School of Mathematics and Computing(SOMAC)

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A block chain-based framework for records management in land registry system in Uganda:
(Kampala International University, 2024-04) Keneth, Niyibizi
Blockchain is rapidly becoming established as the core technology of the Fourth Industrial Revolution. By combining blockchain to improve processes in existing industries, innovative of new services will emerge, but services not effectively applied by blockchain will also develop. This study investigated the factors to be considered when applying the characteristics of blockchain technology to land records management (Security, Economic and Decentration ). I designed a blockchain-based framework for land records management using the Delphi and analytic hierarchy process methods. The Delphi method is used to identify highly effective blockchain application factors by applying the evaluation framework to actual adoption in the public sector. By proposing a blockchain-based framework for blockchain application services, this study provides a systematic foundation for blockchain business review. Blockchains are expected to become more active along with the full-scale digital transformation of industries, and thus, we must examine the ways to broadly use blockchain as a base technology in a form applicable to the diverse industries and societies constituting the digital economy. Accordingly, this study presents an blockchain-based framework for promoting transparency and a protected digital information for land records management systems.
A thorough examination of Open Data Initiatives in East Africa, focusing on how they improve the accessibility of data
(RESEARCH INVENTION JOURNAL OF SCIENTIFIC AND EXPERIMENTAL SCIENCES, 2024) Echegu Darlington Arinze
Despite the progress made in infrastructure and technology, East Africa, which includes nations such as Kenya, Uganda, Tanzania, Rwanda, Burundi, and South Sudan, nevertheless has difficulties in terms of data accessibility, transparency, and governance. Timely, accurate, and relevant data is essential for sustainable growth, efficient policy creation, and informed decision-making. In the past, the availability and accessibility of data from East Africa have been limited, which has impeded efforts to tackle socioeconomic challenges such as healthcare delivery, environmental sustainability, and poverty reduction. Enhancing the accessibility and transparency of data is crucial for promoting progress and development. This study investigates open data projects in East Africa, specifically analysing their influence, difficulties, and potential advantages. The projects have the goal of making data access more accessible to everyone and promoting innovation. However, they encounter obstacles such as problems with the quality of data, gaps in capability, restrictions imposed by policies, and limitations in finance. Methods to address these challenges including boosting systems for ensuring the quality of data, bolstering efforts to increase capacity, refining regulatory frameworks, and promoting collaboration among stakeholders. Case studies in agriculture, health, and urban planning illustrate the significant influence of open data efforts, which promote socio-economic progress by fostering openness, accountability, innovation, and public empowerment. Nevertheless, obstacles such as data quality, deficiencies in capability, restrictions imposed by policies, and limitations in finance impede the complete realisation of the full potential of open data. We utilised relevant public data from varied and credible databases spanning the years 2004 to 2014. To summarise, open data projects have significant potential to promote sustainable development in East Africa. Stakeholders may harness the revolutionary potential of data by tackling obstacles and seizing favourable circumstances, therefore promoting comprehensive development and innovation for the region's socio-economic progress.
Adoption of e-learning technologies in education institutions/organizations: a literature review
(Asian Journal of Educational Research, 2017-10-25) Kimwise, Alone; Jehopio, Peter; Maiga, Gilbert
Although the advent of E-Learning Technologies presents the best cost effective strategy to teaching and learning, the success of these innovations primarily depends on their adoption. Investment in E-Learning Technologies alone by different institutions/organizations is not enough as its full benefits can only be realized from their full utilization. E-Learning Technologies if well utilized have the capacity to enhance students critical thinking, eliminate geographical barriers, support lifelong learning, reduce costs and increase efficiency at education institutions. E-Learning Technologies are technologies which are based on the backbone of ICT infrastructure. For this reason the Information & Communication Technology adoption models are useful in explaining E-Learning Technologies adoption. A number of models/theories which explain and predict user behaviors and intentions to adopt technologies have been advanced. For this discussion the following models were selected and analyzed, Theory of Reasoned Action (TRA), the origin technology acceptance model (TAM), the TOE framework & the revised TAM model.
Android platform for machine translation -a focus on Yorùbá Language
(American Journal of Computation, Communication and Control 2018; 5(1): 16-23, 2018-01) Olaide, Fagbolu Olutola; Kayode, Alese Boniface; Adewale, Olumide Sunday; Adetunmbi, Adebayo Olusola
Android platform provides useful words and phrases in English language, with translations in Yorùbá language, for the use of visitors to places where the language is spoken; it can be likened to bilingual dictionary of English-Yorùbá. It is developed on Mobile platform for easier accessibility, convenience and portability. Rough Set Theory (RST) is the mathematical tool used in decision support and data analysis of words or phrases that are to be translated. Comparisons between query that is, word or phrase to be translated, are made with the created corpus, using RST. Programming tools employed for mobile platform are JDK 6, Apache Ant 1.8 or later, Android Software Development Kit, Eclipse Integrated Development Environment, Android Developer and Android Studio while latest technologies such as PHP, Mysql,. net, Mssql 2005, 2008, Ajax techies, C#. It brings the usefulness of Information Technology to the doorstep of non- Yorùbá tourists or learners who wish to converse, make friends with Yorùbá people or transact business with Yorùbá indigenes that are not literate. It was found after its deployment to be intelligible and accurate with minimal errors. New words and expressions that are suitable for situations, legislation, science, engineering, commerce, computing, mass communication and other sphere of life were created in a large number.
Assessment of information management in selected rural health centers in Ntungamo district, Uganda
(International Journal of Multidisciplinary Research and Development, 2018-06) Akiteng, Immaculate; Businge, Phelix Mbabazi; Kareyo, Margaret; Nabayinda, Harriet; Namugabo, Lydia
Information management has become important in most organizations including hospitals and health centers and this is because access to information and other resources have become easier due to improvement and developments especially in technology. The purpose of this study was to examine the infrastructure used in rural health centers in managing information and to ascertain how quality of information was maintained in rural health centers. The study was conducted in two health centers of Rubaare health center IV, and Rwashamire health center IV, in Ntungamo district in western Uganda, questionnaire were used in the target population of 50, and a sample size of 44. 41 questionnaires were returned and this gave a return rate of 93.2 %.The results showed that infrastructure for information management is available but there is need to improve on the numbers and the findings in maintaining the quality of information clearly demonstrated that the health centers were using the manual or paper based system for maintaining the quality of patient records. The respondents reported having very little computer knowledge and limited access to computers (mean=2.63) and internet services (Mean=2.49), which suggests a lack of necessary skills among the health workers. The respondents disagreed (mean=2.20), that the health centers use an electronic health records system for maintaining patient’s records. The study suggested that health centers use computers in managing patient records and maintaining the quality of information as this will help them ensure privacy of data, reduce errors. The health centers need to establish written policies, which dictate on the relevance of computer knowledge to health workers and its relevance to the performance, quality of patient’s information and have daily backups of the information.
Auditing scholarly journals published in Malaysia and assessing their visibility
(MJLIS, 2012-04) Zainab, A.N.; Sanni, S.A.; Edzan, N.N.; Koh, A.P.
The problem with the identification of Malaysian scholarly journals lies in the lack of a current and complete listing of journals published in Malaysia. As a result, librarians are deprived of a tool that can be used for journal selection and identification of gaps in their serials collection. This study describes the audit carried out on scholarly journals, with the objectives (a) to trace and characterized scholarly journal titles published in Malaysia, and (b) to determine their visibility in international and national indexing databases. A total of 464 titles were traced and their yearly trends, publisher and publishing characteristics, bibliometrics and indexation in national, international and subject-based indexes were described.
Automated Personal Clinic Services in Uganda Software Requirement Specification
(Department of Computer Science, School of Computing & Information Technology, Kampala International University, Kampala, Uganda, 2018) Olaide, Fagbolu Olutola; Nyadru, Innocent
Software Requirement Specification for Personal Clinic Services enhance the availability and accessibility of traditional clinic, health care services are offer without limits or physical boundary, it is a web-based mobile Chatbot in google assistant that help patients to find closest clinics and hospitals in Uganda, offers medical prescription and other forms of medical assistances. It consists of three (3) parts which are Chatbot, Google home device and web portal. The google assistant guide was employed in the design using predefined procedures as Google application, Google app tool, PHP (Hypertext Preprocessor) which by default comes as handy tool with every android and it requires internet and Global Positioning System (GPS) connection. Few datasets were trained for machine learning using supervised learning category and other coding were done online. Personal Clinic prototype was simulated to provide basics of health care services to the prospective clients, doctors within the patient’s locality are contacted for further medical assistance whenever the need arises. Most of healthcare challenges would be solved and life expectancy would increase with greater capability to live healthier, longer and reduced the risk of patient harm.
Corona Virus Disease (COVID 19): Analysis and Design of an Alert and Real-time Tracking System
(Warse, 2020-05) Umezuruike, Chinecherem; Nwankwo, Wilson; Tibenderana, Prisca; Assimwe, John Patrick; Muhirwa, Ronald
Microscopic agents such as viruses, protozoa, bacteria, fungi, etc. are common aetiologic agents in most infections affecting man. Whereas some infectious diseases are localized owing to the unique geospatial and biochemical characteristics of the aetiologic agents, others are not bound by such restrictions hence their manifest tendencies towards evolving an epidemic or even a pandemic. CoVID-19 sprang up in Wuhan China in November 2019 and was declared a pandemic by the in January 2020 World Health Organization (WHO). Like the Spanish flu of 1918 that claimed millions of lives, the COVID-19 has caused the demise of thousands with China, Italy, Spain and the USA having the highest statistics on infection and mortality rates. Regardless of existing sophisticated technologies and medical science, the spread has continued to surge high. Tracking of suspected carriers (cases) has been difficult, thereby increasing the risk of spread. As a novel infection, real-time information management beyond national geographical borders is vital to the success of any disease management campaign. Currently, information on the Covid-19 and applicable management procedures in most countries is limited thus creating a knowledge and management gap among the populace and even health management personnel especially in areas susceptible to the pandemic. In response to the aforementioned, this paper proposes an Alert and Tracking System (CVATS) that enhances information dissemination, disease management, tracking of cases, and management of confirmed cases. The system follows an object-oriented approach in articulating the various actors and evolves a model that could be implemented on both web and mobile platforms. On mobile platform, it employs google maps and could be used to track persons as well as geographical areas with prevalence of infections.
Design and implementation of an android based automatic phase selector and overload protector using GSM
(Kampala International University, 2021-01) Umaru, Kalyankolo; Gabriel, Aguto. A; Zaina, Kalyankolo; Enerst, Edozie
In this century, the demand for electricity is increasing at an alarming rate that has caused pressure on the existing transmission and distribution networks. This has led to power cuts affecting sensitive facilities such as hospitals, industries and schools. This project is designed to automatically supply continuous power to the load through one or all of the three sources of supply that are: solar, mains grid & generator. In case their availability; an android app is used to select the source of choice and when the amount of load demand increases beyond what can be handled by one source, a mobile app is used to bring on board either of the remaining two sources so as to meet the load demand. The output of either source is connected to a voltage stabilizer which stabilizes the voltage to 220Vac by means of an auto-transformer with many taps and then the load is connected through an overload protector circuit which monitors the amount of current drawn. Once the current exceeds normal values, the last load connected is automatically isolated from the source leaving the critical loads connected. At the same time a message is sent to the operator by means of GSM, notifying of the overload. The operator can decide to operate the loads by sending a text message “normal” to restore the system operation to use an android app.
Design and implementation of three phase PWM inverter
(Kampala International University, 2021-02) Umaru, Kalyankolo; Abdunulu, Lawrence; Kavuma, Kigenyi; William, Isabirye; Enerst, Edozie; Zaina, Kalyankolo
This paper presents an advanced three phase inverter topology the Z-Source Inverter and its control using microcontroller Atmega 328P. Z-Source Inverter employs second order filter network at front end which provides unique buckboost feature for inverter. Z-Source inverter can be controlled by any traditional PWM method. Here the modified maximum constant boost PWM method is utilized for Z-Source inverter control. The microcontroller Atmega 328P is used to generate PWM pulses and to control operation of Z-Source inverter. The complete hardware is designed to drive the three phase induction motor. The hardware design involves the design of control circuit, driver circuit, Z-Source network, main inverter bridge, power supply etc. The Z-Source inverter is implemented and tested to verify the Z-Source inverter concept. The desired three phase PWM signals are generated by using control circuit and detailed hardware results are presented.
Developing an informatics model for effective healthcare in military health facilities in Nigeria
(WJERT, 2017-07) Chinecherem, Umezuruike; Okolie, Samuel O.; Adewale, O. Adebayo3; Nwankwo, Wilson; Jonah, Joshua V.
Management, exchange and control of clinical information flow, and decision support have remained a challenge in most secondary/tertiary healthcare institutions in Nigeria amidst the continued advancement in Information Technology. Many of those in need of healthcare are often attracted to Military health facilities owing to the public perception that such establishments have better facilities, dedicated personnel, and affordable cost. The common scenario is a high traffic of healthcare seekers thronging such facilities and invariably leading to poor care as available facilities are overstretched. This paper is an integral part of a series of investigations on how the large data generated during clinical care in public military health institutions in Nigeria could be used to aid effective planning and decision-support in health delivery. The study adopted a mix of design science and objectoriented methods to problem identification and analysis. First, a systematic study conducted revealed lack of integration of meaningful Information technologies into the practices and operations of most military hospitals as all information exchange is largely done manually.
Development of an optimized multimedia compression model for improved quality of service in virtual learning environments
(Kampala International University, 2024-06) Joshua, B. Alitweza
In the rapidly evolving landscape of education, one of the most transformative advancements has been the advent of e-learning. This mode of education encompasses a wide range of activities, from online courses and virtual classrooms to interactive simulations and multimedia presentations, demanding substantial bandwidth. However, in low-developed countries, e-learning often relies on wireless and mobile networks with limited bandwidth, low computing devices, and poor network connectivity, thereby hindering the effectiveness of learning in virtual environments. This research aims to address this challenge by exploring data compression algorithms through a comprehensive comparative analysis and developing an optimized data compression model suitable for low-bandwidth networks. The goal is to achieve maximum reduction of data in transit, facilitating quicker and timelier transmissions, thereby enhancing virtual learning environments and ensuring an effective and improved learning experience in institutions of learning. The research objectives included establishing requirements for designing a multimedia compression model for optimal bandwidth utilization, developing a multimedia compression model with optimum bandwidth utilization, and evaluating the model through comparative performance analysis to attain more optimized results. This study employed the Design Science methodology, complemented by simulation and experimentation. Additionally, the CRISP-DM (Cross-Industry Standard Process for Data Mining) methodology was employed, involving problem understanding, data understanding, modeling, evaluation, and implementation phases. These methodologies guided the research process and facilitated the systematic development and assessment of the compression model. The approach allowed for concrete measurements and comparisons, providing robust evidence of the model's effectiveness. DCT, Huffman, and Fractural compression algorithms were studied, analyzed, and compared for use in the model design. All algorithms were applied to multimedia data, with a focus on images and videos. The best optimal results were obtained after combining DCT and Huffman, resulting in a compression ratio of 0.14745 compared to 0.148601 for DCT alone and 1.00330 for Fractural. Optimizing DCT with Huffman yielded superior compression ratio (CR) and peak signal-to-noise ratio (PSNR), making it best suited for use in low-computing devices and poor network environments, thereby providing optimal performance for improved quality of service in virtual learning environments.
Factors for adoption of e-learning technologies in Ugandan high education institutions
(Kampala International University, School of Computing and Information Technology, 2016-09-09) Kimwise, Alone; Maiga, Gilbert; Jehopio, Peter
This research identifies the factors that affect adoption e-learning technologies in Ugandan High Education Institutions. Despite the enormous potential that e-learning technologies have in enhancing teaching and learning at Higher Educational institutions, the adoption of such technologies in Ugandan Higher Educational institutions is low. Effective adoption of such technologies requires that a number of issues be taken into account which among these includes technological and individual factors. To attain the objective of this study, a questionnaire was used to collect data from 380 participants (students, lecturers and ICT support) from four Ugandan Higher Education Institutions. Results showed that factors that are affecting adoption of e-learning technologies in Ugandan HEIs were; Patronage, Compatibility, Trialability, Complexity, Relative Advantage, Perceived Usefulness, and Perceived Ease of Use while as Observability factor did not influence behavioral intention to adopt e-learning technologies in Ugandan HEIs. This study concludes that well-designed trainings should be provided for the students, lecturers and ICT support staff to familiarize them with the fundamental knowledge on how to use the e-learning technologies in Ugandan HEIs as well as trial opportunities to build a better understanding in the operational functions.
Hybrid Methods for Credit Card Fraud Detection Using K-means Clustering with Hidden Markov Model and Multilayer Perceptron Algorithm
(SCIENCEDOMAIN international, 2016-12-10) Fashoto, Stephen Gbenga; Owolabi, Olumide; Adeleye, Oluwafunmito; Wandera, Joshua
The use of credit cards is fast becoming the most efficient and stress-free way of purchasing goods and services; as it can be used both physically and online. Hence, it has become imperative that we find a solution to the problem of credit card information security and also a method to detect fraudulent credit card transactions. Over the years, a number of Data Mining techniques have been applied in the area of credit card fraud detection. The focus of this paper is to model a fraud detection system that would attempt to maximally detect credit card fraud by generating clusters and analyzing the clusters generated by the dataset for anomalies. The major objective of this study is to compare the performance of two hybrid approaches in terms of the detection accuracy.We employed hybrid methods using the K-means Clustering algorithm with Multilayer Perceptron (MLP) and the Hidden Markov Model (HMM) for this study. Our tests revealed that the detection accuracy of “MLP with K-means Clustering” is higher than the “HMM with K-means Clustering” for 80% percentage split but the reverse is the case when the “MLP with K-means Clustering” is compared with the “HMM with K-means Clustering” for 10 fold cross-validation but the accuracy is the same in the two hybrid methods for percentage split of 66%. More extensive testing with much larger datasets is however required to validate theses results.
Impact Of Digitization Of Sustainable Agriculture In Uganda: A Case Study
(Journal of Applied Sciences, Information and Computing (JASIC), 2023-07) Nabulongo Ali, V. S. Manjula and Fatou Marega
Uganda has made outstanding progress in agricultural output, which is crucial for preserving the safety of the country's food supply. The role of technology and digitization in promoting sustainable agriculture practices in Uganda. The case study will focus on various innovative initiatives and solutions that have been implemented in the country to enhance agricultural productivity, reduce environmental impact, and improve livelihoods. By examining the current state of technology adoption in Ugandan agriculture, analyzing successful case studies, and identifying challenges and opportunities, this research will provide valuable insights into the potential of technology and digitization to drive sustainable agricultural development in Uganda.
Improving family planning through use of a mobile system:
(Kampala International University, 2024-06) Jenkins, Twinomugisha E.L.
The concerning trend of low utilization of family planning methods among the youth has led to increased risks of infectious diseases like human immunodeficiency virus, unintended pregnancies, abortions, maternal morbidity, and mortality. Despite advancements in healthcare and information dissemination, challenges in family planning uptake among young adults persist. The main objective of this study is to improve family planning uptake among Ugandan youth through the development and implementation of a mobile system. Specific objectives include gathering information on the requirements for the use of family planning methods by youth, developing a mobile system for enhancing access to and utilization of family planning methods among youth in Uganda, deploying and integrating the developed mobile system into existing infrastructure, and validating and testing the functionality and effectiveness of the implemented mobile system. This study addresses these issues by enhancing family planning practices through a mobile system, using the Design Science Methodology to investigate demographic characteristics, awareness, usage patterns, access to information, and perceptions regarding family planning among young adults aged 20-35. The findings show that many in this age group are familiar with modern family planning methods such as oral contraceptive pills, intra uterine devices, and emergency contraception pills, with intentions to use or prior utilization. Reasons for non-usage include lack of sexual activity, waiting until marriage, or concerns about side effects. Notably, 58% of respondents (214 out of 369) have used a mobile system for family planning information, primarily accessing it through the internet, healthcare facilities, and social media. Participants expressed a strong interest in mobile systems for family planning, desiring features like period tracking, detailed method information, and expert advice. The study highlights the potential of mobile apps to increase family planning uptake by providing personalized reminders, facilitating service access, and offering comprehensive information. Key factors for successful implementation include education, awareness campaigns, and improved method accessibility. Ultimately, leveraging technology through mobile systems can empower young adults to make informed reproductive health decisions, improving well-being and reducing unplanned pregnancies.
Integrated financial management information systems success factors in selected local government districts of Kanungu and Rukungiri
(International Journal of Scientific Engineering and Science, 2018) Arinatwe, Winfred; Kareyo, Margaret; Businge, Phelix Mbabazi
This study investigated the success factors of integrated financial management information system in selected local government districts of Kanungu and Rukungiri using by adapting employed the information systems success model of Delone and Mclean (2003) and the CRUT model of Kappos and Rivard (2008) and employing descriptive comparative design. Data was collected from 86 sample size in a total population of 110 using Interviews, observation and questionnaire method. findings revealed that information quality, organisational, technology and user factors were rated very high in Rukungiri and Kanungu with average mean above 3.3; while system and service quality were rated high in both districts of Rukungiri and Kanungu with average mean above 2.8. The study recommended improved IS training and capacity building and encourage IS users in quality participation.
Integration and analysis of unstructured data towards database optimization and decision making using deep learning techniques
(Kampala International University, 2024-06) Maxima, Ainomugisha
This thesis addresses the challenge of integrating unstructured data into a Relational Database Management System (RDBMS). The increasing volume and variety of unstructured data pose significant challenges for organizations seeking to leverage such data for decision-making. Traditional RDBMS are not well-equipped to handle unstructured data due to their structured nature, leading to inefficiencies in data storage and analysis. To overcome these challenges, a model is developed to automatically integrate unstructured data into a Relational Database Management System (RDBMS). The objectives include designing a classification model, implementing it for data integration and analysis, optimizing it for database optimization and decision support, and validating its effectiveness. The model efficiently extracts relevant information from categorized unstructured documents, facilitating structured database construction. The study rigorously followed a data science research methodology, encompassing data collection, model development, implementation, testing, evaluation, and validation. Results show significant performance improvement with the incorporation of LSTM layers, notably achieving an accuracy boost from 83.2% to 94.6% in receipt image processing. Similar improvements were observed across precision, recall, and F1-Score metrics. This accomplishment substantially addressed the hurdles associated with processing and analyzing unstructured data. In conclusion, the researcher strongly recommends the adoption of this model for the analysis of unstructured data. Future research could focus on further optimizing the model's performance and scalability, exploring additional deep learning techniques, and extending its applicability to other domains.
Mobile Applications and Agricultural Knowledge of Smallholder Famers in Kura Local Government, Kano State, Nigeria
(International Journal of Scientific Engineering and Science, 2017) Adabara, Ibrahim
This study was to investigate the relevance of mobile applications in enhancing the agricultural knowledge of smallholder farmers in Kura local government, Kano State - Nigeria. These are guided by assessing the relevance of mobile phones applications in agriculture to smallholder farmers. The study found that smallholder farmers use mobile phones mostly for making calls (85%), entertainment (50%), making transactions (45%), and social media (40%). Also, the study found that mobile phones seem to be relevant to smallholder farmers to research about market prices (65%), making calls to customers and other farmers (50%), and to get information about the market and availability of different commodities (50%). The study concluded that mobile phones could help smallholder farmers in Kura local government to improve their agricultural productivity by giving them access to basic financial services, new agricultural techniques, and new markets, in turn helping them to secure better prices for crops and better return on investments. As their income improves with each harvest, they can invest in better seeds, fertilizers, and chemicals.
Mobile Recruitment System for Nigerian Civil Service Commission via Cloud Computing
(Department of Computer Science, School of Computing and Information Technology, Kampala International University, Kampala, Uganda, 2018-04-07) Olaide, Fagbolu Olutola; Oluwatobi, Atoloye Afeez
Traditional recruitment procedures are replaced in order to overcome most of its attendant challenges such as time-consuming and tiresome nature of recruiting a larger number of applicants into Civil Service from different parts of Nigeria considering multifaceted nature of the nation. This research work obliterate favouritism, nepotism and other corrupt means that were the usual practice in shortlisting prospective candidate for job, electronic recruitment system are enhanced with the availability of mobile platform that improve accessibility with emerging computing paradigm over the internet. Finite State Transducer (FST) in Machine Learning is used to learn from the pool of candidates for employment, GIATI(Grammar Inference and Alignment for Transducers Inference) are efficiently applied that is prospective candidates are offered job on a deductive rule-based Machine Learning. It is implemented with Android Studio and WAMP server. Its performance was tested using Ogun State as a pilot in the Federation and User Satisfaction were evaluated.

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