Prelims
Artificial Intelligence, Engineering Systems and Sustainable Development
ISBN: 978-1-83753-541-5, eISBN: 978-1-83753-540-8
Publication date: 18 January 2024
Citation
(2024), "Prelims", Fowdur, T.P., Rosunee, S., Ah King, R.T.F., Jeetah, P. and Gooroochurn, M. (Ed.) Artificial Intelligence, Engineering Systems and Sustainable Development, Emerald Publishing Limited, Leeds, pp. i-xxi. https://doi.org/10.1108/978-1-83753-540-820241022
Publisher
:Emerald Publishing Limited
Copyright © 2024 Tulsi Pawan Fowdur, Satyadev Rosunee, Robert T. F. Ah King, Pratima Jeetah and Mahendra Gooroochurn. Published under exclusive licence by Emerald Publishing Limited
Half Title Page
Artificial Intelligence, Engineering Systems and Sustainable Development
Title Page
Artificial Intelligence, Engineering Systems and Sustainable Development: Driving the UN SDGs
Edited by
Tulsi Pawan Fowdur
University of Mauritius, Mauritius
Satyadev Rosunee
University of Mauritius, Mauritius
Robert T. F. Ah King
University of Mauritius, Mauritius
Pratima Jeetah
University of Mauritius, Mauritius
And
Mahendra Gooroochurn
University of Mauritius, Mauritius
United Kingdom – North America – Japan – India – Malaysia – China
Copyright Page
Emerald Publishing Limited
Emerald Publishing, Floor 5, Northspring, 21-23 Wellington Street, Leeds LS1 4DL
First edition 2024
Editorial matter and selection © 2024 Tulsi Pawan Fowdur, Satyadev Rosunee, Robert T. F. Ah King, Pratima Jeetah and Mahendra Gooroochurn.
Individual chapters © 2024 The authors.
Published under exclusive licence by Emerald Publishing Limited.
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A catalogue record for this book is available from the British Library
ISBN: 978-1-83753-541-5 (Print)
ISBN: 978-1-83753-540-8 (Online)
ISBN: 978-1-83753-542-2 (Epub)
List of Figures and Tables
Chapter 2 | |
Fig. 2.1. | Potential Applications of Smart Waste Management Techniques and Technologies. |
Chapter 3 | |
Fig. 3.1. | Block Flow Diagram of the Proposed Smart Irrigation, Fertilization and Drainage System. |
Chapter 4 | |
Fig. 4.1. | Steps for Predicting Household Plastic Usage Using Machine Learning. |
Chapter 6 | |
Fig. 6.1. | Artificial Intelligence (AI) Can be Used for Data Classification. |
Chapter 7 | |
Fig. 7.1. | Transport-Related Sustainable Development Goal (SDG) Targets. |
Chapter 8 | |
Fig. 8.1. | Internet of Energy (IoE) Building Blocks. |
Chapter 9 | |
Fig. 9.1. | Blockchain-Enabled Transactions. |
Fig. 9.2. | Framework for Blockchain in Industry 4.0 and Real-Time Systems. |
Chapter 10 | |
Fig. 10.1. | Part of the Institute of Electrical and Electronics Engineers (IEEE) 14-Bus System. |
Fig. 10.2. | Flow Chart for the Pre-allocation of Phasor Measurement Units (PMUs). |
Fig. 10.3. | Flow chart of the Proposed Approach to the Optimal PMU Placement (OPP) Problem. |
Fig. 10.4. | (a) Plot of the Best and Mean Fitness Versus Generation (b) First Stage Plot (c) 3-D Plot of the Second Stage for Visualising the Number of Phasor Measurement Units (PMUs) and the System Observability Redundancy Index (SORI) Value. |
Chapter 13 | |
Fig. 13.1. | Glass-Based Solar Chimney (Gooroochurn, 2022). |
Chapter 14 | |
Fig. 14.1. | Circular Economy (CE) Framework. |
Fig. 14.2. | Butterfly Diagram. |
Chapter 16 | |
Fig. 16.1. | Three-Layer Perceptron for Atmospheric Corrosion Prediction With 5 Input Parameters (Cl− – Chloride, SO2 – Sulphur Dioxide, RR – Rainfall, RH – Relative Humidity and T – Temperature) and 1 Output Parameter (CR – Corrosion Rate). |
Chapter 17 | |
Fig. 17.1. | The Proposed Network Architecture of the ANN Model for the Assessment and Durability Prediction of Bamboo-Based Structures. |
Chapter 18 | |
Fig. 18.1. | Advantages of Artificial Intelligence (AI) in Supply Chain Management (SCM). |
Fig. 18.2. | Contrasting Traditional and Digital Supply Chains. |
Chapter 20 | |
Fig. 20.1. | Schematic Representation of a Computer Vision System Combined With Artificial Neural Network (ANN) for the Detection and Classification of Fabric Faults (Eldessouki, 2018). |
Fig. 20.2. | Flow Chart Showing the Basis of Most Traditional Computer Colour Match-Prediction Systems. |
Chapter 1 | |
Table 1.1. | Main Categories of Machine Learning (ML) Algorithms (Fowdur et al., 2021). |
Chapter 3 | |
Table 3.1. | Technological, Regulatory, Financial, Ethical Barriers and Risks. |
Chapter 7 | |
Table 7.1. | Intelligent Transport System (ITS) Applications and Artificial Intelligence (AI) Techniques in the Transport Sector and Sustainable Development Goals (SDG) Impact. |
Chapter 10 | |
Table 10.1. | Phasor Measurement Unit (PMU) Placements Found by Integer Linear Programming (ILP) and Genetic Algorithm (GA). |
Table 10.2. | Other Phasor Measurement Unit (PMU) Placements. |
Table 10.3. | Phasor Measurement Unit (PMU) Placements Found by Non-Linear Programming (NLP). |
Chapter 11 | |
Table 11.1. | Summary of Models 1 and 2. |
Table 11.2. | Comparison of Models 1, 2 and 3. |
Chapter 13 | |
Table 13.1. | Operating Modes of Solar Chimney. |
About the Editors
Dr Tulsi Pawan Fowdur received his BEng (Hons) degree in Electronic and Communication Engineering with first-class honours from the University of Mauritius in 2004. He was also the recipient of a Gold medal for having produced the best degree project at the Faculty of Engineering in 2004. In 2005, he obtained a full-time PhD scholarship from the Tertiary Education Commission of Mauritius and was awarded his PhD degree in Electrical and Electronic Engineering in 2010 by the University of Mauritius. He is also a Registered Chartered Engineer of the Engineering Council of the UK, Fellow of the Institute of Telecommunications Professionals of the UK and Senior Member of the IEEE. He joined the University of Mauritius as an academic in June 2009 and is presently an Associate Professor at the Department of Electrical and Electronic Engineering of the University of Mauritius. His research interests include mobile and wireless communications, multimedia communications, networking and security, telecommunications applications development, Internet of Things (IoT) and artificial intelligence (AI). He has published several papers in these areas and is actively involved in research supervision, reviewing of papers and also organising international conferences.
Dr Satyadev Rosunee is an Associate Professor of Applied Sustainability in the field of Textiles and Entrepreneurship at the University of Mauritius. Satyadev earned his PhD from the University of Manchester Institute of Science & Technology (UMIST, UK), Masters from Leeds University and a Bachelor of Technology degree in Textile Technology from Maharaja Sayajirao University, Baroda, India. Satyadev was Dean of the Faculty of Engineering from 2015 to 2018 and founding member of two departments namely: Department of Textile Technology (1990–2012) and Department of Applied Sustainability & Enterprise Development (2012–now). Satyadev has supervised nine PhDs, awarded by the University of Mauritius. He has published about 50 papers in peer-reviewed journals and conference proceedings. He is passionate about sustainability and entrepreneurship as drivers of innovation and social good.
Prof Robert T. F. Ah King holds BTech (Hons), MPhil and PhD degrees in Electrical and Electronic Engineering. He is a Professor by way of Personal Chair in Power Systems in the Department of Electrical and Electronic Engineering at the University of Mauritius. He is a Registered Professional Engineer in Mauritius and a Chartered Engineer, UK. His research interests include power systems, computational intelligence and optimisation. He is a member of the Institution of Engineers Mauritius, Institution of Engineering and Technology (IET), UK and Institute of Electrical and Electronics Engineers (IEEE), USA. Prof Ah King is the Chair of the IEEE Mauritius Section. He is a Technical Committee Member on Soft Computing of IEEE Systems, Man, and Cybernetics Society. He was the General Chair for ELECOM 2016, ELECOM 2018, ELECOM 2020 and ELECOM 2022 conferences. He has been on the Technical Programme Committees of several conferences and has served as reviewer for several leading journals.
Dr Pratima Devi Jeetah is an Associate Professor in the Chemical and Environmental Engineering Department of the University of Mauritius. She has a PhD degree in Bioprocess Engineering and a Master degree in Sustainable Energy Engineering from the Sweden University of KTH. She has a first-class Bachelor's degree in Chemical and Environmental Engineering and she is a gold medallist. Her research interest is in waste management/waste valorisation which particularly focuses on lignocellulosic waste conversion to bio-ethanol and on producing sustainable green functional products. She has worked on several EU/ACP/ERASMUS+ funded projects namely Small Developing Island Renewable Energy Knowledge and Technology Transfer Network (DIREKT); Lifelong Learning on Energy Access, Security and Efficiency Project (L3EAP), GEVALOR: ReSources Project, FESTII project (Formation et Enseignment Superieur pour la Transition energetique dans les territoires Insulaires at en Indianoceanie) and the EDU-ABCM project (Capacity Building on Student-Centered Energy Education in Cameroon, Ethiopia, Mauritius and Mozambique). She has also worked on numerous internally funded project namely from the UNDP, Mauritius Research and Innovation Council, Higher Education Commission and University of Mauritius funded research projects. She was the Head of the Department of Chemical and Environmental Engineering from February 2018 to February 2020. She has organised several international conferences on Energy, Environment and Climate change and workshops on eco-friendly bio material. She was also selected as one of the young emerging scientists to present her research works at the 2nd Commonwealth Chemistry Conference event in May 2023. She has published numerous scientific papers in impact factor journals. She has also published several book chapters and research papers in conference proceedings. Her publications can be viewed under the following Google Scholar link https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=pratima+jeetah&oq=pratima.
Dr Mahendra Gooroochurn works as a Senior Lecturer in the Mechanical and Production Engineering Department of the University of Mauritius. He is a Chartered Engineer registered with the Engineering Council of UK, an accredited green building design and construction professional registered with the USGBC, an Edge Expert registered with the International Finance Corporation (IFC) and a WELL accredited professional registered with the International Well Building Institute (IWBI). He holds the following professional engineering memberships: MIET, MIEEE and MASHRAE. He has industry experience as research manager and head of sustainability in the building services engineering sector and has research interests in sustainability in the built environment, circular design, circular economy and climate action, in which he acts as reviewer for several journal publishers and has published book chapters, journals and conference papers. He has been the Ellen McArthur Foundation Circular Economy Pioneer for Mauritius from the British Council Sub-Saharan Arts programme and the COP26/COP27 representative of Mauritius for the Association of Commonwealth Universities (ACU) Futures Climate Research Cohort. He has organised several IEEE conferences in multidisciplinary engineering disciplines and workshops and exhibitions on sustainable development and circular economy.
List of Contributors
Robert T. F. Ah King | University of Mauritius, Mauritius |
Noushra Shamreen Amode | University of Mauritius, Mauritius |
Lavesh Babooram | University of Mauritius, Mauritius |
Khim Hoong Chu | Honeychem Research, New Zealand |
Yasser M Chuttur | University of Mauritius, Mauritius |
Zaheer Doomah | University of Mauritius, Mauritius |
Tulsi Pawan Fowdur | University of Mauritius, Mauritius |
Mahendra Gooroochurn | University of Mauritius, Mauritius |
Visham Hurbungs | University of Mauritius, Mauritius |
Neetish Hurry | International Economics Ltd, Mauritius |
Pratima Jeetah | University of Mauritius, Mauritius |
Deejaysing Jogee | University of Mauritius, Mauritius |
Khalid Adam Joomun | University of Mauritius, Mauritius |
Naraindra Kistamah | University of Mauritius, Mauritius |
Samiah Mohangee | University of Mauritius, Mauritius |
Ackmez Mudhoo | University of Mauritius, Mauritius |
Anshu Prakash Murdan | University of Mauritius, Mauritius |
Manta Devi Nowbuth | University of Mauritius, Mauritius |
Vishwamitra Oree | University of Mauritius, Mauritius |
Virendra Proag | University of Mauritius, Mauritius |
Jean-Luc Probst | University of Toulouse III Paul Sabatier, France |
Arvinda Kumar Ragen | University of Mauritius, Mauritius |
Bhimsen Rajkumarsingh | University of Mauritius, Mauritius |
Ramful Raviduth | University of Mauritius, Mauritius |
Satyadev Rosunee | University of Mauritius, Mauritius |
Ashven Sanghan | University of Mauritius, Mauritius |
Asish Seeboo | University of Mauritius, Mauritius |
Danraz Seebun | University of Mauritius, Mauritius |
Yashwantraj Seechurn | University of Mauritius, Mauritius |
Gaurav Sharma | Shenzhen University, China; Shoolini University & Glocal University, India |
Mika Sillanpää | University of Johannesburg, South Africa; Aarhus University, Denmark; Zhejiang Rongsheng Environmental Protection Paper Co. LTD, China; Chandigarh University, India |
Geeta Somaroo | University of Mauritius, Mauritius |
Riaan Stopforth | University of KwaZulu-Natal, South Africa |
Dinesh Surroop | University of Mauritius, Mauritius |
K Tahalooa | Mini Factory Ltd, Mauritius |
Roshan Unmar | University of Mauritius, Mauritius |
Preface
In 2015, all member states of the United Nations adopted the 2030 Agenda for sustainable development. In view of ensuring peace and prosperity in the present and future, for all people and the planet, the 2030 agenda provides a very comprehensive shared blueprint. The agenda sets forward the creation of a global partnership between all developed and developing countries, having as core objective an urgent call for action to attain the 17 Sustainable Development Goals (SDGs). From climate action to good health and well-being, 17 high level themes and 169 targets have been identified and expected to be delivered by 2030, in the United Nations' Sustainable Development Goals (SDGs). It is important that measures to end poverty and other deprivations are taken along with strategies that lead to reduction in inequalities, enhanced health and education, and the promotion of economic growth, without neglecting actions for preserving our oceans, forests and tackling climate change in general.
Development in any country is impossible if, reliable and affordable energy, safe water and sanitation, as well as telecommunication facilities, are not easily accessible. These elements are indispensable for productive growth, healthy development and allow productive industrial growth through efficient and robust transportation systems. Engineering disciplines have a crucial responsibility of forming engineers who at the most basic level should be able to implement transportation, energy and telecommunications systems, as well undertake projects on safe water and sanitation. Hence, engineers have a major role to play to support the delivery of the SDGs. Integrated and intelligent engineering solutions which can deliver robust infrastructure, sustainable energy and access to the latest communication technology are indispensable to accomplish several of these SDGs. It is also vital to bridge the digital divide, where access to the internet is still a major obstacle in several parts of the world. In order to provide the means for cohesive solutions that can achieve sustainable development, engineers will have to employ state of the art disruptive technologies such as 5G,IoT, AI, cloud computing, blockchain and 3D printing among others.
AI and machine learning techniques are now widely used in all branches of engineering to build and optimise systems, solve intractable problems and also provide AI technology with new data inputs for interpretation. The combination of AI and engineering can indeed act as a real catalyst to achieve the UN SDGs.
The main purpose of this book, therefore, is to analyse different concepts and case studies in engineering disciplines such as Chemical, Civil, Electrical, Telecommunications and Mechanical Engineering with a view to demonstrate how engineering systems and processes can leverage the power of AI to drive the UN SDGs. Such a study is of paramount importance and will be a valuable source of information for researchers, engineers and policymakers to be able to better design and adopt AI-enabled techniques in different engineering areas with a view to catalyze the achievement of the UN SDGs.
Acknowledgements
We would first like to thank all the authors for their invaluable contributions to this edited book. We are thankful to the reviewers of the book proposal for their constructive comments and suggestions to improve the book. We are also extremely grateful to the editors and the book production team of Emerald Publishing, in particular Miss Kirsty Woods, for their excellent advice and guidance throughout this book project. Finally, we would like to thank Professor Boopen Seetanah who helped us in establishing our first contact with the Emerald team.
- Prelims
- Chapter 1 Advances of Artificial Intelligence in Engineering
- Part 1 Impact of AI-Enabled Chemical and Environmental Engineering Systems on UN SDGs
- Chapter 2 Adoption of Machine Learning for Sustainable Solid Waste Management
- Chapter 3 Smart Fertilizer Application in Agricultural Land for Sustainable Crop Production and Consumption
- Chapter 4 Predicting Household Plastic Level Consumption Using Machine Learning and Artificial Intelligence (AI)
- Chapter 5 Ant Colony, Bee Colony and Elephant Herd Optimisations for Estimating Aqueous-Phase Adsorption Model Parameters
- Part 2 Impact of AI-Enabled Civil Engineering Systems on UN SDGs
- Chapter 6 Artificial Intelligence–Based Clean Water and Sanitation Monitoring
- Chapter 7 Achieving SDG Targets in the Land Transport Sector Using Intelligent Transportation Systems
- Part 3 Impact of AI-Enabled Electrical Electronic and Telecommunications Engineering Systems on UN SDGs
- Chapter 8 Achieving Affordable and Clean Energy Through AI and 5G Powered Internet of Energy (IoE)
- Chapter 9 Leveraging the Power of Blockchain in Industry 4.0 and Intelligent Real-Time Systems for Achieving the SDGs
- Chapter 10 A Reliability-Based Two Stage Phasor Measurement Unit (PMU) Placement Optimisation Model Using Mathematical- and Nature-Based Evolutionary Algorithms
- Chapter 11 Quantitative Assessment of Models and Indices for Interior Thermal Comfort Taking Into Account the Effects of Solar Radiation and Wind
- Chapter 12 The Role of the Internet of Things for a More Sustainable Future
- Part 4 Impact of AI-Enabled Mechanical and Mechatronics Engineering Systems on UN SDGs
- Chapter 13 Mechatronics Implementation of Passive Building Elements to Improve Thermal Comfort and Promote Energy Efficiency in Buildings
- Chapter 14 Demystifying Climate Change and Climate Action Through the Circular Homes Concept – An Educational Tool for Community Engagement
- Chapter 15 Robotics and Automated Systems for Enabling an Industry 4.0 Transformation in Mauritius
- Chapter 16 Potential Beneficial Impact of AI-Driven Atmospheric Corrosion Prediction on the UN Sustainable Development Goals (SDGs)
- Chapter 17 In Situ Durability Assessment of Natural Composite Structures by Considering Artificial Neural Network (ANN) Modelling
- Part 5 Impact of AI-Enabled Sustainability and Enterprise Development on UN SDGs
- Chapter 18 The Manufacturing Sector in Mauritius: Building Supply Chain Resilience and Business Value With Artificial Intelligence
- Chapter 19 AI for Social Good: Opportunities for Inclusive and Sustainable Development
- Chapter 20 The Applications of Artificial Intelligence in the Textile Industry
- Index