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Research Paper

Roommate Finder

Accommodation in today’s world has been soaring at high rates. In addition, getting a shelter that matches one’s preference, budget, interest, and proximity is a challenge. This problem becomes, even more, bigger if the person looking for accommodation is a student. For students, factors like affordability, proximity to the university, a similar company, etc. matter the most. There are a number of websites and mobile apps that provide facilities for finding a suitable roommate and vacant apartment, but as of now, there is no such mobile app that helps to find roommates or apartments for a specific university. This application is aimed at trying to solve the major accommodation problem for university students. This application consists of a variety of features like sending messages, searching based on university name and address, potential match based on user’s preferences, and shortlisting. This application is developed using Android API for the front end and Spring MVC for creating Restful web service and Google Maps API for location-based services.

Published by: Sanchita Mehetre, Kirti Kamath, Shalakha Shere

Author: Sanchita Mehetre

Paper ID: V7I3-1720

Paper Status: published

Published: June 8, 2021

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Research Paper

Automation of UI design testing using Machine Learning

The buzz around SDLC and the ever-increasing need for testing each analytical component of a software component has incurred time losses in the entire cycle. The flaws in the design of any UI hurt the presentation and ease of access to users. Manually testing these entities might end up adding complexity, manual errors and unnecessary duration. Taking into consideration the dynamic elements of UI, this work presents a study on how the testing of these design elements can be carried out using different methods. It also addresses the technical challenges in the tasks carried out for the detection of objects and widgets in these dynamic interfaces. Motivated by machine learning concepts like Regions of Interests this work sheds light on the limitations and highlights of these methods.

Published by: Divya Gupta, Jagannath Aghav, Ashwini Chaudhari

Author: Divya Gupta

Paper ID: V7I3-1699

Paper Status: removed

Submitted: June 8, 2021

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Review Paper

Simple Borders Creating National Complexities

National borders are lines that separate one nation’s physical area from another nation. These borders usually help out in distinct identification of the nation’s location and prevent misunderstanding of the ownership of a piece of land or a distinct location. Most of the times, the airspace, land borders and coastlines are exploited by neighbours to create new crisis for capturing national boundaries. The extreme terrains present in the Indo Pakistan and Indo Bangladesh borders are dense sites of illegal activities like smuggling and, illegal drugs, weapons and human trafficking. The borders shared by India with Pakistan and Myanmar are hotspots of terrorism and cross border attacks for land capturing. The Indo Bangladesh borders has areas of high political sensitivity as there are many misunderstandings and problems related to ownership of a particular area. This paper discusses about the Indian border issues and existing solutions to solve these complexities and future solutions to resolve these issues.

Published by: M. D. Sabarinath

Author: M. D. Sabarinath

Paper ID: V7I3-1698

Paper Status: published

Published: June 8, 2021

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Research Paper

Costing and Rate Analysis of GFRG And Conventional Structure

This research paper is about costing and rate analysis of GFRG structure and conventional structure. Being an engineer is our first priority calling for solutions that work for our customers. Increasingly prices, housing is affordable at current rates technology which is why we needed to explore other types of construction plans to reduce construction costs. This paper an effort made to give an idea of how we can do that reducing construction costs and reducing construction time uses pre-design technology. GFRG construction technology also known as Rapid wall construction technology in India. Glass reinforced with gypsum panels, as they are ready-made gypsum building panels have empty holes. This is Rapid wall employed in residential and commercial buildings-built institutions. GFRG walls can be used as part of the structure such as walls and slabs, without outer columns and beams are required.

Published by: Snehal Ashok Salvi, Janhavi Deshpande, Vishal Jadhav, Nandini Pate, Vaishali Kamade, Aniruddha Chavan

Author: Snehal Ashok Salvi

Paper ID: V7I3-1725

Paper Status: published

Published: June 8, 2021

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Research Paper

64-bit Vedic multiplier with modified architecture and improved performance using Verilog

Vedic Maths is the ancient system of Indian mathematics. It has been extracted from 16sutras. Out of these 16 sutras, only one of these sutras named Urdhva Tiryagbhyam is used in this project. Urdhva is meant for Vertical and Tiryagbhyam is meant for the Crosswise multiplication process. This project is about designing of 8-, 16-, 32-, 64-bit Vedic multiplier with modified architecture and improved performance in comparison with a recent journal on 32-bit Vedic multiplier. And also 64-bit Vedic multiplier according to the reference journal is designed. The design of the proposed 64-bit Vedic multiplier consists of three stages, the first stage consists of four 32-bit Vedic multipliers, second stage has 96-bitcarry save adder and 95-bit modified carry skip adder in which internal stages consists of 8-bit and 16-bit Sklansky adders. and this design is implemented in XilinxISE14.7 and obtained a delay of 19.707ns, number of Slice LUT’s of 6989, power consumption of 111mW. The selected device in Xilinx14.7ISE is xc7k70t-3fbg484 from the Kintex-7 family. And also the reference design(64-bit Vedic multiplier) is calibrated using XilinxISE14.7 with the same device and obtained a delay of 36.630ns, number of Slice LUT’s of 8113, power consumption of 115mW.

Published by: Madhabhatthula Prem Kumar, Shiva Nand Singh

Author: Madhabhatthula Prem Kumar

Paper ID: V7I3-1707

Paper Status: published

Published: June 8, 2021

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Others

Detection and identification of high-quality cereals

Agricultural product grading is helpful in assessing the quality of a product and classifying it into categories. Presently, the grade analysis procedures involve the manual analysis of grains which is highly subjective and is influenced by human factors and the working environment. Thus, determining the quality of grains is a big challenge. In this paper, we have proposed a system that determines the quality of grains using image processing techniques. A variety of approaches were utilized to automate the screening process through machine vision approaches. Initially, the grain samples run on the conveyor belt, and then random images of grains are captured by the camera. The image processing algorithm is applied to the grain samples through MATLAB. Quality analysis of rice grains is determined by morphological features of rice grains. Various standards and procedures are then used to determine grades for the sample under test. The process of grading helps farmers to get the value for their produce, particularly rice, depending upon the results of quality inspections. Deep learning and machine learning models involving image processing has been tried in this paper to observe the computational accuracy

Published by: Aiswarya K.

Author: Aiswarya K.

Paper ID: V7I3-1694

Paper Status: published

Published: June 7, 2021

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