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Volume 9 | Issue 7

Volume 9 | Issue 7 | Month  
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  Paper Title: THE SARAHU NEW 07 MODERN CERTIFICATES WONDERS OF THE WORLD

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT21X0002

  Your Paper Publication Details:

  Published Paper ID: - IJCRT21X0002

  Register Paper ID - 209843

  Title: THE SARAHU NEW 07 MODERN CERTIFICATES WONDERS OF THE WORLD

  Author Name(s): Sarahu Nagarazan (Lord Sarahunaath)

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 7

 Pages: a190-a384

 Year: July 2021

 Downloads: 377

 Abstract


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Art and Humanities

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  Paper Title: THE SARAHU NEW 07 LITERATURE WONDERS OF THE WORLD

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT21X0001

  Your Paper Publication Details:

  Published Paper ID: - IJCRT21X0001

  Register Paper ID - 209841

  Title: THE SARAHU NEW 07 LITERATURE WONDERS OF THE WORLD

  Author Name(s): Sarahu Nagarazan (Lord Sarahunaath)

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 7

 Pages: a1-a189

 Year: July 2021

 Downloads: 362

 Abstract


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Art and Humanities

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  Paper Title: SAJNASUTRA-SANCHARANVIDHIH

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2107740

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2107740

  Register Paper ID - 211444

  Title: SAJNASUTRA-SANCHARANVIDHIH

  Author Name(s): Dr. Giridhari Panda

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 7

 Pages: g814-g817

 Year: July 2021

 Downloads: 68

 Abstract

Abstract (???????) - ???????????????????? ?????? ?????????????? ?????? ???? ???? ?????????????? ????????? ????????? ?????? ??????? ????? ????????????? ? ????????????????????? ???????????????????? ???????? ??????? ????????? ????????? ??????? ???? ???????? ???????? ?????? ?????????????, ??????? ? ??? ??????? ???????? ???????, ??????? ??????? ?????????, ?????? ?? ???????????? ??????????????? ?? ??????????? ?????????????? ?????????????? ?????, ???? ??????????? ?????????????? ?????? ??? ????????? ???????? ?????????? ???????????? ??????????? ???????????????????? ?????????????? ???? ???????????????????????? ?????, ????? ????????????? ?????? ??????????? ???????????????????????????????? ??????? ? ??????????? ????????????????????? ??????????????????? ??????? ??????? ????????????? ?????? ??? ?? ????????? ??????????????? ??????????????? ??? ?????? ???????? ???????????? ?????????? ??????? ???????? ???????? ?????? ??????????????????? ????? ???? ??????????????? ???????? ??? ????? ?????? ???????????? ?????? ? ??????????????? ?????????????? ???????????? ????????????? ? ??????? ???????? ?????????? ????? ??? ????? ????????????????? ???? ???????????????? ????????????? ????????? ????????????? ????????? ?????????????????? ? ???????? ????? ?????????????? ??? ????? ??????????????? ??? ??????? ??????????? ????????? ??????? ?????????????? ?????????????? ??? ????????????????? ?????????????? ???????? ?????? ?????????????? ?????????????? ?????????? ????????????? ? ???????????????????? ?????????????? ?????????? ????????


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Key Words- ???????,??????,???????,??????????????????????, ??????????????????????

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  Paper Title: MEDICAL IMAGE COMPRESSION USING DISCRETE WAVELET TRANSFORMATION (DWT)

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2107739

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2107739

  Register Paper ID - 211119

  Title: MEDICAL IMAGE COMPRESSION USING DISCRETE WAVELET TRANSFORMATION (DWT)

  Author Name(s): GAJJELA DURGA RAO, V.SARALA

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 7

 Pages: g808-g813

 Year: July 2021

 Downloads: 114

 Abstract


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MEDICAL IMAGE COMPRESSION USING DISCRETE WAVELET TRANSFORMATION (DWT)

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  Paper Title: AUTOMATIC DATABASE SCHEMA GENERATION TOOL FOR EXECUTING SQL QUERIES

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2107738

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2107738

  Register Paper ID - 211118

  Title: AUTOMATIC DATABASE SCHEMA GENERATION TOOL FOR EXECUTING SQL QUERIES

  Author Name(s): DASARI HEMA PRASANTH, V.SARALA

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 7

 Pages: g800-g807

 Year: July 2021

 Downloads: 113

 Abstract

The Automatic Database Schema Generation is a framework, which permits the engineers to concentrate on making the database utilizing the GUI interface .The client needs to satisfy the necessities in the interface and he can play out the database tasks which he needs and can make the database. This task focuses on making of a programmed database outline age. This task will be available to all designers and its office permits engineers to concentrate on making the database pattern based on JSP while letting the application worker characterize table dependent on the fields in JSP and connections between them. This framework gives the accompanying offices. This encourages the client to concentrate much on application viewpoints deserting the database aspects. This venture permits clients to create database composition age without having a lot of information on database aspects.


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Automatic, Database, Schema, Generation

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  Paper Title: SECURITY OF WEB PAGES USING CAPTCHA TECHNIQUE

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2107737

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2107737

  Register Paper ID - 211117

  Title: SECURITY OF WEB PAGES USING CAPTCHA TECHNIQUE

  Author Name(s): DASARI BENRJEE, V.SARALA

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 7

 Pages: g790-g799

 Year: July 2021

 Downloads: 115

 Abstract

In general for most of the web sites, there will be registration page for creating a profile and all the details need to be filled by the user who wish to register. But in some conditions the user may miss some fields empty and at that situation robots try to enter their illegal contents inside those fields and change the original contents. Hence there is no proper authentication for web pages in order to identify whether they are filled by user or robots. This project is a solution for improving the security of web forms from web bots (robots). This project delivers the best result than the existing system. The emphasis is on the CAPTCA (Completely Automated Public Turing test to tell Computers and Humans Apart) method that is most often used method. We are implementing a security method in java web programming.


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SECURITY OF WEB PAGES USING CAPTCHA TECHNIQUE

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  Paper Title: DESIGN AND ANALYSIS OF CLOUD DATA SECURITY FOR MASSES

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2107736

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2107736

  Register Paper ID - 210965

  Title: DESIGN AND ANALYSIS OF CLOUD DATA SECURITY FOR MASSES

  Author Name(s): NAKARABOYINA SANKAR, L. SOWJANYA

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 7

 Pages: g777-g789

 Year: July 2021

 Downloads: 139

 Abstract

In present days cloud has gained a lot of importance in storing and accessing the information through remote locations with the help of internet .The primary advantage of adopting this cloud computing domain for business and firms is mainly because the service can be accessed from anywhere, time independent and remote access with the help of secure internet connection. Since this was mostly adopted by several clients for storing and accessing their valuable information still it is having a problem like data theft to misuse the sensitive data by modifying the content illegally. Here we try to design DSaaS (Data Security as a Service) by integrating two main techniques called Data Encryption and Verification using TPA (Third Party Auditor) in order to protect the data from un-authorized users. This DSaaS service offered by a cloud platform enforces data security and privacy to data owners, even if there are any compromised applications or users present within the cloud storage .


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DESIGN AND ANALYSIS OF CLOUD DATA SECURITY FOR MASSES

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Creative Commons Attribution 4.0 and The Open Definition

  Paper Title: SECURING PATIENTS DATA STORAGE IN REAL WORLD CLOUD

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2107735

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2107735

  Register Paper ID - 211081

  Title: SECURING PATIENTS DATA STORAGE IN REAL WORLD CLOUD

  Author Name(s): RALLABANDI SRI LAKSHMI KAMESWARI, L. SOWJANYA

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 7

 Pages: g768-g776

 Year: July 2021

 Downloads: 125

 Abstract

In current days cloud has gotten one of the entrancing area so as to store and recover all the information from the distant machines rather from the neighborhood machines. With the notoriety of wearable gadgets, alongside the improvement of mists and cloud hand held innovation, there is a colossal increment for the clinical consideration so as to store and access the data distantly. Because of the rising innovation every single clinical organization attempt to store and access data inside the cloud worker, which leaves a way for the gatecrasher to hack the information un-approved way. So in this paper we attempt to recognize the gatecrasher who attempt to change or adjust the patient data illicitly during information stockpiling.


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emerging technology, cloud server, hack , unauthorized manner.

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  Paper Title: SECURITY DATA IN INTERNET OF THINGS USING CRYPTOGRAPHY AND STEGANOGRAPHY TECHNIQUES

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2107734

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2107734

  Register Paper ID - 210975

  Title: SECURITY DATA IN INTERNET OF THINGS USING CRYPTOGRAPHY AND STEGANOGRAPHY TECHNIQUES

  Author Name(s): KOTA JAYA SRI, B.SURYANARAYANA MURTHY

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 7

 Pages: g757-g767

 Year: July 2021

 Downloads: 134

 Abstract

Internet of Things (IoT) is a domain wherein which the transfer of data is taking place every single second. The security of these data is a challenging task; however, security challenges can be overcome with cryptography and steganography techniques. These techniques are crucial when dealing with user authentication and data privacy. In the proposed work, the elliptic Galois cryptography protocol is introduced and discussed. In this protocol, a cryptography technique is used to encrypt confidential data that came from different medical sources. Here we try to encrypt the Image and send through network from sender to receiver.


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Internet of Things, cryptography, steganography, Image, Encryption, Decryption

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  Paper Title: INTRUSION DETECTION USING DANGER OR NORMAL MODE

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2107733

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2107733

  Register Paper ID - 211077

  Title: INTRUSION DETECTION USING DANGER OR NORMAL MODE

  Author Name(s): KOMMANA LAKSHMI NARAYANA, B.SURYANARAYANA MURTHY

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 7

 Pages: g738-g756

 Year: July 2021

 Downloads: 122

 Abstract

Now a days there is a huge demand and interest in using path identifiers (PIDs) for data communication .These PIDs act as a inter-domain routing objects to avoid distributed denial-of service (DDoS) attacks. As we all know that path identifer are designed earlier , those are static in nature and hence it is very easy for the attackers to create any attack on a fixed path. To address this issue, in this present application we try to design and implement a novel path identifiers for data communication like dynamic D-PID, a framework that is not at all implemented in any DTNs till today. In DPID, the PID of an inter-domain path connecting two domains is kept secret and changes dynamically, so there is no chance for any attacker to identify which path the data is travelling and he cant able to convert nodes into faulty state. We simulated our application using socket programming language along with java network package to verify the effectiveness and cost. The results from both simulations and experiments show that dynamic nature of identifying faulty nodes and providing alternate path for data transfer can effectively prevent DDoS attacks.


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INTRUSION DETECTION USING DANGER OR NORMAL MODE

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  Paper Title: DETECT AND IDENTIFY THE SHAMEFUL TWEETS ON TWITTER SOCIAL NETWORK

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2107732

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2107732

  Register Paper ID - 211069

  Title: DETECT AND IDENTIFY THE SHAMEFUL TWEETS ON TWITTER SOCIAL NETWORK

  Author Name(s): BATHINA VIJAY KUMAR, K.RAMBABU

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 7

 Pages: g730-g737

 Year: July 2021

 Downloads: 123

 Abstract

Nowadays almost all the users try to exchange their day to day updates in their life on online social networks like Facebook, Twitter, and a lot more. In general, the users want to tweet on some friend's tweets either in a positive manner or in a negative manner based on their original feelings. In a recent survey report, there are a lot of posts that are contained in shameful tweets with some shameful related comments and replies. These tweets may contain some times information about political, social, and financial life with some shameful related messages, hence there is no method to identify these types of tweets automatically and try to display these tweets separately. Hence in this proposed application, we try to design a new method that can able to identify the tweets and its inner meaning of those tweets and try to categorize the tweets into separate categories like positive, negative, and shameful. Here we try to use Feature Extraction Method along with SVM Classifier algorithm for classifying the shameful tweets and normal tweets individually.


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DETECT AND IDENTIFY THE SHAMEFUL TWEETS ON TWITTER SOCIAL NETWORK

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  Paper Title: PLANT DISEASE IDENTIFICATION USING MACHINE LEARNING ALGORITHMS

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2107731

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2107731

  Register Paper ID - 211073

  Title: PLANT DISEASE IDENTIFICATION USING MACHINE LEARNING ALGORITHMS

  Author Name(s): BORRA PRASANTHI, V.SARALA

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 7

 Pages: g716-g729

 Year: July 2021

 Downloads: 109

 Abstract

The Machine Learning (ML) field has gained its momentum in almost any domain of research and just recently has become a reliable tool in the medical domain. Identification of the plant diseases is the key to prevent the losses in the yield and quantity of the agricultural product. The studies of the plant diseases mean the study of visually observed patterns seen on the plant. Health monitoring and disease detection on the plant is very critical for the substantial growth. It is very difficult to identify the diseases on the plant manually and provide the treatment for that appropriate disease. It requires a tremendous amount of work experience and should be expertise in the plant diseases and also requires excessive time for processing. Here in this proposed application we try to find out the disease of the plant based on the inputs which we observe physically on any plant. For any plant there are 5 levels of disease occurrences: Stem Level, Leaves Level, Seed Level,Lessions Level, Plant Level. So any disease on the plant can be either of these five levels. We try to design an medical dictionary in which all the physical inputs are substituted according to any of the level and then try to detect which disease plant is suffered with and it will try to provide cure for that appropriate disease. Our evaluation results on the proposed method using ML approach for identifying diseases on plant able to identify the diseases accurately and try to provide a solution for the end users.


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Plant Diseases, Machine Learning, Medical Diseases

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  Paper Title: ONLINE SHOPPING PREDICTION USING TRUSTABILITY GRAPH

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2107730

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2107730

  Register Paper ID - 211007

  Title: ONLINE SHOPPING PREDICTION USING TRUSTABILITY GRAPH

  Author Name(s): SIRIPARAPU RAMYA, K.VENKATESH

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 7

 Pages: g707-g715

 Year: July 2021

 Downloads: 114

 Abstract

Online shopping and opinion mining have gained more and more importance due to the emergence of the world wide web and a lot of e-commerce web sites. As we as a whole realize that clients are attempting to buy every single thing through online as opposed to visiting the shops legitimately for those things. Online business is becoming quicker than anticipated all things considered up over 98% analyzed before. As clients have the simplicity to purchase things without investing a lot of energy there are additionally a few hoodlums who attempt to extortion and get benefit in unlawful manners. As individuals are getting a charge out of the focal points from web based exchanging, programmers are additionally taking favorable circumstances to achieve criminal operations against certified clients so as to get deceptive benefit. In this paper we mainly design a online model which can able to detect and identify the user reviews in early manner based on users individual reviews and opinions for the products. Finally we show that this model can probably distinguish primitive e-commerce sites and current site and extensively decrease customer complaints which are based on real-world online fraud detection.


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Real World, Online Fraud Detection, Reviews, Early Reviews , Individual, Online Model,Pro-Active.

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  Paper Title: FUNDAMENTAL VISUAL CONCEPT LEARNING FROM CORRELATED IMAGES AND TEXT ANNOTATION

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2107729

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2107729

  Register Paper ID - 210970

  Title: FUNDAMENTAL VISUAL CONCEPT LEARNING FROM CORRELATED IMAGES AND TEXT ANNOTATION

  Author Name(s): GAJJELA DURGA RAO, V.SARALA

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 7

 Pages: g700-g706

 Year: July 2021

 Downloads: 119

 Abstract

Heterogeneous web media consists of many visual concepts, such as objects, scenes and activities, that cannot be semantically decomposed. The task of learning fundamental visual concepts (FVCs) plays an important role in automatically understanding the elements that compose all visual media, as well as in applications of retrieval, annotation, etc.In this project we try to apply annotations for all the images which are uploaded in the online web by taking neighboring concept distributing (NCD) attribute ,in which those which are having some similar difference will be added with same type of annotation and then they are tagged.


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FUNDAMENTAL VISUAL CONCEPT LEARNING FROM CORRELATED IMAGES AND TEXT ANNOTATION

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  Paper Title: GIVING BACK TO SOCIETY: CORPORATE SOCIAL RESPONSIBILITY AT NALCO AND IMFA

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2107728

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2107728

  Register Paper ID - 210895

  Title: GIVING BACK TO SOCIETY: CORPORATE SOCIAL RESPONSIBILITY AT NALCO AND IMFA

  Author Name(s): Surama Mohanty, Dr. Bidhu Bhusan Mishra

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 7

 Pages: g684-g699

 Year: July 2021

 Downloads: 159

 Abstract

GIVING BACK TO SOCIETY: CORPORATE SOCIAL RESPONSIBILITY AT NALCO AND IMFA


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GIVING BACK TO SOCIETY: CORPORATE SOCIAL RESPONSIBILITY AT NALCO AND IMFA

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  Paper Title: A STUDY ON EFFECTIVENESS OF TRAINING PROGRAMME AT HCL PERIPHERALS.,THATTANCHAVADY PUDUCHERRY

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2107727

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2107727

  Register Paper ID - 210182

  Title: A STUDY ON EFFECTIVENESS OF TRAINING PROGRAMME AT HCL PERIPHERALS.,THATTANCHAVADY PUDUCHERRY

  Author Name(s): S SONIYA

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 7

 Pages: g677-g683

 Year: July 2021

 Downloads: 288

 Abstract

Training is a learning experience, in that it seeks a relatively permanent change in an individual which will improve his (or) her ability to perform on the job. We typically say training can change the skill, knowledge, attitude and social behavior. It means changing what employees know, how they work, their attitude towards their work or their interaction with their co-workers or their supervisors.


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Perform, Interaction, Behavior, Leadership

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  Paper Title: INFLUENCE OF CREATIVE ADVERTISEMENTS ON CUSTOMER LOYALTY IN BANKING SECTOR

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2107725

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2107725

  Register Paper ID - 210747

  Title: INFLUENCE OF CREATIVE ADVERTISEMENTS ON CUSTOMER LOYALTY IN BANKING SECTOR

  Author Name(s): Divya Mamtani, Dr. Preeti Singh

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 7

 Pages: g662-g671

 Year: July 2021

 Downloads: 198

 Abstract

Now a days, creative advertisements plays very significant role to achieve the success among competitive advertising. Creative advertisements are helpful in generating a favourable response from consumers and build long term relationship with them. The purpose of this research is to identify the key factors of creative advertisements on customer loyalty in banking sector. This study will be beneficial to understand the perspective of consumers towards loyalty. The study is conducted among 147 individuals in the city of Indore to find out their perception towards creative advertisements. The study is based on primary data that were collected through closed ended questionnaire. The results were analysed with the help of factor analysis and regression analysis. Results of this study can help marketers, organizations and advertisers in formulating effective strategies to engage with the target market.


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Creative advertisements, Customer loyalty, Consumers, Organizations, Advertisers, Effective strategies

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  Paper Title: A SYSTEMATIC REVIEW OF THE APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN AUTOIMMUNE DISEASES

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2107724

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2107724

  Register Paper ID - 210810

  Title: A SYSTEMATIC REVIEW OF THE APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN AUTOIMMUNE DISEASES

  Author Name(s): Ishaq Azhar Mohammed

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 7

 Pages: g658-g661

 Year: July 2021

 Downloads: 178

 Abstract

The purpose of this study is to present an overview of how artificial intelligence (AI) might be utilized to solve health problems caused by autoimmune illnesses. More than 80 kinds of autoimmune disorders impact a wide array of areas of the body. Diagnosis may sometimes be challenging since these symptoms might mimic those of other more prevalent diseases. Autoimmune system diseases are characterized by either unusually low or excessive immune system activities [1]. When the immune system becomes too active, the body fights and destroys its tissues. Immune deficiency disorders weaken the body's capacity to combat intruders and make infection vulnerable. The immune system may produce antibodies in reaction to an unexpected cause, which targets their tissues rather than combat infection. In general, autoimmune disorders are treated by decreasing immune system activation [1]. In the last decade, the treatment plan for self-immune illnesses has changed significantly, leading mainly from precision medicine to precise health and from precise efforts in the healthcare system [1,2]. To comprehend and apply these methods pragmatically, the motivations, gaps, and limits of precision medicine need to be understood. The importance of earning the confidence of the people and patients cannot be overstated, but it is important to recognize that innovations like artificial intelligence still necessitate context, which can only be made available by human intervention, or what is known as augmented machine learning.


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Artificial Intelligence, Autoimmune diseases, Biomarkers, machine learning, genetics, genomes

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  Paper Title: ACCURACY ANALYSIS USING MACHINE LEARNING CLASSIFIERS FOR HARDWARE TROJAN DETECTION

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2107722

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2107722

  Register Paper ID - 210432

  Title: ACCURACY ANALYSIS USING MACHINE LEARNING CLASSIFIERS FOR HARDWARE TROJAN DETECTION

  Author Name(s): Mrs.V.Sree Lahari, R. Bharathi Jyothi, P. S. S. Keerthi, S. Sireesha, P. Krishna Priya

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 7

 Pages: g646-g652

 Year: July 2021

 Downloads: 292

 Abstract


Licence: creative commons attribution 4.0

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 Keywords

Feature Extraction,Random Forest Algorithm,Ada Boost Classifier,Decision Tree Algorithm, Gradient Boosting Algorithm, Decision Fusion

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  Paper Title: VARIOUS FINANCIAL DIMENSIONS OF INDIAN MUSIC

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2107721

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2107721

  Register Paper ID - 210569

  Title: VARIOUS FINANCIAL DIMENSIONS OF INDIAN MUSIC

  Author Name(s): Ruma Chakraborty

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 7

 Pages: g642-g645

 Year: July 2021

 Downloads: 226

 Abstract

Music is the best gifted art of nature. The character of music is pervasive in every particle of nature, which is experienced continuously through life. It is an integral part of human life. Even, every person in the society is associated with music in some way or the other. In ancient times, the main purpose of performing music was to worship God and to entertain the general public. In the present time, many changes are seen in the field of music, as a result of which music has emerged as a major role in various other financial dimensions, not being limited to entertainment and God worship. Since, the scope of our Indian Music is very wide, it also creates different dimensions of employment. In this article, we will discuss how many such dimensions of music are there, which help an artist to earn money.


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 Keywords

Stage Performance, Playback Singing, Drama, Music Therapist

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Creative Commons Attribution 4.0 and The Open Definition



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About IJCRT

The International Journal of Creative Research Thoughts (IJCRT) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world.


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International Journal of Creative Research Thoughts (IJCRT)
ISSN: 2320-2882 | Impact Factor: 7.97 | 7.97 impact factor and ISSN Approved.
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