Book Review Quinn, L.(ed.) 2019. Re-imagining Curriculum: Spaces for Disruption
- Authors: McKenna, Sioux
- Date: 2021
- Subjects: To be catalogued
- Language: English
- Type: text , article
- Identifier: http://hdl.handle.net/10962/185865 , vital:44441 , xlink:href="https://journals.co.za/doi/abs/10.14426/cristal.v9i1.434"
- Description: This book is in some ways a continuation of the conversation begun with Reimaging Academic Staff Development: Spaces for Disruption (2012), also edited by Lynn Quinn. But the 2019 volume takes a much wider viewpoint including, as it does, twenty chapters by forty-two authors who are academics and academic developers across institutional types from Australia, Canada, South Africa, the United States of America, the United Kingdom, and the West Indies. Quinn and Vorster (2019: 2) state in Chapter One that the purpose of the book is 'to share theoretical perspectives and practical ideas for ways in which academic developers (and academic leaders) can work in partnership with lecturers and students to respond to the urgent calls for curriculum transformation and decolonisation'. This captures the four threads that run throughout the collection.
- Full Text:
- Date Issued: 2021
- Authors: McKenna, Sioux
- Date: 2021
- Subjects: To be catalogued
- Language: English
- Type: text , article
- Identifier: http://hdl.handle.net/10962/185865 , vital:44441 , xlink:href="https://journals.co.za/doi/abs/10.14426/cristal.v9i1.434"
- Description: This book is in some ways a continuation of the conversation begun with Reimaging Academic Staff Development: Spaces for Disruption (2012), also edited by Lynn Quinn. But the 2019 volume takes a much wider viewpoint including, as it does, twenty chapters by forty-two authors who are academics and academic developers across institutional types from Australia, Canada, South Africa, the United States of America, the United Kingdom, and the West Indies. Quinn and Vorster (2019: 2) state in Chapter One that the purpose of the book is 'to share theoretical perspectives and practical ideas for ways in which academic developers (and academic leaders) can work in partnership with lecturers and students to respond to the urgent calls for curriculum transformation and decolonisation'. This captures the four threads that run throughout the collection.
- Full Text:
- Date Issued: 2021
Feasibility Study: Computing Confidence Interval (CI) for IBR Data Using Bootstrapping Technique
- Chindipha, Stones D, Irwin, Barry V W
- Authors: Chindipha, Stones D , Irwin, Barry V W
- Date: 2021
- Language: English
- Type: text , article
- Identifier: http://hdl.handle.net/10962/427665 , vital:72454 , https://www.researchgate.net/profile/Barry-Ir-win/publication/358895311_Feasibility_Study_Computing_Confidence_Inter-val_CI_for_IBR_Data_Using_Bootstrapping_Technique/links/621bdc469947d339eb6e578b/Feasibility-Study-Computing-Confidence-Interval-CI-for-IBR-Data-Using-Bootstrapping-Technique.pdf
- Description: Statistical bootstrapping has been used in different fields over the years since it was introduced as a technique that one can use to simulate data. In this study, parametric and nonparametric bootstrapping techniques were used to create samples of different compositions from the baseline data. The bootstrap distribution of a point estimator of a population parameter has been used in the past to produce a bootstrapped confidence interval (CI) for the parameter’s true value, if the parameter is written as a function of the population’s distribution. Population parameters are estimated with many point estimators. The study used mean as the population parameter of interest from which bootstrap samples were created. This research was more interested in the CI side of bootstrapping and it is this aspect that this paper focused on. This is the case because the study wanted to offer a certain degree of assurance and reliability of IBR data to users who may not have access to a larger ’lens’ of a network telescope to allow them to monitor security threats in their network. The primary interest in the dataset were source and destination IP (DSTIP) addresses, thus the study selected different size pools of DSTIP addresses to simulate bootstrap samples.
- Full Text:
- Date Issued: 2021
- Authors: Chindipha, Stones D , Irwin, Barry V W
- Date: 2021
- Language: English
- Type: text , article
- Identifier: http://hdl.handle.net/10962/427665 , vital:72454 , https://www.researchgate.net/profile/Barry-Ir-win/publication/358895311_Feasibility_Study_Computing_Confidence_Inter-val_CI_for_IBR_Data_Using_Bootstrapping_Technique/links/621bdc469947d339eb6e578b/Feasibility-Study-Computing-Confidence-Interval-CI-for-IBR-Data-Using-Bootstrapping-Technique.pdf
- Description: Statistical bootstrapping has been used in different fields over the years since it was introduced as a technique that one can use to simulate data. In this study, parametric and nonparametric bootstrapping techniques were used to create samples of different compositions from the baseline data. The bootstrap distribution of a point estimator of a population parameter has been used in the past to produce a bootstrapped confidence interval (CI) for the parameter’s true value, if the parameter is written as a function of the population’s distribution. Population parameters are estimated with many point estimators. The study used mean as the population parameter of interest from which bootstrap samples were created. This research was more interested in the CI side of bootstrapping and it is this aspect that this paper focused on. This is the case because the study wanted to offer a certain degree of assurance and reliability of IBR data to users who may not have access to a larger ’lens’ of a network telescope to allow them to monitor security threats in their network. The primary interest in the dataset were source and destination IP (DSTIP) addresses, thus the study selected different size pools of DSTIP addresses to simulate bootstrap samples.
- Full Text:
- Date Issued: 2021
Towards the Development of a Photovoltaic Array Fault Detection and Diagnosis (PVAFDD) System
- Ncube, Prince D N, Meyer, Edson L, Shibeshi, Zelalem S
- Authors: Ncube, Prince D N , Meyer, Edson L , Shibeshi, Zelalem S
- Date: 2021
- Language: English
- Type: text , article
- Identifier: http://hdl.handle.net/10962/429105 , vital:72560 , https://ieeexplore.ieee.org/abstract/document/9698581
- Description: The perpetual increment in energy demand continues to put pressure on the South African Economy. Independent Power Producers (IPPs) have been contracted to relieve the strain by supplementing energy production using solar photovoltaic (PV) technologies. These IPPs are paid per megawatt they produce and face stiff penalties should they fail to deliver on contractual obligations. Naturally solar PV plants are susceptible to numerous PV faults that could lead to a negative return on investment. It therefore makes economic sense to adopt mechanisms that can be able to detect, localize and diagnose PV faults when they occur within a solar PV system. There exists an extensive literature on how to detect and diagnose PV faults, however, localizing PV faults is still in its infancy. This paper proposes to cater to the needs of the IPPs by developing an intelligent PV Array Fault Detection and Diagnostics (PVAFDD) system capable of localizing PV faults which can be embedded into the Supervisory Control and Data Acquisition (SCADA) system used to manage and control such PV systems. The PVAFDD system is based on a machine learning (ML) model implemented using logistic regression algorithm. The ML model is trained using meteorological data ranging over a period of eight years in Alice, Eastern Cape. Using simulations driven by real-life data scenarios, we have been able to train, validate and test the PVAFDD system. When the PVAFDD system detects a fault, a cascade of real-time PVA tests is undertaken to localize the PV fault. The system then carries out PVA fault diagnostics and gives recommendations on the PV fault classification. Corrective measures can therefore be implemented on the affected PVA swiftly reducing the downtime of the PV plant, ergo proving to be a cost-effective measure that offers a competitive edge to IPPs using the PVAFDD system.
- Full Text:
- Date Issued: 2021
- Authors: Ncube, Prince D N , Meyer, Edson L , Shibeshi, Zelalem S
- Date: 2021
- Language: English
- Type: text , article
- Identifier: http://hdl.handle.net/10962/429105 , vital:72560 , https://ieeexplore.ieee.org/abstract/document/9698581
- Description: The perpetual increment in energy demand continues to put pressure on the South African Economy. Independent Power Producers (IPPs) have been contracted to relieve the strain by supplementing energy production using solar photovoltaic (PV) technologies. These IPPs are paid per megawatt they produce and face stiff penalties should they fail to deliver on contractual obligations. Naturally solar PV plants are susceptible to numerous PV faults that could lead to a negative return on investment. It therefore makes economic sense to adopt mechanisms that can be able to detect, localize and diagnose PV faults when they occur within a solar PV system. There exists an extensive literature on how to detect and diagnose PV faults, however, localizing PV faults is still in its infancy. This paper proposes to cater to the needs of the IPPs by developing an intelligent PV Array Fault Detection and Diagnostics (PVAFDD) system capable of localizing PV faults which can be embedded into the Supervisory Control and Data Acquisition (SCADA) system used to manage and control such PV systems. The PVAFDD system is based on a machine learning (ML) model implemented using logistic regression algorithm. The ML model is trained using meteorological data ranging over a period of eight years in Alice, Eastern Cape. Using simulations driven by real-life data scenarios, we have been able to train, validate and test the PVAFDD system. When the PVAFDD system detects a fault, a cascade of real-time PVA tests is undertaken to localize the PV fault. The system then carries out PVA fault diagnostics and gives recommendations on the PV fault classification. Corrective measures can therefore be implemented on the affected PVA swiftly reducing the downtime of the PV plant, ergo proving to be a cost-effective measure that offers a competitive edge to IPPs using the PVAFDD system.
- Full Text:
- Date Issued: 2021
An Application to Support end-users of wi-fi Hotspots in the Township of Makhanda
- Buwa, Lubabalo, Shibeshi, Zelalem S, Terzoli, Alfredo
- Authors: Buwa, Lubabalo , Shibeshi, Zelalem S , Terzoli, Alfredo
- Date: 2021
- Language: English
- Type: text , article
- Identifier: http://hdl.handle.net/10962/429077 , vital:72558 , https://ieeexplore.ieee.org/abstract/document/9514200
- Description: Having access to the Internet is a powerful resource that can change one's life, but connectivity inequality continues to be a significant issue, especially for disadvantaged communities. The usage of Wi-Fi hotspots is becoming very useful for accommodating many people living in underprivileged areas to connect to the Internet. Primarily, these hotspots get deployed in public places like hotels, restaurants, etc. This paper discusses how such a system can be made to work as a solution for disadvantaged communities considering the user base in such communities and adhering to government regulations. The research is developed in collaboration with Khula Tech Solutions ISP that provides wireless Internet services in Makhanda (formally known as Grahamstown). Khula Tech Solutions is starting an initiative of installing Wi-Fi hotspots around the township of Makhanda and needs an application that will support users of the Wi-Fi hotspots. The research's result is a proof-of-concept mobile application developed through iterative and incremental software development techniques and mobile application technologies. With this research, the hope is that it is the beginning of further work for the users to become connected citizens.
- Full Text:
- Date Issued: 2021
- Authors: Buwa, Lubabalo , Shibeshi, Zelalem S , Terzoli, Alfredo
- Date: 2021
- Language: English
- Type: text , article
- Identifier: http://hdl.handle.net/10962/429077 , vital:72558 , https://ieeexplore.ieee.org/abstract/document/9514200
- Description: Having access to the Internet is a powerful resource that can change one's life, but connectivity inequality continues to be a significant issue, especially for disadvantaged communities. The usage of Wi-Fi hotspots is becoming very useful for accommodating many people living in underprivileged areas to connect to the Internet. Primarily, these hotspots get deployed in public places like hotels, restaurants, etc. This paper discusses how such a system can be made to work as a solution for disadvantaged communities considering the user base in such communities and adhering to government regulations. The research is developed in collaboration with Khula Tech Solutions ISP that provides wireless Internet services in Makhanda (formally known as Grahamstown). Khula Tech Solutions is starting an initiative of installing Wi-Fi hotspots around the township of Makhanda and needs an application that will support users of the Wi-Fi hotspots. The research's result is a proof-of-concept mobile application developed through iterative and incremental software development techniques and mobile application technologies. With this research, the hope is that it is the beginning of further work for the users to become connected citizens.
- Full Text:
- Date Issued: 2021
High-Level Modelling for Typed Functional Programming
- Authors: Motara, Yusuf, M
- Date: 2021
- Language: English
- Type: text , article
- Identifier: http://hdl.handle.net/10962/429035 , vital:72555 , https://doi.org/10.1007/978-3-030-83978-9_4
- Description: There is currently no way to model the high-level structural design of a functional system. Given the strong links between functional programming and mathematics, it is hypothesised that the language of mathematics can provide insight into how a functional system might be modelled. The approach is successful and both philosophy and the language of mathematics are used to identify the necessary modelling concepts and briefly outline some modelling notation alongside a small case study.
- Full Text:
- Date Issued: 2021
- Authors: Motara, Yusuf, M
- Date: 2021
- Language: English
- Type: text , article
- Identifier: http://hdl.handle.net/10962/429035 , vital:72555 , https://doi.org/10.1007/978-3-030-83978-9_4
- Description: There is currently no way to model the high-level structural design of a functional system. Given the strong links between functional programming and mathematics, it is hypothesised that the language of mathematics can provide insight into how a functional system might be modelled. The approach is successful and both philosophy and the language of mathematics are used to identify the necessary modelling concepts and briefly outline some modelling notation alongside a small case study.
- Full Text:
- Date Issued: 2021