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Research Paper

Investigation of engineering properties of soils found in Arba Minch Zuria (Limat to Shara)

The objective of this thesis is to investigate the engineering properties of the soils found from Limat to Shara and understand the nature of the soils. Arba Minch town is located in Gamo Gofa Zone in SNNPRS at a distance of about 505km from the National Capital city, Addis Ababa, and 270km far from the Regional Capital city, Hawassa. Arba Minch town is one of the rapidly developing towns in Ethiopia and new construction activities were appearing in the town. Investigating the characteristic of supporting soil is vital in order to have a safe and stable foundation. To achieve this objective, in order to determine the engineering properties of soils were accompanied on selected 24 soil samples, which were taken from Limat to Shara at not more than 500m interval, and the procedure used for analysis was done according to ASTM standard. This paper presents the field and laboratory test results of soils that were performed to determine the Engineering properties of soils from Limat to Shara. The test results showed that the field density ranges from 1.61 to 1.96g/cc. NMC ranges from 5.22 to 33.58%. LL ranges from 28.04 to 64.23%, PL ranges from 20.68 to 32.06%, and PI ranges from 4.16 to 33.21%. And from FSI results 12.5% are medium expansive soils were obtained. From plasticity characteristics of the study area falls in low to high plasticity characteristics are observed. The USCS classification soils are classified as CH, MH, CL, ML, SC, SC-SM, GC, and GC-GM. And AASHTO classification of soils is fallen in A-2-4, A-4, A-6, A-7-5, and A-7-6. The Compaction test result showed that maximum dry density (MDD) of the study area ranges from 1.57 to 1.93g/cm3 and the optimum moisture content (OMC) ranges 14.40 to 30.50%. The unconfined compressive strength test result ranges from 99.10 to157.17kPa. And direct shear test results, internal friction angle (Φ) and cohesion (C) falls for TP-11, C = 10.71kPa and Φ = 35.37°, for TP-12, C = 9.42kPa and Φ=36.80°C.Finally, from dimensional consolidation test results, the Compression index, Cc ranges from 0.43 to 0.53, Swelling index, Cs ranges from 0.06 to 0.1, and Pc vary between 67 to 98kPa.

Published by: Saol Toyebo

Author: Saol Toyebo

Paper ID: V6I1-1150

Paper Status: published

Published: January 31, 2020

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Review Paper

Nutritional, Nutraceutical and Pharmacological properties of Buckwheat (Fagopyrum esculentum): A Review

Buckwheat is a multipurpose crop, gluten-free, pseudo-cereal. It is cultivated at a high altitude in different regions of the world and in India. In India, It is considered as a neglected crop in due to its required climatic conditions to for cultivation, low productivity, low economic value and also lack of awareness of important properties of the plant. Buckwheat have high nutritional, Nutraceutical properties due to its high composition of amount 67-75% starch,7-21% protein,1.2-4.3% lipids ,5-11% dietary fibers and 1.8-4.2% minerals. It shows antioxidant, anti-inflammatory,anti-diabetic, antit-umeric, anti-stress effect and also reneal and wound healing properties. These reviews show the history, distribution, nutritional, nutraceutical and pharmacological properties of Buckwheat (Fagopyrum esculentum ).

Published by: Md Jiyaul Mustafa

Author: Md Jiyaul Mustafa

Paper ID: V6I1-1210

Paper Status: published

Published: January 31, 2020

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Research Paper

Enhancing periocular recognition using Bayesian support vector machine attractive for recognition

Periocular recognition has been an active research area in the field of biometrics. The periocular region is normally a rectangular region localized by the eye center or the inner and outer corners of the eye. Choosing features that represent the reliable and discriminative properties of the periocular region is one of the most critical tasks in the periocular recognition problem. This project tackles this feature extraction problem and proposes a novel approach to efficiently extract discriminative properties of the periocular region with high recognition performance. The proficiency to learn robust features from the images makes the Bayesian support vector machine (BSVM) attractive for recognition. Harlick features and edge histogram descriptor is used to extract the features of training images.

Published by: Harsha. N, Dr. Balamurugan.A

Author: Harsha. N

Paper ID: V6I1-1161

Paper Status: published

Published: January 31, 2020

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Research Paper

“VISION VIA VIBRATION”-A wearable device for the visually impaired – Guides the blind to pick the objects

The main objective of developing “VISION VIA VIBRATIONS” is to help the visually impaired to actually interact with the environment. The proposed device will integrate a camera to view the user's environment and implement machine learning algorithms to interpret this data as a collection of objects. It will also utilize a novel directional haptic feedback system, enabling interactions with objects

Published by: Soma Prathibha, Pavithra Lakshmi S. P., Mankalaswetha N., Vanmathi V., T. P. Rani

Author: Soma Prathibha

Paper ID: V6I1-1187

Paper Status: published

Published: January 27, 2020

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Research Paper

Investigation of coarse aggregate size effect on compressive strength of C-25 concrete

Ethiopia one of the fastest-growing country in the world so from many sectors of the construction industry is one of them and in the construction industry there are many challenges that are generated during construction activities not identify the aggregate size for concrete have a negative impact on the compressive strength of concrete. So this research have identified the effect of aggregate size on compressive strength of C-25 concrete. This study aims at assessing the effect of aggregate size on compressive strength of C-25 concrete, comparing the result with the standard and to provide solution along with determining workability of concrete made from different sized coarse aggregates. This study has given a vast understanding on the effect of aggregate size on compressive strength of C-25 concrete. Significant to major stakeholders like: consultant, contractor, in order to minimize construction defects, cost, and poor quality of materials during construction which may cause defects and also be a guide for other researches. In order to satisfy the above objectives laboratory tests should have to be conducted. These tests are: Sieve analysis, Slump test, Silt content of sand, Specific gravity and absorption of fine aggregate, Specific gravity and absorption of course aggregate, Moisture content of aggregate and Compressive strength of cubic concrete test. After collecting and analyzing all laboratory results researcher have seen that compressive strength and workability have increased with increasing of aggregate size. The researcher has concluded that Coarse aggregate size is directly proportional to the slump (workability) of fresh concrete with constant water-cement ratio and the Compressive strength of a concrete increases with an increase in coarse aggregate size until it reaches 37.5mm and declines above the 37.5mm. And as per the ES and BS size 37.5mm has a mean of 27.15mpa within 28 days of curing this makes it relatively stronger. Researcher recommend that aggregate size 37.5mm can be used for mass concrete structures and size 19.3mm and 63mm with compressive strength of 23.58mpa and 23.65mpa have average strength and can be used to light buildings and to increase the workability of concrete one should increase maximum aggregate size.

Published by: Wondimagegn Tadesse Borku

Author: Wondimagegn Tadesse Borku

Paper ID: V6I1-1142

Paper Status: published

Published: January 27, 2020

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Research Paper

Causes of defects in building costruction projects and its recommended remedial measures: A case study in Tepi Town, Southern Ethiopia

Building defects is one of the major components of building problems that significantly needed attention. Minor defects can develop into serious ones, causing failure or sudden collapse, endangering lives and becoming more costly to rectify. As the researcher observed, most defects presented on the Tepi town buildings, due to absence of a serious follow-up and maintenance are: cracking, peeling of paint, defects on plastered structures, defects of roof, defects of rainwater goods (downpipes, gutters, and eaves), defects of stair, dampness penetration and vegetable growth on building. Based on the questioners and interview results the most dominant causes of defects in Tepi town is poor quality of materials with the highest mean rank value 4.21 and also other causes are poor workmanship with mean score value 4.05, inadequate supervision 3.73, poor maintenance during defects occurred 3.70, poor construction practices 3.72, Mix design problems 3.66, poor management system 3.68 and dampness problems 3.61 The methodologies would be applied to achieve the objective of the research, data had been taken literature survey, problem identification by field surveying, design of data collection methods observation, interview & questioner ), organized data, data-analyzed and conclusion drawn from the result of data analysis. The researcher concluded that defective in building construction is mostly a result of poor quality of materials, poor workmanship, inadequate supervision, poor maintenance, poor construction practices, and poor management system and most of it can be attributed to poor building materials and poor workmanship. The rate of defective construction can be minimized by the use of quality building materials, competent workmen, proper management system and adequate supervision.

Published by: Wondimagegn Tadesse Borku

Author: Wondimagegn Tadesse Borku

Paper ID: V6I1-1141

Paper Status: published

Published: January 27, 2020

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