Faculty of Engineering: Recent submissions
Now showing items 1-20 of 1129
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Passive Electrochemical Hydrogen Recombiner For Hydrogen Safety Systems: Prospects
(Springer, 2023)This paper presents the concept of a passive electrochemical hydrogen recombiner (PEHR). The reaction energy of the recombination of hydrogen and oxygen is used as a source of electrical energy according to the operating ... -
Prioritisation Of Environmental Improvement Projects In Deep-Level Mine Ventilation Systems
(Springer, 2023)Deep-level underground mining costs in South Africa are continuously rising due to the increased depth at which gold is being mined, resulting in a rise in virgin rock temperature and an increase in cooling requirements. ... -
Implementation of a Reduced Order Model for rotating seal annular leakage flow inside a centrifugal pump
(Elsevier, 2023)Sustainability and net zero emissions targets drive the importance of turbomachinery design, optimisation, and efficient operation in modern geoenergy systems. To further enable integration of advanced large-scale ... -
Aromatic liquid organic hydrogen carriers for hydrogen storage and release
(Elsevier, 2023)Hydrogen production from renewable energy sources has the potential to significantly reduce the carbon footprint of critical economic sectors that rely heavily on fossil fuels. Liquid organic hydrogen carrier (LOHC) ... -
Improved energy graph-based visualisation fault detection and isolation — A spectral theorem approach
(Elsevier, 2023)This paper illustrates how the energy graph-based visualisation (EGBV) fault detection and isolation (FDI) method may be interpreted in terms of the spectral theorem to gain insight into the sensitivity and robustness ... -
Concentration contextualisation, temporal patterns and sources of hydrogen sulphide at a site on the South African Highveld
(Elsevier B.V., 2023)South Africa is one of the largest atmospheric sulphur emitting countries, but the contribution of H2S to this regional burden is not known. Also, no H2S source apportionment for South Africa have been undertaken, ... -
The Development of a Sepedi Text Generation Model Using Transformers
(Southern Africa Telecommunication Networks and Applications Conference (SATNAC) 2022, 2022)Text generation is one of the important sub-tasks of natural language generation (NLG), and aims to produce humanly readable text given some input text. Deep learning approaches based on neural networks have been proposed ... -
Developing a full core model of the North Anna Reactor using SCALE 6.2.3, NESTLE and MCNP 6.2
(North West University, 2022)This study presents the development of the modelling for a T-NEWT/NESTLE* lattice-to-nodal diffusion calculation. The reactor selected for this study is the North-Anna (NA) Unit 1 Pressurized Water Reactor (PWR) of the ... -
The Radial Variation of the Solar Wind Turbulence Spectra near the Kinetic Break Scale from Parker Solar Probe Measurements
(American Astronomical Society, 2023)In this study we examine the radial dependence of the inertial and dissipation range indices, as well as the spectral break separating the inertial and dissipation range in power density spectra of interplanetary magnetic ... -
The Analysis of the Sepedi-English Code-switched Radio News Corpus
(UP Jornals, 2022)Code-switching is a phenomenon that occurs mostly in multilingual countries where multilingual speakers often switch between languages in their conversations. The unavailability of largescale code-switched corpora ... -
A Comparative Study of Graph Neural Network Speed Prediction during Periods of Congestion
(SciTePress, 2022)Traffic speed prediction using deep learning has been the topic of many studies. In this paper, we analyse the performance of Graph Neural Network-based techniques during periods of traffic congestion. We first compare ... -
Minimum phase finite impulse response filter design
(Wiley, 2022)The design of minimum phase finite impulse response (FIR) filters is considered. The study demonstrates that the residual errors achieved by current state‐of‐the‐art design methods are nowhere near the smallest error ... -
The influence of calcium lignosulphonate addition on non-isothermal pyrolysis and gasification of demineralised bituminous coal fines
(Elsevier BV, 2022)Amorphous calcium lignosulphonate (CaLS), a by-product of the paper industry, was evaluated as an adhesive to bind demineralised bituminous coal fines in various weight percentage ratios. Sequential acid (HCl, HF, ... -
Unsupervised Fine-tuning of Speaker Diarisation Pipelines using Silhouette Coefficients
(SACAIR, 2021)We investigate the use of silhouette coefficients in cluster analysis for speaker diarisation, with the dual purpose of unsupervised fine-tuning during domain adaptation and determining the number of speakers in an audio ... -
Tracking translation invariance in CNNs
(Southern African Conference for Artificial Intelligence Research, 2020)Although Convolutional Neural Networks (CNNs) are widely used, their translation invariance (ability to deal with translated inputs) is still subject to some controversy. We explore this question using translation-sensitivity ... -
Stride and translation invariance in CNNs
(Southern African Conference for Artificial Intelligence Research, 2020)Convolutional Neural Networks have become the standard for image classification tasks, however, these architectures are not invariant to translations of the input image. This lack of invariance is attributed to the use of ... -
Pairwise networks for feature ranking of a geomagnetic storm model
(South African Institute of Computer Scientists and Information Technologists, 2020)Feedforward neural networks provide the basis for complex regression models that produce accurate predictions in a variety of applications. However, they generally do not explicitly provide any information about the utility ... -
Using summary layers to probe neural network behaviour
(South African Institute of Computer Scientists and Information Technologists, 2020)No framework exists that can explain and predict the generalisation ability of deep neural networks in general circumstances. In fact, this question has not been answered for some of the least complicated of neural network ... -
Benign interpolation of noise in deep learning
(South African Institute of Computer Scientists and Information Technologists, 2020)The understanding of generalisation in machine learning is in a state of flux, in part due to the ability of deep learning models to interpolate noisy training data and still perform appropriately on out-of-sample data, ... -
Pre-interpolation loss behavior in neural networks
(Springer, 2020)When training neural networks as classifiers, it is common to observe an increase in average test loss while still maintaining or improving the overall classification accuracy on the same dataset. In spite of the ubiquity ...
