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Research Paper

Viral vs Bacterial Pneumonia Image Classification using Transfer Learning

The Purpose of this Project is to Develop a Project to Detect Covid-19 Viral and Bacterial Pneumonia using Transfer Learning form Medical images. Covid 19 2nd wave is spreading Rapidly and more deadly than the first wave we need effective and accurate models to Detect Covid-19 using AI and the challenges are quite big we don’t have that big datasets so instead of building model from scratch we used prebuild CNN Model and Transfer Learning for accurate prediction on test Dataset. This one is just Binary Classification model which uses images Bacterial and viral pneumonia images for the training

Published by: Shekhar Gaikwad, Yogita Shinde, Arti Vadavale, Nilam Gaikwad, Sunil S. Khatal

Author: Shekhar Gaikwad

Paper ID: V7I3-1704

Paper Status: published

Published: June 7, 2021

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Research Paper

Voice based home automation

Automation is a trending topic in the 21st century making it play an important role in our daily lives.The main attraction of any automated system is reducing human labour,effort,time and errors due to human negligence.With the development of modem technology ,smart phones have become a necessity for every person on this planet.Applications are being developed on android systems that are useful to us in various ways.Another upcoming technology is natural language processing which enables us to command and control things with our voice.Combining all of these,our paper presents a micro controller based voice controlled home automation system using smart phones.Such a system will enable users to have control over every appliance in his/her home with their voice.All that the user needs is an android smartphone ,which is present in almost everybody's hand nowadays,and a control circuit.When the first computers came around,achieving the level of sophistication so as to narrate commands using voice to a machine was only realised in science fiction.However with tremendous breakthrough in the field,we are at the precipice of truly using voice to interface with devices.

Published by: Abhinayreddy, Niteesh Naidu, Satyanarayana, Vivek, Ch. K. Rupesh Kumar

Author: Abhinayreddy

Paper ID: V7I3-1702

Paper Status: published

Published: June 7, 2021

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Research Paper

Development of bricks using textile sludge

Now a days the bricks are commonly consumed as a construction material. The textile sludge we are making the experiment of it for construction brick purpose for solid waste management .so there are lack of clay in the earth, so we consumed textile sludge to subsititute the clay this will lower the uses of clay in production of bricks . we have compared the sludge like 5%,10%, 15%, 20%

Published by: Mayur Kumbhare, Krunal Ghatole

Author: Mayur Kumbhare

Paper ID: V7I3-1710

Paper Status: published

Published: June 7, 2021

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Research Paper

Helmet Safety using IoT

The most common prey of a road accident is a person who is having a two-wheeler vehicle and the persons who lost their lives in these accidents are the ones who don’t wear helmets. There are many laws made but the result is null and void. To lessen the number of death and to make an efficient system, we have come up with the idea that if you will not wear a helmet you are unable to start your vehicle.

Published by: Pushpak Goswami, Smit Ramteke, Rohish Zade, Fardeen Sheikh, Sumesh Chaure

Author: Pushpak Goswami

Paper ID: V7I3-1701

Paper Status: published

Published: June 7, 2021

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Research Paper

Alternate-storage hydroelectricity project & risk assessment with bot models in the Indian context- A report

Alternate-storage hydroelectricity is an arrangement to store water in addition to the main reservoir in the nearby catchment area of the dam. This is an arrangement wherein hydroelectric energy stored in the alternate reservoir can be used by an electric generator for load balancing during the peak summer season when the demand is high. The method stores energy in the form of the potential energy of water-induced with gravitational force, stored in an alternative reservoir in the close proximity of the main reservoir. During periods of high electrical demand, the stored water in the alternate reservoir is released into the main reservoir through an intake tunnel and released through turbines to produce electric power. The cost incurred in the construction of an alternative reservoir with a series of water-retaining structures in the form of a weir or dam can be collected by generating revenue from selling more electricity during periods of peak demand when electricity prices are highest and also demand is more throughout the project life cycle.

Published by: Arghadeep Dasgupta

Author: Arghadeep Dasgupta

Paper ID: V7I3-1683

Paper Status: published

Published: June 7, 2021

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Research Paper

MRI brain image segmentation using soft computing techniques

A brain tumor is an assortment, or mass, of strange cells in your cerebrum. MRI scan is usually used to help in analyzing brain tumors. Sometimes color might be infused through a vein in your arm during your MRI study. Any development inside a particularly limited space can cause issues. Brain tumors can cause cancerous or noncancerous in our cerebrum. Tumors are treatable whenever distinguished at the beginning phase. Generally, diagnosing or analyzing a brain tumor typically starts with magnetic resonance imaging (MRI). When MRI image shows that there is a tumor in the brain, the most widely recognized approach or method to decide the sort of cerebrum tumor is to take a gander at the outcomes from an example of tissue after a biopsy or medical procedure. X-rays make more nitty-gritty pictures than CT examines (see underneath) and are the favored method to analyze a brain tumor. The MRI image may be of the cerebrum, spinal line, contingent upon the kind of brain tumor suspected and the probability that it will spread in the CNS. In this project, our goal is to recognize the cerebrum tumor from the MRI pictures by utilizing Soft Computing. Picture Segmentation is done to remove important highlights and performing examination dependent on the division of pictures utilizing K methods bunching. Picture decrease is accomplished for quick handling of pictures utilizing the FCM method. The proposed framework can be generally utilized for the therapy of brain tumors utilizing clinical picture handling.

Published by: Dr. A. Lakshmi, Yemireddy Chandu Vardhan Reddy, Gangineni Vinay Kumar, V. V. Bhogachari

Author: Dr. A. Lakshmi

Paper ID: V7I3-1669

Paper Status: published

Published: June 5, 2021

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