ir.bowen.edu.ng:8181/jspui/handle/123456789/95 Computer Science 2026-04-02T16:09:06Z ir.bowen.edu.ng:8181/jspui/handle/123456789/1237 Title: Development and Evaluation of an Android-based Yoruba Language Proverbs Preservatory and Repository System Authors: Oyelami, Olufemi M.; Famutimi, Ranti F.; Fadare, Tolulope S. Abstract: Yoruba language in Nigeria is one of the several languages of the world that face extinction, and proverbs are an important component of languages, especially Yoruba language. A good mastery of Yoruba proverbs is an indication that the speaker has an in-depth knowledge of the language. However, the current generation of Yoruba youths do not understand the proverbs in the language let alone how to use them in their writings and speeches. Hence, there is a need to preserve the proverbs in the language for these young and future generations in a bid to ensure continuity and prevent the extinction that looms over these proverbs. Towards preserving these proverbs and ultimately preserving the language, an Android-based Yoruba language proverbs preservatory and repository system was developed and its success evaluated majorly among the age groups that need to learn them based on DeLone and Mclean Success Model. The results show that the system was successful. This means that systems of this nature can be used as a platform for the young and future generations to learn Yoruba proverbs and their usage towards ultimately preserving the language and removing the extinction that looms over it. 2021-01-01T00:00:00Z ir.bowen.edu.ng:8181/jspui/handle/123456789/1215 Title: An empirical comparison of the performances of single structure columnar in-memory and disk-resident data storage techniques using healthcare big data Authors: Famutimi, Ranti F.; Oyelami, Olufemi M.; Ibitoye, Ayodeji O.; Awoniran, Olalekan M. Abstract: Healthcare data in images, texts and other unstructured formats have continued to grow exponentially while generating storage concerns. Even though there are other complexities, volume complexity is a major challenge for Disk-Resident technique in storage optimization. Hence, this research aimed to empirically compare the efficiency of Disk-Resident and In-Memory single structure database technique (as opposed to multiple structure In-Memory database), using descriptive and inferential big data analytical approaches. The essence was to discover a more cost-effective storage option for healthcare big data. Data from Nigerian Health Insurance Scheme (NHIS) alongside sample patients’ history from Made-in-Nigeria Primary Healthcare Information System (MINPHIS) which included patients’ investigation, patients’ bio-data and patients’ diagnoses were the primary data for this research. An implementation of both Disk-Resident and single structure In-Memory resident data storage was carried out on these big data sources. After storage, each quantity of data items stored for different data items in Disk-Resident was then compared with that of single structure In-Memory resident system using size of items as comparison criteria and different analyses made. The results obtained showed that single structure In-Memory technique conserved up to 90.57% of memory spaces with respect to the traditional (common) Disk-Resident technique for text data items. This shows that with this In-Memory technique, an improved performance in terms of storage was obtained. 2023-01-01T00:00:00Z ir.bowen.edu.ng:8181/jspui/handle/123456789/1211 Title: Development and Success Evaluation of a Chatbot-based Herbs and Fruits Therapeutic Properties Inquiry System Authors: Oyelami, Olufemi Moses; Awoniran, Olalekan Monsir; Oyakhire, Rudolf Omozuafo Abstract: In this research, we explored the use of a conversational-based inquiry system in healthcare through the development of medicinal herbs and fruits therapy chatbot for different ailments and tested the application for success using the DeLone & McLean Success Model. Our methodology involves gathering medicinal herbs and fruits from published materials,design a mobile chatbot application, and finally, system testing for intention to use, user satisfaction, net benefits, and acceptability using 30 respondents. The results from the evaluation show that a large percentage of the respondents supported the use of cell phones, PDAs, and smartphones for obtaining therapeutic information about herbs and fruits. Also, a large percentage were satisfied with the system, found the application beneficial, and would always use the developed application. Conclusively, conversational-based inquiry systems and AI applications can be developed for information provision on medicinal herbs and fruits therapeutics of various ailments and illnesses. 2021-01-01T00:00:00Z ir.bowen.edu.ng:8181/jspui/handle/123456789/1076 Title: Performances of Modified Diminishing Increment Sorting In Improving the Performances of Some Sorting Algorithms Authors: Oyelami, Olufemi Moses Abstract: There are several sorting algorithms in existence. Some are well known while others are not so well known, but important. However, more and more are still being developed to take care of the weaknesses of the existing ones and to make sorting simpler to implement. One of such new algorithms is the Modified Diminishing Increment Sorting (MDIS). In this article, a review is carried out of this algorithm and the several existing algorithms it has been employed to improve. In addition, a variant of MDIS christened Circlesort which applies MDIS in a recursive manner is also presented. Its performance comparisons with MDIS and other notable algorithms in the best case, average case and the worst case are presented. This review will help prospective application developers that need to implement sorting determine when MDIS and its variant are strong and when the algorithms compared with them also have their own strengths so as to guide their choices. 2020-01-01T00:00:00Z