Abyssinia Journal of Engineering and Computing 2021-01-07T07:04:53-05:00 Editor-in-Chief Open Journal Systems <p><strong>Abyssinia Journal of Engineering and Computing (AJEC)</strong> is a journal established by Wollo University, Kombolch Institite of Technology as a family of journal of Abyssinia Journal of Science and Technology (AJST) and covers the most innovative, cutting edge, original and influential works of broad interest to all engineering and computing technology research results.</p> <p>This journal is established to be one of the known sources of proven research outputs and reviews in engineering and computing fields of study in the near future; covering innovative and original researches in the aforementioned fields of studies. </p> <p>The editors welcome inclusive articles and short communication reporting original finding and major technical achievements in addition to review articles. This journal also aims to publish special issue articles dedicated to some case histories. In addition AJECalso welcomes to publish best articles presented in annual conferences and symposiums.</p> <p>AJEC provides authors with rigorous peer review, rapid publication, and maximum visibility. The journal expects to accept innovative and most significant submitted manuscripts.</p> <p><strong>DATE OF PUBLISHING</strong><br />Every year first issue in January and the second issue in July.</p> Automatic Early Detection and Classification of Leukemia from Microscopic Blood Image 2021-01-06T11:04:54-05:00 Kokeb Dese Gebremeskel Timothy Chung Kwa K. Hakkins Raj Gelan Ayana Zewdie Tilahun Yemaneh Shenkute Wondimagegn Addisu Maleko <p>Leukemia is a form of blood cancer that affects white blood cells, and is one of the leading causes of death among humans. Currently, diagnosis of leukemia is done through visual inspection of microscopic images of blood cell, which is time consuming, tedious, and requires trained human experts. Therefore, the lack of an automatic, early, and effective leukemia detection system is a great challenge in Ethiopian hospitals. The main objective of this research is to develop an automatic early detection, and classification system to diagnose leukemia from blood image using machine learning and image processing algorithm. To do the research, 400 leukemic blood images and 50 normal blood images had acquired from Jimma University Specialized Hospital using digital microscope, and preprocessed with contrast enhancement. K-means image segmentation and feature extraction were applied by the system. Multi Class Support Vector Machine has used to provide detection and classification of leukemia disease based on the extracted features parameter. The leukemia disease detection and classification accuracy achieved by developed system is 94.62%. Moreover, 94.17% sensitivity and 100% specificity level has been gained by the system. It takes an average of one minute to provide the diagnosis result. The potential of digital image analysis for leukemia disease diagnosis using artificial intelligence; which is not tedious and time consuming is very beneficial when compared to the manual method. In the future, direct diagnosing system of leukemia without staining process is recommended.</p> 2021-01-01T00:00:00-05:00 Copyright (c) 2021 AJEC Development and Analysis of the Thermal Behaviour of Non-Woven Fabric made with Cotton and Acrylic Blend 2021-01-07T06:35:57-05:00 Sukumar Nachiappan Mohammed Hussien <p>Thermal insulators are composed of fibres that have greater resistance towards heat, light radiation, chemicalresistance, and other related properties in their specified area of application. Major applications of thermal insulators in the form of non-woven fabrics are apparel, interlinings, blanket and sleeping rugs, automobiles, shoe covers,carpets, building insulators, and industrial packing equipment. In this research work, we have developed an engineered non-woven thermal insulator fabric from Cotton/Acrylic blend by stitch bonding process by the laying offibres during web preparation. Here, we selected fibres cotton and acrylic for the production of non-woven thermalinsulation because of their comparatively lower cost, availability, better thermal stability, for its attractive physical and mechanical properties. Different blending ratios, GSM and stitch density were taken into consideration as the main factors focused during sample preparation. Then, the non-woven fabrics were taken for laboratory testing of itsGSM, stitch density, thickness, air permeability, and thermal conductivity tests. The thermal conductivity tests werecarried out using static or gravitational method with WL 372 radial and linear heat conduction instruments. As perthe test results, the thermal conductivity of the developed fabrics shows increment with the reduction of fabricweight, stitch density, air permeability and cotton fibre content in the blending composition.</p> 2021-01-01T00:00:00-05:00 Copyright (c) 2021 AJEC Optimization of Phototherapy Machine for Advanced Treatment of Neonatal Jaundice 2021-01-07T07:04:53-05:00 Hundessa Daba Nemomssa Bheema Lingaiha Wasihun Alemayehu <p>Neonatal Jaundice is a medical condition in which high number of unconjugated bilirubin exists in infant’s blood resulting in yellowish colour of baby’s skin and whites of the eye. Unconjugated bilirubin is potentially toxic to neural tissue both brain and spinal cord. Entry of unconjugated bilirubin into the brain can cause both short-term and long-term neurological dysfunction, bilirubin encephalopathy, which needs serious attention. Even though hospitals use phototherapy machine to treat jaundice, there are a number of gaps on the machine related to its effectiveness. Among the gaps long hospitalization time, biological hazards from strong optical radiation and limitation to higher hospitals are the major ones. The main objective of this research was to optimize phototherapy machine for advanced treatment of neonatal jaundice. Before optimization activities, necessary clinical study was performed and the results from the clinical study were used as an input for optimization work. The optimization work included integration of non-invasive bilirubin measurement, light intensity measurement, back treatment and different power supply options to overcome the gaps. The actual device using 465 nm light emitting diode was developed and tested against specifications. Non-invasive measurement system avoids invasive bilirubin measurement, comfortable and makes tracking treatment progress easier. Addressing all skin surface of a baby by the device improves treatment efficiency and plays vital role in baby to mother bond as it reduces treatment time.</p> 2021-01-01T00:00:00-05:00 Copyright (c) 2021 AJEC Characterization of Petroleum Oil Seepage Using Modern Spectroscopic Techniques: In Case of Were Ilu-Legeheda, Ethiopia 2021-01-07T06:28:50-05:00 Sisay Awoke Dessalegn Gezahegn <p>The sedimentary regions of Ethiopia cover a significant portion of the country and comprise five distinct sedimentary basins; namely, Ogaden, Abay, Mekele, Gambela and Southern Rift Basins. The Blue Nile basin is a North West-South East trending branch of the Ogaden intra continental rift basin. The presence of an oil seepage at Were Ilu and Legeheda points to the presence of an active petroleum system. The main aim of this study was to characterize the chemical nature of the seepage oil leaked out from the hard basalt rock of Mechela river. Seepage oil samples were analyzed using ultraviolet (UV), infrared (IR), and nuclear magnetic resonance (NMR) spectroscopic methods. All the chemical analysis obtained from UV, IR and NMR showed that high contents of saturated hydrocarbons were found in the petroleum collected from the stated areas, which is the principal criterion for identification of pure petroleum oil.</p> 2021-01-01T00:00:00-05:00 Copyright (c) 2021 AJEC Effect of Reinforment of Particles on the Mechanical Properties of Al6065-SiC, Al6065- Al2O3, Hybrid Composites by Modified Stir Casting Method 2021-01-07T06:42:39-05:00 Ashok. N Tikilt Mulu <p>Aluminum and its alloys are the most essential considerations as base metal in metal matrix composites. The aluminum alloys are reasonably attracted by various researchers owing to their decrease in weight, high quality corrosion resistance, maximum thermal and electrical conductivity, and on precipitation, they exhibit higher strength and superior damping capacity. The strong requirement for weight reduction in automobile and aerospace industries insists on the optimization of the design of products to make use of less weight materials. MMCs production has numerous challenges like porosity formation, attainment of good wettability and inappropriate distribution of reinforcement. Homogenous distribution of reinforcement in the metal matrix composites is the most important challenge among the other parameters and obtained by twostep stir casting method. In this present research work Al6065 &amp; Hybrid composites with four different reinforcement particles such as SiC, alumina, SiC-fly ash, alumina-fly ash in three different weight fractions (2, 4, and 6 %) were fabricated by modified stir casting method. The mechanical properties of the Al6065 &amp; hybrid composites and unreinforced alloy have been investigated. The enhancement in the mechanical properties of Al6065 composites due to the reinforcement of particles is obtained.</p> 2021-01-01T00:00:00-05:00 Copyright (c) 2021 AJEC