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Diagnostic tool and online resource providing mathematics support for non-specialists (2019)
Conference Proceeding
Henderson, K., Gwynllyw, R., Walsh, E., Haslam, O., O'Flynn, P., Elvidge, D., & Golden, K. (2019). Diagnostic tool and online resource providing mathematics support for non-specialists. In ICERI2019 Proceedings, (7756-7764). https://doi.org/10.21125/iceri.2019

We report on the development of a diagnostic tool to provide support for non-mathematics students. This tool has been designed to aid the transition onto university courses where mathematics is required during the course, but is not a pre-requisite.... Read More about Diagnostic tool and online resource providing mathematics support for non-specialists.

Eye Centre Localisation with Convolutional Neural Network Based Regression (2019)
Conference Proceeding
Zhang, W., & Smith, M. (in press). Eye Centre Localisation with Convolutional Neural Network Based Regression

This paper introduces convolutional neural network regression models based on the Inception-v3 and the DenseNet architectures for accurate and real-time eye centre localisation. At a normalised error of e < 0.05, the proposed method yields an accurac... Read More about Eye Centre Localisation with Convolutional Neural Network Based Regression.

Optimisation of Low Temperature Combustion Technology, for Future Drive Cycles, using a Factorial Design of Experiments (2019)
Conference Proceeding
Van Niekerk, A. S., Kay, P. J., Drew, B., & Larsen, N. (in press). Optimisation of Low Temperature Combustion Technology, for Future Drive Cycles, using a Factorial Design of Experiments

Automotive manufacturers are facing increased pressure to meet more stringent emissions legislation and new legislative driving cycles. One technology that has the potential to meet future legislation is Low Temperature Combustion (LTC), which has th... Read More about Optimisation of Low Temperature Combustion Technology, for Future Drive Cycles, using a Factorial Design of Experiments.

The impact of culture of quality (COQ) on the organizational performance (2019)
Conference Proceeding
Han, Y., Kumar, V., Tuyết Trương, N., & Ngoc Hoang, N. Y. (2019). The impact of culture of quality (COQ) on the organizational performance. In Proceedings of the 9th International Conference on Operations and Supply Chain Management, Vietnam, 2019

Culture of Quality (COQ) is regarded as an important component of TQM however this is a relatively new theme, compared to other concepts in the quality management domain. However, literature resources on this topic are relatively scarce and there is... Read More about The impact of culture of quality (COQ) on the organizational performance.

Lean readiness level of the Azerbaijan construction industry (2019)
Conference Proceeding
Aghayev, H., Arturo, J., Nadeem, S. P., Kumar, A., Kumar, V., Rocha-Lona, L., & González-Aleu, F. (in press). Lean readiness level of the Azerbaijan construction industry

This paper identifies and measures the Lean readiness of the Azerbaijan construction industry. A survey questionnaire was utilised to evaluate the Lean readiness of this industry by measuring its quality practices and to test three hypotheses. The Le... Read More about Lean readiness level of the Azerbaijan construction industry.

A Multi-Objective Linear Optimization Model for Designing Sustainable Closed-Loop Agricultural Supply Chain (2019)
Conference Proceeding
Kumar, V., Reyhani, H., Jabarzadeh, Y., Ghaffarinasab,, N., & Garza-Reyes, J. A. (in press). A Multi-Objective Linear Optimization Model for Designing Sustainable Closed-Loop Agricultural Supply Chain

Demand for agricultural products will grow by nearly 70 percent in 2050 and high volume of chemical pesticides and agricultural fertilizers along with considerable waste in this sector induces serious environmental concerns. Hence it is not a priorit... Read More about A Multi-Objective Linear Optimization Model for Designing Sustainable Closed-Loop Agricultural Supply Chain.

A Quantum Algorithm for Ray Casting using an Orthographic Camera (2019)
Conference Proceeding
Alves, C., Santos, L. P., & Bashford-Rogers, T. (2019). A Quantum Algorithm for Ray Casting using an Orthographic Camera

Quantum computing has the potential to provide solutions to many problems which are challenging or out of reach of classical computers. There are several problems in rendering which are amenable to being solved in quantum computers, but these have ye... Read More about A Quantum Algorithm for Ray Casting using an Orthographic Camera.

Mixed-Integer Quadratic Constrained Programming versus Quadratic Programming Methods for Distribution Network Reconfiguration (2019)
Conference Proceeding
Tami, Y., Sebaa, K., Laacose, M. L., & Nouri, H. (2019). Mixed-Integer Quadratic Constrained Programming versus Quadratic Programming Methods for Distribution Network Reconfiguration

The paper focuses on the solution of the minimum loss reconfiguration problem of distribution networks that determine the optimal switches, by means of a mixed-integer quadratically-constrained programming (MIQCP) model. The proposed MIQCP model is a... Read More about Mixed-Integer Quadratic Constrained Programming versus Quadratic Programming Methods for Distribution Network Reconfiguration.

Optimal Integration of Renewable Distributed Generation Using the Whale Optimization Algorithm for Techno-Economic Analysis (2019)
Conference Proceeding
Settoul, S., Chenni, R., Zellagui, M., & Nouri, H. (2019). Optimal Integration of Renewable Distributed Generation Using the Whale Optimization Algorithm for Techno-Economic Analysis

A new method for optimal integration of renewable energy sources based on photovoltaic solar panels and wind turbines in the distribution network is presented with the objective of reducing the Active Power Loss (APL) index, to improve the Total Volt... Read More about Optimal Integration of Renewable Distributed Generation Using the Whale Optimization Algorithm for Techno-Economic Analysis.

Flow characteristics in aeroengine bearing chambers with shallow sump (2019)
Conference Proceeding
Chandra, B., & Simmons, K. (2019). Flow characteristics in aeroengine bearing chambers with shallow sump. https://doi.org/10.1115/GT2019-90320

In an aeroengine oil is supplied to the bearings for lubrication and cooling. Subsequently, it creates a two phase flow environment in the bearing chamber that may contain droplets, mist, wall film, ligaments, froth or foam and liquid pools. After th... Read More about Flow characteristics in aeroengine bearing chambers with shallow sump.

Considering institutional logics in building performance evaluation research (2019)
Conference Proceeding
Oliveira, S., & Baborska-Narożny, M. (2020). Considering institutional logics in building performance evaluation research. In L. C. Jain, A. Capozzoli, R. J. Howlett, & J. Littlewood (Eds.), Sustainability in Energy and Buildings, (701-710). https://doi.org/10.1007/978-981-32-9868-2_59

The purpose of this paper is to reflect upon potential analytical benefits of institutional theory in the study of building performance evaluation (BPE) practice. BPE studies have mostly been based on descriptive empirical insights with little concep... Read More about Considering institutional logics in building performance evaluation research.

Integrating operators’ preferences into decisions of unmanned aerial vehicles: Multi-layer decision engine and incremental preference elicitation (2019)
Conference Proceeding
Olteanu, A., Khannoussi, A., Labreuche, C., Narayan, P., Dezan, C., Diguet, J., …Meyer, P. (2019). Integrating operators’ preferences into decisions of unmanned aerial vehicles: Multi-layer decision engine and incremental preference elicitation. In S. Pekeč, & K. B. Venable (Eds.), International Conference on Algorithmic Decision Theory, (49-64). https://doi.org/10.1007/978-3-030-31489-7_4

Due to the nature of autonomous Unmanned Aerial Vehicles (UAV) missions, it is important that the decisions of a UAV stay consistent with the priorities of an operator, while at the same time allowing them to be easily audited and explained. We there... Read More about Integrating operators’ preferences into decisions of unmanned aerial vehicles: Multi-layer decision engine and incremental preference elicitation.

Printing the Muses: Reimaging digital musical instruments through 2.5D printing (2019)
Conference Proceeding
Parraman, C., & Gaster, B. (2019). Printing the Muses: Reimaging digital musical instruments through 2.5D printing

The objective is to explore cross-disciplinary methods of converting musical terms for tactile interfaces, thus enabling people unfamiliar in creating music to be explorative through the development of novel musical interfaces. The project involves w... Read More about Printing the Muses: Reimaging digital musical instruments through 2.5D printing.

The optical properties of the Woodburytype - An alternative printing technique based on a gelatine/pigment matrix (2019)
Conference Proceeding
Klein, S., Leech, D., & Guy, W. (2019). The optical properties of the Woodburytype - An alternative printing technique based on a gelatine/pigment matrix. https://doi.org/10.2352/ISSN.2169-4451.2019.35.42

The Woodburytype is a 19th century photomechanical technique, producing high-quality continuous-tone prints that use a mixture of pigment and gelatine as a relief print, in which the variation in height of the print produces the tone and contrast. We... Read More about The optical properties of the Woodburytype - An alternative printing technique based on a gelatine/pigment matrix.

Robotic Ceramic Paste Extrusion for Industrial Prototyping and Production (2019)
Conference Proceeding
Huson, D. (2019). Robotic Ceramic Paste Extrusion for Industrial Prototyping and Production. https://doi.org/10.2352/ISSN.2169-4451.2019.35.38

Ceramic additive layer manufacture employs a range of different technologies including ceramic paste extrusion, powder/ binder jet and UV and daylight cure ceramic loaded resins. Each of these technologies has its own set of advantages and disadvanta... Read More about Robotic Ceramic Paste Extrusion for Industrial Prototyping and Production.