2022 IST-Africa Conference (IST-Africa)最新文献_第6页

A Smart City Maturity Assessment Model for South African Municipalities 南非城市智慧城市成熟度评估模型

2022 IST-Africa Conference (IST-Africa) Pub Date : 2022-05-16 DOI: 10.23919/IST-Africa56635.2022.9845565

Silma Koekemoer, Rossouw von Solms

引用次数: 0

Determination of Per-Phase Equivalent Circuit Parameters of Three-Phase Transformer Using MATLAB/Simulink 用MATLAB/Simulink确定三相变压器的每相等效电路参数

2022 IST-Africa Conference (IST-Africa) Pub Date : 2022-05-16 DOI: 10.23919/IST-Africa56635.2022.9845552

Francis Katende, J. Katende

引用次数: 0

Strategic Partnerships in e-Health in Low and Lower Middle-Income Countries in Africa 非洲低收入和中低收入国家电子保健战略伙伴关系

2022 IST-Africa Conference (IST-Africa) Pub Date : 2022-05-16 DOI: 10.23919/IST-Africa56635.2022.9845638

R. Koubaa, Sana Rekik, M. Jmaiel, Million Tesfaye, Maame Esi Amekudzi, Muyepa Anthony, Moges Asressie, Konstantinos Antypas

引用次数: 0

Data Product Model for boosting Agricultural Productivity in Sub-Saharan Africa 提高撒哈拉以南非洲农业生产力的数据产品模型

2022 IST-Africa Conference (IST-Africa) Pub Date : 2022-05-16 DOI: 10.23919/IST-Africa56635.2022.9845597

C. Umezuruike, C. Diji, John Patrick Asiimwe, H. Ngugi

{"title":"Data Product Model for boosting Agricultural Productivity in Sub-Saharan Africa","authors":"C. Umezuruike, C. Diji, John Patrick Asiimwe, H. Ngugi","doi":"10.23919/IST-Africa56635.2022.9845597","DOIUrl":"https://doi.org/10.23919/IST-Africa56635.2022.9845597","url":null,"abstract":"Information systems have played vital roles in enhancing productivity in different domains using available data, especially in agriculture. With enormous data harvested from the direct farmers and remote sensor networks, there is still the gap of proper processing, and use to improve agricultural production in sub-Saharan Africa. As a means to an end, this work proposes a data product model that will boost agricultural production in sub-Saharan Africa. An object-oriented approach was employed to study the fundamental components of a data product and the processes involved. The study climaxed with the design of an implementable data product model using secondary data collected from secondary sources as input. The result was an interactive model that identified the actors, actions, sequence of data flow (Use Case and Sequence Diagram), and the model component. The proposed model has five distinct components: data production component; database component; Extract, Transform and Load component; the Data Team; and the Data Mart. The processes that go on within the components were itemized to be 7 processes.","PeriodicalId":142887,"journal":{"name":"2022 IST-Africa Conference (IST-Africa)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122619213","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}

引用次数: 0

Internet of Things, Big Data Analytics, and Deep Learning for Sustainable Precision Agriculture 物联网、大数据分析和深度学习助力可持续精准农业

2022 IST-Africa Conference (IST-Africa) Pub Date : 2022-05-16 DOI: 10.23919/IST-Africa56635.2022.9845510

E. Micheni, Jackson Machii, Julius Murumba

{"title":"Internet of Things, Big Data Analytics, and Deep Learning for Sustainable Precision Agriculture","authors":"E. Micheni, Jackson Machii, Julius Murumba","doi":"10.23919/IST-Africa56635.2022.9845510","DOIUrl":"https://doi.org/10.23919/IST-Africa56635.2022.9845510","url":null,"abstract":"Agriculture is undergoing a digital transformation because of population growth, climate change, and food security concerns. Agriculture is influenced by information technology in terms of cost reduction, efficiency, and sustainability. Precision agriculture employs IoT, deep learning, predictive analytics, and AI-based technologies to aid in the detection of plant diseases, pests, and poor plant nutrition in the field. The study’s objectives are as follows: 1) evaluate the role of smart technologies and their impact on precision agriculture sustainability; 2) assess the typical application of IoT data analytics and deep learning in precision agriculture; and 3) investigate the barriers to the adoption of sustainable precision farming. IoT technologies collect data and relay it to data analytics and deep learning for in-depth analysis. The findings indicate that data assists farmers in managing crop variety, phenotypes and selection, crop performance, soil quality, pH level, irrigation, and fertilizer application quantity. The study looks at typical application areas and critical success factors for precision agriculture. Technological issues, safety, privacy, cost, and legal issues influence the adoption of these technologies. Individual farmers, government, academics, and agricultural authorities will all benefit from the research. The study recommends the adoption and optimization of innovations and technologies e.g. mobile devices, access to better internet speed, low-cost and dependable satellites for positioning and imagery, and precision agriculture-optimized agricultural machinery. Future research should focus on the application of appropriate decision-support systems for implementing precision decisions.","PeriodicalId":142887,"journal":{"name":"2022 IST-Africa Conference (IST-Africa)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133653501","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}

引用次数: 4

Collaborative Open Innovation through an Open API Approach to Enable the Development of Financial Technology Infrastructure: Case of Botswana 通过开放API方法实现金融技术基础设施发展的协作式开放式创新:博茨瓦纳案例

2022 IST-Africa Conference (IST-Africa) Pub Date : 2022-05-16 DOI: 10.23919/IST-Africa56635.2022.9845617

Onneile Bashapi, Thotobolo Morapedi

{"title":"Collaborative Open Innovation through an Open API Approach to Enable the Development of Financial Technology Infrastructure: Case of Botswana","authors":"Onneile Bashapi, Thotobolo Morapedi","doi":"10.23919/IST-Africa56635.2022.9845617","DOIUrl":"https://doi.org/10.23919/IST-Africa56635.2022.9845617","url":null,"abstract":"The current digital financial services ecosystem in Botswana does not have policies facilitating an open banking environment, i.e., lack of public or Open APIs, leading to the financial technology infrastructure not being interoperable. This paper aims to develop a conceptual framework that will enable the development of an interoperable financial ecosystem through collaborative open innovation in Botswana. A literature review was used to identify developments towards open banking or open APIs in other countries. The National ICT Policy Review and E-commerce Strategy for Botswana were reviewed to identify developments in Botswana regarding the financial technology infrastructure. The literature review showed the need for collaboration between banks and fintechs as they can both benefit from that relationship. The results of the study achieved all the objectives whereby (i) an Open API conceptual framework that will enable the development of an interoperable financial ecosystem through collaborative Open Innovation was developed, (ii) a mobile payment architecture based on the Open API conceptual framework and (iii) a mobile application as a proof-of-concept based on the developed Open API conceptual framework. Business benefits of the study were discussed.","PeriodicalId":142887,"journal":{"name":"2022 IST-Africa Conference (IST-Africa)","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123519131","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}

引用次数: 0

Design of a Tomato Harvesting Robot for Agricultural Small and Medium Enterprises (SMEs) 面向农业中小企业的番茄收获机器人设计

2022 IST-Africa Conference (IST-Africa) Pub Date : 2022-05-16 DOI: 10.23919/IST-Africa56635.2022.9845635

Mohammad Shoaib Ibne Saleem Casseem, S. Venkannah, Y. Bissessur

{"title":"Design of a Tomato Harvesting Robot for Agricultural Small and Medium Enterprises (SMEs)","authors":"Mohammad Shoaib Ibne Saleem Casseem, S. Venkannah, Y. Bissessur","doi":"10.23919/IST-Africa56635.2022.9845635","DOIUrl":"https://doi.org/10.23919/IST-Africa56635.2022.9845635","url":null,"abstract":"Recent problems in the world have highlighted the disadvantages of being a global village. Many countries have become over dependent on external sources for many basic commodities affecting the local primary sector. Food security is a major concern to small islands states like Mauritius and one major issue is the high cost of production and labor scarcity. Artificial intelligence can now be used to support the local entrepreneurs in their businesses, but the major problem is barrier to the introduction of new technologies due to lack of technical support to the local entrepreneurs. This project aims at the design of a system that is capable of harvesting tomatoes indoor in an autonomous way for an entrepreneur involved in Mauritius, who is currently facing various problems related mostly to a shortage of labour. The system was designed specifically for the company taking into consideration its requirements and constraints. The proposed system was a 3-axis robotic arm mounted on an Automated Guided Vehicle (AGV) capable of picking tomatoes using computer vision for identification and recognition. The spatial location of the fruits was obtained by means of stereovision, which is a technique consisting of two cameras viewing the scene from two different positions and then through triangulation, the real-world coordinates of the tomatoes were extracted. Using this information, the robotic arm was able to pluck and store the tomatoes. The AGV, on the other hand, was used to transport the robotic arm throughout the greenhouse and line following was employed so that the vehicle achieved an autonomous behaviour. The time for the robotic arm to harvest and store one tomato was approximately ten seconds, but this slow speed was compensated by the system’s ability to work for four hours straight and multiple shifts after charging.","PeriodicalId":142887,"journal":{"name":"2022 IST-Africa Conference (IST-Africa)","volume":"172 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114422643","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}

引用次数: 0

GenoTrack, a Webtool to Geospatially Link Bacterial Genomes from Environmental and Clinical Settings 从环境和临床设置中链接细菌基因组的地理空间网络工具gentrack

2022 IST-Africa Conference (IST-Africa) Pub Date : 2022-05-16 DOI: 10.23919/IST-Africa56635.2022.9845587

Mutshiene Deogratias Ekwanzala, M. Momba

{"title":"GenoTrack, a Webtool to Geospatially Link Bacterial Genomes from Environmental and Clinical Settings","authors":"Mutshiene Deogratias Ekwanzala, M. Momba","doi":"10.23919/IST-Africa56635.2022.9845587","DOIUrl":"https://doi.org/10.23919/IST-Africa56635.2022.9845587","url":null,"abstract":"Environment-related infections are a significant cause of mortality in developing countries and cause substantial morbidity in developed nations. This situation is exacerbated with the recent emergence of multi-and pan-drug resistant bacteria, where their spread and development are now a genuine health issue that is rapidly expanding worldwide. There is, therefore, a need for an integrated and curated database at a genomic level that will enable the tracking and identification of sources of resistant environmental to clinical infections for epidemiological containment. This paper presents GenoTrack - a genomic epidemiology web application that geospatially maps clinical bacterial genomes isolated from environmental and clinical settings focusing on their antibiotic resistance genes content. GenoTrack enables the geospatial mapping of genomes of selected bacteria using the cartographic display to yield a precise distribution of genomes in different settings. A phylogenomic tree showing the relatedness of analysed genomes and genome alignment features allows structural genomic element analysis. Here, we outline the development of GenoTrack and its implemented features, and we demonstrate its application to track genomes from different environments.","PeriodicalId":142887,"journal":{"name":"2022 IST-Africa Conference (IST-Africa)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124950505","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}

引用次数: 0

Public Sentiments in User Generated Content amid COVID-19 Pandemic in Ghana COVID-19在加纳流行期间，用户生成内容中的公众情绪

2022 IST-Africa Conference (IST-Africa) Pub Date : 2022-05-16 DOI: 10.23919/IST-Africa56635.2022.9845616

E. A. Kolog

{"title":"Public Sentiments in User Generated Content amid COVID-19 Pandemic in Ghana","authors":"E. A. Kolog","doi":"10.23919/IST-Africa56635.2022.9845616","DOIUrl":"https://doi.org/10.23919/IST-Africa56635.2022.9845616","url":null,"abstract":"Towards post COVID-19 pandemic, a natural language processing (NLP) technique was leveraged to understand the sentiments of Ghanaians through their public discourse in tweets during the lockdown period in Ghana. With NLP resources, feature words were extracted from the tweets and fed into three machine learning algorithms to track public sentiments in the tweets. The algorithms, support vector machines (SVM), naïve-bayes (NB) and artificial neural network (ANN) were evaluated to ascertain their efficacies. Frequently occurring words used by Ghanaians during the lockdown period were extracted to provide more insight into public sentiments. The study revealed that negative sentiments prevailed throughout the COVID-19 lockdown among Ghanaians. However, positive sentiments were surprisingly high at some points during the lockdown period. The result of evaluating the machine learning classifier yielded SVM as the best performing classifier though the other classifiers performed beyond the acceptable threshold. With these findings, it is envisioned that this study will be adopted by policymakers, as a guide, towards public management of public sentiments in pandemics.","PeriodicalId":142887,"journal":{"name":"2022 IST-Africa Conference (IST-Africa)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129202104","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}

引用次数: 0

The Use of Electronic Notification Systems (e-Notification system) for Registering Births and Deaths: Findings from a Developing Country 使用电子通知系统(电子通知系统)进行出生和死亡登记:来自一个发展中国家的调查结果

2022 IST-Africa Conference (IST-Africa) Pub Date : 2022-05-16 DOI: 10.23919/IST-Africa56635.2022.9845592

Maria Shilamba, J. Osakwe, G. Iyawa, M. Ujakpa

{"title":"The Use of Electronic Notification Systems (e-Notification system) for Registering Births and Deaths: Findings from a Developing Country","authors":"Maria Shilamba, J. Osakwe, G. Iyawa, M. Ujakpa","doi":"10.23919/IST-Africa56635.2022.9845592","DOIUrl":"https://doi.org/10.23919/IST-Africa56635.2022.9845592","url":null,"abstract":"Health organisations are increasingly investing in Information and Communication Technologies (ICT) for benefits related to work process optimisation. One of these is the timely registration of births and deaths through an electronic system called the e-Notification systems. The purpose of this study is therefore to assess the extent at which an e-Notification system is being used in developing countries using the Katima Mulilo State Hospital as a case study. The study will also ascertain the benefits and drawbacks the hospital is currently experiencing with the introduction of the new system. To attain the main objective, a quantitative approach was adopted in this research. Data was collected from Katima Mulilo hospital nurses and doctors through survey questionnaires. Findings of the study revealed that the system is easy to use, the operating staff handling the systems are trained and there is an availability of technicians who handles the maintenance of the system. However, there are concerns of inadequate infrastructure. Recommendations to provide sufficient computers and improve the ICT infrastructure are outlined.","PeriodicalId":142887,"journal":{"name":"2022 IST-Africa Conference (IST-Africa)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122341507","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}

引用次数: 0