http://ir.mu.ac.ke:8080/jspui/handle/123456789/16 2026-04-20T09:28:56Z http://ir.mu.ac.ke:8080/jspui/handle/123456789/7078 Title: Cost-reduced engineering of functional biomedical products in Kenya: a case study on electrocautery pens Authors: MacNeilage, Finlay; Douglas, Phoebe; Aruma, John Abstract: This paper provides details on a case study con- ducted into the low-cost production of electrocautery pens in Kenya. Kenya’s healthcare system is burdened by unaffordable biomedical products, tools and devices. As as consequence, preventable diseases and mortality strain the country. Kenya not only has a poorly equipped health care system, but the country is unable to maintain the imported equipment it has as a result of skills shortages in biomedical engineering in the country. The objective of this paper is to determine the feasibility for manufacturing cheaper biomedical engineering devices in Kenya, with a focus on electrocautery pens. Our method is based on an electro-mechanical design, materials selection, manufacture and testing. While our work is still in-progress, this paper elucidates the feasibility for manufacturing electrocautery devices at low-cost, while acknowledging the challenges in sourcing raw materials within the country 2021-01-01T00:00:00Z http://ir.mu.ac.ke:8080/jspui/handle/123456789/4882 Title: Modelling reservoir turbidity from medium resolution Sentinel-2A/MSI and Landsat-8/OLI satellite imagery Authors: Ouma, Yashon O. Abstract: This study investigates the use of Sentinel-2A (S2A) and Landsat-8 (L8) OLI for monitoring of turbidity in reservoir waters. Using observed in situ data from 18 sampling stations for Chebara Reservoir in Kenya, the study developed an empirical multivariate regression model for turbidity estimation from atmospherically corrected, band adjusted and spectral resolution standardized S2A and L8 bands. Best results for turbidity estimation were obtained from the regression of in situ data with B2 (blue) and B3 (green) bands as [Rrs(B2/B3)^2+Rrs((B2/B3)] for S2A and [Rrs((B3/B2)] for L8. Both S2A and L8 retrieved turbidity with high and nearly equal accuracy of R^2 > 0.75 from the visible and NIR bands, with nearly similar RMSE of 0.5 NTU and NMAE% being higher for S2A by more than 30% as compared to L8’s average NMAE% of 15%. The study shows that for both S2A and L8 sensors, and the proposed empirical regression algorithm suffices in the rapid and cost-effective quantification of turbidity inland reservoir waters. Using spatial interpolation for the visualization of the correlation between the predicted and observed turbidity, the L8 results were found to be more significant than the turbidity estimations using S2A bands. 2020-01-01T00:00:00Z http://ir.mu.ac.ke:8080/jspui/handle/123456789/4873 Title: Industrial engineering and operation management in ready-made garment industry ICPTRE 2020 Conference Authors: Ocident, Bongomin; Mwasiagi, Josphat Igadwa; Nganyi, Eric Oyondi; Nibikora, Ildephonse Abstract: • Ready-made garments (RMG) industry • Industrial Engineering (IE) and Operation Management (OM) • The concept and functions of IE and OM • Industrial engineering tools • ABC Classification • Process mapping • Time study • Brainstorming or brainwriting 2020-01-01T00:00:00Z http://ir.mu.ac.ke:8080/jspui/handle/123456789/2187 Title: Hydraulic design to Optimize the Treatment Capacity of multi-stage Filtration Units : A pilot plant study at Moi University Water Treatment works – Eldoret, Kenya Authors: Mushila Collins; Ochieng GMM; Otieno FAO; Shitote Stanley M. 2017-01-01T00:00:00Z