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- ItemProposed Non Invasive Detection of Malaria by Spectral Analysis of Light of Varied Wavelengths through the Blood(American Research Journal of Biomedical Engineering, 2022-12-09) Adegbenro Sunday Ajani , Olusoji Amos Ogunbode, Godwin Babatunde Egbeyale , Olaoluwa Peter Oyero , Adebayo Segun Adewumi , Oluwatayo Sandra Ajani , Abdullahi Nasir Galadima , Paulina Funmi YirenkyiMalaria is a significant public health problem in many parts of the world. Accurate diagnosis and control currently relies on the invasive detection of parasitemias in the blood samples. This technique is invasive, increases risk of blood-borne disease transmission, and is uncomfortable for the patient. This research summarizes the diagnostic techniques that have been used to detect malaria in blood samples and their limitations. It is important to understand that noninvasive testing of malaria can provide adequate check and control high malaria rate by promoting early detection and treatment from mild to moderate to serve cases and noninvasive detection will never be achieved without good calibration approach. At this point, we are far away from reaching the aim of noninvasive detection of malaria through blood in the body, with many technical problems yet to be resolved. This research provides information that may be useful for future development of highly efficient non-invasive malaria detection methods.
- ItemDesign and Implementation of Improvised Portable Wind Turbine System for Domestic Applications(IOSR Journal Of Applied Physics (IOSR-JAP), 2022-11-05) Adegbenro SundayAjani ,Godwin Babatunde Egbeyale ,Olusoji Amos Ogunbode , Peter Olaoluwa Oyero , Qozeem Damilare Abdulwaheed , Charity Segun OdeyemiThis research carried out the design, construction and performance analysis of locally made portable wind turbine for domestic applications. Today, world is immensely seeking clean, renewable and cost effective energy to reduce greenhouse gases, which problem is becoming a global issue. Constructing a small wind turbine provides useful quantity of environmental friendly energy, to supply houses and workshops, without ejection of carbon-monoxide into the atmosphere. The conversion of kinetic energy in form of mechanical energy is transformed to generate electrical energy by vertical axis wind turbine, derived from 12 Volts car alternator. The car alternator used differs from a DC motor in that it contains no permanent magnet, instead there are two concentric wound coils of wire within the alternator. A stator coil, which does not rotate and a rotor coils were attached to the alternator’s shaft for movement. Electromagnetic field is created whenever current flows through the field coil, the resultant magnetic field sweeps clockwise through the coil of wire and electricity is generated in the stator coil.
- ItemDESIGN AND CONSTRUCTION OF AUTOMATED EGGS INCUBATOR FOR SMALL SCALE POULTRY FARMERS(International Journal of Technical Research & Science, 2020-08-10) Ajani Adegbenro Sunday, Olusoji Amos Ogunbode, Egbeyale Godwin Babatunde, Adeniji Muyideen OlalekanThis paper demonstrated the design, construction and performance evaluation of automated eggs incubator for poultry farmers. The aim of this research was to produce a low cost user friendly modern incubator to increase the production of day old chicks for small and medium scale poultry farmers. The incubator has the hatching capacity of 100 eggs. Factors that were considered during the performance evaluation of the incubator were humidity, 55% and temperature, 37° C during the first 18 days and were maintained at 37.5 °C till hatching. Turning of eggs was achieved with the use of tilting trays mechanism controlled by a programmed electric motor. The trays were lifted through an angle of 40° either side of horizontal at every hour and lasted for four minutes. 100 fresh, healthy, well developed and matured eggs were used to test the incubator. The result of the test revealed the following average values- fertile eggs 95, infertile eggs 5, hatched eggs 85 and hatchability of 89.47% was achieved.
- ItemDevelopment of Artificial Neural Network Based Model for Prediction of Radio Pathloss of a 4G-LTE-A Network in Ogbomoso, Nigeria(European Modern Studies Journal, 2022) Aremu, O. A., Oyinkanola, L. O. A., Makinde, O. S., Fajemiroye, Joseph Ademola, Ajani, Sunday Adegbenro, Alade, Michel OlusopePathloss propagation models are essential for optimal planning and deployment of wireless communication networks. However, the inherent complexity of radio signal propagation makes it difficult to predict received losses in different environments. Yet, there is a new paradigm shift towards the application of computational methods such as artificial neural networks (ANN) modeling to predict radio pathloss. In this study, a new ANN model was developed using measured pathloss data at four base stations in Ogbomoso south western Nigeria (Latitude 8°1227″N, Longitude 4°2436″E). Data collection, which spanned a period of twelve months took place in a free field at 900 MHz. The developed model was validated using independent pathloss data in different itineraries, distances and elevations and the results obtained were compared to existing empirical pathloss models such as: Cost-231, Okumura, Lee, and CCIR. The results obtained revealed that all the empirical pathloss models considered overestimated the measured pathloss with root mean square (RMSE) of 51.18, 44.22, 36.45 and 8.49 dB respectively. The developed ANN model validated using standard procedure had MAE, G, MBE and MAPE of 5.43 dB, 84.92%, 0.32 dB, and 2.28%, respectively, which is an indication of good model performance. Also, the developed ANN model performed better and was found to be optimal in terms of prediction accuracy with RMSE 5.59 dB at an R-value of 0.94, thus, out-peering existing empirical pathloss model. Based on these findings, the proposed ANN model can be deployed in all categories since the mean RMSE is within the acceptable standard value.
- ItemProposed Implementation of Electronic Nose in the Hospital to Detect Methicillin Resistant Staphylococcus Aureus(American Research Journal of Biomedical Engineering, 2018-06-05) Ajani Adegbenro Sunday , Olusoji Amos Ogunbodeb,Oluwatayo Sandra AjaniThis investigation pinpoints various applications of electronic noise in the medical field, to justify the proposed research and development of Electronic nose to recognize the smell MRSA in the hospital. Application of an electronic nose has been justified by many medical researchers as a promising intelligent device to give clinical diagnose to human diseases and to recognize many different pathogenic microorganisms. Research and Development of an electronic nose to recognize the smell of MRSA could be a way forward to prevent several difficult-to-treat infections in humans, to promoting early treatment from mild to severe before it spreads and cause outbreaks with a high mortality rate in the hospital.