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Research Paper

Development in pervious concrete by using the green concept

Pervious concrete or No fineness concrete is a conventional concrete that is used in foreign countries for draining stormwater and increasing the groundwater level. This project is mainly based on the investigation and increasing the strength characteristics of Pervious concrete. The mix design is designed considering only cement and coarse aggregate since the concrete is a “NO FINENESS CONCRETE”. The mix ratio is considered as 1:6 and the water-cement ratio is taken from 0.4-0.45. The admixtures are added in % of cement for Nano silica & % of concrete for polypropylene. The final outcome to be received is an increase in the strength of pervious concrete by improving their characteristics and make them utilized for Road pavements.

Published by: Amruta Banne, Pratiksha Patil, Harshali Jadhav, Priti Salunke, Rohini Jamadar, Vaibhavi Khatake, Ankita Bura, Ameer Husain Jamdar

Author: Amruta Banne

Paper ID: V7I4-1436

Paper Status: published

Published: August 12, 2021

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Research Paper

The Current Status of Folk Theatre and Traditional Folk Theatre forms of Odisha

The theatrical tradition of Odisha has been flowing through various streams of theatre like Classical Sanskrit Theatre, Folk Theatre, Traditional Folk Theatre and Modern Odia Theatre. Basically the tradition of Folk Theatre and Traditional Folk Theatre has been playing a vital role in the performing art medium of Odisha as well as India since its origin to till today. But subsequently many changes have been occurred in these forms of theatre arts due to the impact of Modernity and Globalization. Some of them have already been died and others are struggling for their survival. So this study aims to identify the exhaustive list of Odia Folk Theatre and Traditional Folk Theatre and its current status.

Published by: Ajita Kumar Muni

Author: Ajita Kumar Muni

Paper ID: V7I4-1711

Paper Status: published

Published: August 11, 2021

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Research Paper

Measurement of service quality in the banking system -A case study of State Bank of India (SBI)

The rapid growth in population and technology in India has led to rapid development in the service industry in the country. The aim of this study is to establish the aspects of the customer’s view on the service quality offered at the State Bank of India (SBI). To place customer’s needs into the quality dimension, a Survey questionnaire is developed to obtain customers' responses on the level of quality of services offered. Then, Factor analysis (FA) was carried out on the customer responses obtained through a questionnaire survey. Analytic Hierarchy Process (AHP) basically helps to establish the weights of the banking service quality dimensions. Technique for Order Preference Similarity to Ideal Solution (TOPSIS) is employed to obtain the ranking of different branches basing on the weights of quality dimension obtain from AHP.

Published by: Levi Ptang Uny Cheworei

Author: Levi Ptang Uny Cheworei

Paper ID: V7I4-1727

Paper Status: published

Published: August 11, 2021

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Research Paper

Heart disease clustering using K-Mean analysis

Clustering is a method of grouping records in a database based on certain criteria. One method of clustering is K-Means Clustering. K-Means Clustering divides data into multiple data sets and can accept data inputs without class labels. This research uses the K-Means Clustering method and implements it on the Heart disease dataset. In this paper, the risk factors that cause heart disease are considered and predicted using the K-means algorithm and the analysis is carried out using publicly available data for heart disease. The dataset holds 209 records with 8 attributes such as age, chest pain type, blood pressure, blood glucose level, ECG in rest, heart rate, and four types of chest pain. To predict heart disease, a K-means clustering algorithm is used along with data analytics and visualization tool. The paper discusses the pre-processing methods, classifier performances, and metrics. In the result section, the visualized data shows that the prediction is accurate.

Published by: Gomanth D Reddy

Author: Gomanth D Reddy

Paper ID: V7I4-1730

Paper Status: published

Published: August 11, 2021

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Research Paper

Modeling and CFD simulation of double pipe heat exchanger with different mass flow rates

In this study, the efficiency of a double pipe heat exchanger with the plain tube as well as coil insert tube is investigated by using water and various nanofluids mixed with water. Silicon Oxide and silver nanofluid are the nanofluids mixed with water at volume fractions of 0.35 percent. The properties of nanofluids are determined by theoretical calculations, which are then used as inputs for analysis. CATIA parametric software is used to build a 3D model of the double pipe heat exchanger (plain and coil insert tube). At different mass flow rates of 0.32, 0.52, and 0.72 kg/sec, CFD analysis is performed on the double pipe heat exchanger with water, silicon oxide, and silver nanoparticle. Furthermore, theoretical calculations on the double pipe heat exchanger were performed.

Published by: Koduri Nithesh, Vasili Srinivas

Author: Koduri Nithesh

Paper ID: V7I4-1743

Paper Status: published

Published: August 11, 2021

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Research Paper

Crime Prediction using Naïve Bayes Algorithm

This paper presents the detection of the crimes happening in India. The criminal offenses lead to certain punishment according to the Indian Penal Code (IPC). For particular crimes, particular sections are assigned to punish the criminal or convicts with jail terms and fines. On these pre-processed data sets, by applying the Naïve Bayesian algorithm we create a predictive model which analyzes the data and helps to predict the crime type in a near future. We are using a dataset to apply the Naïve Bayes algorithm to predict crimes in India.

Published by: Mohammad Tahir, Md Asif Anwar, Ruma Afsha Sultana, Manjunath S. R., Fardeen Khan

Author: Mohammad Tahir

Paper ID: V7I4-1713

Paper Status: published

Published: August 10, 2021

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