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Robust torque ripple mitigation of a line-start PMSM by means of the Taguchi method
(IEEE, 2019)
—In this paper, a robust design framework is proposed
to mitigate torque ripple for line-start permanent magnet synchronous machines (LS-PMSM) by using the Taguchi method.
The framework is intended for fine-tuning initial ...
Comparative study of steam vs hot water as primary heat transfer medium for a laboratory scale two-tank heated system
(IEEE, 2019)
The need exists for a benchmark multi-domain practical system that could emulate typical process faults for the purposes of condition monitoring. A proposition was made to develop a heated two-tank system, due to its ...
CREAK descriptor evaluation for visual odometry
(IEEE, 2019)
Each year, latest state of the art technologies and algorithms arise that claim and prove to-shine their predecessors. One such algorithm is the Colour-based Retina Key-point (CREAK) descriptor, which is based on the FAST ...
Dataset on the carbon dioxide, methane and nitrogen high-pressure sorption properties of South African bituminous coals
(Elsevier, 2019)
The dataset presented in this article supplements the result and information published in the report “The carbon dioxide, methane and nitrogen high-pressure sorption properties of South African bituminous coals” (Okolo et ...
Photocatalytic activity of Gd2O2CO3·ZnO·CuO nanocomposite used for the degradation of phenanthrene
(Springer, 2019)
Multimetal oxides nanocomposite photocatalysts based on Gd2O2CO3·ZnO·CuO were prepared by a co-precipitation method and carefully characterized using a range of analytical techniques. More specifically, analysis by X-ray ...
Predictive model for fuels from hydrothermal liquefaction of municipal solid waste
(EUBCE, 2019)
Effective management of the environmental impact of municipal solid waste (MSW) is a global issue linked to urbanization and a rapid increase in the global population. Although MSW has been evaluated as possible feedstock ...
Valorisation of waste lignin for phenol derivative compounds using hydrothermal liquefaction
(EUBCE, 2019)
Approximately 95% of global phenolic compounds (such as catechol, guaiacol, syringol, and vanillin) used in the pharmaceutical, fragrance and industrial industries are produced from petroleum-based phenolics such as benzene. ...
Solar flare prediction with temporal convolutional networks
(In Proc. South African Forum for Artificial Intelligence Research (FAIR2019), 2019-12)
Sequences are typically modelled with recurrent architectures, but growing research is finding convolutional architectures to also work well for sequence modelling [1]. We explore the performance of Temporal Convolutional ...
A neural network based method for input parameter selection
(Machine Learning in Heliophysics, 2019-09)
NNs yield predictions, without aiding understanding of input-output relationship
Fully connected networks mix signal from all inputs as information flows through the network
Input parameter selection usually done
Towards designing an artefact evaluation strategy for human factors engineering: a lean implementation model case study
(Univ Stellenbosch, 2019)
Applying scientific methods to the evaluation of design science
research artefacts is necessary to recognise the design process as
design science research. Prior work has reported on this crucial
evaluation component; ...