AJIC Issue 24, 2019
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- ItemAJIC Issue 24, 2019 - Full Issue(LINK Centre, University of the Witwatersrand (Wits), Johannesburg, 2019-12-06)Issue 24 of The African Journal of Information and Communication (AJIC), published 6 December 2019.
- ItemAJIC Issue 24, 2019 - Full Issue - print-on-demand version(LINK Centre, University of the Witwatersrand (Wits), Johannesburg, 2019-12-06)Issue 24 of The African Journal of Information and Communication (AJIC), published 6 December 2019.
- ItemAssessing the Social Media Maturity of a Community Radio Station: The Case of Rhodes Music Radio in South Africa(LINK Centre, University of the Witwatersrand (Wits), Johannesburg, 2019-12-06) Gavaza, Mudiwa A.; Pearse, Noel J.Social media has become a major factor within the operations and functions of radio stations. This study used a social media maturity model (SMMM), developed from available literature, to assess the social media maturity of a South Africa community radio station, Rhodes Music Radio (RMR). The study found that RMR had a level 3 rating on a 5-level maturity scale, indicating that it was quite, but not yet fully, mature in its social media use. In addition to outlining the research and its findings, this article makes recommendations for how the station could increase the maturity of its social media use.
- ItemIntelligent Malware Detection Using a Neural Network Ensemble Based on a Hybrid Search Mechanism(LINK Centre, University of the Witwatersrand (Wits), Johannesburg, 2019-12-06) Akandwanaho, Stephen M.; Kooblal, MuniMalware threats have become increasingly dynamic and complex, and, accordingly, artificial intelligence techniques have become the focal point for cybersecurity, as they are viewed as being more suited to tackling modern malware incidents. Specifically, neural networks, with their strong generalisation performance capability, are able to address a wide range of cyber threats. This article outlines the development and testing of a neural network ensemble approach to malware detection, based on a hybrid search mechanism. In this mechanism, the optimising of individual networks is done by an adaptive memetic algorithm with tabu search, which is also used to improve hidden neurons and weights of neural networks. The adaptive memetic algorithm combines global and local search optimisation techniques in order to overcome premature convergence and obtain an optimal search outcome. The results from the testing prove that the proposed method is strongly adaptive and efficient in its detection of a range of malware threats, and that it generates better results than other existing methods.
- ItemRealities of Microenterprises’ ICT Use for Business Activities and for Acquiring Online Government Support: A Study in Western Cape Province, South Africa(2019-12-06) Osman, Muhammad Ameer; Malanga, Donald Flywell; Chigona, WallaceThis article provides findings from a study, in South Africa’s Western Cape Province, of microenterprises’ experiences and perceptions of use of information and communication technologies (ICTs) for general business activities and for acquiring online government business support information. Using the capability approach (CA) theoretical framework, the study analysed data from interviews with microenterprise owners and digital government experts. The study found that the microenterprises were adept in their use of ICTs in their businesses, but that they encountered problems in using online government business support information services. These problems were found to be the result of deficiencies in the online services’ content, structure, design, navigation, mobile-friendliness, language usage and bureaucratic requirements.