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(DOI)
IJCRT Journal front page | IJCRT Journal Back Page |
Paper Title: TRUST EVALUATION ALGORITHM (TEA) TO IDENTIFY MALICIOUS NODE IN MANET
Author Name(s): L Raghavendar Raju
Published Paper ID: - IJCRTNTSE020
Register Paper ID - 181733
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRTNTSE020 and DOI :
Author Country : Indian Author, 500059, India , Hyderabad, India , | Research Area: Science & Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRTNTSE020 Published Paper PDF: download.php?file=IJCRTNTSE020 Published Paper PDF: http://www.ijcrt.org/papers/IJCRTNTSE020.pdf
Title: TRUST EVALUATION ALGORITHM (TEA) TO IDENTIFY MALICIOUS NODE IN MANET
DOI (Digital Object Identifier) :
Pubished in Volume: 6 | Issue: 1 | Year: February 2018
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science & Technology
Author type: Indian Author
Pubished in Volume: 6
Issue: 1
Pages: 95-98
Year: February 2018
Downloads: 1908
E-ISSN Number: 2320-2882
MANET is less resistant to malicious node more prone to selfish behavior of nodes and compromised nodes which are most often undetectable. Due to resource constraints and high mobility characteristics. In a clustered network one of the cluster member is chosen as a cluster head. But if the selected node becomes selfish or malicious, it will affect the performance of the entire group communication. This paper proposes a Trust Evaluation Algorithm (TEA) to identify the nodes with highest level of trust within the cluster. The nodes are added to the trust table based on the calculated trust level. The friends having highest trust level is eligible to become cluster heads. Among the available cluster heads, one among them is selected as the cluster head.other nodes are considered as a cluster members. The nodes with least trust values are regarded as malicious and are removed from the list and are stored in a noticeable unwanted record. Our TEA approach succeeds in achieving high resistance towards network attacks.
Licence: creative commons attribution 4.0
MANETs, QoS Trust, TRUST, Cluster Head
Paper Title: PARTICLE SWARM OPTIMIZATION METHODOLOGY FOR CLASSIFICATION OF IMAGES
Author Name(s): G. Shyama Chandra Prasad
Published Paper ID: - IJCRTNTSE019
Register Paper ID - 181732
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRTNTSE019 and DOI :
Author Country : Indian Author, 500059, India , Hyderabad, India , | Research Area: Science & Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRTNTSE019 Published Paper PDF: download.php?file=IJCRTNTSE019 Published Paper PDF: http://www.ijcrt.org/papers/IJCRTNTSE019.pdf
Title: PARTICLE SWARM OPTIMIZATION METHODOLOGY FOR CLASSIFICATION OF IMAGES
DOI (Digital Object Identifier) :
Pubished in Volume: 6 | Issue: 1 | Year: February 2018
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science & Technology
Author type: Indian Author
Pubished in Volume: 6
Issue: 1
Pages: 89-94
Year: February 2018
Downloads: 1833
E-ISSN Number: 2320-2882
In this paper how Particle Swarm Optimization Radial Basis Function Neural Network is used for solving pattern recognition issues is discussed. To improve the pattern recognition efficiency PSO technique is used to find the weights and bias values and k-means algorithm is used to find the centroid values of the radial basis function neural network. Finally proved that this method shows better accuracy than the traditional RBF model.
Licence: creative commons attribution 4.0
Particle Swarm Optimization, Neural Network, Pattern Recognition, Radial Basis Function Network
Paper Title: NATIVITY LANGUAGE PREDICTION USING A DOCUMENT WEIGHTED APPROACH
Author Name(s): Raghunadha Reddy. T
Published Paper ID: - IJCRTNTSE018
Register Paper ID - 181730
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRTNTSE018 and DOI :
Author Country : Indian Author, 500059, India , Hyderabad, India , | Research Area: Science & Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRTNTSE018 Published Paper PDF: download.php?file=IJCRTNTSE018 Published Paper PDF: http://www.ijcrt.org/papers/IJCRTNTSE018.pdf
Title: NATIVITY LANGUAGE PREDICTION USING A DOCUMENT WEIGHTED APPROACH
DOI (Digital Object Identifier) :
Pubished in Volume: 6 | Issue: 1 | Year: February 2018
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science & Technology
Author type: Indian Author
Pubished in Volume: 6
Issue: 1
Pages: 85-88
Year: February 2018
Downloads: 1838
E-ISSN Number: 2320-2882
The task of analyzing an interested text to find demographic characteristics such as gender, age, country and nativity language of an unknown author based on the writing style of the text called Author Profiling. The writing style differences are very important in Author Profiling research. Different researchers proposed several stylistic features to differentiate the writing style of the authors. In this work, the experimentation carried out with content based features like most frequent terms in the corpus to predict the nativity language of the authors. A Profile specific Document Weighted approach is used with most frequent terms as features. In this approach, the document weights are used to represent the document vectors. Various classification algorithms were used to generate the classification model and to predict the nativity language of the authors. The achieved results were good when compared with exiting techniques for nativity language prediction in Author Profiling research area.
Licence: creative commons attribution 4.0
Author Profiling, Profile specific Document Weighted approach, Nativity Language Prediction, Term Weight Measure, Document Weight Measure
Paper Title: HOME AUTOMATION USING MQTT SERVER
Author Name(s): Bhagya Laxmi. K
Published Paper ID: - IJCRTNTSE017
Register Paper ID - 181727
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRTNTSE017 and DOI :
Author Country : Indian Author, 500059, India , Hyderabad, India , | Research Area: Science & Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRTNTSE017 Published Paper PDF: download.php?file=IJCRTNTSE017 Published Paper PDF: http://www.ijcrt.org/papers/IJCRTNTSE017.pdf
Title: HOME AUTOMATION USING MQTT SERVER
DOI (Digital Object Identifier) :
Pubished in Volume: 6 | Issue: 1 | Year: February 2018
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science & Technology
Author type: Indian Author
Pubished in Volume: 6
Issue: 1
Pages: 82-84
Year: February 2018
Downloads: 2056
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
Wi-Fi, Local Area Network, Message Queening Telemetry Transport
Paper Title: FPGA BASED SIMULATION OF A FEED FORWARD NEURAL NETWORK USING VHDL
Author Name(s): B.M.S.S.S. Aditya
Published Paper ID: - IJCRTNTSE016
Register Paper ID - 181684
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRTNTSE016 and DOI :
Author Country : Indian Author, 500059, India , Hyderabad, India , | Research Area: Science & Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRTNTSE016 Published Paper PDF: download.php?file=IJCRTNTSE016 Published Paper PDF: http://www.ijcrt.org/papers/IJCRTNTSE016.pdf
Title: FPGA BASED SIMULATION OF A FEED FORWARD NEURAL NETWORK USING VHDL
DOI (Digital Object Identifier) :
Pubished in Volume: 6 | Issue: 1 | Year: February 2018
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science & Technology
Author type: Indian Author
Pubished in Volume: 6
Issue: 1
Pages: 76-81
Year: February 2018
Downloads: 1859
E-ISSN Number: 2320-2882
In this paper a hardware implementation of a neural network using Field Programmable Gate Arrays (FPGA) is presented. Digital system architecture is designed to realize a feed forward neural network. The feed forward network has 7 nodes and 3 layers, and this network achieving node parallelism and layer parallelism the designed architecture is described using Very High Speed Integrated Circuits Hardware Description Language (VHDL). After a brief review the implementation our simulation results have been presented.
Licence: creative commons attribution 4.0
Neural network, FPGA, VHDL, feed forward network
Paper Title: RELATED KEY–RECTANGLE AND BOOMERANG COMBINED ATTACK ON MDA
Author Name(s): B. Srinivasa Rao
Published Paper ID: - IJCRTNTSE015
Register Paper ID - 181683
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRTNTSE015 and DOI :
Author Country : Indian Author, 500059, India , Hyderabad, India , | Research Area: Science & Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRTNTSE015 Published Paper PDF: download.php?file=IJCRTNTSE015 Published Paper PDF: http://www.ijcrt.org/papers/IJCRTNTSE015.pdf
Title: RELATED KEY–RECTANGLE AND BOOMERANG COMBINED ATTACK ON MDA
DOI (Digital Object Identifier) :
Pubished in Volume: 6 | Issue: 1 | Year: February 2018
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science & Technology
Author type: Indian Author
Pubished in Volume: 6
Issue: 1
Pages: 70-75
Year: February 2018
Downloads: 1857
E-ISSN Number: 2320-2882
RELATED KEY–RECTANGLE AND BOOMERANG COMBINED ATTACK ON MDA
Licence: creative commons attribution 4.0
Combined attacks, Cryptanalysis, Message Digest Algorithms, Related Key Cryptanalysis.
Paper Title: SENTIMENT ANALYSIS ON PRODUCT REVIEWS USING BIG DATA
Author Name(s): Mrs. J. Samatha
Published Paper ID: - IJCRTNTSE014
Register Paper ID - 181682
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRTNTSE014 and DOI :
Author Country : Indian Author, 500059, India , Hyderabad, India , | Research Area: Science & Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRTNTSE014 Published Paper PDF: download.php?file=IJCRTNTSE014 Published Paper PDF: http://www.ijcrt.org/papers/IJCRTNTSE014.pdf
Title: SENTIMENT ANALYSIS ON PRODUCT REVIEWS USING BIG DATA
DOI (Digital Object Identifier) :
Pubished in Volume: 6 | Issue: 1 | Year: February 2018
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science & Technology
Author type: Indian Author
Pubished in Volume: 6
Issue: 1
Pages: 66-69
Year: February 2018
Downloads: 2040
E-ISSN Number: 2320-2882
Most of the e-commerce sites raise their customers to supply relevant reviews on their merchandise that might facilitate alternative customers to choose their alternative. A slew of reviews is being generated on a each day attributable to a rise within the usage of ecommerce sites. a possible client may have to travel through thousands of reviews before inward at a firm call, that is long. Many users give reviews for the single product. Such thousands of review can be analyzed using big data effectively. The results can be presented in a convenient visual form for the non-technical user. Thus, the primary goal of research work is the classification of customer reviews given for the product in the map-reduce framework
Licence: creative commons attribution 4.0
Sentiment Analysis, Opinion Mining, Product Reviews, Hadoop, MapReduce, Sentiwordnet.
Paper Title: ANALYZING VARIOUS FACE RECOGNITION TECHNIQUES USING NEURAL NETWORKS
Author Name(s): Dr. K. Sunil Manohar Reddy
Published Paper ID: - IJCRTNTSE013
Register Paper ID - 181624
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRTNTSE013 and DOI :
Author Country : Indian Author, 500059, India , Saidabad, Hyderabad, India , | Research Area: Science & Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRTNTSE013 Published Paper PDF: download.php?file=IJCRTNTSE013 Published Paper PDF: http://www.ijcrt.org/papers/IJCRTNTSE013.pdf
Title: ANALYZING VARIOUS FACE RECOGNITION TECHNIQUES USING NEURAL NETWORKS
DOI (Digital Object Identifier) :
Pubished in Volume: 6 | Issue: 1 | Year: February 2018
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science & Technology
Author type: Indian Author
Pubished in Volume: 6
Issue: 1
Pages: 63-65
Year: February 2018
Downloads: 1863
E-ISSN Number: 2320-2882
Face recognition is a form of biometric identification and off late it has become the most important method to recognize various people in a real time system. Recognition is a method to identify a person in a still image or in video. It became important due to its applications in many safety and security related areas such as at airports, banks for authentication. New research studies of recognition in this area in recent years is focused towards using neural network methods. Going forward in research in this area is application of Fuzzy system. In this comparative study the focus will be on neural networks, fuzzy system and neuro-Fuzzy system.
Licence: creative commons attribution 4.0
- Neural networks, face recognition, fuzzy system, Neuro-fuzzy.
Paper Title: PERFORMANCE ENHANCEMENT OF RMPA BY UNDERNEATH 2D-EBG GROUND PLANE
Author Name(s): Kunapareddy Koteswara Rao
Published Paper ID: - IJCRTNTSE012
Register Paper ID - 181657
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRTNTSE012 and DOI :
Author Country : Indian Author, 500059, India , Saidabad, Hyderabad, India , | Research Area: Science & Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRTNTSE012 Published Paper PDF: download.php?file=IJCRTNTSE012 Published Paper PDF: http://www.ijcrt.org/papers/IJCRTNTSE012.pdf
Title: PERFORMANCE ENHANCEMENT OF RMPA BY UNDERNEATH 2D-EBG GROUND PLANE
DOI (Digital Object Identifier) :
Pubished in Volume: 6 | Issue: 1 | Year: February 2018
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science & Technology
Author type: Indian Author
Pubished in Volume: 6
Issue: 1
Pages: 57-62
Year: February 2018
Downloads: 1800
E-ISSN Number: 2320-2882
The radiation characteristics of Rectangular Microstrip Patch Antenna (RMPA) placed over two dimensional Electromagnetic Band Gap (2D-EBG) ground plane is studied. The complete model is designed in numerical 3D-EM (electromagnetic) simulation software. The results obtained are compared with results of conventional RMPA over conducting ground. The dimensions of 2DEBG are considered such that it can operate within ISM band, and RMPA is made to operate within the ISM band gap. The first part of this paper contains characterization of surface properties of 2DEBG. The 2DEBG is resonating at 2.5GHz with a FBG (forbidden band gap) of 1.5GHz, in phase reflection band gap (AMC) of 41MHz and a high impedance of 3540 ohms. The high surface impedance property of helps achieve RMPA miniaturization. The property of in-phase reflection band helps to enhance the gain upto 3.5dB, when compared with the conventional arrangement. Due to surface wave band gap property, smoother radiation pattern, improvement in the radiation efficiency and an operating band width of 3% has been achieved.
Licence: creative commons attribution 4.0
EBG (Electromagnetic band gap), EM(Electromagnetic) Waves, AMC (Artificial Magnetic Conductor)
Paper Title: ADAPTIVE METHODS FOR EARLY IDENTIFICATION OF GLAUCOMA FOR DIABETIC RETINOPATHY USING MATLAB GUI
Author Name(s): B.Anupama
Published Paper ID: - IJCRTNTSE011
Register Paper ID - 181656
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRTNTSE011 and DOI :
Author Country : Indian Author, 500059, India , Jaipur, India , | Research Area: Science & Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRTNTSE011 Published Paper PDF: download.php?file=IJCRTNTSE011 Published Paper PDF: http://www.ijcrt.org/papers/IJCRTNTSE011.pdf
Title: ADAPTIVE METHODS FOR EARLY IDENTIFICATION OF GLAUCOMA FOR DIABETIC RETINOPATHY USING MATLAB GUI
DOI (Digital Object Identifier) :
Pubished in Volume: 6 | Issue: 1 | Year: February 2018
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science & Technology
Author type: Indian Author
Pubished in Volume: 6
Issue: 1
Pages: 50-56
Year: February 2018
Downloads: 1768
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
Glaucoma, Funds Image, CDR, Diabetic Retinopathy, Image processing, image subtraction.