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Your search keyword '"Markus, Elisha Didam"' showing total 45 results
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45 results on '"Markus, Elisha Didam"'

1. Collaborating Towards Humanizing Pedagogies in Teaching and Learning: Case of Universities of Technology in South Africa

Author

Govender, Nereshnee, Markus, Elisha Didam, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Auer, Michael E., editor, Cukierman, Uriel R., editor, Vendrell Vidal, Eduardo, editor, and Tovar Caro, Edmundo, editor

Published
2024
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4. Multiple Mobile Robotic Formation Control Based on Differential Flatness

Author

Tsiu, Lintle, Markus, Elisha Didam, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin, Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Masinde, Muthoni, editor, and Bagula, Antoine, editor

Published
2023
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5. Teaching and Learning Transferable Skills in Engineering Education via Service Learning: Case Study of a University of Technology in South Africa

Author

Markus, Elisha Didam, Govender, Nereshnee, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Auer, Michael E., editor, Pachatz, Wolfgang, editor, and Rüütmann, Tiia, editor

Published
2023
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6. Students Perceptions of Online Laboratory Reporting in Electronics Engineering: Analysis on Merits and Demerits

Author

Markus, Elisha Didam, Maqache, Ntombizanele, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Auer, Michael E., editor, Hortsch, Hanno, editor, Michler, Oliver, editor, and Köhler, Thomas, editor

Published
2022
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10. A Review of Interoperability of IoT Systems for Smart Cities

Author

Fadeyi, Johnson, Markus, Elisha Didam, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Zhang, Yu-Dong, editor, Senjyu, Tomonobu, editor, So-In, Chakchai, editor, and Joshi, Amit, editor

Published
2022
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11. A Critical Review of IoT-Connected Healthcare and Information Security in South Africa

Author

Naqvi, Khadija Hayat, Markus, Elisha Didam, Muthoni, Masinde, Abu-Mahfouz, Adnan, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Zhang, Yu-Dong, editor, Senjyu, Tomonobu, editor, So-In, Chakchai, editor, and Joshi, Amit, editor

Published
2022
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12. A Survey of Intelligent Agro-climate Decision Support Tool for Small-Scale Farmers: An Integration of Indigenous Knowledge, Mobile Phone Technology and Smart Sensors

Author

Thothela, Naledi Portia, Markus, Elisha Didam, Masinde, Muthoni, Abu-Mahfouz, Adnan M., Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Fong, Simon, editor, Dey, Nilanjan, editor, and Joshi, Amit, editor

Published
2021
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23. Suppression of over voltage in SiC-based inverter fed induction motor.

Author

Salau, Ayodeji Olalekan, Kanchana, Kadirvel, Anoop, Kuttichakku Johny, Markus, Elisha Didam, and Braide, Sepiribo Lucky

Subjects
VOLTAGE, INDUCTION motors, OVERVOLTAGE, HIGH voltages, SILICON carbide, HIGH temperatures
Abstract

Silicon carbide (SiC) based inverters are widely used due to their fast switching and ability to withstand high temperatures and Voltage. This helps to increase efficiency and reduces switching losses compared to the silicon-based inverter. However, this fast-switching device causes an increase in the Voltage at the junction of the cable and motor due to the reflected wave. The main causes of overvoltage are cable/motor impedance mismatch, fast-switching inverter devices (IGBT), and inverter-motor separation. To extend the induction motor lifespan, overvoltage reduction is necessary. Passive and active filters solve the problem, but passive filters are bulky and have high power loss. This paper presents a shunt active filter approach for an inverter-fed induction motor to reduce overvoltage. To show the effectiveness of the proposed approach, the findings were compared to the topology of the clamp-type active filter already in use. The shunt active filter used Proportional Integral (PI) and fuzzy controllers to generate reference current according to the Synchronous Reference Frame (SRF) theory. Harmonics in the power system were removed using the SRF theory. The unique aspect of this work is how the reference current is produced in the shunt active filter using the SRF theory. The proposed shunt active filter with a fuzzy controller was added to the hardware implementation to achieve better results than previous active filters. [ABSTRACT FROM AUTHOR]

Published
2024
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43. Intelligent Predictive Maintenance of Electric Trains in South Africa.

Author

Mavhungu, Mathalise and Markus, Elisha Didam

Subjects
MAINTENANCE, ROLLING stock, NUMBER theory, ARTIFICIAL intelligence
Abstract

This paper presents a review on techniques used to monitor rolling stock equipment in order to predict the maintenance needs and activities before failure could actually occur. There is limited number of research on this study which has focused majorly on the infrastructure, and very little has covered the topic on maintenance or the rolling stock maintenance. This paper explores the available current source and findings about three maintenance strategies, two which are currently the most commonly practiced in South Africa and one which is taking the focus on this research. The review also revealed that artificial intelligence techniques are rarely used in monitoring of railway equipment. Part of the discussion in this paper is about the use of these AI techniques in maintenance. A discussion of a proposed maintenance strategy that uses the application of AI techniques is included and the whole review is closed off by outlining the possible challenges and future considerations relating to the predictive maintenance of Electric Trains. [ABSTRACT FROM AUTHOR]

Published
2020
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