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Abdelghafor Elgamri

Bio: Abdelghafor Elgamri is an academic researcher from University of Khartoum. The author has contributed to research in topics: The Internet. The author has an hindex of 1, co-authored 1 publications receiving 69 citations.
Topics: The Internet

Papers
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Proceedings ArticleDOI
12 Nov 2015
TL;DR: Experimental results demonstrated that the Raspberry-Pi single-board system is able to accurately measure: temperature, humidity, light level and concentrations of the carbon monoxide harmful air pollutant.
Abstract: This paper proposes an approach to build a cost-effective standardized environmental monitoring device using the Raspberry-Pi (R-Pi) single-board computer. The system was designed using Python Programming language and can be controlled and accessed remotely through an Internet of Things platform. It takes information about the surrounding environment through sensors and uploads it directly to the internet, where it can be accessed anytime and anywhere through internet. Experimental results demonstrated that the system is able to accurately measure: temperature, humidity, light level and concentrations of the carbon monoxide harmful air pollutant. It's also designed to detect earthquakes through an assembled seismic sensor.

77 citations


Cited by
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Journal ArticleDOI
08 Dec 2017-Sensors
TL;DR: The main features of the IoT platform deployed across the engineering schools of the Universidad Politécnica de Madrid in the Moncloa Campus of International Excellence are presented, putting special emphasis on the technological challenges faced and on the solutions adopted.
Abstract: Internet of Things platforms for Smart Cities are technologically complex and deploying them at large scale involves high costs and risks. Therefore, pilot schemes that allow validating proof of concepts, experimenting with different technologies and services, and fine-tuning them before migrating them to actual scenarios, are especially important in this context. The IoT platform deployed across the engineering schools of the Universidad Politecnica de Madrid in the Moncloa Campus of International Excellence represents a good example of a test bench for experimentation with Smart City services. This paper presents the main features of this platform, putting special emphasis on the technological challenges faced and on the solutions adopted, as well as on the functionality, services and potential that the platform offers.

83 citations

Journal ArticleDOI
30 Sep 2018
TL;DR: An overview of the IoT system with highlighting its applications, challenges, and open issues is provided and a comparison between common IoT communication technologies is presented.
Abstract: The Internet of Things (IoT) has become one of the unprecedented research trends for both academic and commercial organizations. Every day, the publicity of the IoT is increased. This is because the unlimited benefits that the IoT can bring to our environment. The IoT has the ability to connect almost all objects of real-world to communicate and cooperate with each other over the Internet to facilitate generating new applications and services that can improve our quality of life. This paper provides an overview of the IoT system with highlighting its applications, challenges, and open issues. It starts with discussing the state-of-the-art of the IoT system and its layered architecture. This is followed by discussing different characteristics of the IoT with presenting a comparison between common IoT communication technologies. Different IoT applications and challenges are also discussed. At the end, open research directions related to the IoT are also presented.

53 citations

Proceedings ArticleDOI
01 Jan 2018
TL;DR: An IOT-based method to monitor the Air Quality Index and the Noise Intensity of a region, have been proposed and it fulfils the objective of analysis of information on a periodical basis.
Abstract: In recent day scenario, the incessant increase in air and sound pollution prove to be an alarming problem. It has become mandatory to control and appropriately monitor the situation so that the required steps to curb the situation can be undertaken. In this project, an IOT-based method to monitor the Air Quality Index and the Noise Intensity of a region, have been proposed. The recommended technology comprises of four modules namely, the Air Quality Index Monitoring Module, the Sound Intensity Detection Module, the Cloud-based Monitoring Module and the Anomaly Notification Module. Firstly, the Air Quality Index is measured considering the presence of the five criteria air pollutants. Then the sound intensity is detected using respective sensor. After that, the Cloud-based Monitoring Module ensures the process of acquiring the data with the help of Wi-fi-module present in Raspberry Pi which fulfils the objective of analysis of information on a periodical basis. Finally, the Anomaly Notification Module alerts the user in case of an undesired condition.

51 citations

Proceedings ArticleDOI
22 May 2017
TL;DR: An open source system that enables networking and computing of edge devices but also processing of data in a server is developed - all being a connected system that is referred to as smart farm computing system.
Abstract: Smart sensing and computing have become important concepts in the last few years, creating opportunities in the new sector of smart agriculture. A few commercial smart agriculture systems have been introduced to this end, and albeit closed for experimentation, are paving the way for high-tech innovations for crop and livestock agriculture. In this paper, we focus on open and low-cost concepts for smart fog (edge) computing systems to create a smart farm animal welfare monitoring system. We develop an open source system that enables networking and computing of edge devices but also processing of data in a server - all being a connected system that we refer to as smart farm computing system. We propose to use Raspberry Pis as edge devices to monitor the animals and the farm environment, and we let the edge devices communicate with a local farm controller. The proposed farm computing system conceptually creates a fog computing layer and is further connected with cloud computing systems and a mobile application. We demonstrate that a low-cost and open computing and sensing system can effectively monitor multiple parameters related to animal welfare.

47 citations

Journal ArticleDOI
TL;DR: This paper deals with measuring the Air Quality using Mq135 sensor along with Carbon Monoxide CO using MQ7 sensor using Machine Learning analysis and proviing a reducement of the cost of components versus the state of the art.
Abstract: This paper deals with measuring the Air Quality using MQ135 sensor along with Carbon Monoxide CO using MQ7 sensor. Measuring Air Quality is an important element for bringing awareness to take care of the future generations and for a healthier life. Based on this, Government of India has already taken certain measures to ban Single Stroke and Two Stroke Engine based motorcycles which are emitting high pollution. We are trying to implement a system using IoT platforms like Thingspeak or Cayenne in order to bring awareness to every individual about the harm we are doing to our environment. Already, New Delhi is remarked as the most pollution city in the world recording Air Quality above 300 PPM. We have used easiest platform like Thingspeak and set the dashboard to public such that everyone can come to know the Air Quality at the location where the system is installed. Machine Learning analysis brings us a lot of depth in understanding the information that we obtained from the data. Moreover, we are proviing a reducement of the cost of components versus the state of the art.

42 citations