Browsing by Author "Mukanda, Adeline"

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Energy efficient programming attributes in mobile applications environment
(KIBU, 2018-06-12) Mukanda, Adeline; Mbuguah, Samuel; Wabwoba, Franklin
Reducing energy consumption in ICT systems has been a concern since the earliest days of computing. There has been huge investment in hardware energy efficiency research such as low-power circuit design, virtualization, thin client and cloud computing among others, however the overall ICT energy consumption is still increasing. This is due to the fact that energy consumption not only depends on hardware features, but also on software usage and software internal characteristics. Poor choice of algorithms and data structures impact energy consumption. For this reason software developers are becoming conscious of writing energy efficient applications more so for mobile applications since mobile devices are energy constrained by nature. A number of empirical research on software energy consumption has been conducted. This paper seeks to establish programming attributes that are proven to be energy efficient in these studies through the adoption of desktop research design and internet being the tool. We observed that bundling small HTTP requests could save energy, query optimization in MySQL Server and use of sleep instruction in the Apache web server are energy efficient, darker colors are more energy efficient than lighter colors in OLED smartphones display, work-stealing parallel framework is more energy efficient when performing fine-grained CPU intensive computations than a thread-based implementation, Cross platform frameworks have a significant impact on energy consumption which greatly increases compared to an equal native application, the chosen programming language has a significant impact on energy consumption. However a certain degree of conflict is observed, the impact of refactoring has been addressed by multiple researchers but recommendations whether it is an energy efficient practice conflicts. Energy efficient programming practices help mobile applications developers in developing energy efficient applications which in long run improve mobile battery life leading to sustainability.
Modeling User Experience with Universities Websites Based on Webometric Ranking User Analysis
(International Journal of Computer Trends and Technology (IJCTT), 2020-04-27) Mukanda, Adeline; Mbuguah, Samuel Mungai; Wabwoba, Franklin; Aselemo, Peters Ikoha
The paper sets posits that Universities are ranked globally based on their web presence. The web crawler accesses the universities websites to collect data on presence, visibility, openness, and excellence. These data is then used to rank the Universities based on set criteria. The paper identifies design issues that may affect website ranking. The paper identifies as a gap lack of user analysis model for university website and recommends a study of the same.
Webometrics User Ranking Analysis Model Development and Validation
(International Journal of Computer and Organization Trends, 2022-04-26) Mukanda, Adeline; Mbuguah, Samwel Mungai; Wabwoba, Franklin
The webometrics user ranking analysis model was developed and validated. The need for the model arose as directorates of ICT in Kenyan Universities were assigned the challenge of improving their university's webo ranking. Webo ranking is the preferred method of the universities to showcase their niche and what they do to the global community. There are no published models for webometrics ranking. This leads to each university taking different approaches. In this paper, a model has been developed and validated.