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Research Paper

An Experiment of Concrete Partially Replacement of Brick Kiln Dust

Sustainable resources management and development have been at the forefront of important issue concerning the construction industry for the past several years. Specifically, the use of sustainable building materials and reuse waste materials is gaining importance and becoming common place in many areas. As one of the most commonly used construction materials in the world, concrete composed of natural aggregate, natural sand, cement and water, out of these raw material for concrete, cement can be manufactured in industries but natural aggregates are non renewable resources and depleting at an alarming rate, results in scarcity of good quality natural occurring aggregates (coarse and finer one). In the present study the hardened properties like compressive strength, split tensile strength, and also durability properties like, CSAT and UPV test were carried out on Brick kiln dust concrete. The percentage of bricks kiln dust that partially and fully replaced by fine aggregates by weights were 0%, 10%, 20%, 30%, 40% and 50%. Experiments were conducted for both Ordinary Concrete and bricks kiln dust Concrete with different percentages of BKD. It is observed from the experimental results and its analysis, that the compressive strength of concrete, splitting tensile strength of concrete increases with addition of low Percentage of bricks kiln dust. The results show that the optimum replacement of recycled bricks kiln dust with fine aggregates was 30%. Up to 30% replacement, it is possible to gain the same strength as conventional concrete

Published by: Rahul Sharma, Ram Bharosh

Author: Rahul Sharma

Paper ID: V4I2-1442

Paper Status: published

Published: March 27, 2018

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Research Paper

A Study of Professionalism of College Teachers

The present study is related to measurement of professionalism of college teachers and to find out whether is there any significant difference towards professionalism of college teachers as far as the gender of the teacher , teachers working in various faculties and teaching experience are concerned. In this study, a Likert type five point attitude scale of twenty statements was developed and used by the researcher. Fifty six teachers working in different stream of Rajkot (Gujarat) were selected as the sample, among them 28 were male teachers and 28 were female teachers. Analysis and scoring of the study were done by t-Test and f-Test. The findings revealed that Gender, faculties i.e. Arts, Science, Commerce & Education and teaching experience had significant effect upon teachers attitude towards professionalism

Published by: Mangal Laxmi Hulgul

Author: Mangal Laxmi Hulgul

Paper ID: V4I2-1356

Paper Status: published

Published: March 26, 2018

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Survey Report

A Survey on Detection of Glaucoma using Fundus Images

Glaucoma, an eye disease, is often referred to as the silent thief of sight. The damage done by glaucoma is irreversible. There are many types of glaucoma. Early detection and treatment of glaucoma is the only solution. Till date, many works have been done towards automatic glaucoma detection using Fundus Images (FI) by extracting structural features. Structural features can be extracted from optic nerve head (ONH) analysis, cup to disc ratio(CDR) and Inferior, Superior, Nasal, Temporal (ISNT) rule in Fundus Image for glaucoma assessment. But unfortunately, the works till date fall short of expected accuracy in this regard. A review of automated glaucoma detection techniques is presented in this paper.

Published by: B. Yamini, K. Srilatha

Author: B. Yamini

Paper ID: V4I2-1371

Paper Status: published

Published: March 26, 2018

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Research Paper

Audio-Visual Emotion Recognition using 3DCNN and DBN Techniques

Emotion recognition is difficult because of the emotional hole amongst emotions and varying audio-visual highlights. Propelled by the effective element learning capacity of profound neural networks, this system proposes to connect the emotional hole by utilizing a hybrid deep replication, which first creates varying audio-visual fragment highlights with Convolutional Neural Networks (CNN) and 3DCNN, at that point wires varying audio-visual section includes in a Deep Belief Networks (DBN). The point of this postulation work is to research the algorithm of discourse Emotion recognition utilizing MATLAB. Right off the bat, five most generally utilized highlights are chosen and separated from discourse flag. After this, measurable esteems, for example, mean, change will be gotten from the highlights. This information alongside their related Emotion target will be bolstered to MATLAB neural network apparatus to train and test to make up the classifier. The general framework gives a solid execution, arranging effectively over 82% discourse tests after appropriately preparing.

Published by: S. Kumari, U. Kowsalya, R. Preethi, R. Theepa, J. Edward Paulraj, S. JeyaAnusuya

Author: S. Kumari

Paper ID: V4I2-1374

Paper Status: published

Published: March 26, 2018

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Review Paper

Home based Security System for Intruder detection using GSM module and PIR Sensors

The paper talks about the improvement of a home security and checking framework that works where the conventional security frameworks that are basically worried about controlling thievery and social occasion confirm against trespassing fall flat Home security is getting to be fundamental as the potential outcomes of interruption are expanding step by step. Parcel of Security organizations are accessible towards shielding house from getting vandalized or something like that. Yet at the same time there is no much assurance that the house be sheltered or regardless of whether the house vandalized, security staff protected and sound to answer to police close-by. This prompts property misfortune and harm. Parcel of research been completed utilizing sensors like PIR, Sensor Camera, GSM towards identifying the gate crasher at home.

Published by: Srieesh Padukone, Mohit ksh, D. Dhilip, Vineeth. V. Warrier, S. P. Maniraj

Author: Srieesh Padukone

Paper ID: V4I2-1380

Paper Status: published

Published: March 26, 2018

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Review Paper

Catch Me If You Can – IoT based System

Catch me if you can is a project with the main idea to protect the lives of the fishermen by ensuring their safety when they are traveling into the sea for fishing. We propose to track and monitor them using a different approach. Most of the fishermen cross the borders knowingly. So this cannot be prevented. Instead, we can have a single point check to make sure the required devices are in their possession and some other things can be checked by scanning them using SCANDIT SDK which is integrated to a smartphone to ensure fishermen safety as well as national security. Also, we will provide an IOT device so that we can track the location of their boats and send alerts to them who may cross the border unknowingly through which may save them from getting caught by neighboring country's coast guards.  

Published by: Dr. S Padma Priya, Hemanth Krishna S P, A L A Vishnu Sai, B V Rama Pulla Rao

Author: Dr. S Padma Priya

Paper ID: V4I2-1328

Paper Status: published

Published: March 26, 2018

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