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: ORIGINAL RESEARCH ARTICLE - A CROSS SECTIONAL STUDY ON CHANGING PROFILES OF RESISTANCE PATTERN OF METHICILLIN RESISTANT STAPHYLOCOCCUS AUREUS ISOLATES IN BURN PATIENTS ADMITTED AT A TERTIARY CARE HOSPITAL IN CENTRAL INDIA
Author Name(s): Dr Shiva Shankari L, Dr Nitin A A
Published Paper ID: - IJCRT2106304
Register Paper ID - 208663
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2106304 and DOI :
Author Country : Indian Author, India, 641002 , Coimbatore, 641002 , | Research Area: Humanities All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106304 Published Paper PDF: download.php?file=IJCRT2106304 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106304.pdf
Title: ORIGINAL RESEARCH ARTICLE - A CROSS SECTIONAL STUDY ON CHANGING PROFILES OF RESISTANCE PATTERN OF METHICILLIN RESISTANT STAPHYLOCOCCUS AUREUS ISOLATES IN BURN PATIENTS ADMITTED AT A TERTIARY CARE HOSPITAL IN CENTRAL INDIA
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 6 | Year: June 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Humanities All
Author type: Indian Author
Pubished in Volume: 9
Issue: 6
Pages: c494-c501
Year: June 2021
Downloads: 1351
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
Burn wound, Inducible Clindamycin Resistance, MRSA
Paper Title: PLC BASED HAND SANITIZER DISPENSER SYSTEM
Author Name(s): TARUN KUMAR CHHEEPA, GIRISH KUMAR SINGH, ABHISHEK JADON, LAKSHAY MATHUR, SURENDRA CHOUDHARY
Published Paper ID: - IJCRT2106303
Register Paper ID - 208651
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2106303 and DOI :
Author Country : Indian Author, India, 302020 , JAIPUR, 302020 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106303 Published Paper PDF: download.php?file=IJCRT2106303 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106303.pdf
Title: PLC BASED HAND SANITIZER DISPENSER SYSTEM
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 6 | Year: June 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 6
Pages: c489-c493
Year: June 2021
Downloads: 1406
E-ISSN Number: 2320-2882
In the very beginning of 2020, covid-19 exploded all over the world and disturbed our lifestyle. In these tragic conditions, alcohol-based hand sanitizers play an important role and become a vital fluid nowadays though they need to be used properly. Touching alcohol containers or hand sanitizers with infected hands can spread the virus to the next person. We propose to build an automatic hand sanitizer dispenser that uses IR sensors to detect the presence of a hand and activates a pump or solenoid to pour the liquid on the hand. The intention was to find the cheapest and easiest solution and design a circuit & manufacture the same in India. The dispenser is contactless and will spray alcohol-based hand rub sanitizer for sanitization of hands while entering buildings like Hospitals, Office complexes, Malls, etc. This is a mist-based dispenser, to optimize the consumption of sanitizer. Whereas in normal usage, we use 20-30 ml of sanitizer for one operation, this sanitizer does the same job by dispensing just 5- 6ml of sanitizer in mist form over a long period.
Licence: creative commons attribution 4.0
Paper Title: USE OF WASTE FOUNDRY SAND IN INFRASTRUCTURE
Author Name(s): Pradnya Sonaji Pradhan, Amar Shitole, Ashwini Avinash Shinde, Sujal Sunil Haridas, Aishwarya Anant Taru
Published Paper ID: - IJCRT2106302
Register Paper ID - 208566
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2106302 and DOI :
Author Country : Indian Author, India, 412101 , PUNE, 412101 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106302 Published Paper PDF: download.php?file=IJCRT2106302 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106302.pdf
Title: USE OF WASTE FOUNDRY SAND IN INFRASTRUCTURE
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 6 | Year: June 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 6
Pages: c483-c488
Year: June 2021
Downloads: 1430
E-ISSN Number: 2320-2882
Utilization of industrial waste materials in concrete compensates the lack of natural resources, solving the disposal problem of waste and to find alternative technique to safeguard the nature. There are a number of industrial wastes used as fully or partial replacement of coarse aggregate or fine aggregate. This review carries out a thorough assessment about industrial waste substances, which can be adequately utilized in concrete as fine aggregate substitution. This paper reviewed foundry sand as industrial waste. Basically sand from industrial waste flow through the machines during the sand reclamation process. Experiments have been conducted using waste foundry sand. Crushed sand has been replaced by waste foundry sand which improves compressive strength.
Licence: creative commons attribution 4.0
Waste Foundry Sand, Compressive Strength, Grade of Concrete.
Paper Title: SMART TRAFFIC LIGHT
Author Name(s): SPARSH JINDAL, NISHANT NEHRA, VIBHOR SHARMA
Published Paper ID: - IJCRT2106301
Register Paper ID - 208584
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2106301 and DOI :
Author Country : Indian Author, India, 110007 , New Delhi, 110007 , | Research Area: Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106301 Published Paper PDF: download.php?file=IJCRT2106301 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106301.pdf
Title: SMART TRAFFIC LIGHT
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 6 | Year: June 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science All
Author type: Indian Author
Pubished in Volume: 9
Issue: 6
Pages: c477-c482
Year: June 2021
Downloads: 1358
E-ISSN Number: 2320-2882
Emergency vehicles such as ambulances, fire trucks are delayed in traffic as they confront numerous challenges, and valuable human lives are lost as a result of bad traffic management. In this research, a model is proposed for predicting traffic heaviness on roadways utilising image processing techniques with an emergency vehicle recognition system, as well as a traffic signal management model based on information collected from real time traffic videos. The majority of traffic signal systems use a timing mechanism that switches the lights after a set amount of time. In some situations, this may be ineffective. The controller receives no feedback from the regulated variable (traffic volume) (traffic control system using lighting). For example, whether the road is crowded or not, the duration of the green light will always be the same. To solve these congestion problems, it is better to build a new control system; a smart and intelligent control system. The smart traffic light system senses the presence or absence of vehicles and reacts accordingly. The idea behind smart traffic systems is that drivers will not spend unnecessary time waiting for the traffic lights to change. In addition, on detecting emergency vehicles in a lane the traffic signal is turned to green immediately so that a free passage is provided to these vehicles. This would help the emergency vehicles to reach the destination on the time thereby saving time as well as loss of life.
Licence: creative commons attribution 4.0
Paper Title: GENERALIZED ANXIETY AMONG YOUNG ADULTS DURING COVID SECOND WAVE INFECTION.
Author Name(s): Rosemol Thamby, Ann Maria Vincent
Published Paper ID: - IJCRT2106300
Register Paper ID - 208630
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2106300 and DOI :
Author Country : Indian Author, India, 680307 , Thrissur, 680307 , | Research Area: Arts1 All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106300 Published Paper PDF: download.php?file=IJCRT2106300 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106300.pdf
Title: GENERALIZED ANXIETY AMONG YOUNG ADULTS DURING COVID SECOND WAVE INFECTION.
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 6 | Year: June 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Arts1 All
Author type: Indian Author
Pubished in Volume: 9
Issue: 6
Pages: c469-c476
Year: June 2021
Downloads: 1402
E-ISSN Number: 2320-2882
Abstract Covid second wave infections are reported in the country and it is having a super spread. Kerala alone have a number of cases. Generalized Anxiety Disorder (GAD) is characterized by persistent and excessive worry about a number of different things. People with GAD may anticipate disaster and may be overly concerned about money, health, family, work, or other issues. Purpose of the study: To study about Generalized Anxiety among Young Adults during Covid Second Wave infection. Method: Survey Method is used to collect the data. Sample: study was conducted on 120 young adults which include 60 males and 60 females from various districts of Kerala and random sampling is used. Measures: Generalized Anxiety disorder Screener (GAD-7) by Spitzer et.al (2006). Statistical Analysis: t Test to statistically analyse the data. Keywords: Covid, Covid Second Wave, Generalized Anxiety, Anxiety, Infection
Licence: creative commons attribution 4.0
Covid, Covid Second Wave, Generalized Anxiety, Anxiety, Infection
Paper Title: REVIEW: MESOPOROUS SILICA NANOPARTICLES AND APPLICATION
Author Name(s): Aachal Anil Gosavi*, Jadhav Pooja S, Pathare Vaishnavi B, Bhojane Kalyani B, Patil Sagar S
Published Paper ID: - IJCRT2106299
Register Paper ID - 208642
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2106299 and DOI :
Author Country : Indian Author, India, 425412 , Nandurbar, 425412 , | Research Area: Pharmacy All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106299 Published Paper PDF: download.php?file=IJCRT2106299 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106299.pdf
Title: REVIEW: MESOPOROUS SILICA NANOPARTICLES AND APPLICATION
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 6 | Year: June 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Pharmacy All
Author type: Indian Author
Pubished in Volume: 9
Issue: 6
Pages: c463-c468
Year: June 2021
Downloads: 1370
E-ISSN Number: 2320-2882
Mesoporous silica oxide nanoparticles are receiving growing attention from the scientific medical community. Among the various styles of inorganic nanomaterials, mesoporous silica oxide nanoparticles have emerged as promising multifunctional platforms for nanomedicine. Since their introduction within the drug delivery landscape in 2001, mesoporous materials for drug delivery area units receiving growing scientific interest for his or their potential applications within the biotechnology and nanomedicine fields. Mesoporous oxide materials exhibit a bigger capability for medication loading and ensure a controlled bio-active compound unharness if they're functionalized than amorphous mixture oxide. This review summarizes the recent advancement within mesoporous oxide nanomaterials' getting and biological properties, action the synthesis strategies, and drug delivery application.
Licence: creative commons attribution 4.0
Types, Advantages, Disadvantage, Synthesis, Applications
Paper Title: IMAGE CAPTION GENERATOR USING CNN
Author Name(s): K.Praveen Kumar, V.Prakash Reddy, G.Indra karan reddy, N.S.Ganesh
Published Paper ID: - IJCRT2106298
Register Paper ID - 208639
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2106298 and DOI :
Author Country : Indian Author, India, 500047 , hyderabad, 500047 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106298 Published Paper PDF: download.php?file=IJCRT2106298 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106298.pdf
Title: IMAGE CAPTION GENERATOR USING CNN
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 6 | Year: June 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 6
Pages: c457-c462
Year: June 2021
Downloads: 1440
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
Image, caption, convolutional neural network, Description, Artificial intelligence.
Paper Title: A SURVEY PAPER ON CROP PREDICTION USING MACHINE LEARNING
Author Name(s): Aryamol A U, Raji P G, Sam G Benjamin
Published Paper ID: - IJCRT2106297
Register Paper ID - 208625
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2106297 and DOI :
Author Country : Indian Author, India, 691334 , Kollam, 691334 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106297 Published Paper PDF: download.php?file=IJCRT2106297 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106297.pdf
Title: A SURVEY PAPER ON CROP PREDICTION USING MACHINE LEARNING
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 6 | Year: June 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 6
Pages: c451-c456
Year: June 2021
Downloads: 1425
E-ISSN Number: 2320-2882
Agriculture is the backbone of India. It also plays an important role in the Indian economy by providing a major percentage of domestic cultivation to ensure the security of food. Now a days all the farmers facing difficulties on cultivation due to natural calamities and wrong selection of crops. Machine learning is one of the best possible ways to solve the farmers problem at an extend. However there occurs a problem regarding which algorithm suits the best as well as which is the best way to do so. This paper is a survey on the strategies as well as the algorithms used with pros and cons. With existing system issues and libraries used.
Licence: creative commons attribution 4.0
Machine Learning, prediction, Classification Technique.
Paper Title: SURVEY PAPER ON STOCK PREDICTION USING MACHINE LEARNING ALGORITHMS
Author Name(s): Lekshmi S, Deepa Rajan, Sam G Benjamin
Published Paper ID: - IJCRT2106296
Register Paper ID - 208626
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2106296 and DOI :
Author Country : Indian Author, India, 691583 , Kollam, 691583 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106296 Published Paper PDF: download.php?file=IJCRT2106296 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106296.pdf
Title: SURVEY PAPER ON STOCK PREDICTION USING MACHINE LEARNING ALGORITHMS
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 6 | Year: June 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 6
Pages: c446-c450
Year: June 2021
Downloads: 1396
E-ISSN Number: 2320-2882
Stock market is widely used in investment scheme promising high return but it has some risk. Stock returns are very fluctuating in nature. They depend upon various factors like previous stock prices, current market trends, financial news, social media etc. Many practices like technical analysis, fundamental analysis, time series analysis and statistical analysis etc. are used to predict the stock value but none of these procedures are proved as an allowable prediction tool. This paper surveys various machine learning techniques and algorithms employed to uplift the accuracy of stock price prediction.
Licence: creative commons attribution 4.0
Machine Learning, Prediction, Support Vector Machine, Accuracy, Linear Regression
Paper Title: SHIFT TOWARDS SUSTAINABLE URBAN TRANSPORT : THE CASE OF INDIA
Author Name(s): Radha Arora, Dr. Manisha Raj
Published Paper ID: - IJCRT2106295
Register Paper ID - 208609
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2106295 and DOI :
Author Country : Indian Author, India, 201002 , Ghaziabad, 201002 , | Research Area: Arts1 All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106295 Published Paper PDF: download.php?file=IJCRT2106295 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106295.pdf
Title: SHIFT TOWARDS SUSTAINABLE URBAN TRANSPORT : THE CASE OF INDIA
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 6 | Year: June 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Arts1 All
Author type: Indian Author
Pubished in Volume: 9
Issue: 6
Pages: c438-c445
Year: June 2021
Downloads: 1430
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
Sustainability, Urban Transport, Mobility, Sustainable Transport

