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: CYBER AND PHYSICAL SECURITY IN INTERNET OF THINGS(IOT)
Author Name(s): Nishitha.P.M, Reesha. P. U
Published Paper ID: - IJCRT2106771
Register Paper ID - 209385
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2106771 and DOI :
Author Country : Indian Author, India, 680567 , Thrissur, 680567 , | Research Area: Other area not in list Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106771 Published Paper PDF: download.php?file=IJCRT2106771 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106771.pdf
Title: CYBER AND PHYSICAL SECURITY IN INTERNET OF THINGS(IOT)
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 6 | Year: June 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Other area not in list
Author type: Indian Author
Pubished in Volume: 9
Issue: 6
Pages: g471-g474
Year: June 2021
Downloads: 1352
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
Paper Title: ON THE SUBJECT OF DEATH
Author Name(s): Phrimna Valerious
Published Paper ID: - IJCRT2106770
Register Paper ID - 209346
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2106770 and DOI :
Author Country : Indian Author, India, 683517 , ERNAKULAM, 683517 , | Research Area: Arts All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106770 Published Paper PDF: download.php?file=IJCRT2106770 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106770.pdf
Title: ON THE SUBJECT OF DEATH
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 6 | Year: June 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Arts All
Author type: Indian Author
Pubished in Volume: 9
Issue: 6
Pages: g461-g470
Year: June 2021
Downloads: 1436
E-ISSN Number: 2320-2882
The article is an analysis of two poetess and their preoccupation and fascination with death. The two poetess are Emily Dickinson and Sylvia Plath. Their biographical history is also taken into consideration to come to the final analysis of their treatment of death. Though both have their own unique set of differences with respect to experiences and viewpoints we see the treatment being meted out to them by death is pretty uniform. it is distant and elusive.
Licence: creative commons attribution 4.0
Emily Dickinson, Sylvia Plath, Analysis, Similarities, Death, Immortality, Mortality
Paper Title: CLOUD CRYPTOGRAPHY: SECURITY FEATURE
Author Name(s): Deepthi K P, Prameeja Prasidhan
Published Paper ID: - IJCRT2106769
Register Paper ID - 209381
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2106769 and DOI :
Author Country : Indian Author, India, 680683 , Thrissur, 680683 , | Research Area: Others area Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106769 Published Paper PDF: download.php?file=IJCRT2106769 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106769.pdf
Title: CLOUD CRYPTOGRAPHY: SECURITY FEATURE
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 6 | Year: June 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Others area
Author type: Indian Author
Pubished in Volume: 9
Issue: 6
Pages: g453-g460
Year: June 2021
Downloads: 1283
E-ISSN Number: 2320-2882
As we as a whole, realize that the information which is created by the administrations are should have been Put away and used are quickly expanding. Cloud computing is a stage that can grow the abilities and can faster the possibilities powerfully without utilizing new programming frameworks. The primary benefit of cloud computing is this load of administrations is given for minimal expense to the client. Hence, every one of the clients was Moving their information on the cloud. The significant justification for the increment utilization of cloud computing is the absence of security and furthermore, the client can store and access the put-away information in the cloud from any place at any time. So the clients of this cloud administration should know the Perils of transferring the information to the general public. This paper manages the Cryptography method and it principally centers around the cloud storage administrations. The paper means to shows the particular security issues which are brought by the utilization of Cryptography in a cloud computing framework and inspect an assortment of cryptographic strategies utilized by significant cloud suppliers.
Licence: creative commons attribution 4.0
Cloud, Cryptography, Cloud Computing, Cryptographic algorithms, Encryption, Decryption, Cipher text, Security, Symmetric-Key, Asymmetric-Key
Paper Title: AN EXPERIMENTAL STUDY ON THE PREPARATION OF GREEN CONCRETE USING FLY ASH AND RECYCLED CONCRETE AGGREGATES
Author Name(s): AAKASH SRIVASTAVA, RAJNEESH KUMAR
Published Paper ID: - IJCRT2106768
Register Paper ID - 209373
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2106768 and DOI :
Author Country : Indian Author, India, 226012 , LUCKNOW, 226012 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106768 Published Paper PDF: download.php?file=IJCRT2106768 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106768.pdf
Title: AN EXPERIMENTAL STUDY ON THE PREPARATION OF GREEN CONCRETE USING FLY ASH AND RECYCLED CONCRETE AGGREGATES
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: g449-g452
Year: June 2021
Downloads: 1414
E-ISSN Number: 2320-2882
The green concrete term is not related to the color of the concrete. The term is related to the eco-friendly nature of the concrete, sustainable development, and decreasing the greenhouse effect. This research article discusses the significance of green concrete shortly. Most of the big construction companies are now focusing on green infrastructure. They are trying their best to decrease the load on the environment in various steps for sustainable development. Concrete is among the highest percentage of materials used at the construction site. We can utilize the waste and demolished concrete materials by crushing them and passing through the required sieve size, both fine aggregates and coarse aggregates were recovered. The mix is prepared with different percentages of fly ash replacing Portland pozzolana Cement. Compressive Strength tests were performed at the lab for different Percentages of replacement of cement with fly ash.
Licence: creative commons attribution 4.0
Concrete, Sustainable Development, Green, materials, Compressive Strength
Paper Title: EXPERIMENTAL STUDY ON SELFCOMPACTING RC BEAM REINFORCED WITH GEOGRID AS TENSION REINFORCEMENT
Author Name(s): Reshma Suresh, Amritha E.K.
Published Paper ID: - IJCRT2106767
Register Paper ID - 209363
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2106767 and DOI :
Author Country : Indian Author, India, 680702 , IRINJALAKUDA, 680702 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106767 Published Paper PDF: download.php?file=IJCRT2106767 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106767.pdf
Title: EXPERIMENTAL STUDY ON SELFCOMPACTING RC BEAM REINFORCED WITH GEOGRID AS TENSION REINFORCEMENT
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: g444-g448
Year: June 2021
Downloads: 1408
E-ISSN Number: 2320-2882
This research looked into the behaviour of an SCC reinforced concrete (RC) beam with a biaxial geogrid as an extra reinforcement. The use of geogrid in concrete gave geosynthetics a whole new meaning in structural engineering. Geogrids are utilised in asphalt concrete layer stability, confinement, and strengthening, as well as to decrease reflective cracking in pavement applications. The purpose of examining the behaviour of geogrids in structural members gives opportunity to observe benefit and feasibility of using geogrid in thin concrete layers. One control beam (CB) and four geogrid reinforced concrete beams (GB) with variable geogrid layers from one to five are used in the experiment. The two-point stress on these beams was gradually increased until they collapsed. The first crack load, ultimate load carrying capacity and behaviour was observed till collapse occurred. The behavior and flexural strength of these geogrid beams were compared with that of a control beam that had the steel reinforcements alone. The results of the tests show that geogrid can be utilised as a substitute for steel in structural parts
Licence: creative commons attribution 4.0
SCC (Self comapcting Concrete), biaxial geogrid, and flexural strength
Paper Title: PREDICTION OF THE TYPE OF VENTILATOR FOR A PATIENT USING IOT BASED OXIMETER
Author Name(s): YANDA LAXMANA RAO, Pilla Mohan Ganesh, NAGIREDDY VIREESHA, BHADRIRAJU LALITHA PRIYANKA, Mugada Sai Kanthi Sushma
Published Paper ID: - IJCRT2106766
Register Paper ID - 209362
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2106766 and DOI :
Author Country : Indian Author, India, 533006 , Kakinada, 533006 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106766 Published Paper PDF: download.php?file=IJCRT2106766 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106766.pdf
Title: PREDICTION OF THE TYPE OF VENTILATOR FOR A PATIENT USING IOT BASED OXIMETER
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: g436-g443
Year: June 2021
Downloads: 1378
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
Pulse Oximeter, HR, Arduino, bpm, SpO2, Photoplethysmography, NodeMCU, LCD, MAX 30102
Paper Title: A NOVEL APPROACH FOR IMAGE CAPTION GENERATOR USING CNN-RNN METHODS
Author Name(s): Ch. Jeevana Jyothi, G. Gayathri, Ch. Bhargavi, B. Jaswanth, J. Karthik
Published Paper ID: - IJCRT2106765
Register Paper ID - 209368
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2106765 and DOI :
Author Country : Indian Author, India, 521356 , Gudlavalleru, 521356 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106765 Published Paper PDF: download.php?file=IJCRT2106765 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106765.pdf
Title: A NOVEL APPROACH FOR IMAGE CAPTION GENERATOR USING CNN-RNN METHODS
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: g431-g435
Year: June 2021
Downloads: 1404
E-ISSN Number: 2320-2882
Abstract: With the development of deep learning, the combination of computer vision and natural language process has attracted a lot of attention in the last few years. Caption embedding is representative of this file, which enables the computer to learn to use one or more sentences to understand the visual content of the image. The efficient process of producing high-definition semantics is required not only for the recognition of an object and the scene, but also for the ability to analyze the state, attributes and relationships between these objects. Although captioning is a difficult and difficult task, many researchers have found significant improvements. In this project, we describe in detail the three ways to insert image captions using deep neural networks CNN-RNN based, CNN-CNN-based framework and based on reinforcement. We then present the work representing the top three methods in a row, explain the metrics for testing and summarize the main advantages and disadvantages. Over the past few years, the problem of making automated descriptive sentences for photographs has gained a growing interest in natural language research and computer-based research. Image captioning is an important task that requires a basic understanding of images and the ability to produce descriptive sentences with appropriate and appropriate structure. In this study, the authors propose a hybrid system that uses the multilayer Convolutional Neural Network (CNN) to produce visual vocabulary and Long Short Term Memory (LSTM) to organize sound sentences using generated keywords. A convolutional neural network compares the image to a large database of training images, and creates an accurate description using trained captions.
Licence: creative commons attribution 4.0
Paper Title: ANALYTICAL STUDY OF METALLIC SANDWICH PANEL UNDER BLAST LOAD
Author Name(s): Mariya George C, Sajan Jose
Published Paper ID: - IJCRT2106764
Register Paper ID - 209352
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2106764 and DOI :
Author Country : Indian Author, India, 680121 , Irinjalakuda, 680121 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106764 Published Paper PDF: download.php?file=IJCRT2106764 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106764.pdf
Title: ANALYTICAL STUDY OF METALLIC SANDWICH PANEL UNDER BLAST LOAD
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: g425-g430
Year: June 2021
Downloads: 1335
E-ISSN Number: 2320-2882
This study has been undertaken to investigate the front layer deflection of metallic sandwich panel under blast loads. This study analytically evaluated the deformation of front layer of honeycomb sandwich panel using different core materials (Steel and Aluminium) and fixed outer layer material (Steel). Results shows Aluminium core with steel outer layer combination shows better performance under blast load. 500 g of Trinitrotoluene (TNT) used as blasting material and the finite-element model simulated using dynamic nonlinear explicit software ANSYS Workbench 16. 1.
Licence: creative commons attribution 4.0
Honeycomb sandwich panel, TNT, Core topology
Paper Title: CRYPTOCURRENCY PRICE ANALYSIS USING MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE
Author Name(s): Deepali A Patil, Tanmay A Jain, Mohamed Azeem R Khot, Bhargav D Joshi
Published Paper ID: - IJCRT2106763
Register Paper ID - 209360
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2106763 and DOI : http://doi.one/10.1729/Journal.39367
Author Country : Indian Author, India, 401107 , Mumbai, 401107 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106763 Published Paper PDF: download.php?file=IJCRT2106763 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106763.pdf
Title: CRYPTOCURRENCY PRICE ANALYSIS USING MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE
DOI (Digital Object Identifier) : http://doi.one/10.1729/Journal.39367
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: g422-g424
Year: June 2021
Downloads: 2253
E-ISSN Number: 2320-2882
The role of Cryptocurrency has been really important in reshaping the financial system due to its increasing popular appeal and worldwide acceptance. A lot of people have started to make investments in Cryptocurrency, but the dynamical features, uncertainty, and predictability of Cryptocurrency are still mostly unknown, which dramatically risks the investments. It is a matter of trying to understand the factors that influence the value formation. In this study, we use advanced artificial intelligence frameworks of Long Short Term Memory (LSTM) and Recurrent Neural Network (RNN) to predict the price of different cryptocurrencies. Evaluation of these algorithms is carried out to determine better prediction to analyze the price dynamics of different cryptocurrencies including Bitcoin, Ethereum, and Ripple. However, the explanation of the predictability could vary depending on the design of the machine-learning model which is implemented.
Licence: creative commons attribution 4.0
Long Short Term Memory, Recurrent Neural Network, Cryptocurrency, Machine Learning
Paper Title: DISEASE IDENTIFIER BY SYMPTOMS USING MACHINE LEARNING
Author Name(s): Bhavesh Shah, Akanksha Shelar, Jai Singh
Published Paper ID: - IJCRT2106762
Register Paper ID - 209357
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2106762 and DOI :
Author Country : Indian Author, India, 401107 , MIRA ROAD EAST, 401107 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106762 Published Paper PDF: download.php?file=IJCRT2106762 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106762.pdf
Title: DISEASE IDENTIFIER BY SYMPTOMS 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: g418-g421
Year: June 2021
Downloads: 1339
E-ISSN Number: 2320-2882
Health information needs also are changing the knowledge seeking behavior and may be observed round the globe. Challenges faced by many folks are looking online for health information regarding diseases, diagnoses and different treatments. If a recommendation system can be made for doctors and medicine while using review mining will save plenty of some time. In this system like these, the user faces many problems in understanding the core medical vocabulary as the users are laymen. User is confused because an outsized amount of medical information on different mediums are available. The idea behind recommender system is to adapt to affect the special requirements of the health problems of a user.
Licence: creative commons attribution 4.0
Python machine learning disease symptoms identifier

