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: A WOMAN IN BURKHAH
Author Name(s): Shekhar Bhagwan Vispute
Published Paper ID: - IJCRT2107039
Register Paper ID - 209554
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2107039 and DOI :
Author Country : Indian Author, India, 440013 , Nagpur, 440013 , | Research Area: Arts All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2107039 Published Paper PDF: download.php?file=IJCRT2107039 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2107039.pdf
Title: A WOMAN IN BURKHAH
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 7 | Year: July 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Arts All
Author type: Indian Author
Pubished in Volume: 9
Issue: 7
Pages: a265-a271
Year: July 2021
Downloads: 1414
E-ISSN Number: 2320-2882
A Woman in Burkhah is a story of true human relationship between a disable boy and a motherly woman in burkhah. The disable boy, Anmol is admitted in JJ Hospital, Mumbai after being a massive accident. His right leg is amputated by the doctor due to gangrene. He becomes disable at the age of 11 years. He suffers from the unbearable searing pains. Suddenly a woman in burkhah appears like an angel in the accidental ward and tries to comfort the boy giving chocolates and cadburies. Anmol feels very happy in her company. He considers her as his mother and feels relieved from his sufferings and pains. She too loves him like her son. But nobody knows about her name and from where has come. Suddenly she disappears leaving sweet memories. The story ends at the search of Anmol for the woman in burkhah who taught him the humanity and love are more important than the caste and the religion.
Licence: creative commons attribution 4.0
Paper Title: THREE LEVEL PASSWORD AUTHENTICATION SYSTEM
Author Name(s): Dr Prakash Bethapudi, T Harika, G Nirisha, K Prasanna
Published Paper ID: - IJCRT2107038
Register Paper ID - 209559
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2107038 and DOI :
Author Country : Indian Author, India, 530009 , Visakhapatnam, 530009 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2107038 Published Paper PDF: download.php?file=IJCRT2107038 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2107038.pdf
Title: THREE LEVEL PASSWORD AUTHENTICATION 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: a257-a264
Year: July 2021
Downloads: 1752
E-ISSN Number: 2320-2882
In the present situation security is highly important. Keeping that as a major issue here we form a 3-level security system which increases the confidentially to the password in a higher level. At each session user need to get authenticated so that it is able for them to proceed to the next level. LEVEL 1- authenticated by OTP generation via email, LEVEL 2- authenticated by explicit calculation-based method, LEVEL 3- authenticated by image ordering. After getting authenticated in all the levels the user can use the system. If fails to authenticate in any level then it is not possible to move to the next level
Licence: creative commons attribution 4.0
Authentication, Security, Confidentiality, Password, OTP generation, Image Ordering
Paper Title: IMAGE ENCRYPTION WITH CHAOTIC SYSTEM AND CML
Author Name(s): Deepali Patil, Dhaval Jain, Deep Dave
Published Paper ID: - IJCRT2107037
Register Paper ID - 209394
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2107037 and DOI :
Author Country : Indian Author, India, 401107 , Mumbai, 401107 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2107037 Published Paper PDF: download.php?file=IJCRT2107037 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2107037.pdf
Title: IMAGE ENCRYPTION WITH CHAOTIC SYSTEM AND CML
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: a253-a256
Year: July 2021
Downloads: 1492
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
Image-Encryption, Cryptosystem, Image-Decryption, Coupled Mapped Lattice, Chaotic System, Fractional- Order Chaotic System, Permutation and Diffusion, Secret Key.
Paper Title: COMPREHENSIVE ASSESSMENT OF VARIOUS TECHNIQUES FOR BIOMEDICAL WASTE MANAGEMENT
Author Name(s): Dr. Simerjit Kaur, Monami Kundu, Alice Sikhan
Published Paper ID: - IJCRT2107036
Register Paper ID - 209552
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2107036 and DOI : http://doi.one/10.1729/Journal.27535
Author Country : Indian Author, India, 140104 , Sector-127, Kharar, Punjab, Pin-140301, 140104 , | Research Area: Life Sciences All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2107036 Published Paper PDF: download.php?file=IJCRT2107036 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2107036.pdf
Title: COMPREHENSIVE ASSESSMENT OF VARIOUS TECHNIQUES FOR BIOMEDICAL WASTE MANAGEMENT
DOI (Digital Object Identifier) : http://doi.one/10.1729/Journal.27535
Pubished in Volume: 9 | Issue: 7 | Year: July 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Life Sciences All
Author type: Indian Author
Pubished in Volume: 9
Issue: 7
Pages: a245-a252
Year: July 2021
Downloads: 1446
E-ISSN Number: 2320-2882
ABSTRACT: This review article deals with the comprehensive study on various techniques being adopted for biomedical waste management for the safe disposal as if not treated at the appropriate time using appropriate methods, biomedical waste can cause havoc in the environment and for human health. The purpose of this study is to acquire an in-depth knowledge of the various treatment methods for different categories of medical waste management and their underlying technologies and to observe the impact of biomedical waste mismanagement; also to ascertain the level of progress made by India in this field. The research methodologies used are the combination of literature review, key informant interview and case studies. Biomedical waste is the waste generated during medical activities in hospitals & Clinics, biological laboratory work or research work. It is essential to classify the waste into different categories for ease of scientific biomedical waste management. The biomedical waste can be categorized in to four types, namely, general, infectious, hazardous and radioactive and accordingly strategies being adopted for its safe disposal. General medical waste is non-toxic matter similar to domestic waste. Infectious waste are the materials which have the potency to spread contagious diseases, these waste have been in contact with body fluids. Hazardous waste like used syringes; old drugs etc. can be ignitable, corrosive, reactive, or even toxic to human health. Radioactive waste is produced from nuclear medicine treatment, chemotherapies, radiation therapies, and medical equipment that use radioactive isotopes. These wastes should be treated with utmost care as a fraction of radioactive material can initiate a biohazard. Studies estimate that 15% biomedical waste is infectious in nature and hazardous waste accounts for 5%of the quantity. For hazardous and radioactive medical waste management, we should have a cradle to grave approach. Effective management is mandatory for healthy human sustenance and a clean environment, failure of which can lead to catastrophic damage to human health at mass level.
Licence: creative commons attribution 4.0
Keywords: Biomedical waste, Environmental Toxicity, Hazardous waste, Contagious waste management, Radioactive waste management
Paper Title: DIGITAL ECONOMY AND INDIAN SOCIETY
Author Name(s): Neeraj Kumar Rai
Published Paper ID: - IJCRT2107035
Register Paper ID - 209576
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2107035 and DOI :
Author Country : Indian Author, India, 230138 , Pratapgarh, 230138 , | Research Area: Social Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2107035 Published Paper PDF: download.php?file=IJCRT2107035 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2107035.pdf
Title: DIGITAL ECONOMY AND INDIAN SOCIETY
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: a241-a244
Year: July 2021
Downloads: 1400
E-ISSN Number: 2320-2882
Digital economy changing the ways of doing conventional business and different inter relationship of businesses. How business firms are providing and receiving services to each other are now completely change. Digital economy made a new shape and understanding of business that facilitates consumer services. It is important to understand different aspects of digital economy especially in context of India. This research paper is based on secondary sources.
Licence: creative commons attribution 4.0
Digital economy, Indian Society, Virtual Shop, Digital India
Paper Title: CUSTOMER SEGMENTATION USING MACHINE LEARNING
Author Name(s): Krishnaveni K P, Blessy Paul P
Published Paper ID: - IJCRT2107034
Register Paper ID - 209575
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2107034 and DOI :
Author Country : Indian Author, India, 680562 , Thrissur, 680562 , | Research Area: Other area not in list Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2107034 Published Paper PDF: download.php?file=IJCRT2107034 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2107034.pdf
Title: CUSTOMER SEGMENTATION USING MACHINE LEARNING
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 7 | Year: July 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: 7
Pages: a236-a240
Year: July 2021
Downloads: 1784
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
Customer segmentation, Segments, Machine Learning, K-means clustering.
Paper Title: BOLD, ASSERTIVE AND SIGNIFICANT VOICES OF BHAKTI WOMEN SAINT POETS
Author Name(s): Anika Singh
Published Paper ID: - IJCRT2107033
Register Paper ID - 209435
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2107033 and DOI :
Author Country : N, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2107033 Published Paper PDF: download.php?file=IJCRT2107033 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2107033.pdf
Title: BOLD, ASSERTIVE AND SIGNIFICANT VOICES OF BHAKTI WOMEN SAINT POETS
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: N
Pubished in Volume: 9
Issue: 7
Pages: a224-a235
Year: July 2021
Downloads: 1580
E-ISSN Number: 2320-2882
In the early Sangam phase, taboos pertaining to determination of purity or impurity given the biological process concerning a female body were almost nill. Whereas in the late Sangam literature, we come across references pertaining to the inferiority of the fairer sex, determined on the basis of biological distinctions.
Licence: creative commons attribution 4.0
BOLD, ASSERTIVE AND SIGNIFICANT VOICES OF BHAKTI WOMEN SAINT POETS
Paper Title: SECURE ROUTING PERFORMANCE USING TRUST MODEL IN MANET
Author Name(s): K.Divya, Dr. B.Srinivasan
Published Paper ID: - IJCRT2107032
Register Paper ID - 209479
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2107032 and DOI :
Author Country : N, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2107032 Published Paper PDF: download.php?file=IJCRT2107032 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2107032.pdf
Title: SECURE ROUTING PERFORMANCE USING TRUST MODEL IN MANET
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: N
Pubished in Volume: 9
Issue: 7
Pages: a212-a223
Year: July 2021
Downloads: 1478
E-ISSN Number: 2320-2882
MANET is utilized in many fields because of its advantage in quickly establishing networks. The network will perform well if mobile nodes trust each other and act cooperatively. However, dynamic topology characteristics and frequent connection failures by the movement of nodes make routing difficult and cause vulnerability to be easily exposed. Therefore, the routing provided in the MANET should have security features that can reduce the damage to various attacks. For this, in this paper, it is proposed for a trust evaluation method of nodes using cluster structure and a secure data transmission technique through key exchange without CA. The proposed technique adopted a hierarchical structure to enhance the efficiency of the reliability evaluation of nodes. The reliability measurement reflects the quality of packets as well as the number of packets and the measured reliability is maintained by the trust management node. The integrity of the data transmission is improved through key exchange without CA between the nodes. In order to increase the efficiency of routing, anomaly nodes are detected by DSN checking of nodes that generate excessive traffic on the path when data is transmitted.
Licence: creative commons attribution 4.0
MANET, Routing Protocols, Trust based, DSR, SAODV.
Paper Title: NO FINES CONCRETE
Author Name(s): DNYANESHWAR LAXMAN PAWAR, VINAYAK RAJENDRA DALVI, AKSHAY MANOHAR WALHEKAR, YOGITA B. DAHATONDE, RACHNA K. VAIDYA
Published Paper ID: - IJCRT2107031
Register Paper ID - 209564
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2107031 and DOI :
Author Country : Indian Author, India, 411033 , PUNE, 411033 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2107031 Published Paper PDF: download.php?file=IJCRT2107031 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2107031.pdf
Title: NO FINES CONCRETE
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: a207-a211
Year: July 2021
Downloads: 1523
E-ISSN Number: 2320-2882
No-fines concrete is used nowadays as special concrete. This concrete is eliminating the use of fine aggregates in normal concrete. It is specially used in pavement blocks which are used in Industrial area. Its higher porosity helps in permeating rain water directly helps in refreshing groundwater aquifer. This concrete has high porosity due to this behavior relative density is lower than normal concrete. This is also reducing dead weight in the structure. The compressive strength of this concrete is also lower than normal concrete. This concrete is mix with different ratios of aggregate/cement and it helps find different properties like chemical, physical and mechanical.
Licence: creative commons attribution 4.0
No-fines concrete, Compressive strength, Tensile strength, porous concrete.
Paper Title: STOCK MARKET PREDICTION BASED ON SOCIAL SENTIMENTS USING MACHINE LEARNING
Author Name(s): RUSHALI BHANUDAS PANSARE, SWAPNALI SATISH LAHANE, SHARDA DEVANAND SHINDE, NIKITA SAMPAT SHINDE, PRATIBHA KASHID
Published Paper ID: - IJCRT2107030
Register Paper ID - 209490
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2107030 and DOI :
Author Country : Indian Author, India, 422102 , nashik, 422102 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2107030 Published Paper PDF: download.php?file=IJCRT2107030 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2107030.pdf
Title: STOCK MARKET PREDICTION BASED ON SOCIAL SENTIMENTS USING MACHINE LEARNING
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: a203-a206
Year: July 2021
Downloads: 1418
E-ISSN Number: 2320-2882
Machine learning and artificial intelligence techniques are being used to solve many real world problems. These techniques are highly effective, minimal effort and saving huge amount of time. Now people are invested in stock market or share market for yielding huge amount of money. Stock market is association of buyers and sellers. But in stock market, any time the stock value will grow or down according to the economic trends. So these changes could affect your share value and some times that decreases your profit. So stock market prediction is very necessary for avoiding this loss. We will propose a system that predicts the stock market value based on social sentiments using machine learning. We will collect the tweets from twitter API and Social media data to perform sentiment analysis and at same time collect data from Social media . Then find the correlation of historical data and extracted twitter data. This relational value used to determine the predicted outcome. This prediction system could greatly help stock investors in taking desired decision which could affect the profit of stock.
Licence: creative commons attribution 4.0
machine learning, sentiment analysis, twitter API, Social Media Data, stock market prediction.

