ISSN Approved Journal No: E-ISSN 2348-1269, P- ISSN 2349-5138
Journal ESTD Year: 2014
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The INTERNATIONAL JOURNAL OF RESEARCH AND ANALYTICAL REVIEWS (IJRAR) 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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Subject Category : Multidisciplinary, Monthly scholarly open access journals
Call For Paper (Volume 11 | Issue 2 | Month- April 2024)Paper Title: CULTURAL CONFLICTS IN SOCIAL MEDIA LITERATURE: AN ANALYTICAL STUDY
Publisher Journal Name: IJRAR, IJPUBLICATION
DOI Member: 10.6084/m9.doi.one.IJRAR24B1001 Published Paper URL: http://ijrar.org/viewfull.php?&p_id=IJRAR24B1001 Published Paper PDF: download.php?file=IJRAR24B1001 Published Paper PDF: http://www.ijrar.org/papers/IJRAR24B1001.pdf
Published Paper ID: - IJRAR24B1001
Register Paper ID - 285970
Title: CULTURAL CONFLICTS IN SOCIAL MEDIA LITERATURE: AN ANALYTICAL STUDY
Author Name(s): Dr.Nagendra Kumar D N, Dr.B.S.Puttaswamy
Publisher Journal name: IJRAR, IJPUBLICATION
DOI (Digital Object Identifier) :
Pubished in Volume: 11 | Issue: 2 | Year: April 2024
Volume: 11
Issue: 2
Pages: 1-6
Year: April 2024
Subject Area: Arts All
Author type: Indian Author
Downloads: 107
CULTURAL CONFLICTS IN SOCIAL MEDIA LITERATURE: AN ANALYTICAL STUDY
Licence: creative commons attribution 4.0
EXPLORING THE EFFECTIVENESS OF INFLUENCER MARKETING IN PROMOTING BRAND AWARENESS
Paper Title: SAMSKRUTA SAAHITYESHU MRUGAPAKSHEENAAM BHAAVABHIVYAKTIHI
Publisher Journal Name: IJRAR, IJPUBLICATION
DOI Member: 10.6084/m9.doi.one.IJRAR24B1002 Published Paper URL: http://ijrar.org/viewfull.php?&p_id=IJRAR24B1002 Published Paper PDF: download.php?file=IJRAR24B1002 Published Paper PDF: http://www.ijrar.org/papers/IJRAR24B1002.pdf
Published Paper ID: - IJRAR24B1002
Register Paper ID - 276603
Title: SAMSKRUTA SAAHITYESHU MRUGAPAKSHEENAAM BHAAVABHIVYAKTIHI
Author Name(s): SHARADA
Publisher Journal name: IJRAR, IJPUBLICATION
DOI (Digital Object Identifier) :
Pubished in Volume: 11 | Issue: 2 | Year: April 2024
Volume: 11
Issue: 2
Pages: 7-11
Year: April 2024
Subject Area: Other
Author type: Indian Author
Downloads: 202
manushaihi saha mruganam abhivyaktehe saraha sahityeshu darshayati. saahityeshu aagamanaanam paatraanam vibhinneshu saahaayam.
Licence: creative commons attribution 4.0
Paper Title: CONSERVATION OF GROUND WATER
Publisher Journal Name: IJRAR, IJPUBLICATION
DOI Member: 10.6084/m9.doi.one.IJRAR24B1003 Published Paper URL: http://ijrar.org/viewfull.php?&p_id=IJRAR24B1003 Published Paper PDF: download.php?file=IJRAR24B1003 Published Paper PDF: http://www.ijrar.org/papers/IJRAR24B1003.pdf
Published Paper ID: - IJRAR24B1003
Register Paper ID - 285920
Title: CONSERVATION OF GROUND WATER
Author Name(s): Sagar Mahashabde
Publisher Journal name: IJRAR, IJPUBLICATION
DOI (Digital Object Identifier) :
Pubished in Volume: 11 | Issue: 2 | Year: April 2024
Volume: 11
Issue: 2
Pages: 12-17
Year: April 2024
Subject Area: Other area not in list
Author type: Indian Author
Downloads: 50
Alarming fall of ground water level which highlights the need of effective legislation to manage and regulate groundwater for the state of Maharashtra. Conservation of ground water starts by knowing by the process of law about existing number of wells/bore-wells and drilling of new wells/bore-wells and estimated extraction of ground water.
Licence: creative commons attribution 4.0
NEED OF EFFECTIVE LEGISLATION TO MANAGE AND REGULATE GROUNDWATER FOR THE STATE OF MAHARASHTRA
Paper Title: Use of E-Content for Enhancing the Level of Attainment of Grade Specific Learning Outcomes by 7th Grade Students in Geography
Publisher Journal Name: IJRAR, IJPUBLICATION
DOI Member: 10.6084/m9.doi.one.IJRAR24B1004 Published Paper URL: http://ijrar.org/viewfull.php?&p_id=IJRAR24B1004 Published Paper PDF: download.php?file=IJRAR24B1004 Published Paper PDF: http://www.ijrar.org/papers/IJRAR24B1004.pdf
Published Paper ID: - IJRAR24B1004
Register Paper ID - 285927
Title: USE OF E-CONTENT FOR ENHANCING THE LEVEL OF ATTAINMENT OF GRADE SPECIFIC LEARNING OUTCOMES BY 7TH GRADE STUDENTS IN GEOGRAPHY
Author Name(s): MAHESH KUMAR BEHERA
Publisher Journal name: IJRAR, IJPUBLICATION
DOI (Digital Object Identifier) :
Pubished in Volume: 11 | Issue: 2 | Year: April 2024
Volume: 11
Issue: 2
Pages: 18-28
Year: April 2024
Subject Area: Other area not in list
Author type: Indian Author
Downloads: 51
The educational system around the world is under increasing pressure to use new information and communication technology to acquaint students with the knowledge and information, they require in this techno savvy era. To develop a knowledge society, it is essential to integrate ICT at all levels of education system. E-content is a very powerful tool of education. It is the latest method of instruction that has attracted attention of learners and teachers of all instruction systems. It is the valuable resource for development of information rich society where everyone, irrespective of caste, religion, race, region and gender bias are empowered to create, receive, share and utilise information and knowledge for their economic, social, cultural and political upliftment and development. The present research paper focuses on the assessment of effectiveness of E-content for enhancing the level of attainment of grade specific learning outcomes by 7th grade students in Geography. The study was conducted using experimental method. The findings prove that experimental group students were better than the controlled group students which was reflected in the scores gained by students. Thus, it can be concluded that e-content proves to be a very useful tool to bring better conceptual clarity to some abstract concepts for attaining grade specific learning outcomes by students at the upper primary stage.
Licence: creative commons attribution 4.0
E-content, Learning Outcome, Geography
Paper Title: CERTIFICATE VERIFICATION SYSTEM USING BLOCKCHAIN AND CHATBOT
Publisher Journal Name: IJRAR, IJPUBLICATION
DOI Member: 10.6084/m9.doi.one.IJRAR24B1005 Published Paper URL: http://ijrar.org/viewfull.php?&p_id=IJRAR24B1005 Published Paper PDF: download.php?file=IJRAR24B1005 Published Paper PDF: http://www.ijrar.org/papers/IJRAR24B1005.pdf
Published Paper ID: - IJRAR24B1005
Register Paper ID - 285938
Title: CERTIFICATE VERIFICATION SYSTEM USING BLOCKCHAIN AND CHATBOT
Author Name(s): Tarun Kumar, Harsha Vardhan Reddy, Kadari Sathish, J. Lethisia Nithiya
Publisher Journal name: IJRAR, IJPUBLICATION
DOI (Digital Object Identifier) :
Pubished in Volume: 11 | Issue: 2 | Year: April 2024
Volume: 11
Issue: 2
Pages: 29-36
Year: April 2024
Subject Area: Science and Technology
Author type: Indian Author
Downloads: 55
The field of blockchain has advanced significantly during the last few years. The application of blockchain technology has the potential to completely transform education by giving people new, affordable, and creative methods to learn, as well as by changing how educators and students collaborate. Blockchain technology can also be used to issue digital certificates that are unchangeable. By making certificate verification processes faster, more dependable, and decentralized, blockchain technology can improve the current shortcomings of certificate verification systems. There is a lot of scholarly interest in this topic because of the use of blockchain in education. However, studies on the use of blockchain technology for academic credential verification are still in the early stages of development. stage. In this work, we focus on a thorough assessment of the literature on blockchainbased systems for academic degree verification in order to shed additional light on the area. Therefore, the goal of this survey is to gather all pertinent research into a systematic literature review that emphasizes the major contributions made throughout the years by different scholars, with an emphasis on the past, present, and future. Using the PRISMA framework, we have found 34 research that are relevant out of 1744 publications published between 2018 and 2022. In addition to identifying research gaps that the scientific community needs to fill and investigate, we highlighted six primary themes that were covered by the research publications that were analyzed.
Licence: creative commons attribution 4.0
: Blockchain platforms; smart contracts; automated certificate generation; systematic literature research; academic certificate verification; security and transparency; fraud prevention; ethereum
Paper Title: PREDICTING ELECTIONS THROUGH SENTIMENT ANALYSIS ON TWITTER
Publisher Journal Name: IJRAR, IJPUBLICATION
DOI Member: 10.6084/m9.doi.one.IJRAR24B1006 Published Paper URL: http://ijrar.org/viewfull.php?&p_id=IJRAR24B1006 Published Paper PDF: download.php?file=IJRAR24B1006 Published Paper PDF: http://www.ijrar.org/papers/IJRAR24B1006.pdf
Published Paper ID: - IJRAR24B1006
Register Paper ID - 285932
Title: PREDICTING ELECTIONS THROUGH SENTIMENT ANALYSIS ON TWITTER
Author Name(s): G Narasimha Rao, G Srihari, J Midhunkumar, G Gowthami, S Thaiyalnayaki
Publisher Journal name: IJRAR, IJPUBLICATION
DOI (Digital Object Identifier) :
Pubished in Volume: 11 | Issue: 2 | Year: April 2024
Volume: 11
Issue: 2
Pages: 37-41
Year: April 2024
Subject Area: Science and Technology
Author type: Indian Author
Downloads: 44
Social media's recent explosion has given individuals a strong platform on which to express their ideas. To understand user orientation and make better judgments, businesses (or similar entities) must determine the polarity of these viewpoints. One such use is in politics, where political organizations must comprehend public opinion in order to choose their approach to campaigning. Many people believe that sentiment analysis of social media data is a useful technique for keeping track of user inclinations and preferences. In order to perform sentiment analysis, supervised learning techniques--which are utilized in wellknown text classification algorithms like Naive Bayes and SVM--need a training data set. Both the volume and the quality (features and contextual significance) of the labeled training data affect the algorithms' accuracy. Most applications use cross domain sentiment analysis, which loses out on features pertinent to the target data, because they lack sufficient training data. Consequently, this reduces the overall text classification accuracy.
Licence: creative commons attribution 4.0
Vader, Twitter, sentiment analysis, text classification, training data, labeling, Passive aggression Classifier
Paper Title: Design and Analysis of IoT-Based Battery Management and Monitoring System for Electric Vehicle
Publisher Journal Name: IJRAR, IJPUBLICATION
DOI Member: 10.6084/m9.doi.one.IJRAR24B1007 Published Paper URL: http://ijrar.org/viewfull.php?&p_id=IJRAR24B1007 Published Paper PDF: download.php?file=IJRAR24B1007 Published Paper PDF: http://www.ijrar.org/papers/IJRAR24B1007.pdf
Published Paper ID: - IJRAR24B1007
Register Paper ID - 285940
Title: DESIGN AND ANALYSIS OF IOT-BASED BATTERY MANAGEMENT AND MONITORING SYSTEM FOR ELECTRIC VEHICLE
Author Name(s): V. Sindhu, G. Kalyani
Publisher Journal name: IJRAR, IJPUBLICATION
DOI (Digital Object Identifier) :
Pubished in Volume: 11 | Issue: 2 | Year: April 2024
Volume: 11
Issue: 2
Pages: 42-54
Year: April 2024
Subject Area: Science and Technology
Author type: Indian Author
Downloads: 36
The growing popularity of electric vehicles (EVs) on a worldwide scale led to further research to monitor their performance. The use of internet of things (IoT) technology will make it easier to integrate the automated real-time monitoring system with the current EV technology. The great majority of EVs use rechargeable lithium-ion batteries. Use of lithium-ion batteries creates an overcharging situation in the battery, which significantly decreases battery life. It also increases the possibility of disastrous safety risks due to fire. This paper develops an IoT- based battery management system (BMS) to minimize hazardous situations. The proposed BMS notifies the user about the condition of the battery in real time
Licence: creative commons attribution 4.0
Internet of Things (IoT), Battery life, EV user interface
Paper Title: EXPLORATORY DATA ANALYSIS FOR LOAN AMOUNT APPROVAL
Publisher Journal Name: IJRAR, IJPUBLICATION
DOI Member: 10.6084/m9.doi.one.IJRAR24B1008 Published Paper URL: http://ijrar.org/viewfull.php?&p_id=IJRAR24B1008 Published Paper PDF: download.php?file=IJRAR24B1008 Published Paper PDF: http://www.ijrar.org/papers/IJRAR24B1008.pdf
Published Paper ID: - IJRAR24B1008
Register Paper ID - 285965
Title: EXPLORATORY DATA ANALYSIS FOR LOAN AMOUNT APPROVAL
Author Name(s): G.Ravi Teja Reddy, G. Nandha Gopal, G. Ramesh, G. Trinadh, DR.Thirupurasundari
Publisher Journal name: IJRAR, IJPUBLICATION
DOI (Digital Object Identifier) :
Pubished in Volume: 11 | Issue: 2 | Year: April 2024
Volume: 11
Issue: 2
Pages: 55-60
Year: April 2024
Subject Area: Science and Technology
Author type: Indian Author
Downloads: 42
ABSTRACT-Technological advancements have significantly enhanced the quality of human life, introducing novel solutions to various challenges. In the realm of finance, where access to credit profoundly impacts individuals and businesses, predictive algorithms offer invaluable assistance. This study explores the application of machine learning algorithms such as logistic regression, random forest classifier, and support vector machine classifier to predict loan approval outcomes based on historical data. With a plethora of loan applications inundating financial institutions daily, the allocation of limited funds necessitates precise decision-making. By analyzing past patterns of creditworthiness, these algorithms aim to optimize the loan approval process, thereby minimizing risk and maximizing profitability for banks. The predictive models developed herein serve as tools for enhancing efficiency and accuracy in loan approval procedures, contributing to the continual improvement of the financial sector.
Licence: creative commons attribution 4.0
Machine learning, Data, Loan, Training, Testing, Prediction.
Paper Title: Energy Efficient Routing Algorithm with Mobile Sink Support for Wireless Sensor Network
Publisher Journal Name: IJRAR, IJPUBLICATION
DOI Member: 10.6084/m9.doi.one.IJRAR24B1009 Published Paper URL: http://ijrar.org/viewfull.php?&p_id=IJRAR24B1009 Published Paper PDF: download.php?file=IJRAR24B1009 Published Paper PDF: http://www.ijrar.org/papers/IJRAR24B1009.pdf
Published Paper ID: - IJRAR24B1009
Register Paper ID - 285931
Title: ENERGY EFFICIENT ROUTING ALGORITHM WITH MOBILE SINK SUPPORT FOR WIRELESS SENSOR NETWORK
Author Name(s): YADALA GOPICHAND, Vamshi Krishna .A, Y.Srikar, V.Guna Shekar, Mr.R.Muthu venkatakrishnan
Publisher Journal name: IJRAR, IJPUBLICATION
DOI (Digital Object Identifier) :
Pubished in Volume: 11 | Issue: 2 | Year: April 2024
Volume: 11
Issue: 2
Pages: 61-65
Year: April 2024
Subject Area: Science and Technology
Author type: Indian Author
Downloads: 34
Within the program program-described WBAN (SD-WBAN) structure, it's distant crucial to expand the community lifetime since of the kept quality of sensor hubs, and the combination prepare is one of the greatest electricity-consuming approaches in SD-WBAN. In this paper, a energetic and postpone-conscious set of rules is utilized in Cuckoo Look Optimization (CSO) to resolve various delays, bundle misfortunes and procure adaptability of SD-WBAN. In this bulletin, we are ready to require a see at a few security necessities in state-of-the-art WBAN-primarily based healthcare machine. Here we utilized mysterious verification convention to select confirmed customer in WBAN. A comfortable key administration gadget with arbitrary key dissemination (RKP) for comfortable communication. SNR, battery level and ASSULTIM number to choose out the course. Preparatory results appear that CSO employments an power and idleness administration strategy that accomplishes green transmission with tall execution in physical wi-fi systems in terms of compelling battery subject, bundle conveyance cost, quit-to-quit put off, throughput, and community lifetime
Licence: creative commons attribution 4.0
WBAN, SD-WBAN, Cuckoo Search Optimization (CSO), healthcare system, security requirements, anonymous authentication, random key distribution, sensor nodes, packet loss, delay, flexibility, energy efficiency, delay-aware routing, encryption, Feistel cipher, lightweight block cipher, body sensor networks, clustering, cluster head selection, LEACH protocol, energy-efficient routing, mobile sinks, network lifetime extension, throughput, delay analysis, node energy balancing, system architecture.
Paper Title: Assessment of Job Insecurity and workplace contentment of Indian IT workers using Deep Learning and Emotive Analysis
Publisher Journal Name: IJRAR, IJPUBLICATION
DOI Member: 10.6084/m9.doi.one.IJRAR24B1010 Published Paper URL: http://ijrar.org/viewfull.php?&p_id=IJRAR24B1010 Published Paper PDF: download.php?file=IJRAR24B1010 Published Paper PDF: http://www.ijrar.org/papers/IJRAR24B1010.pdf
Published Paper ID: - IJRAR24B1010
Register Paper ID - 285962
Title: ASSESSMENT OF JOB INSECURITY AND WORKPLACE CONTENTMENT OF INDIAN IT WORKERS USING DEEP LEARNING AND EMOTIVE ANALYSIS
Author Name(s): Amaresh Bose
Publisher Journal name: IJRAR, IJPUBLICATION
DOI (Digital Object Identifier) : http://doi.one/10.1729/Journal.38698
Pubished in Volume: 11 | Issue: 2 | Year: April 2024
Volume: 11
Issue: 2
Pages: 66-77
Year: April 2024
Subject Area: Science and Technology
Author type: Indian Author
Downloads: 43
Companies are placing a growing emphasis on enhancing employee satisfaction by allocating more financial resources towards this goal. The importance of job satisfaction is increasingly recognized worldwide. Prioritizing success is crucial, and the IT industry is renowned for its innovative approaches in integrating HR strategies to enhance employee satisfaction. The intricate interaction between demographic characteristics, views about job insecurity, and work environment elements is the central focus of this paper's examination of sentiment dynamics in the Indian IT industry. This study reveals the intricate connections that influence employees' experiences by utilizing deep learning techniques and statistical analytics. Tests and an industry-wide ANOVA have provided substantial evidence supporting the significance of age, gender, experience, and qualifications in relation to job insecurity. Sentiment analysis enhances the quantitative findings by incorporating an affective component. This study examines the impact of affective components on perceptions of leadership, opportunities for learning, and incentives in the workplace. By taking a two-pronged approach, people can learn more about how various demographics interact with these important workplace factors. This study utilizes advanced statistical methods and sentiment analysis techniques to explore the complex connections between demographic factors, workplace dynamics, and attitudes towards job insecurity. The results show that people's views of their own job security are greatly affected by a number of characteristics, such as their gender, age, experience, and education level. Results from ANOVA and robust testing corroborate this finding.
Licence: creative commons attribution 4.0
Sentiment analysis, deep learning, organizational assessment, job insecurity, demographic factors, work environment, Indian IT sector, emotional insights
Paper Title: ROLE OF YOGA IN LIFESTYLE
Publisher Journal Name: IJRAR, IJPUBLICATION
DOI Member: 10.6084/m9.doi.one.IJRAR24B1011 Published Paper URL: http://ijrar.org/viewfull.php?&p_id=IJRAR24B1011 Published Paper PDF: download.php?file=IJRAR24B1011 Published Paper PDF: http://www.ijrar.org/papers/IJRAR24B1011.pdf
Published Paper ID: - IJRAR24B1011
Register Paper ID - 282112
Title: ROLE OF YOGA IN LIFESTYLE
Author Name(s): Dr. Rajiv Bansal, Dr. Om Prakash Sharma
Publisher Journal name: IJRAR, IJPUBLICATION
DOI (Digital Object Identifier) :
Pubished in Volume: 11 | Issue: 2 | Year: April 2024
Volume: 11
Issue: 2
Pages: 78-83
Year: April 2024
Subject Area: Health Science All
Author type: Indian Author
Downloads: 93
Yoga is the science of contemporary life, of correct living, and it ought to be a part of our everyday existence. It is more than just a weekly, two-hour pastime class. Yoga has technological systems that support resilience, mental and physical energy harnessing, mind relaxation, and the development of an integrated personality. It serves as a means of achieving emotional equilibrium and achieving mental and physical harmony. Depending on their lifestyle, a person can select one or a mix of two or more of the several yoga paths, including hatha, bhakti, raja, jnana, and karma yoga. Asanas, relaxation, meditation, and pratyahara practices, along with adhering to social and personal disciplines, can all be practiced. It is up to each person to determine which route best fits their requirements, way of life, and personality. Yoga may be performed with a regular lifestyle, but with distinct goals, a different mindset, and a different outlook on life and the people in it.
Licence: creative commons attribution 4.0
Yoga, lifestyle, Health etc.
Paper Title: CONSUMERS BUYING BEHAVIOUR TOWARDS THE ORGANIC FOOD PRODUCTS IN CHENNAI CITY
Publisher Journal Name: IJRAR, IJPUBLICATION
DOI Member: 10.6084/m9.doi.one.IJRAR24B1012 Published Paper URL: http://ijrar.org/viewfull.php?&p_id=IJRAR24B1012 Published Paper PDF: download.php?file=IJRAR24B1012 Published Paper PDF: http://www.ijrar.org/papers/IJRAR24B1012.pdf
Published Paper ID: - IJRAR24B1012
Register Paper ID - 284668
Title: CONSUMERS BUYING BEHAVIOUR TOWARDS THE ORGANIC FOOD PRODUCTS IN CHENNAI CITY
Author Name(s): Mrs.R.RADHIKA, Dr. K. ELUMALAI
Publisher Journal name: IJRAR, IJPUBLICATION
DOI (Digital Object Identifier) :
Pubished in Volume: 11 | Issue: 2 | Year: April 2024
Volume: 11
Issue: 2
Pages: 84-96
Year: April 2024
Subject Area: Science and Technology
Author type: Indian Author
Downloads: 63
In India, organic food market is in emerging stage has experienced steadfast growth in the past few years. The current growth in the organic market is driven by health factor and safe consumption. Day to day the environmental concern is increasing, Health issues are becoming consumer's priorities to purchase the products. Also consumers are focusing on the quality aspect of the products as well as their impact on the environment. These are the main driving force while purchasing the organic products. Thus, this research study has been undertaken in Chennai and to focus the consumer buying behaviour towards organic products. Organic food is absolutely natural and is packed with load of viral nutrients which is required by the body. Hence, an attempt has been made to reveal the consumer buying behaviour towards organic products in Chennai City.
Licence: creative commons attribution 4.0
Food Products, Attitude of Consumers, Awareness, Buying Behaviour.