2022 IST-Africa Conference (IST-Africa)最新文献_第4页

Toward Improved Data Quality in Public Health: Analysis of Anomaly Detection Tools applied to HIV/AIDS Data in Africa 提高公共卫生数据质量:分析非洲应用于艾滋病毒/艾滋病数据的异常检测工具

2022 IST-Africa Conference (IST-Africa) Pub Date : 2022-05-16 DOI: 10.23919/IST-Africa56635.2022.9845662

Folashikemi Maryam Asani Olaniyan, A. Owoseni

引用次数: 0

An IoT Based Web Application for Tracking and Managing Covid-19 Related Data. A Case of Kenyan Learning Institutions 基于物联网的Web应用程序，用于跟踪和管理Covid-19相关数据。肯尼亚教育机构的案例

2022 IST-Africa Conference (IST-Africa) Pub Date : 2022-05-16 DOI: 10.23919/IST-Africa56635.2022.9845528

Jafer Hassan Abdikadir, Amen Tamene Gemeda, S. Mwongela

{"title":"An IoT Based Web Application for Tracking and Managing Covid-19 Related Data. A Case of Kenyan Learning Institutions","authors":"Jafer Hassan Abdikadir, Amen Tamene Gemeda, S. Mwongela","doi":"10.23919/IST-Africa56635.2022.9845528","DOIUrl":"https://doi.org/10.23919/IST-Africa56635.2022.9845528","url":null,"abstract":"Since the dawn of COVID-19, everything has changed drastically. From education to business, all sectors of peoples’ lives have been affected. An arising issue from the current situation is the tracking and managing of COVID-19 related data. With the resumption of educational institutions in Kenya, adherence to protocols provided by the ministry of education is paramount. One of the guidelines provided for the resumption of schools is thermal monitoring/screening of people, which has been implemented differently across the country. Some universities have opted for checking students’ temperatures and not keeping a record of this information. Others require students to go through a check-up to give their details, and their temperature is recorded. The flaw with this system is inadequate record-keeping as the records are manual, which leads to a hectic analysis. The research aimed to find a solution to better manage and analyse COVID-19 data. The solution was implemented using IoT technology and AI, where a camera and a temperature sensor was used to record the temperature and identify the students. The research methods applied were experimental and a case study of Kenyan universities. A progressive web application is used to interact with the system. The solution was able to improve on data management and analysis, among other benefits.","PeriodicalId":142887,"journal":{"name":"2022 IST-Africa Conference (IST-Africa)","volume":"36 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":"131929399","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

Mask-Up: A Face Mask Alert App Using Machine Learning masup:一款使用机器学习的口罩警报应用程序

2022 IST-Africa Conference (IST-Africa) Pub Date : 2022-05-16 DOI: 10.23919/IST-Africa56635.2022.9845517

Nesisa Moyo, Sibonile Moyo, Belinda Mutunhu

{"title":"Mask-Up: A Face Mask Alert App Using Machine Learning","authors":"Nesisa Moyo, Sibonile Moyo, Belinda Mutunhu","doi":"10.23919/IST-Africa56635.2022.9845517","DOIUrl":"https://doi.org/10.23919/IST-Africa56635.2022.9845517","url":null,"abstract":"The COVID-19 pandemic has been a challenge for the past two years, and continues to be so, with the virus showing more mutations with time. The use of face masks in public spaces has been proven to be a precautionary measure to minimize the spread of the Coronavirus, which is the causative agent of the disease. However, enforcing the proper wearing of masks, particularly in environments like schools is a daunting task. This study develops a live video camera application that detects proper wearing of face masks by students in schools using a machine learning algorithm. On detecting an improper mask-wearing face, or a face with no mask, the system displays a red message “No Mask”, while a face with a mask properly worn is flagged with a green message “Mask”. To enforce the proper wearing of masks, on detecting persons improperly wearing masks, the system automatically sends an alert WhatsApp message to the classroom manager (teacher) to take appropriate action. This application would help ease the workload of teachers who have the task of ensuring a quality teaching and learning environment, at the same time safeguarding the health of learners in this COVID-19 era.","PeriodicalId":142887,"journal":{"name":"2022 IST-Africa Conference (IST-Africa)","volume":"112 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120933106","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

Preliminary Experiments on the Performance of Machine Learning Models 机器学习模型性能的初步实验

2022 IST-Africa Conference (IST-Africa) Pub Date : 2022-05-16 DOI: 10.23919/IST-Africa56635.2022.9845534

Misheck Banda, E. Ngassam, Ernest Mnkandla

{"title":"Preliminary Experiments on the Performance of Machine Learning Models","authors":"Misheck Banda, E. Ngassam, Ernest Mnkandla","doi":"10.23919/IST-Africa56635.2022.9845534","DOIUrl":"https://doi.org/10.23919/IST-Africa56635.2022.9845534","url":null,"abstract":"Artificial intelligence and its related machine learning technologies constantly change how organisations manage their business data in a dynamic environment of ubiquitous data sources and formats. Most organisations face the challenge of selecting the appropriate machine learning models to extract insights from their existing business data, of which datasets may be unstructured, of different forms, types, and sizes. Logistic regression, random forest, and decision tree were the three machine learning models selected for this paper’s preliminary experiments to predict the likelihood of passengers surviving the Titanic disaster. Our investigation revealed that specific models are required to handle specific dataset types, in this case, categorical datasets. It was noted from the findings that a logistic regression model could be highly recommended for use on a categorical dataset based on the speed and high prediction performance obtained in the classification error metrics and confusion matrix. The selected models form part of a set of models currently being explored in the construction of hybrid machine learning models beyond the scope of this paper.","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":"130921072","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

Water Quality Monitoring Using IoT & Machine Learning 使用物联网和机器学习进行水质监测

2022 IST-Africa Conference (IST-Africa) Pub Date : 2022-05-16 DOI: 10.23919/IST-Africa56635.2022.9845590

A. Omambia, B. Maake, Anthony Wambua Wambua

引用次数: 6

Intelligent and Flood Resilient Agriculture 智能和抗洪农业

2022 IST-Africa Conference (IST-Africa) Pub Date : 2022-05-16 DOI: 10.23919/IST-Africa56635.2022.9845599

A. Periola, A. Alonge, K. Ogudo

引用次数: 0

Determinants of Information Systems Resources for Business Organisations’ Competitive Advantage: A Resource-Based View Approach 信息系统资源对企业竞争优势的决定因素:基于资源的观点

2022 IST-Africa Conference (IST-Africa) Pub Date : 2022-05-16 DOI: 10.23919/IST-Africa56635.2022.9845670

J. Osakwe, Iyaloo N. Waiganjo, Terhemen Tarzoor, G. Iyawa, M. Ujakpa

引用次数: 2

Perceptual Impacts of Wireless Network Impairments on Video Streaming QoE using Taguchi Approach 基于田口方法的无线网络损伤对视频流QoE的感知影响

2022 IST-Africa Conference (IST-Africa) Pub Date : 2022-05-16 DOI: 10.23919/IST-Africa56635.2022.9845654

Alex Mongi

{"title":"Perceptual Impacts of Wireless Network Impairments on Video Streaming QoE using Taguchi Approach","authors":"Alex Mongi","doi":"10.23919/IST-Africa56635.2022.9845654","DOIUrl":"https://doi.org/10.23919/IST-Africa56635.2022.9845654","url":null,"abstract":"Video streaming applications have grown tremendously in recent years due to the technological advancement of wireless networks and smart devices. Unlike voice content, videos possess strict network performance demands to deliver a quality view. The Quality of Experience (QoE) refers to the level of users’ satisfaction with the delivered service and is one of the important aspects of managing wireless networks. Normally, wireless networks inherently exhibit various impairments such as packet loss, delay, and jitter. Therefore, understanding QoE on services delivered through the wireless networks is a basic requirement for the quality management process. Hence, this study adopts the Taguchi design of experiments to investigate the simultaneous impacts of network impairments on video streaming QoE. Experiments were conducted in a laboratory using a wireless network testbed. Different network conditions were emulated and real people assessed their impacts on videos streamed using smart devices. This study found that delay and jitter significantly affected video streaming QoE at $mathrm{p}lt 0.05$. Moreover, the effects of packet loss were not significant but exhibited outstanding interaction effects with jitter on video streaming QoE, which must be considered for effective network management practices.","PeriodicalId":142887,"journal":{"name":"2022 IST-Africa Conference (IST-Africa)","volume":"34 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":"126329658","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

A Remote Blood Pressure Data Collection and Monitoring System for Expectant Mothers 一种用于孕妇的远程血压数据采集和监测系统

2022 IST-Africa Conference (IST-Africa) Pub Date : 2022-05-16 DOI: 10.23919/IST-Africa56635.2022.9845511

M. Thiga, Pamela C. Kimeto, Mvurya Mgala, E. Kweyu, Steve Wanyee, Tooroti Mwirigi

引用次数: 0

Tackling Occupational and Nosocomial Infection using Vitex-Medical Assistant Tool 使用vitex医疗辅助工具处理职业和医院感染

2022 IST-Africa Conference (IST-Africa) Pub Date : 2022-05-16 DOI: 10.23919/IST-Africa56635.2022.9845540

F. Uzoka, Mugisha Gift, K. Attai, B. Akinnuwesi, S. Mlay, P. Zeh, Arnold Kiirya, C. Muhumuza, J. Bukenya, S. Fashoto, Daniel Asuquo, C. Akwaowo, O. K. Akputu, Mercy E. Edoho, Ifiok J. Udo, Lucy Amaniyo, A. Metfula, Gorretti Kyeyune

{"title":"Tackling Occupational and Nosocomial Infection using Vitex-Medical Assistant Tool","authors":"F. Uzoka, Mugisha Gift, K. Attai, B. Akinnuwesi, S. Mlay, P. Zeh, Arnold Kiirya, C. Muhumuza, J. Bukenya, S. Fashoto, Daniel Asuquo, C. Akwaowo, O. K. Akputu, Mercy E. Edoho, Ifiok J. Udo, Lucy Amaniyo, A. Metfula, Gorretti Kyeyune","doi":"10.23919/IST-Africa56635.2022.9845540","DOIUrl":"https://doi.org/10.23919/IST-Africa56635.2022.9845540","url":null,"abstract":"In middle- and low-income countries where higher nosocomial infection rates have been reported, approximately 5% to 10% of hospitalized patients have some infection acquired after admission. Recent studies suggest that contaminated environmental surfaces may play a major role in the transmission of nosocomial infections. Therefore, this study presents an e-Medical Assistant Tool (Vitex), which is a mobile device that disinfects wards of 100 square feet in a single cycle which can be increased since the device is mobile by using powerful U.V rays of 222nm that can be used in occupied rooms without adverse effects on human health. It also employs artificial intelligence, big data, and machine learning to improve patient care and practitioner assistance. Unlike existing similar devices, our innovation disinfects the ward, and facilitates healthcare provision via remote patient consultation and diagnosis; thus, bringing care nearer to the patient.","PeriodicalId":142887,"journal":{"name":"2022 IST-Africa Conference (IST-Africa)","volume":"417 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":"117318367","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: 1