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Volume 10 | Issue 3 |

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  Paper Title: ROBOTIC PROCESS AUTOMATION: A CASE STUDY FOR EFFICIENT IMPLEMENTATION IN LEAN MANUFACTURING ENVIRONMENT

  Author Name(s): Dr. Bhaskar Seth, Dr. Priyanka Sisodiya

  Published Paper ID: - IJCRT2203111

  Register Paper ID - 216685

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2203111 and DOI :

  Author Country : Indian Author, India, 313001 , UDAIPUR, 313001 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2203111
Published Paper PDF: download.php?file=IJCRT2203111
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2203111.pdf

  Your Paper Publication Details:

  Title: ROBOTIC PROCESS AUTOMATION: A CASE STUDY FOR EFFICIENT IMPLEMENTATION IN LEAN MANUFACTURING ENVIRONMENT

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 3  | Year: March 2022

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

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 3

 Pages: a847-a855

 Year: March 2022

 Downloads: 639

  E-ISSN Number: 2320-2882

 Abstract

In upcoming future uses of robots are very much "operative" tasks in manufacturing industries. Robotic automation and their accessories will be used in the reduction of production throughput time, cycle time and line time to meet the production capacity. Automation will reduce the manpower and reduce the bottleneck of any test stage for the mass manufacturing. Different type of robotic automation and their application and uses. Some of the most significant future uses of robots may be to provide feasible means of providing services or exploiting resources handling dangerous radioactive wastes on a routine basis in a future disposal facility.


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 Keywords

Robotic, Automation, Manufacturing industries

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  Paper Title: WILD ANIMAL DETECTION IN AGRICULTURE FARMS USING DEEP CONVOLUTIONAL NEURAL NETWORK

  Author Name(s): FASEEHA M M, AMBILY JACOB

  Published Paper ID: - IJCRT2203110

  Register Paper ID - 216659

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2203110 and DOI :

  Author Country : Indian Author, India, 680670 , Thrissur, 680670 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2203110
Published Paper PDF: download.php?file=IJCRT2203110
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2203110.pdf

  Your Paper Publication Details:

  Title: WILD ANIMAL DETECTION IN AGRICULTURE FARMS USING DEEP CONVOLUTIONAL NEURAL NETWORK

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 3  | Year: March 2022

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

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 3

 Pages: a837-a846

 Year: March 2022

 Downloads: 855

  E-ISSN Number: 2320-2882

 Abstract


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 Keywords

Image Processing, Real-time Object, YOLOv3, Deep Convolutional Neural Network.

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  Paper Title: EVALUATION OF CHEMICAL PROFILE AND IN VITRO ANTIOXIDANT STUDY OF DIFFERENT PARTS OF ADHAHAPUSHPI (TRICHODESMA INDICUM LINN R.BR.)

  Author Name(s): Dr. Sarojini Byadigi, Dr. Subrahmanya Padyana

  Published Paper ID: - IJCRT2203109

  Register Paper ID - 216673

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2203109 and DOI :

  Author Country : Indian Author, India, 591102 , Bailhongal, 591102 , | Research Area: Humanities All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2203109
Published Paper PDF: download.php?file=IJCRT2203109
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2203109.pdf

  Your Paper Publication Details:

  Title: EVALUATION OF CHEMICAL PROFILE AND IN VITRO ANTIOXIDANT STUDY OF DIFFERENT PARTS OF ADHAHAPUSHPI (TRICHODESMA INDICUM LINN R.BR.)

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 3  | Year: March 2022

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

 Subject Area: Humanities All

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 3

 Pages: a827-a836

 Year: March 2022

 Downloads: 770

  E-ISSN Number: 2320-2882

 Abstract

Evidence suggests that the plants are considered a good source for chemoprevention and cancer therapy due to the high concentration and wide variety of antioxidants such as vitamin A, vitamin C, polyphenols, (?)?Epigallocatechin 3-gallate, flavonoids, polyphenols, gallic acid, glycosides, epicatechin, quercetin. Adhahapushpi(TrichodesmaindicumLinn.RB.)Belonging to Boraginaceae family is traditionally used as anticancer to treat breast cancer in Chattisagharha. It suggests its antioxidant content. The present study is conducted to evaluate antioxidant activity and chemical composition of different parts of Adhahapushpi (Trichodesma indicum Linn R.Br.). DPPH essay is widely used methodology to determine antioxidant capacity which measures the reducing ability of antioxidants toward the DPPH radical. Ethanol, Methanol and Water extracts of different parts of Adhahapushpi are tested for antioxidant activity using in vitro model- DPPH essay. Result showed that the total phenolic content(Gallic acid) ranged between 29.50 to 73.21 mg/gm extract and total flavanoid (Quercitin) ranged between 2.63 to 18.69 mg/gm extract. Inhibition rate in DPPH antioxidant essay ranged between 63.9 to 82.1%. From the study it is concluded that the different parts of Adhahapushpi(TrichodesmaindicumLinn.RBr).can be a good source of natural antioxidant.


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Adhahapushpi, Boraginaceae, , phenolics, flavanoids, gallic acid, quercitin, antioxidant activity DPPH essay.

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  Paper Title: HEART ATTACK PREDICTION USING MACHINE LEARNING

  Author Name(s): ALEENA PRAKASH, AMBILY JACOB

  Published Paper ID: - IJCRT2203108

  Register Paper ID - 216661

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2203108 and DOI :

  Author Country : Indian Author, India, 680545 , Thrissur, 680545 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2203108
Published Paper PDF: download.php?file=IJCRT2203108
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2203108.pdf

  Your Paper Publication Details:

  Title: HEART ATTACK PREDICTION USING MACHINE LEARNING

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 3  | Year: March 2022

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

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 3

 Pages: a821-a826

 Year: March 2022

 Downloads: 685

  E-ISSN Number: 2320-2882

 Abstract


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 Keywords

Random Forest classifier, Support Vector Machine, Heart attack prediction.

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  Paper Title: REVIEW ON DATA VISUALIZATION AND PREDICTION USING MACHINE LEARNING TECHNIQUES

  Author Name(s): Suraj Purushottam Gulhane, Dr. A. B. Raut

  Published Paper ID: - IJCRT2203107

  Register Paper ID - 216662

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2203107 and DOI :

  Author Country : Indian Author, India, 444709 , Dhamangaon Rly, 444709 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2203107
Published Paper PDF: download.php?file=IJCRT2203107
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2203107.pdf

  Your Paper Publication Details:

  Title: REVIEW ON DATA VISUALIZATION AND PREDICTION USING MACHINE LEARNING TECHNIQUES

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 3  | Year: March 2022

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

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 3

 Pages: a817-a820

 Year: March 2022

 Downloads: 647

  E-ISSN Number: 2320-2882

 Abstract

The paper is about optical character recognition with image processing and machine learning techniques. The machine learning technique is the core part of this model. Optical character recognition which reads each character through image. here in proposed system our application is designed to work on multiple application like for college, shops, hospitals, ect. by using the smart phone it need to capture real time image of name of place and then this application will extract text from image and predict the match data using different machine learning technique and search for information related to respected place and get entire details. Most of the people in our country love to travel, shopping, etc. and it is commonly seen that we don't have information about some places so it is difficult to ask any person about some place because of language barrier or may be any other problems. As the solution of this problem, we are developing an web application that will help user to get out details of any place such as college, shop, mall, hotel, restaurants, ctc.


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 Keywords

Optical Character Recognition, Machine Learning, Image Processing.

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  Paper Title: BHARAT SARKAR KE READ PRAPATAN KA VISHLESHAN

  Author Name(s): Dr. Alok Singh

  Published Paper ID: - IJCRT2203106

  Register Paper ID - 216672

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2203106 and DOI :

  Author Country : Indian Author, India, 211008 , Prayagraj (allahabad), 211008 , | Research Area: Commerce All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2203106
Published Paper PDF: download.php?file=IJCRT2203106
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2203106.pdf

  Your Paper Publication Details:

  Title: BHARAT SARKAR KE READ PRAPATAN KA VISHLESHAN

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 3  | Year: March 2022

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

 Subject Area: Commerce All

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 3

 Pages: a812-a816

 Year: March 2022

 Downloads: 650

  E-ISSN Number: 2320-2882

 Abstract

Yes


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  Paper Title: APPLICATIONS OF PRODRUG FOR TARGETED CANCER THERAPY

  Author Name(s): Mr. Shailesh Farkade, Ms. Priyanka Shelke, Dr. Gajanan Sanap, Mr. Aniket Bankar

  Published Paper ID: - IJCRT2203105

  Register Paper ID - 216669

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2203105 and DOI :

  Author Country : Indian Author, India, 431112 , Aurangabad, 431112 , | Research Area: Pharmacy All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2203105
Published Paper PDF: download.php?file=IJCRT2203105
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2203105.pdf

  Your Paper Publication Details:

  Title: APPLICATIONS OF PRODRUG FOR TARGETED CANCER THERAPY

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 3  | Year: March 2022

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

 Subject Area: Pharmacy All

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 3

 Pages: a803-a811

 Year: March 2022

 Downloads: 653

  E-ISSN Number: 2320-2882

 Abstract


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 Keywords

Cancer, Complementation, Conditional Biospecificity, Prodrugs, Targeted Therapy.

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  Paper Title: AN ECONOMIC ANALYSIS OF COMMERCIAL CROP FARMING: A CASE STUDY OF PRAKASAM DISTRICT

  Author Name(s): P. NAVEEN, Dr. A. BHARATHI DEVI

  Published Paper ID: - IJCRT2203104

  Register Paper ID - 215967

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2203104 and DOI :

  Author Country : Indian Author, India, 523001 , Ongole, 523001 , | Research Area: Social Science All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2203104
Published Paper PDF: download.php?file=IJCRT2203104
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2203104.pdf

  Your Paper Publication Details:

  Title: AN ECONOMIC ANALYSIS OF COMMERCIAL CROP FARMING: A CASE STUDY OF PRAKASAM DISTRICT

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 3  | Year: March 2022

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

 Subject Area: Social Science All

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 3

 Pages: a785-a802

 Year: March 2022

 Downloads: 760

  E-ISSN Number: 2320-2882

 Abstract

Prakasam is one of the major commercial growing districts. In Andhra Pradesh, Prakasam is the second largest producer of commercial crops and holds the same position in the case of fruits with introduction of improved production techniques. Commercial crops occupy a place of special signification in human nutrition. Andhra Pradesh is well known as a cereal producing state. Since the advent of Green Revolution, agriculture of Andhra Pradesh has slowly shifted from subsistence to commercialized one due to good yield and minimum support price. In Prakasam wheat-paddy rotation become most popular rotation which is the root cause of various problems related to the soil and environment. Recently emphasis has been placed on the diversification of Andhra Pradesh agriculture. Commercial crops farming are considered to be good replacement for wheatpaddy rotation. But in Andhra Pradesh farmers are less interested to grow commercial crops as these crops cannot provide assured returns to the farmers on the account of their perishable nature, forces of demand and supply, inefficient marketing system, inadequate storage facilities, processing etc. India produces a wide variety of commercial and has a major position in production among many countries. India is the second largest producer of commercial crops with annual production of 118.60 million tonnes. Area of commercial crops in India is 6.10 million hectares which is more than 11.80% of the total area of the World. India is rich in commercial crops and fruits production because of agro climatic variations, biodiversity, fertility of soil, and cultivable area. In India, commercial crops production has reached the peak of production level. On the other hand farmers can also take various steps to empower themselves through forming co-operative societies and developing organization skills to prevent their exploitation by the middlemen and commission agents.


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 Keywords

Farming, Climatic Variations, Middleman, Land holdings

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  Paper Title: MITIGATION OF POWER QUALITY PROBLEMS USING PV-UPQC IN A DISTRIBUTION SYSTEM

  Author Name(s): Pothumahanty sai jyothi

  Published Paper ID: - IJCRT2203103

  Register Paper ID - 216663

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2203103 and DOI :

  Author Country : Indian Author, India, 530040 , VISAKHAPATNAM, 530040 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2203103
Published Paper PDF: download.php?file=IJCRT2203103
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2203103.pdf

  Your Paper Publication Details:

  Title: MITIGATION OF POWER QUALITY PROBLEMS USING PV-UPQC IN A DISTRIBUTION SYSTEM

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 3  | Year: March 2022

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

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 3

 Pages: a777-a784

 Year: March 2022

 Downloads: 705

  E-ISSN Number: 2320-2882

 Abstract

Power quality issues such as current and voltage harmonics, voltage sag / swell has become major reasons for power failure and power quality degradation in current times. Renewable energy sources are now consuming most of the energy for a day. Power demand is also growing due to an abnormal growth of consumers of electrical energy. There are problems with power quality. As a result, in the installation of custom power devices is a major consideration for improving these power quality issues. This paper therefore, deals with the enhancement power quality problems by means of a Photo-Voltaic -Unified Power Quality Compensator (PV-UPQC) interface with the UPQC DC-link via a DC-DC step up converter. The PV array is interfaced with the UPQC DC-link by means of a DC-DC boost converter. Maximum power extracted from the PV array by means of MPP control is fed to boost the converter. The UPQC Shunt Voltage Source Converter compensates for issues with load power quality issues, such as current harmonics. Apart from this VSC shunt, it supplies the grid with effective active power from the SPV while retaining the DC voltage link at the preset voltage level. The VSC series compensates for issues with grid side voltage PQ such as voltage sag /swell and harmonics at different non-linear loads connected to the (PCC) load bus. The simulation and evaluation of PV-UPQC with various nonlinear load cases such as R-L load, personal computer, fluorescent lamp, television is performed in PSCAD under varying irradiation and grid voltage disturbances such as voltage sag / swell and load bus (PCC) harmonics was validated by IEEE std. 519-2014 and noted that the PCC's harmonics are within the limits.


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 Keywords

Power Quality, UPQC, harmonics, solar PV, MPPT, boost converter.

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  Paper Title: STOCK MARKET PREDICTION AND RECOMMENDATION SYSTEM

  Author Name(s): Khushboo Dattani, Ashutosh Shukla, Devansh Shah, Aarti Puthran

  Published Paper ID: - IJCRT2203102

  Register Paper ID - 215193

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2203102 and DOI :

  Author Country : Indian Author, India, 400067 , Mumbai, 400067 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2203102
Published Paper PDF: download.php?file=IJCRT2203102
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2203102.pdf

  Your Paper Publication Details:

  Title: STOCK MARKET PREDICTION AND RECOMMENDATION SYSTEM

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 3  | Year: March 2022

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

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 3

 Pages: a771-a776

 Year: March 2022

 Downloads: 791

  E-ISSN Number: 2320-2882

 Abstract

Since its inception, the Stock market has become a sophisticated way of investing money and a reliable source of income. Performance of stock relies on multiple factors which makes it very unpredictable and volatile. Hence, Prediction can play an important and helpful role here. Predicting markets can offer great profit avenues, and much research is going on for it. For prediction, most researchers use either technical analysis or fundamental analysis. Technical analysis can be referred to as prediction on the basis of previous stock prices while fundamental analysis can be referred to as analysing the unstructured textual data, example: news, tweets, etc. Today the world is digitalized, the market information is accessible to common people as well, this takes it to text mining strategies that would extract significant information to analyse market behaviour. In this project we will be using past prices of stock and news headlines together to predict the stock prices. The project will give recommendations on stock buy /sell on the basis of current news


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 Keywords

Prediction, Analysis

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ISSN: 2320-2882
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