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: OPTIMIZATION OF CIRCULAR-GROOVED SQUARE CAVITY LABYRINTH SEAL AND CFD ANALYSIS BASED ON ANN MODELLING
Author Name(s): Chandresh Kumar Joshi, Dr. Sameer Vaidya
Published Paper ID: - IJCRTN020031
Register Paper ID - 219063
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRTN020031 and DOI :
Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRTN020031 Published Paper PDF: download.php?file=IJCRTN020031 Published Paper PDF: http://www.ijcrt.org/papers/IJCRTN020031.pdf
Title: OPTIMIZATION OF CIRCULAR-GROOVED SQUARE CAVITY LABYRINTH SEAL AND CFD ANALYSIS BASED ON ANN MODELLING
DOI (Digital Object Identifier) :
Pubished in Volume: 7 | Issue: 4 | Year: December 2019
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 7
Issue: 4
Pages: 280-294
Year: December 2019
Downloads: 256
E-ISSN Number: 2320-2882
Labyrinth seals are used to perform sealing around the rotating Parts of various mechanical machineries. Its work is to minimize escape of fluid essentially gases from high pressure area to low pressure area this is process by building of series of labyrinth teeth which are arranged to provide a close clearance gap between the stator and rotor components of the machine, this may cause a pressure drop occurs across each gap. The main aim of this study is to discuss the Optimization of Circular-Grooved Square Cavity Labyrinth Seal and CFD Analysis Based on ANN Modelling. The methodology for developing two semi-theoretical-semi-experimental formulae and linking them with the ANN technique for obtaining the optimal CSLS is described in this paper. It is concluded that the CFD analyses of the optimal seals confirmed the improvements caused by the cavity shape and captured performance parameter trends. The Pr values of 1.6 are found in the best circular-grooved square and triangular cavity labyrinth seals.
Licence: creative commons attribution 4.0
CFD, labyrinth seal, CSLS, ANN modelling, etc.
Paper Title: ECO-PHYSIOLOGICAL STUDIES ON THREE AQUATIC PLANT SPECIES OF PONNANI KOLELANDS
Author Name(s): Jyothi, P.V., Abdussalam, A.K.
Published Paper ID: - IJCRT1134888
Register Paper ID - 230354
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT1134888 and DOI :
Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT1134888 Published Paper PDF: download.php?file=IJCRT1134888 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT1134888.pdf
Title: ECO-PHYSIOLOGICAL STUDIES ON THREE AQUATIC PLANT SPECIES OF PONNANI KOLELANDS
DOI (Digital Object Identifier) :
Pubished in Volume: 7 | Issue: 4 | Year: November 2019
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 7
Issue: 4
Pages: 124-129
Year: November 2019
Downloads: 14
E-ISSN Number: 2320-2882
The Kole wetland, one of the largest, highly productive and one of the rice granaries of Kerala, has been declared in Ramsar convention for protection. Ponnani Kole, the study area, is situated in south-west of Malappuram and north-west of Thrissur districts, is the northern most extension of the Vembanad Kole Ramsar site. However, to the best of our knowledge, no solemn attempts were made to study the ecological impacts of these Kole wetlands especially emphasising biodiversity, physico chemical characters and human dependence. The present study is based on field survey and laboratory analysis of selected species. The study reveals the significant variation in stress physiology among plants grown in the area of high ecosystem diversity. It is also noticed, a massive destruction of the vegetation in the Koleland are very high due to natural and anthropogenic activities. Soil erosion also very high in Koleland and this leads to declination of vegetation as well. Study elucidated the physiological changes and related tolerance mechanism that occur in three plants according to the ecological variations during different seasons.
Licence: creative commons attribution 4.0
Ecophysiology, Macrophytes, Kolelands, Antioxidant, Metabolites
Paper Title: CONTRIBUTIONS OF QUEEN MOTHER SETHU PARVATHI BAI TO TRAVANCORE CULTURE
Author Name(s): Dr. S. PUSHPALATHA
Published Paper ID: - IJCRT1134871
Register Paper ID - 229585
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT1134871 and DOI :
Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT1134871 Published Paper PDF: download.php?file=IJCRT1134871 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT1134871.pdf
Title: CONTRIBUTIONS OF QUEEN MOTHER SETHU PARVATHI BAI TO TRAVANCORE CULTURE
DOI (Digital Object Identifier) :
Pubished in Volume: 7 | Issue: 4 | Year: October 2019
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 7
Issue: 4
Pages: 25-28
Year: October 2019
Downloads: 19
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
Princely State, Contribution, Culture, Preserving, Queen Mother
Paper Title: HEALTH CARE SYSTEM- WORKING TOWARDS A HEALTHIER INDIA
Author Name(s): DR NITIN SEHGAL
Published Paper ID: - IJCRT1134852
Register Paper ID - 229651
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT1134852 and DOI :
Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT1134852 Published Paper PDF: download.php?file=IJCRT1134852 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT1134852.pdf
Title: HEALTH CARE SYSTEM- WORKING TOWARDS A HEALTHIER INDIA
DOI (Digital Object Identifier) :
Pubished in Volume: 7 | Issue: 4 | Year: December 2019
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 7
Issue: 4
Pages: 889-902
Year: December 2019
Downloads: 20
E-ISSN Number: 2320-2882
Health is a defining concern in public policy discussions in every mature society, often mandating the deployment of enormous populations. Inequalities in health, access to health care, and the quality/cost of treatment contribute to a nation's economic well-being, given a current biological understanding of health and illness. Health insurance covers all clinical quality, not only medical treatment. There cannot be a sole emphasis on publicly financed health care but also on incentives and disincentives for self-care and treatment funded by private individuals to recover from sickness. In countries such as India, where private out-of-pocket expenditure dominates health care expenses, the resulting repercussions are sure to be regressive. At its core, the healthcare system is viewed as general welfare. Consequently, its demand and supply cannot be determined by the market's invisible hand. Vulnerable people should be prioritized, such as children, women, and the elderly. The disparity in health status among rural and urban regions and across states is well established. As one age, inequalities between urban and rural areas grow more prominent, with a five age gap becoming more evident. Apart from the battle for survival, rural villages are infamous for their lack of access to almost every community service. The prevalent practice of female feticide is expected to exacerbate the disparities among rural and urban children. This paper discusses the present Indian health system. The research will concentrate on the health system and its prospects, including its problems and concerns.
Licence: creative commons attribution 4.0
HEALTH CARE SYSTEM- WORKING TOWARDS A HEALTHIER INDIA
Paper Title: COMPARATIVE STUDY OF DIFFERENT MATHEMATICAL MODELS WITH REAL TIME PAN EVAPORATION
Author Name(s): P. N. Dalavi, P.A.Gawande, A.N.Mankar
Published Paper ID: - IJCRT1134773
Register Paper ID - 228016
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT1134773 and DOI : http://doi.one/10.1729/Journal.32824
Author Country : Indian Author, India, 444 004 , Keshavnagar, AKOLA, 444 004 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT1134773 Published Paper PDF: download.php?file=IJCRT1134773 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT1134773.pdf
Title: COMPARATIVE STUDY OF DIFFERENT MATHEMATICAL MODELS WITH REAL TIME PAN EVAPORATION
DOI (Digital Object Identifier) : http://doi.one/10.1729/Journal.32824
Pubished in Volume: 7 | Issue: 4 | Year: December 2019
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 7
Issue: 4
Pages: 395-400
Year: December 2019
Downloads: 38
E-ISSN Number: 2320-2882
The study was conducted to develop and evaluate different evaporation estimation models considering importance and difficulty in measurement of evaporation.Models were developed for predicting pan and pond evaporation on multiple linear regression, and energy balance method. For pan evaporation, model developed by energy balance method gave results with highest coefficient of determination (R2 = 0.9473), lowest root mean square error (1.1403 mmday-1) with closer association between estimated and observed evaporation. For pond evaporation the model developed by stepwise multiple linear regression analysis gave results with highest coefficient of determination (R2 = 0.9638), lowest root mean square error (0.7377 mmday-1) with closer association between estimated and observed evaporation.
Licence: creative commons attribution 4.0
Pan evaporation,Linear regression, Pond
Paper Title: A STUDY ON SCIENTOMETRIC ANALYSIS OF POST GRADUATE THESES OF VETERINARY COLLEGE AND RESEARCH INSTITUTE, NAMAKKAL, TAMILNADU, INDIA.
Author Name(s): M. Sithi Jagannara
Published Paper ID: - IJCRT1134733
Register Paper ID - 226767
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT1134733 and DOI :
Author Country : Indian Author, India, 608001 , CHIDAMBARAM, 608001 , | Research Area: Arts All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT1134733 Published Paper PDF: download.php?file=IJCRT1134733 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT1134733.pdf
Title: A STUDY ON SCIENTOMETRIC ANALYSIS OF POST GRADUATE THESES OF VETERINARY COLLEGE AND RESEARCH INSTITUTE, NAMAKKAL, TAMILNADU, INDIA.
DOI (Digital Object Identifier) :
Pubished in Volume: 7 | Issue: 4 | Year: December 2019
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Arts All
Author type: Indian Author
Pubished in Volume: 7
Issue: 4
Pages: 108-115
Year: December 2019
Downloads: 63
E-ISSN Number: 2320-2882
The present study thoroughly explored the research output of the Tamil Nadu Veterinary college and Research Institute Namakkal during 1995-2015. since its origin; the research design is based on secondary data using a range of bibliometric and scientometric tools, techniques and formula along with statistical techniques. The major objectives are framed with the exclusive notion of the present study such as (i) Analysis of Doctoral theses available at Library, Veterinary College and Research Institute, Namakkal.
Licence: creative commons attribution 4.0
Scientometric analysis, Post Graduate, Theses,Veterinary College and Research Institute
Paper Title: REQUIREMENTS AND RELIABILITY OF AI IN THE EXCRETORY SYSTEM
Author Name(s): Madanpal Singh
Published Paper ID: - IJCRT1134695
Register Paper ID - 225021
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT1134695 and DOI :
Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT1134695 Published Paper PDF: download.php?file=IJCRT1134695 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT1134695.pdf
Title: REQUIREMENTS AND RELIABILITY OF AI IN THE EXCRETORY SYSTEM
DOI (Digital Object Identifier) :
Pubished in Volume: 7 | Issue: 4 | Year: October 2019
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 7
Issue: 4
Pages: 863-871
Year: October 2019
Downloads: 102
E-ISSN Number: 2320-2882
Users have control over their health and well-being thanks to AI. AI also enhances the ability of healthcare professionals to recognize the recurring patterns and needs of the patients they look after, allowing them to provide better feedback, guidance, and support for preserving health. In this paper we understand hoe the reliability model works for AI techniques used in excretory problem in medical field. All are important; if AI techniques and equipment are used to cure excretory diseases then reliability model gives the reliability of those particular AI technique in particular excretory diseases.
Licence: creative commons attribution 4.0
artificial intelligence, machine learning, reliability, medical application, reliability models
Paper Title: KAMKAJI MAHILAO KE BALAK BALIKAO KE SVA PRATTYAY KA ADDHYAYAN
Author Name(s): Dr. Ashok Kumar
Published Paper ID: - IJCRT1134694
Register Paper ID - 225539
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT1134694 and DOI :
Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT1134694 Published Paper PDF: download.php?file=IJCRT1134694 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT1134694.pdf
Title: KAMKAJI MAHILAO KE BALAK BALIKAO KE SVA PRATTYAY KA ADDHYAYAN
DOI (Digital Object Identifier) :
Pubished in Volume: 7 | Issue: 4 | Year: October 2019
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 7
Issue: 4
Pages: 857-862
Year: October 2019
Downloads: 101
E-ISSN Number: 2320-2882
kamkaji mahilao ke balak balikao ke sva prattyay ka addhyayan
Licence: creative commons attribution 4.0
kamkaji mahilao ke balak balikao ke sva prattyay ka addhyayan
Paper Title: KARAVALI SAMSKRITI
Author Name(s): Karavali Samskriti, Manjunatha KS
Published Paper ID: - IJCRT1134676
Register Paper ID - 225125
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT1134676 and DOI :
Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT1134676 Published Paper PDF: download.php?file=IJCRT1134676 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT1134676.pdf
Title: KARAVALI SAMSKRITI
DOI (Digital Object Identifier) :
Pubished in Volume: 7 | Issue: 4 | Year: November 2019
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 7
Issue: 4
Pages: 619-625
Year: November 2019
Downloads: 86
E-ISSN Number: 2320-2882
Karavali Samskriti
Licence: creative commons attribution 4.0
Paper Title: A MACHINE LEARNING FRAMEWORK FOR PREDICTING DISPLACEMENTS DUE TO DEEP EXCAVATIONS AND TUNNELS
Author Name(s): Yeruva Ramana Reddy
Published Paper ID: - IJCRT1134638
Register Paper ID - 223681
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT1134638 and DOI :
Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT1134638 Published Paper PDF: download.php?file=IJCRT1134638 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT1134638.pdf
Title: A MACHINE LEARNING FRAMEWORK FOR PREDICTING DISPLACEMENTS DUE TO DEEP EXCAVATIONS AND TUNNELS
DOI (Digital Object Identifier) :
Pubished in Volume: 7 | Issue: 4 | Year: October 2019
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 7
Issue: 4
Pages: 366-369
Year: October 2019
Downloads: 134
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
Machine Learning, LS-SVM approach, Excavation and materials handling, Predicting Displacements, Deep excavations, Tunnels.