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Volume 10 | Issue 5 |

Volume 10 | Issue 5 | Month  
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  Paper Title: DEVELOPMENT OF MACHINE LEARNING MODELS FOR A RAPID BATTERY CHARGER SYSTEM

  Author Name(s): Ramandeep Kaur, Amar Singh, Shakti Kumar

  Published Paper ID: - IJCRT2205185

  Register Paper ID - 219499

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2205185 and DOI :

  Author Country : Indian Author, India, 144411 , Phagwara, 144411 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2205185
Published Paper PDF: download.php?file=IJCRT2205185
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2205185.pdf

  Your Paper Publication Details:

  Title: DEVELOPMENT OF MACHINE LEARNING MODELS FOR A RAPID BATTERY CHARGER SYSTEM

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 5  | Year: May 2022

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

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 5

 Pages: b681-b687

 Year: May 2022

 Downloads: 12

  E-ISSN Number: 2320-2882

 Abstract

Machine learning models are used to solve different nonlinear and complex problems. This paper presents three machine learning approaches to design and develop an intelligent rapid battery charger system. Our intelligent rapid battery system can decide the charging current using two inputs i.e. temperature and temperature gradient. For design purposes, we developed Artificial Neural Networks (ANN), K-Nearest Neighbor (KNN) and Multi-Regression based machine learning models for a rapid battery charger system. We trained all three machine learning models in python. For results, we observe that the performance of ANN outperforms KNN and multi-regression machine learning models.


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 Keywords

Machine Learning, ANN, KNN, Multi-Regression

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  Paper Title: A STUDY ON SOCIETY FOR WORLDWIDE FINANCIAL TELECOMMUICATION

  Author Name(s): S. MOHAN DAS, DR.A. PALANI

  Published Paper ID: - IJCRT2205184

  Register Paper ID - 219500

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2205184 and DOI :

  Author Country : Indian Author, India, 600119 , chennai, 600119 , | Research Area: Commerce and Management, MBA All Branch

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2205184
Published Paper PDF: download.php?file=IJCRT2205184
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2205184.pdf

  Your Paper Publication Details:

  Title: A STUDY ON SOCIETY FOR WORLDWIDE FINANCIAL TELECOMMUICATION

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 5  | Year: May 2022

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

 Subject Area: Commerce and Management, MBA All Branch

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 5

 Pages: b675-b680

 Year: May 2022

 Downloads: 7

  E-ISSN Number: 2320-2882

 Abstract

The book traces the history and development of a mutual organization in financial sector called SWIFT, the society for worldwide interbank financial Telecommunication. Over the last 40 years, SWIFT has served the financial the financial services sector as proprietary communication platform, provided of product and services, standards developer, and conference organizers. Founded to create efficiencies by replacing telegram and telex for international payments, SWIFT now forms a core part of the financial services infrastructure. It is widely regarded as the most secure trusted third-party network in the world serving 212 countries and 10,000 banking organization, securities institution and corporate customers. Through of every phases of its development, SWIFT has maintained the status of industry cooperative, thus presenting an opportunity to study broader themes of globalization.The book traces the history and development of a mutual organization in financial sector called SWIFT, the society for worldwide interbank financial Telecommunication. Over the last 40 years, SWIFT has served the financial the financial services sector as proprietary communication platform, provided of product and services, standards developer, and conference organizers. Founded to create efficiencies by replacing telegram and telex for international payments, SWIFT now forms a core part of the financial services infrastructure. It is widely regarded as the most secure trusted third-party network in the world serving 212 countries and 10,000 banking organization, securities institution and corporate customers. Through of every phases of its development, SWIFT has maintained the status of industry cooperative, thus presenting an opportunity to study broader themes of globalization.


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 Keywords

Research Methodology, Objectives

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  Paper Title: DESIGN OF CORONA SHAPE METAMATERIAL BASED ANTENNA FOR 5G APPLICATIONS

  Author Name(s): B.Vanniya, C.Mahendran

  Published Paper ID: - IJCRT2205183

  Register Paper ID - 219479

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2205183 and DOI :

  Author Country : Indian Author, India, 630002 , Karaikudi, 630002 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2205183
Published Paper PDF: download.php?file=IJCRT2205183
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2205183.pdf

  Your Paper Publication Details:

  Title: DESIGN OF CORONA SHAPE METAMATERIAL BASED ANTENNA FOR 5G APPLICATIONS

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 5  | Year: May 2022

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

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 5

 Pages: b669-b674

 Year: May 2022

 Downloads: 6

  E-ISSN Number: 2320-2882

 Abstract

In this paper a Corona shape metamaterial antenna consisting of rectangular Split Ring Resonator(SRR) is proposed. The Left Handedness of the unit cell is verified and investigated.The antenna is designed using HFSS software and it is etched on Rogers RT/Duroid 5880 substrate having a thickness of 1.6 mm and the overall dimension of the antenna is 10 x 10 x 1.6 mm3.The antenna achieves frequency band of 25.97 to 27.27 GHz with a return loss of -10 dB and voltage standing wave ratio of less than 2 with a maximum gain and directivity of 5.8dBi and 2.56dB respectively. The efficiency of the proposed antenna is 93.3% at the frequency of 26 GHz which is considerable higher. The proposed metamaterial antenna is better miniaturized, and have frequencies which mainly find applications in 5G applications.


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 Keywords

metamaterial, split ring resonator, HFSS software

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  Paper Title: FACE MASK DETECTION USING DEEP LEARNING

  Author Name(s): Dr. Murali G, Sammed Jain D P, Yeshaswini V, Ranjitha M, Rashmi D Happal.

  Published Paper ID: - IJCRT2205182

  Register Paper ID - 219477

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2205182 and DOI :

  Author Country : Indian Author, India, 560082 , Bangalore, 560082 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2205182
Published Paper PDF: download.php?file=IJCRT2205182
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2205182.pdf

  Your Paper Publication Details:

  Title: FACE MASK DETECTION USING DEEP LEARNING

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 5  | Year: May 2022

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

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 5

 Pages: b664-b668

 Year: May 2022

 Downloads: 7

  E-ISSN Number: 2320-2882

 Abstract

The recent COVID-19 virus outbreak has caused a global health crisis. According to the World Health Organization (WHO), one of the effective protection measures is to wear a face mask in public areas. The COVID-19 pandemic enforced the governments across the world to impose lockdowns to prevent virus transmission. Reports indicate that wearing facemasks at workplace clearly reduces the risk of virus transmission. Therefore, we built a face mask detector with computer vision using Python, OpenCV, Tensor Flow and Keras. In our proposed system we use live video streaming. We train the system to detect the faces of the registered people at a particular workplace. The main aim here is to identify whether a person on the live video stream is wearing a face mask or not. If it detects a person who is not wearing a mask, then it sends an alert message stating the same. This method attains an accuracy of up to 95.77%. We use the mobile net model to detect the presence of masks correctly without causing over-fitting.


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 Keywords

Face mask; Covid-19; deep learning; Keras; OpenCV.

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  Paper Title: Pragtisheel Kavi Kedarnath Agrawal ke Kavya me Prakriti ka Alamban evam Uddipan rupon me Chitra

  Author Name(s): Rakesh Kumar Verma, Dr. shaktidaan charan

  Published Paper ID: - IJCRT2205181

  Register Paper ID - 219485

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2205181 and DOI :

  Author Country : Indian Author, India, 125001 , Hisar, 125001 , | Research Area: Languages

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2205181
Published Paper PDF: download.php?file=IJCRT2205181
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2205181.pdf

  Your Paper Publication Details:

  Title: PRAGTISHEEL KAVI KEDARNATH AGRAWAL KE KAVYA ME PRAKRITI KA ALAMBAN EVAM UDDIPAN RUPON ME CHITRA

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 5  | Year: May 2022

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

 Subject Area: Languages

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 5

 Pages: b651-b663

 Year: May 2022

 Downloads: 9

  E-ISSN Number: 2320-2882

 Abstract


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  Paper Title: ASSESSMENT OF STROKE PATIENT PACK ON EARLY OUTCOME AMONG PATIENTS ADMITTED WITH STROKE IN A TEACHING HOSPITAL

  Author Name(s): Sunil S Badiger, MARIA PREETHI MATHEW, Dr. Sagar sinha

  Published Paper ID: - IJCRT2205180

  Register Paper ID - 219491

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2205180 and DOI :

  Author Country : Indian Author, India, 410209 , Navi Mumbai, 410209 , | Research Area: Humanities All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2205180
Published Paper PDF: download.php?file=IJCRT2205180
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2205180.pdf

  Your Paper Publication Details:

  Title: ASSESSMENT OF STROKE PATIENT PACK ON EARLY OUTCOME AMONG PATIENTS ADMITTED WITH STROKE IN A TEACHING HOSPITAL

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 5  | Year: May 2022

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

 Subject Area: Humanities All

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 5

 Pages: b645-b650

 Year: May 2022

 Downloads: 8

  E-ISSN Number: 2320-2882

 Abstract


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 Keywords

Stroke, NIHS Scale, Modified Rankin Score, Stroke assessment, neurological and physiological Parameters, stroke patient pack.

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  Paper Title: ONLINE PURCHASE BEHAVIOR OF CONSUMERS IN JAMMU

  Author Name(s): Shobhana Sharma

  Published Paper ID: - IJCRT2205179

  Register Paper ID - 219492

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2205179 and DOI : http://doi.one/10.1729/Journal.30157

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

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2205179
Published Paper PDF: download.php?file=IJCRT2205179
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2205179.pdf

  Your Paper Publication Details:

  Title: ONLINE PURCHASE BEHAVIOR OF CONSUMERS IN JAMMU

 DOI (Digital Object Identifier) : http://doi.one/10.1729/Journal.30157

 Pubished in Volume: 10  | Issue: 5  | Year: May 2022

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

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 5

 Pages: b633-b644

 Year: May 2022

 Downloads: 7

  E-ISSN Number: 2320-2882

 Abstract

Online shopping has become a trend in the present times. Over the years the e-commerce market has globally expanded and in India it has grown massively. Especially, sudden shutdown due to the pandemic has brought the physical market online. One can shop anything online and it delivers in the shortest time they can. Various websites given various offers and time slots according to the comfort of the consumer. It has also led the consumer to change its shopping patterns and consumers have changed its online shopping behavior over the time. The present study attempts to study the various factors that have led the consumers of Jammu to change their behavior towards online shopping. The paper consists of data collected from 116 respondents across Jammu city through closed ended structured questionnaires. The study is qualitative in nature. The study reveals that demographic factors like age, income, occupation, education plays an immense role in their online shopping behavior.


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 Keywords

Online shopping, consumer, behavior, satisfaction, buying behavior

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  Paper Title: Kavi Kedarnath Agrawal ke Kavya me Manvtavadi evam samtamoolak samaj sambandhi vaicharik chintan ki abhivyakti

  Author Name(s): Rakesh Kumar Verma, Dr. shaktidaan charan

  Published Paper ID: - IJCRT2205178

  Register Paper ID - 219486

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2205178 and DOI :

  Author Country : Indian Author, India, 125001 , Hisar, 125001 , | Research Area: Languages

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2205178
Published Paper PDF: download.php?file=IJCRT2205178
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  Your Paper Publication Details:

  Title: KAVI KEDARNATH AGRAWAL KE KAVYA ME MANVTAVADI EVAM SAMTAMOOLAK SAMAJ SAMBANDHI VAICHARIK CHINTAN KI ABHIVYAKTI

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 5  | Year: May 2022

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

 Subject Area: Languages

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 5

 Pages: b625-b632

 Year: May 2022

 Downloads: 8

  E-ISSN Number: 2320-2882

 Abstract


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  Paper Title: INDUCTION CHARGING FOR ELECTRICAL VEHICLE

  Author Name(s): VAGESH RAMANBHAI NAI, PATEL BHAVYA H, TIWARI VIVEK A, TAILOR VISHVA D, RANA ARJUN H

  Published Paper ID: - IJCRT2205177

  Register Paper ID - 219467

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2205177 and DOI :

  Author Country : Indian Author, India, 395004 , SURAT, 395004 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2205177
Published Paper PDF: download.php?file=IJCRT2205177
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2205177.pdf

  Your Paper Publication Details:

  Title: INDUCTION CHARGING FOR ELECTRICAL VEHICLE

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 5  | Year: May 2022

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

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 5

 Pages: b619-b624

 Year: May 2022

 Downloads: 4

  E-ISSN Number: 2320-2882

 Abstract

Wireless power transmission (WPT) is popular and gaining technology finding its application in various fields. The power is transferred from a source to an electrical load without the need of interconnections. WPT is useful to power electrical devices where physical wiring is not possible or inconvenient. The technology uses the principle of mutual inductance. One of the future applications finds in automotive sector especially in Electric Vehicles. This paper deals with research and development of wireless charging systems for Electric vehicles using wireless transmission. The main goal is to transmit power using resonance coupling and to build the charging systems. The systems deal with an AC source, transmission coil, reception coil, converter and electric load which are battery


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 Keywords

CHARGING ROAD , INDUCTION CHARGING FOR ELECTRICAL VEHICLE , PARKING CHARGING , WIRELESS CHARGING , CONTACT LESS CHARGING

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Creative Commons Attribution 4.0 and The Open Definition


  Paper Title: CONTEXTUAL AND OMNI CHANNEL SENTIMENTAL ANALYSIS

  Author Name(s): P.Karthikeyan, P.Aruneshwar, S.Deepak, R.Vignesh

  Published Paper ID: - IJCRT2205176

  Register Paper ID - 218267

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2205176 and DOI :

  Author Country : Indian Author, India, 605005 , Puducherry, 605005 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2205176
Published Paper PDF: download.php?file=IJCRT2205176
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2205176.pdf

  Your Paper Publication Details:

  Title: CONTEXTUAL AND OMNI CHANNEL SENTIMENTAL ANALYSIS

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 5  | Year: May 2022

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

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 5

 Pages: b614-b618

 Year: May 2022

 Downloads: 20

  E-ISSN Number: 2320-2882

 Abstract

The internet is one of the rapidly evolving areas that is transforming people's lifestyles. They frequently use the internet to communicate, discuss, and share information. As a result of these factors, the internet has become an integral aspect of human life. It contains information on a wide range of topics, including academic knowledge, product feedback or opinions, comments on social issues, and much more. It aids people in thinking and making decisions in a variety of situations. Before making a final decision, the majority of people seek advice from others. Sentimental analysis is one of the research areas in which data is acquired and evaluated in order to determine the sentiment of the data, such as negative or positive sentiment. This sentimental analysis, when applied to online-sold products, will benefit both customers and business entities, as buyers will be able to gain a sense of the product and business entities will be able to use the obtained data to improve the product. Existing sentimental analysis systems are unable to accurately classify sentences that contain negative polarity words but do not convey the same emotion, and these models ignore modern generation jargon like FOMO, TTYL, and others, which may provide contextual meaning and, if ignored, may cause a deviation in the actual sentiment conveyed by the sentence. To overcome the above-mentioned drawbacks, our system can analyse modern world jargon, and the actual context of the sentences is obtained through an algorithm that uses contextual analysis, diagram method, and ensemble feature selection, and the results can be used for data analysis and data visualization, which can then be used to improve the products.


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 Keywords

Sentimental Analysis, Contextual Analysis, polarity, ensemble feature selection, data visualization

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