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A study to assess the effectiveness of structured teaching program on knowledge regarding revised immunization schedule among mothers of under-five age children in selected hospital at the selected city.

A study to assess the effectiveness of structured teaching programme on knowledge regarding revised immunization schedule among mothers of under five age children in selected hospital at selected city.”Objectives: To assess the existing knowledge of mothers regarding revised immunization schedule and to evaluate effectiveness of structured teaching programme on knowledge regarding revised immunization schedule. And To find out the association between pre-test knowledge score with selected demographic variables. Methodology: quantitative research approach was used with quasi experimental one group pre-test and post- test design. Population50 Mothers of under Five Age Children, Purposive Sampling Technique was used for data collection. Result: In the pre-test- 6 (12%) had inadequate knowledge, maximum 44 (88%) had moderately adequate knowledge and no one mothers of under five age children had adequate knowledge regarding revised immunization schedule. In post-test- maximum 47 (94%) Mothers of under-five age children were having adequate knowledge and no one mothers of under-five age children were having inadequate knowledge and remaining 3 (6%) Of mothers of under-five age children were having moderately adequate knowledge regarding revised immunization schedule.

Published by: Fulwanti Natwar Padvi, Sandhya Bhimrao Wagh

Author: Fulwanti Natwar Padvi

Paper ID: V7I4-1406

Paper Status: published

Published: July 20, 2021

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Research Paper

Remote administration of speed of an induction motor

Induction motors are widely used in many industries and domestic applications. They are used commonly in many open-loop control applications due to their cost, size, efficiency, less maintenance, simplicity and easy manufacture. In the past traditional speed control methods were used to control the speed of the DC motors, But DC motors have commutator and brushes which require more maintenance and are hazardous. So Induction motors are more preferred in these fields. Since most of the industries use Induction motors , controlling of it plays a major role. This project deals with controlling the speed of Induction Motor using Android phone remotely through Bluetooth Technology. We are using android application which uses Bluetooth to connect to the Bluetooth modem of the control circuit. Bluetooth modem is interfaced with the AVR Microcontroller. The Bluetooth slave receives the commands from the Android phone, then The Bluetooth module sends the signal to the Microcontroller. It decodes the signal and generates the pulse width signals which activates its circuit and gives the change in speed of induction motor with respect to the change in firing angle of TRAIC. This way speed can be easily varied and maintained as per the required values. We are not only controlling the speed of the induction motor, we can also detect the temperature and voltage of it which can be displayed on the android phone. Therefore, this project will be helpful in households, commercial use, industries etc

Published by: S. Bala Sai, G. Sharath Kumar, L. Sai Vivek, Baira Raviteja

Author: S. Bala Sai

Paper ID: V7I4-1448

Paper Status: published

Published: July 20, 2021

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Research Paper

Automatic classification of diabetic retinopathy using Convolution Neural Network

Diabetic eye disease is a complexity that affects people having diabetes for a longer time. By affecting the blood vessels it can cause blurry vision or even blindness to the patients. Thus, detecting eye disease at an early stage can help many diabetic patients to get the required treatment and intern increases the survival rate. In the proposed system, the CNN algorithm of machine learning is used to detect diabetic eye disease by using thermal images. These images are pre-processed by converting them from RGB to GRAY based on which the required features are extracted. To detect diabetic retinopathy, here the Convolutional Neural Network is used to classify 5 stages of the diseased eye.

Published by: Pooja Pimpalshende, Rahul Bhandekar

Author: Pooja Pimpalshende

Paper ID: V7I4-1445

Paper Status: published

Published: July 20, 2021

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Research Paper

Automatic solar tracking and cleaning system

Solar energy is the most abundant source of energy for all the forms of life on the planet Earth. But the solar technology has not developed to the extent of the conventional sources of energy. It faces lots of challenges such as high cost, erratic and unpredictable in nature, need for storage and low efficiency. This project aims at increasing the efficiency of solar panel which leads to increase in overall plant efficiency. This is the purposes to develop the “Solar Tracking and Cleaning System”. The Solar Tracking System is a power generating method from sunlight. This method of power generation is simple and is taken from natural resource. This needs only maximum sunlight to generate power. This project helps for power generation by setting the equipment to get maximum sunlight automatically. This system is tracking for maximum intensity of light. When there is decrease in intensity of light, this system automatically changes its direction to get maximum intensity of light. The cleaning system is using to remove the accumulated dust on its surface on a regular basis and maintain the solar panel output the system is robotic system which could have the nozzle from which the water is sprinkle on the panel and thus the panel get clean. This project also aims to reduce human involvement in the process of solar panel rotating and cleaning.

Published by: Rishikesh Sahebrao Dawange, Pavan Rajendra Shelar, Hemant Shamnath Khare, Vishal Kisan Deore

Author: Rishikesh Sahebrao Dawange

Paper ID: V7I4-1411

Paper Status: published

Published: July 19, 2021

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Research Paper

Cost-effective social distance maintenance in primary schools

During the СОVID-19 раndemiс, teсhnоlоgiсаl sоlutiоns аre сritiсаl keeр оur сities funсtiоnаl, аnd truly the lоng-lаsting imрасts оf engаging teсhnоlоgies оn urbаn аreаs mаy оссur beyоnd СОVID-19. This Reseаrсh Tорiс аims tо reseаrсh the sustаinаbility, tоlerаbility аnd reliаbility оf IоT sоlutiоns in resроnse tо the СОVID-19 раndemiс. In Indiа, mоst оf the eduсаtiоnаl institutiоns shut dоwn аt the beginning оf Mаrсh 2020. Сhildren аnd раrents hаd thоught thаt sсhооls wоuld орen uр аfter twо оr three mоnths. But аfter оne yeаr, the sсhооls remаin сlоsed. Аlsо, sоme sсhооls thаt did орen аre being рооrly аffeсted by the seсоnd wаve оf соvid sрreаd. Аn аutоmаtiс hаnd sаnitizer disрensing mасhine is аutоmаted, nоn-соntасt hаnd sаnitizer disрenser, whiсh finds its use in hоsрitаls, wоrk рlасes, оffiсes, sсhооls аnd fаr mоre. Sаnitizer is essentiаlly а sоlvent, аnd аlsо а reаlly gооd disinfeсtаnt in соmраrisоn tо sоар оr sоlid sоар, аlsо it dоesdon't need wаter tо sсrub оff sinсe it is vоlаtile аnd vароrizes instаntly аfter аррliсаtiоn tо hаnds. We аre аlsо inсluded sосiаl distаnсing in оur рrороsed system by using ultrаsоniс sensоr whiсh indiсаtes the distаnсe between the students аnd system sо thаt соntасtless envirоnment саn be сreаted in оrder tо аvоid sрreаding оf Соvid-19. The effeсtiveness оf the рrороsed аррrоасh in terms оf reliаbility, соst is meаsured аnd рresented in this рарer.

Published by: Joicy Castilino, Vandana C. P., Harshitha Sundarvelu, Helen Hephzibah, Simran Fathima

Author: Joicy Castilino

Paper ID: V7I4-1402

Paper Status: published

Published: July 19, 2021

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Research Paper

Study showing the relationship between online food delivery platforms and revenue earned by restaurants in Mumbai.

Online orders and doorstep delivery are one of the most significant developments in India in recent times. The customers are fortunate to select any food item of their choice from any of the listed restaurants at whatever time to any place. The main objective of this study is to collect information about online food platform and how it influences the revenue earned by restaurants in Mumbai. The data will be collected through the questionnaire distributed to 114 restaurants and 100 customers across Mumbai City who are using online food delivery platforms. Also, interviews will be conducted with the managers to know to analyze the cost and benefits of using an online delivery platform. Also, secondary sources of information like journals and research articles will be used for the purpose of the research. Data will be analyzed using SPSS Package, etc and the conclusion will be based on analyzed data.

Published by: Prachi Malgaonkar, Ayudha Raul

Author: Prachi Malgaonkar

Paper ID: V7I4-1433

Paper Status: published

Published: July 19, 2021

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