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Janakiraman, S.
- Defect Detection in Pattern Texture Analysis Based on Kernel Selection in Support Vector Machine
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Authors
Affiliations
1 MVJ College of Engineering and Research Scholar in Manonmaniam Sundaranar University, Tirunelveli – 627012, TamilNadu, IN
2 Department of Banking Technology, School of Management, Pondicherry University,Pondicherry – 605014, TamilNadu, IN
1 MVJ College of Engineering and Research Scholar in Manonmaniam Sundaranar University, Tirunelveli – 627012, TamilNadu, IN
2 Department of Banking Technology, School of Management, Pondicherry University,Pondicherry – 605014, TamilNadu, IN
Source
Indian Journal of Science and Technology, Vol 9, No 45 (2016), Pagination:Abstract
Background/Objective: Finding defects in real world application is assorted process. A robust and novel method is designed to select fine distinctions of features and classifying the images lead to improve the quality of products in industrial engineering. Methods/Statistical Analysis: Image feature accentuate, feature selection and classification are the different stages in pattern texture analysis. The efficiency of the overall system depends on efficiency of individual stages. Findings: Computational complexity of kernel algorithms are more intelligent than features .We analyzed and reviewed linear kernel, Quadratic Kernel, Polynomial Kernel, Sigmoid Kernel of SVM to classify the patterns effectively for classifying the defects. Improvements/Applications: Here kernel functions such as the polynomial kernel functions are yield superb performance ratios.Keywords
Defect Detections, Feature Extractions, GTDM, Polynomial Kernel Functions, SVM.Full Text
- A Brief Survey on Performance Analysis and Routing Strategies on Vanets
Abstract Views :255 |
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Authors
Affiliations
1 Department of Computer Science and Engineering, SMVEC, Pondicherry - 605107, Tamil Nadu, IN
2 Department of Banking Technology, Pondicherry University, Pondicherry - 605014, Tamil Nadu, IN
1 Department of Computer Science and Engineering, SMVEC, Pondicherry - 605107, Tamil Nadu, IN
2 Department of Banking Technology, Pondicherry University, Pondicherry - 605014, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 9, No 11 (2016), Pagination:Abstract
Background/Objectives: To analyze the performance and find the challenges of routing in VANET. Findings: VANET protocols should be designed in such a way that a link should be established between the nodules in a nexus for efficient communication. Routing protocols are developed usually based on the two types of communication (i.e.) Vehicle to Vehicle (V2V) communication and Vehicle to Infrastructures (V2I) irrespective of their environment. This paper gives a survey of about the various routing protocols in VANETs, their main characteristics and their pros and cons which help for the further enrichment of the same. Applications/Improvements: The results observed from this work will motivate to improve the issues in VANET and to enhance the routing protocols.Keywords
Greedy Forwarding, Issues in VANET, Routing Protocols, VANETFull Text