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A Low-Cost Platform for Real Time Data Acquisition and Fractional Control with Application to a DC motor (2023)
Journal Article
Abdel Fettah Berkani, H., Keziz, B., Lashab, M., Djouambi, A., & Kerrouche, A. (2023). 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, 14(4), 2072-2079. https://doi.org/10.11591/ijpeds.v14.i4.pp2072-2079

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.

Global Trend in Retrofitting Using Smart Technology: A Scientometric Review (2023)
Conference Proceeding
Ejidike, C., Mewomo, M., & Olawumi, T. O. (2023). Global Trend in Retrofitting Using Smart Technology: A Scientometric Review. In Towards a sustainable construction industry: The role of innovation and digitalisation (153-165). https://doi.org/10.1007/978-3-031-22434-8_16

Retrofitting an existing structure enhances its energy efficiency, aesthetic appearance, and thermal comfort while also reducing the building’s energy costs. Buildings account for 40% of global energy consumption, which is al-so responsible for CO2 e... Read More about Global Trend in Retrofitting Using Smart Technology: A Scientometric Review.

Independent review – Independent advisory group on new and emerging technologies in policing: final report (2023)
Report
Aston, E. (2023). Independent review – Independent advisory group on new and emerging technologies in policing: final report. Edinburgh: Scottish Government

This report explores a rights based, transparent, evidence-based, legal, ethical and socially responsible approach to adopting emerging technologies in policing, in a manner that upholds public confidence and safety. Alongside the importance of legal... Read More about Independent review – Independent advisory group on new and emerging technologies in policing: final report.

Drivers For Building Retrofitting Practice: A Systematic Review (2022)
Conference Proceeding
Ejidike, C. C., Mewomo, M. C., Agbajor, F. D., & Olawumi, T. O. (2022). Drivers For Building Retrofitting Practice: A Systematic Review. In I. Musonda, & E. Mwanaumo (Eds.), Building Smart, Resilient and Sustainable Infrastructure in Developing Countries: Proceedings of the 8th International Conference on Development and Investment in Infrastructure (DII-2022, Johannesburg, South Africa, 6–7 October 2022) (265-272). https://doi.org/10.1201/9781003325321-28

Retrofitting an existing building offers a significant opportunity to improve its performance to solve the problems associated with energy consumption, occupant thermal discomfort, and cost of operation in the building, It is essential to understand... Read More about Drivers For Building Retrofitting Practice: A Systematic Review.

Towards Predictive Design: Tracking a CNC Fixture Design Process to Identify the Requirements (2022)
Conference Proceeding
Vasantha, G., Purves, D., Corney, J., Canavan, M., Quigley, J., & Sherlock, A. (2022). Towards Predictive Design: Tracking a CNC Fixture Design Process to Identify the Requirements. In Advances in Manufacturing Technology XXXV (187-192). https://doi.org/10.3233/atde220589

Training novice production engineers to design manufacturing fixtures is a time-consuming process involving significant input from experienced experts. Motivated by the vision of providing an intelligent support system for general mechanical design,... Read More about Towards Predictive Design: Tracking a CNC Fixture Design Process to Identify the Requirements.

Event-Triggered Distributed Data-Driven Iterative Learning Bipartite Formation Control for Unknown Nonlinear Multiagent Systems (2022)
Journal Article
Zhao, H., Yu, H., & Peng, L. (2024). Event-Triggered Distributed Data-Driven Iterative Learning Bipartite Formation Control for Unknown Nonlinear Multiagent Systems. IEEE Transactions on Neural Networks and Learning Systems, 35(1), 417-427. https://doi.org/10.1109/tnnls.2022.3174885

In this study, we investigate the event-triggering time-varying trajectory bipartite formation tracking problem for a class of unknown nonaffine nonlinear discrete-time multiagent systems (MASs). We first obtain an equivalent linear data model with a... Read More about Event-Triggered Distributed Data-Driven Iterative Learning Bipartite Formation Control for Unknown Nonlinear Multiagent Systems.

Learning-based Robust Bipartite Consensus Control for a Class of Multiagent Systems (2022)
Journal Article
Zhao, H., Shan, J., Peng, L., & Yu, H. (2023). Learning-based Robust Bipartite Consensus Control for a Class of Multiagent Systems. IEEE Transactions on Industrial Electronics, 70(4), 4068-4076. https://doi.org/10.1109/tie.2022.3174275

This paper studies the robust bipartite consensus problems for heterogeneous nonlinear nonaffine discrete-time multi-agent systems (MASs) with fixed and switching topologies against data dropout and unknown disturbances. At first, the controlled syst... Read More about Learning-based Robust Bipartite Consensus Control for a Class of Multiagent Systems.

Distributed Event-triggered Bipartite Consensus for Multi-agent Systems Against Injection Attacks (2022)
Journal Article
Zhao, H., Shan, J., Peng, L., & Yu, H. (2023). Distributed Event-triggered Bipartite Consensus for Multi-agent Systems Against Injection Attacks. IEEE Transactions on Industrial Informatics, 19(4), 5377-5386. https://doi.org/10.1109/tii.2022.3157595

This paper studies fully distributed data-driven problems for nonlinear discrete-time multi-agent systems (MASs) with fixed and switching topologies preventing injection attacks. We first develop an enhanced compact form dynamic linearization model b... Read More about Distributed Event-triggered Bipartite Consensus for Multi-agent Systems Against Injection Attacks.

Automating the modular construction process: A review of digital technologies and future directions with blockchain technology (2021)
Journal Article
Olawumi, T. O., Chan, D. W., Ojo, S., & Yam, M. C. (2022). Automating the modular construction process: A review of digital technologies and future directions with blockchain technology. Journal of Building Engineering, 46, Article 103720. https://doi.org/10.1016/j.jobe.2021.103720

Modular integrated construction (MiC) method has come to limelight in recent years due to its enormous potentials. Although several digital tools and technologies (DTT) have been employed in MiC projects, no previous research study has critically rev... Read More about Automating the modular construction process: A review of digital technologies and future directions with blockchain technology.

African BIM Report 2020 (2020)
Report
Saka, A., Itanola, M., Olawumi, T., Kori, S., Hamma-adama, M., Akinradewo, O., …Mimoun, M. (2020). African BIM Report 2020. Abuja, Nigeria: BIM AFRICA

While it may seem like the adoption of Building Information Modelling (BIM) across Africa is slow-paced, the increasing advocacy efforts from various stakeholders is now resulting in a widespread drive for implementation and deployment. Coupled with... Read More about African BIM Report 2020.

A Probabilistic Design Reuse Index for Engineering Designs (2020)
Journal Article
Vasantha, G., Corney, J., Stuart, S., Sherlock, A., Quigley, J., & Purves, D. (2020). A Probabilistic Design Reuse Index for Engineering Designs. Journal of Mechanical Design, 142(10), Article 101401. https://doi.org/10.1115/1.4046435

Many companies offer a range of related products that are constructed using similar components and processes. This enables them to meet customer expectations of product variety while minimising the overheads (e.g. development and manufacturing costs)... Read More about A Probabilistic Design Reuse Index for Engineering Designs.

Statistical Assessment of IP Multimedia Subsystem in a Softwarized Environment: a Queueing Networks Approach (2019)
Journal Article
Di Mauro, M., & Liotta, A. (2019). Statistical Assessment of IP Multimedia Subsystem in a Softwarized Environment: a Queueing Networks Approach. IEEE Transactions on Network and Service Management, 16(4), 1493-1506. https://doi.org/10.1109/tnsm.2019.2943776

The Next Generation 5G Networks can greatly benefit from the synergy between virtualization paradigms, such as the Network Function Virtualization (NFV), and service provisioning platforms such as the IP Multimedia Subsystem (IMS). The NFV concept is... Read More about Statistical Assessment of IP Multimedia Subsystem in a Softwarized Environment: a Queueing Networks Approach.

An AI approach to Collecting and Analyzing Human Interactions with Urban Environments (2019)
Journal Article
Ferrara, E., Fragale, L., Fortino, G., Song, W., Perra, C., di Mauro, M., & Liotta, A. (2019). An AI approach to Collecting and Analyzing Human Interactions with Urban Environments. IEEE Access, 7, 141476-141486. https://doi.org/10.1109/access.2019.2943845

Thanks to advances in Internet of Things and crowd-sensing, it is possible to collect vast amounts of urban data, to better understand how citizens interact with cities and, in turn, improve human well-being in urban environments. This is a scientifi... Read More about An AI approach to Collecting and Analyzing Human Interactions with Urban Environments.

Lightweight Reinforcement Learning for Energy Efficient Communications in Wireless Sensor Networks (2019)
Journal Article
Savaglio, C., Pace, P., Aloi, G., Liotta, A., & Fortino, G. (2019). Lightweight Reinforcement Learning for Energy Efficient Communications in Wireless Sensor Networks. IEEE Access, 7, 29355-29364. https://doi.org/10.1109/access.2019.2902371

High-density communications in wireless sensor networks (WSNs) demand for new approaches to meet stringent energy and spectrum requirements. We turn to reinforcement learning, a prominent method in artificial intelligence, to design an energy-preserv... Read More about Lightweight Reinforcement Learning for Energy Efficient Communications in Wireless Sensor Networks.

Curvilinear MetaSurfaces for Surface Wave Manipulation. (2019)
Journal Article
La Spada, L., Spooner, C., Haq, S., & Hao, Y. (2019). Curvilinear MetaSurfaces for Surface Wave Manipulation. Scientific Reports, 9(1), Article 3107. https://doi.org/10.1038/s41598-018-36451-8

Artificial sheet materials, known as MetaSurfaces, have been applied to fully control both space and surface waves due to their exceptional abilities to dynamically tailor wave fronts and polarization states, while maintaining small footprints. Howev... Read More about Curvilinear MetaSurfaces for Surface Wave Manipulation..

Analyzing Objective and Subjective Data in Social Sciences: Implications for Smart Cities (2019)
Journal Article
Erhan, L., Ndubuaku, M., Ferrara, E., Richardson, M., Sheffield, D., Ferguson, F. J., …Liotta, A. (2019). Analyzing Objective and Subjective Data in Social Sciences: Implications for Smart Cities. IEEE Access, 7, 19890-19906. https://doi.org/10.1109/access.2019.2897217

The ease of deployment of digital technologies and the Internet of Things gives us the opportunity to carry out large-scale social studies and to collect vast amounts of data from our cities. In this paper, we investigate a novel way of analyzing dat... Read More about Analyzing Objective and Subjective Data in Social Sciences: Implications for Smart Cities.

Metasurfaces for Advanced Sensing and Diagnostics (2019)
Journal Article
La Spada, L. (2019). Metasurfaces for Advanced Sensing and Diagnostics. Sensors, 19(2), 355. https://doi.org/10.3390/s19020355

Interest in sensors and their applications is rapidly evolving, mainly driven by the huge demand of technologies whose ultimate purpose is to improve and enhance health and safety. Different electromagnetic technologies have been recently used and ac... Read More about Metasurfaces for Advanced Sensing and Diagnostics.

A Probabilistic Design Reuse Index (2018)
Conference Proceeding
Vasantha, G., Sherlock, A., Corney, J., & Quigley, J. (2018). A Probabilistic Design Reuse Index. In ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference

The benefits of being able to create a number of product variations from a limited range of components, or sub-assemblies, are widely recognized. Indeed it is clear that companies who can effectively reuse elements of existing designs when creating n... Read More about A Probabilistic Design Reuse Index.