Study of Concrete as Partially Replacement of Cement with Coal Bottom Ash (CBA)
The coal-fired thermal power plants are the main source of coal bottom ash. Coal Bottom Ash is used as a replacement of both sand and cement depending on the size of bottom ash. The present study will provide the better understanding of mechanical and durability properties of concrete in which cement is partially replaced with bottom ash. The present thesis would contribute to the efforts being made in the field of concrete technology towards the development of concretes possessing good strength and durability properties along with economic and ecological advantage. Based on the study, valuable advice will be given to concrete structures. In the present experimental study, the various strength properties like the compressive strength of cement mortar and concrete and also durability properties like Acid attack and water absorption test on both ordinary concrete and coal bottom ash Concrete, best coal bottom ash concrete mix is carried out and compared with ordinary concrete mix for economic and ecological study. In this study different percentage of ordinary and ground coal bottom ash is used. It was found that with an increase in the amount of coal bottom ash, standard consistency, initial and final setting time increases at the same time workability of concrete decreases. It was also found that initial days strength is less for bottom ash concrete compare to control mix, but as the age increases, they show good improvement in strength due to the pozzolanic reaction. Optimum dosage is observed to be 5% GBA which shows more strength compared to control mix at 56 days. It was found that with an increase in the amount of bottom ash resistance to acid attack increases. GBA shows more resistance to acid attack compared to OBA. With the increase in the amount of bottom ash water absorption capacity of concrete increases, also as the age increases for all the mix water absorption capacity decreases. It was also found that at optimum dosage i.e at 5% replacement of cement with GBA it is also economical and also the amount of CO2 Emitted is also decreased that means it is also environmentally friendly compared to control mix.
Published by: Mohammad Sarfaraz Ansari, Ram Bharosh
Author: Mohammad Sarfaraz Ansari
Paper ID: V4I2-1441
Paper Status: published
Published: March 27, 2018
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
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
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
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
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
