ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 7.97 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
IJCRT Journal front page | IJCRT Journal Back Page |
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
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
Licence: creative commons attribution 4.0
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
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
Licence: creative commons attribution 4.0
Global warming, nuclear energy, sunlight, solar system, megatrend, mass to energy, carbon dioxide, petrochemical, greenhouse gas.
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
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 : 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.
Licence: creative commons attribution 4.0
Keywords: Teacher Education, Teacher Educators, Attitude, Four Year Integrated B.Ed. Programme.
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
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
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.
Licence: creative commons attribution 4.0
Semantic Segmentation, Convolutional Networks, Deep Learning.
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
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
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.
Licence: creative commons attribution 4.0
aritifical intelligence, tools,application
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
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
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.
Licence: creative commons attribution 4.0
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
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
Licence: creative commons attribution 4.0
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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
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
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.
Licence: creative commons attribution 4.0
cognition, game development, unity
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
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
Licence: creative commons attribution 4.0
Water balance, Runoff, Evapotranspiration, Infiltration, Water requirement
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
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
- 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.
Licence: creative commons attribution 4.0
machine learning, sentiment analysis, twitter API, Social Media Data, stock market prediction.