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
Implementing a Content-Based Routing Framework for Application Integration on to Teleweaver Application Server
- Ngwenya, Sikhumbuzo, Shibeshi, Zelalem S, Terzoli, Alfredo
- Authors: Ngwenya, Sikhumbuzo , Shibeshi, Zelalem S , Terzoli, Alfredo
- Date: 2021
- Subjects: To be catalogued
- Language: English
- Type: text , article
- Identifier: http://hdl.handle.net/10962/430580 , vital:72701 , https://ieeexplore.ieee.org/abstract/document/9576969
- Description: This paper presents an architectural overview of content-based dynam-ic routing for integrating applications on to an application server named TeleWeaver, a middleware platform developed within Siyakhula Living Lab (SLL). SLL is an ICT4D project in the Eastern Cape Province of South Africa. TeleWeaver was created as a mediation layer between software systems developed for use by beneficiaries of the Siyakhula Living Lab. The main challenge with these disparate systems was that they had unnecessary, redundant components; TeleWeaver acts as a common platform that suits the development of many services such as eGovernment, eHealth, and eJudiciary.
- Full Text:
- Date Issued: 2021
- Authors: Ngwenya, Sikhumbuzo , Shibeshi, Zelalem S , Terzoli, Alfredo
- Date: 2021
- Subjects: To be catalogued
- Language: English
- Type: text , article
- Identifier: http://hdl.handle.net/10962/430580 , vital:72701 , https://ieeexplore.ieee.org/abstract/document/9576969
- Description: This paper presents an architectural overview of content-based dynam-ic routing for integrating applications on to an application server named TeleWeaver, a middleware platform developed within Siyakhula Living Lab (SLL). SLL is an ICT4D project in the Eastern Cape Province of South Africa. TeleWeaver was created as a mediation layer between software systems developed for use by beneficiaries of the Siyakhula Living Lab. The main challenge with these disparate systems was that they had unnecessary, redundant components; TeleWeaver acts as a common platform that suits the development of many services such as eGovernment, eHealth, and eJudiciary.
- 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
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