{"title":"Maximizing the Organization's Technology Leverage through Effective Conflict Risk Management within Agile Teams","authors":"Mothepane M. Tshabalala, L. Khoza","doi":"10.1145/3351108.3351142","DOIUrl":"https://doi.org/10.1145/3351108.3351142","url":null,"abstract":"Effective conflict-risk management (ECM) is critical within Agile teams because Agile team effectiveness thrives on effective, constant team interactions as well as frequent customer collaborations. The main goal for ECM is to foster team effectiveness thereby enabling the organization to realize the benefit of adopting and implementing development projects in Agile. Through Agile, organizations develop quality software that enables them to get their products quickly in the market while still being flexible and adaptive to change. This results in improved organization technology competitiveness that enable organizations to keep up with their technological needs and to continually gain from the technology investments they have made, at a faster rate, enabling efficient and cost-effective spending. This is called the organizations' technology leverage. This quantitative study discusses how ECM within agile teams can help maximize an organization technology","PeriodicalId":269578,"journal":{"name":"Research Conference of the South African Institute of Computer Scientists and Information Technologists","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131825284","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Attributes Extraction for Fine-grained Differentiation of the Internet of Things Patterns","authors":"V. Sithole, L. Marshall","doi":"10.1145/3351108.3351118","DOIUrl":"https://doi.org/10.1145/3351108.3351118","url":null,"abstract":"The Internet of Things (IoT) is a paradigm with multitudes of design patterns. However, in order to use these patterns quickly and effectively, one must be able to make a differentiation between the existing patterns. At the moment, there is no known catalogue for the IoT patterns in which each pattern is described at a fine-grained level, i.e. in terms of its attributes. The need to discuss these patterns in terms of their attributes is important as it enables ease of understanding and allows us to group related patterns together for speedy retrieval. In this paper, we present an attributes extraction system which generates a list of attributes for a given IoT pattern. The attributes extraction system is based on identification and extraction of important sentences which describe the core properties of the given IoT pattern. The system uses multiple linguistics features to identify the most important sentences in a document with regard to describing the core essence of a given pattern. The system calculates an independent score for each sentence per feature. Through aggregation, the independent scores for each feature can then be combined to give a weighted mean score for each sentence. The evaluation results show that the attributes selected by the system are consistent with human ranking in the bulk of the examined documents.","PeriodicalId":269578,"journal":{"name":"Research Conference of the South African Institute of Computer Scientists and Information Technologists","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127643847","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Laurenz A. Cornelissen, Lucia I. Daly, Qhama Sinandile, Heinrich de Lange, R. J. Barnett
{"title":"A Computational Analysis of News Media Bias: A South African Case Study","authors":"Laurenz A. Cornelissen, Lucia I. Daly, Qhama Sinandile, Heinrich de Lange, R. J. Barnett","doi":"10.1145/3351108.3351134","DOIUrl":"https://doi.org/10.1145/3351108.3351134","url":null,"abstract":"News media in South Africa is assumed to be unbiased and objective in their reporting of the news. Indeed, editors are required to uphold an objective and balanced view with no favour to external political or corporate interests. This assumption of objectivity is tested on a large scale by computationally analysing 30 000 articles published by five media houses: News24, SABC, EWN, ENCA, and IOL. Using topic modelling, 38 topics are extracted from the corpus, and sentiment is computed for each topic. The study highlights various cases of both over and under-reporting by media houses on particular topics. We also identify various tonality biases by media houses.","PeriodicalId":269578,"journal":{"name":"Research Conference of the South African Institute of Computer Scientists and Information Technologists","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114121660","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The role of SME dynamic capabilities on the evaluation of existing ICT","authors":"Edzai Kademeteme, H. Twinomurinzi","doi":"10.1145/3351108.3351119","DOIUrl":"https://doi.org/10.1145/3351108.3351119","url":null,"abstract":"Small and medium enterprises (SMEs) are exposed to agile and dynamic environments where information and communication technologies (ICTs) change frequently. As such, SMEs need to be counter-agile in response to these changes. The ability of an SME to respond dynamically to agile business environments is called dynamic capabilities. This paper investigated the role that SME dynamic capabilities play in the evaluation of existing ICTs before making adoption decisions to switching to emerging ICTs. The study collected data from 222 SME owners across South Africa. The data collected were analysed quantitatively, using correlation and regression analysis. The results obtained suggest that SMEs in this study perceive that they have absorptive and innovative capabilities, but they do not possess innovative capabilities. While SMEs perceive themselves to demonstrate absorptive and adaptive capabilities, these capabilities do not influence their decision to switch to new emerging and enticing ICTs despite knowing of its existence. The findings suggests that South African SMEs do not consider new and emerging ICT as offering advantages. The findings also suggest that, instead of SME dynamic capabilities there might be other factors such as social, technical and economic or financial factors that might assist in the evaluation of existing ICTs. Future research should consider investigating these inferences.","PeriodicalId":269578,"journal":{"name":"Research Conference of the South African Institute of Computer Scientists and Information Technologists","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128509150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Edge-preserving smoothing filters for improving object classification","authors":"Vusi Skosana, Dumisani Kunene","doi":"10.1145/3351108.3351125","DOIUrl":"https://doi.org/10.1145/3351108.3351125","url":null,"abstract":"Edge-preserving smoothing filters have had many applications in the image processing community, such as image compression, restoration, deblurring and abstraction. However, their potential application in computer vision and machine learning has never been fully studied. The most successful feature descriptors for image classification use gradient images for extracting the overall shapes of objects, thus edge preserving filters could improve their quality. The effects of various edge-preserving filters were evaluated as a pre-processing step inhuman detection. In this work, three smoothing filters were tested, namely the total variation (TV), relative total variation (RTV) and L0 smoothing. Significant performance gains were realised with TV and RTV for both colour and thermal images while the L0 smoothing filter only realised a slight improvement on thermal images and poorer performance on colour images. These results show that smoothing filters have a potential to improve the robustness of common statistical learning classifiers.","PeriodicalId":269578,"journal":{"name":"Research Conference of the South African Institute of Computer Scientists and Information Technologists","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133311049","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Laurenz A. Cornelissen, Clarice de Bruyn, Maphiri K. Ledingwane, Pieter Theron, P. Schoonwinkel, R. J. Barnett
{"title":"Cross-Sample Community Detection and Sentiment Analysis: South African Twitter","authors":"Laurenz A. Cornelissen, Clarice de Bruyn, Maphiri K. Ledingwane, Pieter Theron, P. Schoonwinkel, R. J. Barnett","doi":"10.1145/3351108.3351135","DOIUrl":"https://doi.org/10.1145/3351108.3351135","url":null,"abstract":"This study investigates the persistent communities on South African Twitter across 24 datasets that have been collected since 2014. It also analyses the sentiment of the identified communities towards each other, as well as the sentiment the community shares with itself. To perform this analysis, 24 datasets were aggregated, cleaned and an iterative approach to community detection was used to accurately map the South African communities. The procedure identified 18 communities, 15 of which were found to be persistent across all datasets. The overall sentiment calculated across the dataset resulted in 16.1% tweets classified as neutral, 41.6% classified as positive and 40.3% of tweets classified as negative. Sentiment was aggregated to community level to investigate the polarity of interactions between these communities.","PeriodicalId":269578,"journal":{"name":"Research Conference of the South African Institute of Computer Scientists and Information Technologists","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134031027","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Does automation influence career decisions among South African students?","authors":"Sakhumzi N. Mbilini, D. Roux, D. Parry","doi":"10.1145/3351108.3351137","DOIUrl":"https://doi.org/10.1145/3351108.3351137","url":null,"abstract":"The potential impact of rapidly advancing automation technologies on the demand for human labour has emerged as a prominent discourse in mainstream and academic media. In this study we advance this line of inquiry by determining the extent to which automation influences the career decisions of university students. 935 undergraduate students at a large, research-oriented university completed a survey which addresses level of awareness of automation, beliefs about automation, as well as the factors and sources of influence which impact career decisions. Our findings suggest that, while most students perceive themselves to be well informed about automation, and generally believe that machines will displace human labour, they do not consider their own future occupations to be susceptible to automation. Accordingly, few students consider automation as a factor when making career decisions.","PeriodicalId":269578,"journal":{"name":"Research Conference of the South African Institute of Computer Scientists and Information Technologists","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127617548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Segmenting objects with indistinct edges, with application to aerial imagery of vegetation","authors":"Katherine James, K. Bradshaw","doi":"10.1145/3351108.3351124","DOIUrl":"https://doi.org/10.1145/3351108.3351124","url":null,"abstract":"Image segmentation mask creation relies on objects having distinct edges. While this may be true for the objects seen in many image segmentation challenges, it is less so when approaching tasks such as segmentation of vegetation in aerial imagery. Such datasets contain indistinct edges, or areas of mixed information at edges, which introduces a level of annotator subjectivity at edge pixels. Existing loss functions apply equal learning ability to both these pixels of low and high annotation confidence. In this paper, we propose a weight map based loss function that takes into account low confidence in the annotation at edges of objects by down-weighting the contribution of these pixels to the overall loss. We examine different weight map designs to find the most optimal one when applied to a dataset of aerial imagery of vegetation, with the task of segmenting a particular genus of shrub from other land cover types. When compared to inverse class frequency weighted binary cross-entropy loss, we found that using weight map based loss produced a better performing model than binary cross-entropy loss, improving F1 score by 4%.","PeriodicalId":269578,"journal":{"name":"Research Conference of the South African Institute of Computer Scientists and Information Technologists","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124048879","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Gerald Nathan Balekaki, M. Kuttel, A. Schroeder, Sarah Blyth, S. Berman
{"title":"A Scalable Database Model of RFI Data for the MeerKAT Radio Telescope","authors":"Gerald Nathan Balekaki, M. Kuttel, A. Schroeder, Sarah Blyth, S. Berman","doi":"10.1145/3351108.3351127","DOIUrl":"https://doi.org/10.1145/3351108.3351127","url":null,"abstract":"In radio astronomy, radio frequency interference (RFI) refers to any signal captured by a radio telescope that did not originate from the observed target in the sky. As RFI corrupts observational data and may even damage radio telescope equipment, astronomers seek to store data on RFI, with the aim of mitigating or preventing future interference events. This is a concern for the MeerKAT telescope, precursor to the Square Kilometer Array and one of the largest and most sensitive radio telescope in the world to date. Currently, RFI data at MeerKAT is collected in many different file formats that do not fit into traditional database models created to store data in a fixed schema. Therefore, we have designed a scalable database model for RFI storage, that supports many databases and many data models. The database is deployed in a Dockerized environment. Preliminary testing of our design shows linearly scaling of data ingestion as data sizes increases, as well as fast query processing.","PeriodicalId":269578,"journal":{"name":"Research Conference of the South African Institute of Computer Scientists and Information Technologists","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129962834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Radio Frequency Identification Implementation Challenges: A South African Case Study","authors":"Morné Esau, Lisa F. Seymour","doi":"10.1145/3351108.3351140","DOIUrl":"https://doi.org/10.1145/3351108.3351140","url":null,"abstract":"Radio Frequency Identification (RFID) is revolutionizing stock management in the retail industry. Yet, in South Africa, there is a slow uptake in implementing the technology with organizations being unsure about the challenges and how to overcome them. In response, this study describes the challenges of implementing RFID in the South African retail industry. This qualitative, descriptive case study analysed semi-structured interview data and organisational documentation using thematic analysis. The challenges found were dominated by a lack of RFID expertise and struggling to justify the implementation. The findings of the study add to the theoretical knowledge and limited case studies of RFID implementations in Africa and are of benefit to retailers considering implementing the technology in South Africa.","PeriodicalId":269578,"journal":{"name":"Research Conference of the South African Institute of Computer Scientists and Information Technologists","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116384132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}