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: LOW POWER DYNAMIC RAM BASED SAR ADC FOR BIOMEDICAL APPLICATIONS
Author Name(s): Bandi Madhukar, Ellendula Premchand, Vattipally Sachin, A.Theja
Published Paper ID: - IJCRT22A6203
Register Paper ID - 221379
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT22A6203 and DOI :
Author Country : Indian Author, India, 500097 , Meerpet, 500097 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT22A6203 Published Paper PDF: download.php?file=IJCRT22A6203 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT22A6203.pdf
Title: LOW POWER DYNAMIC RAM BASED SAR ADC FOR BIOMEDICAL APPLICATIONS
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 6 | Year: June 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 6
Pages: b573-b580
Year: June 2022
Downloads: 516
E-ISSN Number: 2320-2882
Analog-to-digital coverters (ADCs) are used for digital signal processing in biomedical wearable devices,in implantable medical devices such as pacemakers,sensor interfaces such as in temperature and image sensors, and in the Internet of Things ( IOT ) applications . Several works have aimed to reduce the power consumption as the previously mentioned applications require low power for long term operations where the primary source of power is usually batteries. This introduces a new successive approximation register circuit ( SAR ) for SAR analog to digital converter (ADC) based on Dynamic Random Access Memory (DRAM) cells. Based on the proposed DRAM based SAR ADC and a differential capacitive DAC, a 10-bit ADC is designed in 0.18um CMOS technology.
Licence: creative commons attribution 4.0
Biomedical applications,Successive Approximation Register, Dynamic ram(DRAM)
Paper Title: SKIN DISEASE OBSERVATION USING ML
Author Name(s): PSL SRAVANI, MONALISA PANI, LSA VAISHNAVI, KSP BHAVESH, K.SAI HITESH VARMA
Published Paper ID: - IJCRT22A6202
Register Paper ID - 221242
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT22A6202 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=IJCRT22A6202 Published Paper PDF: download.php?file=IJCRT22A6202 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT22A6202.pdf
Title: SKIN DISEASE OBSERVATION USING ML
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 6 | Year: June 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 6
Pages: b566-b572
Year: June 2022
Downloads: 531
E-ISSN Number: 2320-2882
Dermis problems are dangerous and often contagious, especially melanoma, eczema, and impetigo. These skin diseases can be cured if detected early. The basic problem with it, only a dermatologist can diagnose such a disease. At times, doctors also fail miserably to properly diagnose the disease and thus give the wrong medication to the patient. Our paper proposes a way to diagnose skin disease based on Image Processing and Deep Learning Strategies. Our system is based on mobile phones so it can be used even in remote areas. I the patient needs to provide a picture of the infected area and is provided as an input application. Graphic Processing and In-depth Learning Strategies process us and bring us the most accurate output. In this paper, we present a comparison of two different real-time skin diseases to find an algorithm based on accuracy. We compared the Navies Bias Classifier. Results for real-time testing is introduced.
Licence: creative commons attribution 4.0
Skin disease, feature extraction, pre-processing, HOG, machine learning algorithms.
Paper Title: ADVANCED SUBSTATION MONITORING AND CONTROLLING SYSTEM
Author Name(s): Keshaveni .akarsh, Narugula Sai Venus, Ajay Tagilepally, Thalla prashanth, GiriBabu Katta
Published Paper ID: - IJCRT22A6201
Register Paper ID - 221288
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT22A6201 and DOI :
Author Country : Indian Author, India, 500075 , Hyderabad, 500075 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT22A6201 Published Paper PDF: download.php?file=IJCRT22A6201 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT22A6201.pdf
Title: ADVANCED SUBSTATION MONITORING AND CONTROLLING SYSTEM
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 6 | Year: June 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 6
Pages: b557-b565
Year: June 2022
Downloads: 554
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
Ardino,Relay,Temperature current,Sensor,Lcd display
Paper Title: A STUDY TO ASSESS THE EFFECTIVENESS OF ANULOM VILOM IN REDUCTION OF STRESS AMONG SENIOR CITIZENS IN SELECTED AREA OF JHALAWAR DISTRICT RAJASTHAN
Author Name(s): Mr.Mahavir Prasad Goswami Ph.D Scholar, Dr. Sheela Reddy
Published Paper ID: - IJCRT22A6200
Register Paper ID - 221343
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT22A6200 and DOI :
Author Country : Indian Author, India, 326021 , jhalawar , 326021 , | Research Area: Health Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT22A6200 Published Paper PDF: download.php?file=IJCRT22A6200 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT22A6200.pdf
Title: A STUDY TO ASSESS THE EFFECTIVENESS OF ANULOM VILOM IN REDUCTION OF STRESS AMONG SENIOR CITIZENS IN SELECTED AREA OF JHALAWAR DISTRICT RAJASTHAN
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 6 | Year: June 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Health Science All
Author type: Indian Author
Pubished in Volume: 10
Issue: 6
Pages: b553-b556
Year: June 2022
Downloads: 492
E-ISSN Number: 2320-2882
Abstract : Stress can be considered as a state of mental or emotional strain or tension resulting from adverse or demanding circumstances. Stress is as the result of an interaction between an individual's emotional, intellectual, social and physical resources and the demands on him or her. Argued that stress is a different phenomenon from pressure. Stress is something more than pressure1. In addition, most of the aged are not accorded the dignity of care they deserve in later life. Alternate nostril breathing such as Anulom Vilom is noted for its physical and mental health benefits, including: improved patience, focus, and control. relief from stress and anxiety. Improvements to brain, respiratory, and cardiovascular health. Perceived stress is higher for students in various healthcare courses. Previous studies have shown that pranayama practice is beneficial for combating stress and improve cardiovascular functions but both fast and slow pranayama practice produce different physiological responses.7MATERIAL AND METHOD: A quantitative research approach with non-experimental survey design was used to conduct the study in selected area of Jhalawar District of Rajasthan . The study setting was in Green park area Jhalwar Rajasthan Non-probability convient sampling technique was adapted to select 30 senior citizen selected area of Jhalawar District of Rajasthan .A standardized Perceived Stress Scale (PSS) was used to assess the stress among senior citizen . Ethical permission was taken from authorities in concerned areas. The written consent form was prepared for the study participant regarding their willingness to participate in the research studyThe present study found that in the pre assessment of stress the most of Senior citizens had severe stress 53% followed by moderate 30 % mild level of stress and 17%. After doing regular Anulom Viloma pranayama majority of the senior citizens shifted to moderate level of stress 66.7% and in 10% in mild stress. These results were supported by Panigrahi S et al (2015) which found that the most of the elders (86.66%) residing in selected old age home had moderate stress whereas similar percentage (6.66%) of them had mild and severe stress respectively
Licence: creative commons attribution 4.0
senior citizen , stress , anulom viloma ageing
Paper Title: HIGH PERFORMANCE RIPPLE CARRY ADDERS IN VLSI DESIGN
Author Name(s): Dr. S. Yuvaraj., Ph. D.,, Dr. K.K. Senthilkumar., Ph. D.,, Dr. K. Senthamil Selvan., Ph. D.,, A.R. Aravind.,M.E.,
Published Paper ID: - IJCRT22A6199
Register Paper ID - 221320
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT22A6199 and DOI :
Author Country : Indian Author, India, 600127 , Chennai, 600127 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT22A6199 Published Paper PDF: download.php?file=IJCRT22A6199 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT22A6199.pdf
Title: HIGH PERFORMANCE RIPPLE CARRY ADDERS IN VLSI DESIGN
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 6 | Year: June 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 6
Pages: b545-b552
Year: June 2022
Downloads: 579
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
VLSI Design, low power VLSI Design, Digital logic System design, ALU, RCAs, FPGAs.
Paper Title: HEALTH CARE PROFESSIONALS PERFORMANCE OF DEEP CERVICAL FLEXOR TRAINING FOR NECK PAIN
Author Name(s): Suganya.G, Senthil Vadivel.P, Ramya.S
Published Paper ID: - IJCRT22A6198
Register Paper ID - 220057
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT22A6198 and DOI :
Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT22A6198 Published Paper PDF: download.php?file=IJCRT22A6198 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT22A6198.pdf
Title: HEALTH CARE PROFESSIONALS PERFORMANCE OF DEEP CERVICAL FLEXOR TRAINING FOR NECK PAIN
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 6 | Year: June 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 6
Pages: b524-b544
Year: June 2022
Downloads: 561
E-ISSN Number: 2320-2882
The study aim is to determine the effectiveness of deep cervical flexor training in treating neck pain in health care professionals. Objectives of the study: -To determine the presence of neck pain in dental professionals. -To assess the symptoms of neck pain in dental professionals using the neck disability index. -After grouping them based on the presence of neck pain, random allotment in the experimental group will be performed. -To evaluate the effect of deep cervical flexor training in the study group Method: The study included 50 dentists diagnosed with neck pain at Rajah Muthiah dental college and hospital. The neck disability index score was used to categorize 50 subjects as moderate and mild. There were 30 subjects in the moderate group and 20 subjects in the mild group. The subjects were divided into two groups at random: experimental and control. The experimental group received deep cervical flexor training, while the control group did not receive the training. Results: The mild group's pre-therapy (10.40) score had a higher mean value than the 8th week (1.20). For this group, the calculated 't' value is 19.82 and the Probability value is 0.001 at the 0.01 level of significance. Pre test (31.33) score in moderate group was higher with mean value than 8th week (2.80). For the moderate group, the calculated 't' value is 27.92 and the probability value is 0.001 at the 0.01 level of significance. As a result, the effectiveness of deep cervical flexor training has been proved. Conclusion: According to the findings of this study, there was a highly significant improvement in the experimental group due to the effectiveness of deep cervical flexor training, but little improvement in the control group, which did not receive deep cervical flexor training. This exercise has been shown to be an effective intervention for reducing neck pain in dental professionals. Less pain may allow for better ergonomically good posture, to work better.
Licence: creative commons attribution 4.0
Neck pain (NP), occupational therapy (OT), neck disability index scale (NDI), deep cervical flexor training (DCF).
Paper Title: ASSOCIATE PRODUCT RECOMMENDATION USING RULE MINING TECHNIQUE
Author Name(s): D.Lavanya, N.Yasodha
Published Paper ID: - IJCRT22A6196
Register Paper ID - 221000
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT22A6196 and DOI :
Author Country : Indian Author, India, 642004 , Pollachi, 642004 , | Research Area: Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT22A6196 Published Paper PDF: download.php?file=IJCRT22A6196 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT22A6196.pdf
Title: ASSOCIATE PRODUCT RECOMMENDATION USING RULE MINING TECHNIQUE
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 6 | Year: June 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science All
Author type: Indian Author
Pubished in Volume: 10
Issue: 6
Pages: b495-b501
Year: June 2022
Downloads: 535
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
Product Recommendation, Rule Mining, Associate Products
Paper Title: UNDERWATER IMAGE ENHANCEMENT AND COLOR CORRECTION: A REVIEW
Author Name(s): SHIRIN SHAHANA V, JEESHMA JANARDHANAN
Published Paper ID: - IJCRT22A6195
Register Paper ID - 221153
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT22A6195 and DOI :
Author Country : Indian Author, India, 673542 , KOZHIKODE, 673542 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT22A6195 Published Paper PDF: download.php?file=IJCRT22A6195 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT22A6195.pdf
Title: UNDERWATER IMAGE ENHANCEMENT AND COLOR CORRECTION: A REVIEW
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 6 | Year: June 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 6
Pages: b491-b494
Year: June 2022
Downloads: 485
E-ISSN Number: 2320-2882
Images taken from underwater usually suffer from the problems of quality degradation and distortions due to various factors such as absorption, scattering, presence of the suspended particles, etc. To address these problems, a series of underwater image enhancement and restoration technologies are applied to underwater vision tasks. There are various methods like filtering based methods, color correction based methods, image fusion based methods, and deep learning methods for underwater image enhancement This paper is to review different image enhancement techniques and an image enhancement method is proposed here.. A novel color correction method based on color filter array(CFA) and an enhancement method based on Retinex with dense pixels and adaptive linear histogram transformation for degraded color-biased underwater image is proposed here .This aim to bring more enhancement in underwater degraded images with high fidelity leading to an improved global contrast, reduced noise level, and also retaining intricate and sharp details of the original images
Licence: creative commons attribution 4.0
Image enhancement ,underwater image color correction ,color filter array, Retinex, McCann Retinex
Paper Title: A STUDY ON CONSUMER PREFERENCES TOWARDS HINDUSTAN UNILEVER PRODUCTS WITH REFERENCE TO COIMBATORE CITY
Author Name(s): Dr.T.Prabu Vengatesh, Ms.J.Nanthini, D.Brindha
Published Paper ID: - IJCRT22A6194
Register Paper ID - 220489
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT22A6194 and DOI :
Author Country : Indian Author, India, 641006 , Coimbatore, 641006 , | Research Area: Commerce All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT22A6194 Published Paper PDF: download.php?file=IJCRT22A6194 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT22A6194.pdf
Title: A STUDY ON CONSUMER PREFERENCES TOWARDS HINDUSTAN UNILEVER PRODUCTS WITH REFERENCE TO COIMBATORE CITY
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 6 | Year: June 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Commerce All
Author type: Indian Author
Pubished in Volume: 10
Issue: 6
Pages: b486-b490
Year: June 2022
Downloads: 625
E-ISSN Number: 2320-2882
This study focuses on the relationship between consumer preferences and purchase of Hindustan Unilever Products and also to know the most important factor of consumer behavior in Coimbatore district. For the current topic the data was collected through questionnaires based survey. This study not only focus on consumer needs and wants, their habits, taste, their likes and dislikes, and it also answer the questions like What they buy? Why they buy? Where they buy? Added to this consumer satisfaction, is widely recognized as a key pressure in the formation of consumer's future purchase intentions.
Licence: creative commons attribution 4.0
HUL, consumer satisfaction, buying behavior
Paper Title: STOCK MARKET PREDICTION USING MACHINE LEARNING
Author Name(s): Sathya S, Dr. N. Radha
Published Paper ID: - IJCRT22A6193
Register Paper ID - 221157
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT22A6193 and DOI :
Author Country : Indian Author, India, 642104 , Coimbatore, 642104 , | Research Area: Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT22A6193 Published Paper PDF: download.php?file=IJCRT22A6193 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT22A6193.pdf
Title: STOCK MARKET PREDICTION USING MACHINE LEARNING
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 6 | Year: June 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science All
Author type: Indian Author
Pubished in Volume: 10
Issue: 6
Pages: b482-b485
Year: June 2022
Downloads: 519
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
LSTM, time-series, forecasting

