Skip to main content

Research Repository

Advanced Search

Browse


A Low-Cost Platform for Real Time Data Acquisition and Fractional Control with Application to a DC motor (2023)
Journal Article
Kerrouche, A. (in press). A Low-Cost Platform for Real Time Data Acquisition and Fractional Control with Application to a DC motor. International Journal of Power Electronics and Drive Systems,

This paper presents a low-cost experimental platform for real time data acquisition, identification and fractional order control of some low dynamic systems via Arduino-Simulink interface. As a demonstrative example, a DC motor is considered and mode... Read More about A Low-Cost Platform for Real Time Data Acquisition and Fractional Control with Application to a DC motor.

A Review on Cadmium and Lead Contamination: Sources, Fate, Mechanism, Health Effects and Remediation Methods (2022)
Journal Article
Bouida, L., Rafatullah, M., Kerrouche, A., Qutob, M., Alosaimi, A. M., Alorfi, H. S., & Hussein, M. A. (2022). A Review on Cadmium and Lead Contamination: Sources, Fate, Mechanism, Health Effects and Remediation Methods. Water, 14(21), Article 3432. https://doi.org/10.3390/w14213432

Cadmium and lead soil contamination is a widespread environmental problem that requires profound and sustainable solutions. These toxic elements can be naturally occurring on the Earth’s crust or from man-made origins. Cadmium and lead could accumula... Read More about A Review on Cadmium and Lead Contamination: Sources, Fate, Mechanism, Health Effects and Remediation Methods.

Deep-Learning and Vibration-Based System for Wear Size Estimation of Railway Switches and Crossings (2021)
Journal Article
Najeh, T., Lundberg, J., & Kerrouche, A. (2021). Deep-Learning and Vibration-Based System for Wear Size Estimation of Railway Switches and Crossings. Sensors, 21(15), Article 5217. https://doi.org/10.3390/s21155217

The switch and crossing (S&C) is one of the most important parts of the railway infrastructure network due to its significant influence on traffic delays and maintenance costs. Two central questions were investigated in this paper: (I) the first ques... Read More about Deep-Learning and Vibration-Based System for Wear Size Estimation of Railway Switches and Crossings.

Experimental Strain Measurement Approach Using Fiber Bragg Grating Sensors for Monitoring of Railway Switches and Crossings (2021)
Journal Article
Kerrouche, A., Najeh, T., & Jaen-Sola, P. (2021). Experimental Strain Measurement Approach Using Fiber Bragg Grating Sensors for Monitoring of Railway Switches and Crossings. Sensors, 21(11), Article 3639. https://doi.org/10.3390/s21113639

Railway infrastructure plays a major role in providing the most cost-effective way to transport freight and passengers. The increase in train speed, traffic growth, heavier axles, and harsh environments make railway assets susceptible to degradation... Read More about Experimental Strain Measurement Approach Using Fiber Bragg Grating Sensors for Monitoring of Railway Switches and Crossings.

Holistic Modelling and Parametric Study of Bathroom Solar Hot Water Heating System (2021)
Journal Article
Oye, T. K., Gupta, N., Goh, K., Kerrouche, A., & Oye, T. T. (2021). Holistic Modelling and Parametric Study of Bathroom Solar Hot Water Heating System. Environmental management and sustainable development, 10(3), 36-61. https://doi.org/10.5296/emsd.v10i3.18519

One of the major issues facing the world in the 21st century is climate change. However, sustainability has become a crucial concept to combat extreme consumption of environmental resources. The bathroom has been estimated to be the principal user of... Read More about Holistic Modelling and Parametric Study of Bathroom Solar Hot Water Heating System.

Development of a Sustainable Theoretical Framework for a Renewable Based Bathroom Unit (2021)
Journal Article
Oye, T. K., Gupta, N., Goh, K., Kerrouche, A., & Oye, T. T. (2021). Development of a Sustainable Theoretical Framework for a Renewable Based Bathroom Unit. Environmental management and sustainable development, 10(3), 10-35. https://doi.org/10.5296/emsd.v10i3.18537

One of the major issues facing the world in the 21st century is climate change. However, sustainability has become a crucial concept to combat extreme consumption of environmental resources. The bathroom has been estimated to be the principal user of... Read More about Development of a Sustainable Theoretical Framework for a Renewable Based Bathroom Unit.

Implementation of Blockchain Consensus Algorithm on Embedded Architecture (2021)
Journal Article
Kerrouche, A., Frikha, T., Chaabane, F., Aouint, N., Cheikhrouhou, O., & Ben Amor, N. (2021). Implementation of Blockchain Consensus Algorithm on Embedded Architecture. Security and Communication Networks, 2021, Article 9918697. https://doi.org/10.1155/2021/9918697

The adoption of Internet of Things (IoT) technology across many applications, such as autonomous systems, communication, and healthcare, is driving the market’s growth at a positive rate. The emergence of advanced data analytics techniques such as bl... Read More about Implementation of Blockchain Consensus Algorithm on Embedded Architecture.

Design a Monitoring System For Pathogen Detection Using Microfluidic Technology (2020)
Conference Proceeding
Kerrouche, A., Lithgow, J., & Alwis, L. (2020). Design a Monitoring System For Pathogen Detection Using Microfluidic Technology. In G. Cranch, A. Wang, M. Digonnet, & P. Dragic (Eds.), Optical Fiber Sensors Conference 2020 Special Edition. https://doi.org/10.1364/OFS.2020.Th4.6

Waterborne pathogens affect all waters globally and proceed to be a ongoing concern. The act to provide clean water by filtration is effective although has concerns. Previous methods for detection and removal of pathogens consist of a... Read More about Design a Monitoring System For Pathogen Detection Using Microfluidic Technology.

A Highly-Efficient Fuzzy-Based Controller With High Reduction Inputs and Membership Functions for a Grid-Connected Photovoltaic System (2020)
Journal Article
Farah, L., Hussain, A., Kerrouche, A., Ieracitano, C., Ahmad, J., & Mahmud, M. (2020). A Highly-Efficient Fuzzy-Based Controller With High Reduction Inputs and Membership Functions for a Grid-Connected Photovoltaic System. IEEE Access, 8, 163225-163237. https://doi.org/10.1109/access.2020.3016981

Most conventional Fuzzy Logic Controller ( FLC ) rules are based on the knowledge and experience of expert operators: given a specific input, FLCs produce the same output. However, FLCs do not perform very well when dealing with complex problems that... Read More about A Highly-Efficient Fuzzy-Based Controller With High Reduction Inputs and Membership Functions for a Grid-Connected Photovoltaic System.

The use of video presentation to improve assessment (2020)
Presentation / Conference
Kerrouche, A. (2020, July). The use of video presentation to improve assessment. Presented at International Symposium of Engineering Education (ISEE), Glasgow

Kerrouche, A. (2020, July). The use of video presentation to improve assessment. Presented at International Symposium of Engineering Education (ISEE), Glasgow.

Towards the Development of Rapid and Low-Cost Pathogen Detection Systems Using Microfluidic Technology and Optical Image Processing (2020)
Journal Article
Kerrouche, A., Lithgow, J., Muhammad, I., & Romdhani, I. (2020). Towards the Development of Rapid and Low-Cost Pathogen Detection Systems Using Microfluidic Technology and Optical Image Processing. Applied Sciences, 10(7), Article 2527. https://doi.org/10.3390/app10072527

Waterborne pathogens affect all waters globally and proceed to be an ongoing concern. Previous methods for detection of pathogens consist of a high test time and a high sample consumption, but they are very expensive and require specialist operators.... Read More about Towards the Development of Rapid and Low-Cost Pathogen Detection Systems Using Microfluidic Technology and Optical Image Processing.

Height Prediction for Growth Hormone Deficiency Treatment Planning Using Deep Learning (2020)
Conference Proceeding
Ilyas, M., Ahmad, J., Lawson, A., Khan, J. S., Tahir, A., Adeel, A., …Hussain, A. (2020). Height Prediction for Growth Hormone Deficiency Treatment Planning Using Deep Learning. In Advances in Brain Inspired Cognitive Systems (76-85). https://doi.org/10.1007/978-3-030-39431-8_8

Prospective studies using longitudinal patient data can be used to help to predict responsiveness to Growth Hormone (GH) therapy and assess any suspected risks. In this paper, a novel Clinical Decision Support System (CDSS) is developed to predict gr... Read More about Height Prediction for Growth Hormone Deficiency Treatment Planning Using Deep Learning.

Monitoring of drinking water quality using automated ATP quantification (2019)
Journal Article
Hansen, C., Kerrouche, A., Tatari, K., Rasmussen, A., Ryan, T., Summersgill, P., …Albrechtsen, H. (2019). Monitoring of drinking water quality using automated ATP quantification. Journal of Microbiological Methods, 165, 105713. https://doi.org/10.1016/j.mimet.2019.105713

A microfluidic based system was developed for automated online method for the rapid detection and monitoring of drinking water contamination utilising microbial Adrenosine-5′-Triphosphate (ATP) as a bacterial indicator. The system comprises a polymet... Read More about Monitoring of drinking water quality using automated ATP quantification.

Pathogen detection in bathing waters using microfluidic technology, image processing and deep learning (2019)
Presentation / Conference
Kerrouche, A., Muhammad, I., Rueckert, S., & Lawson, A. (2019, June). Pathogen detection in bathing waters using microfluidic technology, image processing and deep learning. Poster presented at Research Conference, Edinburgh Napier University

Monitoring the quality of recreational waters such as beaches and rivers is becoming a global concern to protect human health (e.g. the EU Bathing Water Directive (BWD) in Europe). In Scotland, water quality at 86 designated bathing water sites is as... Read More about Pathogen detection in bathing waters using microfluidic technology, image processing and deep learning.

Development Of An Early Warning System For Pathogen Detection In Aquaculture Facilities (2019)
Presentation / Conference
Kerrouche, A. (2019, June). Development Of An Early Warning System For Pathogen Detection In Aquaculture Facilities. Presented at Research Conference, Edinburgh Napier University

This project aims to develop an early warning system to monitor the pathogen Neoparamoeba perurans, a free-living and parasitic protist and the causative agent of Amoebic Gill Disease (AGD) for the application in aquaculture facilities. The system is... Read More about Development Of An Early Warning System For Pathogen Detection In Aquaculture Facilities.

Optical Fiber Sensor Design for Ground Slope Movement Monitoring for Railway Safety Operations (2018)
Conference Proceeding
Hook, D., Laing, W., Kerrouche, A., Barreto Gonzalez, D., & Alwis, L. S. (2018). Optical Fiber Sensor Design for Ground Slope Movement Monitoring for Railway Safety Operations. In 2018 IEEE Sensors Proceedings (1-4). https://doi.org/10.1109/ICSENS.2018.8589835

Scour and slope instability are a major issue in keeping the railway structures safe and operational. Conventional measurement techniques do not allow real-time monitoring of slope movement and/or are time/resource consuming. Novel fiber optic techno... Read More about Optical Fiber Sensor Design for Ground Slope Movement Monitoring for Railway Safety Operations.

Towards the Development of New Integrated Ultrasonic Filtration Systems for Monitoring Waterborne Pathogens (2018)
Presentation / Conference
Kerrouche, A. (2018, November). Towards the Development of New Integrated Ultrasonic Filtration Systems for Monitoring Waterborne Pathogens. Paper presented at 5th World Congress and Expo on Applied Microbiology, Edinburgh, Scotland

The detection of waterborne pathogens mainly relies on sample processing. This process concentrates large volume of water to very small volume that can be used under microscopes. The current approved concentration techniques are slow, very expensive,... Read More about Towards the Development of New Integrated Ultrasonic Filtration Systems for Monitoring Waterborne Pathogens.

Megasonic elution of waterborne protozoa enhances recovery rates (2018)
Journal Article
Bridle, H., Kerrouche, A., & Desmulliez, M. (2018). Megasonic elution of waterborne protozoa enhances recovery rates. Matters, https://doi.org/10.19185/matters.201712000007

Waterborne pathogens represent a major concern for human and animal health making monitoring of water essential to prevent outbreaks. Sample preparation is critical to assess a spatio-temporally representative volume of water and identify pathogens p... Read More about Megasonic elution of waterborne protozoa enhances recovery rates.