Browsing by Author "Okey, Ambokile"

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Design of the data-driven software application for identification, population monitoring, and risk assessment for lions in Serengeti Tanzania
(International Academy of Ecology and Environmental Sciences, 2024-09) Okey, Ambokile; Nyambo, Devotha; Kaijage, Shubi; Masenga, Emmanuel; Levi, Matana
This study presents a design of a Data-Driven software application for identification, population monitoring, and risk assessment for lions in Serengeti Tanzania. Lions’ populations have been declining due to poaching, overhunting, and other ecosystem factors resulting in unmet demands for tourism and ecological balance. Data-driven techniques can lower the negative consequences by providing mechanisms for lions’ management, risk assessment, and monitoring in selected wildlife reserves. Lion’s whisker spots, poaching rates, prey availability, human-conflict incidences, and pride size are key elements for achieving management, identification, monitoring, and risk assessment for lions. The software application design aimed at providing conceptual and logical requirements for the development of the application that will enhance lions’ monitoring and management efforts to protect their existence and contribution to the ecosystem. The study was conducted in the Serengeti ecosystem, including ecologists from the Tanzania Wildlife Research Institute Serengeti Wildlife Research Center, and information systems analysts. Through a mixed research methods approach, qualitative methods and incremental prototyping software development life cycle model were used to develop the specific requirements. Unified Modeling Language (UML) was used to model the requirements and led to the realization of design diagrams: application framework, database design, and artificial intelligence model workflows. The application should equip ecologists with tools to add and identify specific lions, monitor sightings, estimate population trends, assess risks for individual lions, and produce reports on monitoring and sightings. This design serves as a foundation for developing the data-driven software application for identification, population monitoring, and risk assessment for lions in Serengeti National Park Tanzania which will enhance monitoring and management activities of lions’ population non-invasively.
A Web-based application for recommendation of open source software for higher learning institutions in Tanzania
(NM-AIST, 2019-02) Okey, Ambokile
Higher Learning Institutions (HLIs) perform a vital role in developing students to professionals, and in contributing to social and industrial development through research outputs and delivering professional support to different organizations. The growth of Information and Communication Technologies (ICTs) has led to the high use of software tools for supporting the roles of HLIs to deliver high-quality research and education. However, most of the Proprietary Software (PS) tools are expensive, hence hindering HLIs in Tanzania from using them for their core activities. Open Source Software (OSS) provide advantages for HLIs because they remove the cost of acquiring licenses and prevent software illegality issues. However, in Tanzania, most of HLIs do not use OSS due to lack of awareness. This study aimed at improving the adoption of OSS in Tanzanian HLIs through enhancement of individual awareness on the existing OSS designed for academic purposes using a recommender application. The application uses three recommendation approaches: content-based, demographic and collaborative filtering. Questionnaires were used for identifying currently used software in different academic areas of specializations and gathering requirements for development of a web-based application. Further, it explored useful OSS designed for academic purposes from online platforms and categorized them according to their academic area of use. The list of categorized OSS were uploaded to the application’s database and used as a foundation for recommendations. The developed application passed a test against users’ requirements as it was able to: recommend OSS, send notification through user’s email, allow view and download, and accept users’ feedbacks.
Web-based Application Tool for Recommendation of Open Source Software for Higher Learning Institution in Tanzania
(Modern Education and Computer Science Press, 2019-02) Okey, Ambokile; Sam, Anael E.
Open Source Software (OSS) provide a number of advantages to Higher Learning Institutions (HLIs) in developing countries, such as Tanzania. This is because they are freely available, free to make copies and free to distribute. Through literature reviewed, it has been observed that OSS usage in HLIs in Tanzania is low due to lack of awareness of OSS designed for academic purposes. This paper presents a study on how to implement a reliable and effective web-based application tool for recommendation of OSS for enhancing awareness of HLIs on existing OSS designed for academic purposes. There are three recommendation algorithms that were employed for filtering the OSS in this study: the content-based, collaborative, and demographic filtering. We used various web technologies for the implementation of application functionalities. The result is the reliable and effective web-based application tool that recommends OSS to individuals in HLIs for enhancing their awareness of OSS designed for academic purposes.