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Research Paper

Local Navigation Application

This paper is aimed towards providing an easy access to locations around the college area especially useful to students moving to the city from elsewhere. Taking into consideration, the wide- spread use of cell-phones the project has been designed in the form of an application. The application created is designed with taking into consideration the immediate needs of the students. The application works in co-ordination with Google Maps and provides location access. The application also provides useful information regarding the locations. This paper provides the summary of the process of creation of this project.

Published by: Ayush Sudhakar Kohade, Neeraja Ravindra Khire, Khushi Ajay Bhartiya, Akshay Khubchandani, Pavankumar Bharat Khot

Author: Ayush Sudhakar Kohade

Paper ID: V7I3-2074

Paper Status: published

Published: June 25, 2021

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Research Paper

The Data mining technique in the prediction of diabetic retinopathy for community

The retinal malfunctioning caused during diabetes is popularly known as Diabetes retinopathy (DR) which is a severe disease of the retina and is emerging as a threat cause of less sightedness in the world. Eye using optical coherence tomography (OCT), and photographs of the fundus and for appraise of the thickness and the structure of the retina, furthermore for the discernment of edema, bleeding, and scarring. Deep learning models are particularly used for the analysis of OCT images, or fundus images, extraction of features that are unique to each period of study. and, in ramification, the classification of the images, and the stage of the disease. During this work, it is deep the neural network (CNN), with 24 convolutional layers and 4 fully-connected layers for the analysis of fundus images, and to distinguish between the control, moderate degree (i.e., a coalescence of mild and moderate Non-proliferative (D (NPDR) and severe degree (i.e., a group of severe NPDR, and keeps the DR (PDR)) the validation of the precision and accuracy of 88% -89%, a sensitivity of 87% -89%, and a specificity of 94% to 95% and the quadratic weighted Kappa scores of 0.91–0.92, with a 5-fold and 10-fold cross-validation methods, respectively. The last preprocessing phase has been carried out for both the class-specific image size and the data on the growth rate were to be applied. The proposed approach is significantly more accurate in the objective diagnosis and classification of diabetic retinopathy, which eliminates the need for retinal imaging and extends access to the retina, or treatment. This technology allows for early diagnosis, as well as the purpose of the monitoring of the progression of the disease, which may help in the optimization of medical therapy in order to denigrate the loss of visual function.

Published by: Manas Sanju Bhole

Author: Manas Sanju Bhole

Paper ID: V7I3-2119

Paper Status: published

Published: June 25, 2021

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Research Paper

Student advisory system

The student advisory system aims at analyzing the student educational data and acts as an advisory system to undergraduate students who are confused about which career path to choose . It provides them with multiple options based on their characteristics and helps them make the career decision wisely.

Published by: Sinchanaraj H. N., Disha O. V., Nihaal N., Keerthi D. C., Dr. G. Madhusudhan

Author: Sinchanaraj H. N.

Paper ID: V7I3-2125

Paper Status: published

Published: June 25, 2021

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Research Paper

Smart trash picking vehicle for waste management

This project aims to design an Automatic trash picking vehicle and is done without human intervention. Garbage collection and management is a large issue undergoing extensive research, and solutions are being proposed accurately. Thanks to an exponential rise in population, there is an increased production of waste, and also a significant amount of litter consisting of plastic, medical waste, paper, and other waste materials are thrown out and dispersed in public. Thus, the need for a most effective waste management strategy is essential. In this project an automated system is provided for segregating types of wastes as biodegradable, non-biodegradable, and metallic wastes. The project is built in such a way that, when it is started it will move on the path defined in the program. When it encounters the obstacle, depending on the conditions applied in the program the robot proceeds with further motion and then robot picks up the garbage. Once it senses the color of trash using color sensor, these sensed values are given to the Arduino UNO, and thus based on the inputs from the controller the system will operate and through the operation of various drivers used it will pick up the trash with robotic arm and thus segregation of wastes into Bio-degradable, Nonbiodegradable can be done by dropping waste into the respective bins. Once the bin gets filled the user will get notified.

Published by: A. Mounika, V. Gayathri, Amal Xavier, G. Kullai Reddy, A. Archana

Author: A. Mounika

Paper ID: V7I3-2124

Paper Status: published

Published: June 25, 2021

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Research Paper

Four-wheel steering mechanism

Nowadays most of the vehicle using two-wheel steering mechanism as the main handling system. But the efficiency of the two wheels steering vehicle is proven to be low as compared to the four-wheel steering vehicle Four-wheel steering can be adopted to increase the steering response, increase vehicle stability at a certain speed to decrease the turning radius. If a car could automatically compensate for an understeer/oversteer problem, the driver would enjoy nearly neutral steering under varying operating conditions. Four-wheel is a serious effort on the part of automotive design engineers to provide near-neutral steering. Also in situations like low-speed cornering, vehicle paring, and driving in city conditions with heavy traffic in tight spaces, driving would be very difficult due to the vehicle’s large wheelbase and track width. Hence there is a requirement of the mechanism which results in less turning radius and it can be achieved by implementing four-wheel mechanisms. Instead of regular two-wheel steering.

Published by: Virendrakumar Hubalal Patel, Nikhil Banne, Yash Patil, Abhijit Mandal

Author: Virendrakumar Hubalal Patel

Paper ID: V7I3-2004

Paper Status: published

Published: June 25, 2021

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Review Paper

High-speed download cost-effective version control compression on cloud

Traditional techniques for image retrieval are not supported for the ever-expansive image database. These downsides can be removed by utilizing contents of the image for image retrieval. This sort of image retrieval can be accomplished with the help of cross batch redundancy detection (CBRD). When the cross batch redundancy detection (CBRD) is combinedly work with Bandwidth Energy Efficient sharing (BEES) has very precise result other than any commonly known feature detector or traditional method that are usually utilized in vision programming. In this paper we mainly focus in texture, colour ,shape and resolution of an image matching with superior accuracy and we also review some of the futuristic tool developed on CBRD

Published by: Hari Krishnan M., Jayaraman N., Mahendran P., Dr. N. Kanya

Author: Hari Krishnan M.

Paper ID: V7I3-2117

Paper Status: published

Published: June 25, 2021

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