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)
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Paper Title: A COMPARATIVE STUDY OF SOCIAL INTELLIGENCE, EMOTIONAL INTELLIGENCE AND ADJUSTMENT AMONG COLLEGE STUDENT
Author Name(s): Shagun Bhardwaj, Dr Usha Sharma
Published Paper ID: - IJCRT2107493
Register Paper ID - 210232
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2107493 and DOI :
Author Country : Indian Author, India, 201308 , Noida, 201308 , | Research Area: Social Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2107493 Published Paper PDF: download.php?file=IJCRT2107493 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2107493.pdf
Title: A COMPARATIVE STUDY OF SOCIAL INTELLIGENCE, EMOTIONAL INTELLIGENCE AND ADJUSTMENT AMONG COLLEGE STUDENT
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 7 | Year: July 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Social Science All
Author type: Indian Author
Pubished in Volume: 9
Issue: 7
Pages: e605-e613
Year: July 2021
Downloads: 1331
E-ISSN Number: 2320-2882
Social intelligence, Emotional intelligence and adjustment play a very important role in present society especially for adolescents as adolescent period is defined as the transition period that includes a lot of physical, emotional and behavioral changes. The research aims at to examine comparison of Social Intelligence, Emotional Intelligence and Adjustment among college students. The total sample for the study comprised of 100 college going students. In which 50 students were Male and remaining 50 were Female as well 50 students were from engineering department and 50 were from Bachelors in arts (B.A) department. The educational status of the sample was undergraduate level and the age range of the sample was between 18-22 years from Delhi NCR. The findings indicated that there is a gender-based significant difference and no educational stream-based difference in emotional intelligence, as well as no gender and educational stream-based difference in social intelligence and overall adjustment. Based on findings there was no statistically significant interaction effect between gender and educational stream on the united dependent variables i.e., emotional intelligence, social intelligence and adjustment (F = 107, p =.956; Wilks' ? = .997)
Licence: creative commons attribution 4.0
Emotional intelligence, Social intelligence, Adjustment, Gender, Educational stream.
Paper Title: MARKETING CHANNEL ATTRIBUTION WITH MARKOV CHAINS IN PYTHON
Author Name(s): M. Annapurna, K. Leelavathi, M. Uma Maheswari, K. Hema, Mr. A. Maheswararao
Published Paper ID: - IJCRT2107492
Register Paper ID - 210235
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2107492 and DOI :
Author Country : Indian Author, India, 530007 , Visakhapatnam, 530007 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2107492 Published Paper PDF: download.php?file=IJCRT2107492 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2107492.pdf
Title: MARKETING CHANNEL ATTRIBUTION WITH MARKOV CHAINS IN PYTHON
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 7 | Year: July 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 7
Pages: e601-e604
Year: July 2021
Downloads: 1212
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
marketing strategies, marketing channel, digital platform, channel attribution model, Markov analysis, web analytics
Paper Title: LIVE MIGRATION MODELING AND REGRESSION ANALYSIS
Author Name(s): Kutcherla Hima Bhargavi, G.M.Padmaja, Kattamuri Sai Satya Sanjana, Nallala Anirudh, K.Kanaka sanjana
Published Paper ID: - IJCRT2107491
Register Paper ID - 210247
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2107491 and DOI :
Author Country : Indian Author, India, 530027 , Visakhapatnam, 530027 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2107491 Published Paper PDF: download.php?file=IJCRT2107491 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2107491.pdf
Title: LIVE MIGRATION MODELING AND REGRESSION ANALYSIS
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 7 | Year: July 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 7
Pages: e595-e600
Year: July 2021
Downloads: 1227
E-ISSN Number: 2320-2882
One of the most important innovations for improving utilization and maintenance of the virtual machine during the live migration process to increase the power efficiency of data is one the main task which contains the high risk. Several live migration algorithms have been proposed, each with its own set of characteristics in by using completion time and other characteristics features related to live migration machine, virtual machine (VM) downtime, and VM performance degradation. Choosing the best live migration strategy has been a challenge so far, even with service-level agreements and organizational constraints in place. We propose Regression based Machine learning model that can predict key characteristics of live migration with high accuracy, depending on the migration algorithm and workload running within the VM. In contrast to previous research, we are not only able to model all widely used migration algorithms, but also significant metrics that have not been considered previously, such as VM performance degradation.
Licence: creative commons attribution 4.0
Live migration, Regression Techniques, Virtualization, Performance metrics.
Paper Title: STUDY OF PUNCHING SHEAR IN FLAT SLAB SYSTEM SUBJECTED TO SEISMIC LOAD
Author Name(s): Anjali Suresh Naradwar, Asst. Prof. R. R. Alurwad
Published Paper ID: - IJCRT2107490
Register Paper ID - 210263
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2107490 and DOI :
Author Country : Indian Author, India, 431602 , NANDED, 431602 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2107490 Published Paper PDF: download.php?file=IJCRT2107490 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2107490.pdf
Title: STUDY OF PUNCHING SHEAR IN FLAT SLAB SYSTEM SUBJECTED TO SEISMIC LOAD
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 7 | Year: July 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 7
Pages: e583-e594
Year: July 2021
Downloads: 1342
E-ISSN Number: 2320-2882
Flat-slab structural systems have large applicability due to their functional and economic advantages. Flat plate slabs exhibit higher stress at the column connection and are most likely to fail due to punching shear rather than flexural failure. To avoid shear failure, realistic analytical or experimental studies must investigate parameters influencing the punching strength. Flat plates were subsequently developed, with no drops and no column capitals and due to the cheaper formwork required, they were popular for residential and office buildings. The computer program ETABS is used to model columns and slabs as frames respectively. The present analytical study investigates the influence of some of the parameters governing the behaviour of connections under punching shear: concrete strength, column aspect ratio, slab thickness, and gravity loading. Parametric studies on depth-to-span ratio & column aspect ratio have been carried out using equivalent static analysis to investigate the influence of these parameters on punching shear capacity of the column connections, which proved to be the governing criteria to prescribe drift limits for flat plate systems in seismic zones
Licence: creative commons attribution 4.0
Depth-to-span ratio, flat slab, punching shear, ETABS
Paper Title: FUZZY CONTROLLED SERIES ACTIVE POWER FILTER IN SINGLE PHASE SYSTEM FOR MITIGATION OF HARMONICSS
Author Name(s): KANCHAN GAJANAN KAVAR, ATUL KAUSAL
Published Paper ID: - IJCRT2107489
Register Paper ID - 210249
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2107489 and DOI :
Author Country : Indian Author, India, 444505 , Washim, 444505 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2107489 Published Paper PDF: download.php?file=IJCRT2107489 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2107489.pdf
Title: FUZZY CONTROLLED SERIES ACTIVE POWER FILTER IN SINGLE PHASE SYSTEM FOR MITIGATION OF HARMONICSS
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 7 | Year: July 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 7
Pages: e575-e582
Year: July 2021
Downloads: 1193
E-ISSN Number: 2320-2882
We devised a single phase series active power filter in this study to reduce harmonics in grids with non-linear loads and power electronic equipment. Active power filters (APFs) can compensate for power quality issues because they can dynamically vary their modes of operation in response to changes in load or in the power system. The series active power filter was designed specifically to address issues with the power system waveform and voltage amplitude among this solution. The series active power filter has not been widely used despite its ability to mitigate voltage sag, voltage swell, voltage harmonics, and voltage imbalance in three phase systems. The lack of interest in this equipment can be somewhat explained by the SeAPF conventional topology's limitations, as well as its high price. The regulated algorithm of a single phase SeAPF that is connected directly to the power grid without the usage of external power sources is discussed in this work. In the proposed configuration, the active power filter controller is further updated with a Fuzzy interface system with 49 rule basis, which would replace the old PI controller.
Licence: creative commons attribution 4.0
Single Phase Series Active Power Filter, Active Power Filter, Harmonics, Power Quality, Voltage Swell, Voltage Sags.
Paper Title: MACHINE LEARNING CLASSIFICATION AND DEEP LEARNING BASED CREDIT PREDICTION AND RISK ANALYSIS ON LOANS DATA.
Author Name(s): Ashutosh Kushwaha1, Aditya Kardile1, Mohd. Zaib Nawab, Dr. Vinod Wadne
Published Paper ID: - IJCRT2107488
Register Paper ID - 210237
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2107488 and DOI :
Author Country : Indian Author, India, 44107 , MURTIZAPUR, 44107 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2107488 Published Paper PDF: download.php?file=IJCRT2107488 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2107488.pdf
Title: MACHINE LEARNING CLASSIFICATION AND DEEP LEARNING BASED CREDIT PREDICTION AND RISK ANALYSIS ON LOANS DATA.
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 7 | Year: July 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 7
Pages: e571-e574
Year: July 2021
Downloads: 1201
E-ISSN Number: 2320-2882
The improvement within the banking sector several individuals area unit applying for bank loans however the bank has its restricted assets that it's to grant to restricted individuals solely, thus sorting out to whom the loan are often granted which can able to be a safer choice for the bank is a typical method. Thus during this paper we tend to try and cut back this risk issue behind choosing the safe person thus on save several bank efforts and assets. This can be done by mining the large knowledge of the previous records of the individuals to whom the loan was granted before and on the idea of those records experiences the machine was trained mistreatment the machine learning model that offers the foremost correct result. the most objective of this paper is to predict whether or not assignment the loan to an explicit person is going to be safe or not. This paper is split into four sections(i)Data assortment (ii) Comparison of machine learning models on collected knowledge (iii) coaching of the system on most promising model(iv) Testing.
Licence: creative commons attribution 4.0
Paper Title: PIN ORIENTED METRO TICKET
Author Name(s): T. Gopi Chand, S. Mahesh, S. Dayakar Reddy, S. Vidya
Published Paper ID: - IJCRT2107487
Register Paper ID - 210239
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2107487 and DOI :
Author Country : Indian Author, India, 521211 , Agiripalli, 521211 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2107487 Published Paper PDF: download.php?file=IJCRT2107487 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2107487.pdf
Title: PIN ORIENTED METRO TICKET
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 7 | Year: July 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 7
Pages: e563-e570
Year: July 2021
Downloads: 1225
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
Paper Title: A COMPREHENSIVE REVIEW ON RECENT ADVANCES IN PULMONARY DRUG DELIVERY SYSTEM
Author Name(s): Miss Shubhada. S. Chougule, Dr. Sachinkumar.V.patil
Published Paper ID: - IJCRT2107486
Register Paper ID - 210245
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2107486 and DOI :
Author Country : Indian Author, India, 591216 , Mankapur, 591216 , | Research Area: Pharmacy All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2107486 Published Paper PDF: download.php?file=IJCRT2107486 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2107486.pdf
Title: A COMPREHENSIVE REVIEW ON RECENT ADVANCES IN PULMONARY DRUG DELIVERY SYSTEM
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 7 | Year: July 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Pharmacy All
Author type: Indian Author
Pubished in Volume: 9
Issue: 7
Pages: e548-e562
Year: July 2021
Downloads: 1210
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
Dry powder inhaler, lung deposition, pulmonary route, targeted drug delivery, ,aerosols, lungs, Inhalation biopharmaceutics, lung disease
Paper Title: WEB BASED BOOK-RESELLING STORE
Author Name(s): Ganesh G B, Gautham C R, Nitish Kumar Gupta
Published Paper ID: - IJCRT2107485
Register Paper ID - 210233
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2107485 and DOI :
Author Country : Indian Author, India, 560062 , Bengaluru, 560062 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2107485 Published Paper PDF: download.php?file=IJCRT2107485 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2107485.pdf
Title: WEB BASED BOOK-RESELLING STORE
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 7 | Year: July 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 7
Pages: e544-e547
Year: July 2021
Downloads: 1243
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
second-hand, web-based, selling, purchasing, donating, delivery, searching, uploading, digital payments
Paper Title: STUDY OF FREQUENCY OFFSET IN SDR COMMUNICATION SYSTEM
Author Name(s): Dr.Ch.Vijay, D.Alekhya, B.Yellaji, K.Prameela, K.Upendra Surya Tej
Published Paper ID: - IJCRT2107484
Register Paper ID - 210288
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2107484 and DOI :
Author Country : Indian Author, India, 531162 , Visakhapatnam, 531162 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2107484 Published Paper PDF: download.php?file=IJCRT2107484 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2107484.pdf
Title: STUDY OF FREQUENCY OFFSET IN SDR COMMUNICATION SYSTEM
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 7 | Year: July 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 7
Pages: e537-e543
Year: July 2021
Downloads: 1295
E-ISSN Number: 2320-2882
Software Defined Radio (SDR) is sometimes radio has been the aim of many radio developments. The military and civilian radio applications digital radios are used instead of analog radios. SDR is also defined as "Radio in which some or all the physical layer functions are software defined". Software defined radio plays a major solution for the need for flexibility, upgradability, and the problems of implementing multiple radio standards alternatively and even running several services in parallel. BPSK and QPSK technique is used in carrier synchronization by software defined radio. The performance of the system is investigated by applying Binary Phase Shift Keying (BPSK) and Quadrature Phase Shift Keying (QPSK) modulation techniques and Frequency Offset (FO) is observed by using the constellation diagram. Fine frequency correction technique is used for the reduction of frequency offset and better performance.
Licence: creative commons attribution 4.0

