uses the Arduino to read the signal from the sensor, processes and transmit to the base station wirelessly via radio frequency. Simulation results indicates that the responses of the models are a replica of the actual aircraft operations.

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