IJCRT Peer-Reviewed (Refereed) Journal as Per New UGC Rules.
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(CrossRef DOI)
| IJCRT Journal front page | IJCRT Journal Back Page |
Paper Title: HUMAN BODY AIR BUBBLE DETECTION USING I2C MULTIPLEXER PROTOCOL
Author Name(s): Charunya M V, Dr. C R Byra Reddy
Published Paper ID: - IJCRT2207450
Register Paper ID - 223585
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2207450 and DOI :
Author Country : Indian Author, India, 563125 , Chikkaballapur district, 563125 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2207450 Published Paper PDF: download.php?file=IJCRT2207450 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2207450.pdf
Title: HUMAN BODY AIR BUBBLE DETECTION USING I2C MULTIPLEXER PROTOCOL
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 7 | Year: July 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 7
Pages: d402-d405
Year: July 2022
Downloads: 490
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
32-bit controller, light-to-digital sensor, I2C Multiplexer
Paper Title: BHAGAVAD-GITA AND BUSINESS ETHICS
Author Name(s): Monika, Komal Sharma
Published Paper ID: - IJCRT2207449
Register Paper ID - 223549
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2207449 and DOI : http://doi.one/10.1729/Journal.31025
Author Country : Indian Author, India, 126116, 132114 , JIND, Karnel, 126116, 132114 , | Research Area: Commerce All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2207449 Published Paper PDF: download.php?file=IJCRT2207449 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2207449.pdf
Title: BHAGAVAD-GITA AND BUSINESS ETHICS
DOI (Digital Object Identifier) : http://doi.one/10.1729/Journal.31025
Pubished in Volume: 10 | Issue: 7 | Year: July 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Commerce All
Author type: Indian Author
Pubished in Volume: 10
Issue: 7
Pages: d395-d401
Year: July 2022
Downloads: 627
E-ISSN Number: 2320-2882
During the past few decades, we have witnessed an increase in application of ancient wisdom which are given in literatures in the context of business .Now a days, study of ancient wisdom has become a subject of growing interest. Moreover ancient literature of India is filled with lessons that are relevant and useful for day to day activities of business houses. Among all of them , lessons of The BHAGAVADGITA are most popular in the field of business due to their immense relevance in human life. This research attempts to incorporate the ethical principles found in the Bhagavad-Gita into businesses. The Gita advocates the spirit centred approach to the business ethics based on eternal values and moral principles that should govern the code of conduct of business houses.
Licence: creative commons attribution 4.0
Ethics, Business Ethics, Bhagavat Gita, Ethics Approach
Paper Title: APPLICATION BASED QR CODE SCAN FOR STUDENTS' ATTENDANCE SYSTEM USING IMAGE PROCESSING
Author Name(s): Preeti K Bhandi, D. A. Kulkarni
Published Paper ID: - IJCRT2207448
Register Paper ID - 223589
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2207448 and DOI :
Author Country : Indian Author, India, 582101 , Gadag, 582101 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2207448 Published Paper PDF: download.php?file=IJCRT2207448 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2207448.pdf
Title: APPLICATION BASED QR CODE SCAN FOR STUDENTS' ATTENDANCE SYSTEM USING IMAGE PROCESSING
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 7 | Year: July 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 7
Pages: d387-d394
Year: July 2022
Downloads: 748
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
Android application, QR code scan, attendance, universities, smartphones, digital data.
Paper Title: ROLE OF STOCK MARKET IN ECONOMIC DEVELOPMENT -LITERATURE REVIEW
Author Name(s): Varada Varma
Published Paper ID: - IJCRT2207447
Register Paper ID - 223251
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2207447 and DOI :
Author Country : Indian Author, India, 673007 , Kozhikode , 673007 , | Research Area: Commerce All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2207447 Published Paper PDF: download.php?file=IJCRT2207447 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2207447.pdf
Title: ROLE OF STOCK MARKET IN ECONOMIC DEVELOPMENT -LITERATURE REVIEW
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 7 | Year: July 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Commerce All
Author type: Indian Author
Pubished in Volume: 10
Issue: 7
Pages: d381-d386
Year: July 2022
Downloads: 602
E-ISSN Number: 2320-2882
Stock markets which function effectively fosters growth of the economy and development of the economy by promoting the channelization and mobilization of financial resources and by integrating those with the need of funds to bring up innovation and to achieve growth, with those who have resources to invest. This function of the stock market is being carried in a regulated environment ,along with secure and transparent trading platforms that also fosters transparent trade by securing the rights of investors and educating their employees to ensure good governance by providing all the information to the investors on timely basis. The NSDL and CDSL along with several depository participants play a major role to facilitate trade. However, despite playing a major role in the economy, the link between stock exchanges and the development of economy is not commonly understood and accepted. A prominent view in this regard is that when the stock markets develop it has a positive impact on the economy. The capital formation in an economy is the direct impact of efficiency in stock market and its development. Capital is required to produce goods and services and thereby leading to overall growth. Due to a predisposition that stock markets harm economic development due to the existence of volatility some theorists believe there is no link between stock markets and economic development. The objective of this study is to review literature and find whether there is a relationship between capital market development and economic development in Indian economy.
Licence: creative commons attribution 4.0
Paper Title: OBJECT IDENTIFICATION USING YOLO ALGORITHM
Author Name(s): Binny.S, Cina Mathew, Cini Joseph
Published Paper ID: - IJCRT2207446
Register Paper ID - 223044
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2207446 and DOI :
Author Country : Indian Author, India, 686104 , kottayam, 686104 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2207446 Published Paper PDF: download.php?file=IJCRT2207446 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2207446.pdf
Title: OBJECT IDENTIFICATION USING YOLO ALGORITHM
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 7 | Year: July 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 7
Pages: d377-d380
Year: July 2022
Downloads: 486
E-ISSN Number: 2320-2882
- The aim is to identify object using the You Only Look Once (YOLO) method. Comparing this method to other identification algorithms, reveals that it offers limited benefits. In algorithms like Convolutional Neural Network(CNN), Fast-Convolutional Neural Network(FCNN) the algorithm does not take the picture totally, but using YOLO algorithm it takes the picture totally. The YOLO algorithm does the detection by using the bounding boxes. In these cases, the class probabilities make it easier to differentiate the image better when compared to other algorithms.
Licence: creative commons attribution 4.0
CNN, YOLO, Bounding Boxes, FCNN
Paper Title: REAL TIME CRIME DETECTION BY CAPTIONING VIDEO SURVEILLANCE USING DEEP LEARNING
Author Name(s): Sapna Patwa, Nagesh Nayak, Shlesha Odhekar, Sukanya Roychowdhury
Published Paper ID: - IJCRT2207445
Register Paper ID - 217742
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2207445 and DOI :
Author Country : Indian Author, India, 401105 , Mumbai, 401105 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2207445 Published Paper PDF: download.php?file=IJCRT2207445 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2207445.pdf
Title: REAL TIME CRIME DETECTION BY CAPTIONING VIDEO SURVEILLANCE USING DEEP LEARNING
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 7 | Year: July 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 7
Pages: d367-d376
Year: July 2022
Downloads: 656
E-ISSN Number: 2320-2882
CCTVs are commonly used for surveillance almost everywhere in the world. Despite that, there are a large number of crimes happening due to the lack of a proper system to detect crimes or such types of behavior and control rates of illegal activities. Our project not only deals with detecting crimes from the video data received in real-time from CCTVs but also solves problems beyond this. Storing video data is a huge problem, and also it is less secure. Our application solves this problem by eliminating the need to store the videos themselves. Instead, a better solution is to store only the accurate captions of the events happening in the video along with the respective timestamp. Crimes are detected based on the captions generated by detecting certain crime-related keywords like a knife, thief, fire, assault, etc. we store these captions in text files along with the timestamp so we can even search for a particular event in the log. It is also more secure than storing CCTV captured videos as we will actually, be storing a text file and it can be encrypted using good encryption algorithms. Video, photos, and notifications of crime in real-time time is sent to a human supervisor to act in a responsible manner
Licence: creative commons attribution 4.0
Crime Detection, Video captioning, CCTV, Real time
Paper Title: USING MACHINE LEARNING CLASSIFICATION ALGORITHMS TO PREDICT COVID-19 DISEASE
Author Name(s): Yanamandra Pranati, C.V.Sindhu Lahari, S.Sanjana
Published Paper ID: - IJCRT2207444
Register Paper ID - 222533
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2207444 and DOI :
Author Country : Indian Author, India, 500047 , Hyderabad, 500047 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2207444 Published Paper PDF: download.php?file=IJCRT2207444 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2207444.pdf
Title: USING MACHINE LEARNING CLASSIFICATION ALGORITHMS TO PREDICT COVID-19 DISEASE
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 7 | Year: July 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 7
Pages: d359-d366
Year: July 2022
Downloads: 547
E-ISSN Number: 2320-2882
The project may be a demonstration of using Machine Learning Classification Algorithms to predict if an individual has the Covid-19 disease from the symptoms given. Machine Learning could be a novel technique which aids in disease prediction likewise as in diagnostics. Classification algorithms are utilized in machine learning. They use input training data to predict whether following data will fall under one among the established categories. Different classification algorithms are used here to work out their operation and therefore the accuracy that they present in accurately predicting the prognosis. In this project we are applying LR(Logistic Regression) to coach a model to predict the prognosis.
Licence: creative commons attribution 4.0
Classification Algorithms, Logistic Regression, Machine Learning, Covid-19.
Paper Title: BLOCK CHAIN BASED ACCESS CONTROL MECHANISM HEALTH CARE SYSTEM ON CLOUD
Author Name(s): Subramanya V. Odeyar, S.V.Saboji
Published Paper ID: - IJCRT2207443
Register Paper ID - 223558
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2207443 and DOI :
Author Country : Indian Author, India, 587102 , Bagalkot , 587102 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2207443 Published Paper PDF: download.php?file=IJCRT2207443 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2207443.pdf
Title: BLOCK CHAIN BASED ACCESS CONTROL MECHANISM HEALTH CARE SYSTEM ON CLOUD
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 7 | Year: July 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 7
Pages: d354-d358
Year: July 2022
Downloads: 470
E-ISSN Number: 2320-2882
With the help of the cloud, companies may share and use computer resources whenever they need them from anywhere in the globe, opening up new possibilities for data processing and services while also bringing down end users' computing and storage expenses. Access control, which is used by both enterprises and individuals to secure sensitive data, is one of the most crucial cloud security solutions. The centralized access control technique used by the cloud makes it simpler for hackers or within cloud administration to alter or leak crucial data.
Licence: creative commons attribution 4.0
Cloud, Blockchain, Access control frame work
Paper Title: WEB BASED APPLICATION FOR RECOGNITION OF DETERIORATION IN FRUITS BY MACHINE LEARNING
Author Name(s): Jagadeesh B N, Chandana S, Apoorva J P, Kalyan kumar I B, Girish J
Published Paper ID: - IJCRT2207442
Register Paper ID - 222859
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2207442 and DOI :
Author Country : Indian Author, India, 560091 , Bangalore, 560091 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2207442 Published Paper PDF: download.php?file=IJCRT2207442 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2207442.pdf
Title: WEB BASED APPLICATION FOR RECOGNITION OF DETERIORATION IN FRUITS BY MACHINE LEARNING
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 7 | Year: July 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 7
Pages: d349-d353
Year: July 2022
Downloads: 540
E-ISSN Number: 2320-2882
The project defines a fruit classification for identifying adulteration in fruits using shape and complexion. The motive of this experimentation is to find the adulterated fruits using machine learning approaches. Firstly, the various types of fruits are taken, both adulterated and unadulterated they are captured using webcam. Then appearance, pigmentation and texture are extracted from these images. Machine learning algorithm like CNN is used for classification. The highest classification accuracy is obtained from feature extraction.
Licence: creative commons attribution 4.0
Adulteration detection, CNN Algorithm, Image Acquisition, feature extraction, Image Segmentation.
Paper Title: BHARAT ME GARMIN VIKAS : GANDHIAY UPAGAM
Author Name(s): NEERAJ MEENA
Published Paper ID: - IJCRT2207441
Register Paper ID - 219703
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2207441 and DOI :
Author Country : Indian Author, India, 302002 , Jaipur, 302002 , | Research Area: Social Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2207441 Published Paper PDF: download.php?file=IJCRT2207441 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2207441.pdf
Title: BHARAT ME GARMIN VIKAS : GANDHIAY UPAGAM
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 7 | Year: July 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Social Science All
Author type: Indian Author
Pubished in Volume: 10
Issue: 7
Pages: d344-d348
Year: July 2022
Downloads: 2201
E-ISSN Number: 2320-2882
Abhi ke time me bhi rural development me Gandhi ke principles bahut relevant h
Licence: creative commons attribution 4.0
Gram swaraj , Vikendrikaran

