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  IJCRT Search Xplore - Search all paper by Paper Name , Author Name, and Title

Volume 9 | Issue 6 |

Volume 9 | Issue 6 | Month  
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  Paper Title: CEILING FAN WITH PERMANENT MAGNET GENERATOR

  Author Name(s): Pradeep Deepak Nandani, Rohit Nandkumar Sapkal, Shubham Satish Kadam, Vaibhav Amol Savale, Mahesh M. Kambale

  Published Paper ID: - IJCRT2106128

  Register Paper ID - 208361

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2106128 and DOI :

  Author Country : Indian Author, India, 416410 , Sangli, 416410 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106128
Published Paper PDF: download.php?file=IJCRT2106128
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106128.pdf

  Your Paper Publication Details:

  Title: CEILING FAN WITH PERMANENT MAGNET GENERATOR

 DOI (Digital Object Identifier) :

 Pubished in Volume: 9  | Issue: 6  | Year: June 2021

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 9

 Issue: 6

 Pages: b48-b51

 Year: June 2021

 Downloads: 1814

  E-ISSN Number: 2320-2882

 Abstract


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  Paper Title: CAN ENERGY INTO MASS CONVERSION THWART GLOBAL WARMING? AN OPINION

  Author Name(s): Dr Barun Bera

  Published Paper ID: - IJCRT2106127

  Register Paper ID - 208343

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2106127 and DOI : http://doi.one/10.1729/Journal.27619

  Author Country : Indian Author, India, 400059 , Mumbai, 400059 , | Research Area: Science All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106127
Published Paper PDF: download.php?file=IJCRT2106127
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106127.pdf

  Your Paper Publication Details:

  Title: CAN ENERGY INTO MASS CONVERSION THWART GLOBAL WARMING? AN OPINION

 DOI (Digital Object Identifier) : http://doi.one/10.1729/Journal.27619

 Pubished in Volume: 9  | Issue: 6  | Year: June 2021

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science All

 Author type: Indian Author

 Pubished in Volume: 9

 Issue: 6

 Pages: b46-b47

 Year: June 2021

 Downloads: 1192

  E-ISSN Number: 2320-2882

 Abstract


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 Keywords

Global warming, nuclear energy, sunlight, solar system, megatrend, mass to energy, carbon dioxide, petrochemical, greenhouse gas.

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  Paper Title: A STUDY ON ATTITUDES OF TEACHER EDUCATORS OF KALABURAGI EDUCATION DIVISION TOWARDS FOUR YEAR INTEGRATED B.ED. COURSE

  Author Name(s): Manjunath Patil, Dr. Venkatesh K.

  Published Paper ID: - IJCRT2106126

  Register Paper ID - 208394

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2106126 and DOI :

  Author Country : Indian Author, India, 584101 , Raichur, 584101 , | Research Area: Medical Science All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106126
Published Paper PDF: download.php?file=IJCRT2106126
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106126.pdf

  Your Paper Publication Details:

  Title: A STUDY ON ATTITUDES OF TEACHER EDUCATORS OF KALABURAGI EDUCATION DIVISION TOWARDS FOUR YEAR INTEGRATED B.ED. COURSE

 DOI (Digital Object Identifier) :

 Pubished in Volume: 9  | Issue: 6  | Year: June 2021

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Medical Science All

 Author type: Indian Author

 Pubished in Volume: 9

 Issue: 6

 Pages: b37-b45

 Year: June 2021

 Downloads: 1197

  E-ISSN Number: 2320-2882

 Abstract

Abstract : This study is to know the attitude of Teacher Educators who are prepare future teachers as their attitude can play a significant role in the character building and development of teachers in the future to whom they are going to teach and in the successful implementation of four years B.Ed. Programme. The investigator could not find any study about the attitude of Teacher Educators towards four years of integrated B.Ed. Programme. Hence, the present study is an attempt in this direction to investigate the attitude of teacher educators towards four years integrated B.Ed. Programme and teaching profession. The survey method was used for the present study. The researcher had constructed the five-point attitude scale to measure the attitude of Teacher Educators towards four years of integrated B.Ed. Programme. The Teacher Educators in Kalaburagi Education division comprised the population for the present study. Purposive sampling technique was employed to select the sample of 200 teacher educators covering Arts and Science streamlines from 100 TTI in Kalaburagi Education. The data were statistically analyzed and interpreted.


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Keywords: Teacher Education, Teacher Educators, Attitude, Four Year Integrated B.Ed. Programme.

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  Paper Title: REAL-TIME PERSON SEGMENTATION

  Author Name(s): Anish Mankotia, Mrs. Meenu Garg

  Published Paper ID: - IJCRT2106125

  Register Paper ID - 208359

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2106125 and DOI :

  Author Country : Indian Author, India, 110018 , New Delhi, 110018 , | Research Area: Science All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106125
Published Paper PDF: download.php?file=IJCRT2106125
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106125.pdf

  Your Paper Publication Details:

  Title: REAL-TIME PERSON SEGMENTATION

 DOI (Digital Object Identifier) :

 Pubished in Volume: 9  | Issue: 6  | Year: June 2021

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science All

 Author type: Indian Author

 Pubished in Volume: 9

 Issue: 6

 Pages: b30-b36

 Year: June 2021

 Downloads: 1190

  E-ISSN Number: 2320-2882

 Abstract

In this paper, we propose a novel semantic segmentation-based on the body pix module of the Tensor flow.js which can keep up with the accuracy of the state-of-the art approaches while running in real time. The solution follows the convolutional neural networks, each step in the workflow being enhanced by additional information from semantic segmentation. Therefore, we introduce several improvements to computation, aggregation, and optimization by adapting existing techniques to integrate additional surface information given by each semantic class. Using the body pix model which is trained using CNN, the ResNET50, this network can work with more than 150 layers, removing the problem of vanishing gradients. Using this network our body pix module, creates a more accurate and defined segmentation, and also supports multi-person segmentation.


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 Keywords

Semantic Segmentation, Convolutional Networks, Deep Learning.

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  Paper Title: ARTIFICIAL INTELLIGENCE: AN OVERVIEW

  Author Name(s): Sana fatima, Pankaj Prajapati

  Published Paper ID: - IJCRT2106124

  Register Paper ID - 208352

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2106124 and DOI :

  Author Country : Indian Author, India, 26301 , LUCKNOW, 26301 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106124
Published Paper PDF: download.php?file=IJCRT2106124
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106124.pdf

  Your Paper Publication Details:

  Title: ARTIFICIAL INTELLIGENCE: AN OVERVIEW

 DOI (Digital Object Identifier) :

 Pubished in Volume: 9  | Issue: 6  | Year: June 2021

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 9

 Issue: 6

 Pages: b23-b29

 Year: June 2021

 Downloads: 1237

  E-ISSN Number: 2320-2882

 Abstract

Tools of increasing sophistication have been developed to serve the human race over many centuries. Digital computers are, in many ways, just another tool. They are capable of performing the same numerical and symbolic manipulations as a normal person, but at a faster and more reliable rate. The purpose of this paper is to provide an overview of artificial intelligence. It provides a brief overview of artificial intelligence, its history, and future prospects.


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 Keywords

aritifical intelligence, tools,application

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  Paper Title: DIETARY ASSESSMENT AND INDIAN CUISINE ANALYSIS USING KNN AND EDA

  Author Name(s): PEARL AHUJA, DIKSHA SOLANKI, Dr. AMITA GOEL, Ms. Nidhi Sengar, Ms. Vasudha Bahl

  Published Paper ID: - IJCRT2106123

  Register Paper ID - 208326

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2106123 and DOI :

  Author Country : Indian Author, India, 110018 , Vikaspuri, 110018 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106123
Published Paper PDF: download.php?file=IJCRT2106123
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106123.pdf

  Your Paper Publication Details:

  Title: DIETARY ASSESSMENT AND INDIAN CUISINE ANALYSIS USING KNN AND EDA

 DOI (Digital Object Identifier) :

 Pubished in Volume: 9  | Issue: 6  | Year: June 2021

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 9

 Issue: 6

 Pages: b17-b22

 Year: June 2021

 Downloads: 1235

  E-ISSN Number: 2320-2882

 Abstract

Indian Cuisine consists of a variety of regional and traditional cuisines native to the Indian Subcontinent. Given the diversity in soil, climate, culture, ethnic groups, and occupations, these cuisines vary substantially and use locally available spices, herbs, vegetables, and fruits. Indian food is also heavily influenced by religion, cultural choices and traditions. The cuisine of India is one of the world's most diverse cuisines, characterized by its sophisticated and subtle use of the many spices, vegetables, grains and fruits grown across India. The cuisine of each geographical region includes a wide assortment of dishes and cooking techniques reflecting the varied demographics of the ethnically diverse Indian subcontinent. The project is based on exploratory data analysis on data set 'Indian Food 101'. The data set contains the information about famous Indian dishes. We plot some graphs to know the trends of food in different region and correlation between cooking time and food item, number of food items for each state veg-nonveg and recommendation of similar dishes using K-nearest neighbor.


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  Paper Title: Gramin Jivan evam kishan, Premchand our Ramdarsh misra ke sahitya

  Author Name(s): Dr. Chaudhari Rajendrakumar

  Published Paper ID: - IJCRT2106122

  Register Paper ID - 206969

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2106122 and DOI :

  Author Country : N, India, - , -, - , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106122
Published Paper PDF: download.php?file=IJCRT2106122
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106122.pdf

  Your Paper Publication Details:

  Title: GRAMIN JIVAN EVAM KISHAN, PREMCHAND OUR RAMDARSH MISRA KE SAHITYA

 DOI (Digital Object Identifier) :

 Pubished in Volume: 9  | Issue: 6  | Year: June 2021

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science and Technology

 Author type: N

 Pubished in Volume: 9

 Issue: 6

 Pages: b14-b16

 Year: June 2021

 Downloads: 1245

  E-ISSN Number: 2320-2882

 Abstract


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??????? ???? ??? ????? ???????? ?? ?????? ????? ?? ??????? ???

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  Paper Title: COGNITIVE GAME USING UNITY

  Author Name(s): K vinay Kumar, Cherala saiteja, M anjali

  Published Paper ID: - IJCRT2106121

  Register Paper ID - 208041

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2106121 and DOI :

  Author Country : Indian Author, India, 505001 , Hyderabad, 505001 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106121
Published Paper PDF: download.php?file=IJCRT2106121
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106121.pdf

  Your Paper Publication Details:

  Title: COGNITIVE GAME USING UNITY

 DOI (Digital Object Identifier) :

 Pubished in Volume: 9  | Issue: 6  | Year: June 2021

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 9

 Issue: 6

 Pages: b8-b13

 Year: June 2021

 Downloads: 1409

  E-ISSN Number: 2320-2882

 Abstract

Cognition refers to "the mental action or process of acquiring knowledge and understanding through thought, experience, and the senses". The paper aims at developing a Cognitive game using unity game engine to test whether it is a good choice for 2D game development.


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 Keywords

cognition, game development, unity

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  Paper Title: WATER BALANCE – A HYDRO MATHEMATICAL APPROACH TOWARDS WATER MANAGEMENT AT VILLAGE LEVEL

  Author Name(s): Prof. Gajanan Supe, Sanket Vilas Chaudhari, Sudarshan Rangnath Devshatwar, Sneha Shivanand Birajdar, Ashwini Bharat Chopade, Sushant Dilip Balgude

  Published Paper ID: - IJCRT2106120

  Register Paper ID - 208020

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2106120 and DOI :

  Author Country : Indian Author, India, 412101 , Ravet, Pune, 412101 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106120
Published Paper PDF: download.php?file=IJCRT2106120
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106120.pdf

  Your Paper Publication Details:

  Title: WATER BALANCE – A HYDRO MATHEMATICAL APPROACH TOWARDS WATER MANAGEMENT AT VILLAGE LEVEL

 DOI (Digital Object Identifier) :

 Pubished in Volume: 9  | Issue: 6  | Year: June 2021

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 9

 Issue: 6

 Pages: b4-b7

 Year: June 2021

 Downloads: 1284

  E-ISSN Number: 2320-2882

 Abstract


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 Keywords

Water balance, Runoff, Evapotranspiration, Infiltration, Water requirement

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  Paper Title: STOCK MARKET PREDICTION BASED ON SOCIAL SENTIMENTS USING MACHINE LEARNING

  Author Name(s): RUSHALI BHANUDAS PANSARE, SWAPNALI SATISH LAHANE, SHARDA DEVANAND SHINDE, NIKITA SAMPAT SHINDE, PRATIBHA KASHID

  Published Paper ID: - IJCRT2106119

  Register Paper ID - 208163

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2106119 and DOI :

  Author Country : Indian Author, India, 422102 , NASHIK, 422102 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106119
Published Paper PDF: download.php?file=IJCRT2106119
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106119.pdf

  Your Paper Publication Details:

  Title: STOCK MARKET PREDICTION BASED ON SOCIAL SENTIMENTS USING MACHINE LEARNING

 DOI (Digital Object Identifier) :

 Pubished in Volume: 9  | Issue: 6  | Year: June 2021

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 9

 Issue: 6

 Pages: b1-b3

 Year: June 2021

 Downloads: 1239

  E-ISSN Number: 2320-2882

 Abstract

- Machine learning and artificial intelligence techniques are being used to solve many real world problems. These techniques are highly effective, minimal effort and saving huge amount of time. Now people are invested in stock market or share market for yielding huge amount of money. Stock market is association of buyers and sellers. But in stock market, any time the stock value will grow or down according to the economic trends. So these changes could affect your share value and some times that decreases your profit. So stock market prediction is very necessary for avoiding this loss. We will propose a system that predicts the stock market value based on social sentiments using machine learning. We will collect the tweets from twitter API and Social media data to perform sentiment analysis and at same time collect data from Social media . Then find the correlation of historical data and extracted twitter data. This relational value used to determine the predicted outcome. This prediction system could greatly help stock investors in taking desired decision which could affect the profit of stock.


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 Keywords

machine learning, sentiment analysis, twitter API, Social Media Data, stock market prediction.

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ISSN: 2320-2882
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ISSN: 2320-2882
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