All Outputs (93)

Dancing with the Troubles of AI (2021)
Conference Proceeding
Luján Escalante, M. A., Moffat, L., Harrison, L., & Kuh, V. (2021). Dancing with the Troubles of AI. . https://doi.org/10.21606/pluriversal.2021.0037

We are 4 creative ethic-ticians, working in the areas of design, fashion, arts and philosophy, making tools and spaces to inspire, drive, support and assess innovation responsive to societal and planetary crises, which we call ethics through design.... Read More about Dancing with the Troubles of AI.

Construction site layout planning methods: An analytical review (2021)
Conference Proceeding
Otukogbe, G., Oyedele, L., Akanbi, L., Manuel Davila-Delgado, M., Owolabi, H., Ganiyu, S., …Kadiri, K. (2021). Construction site layout planning methods: An analytical review. In Proc. of the IDoBE International Conference on Uncertainty in the Built Environment: How can we build a resilient future in the new normal?

Designing an effective construction site layout planning is essential to the successful implementation of construction projects. Construction site layout planning involves the optimal layout of facilities (i.e., fixed, and temporary facilities). Seve... Read More about Construction site layout planning methods: An analytical review.

Air Pollution XXIX (2021)
Conference Proceeding
(2021). Air Pollution XXIX. In J. Casares, J. Longhurst, & J. Barnes (Eds.), Air Pollution 2021

The role of text analytics in healthcare: A review of recent developments and applications (2021)
Conference Proceeding
Elbattah, M., Arnaud, É., Gignon, M., & Dequen, G. (2021). The role of text analytics in healthcare: A review of recent developments and applications. In Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (825-832). https://doi.org/10.5220/0010414508250832

The implementation of Data Analytics has achieved a significant momentum across a very wide range of domains. Part of that progress is directly linked to the implementation of Text Analytics solutions. Organisations increasingly seek to harness the p... Read More about The role of text analytics in healthcare: A review of recent developments and applications.

A new safety climate assessment tool for Gulf construction (2021)
Conference Proceeding
Umar, T., & Umeokafor, N. (2021). A new safety climate assessment tool for Gulf construction. In Proceedings of the 9th World Construction Symposium (39-51). https://doi.org/10.31705/WCS.2021.4

One of the methods which could improve the safety performance of construction organizations is the safety climate approach which is helpful to know the existing maturity level of the safety climate and to develop plans to achieve the required level o... Read More about A new safety climate assessment tool for Gulf construction.

A review of the costs of accident in GCC construction (2021)
Conference Proceeding
Umar, T., & Umeokafor, N. (2021). A review of the costs of accident in GCC construction. In CIB W099 & W123 Annual International Conference: Changes and innovations for improved wellbeing in construction (274-283)

Construction industry in the Gulf Cooperation Council (GCC) member countries is at peak as the region is in the stage of developing its major infrastructures. The development projects in the GCC have made the region as a major jobs hub for both local... Read More about A review of the costs of accident in GCC construction.

Energy and infrequent fluctuations of temperature related to atmospheric mechanisms for various climate change scenarios (2021)
Conference Proceeding
Danaila, L., Chun, K., & Massei, N. (2021). Energy and infrequent fluctuations of temperature related to atmospheric mechanisms for various climate change scenarios. In Bulletin of the American Physical Society

Understanding, modeling, and predicting complex systems such as climate require coupling distinct phenomena, acting at different space/temporal scales: wavelike features, and turbulent cascade, with different regimes, crucial for mixing and dissipat... Read More about Energy and infrequent fluctuations of temperature related to atmospheric mechanisms for various climate change scenarios.

Analysing the effect of food supply chain traceability on product waste (2021)
Conference Proceeding
Glew, M. R., Perez Hernandez, M., & McFarlane, D. (2021). Analysing the effect of food supply chain traceability on product waste. In M. Fakhimi, T. Boness, & D. Robertson (Eds.), Proceedings of the Operational Research Society Simulation Workshop 2021 (SW21) (145-154)

This paper presents initial results from an agent-based simulation study into the impact of supply chain traceability information sharing on food waste reduction in the fresh food supply chain. Based on data collected during a 2019 study of a multi-t... Read More about Analysing the effect of food supply chain traceability on product waste.

Automatic for the people: Crowd-driven generative scores using Manhattan and machine vision (2021)
Conference Proceeding
Nash, C. (2021). Automatic for the people: Crowd-driven generative scores using Manhattan and machine vision.

This paper details a workshop and optional public installation based on the development of situational scores that combine music notation, AI, and code to create dynamic interactive art driven by the realtime movements of objects and people in a live... Read More about Automatic for the people: Crowd-driven generative scores using Manhattan and machine vision.

Bespoke anywhere (2021)
Conference Proceeding
Gaster, B., & Challinor, R. (2021). Bespoke anywhere.

This paper reports on a project aimed to break away from the portability concerns of native DSP code between different platforms, thus freeing the instrument designer from the burden of porting new Digital Musical Instruments (DMIs) to different arch... Read More about Bespoke anywhere.

Low-order aeroelastic modelling of a high aspect ratio wing aircraft under constrained motion (2021)
Conference Proceeding
Pontillo, A., Banneheka Navaratna, P. D., Ascham, J., Lowenberg, M. H., Rezgui, D., Cooper, J. E., & Neild, S. A. (2021). Low-order aeroelastic modelling of a high aspect ratio wing aircraft under constrained motion. In AIAA SCITECH 2022 Forum. https://doi.org/10.2514/6.2022-1306

The work presented in this paper describes the modelling of a low-order aeroelastic solver, built with the aim of analysing the dynamics of very flexible wing aircraft, with a focus on the coupling between the flight dynamics and the structural dynam... Read More about Low-order aeroelastic modelling of a high aspect ratio wing aircraft under constrained motion.

Design and assessment of subscale flexible high aspect ratio cantilever wings (2021)
Conference Proceeding
Banneheka Navaratna, P. D., Pontillo, A., Rezgui, D., Lowenberg, M. H., Neild, S. A., & Cooper, J. E. (2021). Design and assessment of subscale flexible high aspect ratio cantilever wings. In AIAA SCITECH 2022 Forum. https://doi.org/10.2514/6.2022-1305

High aspect ratio wings have been the focus of several recent studies for efficiency improvements in modern aircraft. Many numerical studies can be found in literature with some experimental validations. The work presented here describes the design,... Read More about Design and assessment of subscale flexible high aspect ratio cantilever wings.

Experimental analysis of the dynamics of flared folding wingtips via a novel tethered flight test (2021)
Conference Proceeding
Healy, F., Pontillo, A., Rezgui, D., Cooper, J. E., Kirk, J., Wilson, T., & Castrichini, A. (2021). Experimental analysis of the dynamics of flared folding wingtips via a novel tethered flight test. In AIAA SCITECH 2022 Forum

Recent developments in morphing wing technologies are routinely tested using Unmanned Aerial vehicles (UAVs) due to their relatively low cost and time to manufacture. However, atmospheric flight tests limit both the repeatability of the recorded data... Read More about Experimental analysis of the dynamics of flared folding wingtips via a novel tethered flight test.

Vision based semantic runway segmentation from simulation with deep convolutional neural networks (2021)
Conference Proceeding
Quessy, A. D., Richardson, T. S., & Hansen, M. (2022). Vision based semantic runway segmentation from simulation with deep convolutional neural networks. https://doi.org/10.2514/6.2022-0680

Manned flight crew rely upon optical imagery to make sense of the world and carry out high level guidance, navigation & control tasks. To advance autonomous aircraft’s capabilities and safety, programmes need to be developed that aim to achieve pilot... Read More about Vision based semantic runway segmentation from simulation with deep convolutional neural networks.

A novel software fault prediction approach to predict error-type proneness in the Java programs using Stream X-Machine and machine learning (2021)
Conference Proceeding
Phung, K., Ogunshile, E., & Aydin, M. (2021). A novel software fault prediction approach to predict error-type proneness in the Java programs using Stream X-Machine and machine learning. In 2021 9th International Conference in Software Engineering Research and Innovation (CONISOFT) (168-179). https://doi.org/10.1109/CONISOFT52520.2021.00032

Software fault prediction makes software quality assurance process more efficient and economic. Most of the works related to software fault prediction have mainly focused on classifying software modules as faulty or not, which does not produce suffic... Read More about A novel software fault prediction approach to predict error-type proneness in the Java programs using Stream X-Machine and machine learning.

Modeling diseases with Stream X Machine (2021)
Conference Proceeding
Jayatilake, S., Ogunshile, E., Aydin, M., & Phung, K. (2021). Modeling diseases with Stream X Machine. In 2021 9th International Conference in Software Engineering Research and Innovation (CONISOFT) (61-68). https://doi.org/10.1109/CONISOFT52520.2021.00020

At present the world is moving towards alternative medicine and behavioural alteration for treating, managing, and preventing chronical diseases. With the individuality of the human beings has added more complexity in a domain where very high accurac... Read More about Modeling diseases with Stream X Machine.

A novel curved gaussian mixture model and its application in motion skill encoding (2021)
Conference Proceeding
Chen, D., Li, G., Zhou, D., & Ju, Z. (2021). A novel curved gaussian mixture model and its application in motion skill encoding. In 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (7813-7818). https://doi.org/10.1109/IROS51168.2021.9636121

The purpose of this paper is to present a novel curved Gaussian Mixture Model (CGMM) and to study the application of it in motion skill encoding. Primarily, Gaussian mixture model (GMM) has been widely applied on many occasions when a probability den... Read More about A novel curved gaussian mixture model and its application in motion skill encoding.

The application of eye-tracking technology in architecture engineering and construction industry: A systematic review (2021)
Conference Proceeding
Mahamadu, A., Prabhakaran, A., Clark, K., Dziekonski, K., Okeke, U., Zhang, W., …Aigbavboa, C. O. (2021). The application of eye-tracking technology in architecture engineering and construction industry: A systematic review. In N. Dawood, F. Pour Rahimian, & M. Sheikhkhoshkar (Eds.), Proceedings of the 21st International Conference on Construction Applications of Virtual Reality (56-64)

Despite the scholarly attention on eye-tracking technology in the AEC industry, no studies thus far have attempted to aggregate the findings or knowledge. To bridge this gap and to better understand the state-of-the-art of eye-tracking technology’s a... Read More about The application of eye-tracking technology in architecture engineering and construction industry: A systematic review.

API security in large enterprises: Leveraging machine learning for anomaly detection (2021)
Conference Proceeding
Baye, G., Hussain, F., Oracevic, A., Hussain, R., & Ahsan Kazmi, S. (2021). API security in large enterprises: Leveraging machine learning for anomaly detection. In 2021 International Symposium on Networks, Computers and Communications (ISNCC) (1-6). https://doi.org/10.1109/ISNCC52172.2021.9615638

Large enterprises offer thousands of micro-services applications to support their daily business activities by using Application Programming Interfaces (APIs). These applications generate huge amounts of traffic via millions of API calls every day, w... Read More about API security in large enterprises: Leveraging machine learning for anomaly detection.

Modeling setup for assessing the impact of stakeholders and policy scenarios on air quality at urban scale (2021)
Conference Proceeding
Rodrigues, V., Oliveira, K., Coelho, S., Ferreira, J., Fernandes, A. P., Rafael, S., …Lopes, M. (2021). Modeling setup for assessing the impact of stakeholders and policy scenarios on air quality at urban scale. In C. Mensink, & V. Matthias (Eds.), Air Pollution Modeling and its Application XXVII (229-234). https://doi.org/10.1007/978-3-662-63760-9_32

ClairCity, a project funded by the EU Horizon 2020 research and innovation programme, developed an innovative quantification framework aiming to assess environmental, health and economic impacts. The quantification framework consists of (i) an integr... Read More about Modeling setup for assessing the impact of stakeholders and policy scenarios on air quality at urban scale.