IJRAR(ISSN 2348 –1269, Print ISSN 2349-5138 ) | UGC Approved Journal | UGC Journal | UGC

International Journal of Research and Analytical Reviews (IJRAR)

International Peer Reviewed, Open Access Journal

E-ISSN 2348-1269, P- ISSN 2349-5138 | 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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INTERNATIONAL JOURNAL OF RESEARCH AND ANALYTICAL REVIEWS (IJRAR)
E-ISSN 2348-1269, P- ISSN 2349-5138 | Impact factor: 5.75 | ESTD Year: 2014 | UGC and ISSN Approved.
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Volume 6 | Issue 2

  Paper Title: MULTIVARIATE COMPARITIVE EXPLORATION OF COLLBORATIVE PRINCIPAL COMPONENT ANALYSIS AND SINGULAR VALUE DECOMPOSITION : A STUDY OF EMPLOYEE DATA IN AN INDIAN STATE

  Publisher Journal Name: IJRAR

  DOI Member: 10.6084/m9.doi.one.IJRAR1AOP032

  Your Paper Publication Details:

  Published Paper ID: - IJRAR1AOP032

  Register Paper ID - 202881

  Title: MULTIVARIATE COMPARITIVE EXPLORATION OF COLLBORATIVE PRINCIPAL COMPONENT ANALYSIS AND SINGULAR VALUE DECOMPOSITION : A STUDY OF EMPLOYEE DATA IN AN INDIAN STATE

  Author Name(s): Ann Baby, A.Kannammal

 Publisher Journal name: IJRAR

 Volume: 6

 Issue: 2

 Pages: 162-169

 Year: May 2019

 Downloads: 85

 Abstract


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 Keywords

PCA, SVD, Collaborative PCA, Exploratory Analysis, Job Satisfaction, Quality of Work Life

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  Paper Title: MULTIVARIATE COMPARITIVE EXPLORATION OF COLLBORATIVE PRINCIPAL COMPONENT ANALYSIS AND SINGULAR VALUE DECOMPOSITION : A STUDY OF EMPLOYEE DATA IN AN INDIAN STATE

  Publisher Journal Name: IJRAR

  DOI Member: 10.6084/m9.doi.one.IJRAR1AOP031

  Your Paper Publication Details:

  Published Paper ID: - IJRAR1AOP031

  Register Paper ID - 205510

  Title: MULTIVARIATE COMPARITIVE EXPLORATION OF COLLBORATIVE PRINCIPAL COMPONENT ANALYSIS AND SINGULAR VALUE DECOMPOSITION : A STUDY OF EMPLOYEE DATA IN AN INDIAN STATE

  Author Name(s): Ann Baby, A.Kannammal

 Publisher Journal name: IJRAR

 Volume: 6

 Issue: 2

 Pages: 155-161

 Year: May 2019

 Downloads: 40

 Abstract


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 Keywords

PCA, SVD, Collaborative PCA, Exploratory Analysis, Job Satisfaction, Quality of Work Life

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  Paper Title: THE DIGITAL ANATOMY OF QUESTION PAPER CIRCULATION IN EXAMINATIONS

  Publisher Journal Name: IJRAR

  DOI Member: 10.6084/m9.doi.one.IJRAR1AOP030

  Your Paper Publication Details:

  Published Paper ID: - IJRAR1AOP030

  Register Paper ID - 205511

  Title: THE DIGITAL ANATOMY OF QUESTION PAPER CIRCULATION IN EXAMINATIONS

  Author Name(s): Shivamurthaiah M, Sitesh Kumar Sinha , Praveen Kumar K

 Publisher Journal name: IJRAR

 Volume: 6

 Issue: 2

 Pages: 152-154

 Year: May 2019

 Downloads: 26

 Abstract

In the present instruction framework a few colleges sends the questionpapers physically to the colleges, security of queper (Question Paper) and sending queper to the universities is an extremely long and hazardous process. Our application Question paper circulation with biometric, circulating the specific subjects question paper upon the arrival of beginning of exam without allowing to complete any acts of neglect. In our application, administrator make section of different universities and spectators inside application, enrollment process for college and observer is done commonly utilizing the site by entering their subtle elements. Here question papers are put away into database in encryption method. Afterward, login by college and observer, both need to login to application at once with their username and secret word alongside biometric to download the particular quepers on that day of initiation of exam, quepers are accessible in application as in decrypted form. The examination will depict our experience and future work particularly helped for the college and understudies.


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 Keywords

Question paper, circulation

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  Paper Title: A MINI REVIEW ON BIG DATA NALYTICS TOOLS, TRENDS AND CHALLENGES

  Publisher Journal Name: IJRAR

  DOI Member: 10.6084/m9.doi.one.IJRAR1AOP029

  Your Paper Publication Details:

  Published Paper ID: - IJRAR1AOP029

  Register Paper ID - 205512

  Title: A MINI REVIEW ON BIG DATA NALYTICS TOOLS, TRENDS AND CHALLENGES

  Author Name(s): S. Mamatha Upadhya, C. S. K. Raju, G. Madhavi

 Publisher Journal name: IJRAR

 Volume: 6

 Issue: 2

 Pages: 148-151

 Year: May 2019

 Downloads: 31

 Abstract

In the wake of on-going and upcomingdigital revolution, there is enormous advancement in the scale of data routinely generated and gathered through variety of sources including mobile devices, social media , Internet of things (IOT)additionally companies are collecting data from their customers. By 2020, about 1.7 megabytes of data will be generated for every second by every human being. This article provides an overview of Big DataAnalytics, tools available till 2020 implemented by various organizations and industries, its important features and challenges.


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 Keywords

Big Data Analytics, Internet of Things, Hadoop, Apache Spark, Apache Strom, Apache Cassandra.

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  Paper Title: QUANTUM CRYPTOGRAPHY: THE FUTURE OF SECURITY

  Publisher Journal Name: IJRAR

  DOI Member: 10.6084/m9.doi.one.IJRAR1AOP028

  Your Paper Publication Details:

  Published Paper ID: - IJRAR1AOP028

  Register Paper ID - 205513

  Title: QUANTUM CRYPTOGRAPHY: THE FUTURE OF SECURITY

  Author Name(s): Venkatesh Prasad. G, Rohit A S Nair, Nagamani S, Madhavi Giridhar D

 Publisher Journal name: IJRAR

 Volume: 6

 Issue: 2

 Pages: 141-147

 Year: May 2019

 Downloads: 24

 Abstract


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 Keywords

Cryptography, Encryption, Communication, Quantum, Data.

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  Paper Title: RECOGNITION OF MULTIPLE LANGAGES USING DIFFERENT FEATURE EXTRACTION METHODS

  Publisher Journal Name: IJRAR

  DOI Member: 10.6084/m9.doi.one.IJRAR1AOP027

  Your Paper Publication Details:

  Published Paper ID: - IJRAR1AOP027

  Register Paper ID - 205514

  Title: RECOGNITION OF MULTIPLE LANGAGES USING DIFFERENT FEATURE EXTRACTION METHODS

  Author Name(s): Manjula S, Poornima Nataraja

 Publisher Journal name: IJRAR

 Volume: 6

 Issue: 2

 Pages: 135-140

 Year: May 2019

 Downloads: 25

 Abstract

The main purpose of this research work is to recognize Tamil, Telugu and English languages present in multilingual document. As we know India is a multilingual country all official documents are having more than one language this type of document is known as multilingual document. Now world is moving towards paperless work all documents are going to be processed and saved in digital format, all the system is working towards auto identification of languages present in that document by considering some of the unique features of different languages. To achieve this task some of the statistical feature extraction techniques are implemented, such as; diagonal feature extraction, isomap feature extraction and parabola curve fitting feature extraction techniques. For the purpose of classification feed forward neural network classification model has been constructed this model is providing best recognition rate for all the three languages.


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Multilingual document; diagonal feature extraction; isomap feature extraction; parabola feature extraction; feedforward neural network;

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  Paper Title: GREEN WORLD: GREEN INTERNET OF THINGS (G-IOT) COVERING TECHNOLOGIES FOR SMART ENVIRONMENT AND AS A SCIENTIFIC ENABLER OF GREEN DEVELOPMENT

  Publisher Journal Name: IJRAR

  DOI Member: 10.6084/m9.doi.one.IJRAR1AOP026

  Your Paper Publication Details:

  Published Paper ID: - IJRAR1AOP026

  Register Paper ID - 205515

  Title: GREEN WORLD: GREEN INTERNET OF THINGS (G-IOT) COVERING TECHNOLOGIES FOR SMART ENVIRONMENT AND AS A SCIENTIFIC ENABLER OF GREEN DEVELOPMENT

  Author Name(s): Dr.R.Kumar , B.Ayshwarya

 Publisher Journal name: IJRAR

 Volume: 6

 Issue: 2

 Pages: 129-134

 Year: May 2019

 Downloads: 22

 Abstract

The Internet of Things (IoT) has been foreseen to describe a quantity of knowledge and research disciplines that permituniversal connectivity over the worldwide physical objects.Empowering advancements like Sensor networks, biometrics, RFID and nanotechnologies are presently used. This marks the IoT into genuine executions tending to differing applications, including smart grid, e-health, andintellectual transportation. They foreshadow an energizing future that intently communicates our physical world by means of green networks. Green networks in IoT will add to lessening emanations and contaminations, misusing ecological protection and reconnaissance, and limiting operational expenses and power utilization.The Green Internet of Things (G-IoT) is anticipated to present critical changes in our day by day life and would help in understanding the vision of "green encompassing knowledge." Within a couple of years we will be encompassed by a massive measure of sensors, gadgets, and "things," which will most likely impart through 5G, act "shrewdly," and give green help to clients in dealing with their activities. This article presents framework of green IoT and consolidated the estimates of information and communication (ICTs) that engages the G-IoT for splendid world.


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Internet of Things (IoT), Smart World, ICT Principles, Challenges, Cloud.

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  Paper Title: INTEROPERABILITY OF DATA MANAGEMENT IN GRID COMPUTING

  Publisher Journal Name: IJRAR

  DOI Member: 10.6084/m9.doi.one.IJRAR1AOP025

  Your Paper Publication Details:

  Published Paper ID: - IJRAR1AOP025

  Register Paper ID - 205518

  Title: INTEROPERABILITY OF DATA MANAGEMENT IN GRID COMPUTING

  Author Name(s): Ms Prema.R , Dr Antony Selvadoss Thanamani

 Publisher Journal name: IJRAR

 Volume: 6

 Issue: 2

 Pages: 123-128

 Year: May 2019

 Downloads: 20

 Abstract

Replication is a widely used method in data grid which aims to reduce bandwidth consumption, improve response time and maintain reliability. In data grid, for performance enhancement file correlations become an important consideration. The scrutiny of actual data intensive grid applications suggests that correlations can be broken for improving the efficiency of replication strategies and acknowledge that job requests for group of correlated files. In this paper an algorithm namely, Data mining based dynamic replication algorithm (DMDR) has been implemented, which consider a set of files as granularity. This work collects files based on a relationship of concurrent accesses between files by jobs as well as stores related files at the same time. So DM (Data Mining) is introduced to find out these correlations. All confidence measure is chosen for correlation measure.


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DMDR Algorithm, grid Architecture

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  Paper Title: ANALYSING THE INTERFACE OF BUSINESS INTELLIGENCE AND ENTERPRISE RESOURCE PLANNING

  Publisher Journal Name: IJRAR

  DOI Member: 10.6084/m9.doi.one.IJRAR1AOP024

  Your Paper Publication Details:

  Published Paper ID: - IJRAR1AOP024

  Register Paper ID - 205519

  Title: ANALYSING THE INTERFACE OF BUSINESS INTELLIGENCE AND ENTERPRISE RESOURCE PLANNING

  Author Name(s): Papri Ray, Dr T.A. Ashok Kumar

 Publisher Journal name: IJRAR

 Volume: 6

 Issue: 2

 Pages: 116-122

 Year: May 2019

 Downloads: 23

 Abstract


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 Keywords

Enterprise Resource Planning (ERP), Business Intelligence, Decision Support System(DSS)

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  Paper Title: REVIEW SPAM ANALYSIS USING NATURAL LANGUAGE PROCESSING

  Publisher Journal Name: IJRAR

  DOI Member: 10.6084/m9.doi.one.IJRAR1AOP023

  Your Paper Publication Details:

  Published Paper ID: - IJRAR1AOP023

  Register Paper ID - 205520

  Title: REVIEW SPAM ANALYSIS USING NATURAL LANGUAGE PROCESSING

  Author Name(s): Jyoti G.Biradar, Basavaraj A. Goudannavar

 Publisher Journal name: IJRAR

 Volume: 6

 Issue: 2

 Pages: 110-115

 Year: May 2019

 Downloads: 18

 Abstract

Communication is a vital part of traditional marketing; it is changed to posting reviews in websites/blogs. Many E-commerce merchants and vendors provide a platform to express their views/opinions on particular product and service. Thus, before purchasing any product (or) service it helps the customer to take decisions and for the vendors to promote their product and increase its sales. But, all the reviews posted by the users (or) customers need not to be written with true intention. User might have posted his review to promote (or) demote the product, such users or customers are considered as spammers. Thus, need to propose a new effective approach to classify each and every review as spam or non-spam. In this paper, the work is proposed for detecting spam/fake reviews on products using Term Frequency-Inverse Document Frequency (TF-IDF) weightage.


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Reviews, spam detection, fake reviews, spammers, Term Frequency-Inverse Document Frequency.

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  Paper Title: AUTOMATIC BIOMETRIC RECOGNITION USING ARTIFICIAL NEURAL NETWORKS

  Publisher Journal Name: IJRAR

  DOI Member: 10.6084/m9.doi.one.IJRAR1AOP022

  Your Paper Publication Details:

  Published Paper ID: - IJRAR1AOP022

  Register Paper ID - 205521

  Title: AUTOMATIC BIOMETRIC RECOGNITION USING ARTIFICIAL NEURAL NETWORKS

  Author Name(s): Gururaj J.P. , Dr. T.A. Ashok Kumar

 Publisher Journal name: IJRAR

 Volume: 6

 Issue: 2

 Pages: 102-109

 Year: May 2019

 Downloads: 25

 Abstract

Personal identification, recognition is a vital problem in any biometric application scenario. Biometrics finds a lot of application in the modern day security aspects whether it may be in industrial sector, defense sector or in domestic sectors. Entry of a person into an organization in the work environment plays a very important role as unauthorized persons if entered into a premises may create a flutter & inviable to some terrorist attacks. Hence, biometrics of an authorized person into the work environment plays a very important role. There are a large number of biometric methods for identification, viz., physiological & behavioural. Some of them are face, fingerprint, iris, voice, hand, thumb, ear, vein, gait, code, password, signature, pattern, palm print, etc... As there are a number of biometric methods for the automatic detection of human beings, retina scan is being considered as the biometric identity in the research work undertaken by us because of a large number of advantages over the other biometric identities. For biometric recognition of a person using retina scans, a number of methods exists in the literature. In this context, Artificial Neural Nets & Convolution Neural Netsmethod aresome of the methods that could be used for biometric recognition of humans. Hence, the retinal recognition is performed in our proposed work for identifying the person by developing new approaches using ANN (current) & CNN (future work) methodologies. Hybrid algorithms were developed & simulations were performed in the Matlab environment, the simulation results were observed and compared with the work done by the other authors till date to establish the supremacy of the proposed works.


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 Keywords

Biometrics, Retina scan, Physiological, ANN, CNN, Behavioural, Matlab, Simulation, Security, Eyes, Recognition, Authentication.

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  Paper Title: MULTI-HOP CLUSTER BASED MESSAGE PROPAGATION WITH CELLULAR-IOT IN VEHICULAR COMMUNICATION

  Publisher Journal Name: IJRAR

  DOI Member: 10.6084/m9.doi.one.IJRAR1AOP021

  Your Paper Publication Details:

  Published Paper ID: - IJRAR1AOP021

  Register Paper ID - 205522

  Title: MULTI-HOP CLUSTER BASED MESSAGE PROPAGATION WITH CELLULAR-IOT IN VEHICULAR COMMUNICATION

  Author Name(s): Channakeshava RN, Dr. T.A. Ashok Kumar

 Publisher Journal name: IJRAR

 Volume: 6

 Issue: 2

 Pages: 97-101

 Year: May 2019

 Downloads: 18

 Abstract

Inter vehicular communication is a research area where a vehicle can send critical messages about its status to the other vehicles in the same geographical region, which will ensure safety of the traffic patterns and reduced traffic delays. 802.11p WAVE- Wireless Access for Vehicular Environments is the most commonly used Communication technology which is also referred to as VANET or Vehicular Ad-Hoc Networks. Using a single communication technology WAVE for vehicular communication may not be feasible always. Similarly communications between a vehicle and road side units are established using cellular IoT, This paper introduces hybrid architecture for vehicular communication which uses VANETs as well as Cellular-IoT. Cellular-IoT is the standard by 3GPP which uses unused channels in existing cellular networks. The proposed system will reduce the message propagation delay as well as high packet delivery ratio. Use of WAVE for VANETs is suitable in urban mobility where vehicles are moving in a limited speed and more number of vehicles within a small geographical area. In a highway environment where vehicles moves with high speeds and speed of the vehicles varies with neighbors rapid change in formation of clusters is required..


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 Keywords

Cellular IoT, Road Side Units, Vehicles, Safety Messages, Hybrid Architecture.

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P- ISSN 2349-5138
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