Work place: School of Computing and Engineering, University of West London, W5 5RF, United Kingdom
E-mail: nagham.saeed@uwl.ac.uk
Website: https://scholar.google.com/citations?user=a4M56xMAAAAJ&hl=en
Research Interests: Mathematics of Computing, Internet of Things, Machine Learning, Artificial Intelligence
Biography
Dr. Nagham Saeed received her Ph.D. degree in optimised wireless communication networks from Brunel University, U.K., in 2012. Since 2007, Professor Nagham Saeed has been deeply engaged in the realm of electrical and electronic engineering, seamlessly integrating teaching and research. In 2011, she successfully concluded her doctoral investigation, titled "Intelligent MANET Optimisation System", at Brunel University in the UK. Her scholarly pursuits encompass both core subject research and pedagogical exploration. Her extensive research delves into the realm of intelligent systems for smart cities, wherein she designs online monitoring systems and applies artificial intelligence algorithms to drive modelling and optimisation, resulting in publications in esteemed journals across telecommunications, modelling, industry applications, information and smart power. She is also the head of the Industrial Internet of Things (IIoT) research group at her university and has actively contributed to Technical Programme Committees and Editorial Boards for many well-known international conferences and journals. Her expertise extends to reviewing and editing for top-tier international scientific publications, including submissions to IEEE conferences and MDPI journals.
By Audrius Urbonavicius Nagham Saeed
DOI: https://doi.org/10.5815/ijem.2019.05.01, Pub. Date: 8 Sep. 2019
Building’s Air Conditioning systems require moving liquids for dweller comfort. Clogged pipes, system degradation can cause pressure buildups, leaks and other faults which leads to damage to the building. Most of the leaks in the commercial building occur due to poor maintenance and/or material degradation. Visual inspection is most predominantly used to solve this problem in the industry. This paper introduces the Internet of Things technology to detect leakage in building’s hydronic pipes with the support of sensors, fault detection method and mechanical control. The system consists of: Microcontroller, Windows application and website application. Internet of Things technology was used to monitor and control the hydronics using microcontroller’s capability of connecting to main server which is used to transmit the data to the cloud. The prototype was successfully built and tested. Promising results show that leaks above 2ml/s could be detected after 4 seconds specifically for the built small-scale system while control and monitor feature could be implemented with Internet of Things technology.
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