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Geotechnical characterization of subgrade soils on Arba Minch –Wolaita Sodo main road to Zefine town

Construction of the various pavement layers is very much dependent on the geotechnical characteristics of the subgrade soils. The aim of this paper is to characterize the subgrade soils of Arba Minch - Wolaita Sodo main road to Zefine town. To achieve these objectives, twenty soil sample pits were selected from different representative parts of the existing road at a 1km interval. The laboratory test results showed that the NMC ranges from 9.29% to 15.86%, Percentage finer ranges from 63.36% to 78.31%, LL ranges from 31.53% to 60.27%, PI ranges from 6.49% to 39.02%, GI ranges from 4 to 31, OMC ranges from 14.00 % to 17.74 %, MDD ranges from 1.74 g/cc to 1.98g/cc, CBR ranges from 2.05% to 9.08% and CBR swell ranges from 1.05% to 3.66%. Based on this results the study area was characterized as silt and clay soils, and for the soils classification under A-4, A-5 and A-7-6 according to AASHTO soil classification system and from all soil samples the subgrade strength class based on CBR value, for the soil samples, from TP1 to TP 3 were S1 and TP9, TP16, TP18 and TP19 were S4, and the remaining soil samples S3 class.

Published by: Esubalew Tariku, Yetmgeta Mekonnen, Saol Toyebo

Author: Esubalew Tariku

Paper ID: V6I1-1157

Paper Status: published

Published: February 3, 2020

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Research Paper

Investigation on some of the engineering properties of soils found in Shanto town

Investigations of the underground conditions at a site are a prerequisite to the economical design of the substructural elements. The objectives of this paper are to investigate some of the engineering properties of soils found in shanto town. In order to achieve objectives this study, 20 soil samples were taken at an average depth of 1.5m and 3m from different kebeles based on future expansion of the town and different laboratory tests were accompanied on the collected soil samples. The test results showed that the NMC ranges 18.07% to 45.22%, Υ ranges from15.28 to 19.17 KN/m3, Gs ranges from 2.66 to 2.75, LL ranges from 55 to 87%, PL ranges from 29.4 to 42.2%, PI from 25 to 45%, qu ranges from 112.6 -206.7kN/m2, Su ranges from 56.31-103.33 KN/m2, over consolidation ratio greater than 1 and compression index ranges from 0.110 to 0.246. Based on the laboratory test results, the study area soil was characterized as highly inorganic clay with soil class of A-7-5 and A-7-6 according to AASHTO soil classification scheme and inorganic clay of high plasticity (CH) according Unified Soil Classification System. One-dimensional consolidation test shows that the area under investigation is overconsolidated in its natural state with an over consolidation ratio greater than 1 and has a compression index ranges from 0.110 to 0.246.

Published by: Saol Toyebo, Esubalew Tariku, Yetmgeta Mekonnen

Author: Saol Toyebo

Paper ID: V6I1-1156

Paper Status: published

Published: January 31, 2020

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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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