Informatics Publishing Limited

T. Sridevi ¹, A. Murugan ²

Affiliations
1 Mother Teresa Women’s University, Kodaikanal, Tamil Nadu, IN
2 Department of Computer Science, Dr. Ambedkar Govt. Arts College, Chennai, Tamil Nadu, IN

Abstract

Data mining (DM) techniques are used to determine interesting patterns from different domains according to the need of applications and the analyst. Medical field is one among the major user of the mining technology for diagnosing the attributes for the medical issues. Breast cancer is one of the most important medical problems. The modern researchers and technological advancements attempted to determine the cause and prevention in an effective manner with lesser number of attributes. But the diagnosis is lengthy process with multiple and multilevel attribute analysis in certain cases. In order to improve the accuracy of diagnosis with limited attributes, in this paper rough set based relative reduct algorithm is used to reduce the number of attributes using equivalence relation. The effectiveness of proposed Rough Set Reduction algorithm is analyzed on Wisconsin Breast Cancer Dataset (WBCD) and presented as a part of the paper. The experimental results show that the relative reduct performs better attribute reduction.

Keywords

Data mining, Data Preprocessing, Rough Set, Data reduction, Breast Cancer Diagnosis

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A. Murugan ¹, T. Senthilvelan ¹, V. Balasubramanian ²

Affiliations
1 Department of Mechanical Engineering, Pondicherry Engineering College, Puducherry 607 402, IN
2 Centre for Materials Joining and Research (CEMAJOR), Department of Manufacturing Engineering, Annamalai University, Annamalai Nagar, 608 002 Tamil Nadu, IN

Abstract

In the present study, pure aluminium (Al) and pure copper (Cu) plates prepared by powder metallurgy (P/M) method were bonded by diffusion bonding technique. From the literature, it was identified that the predominant diffusion bonding process parameters such as bonding temperature, holding time and bonding pressure influence the shear and bonding strength of diffusion bonded joints. In this investigation an attempt was made to develop empirical relationships to predict the shear strength and bonding strength of diffusion bonded bimetallic joints of pure Cu/AI incorporating the above parameters using statistical tools such as design of experiments, analysis of variance and regression analysis. The developed empirical relationships can be used to predict the strength of Cu/AI bimetallic joints at 95% confidence level.

Keywords

Pure Copper, Pure Aluminium, Powder Metallurgy, Diffusion Bonding, Design of Experiments, Analysis of variance and Regression Analysis.

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A. Murugan ¹, T. Senthilvelan ¹, V. Balasubramanian ²

Affiliations
1 Dept. of Mechanical Engineering, Pondicherry Engineering College, Puducherry, IN
2 Centre for Materials Joining and Research (CEMAJOR), Department of Manufacturing Engineering, Annamalai University, Annamalai Nagar, Tamil Nadu, IN

Abstract

In the present study, pure copper (Cu) and pure nickel (Ni) plates prepared by powder metallurgy (P/M) method were bonded by diffusion bonding technique. From the literature, it was identified that the predominant diffusion bonding process parameters such as bonding temperature, holding time and bonding pressure influence the shear and bonding strength of diffusion bonded joints. In this investigation an attempt was made to develop empirical relationships to predict the shear strength and bonding strength of diffusion bonded bimetallic joints of pure Cu/Ni incorporating the above parameters using statistical tools such as design of experiments, analysis of variance and regression analysis. The developed empirical relationships can be used to predict the strength of Cu/Ni bimetallic joints at 95% confidence level.

Keywords

Powder Metallurgy, Diffusion Bonding, Design of Experiments, Analysis of Variance and Regression Analysis.

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A. Murugan ¹, R. Ramesh ², P. V. Shashikumar ³

Affiliations
1 Ultra Precision Engineering Department, Central Manufacturing Technology Institute, Tumkur Road, Bangalore, IN
2 Laboratory of Molecular Imaging, Department of Biomedical Science, CHA University, 605-21 Yoeksam 1-dong, Gangnam-gu, seoul-135-081, KR
3 Central Manufacturing Technology Institute, Tumkur Road, Bangalore, IN

Abstract

In the report presents on a multi-color fluorescent and water soluble carbon nanoparticle (CNPs) were fabricated by a facile one-step hydrothermal method by using L-Ascorbic Acid as a carbon source. Height distribution of Atomic Force Microscope (AFM) image revels CNPs are monodisperse having average size of 5.0 nm with narrow distribution. Raman analysis shows, as synthesized CNPs having sp² hybridization of carbon having graphite crystalline structure. The CNPs could emit bright and colorful photoluminescence (PL) which covering the entire visible to Near Infrared (NIR) spectral range. Moreover, these particles also had excellent up conversion fluorescent properties over the range.

Keywords

Nanoparticles, Carbon, Multi-Color Fluorescence, Hydrothermal Method, Carbonization.

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R. Thilagavathy ¹, A. Murugan ¹

Affiliations
1 Department of Computer Science, Dr. Ambedkar Government Arts College (Autonomous), University of Madras, Chennai - 600039, Tamil Nadu, IN

Abstract

Background: Cloud computing is a model whereby users access compute resources from a service provider through internet. The Cloud Computing has great capability to boost productivity and minimize cost, hence many organizations are migrating to the new technology, but at the same time it constitutes many security risks and challenges. Methods: DNA and ID base cryptography methods are used for cloud computing security. Findings: Cloud computing can address the problems when user moves from single cloud to multi-clouds. In this paper, we provide an extensive survey of cloud computing security challenges and different technologies taken to tackle the issues. Improvements: Highlighting the security issues of cloud computing, the proposed system is, DNA technology and JPEG Zigzag coding with an encryption scheme. We conclude the paper with a critical analysis of challenges that have not yet been fully met, and highlight directions for future work.

Keywords

Cloud Computing, Cloud Security Risks and Challenges, CSP, Cryptography, DNA, Encryption Scheme, Privacy, Security.

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A. Murugan ¹, T. Senthilvelan ¹, V. Balasubramanian ²

Affiliations
1 Department of Mechanical Engineering, Pondicherry Engineering College, Puducherry 607 402, IN
2 Centre for Materials Joining and Research (CEMAJOR), Department of Manufacturing Engineering, Annamalai University, Annamalai Nagar 608 002, IN

Abstract

In this investigation, pure aluminium (Al) and pure copper plates manufactured by powder metallurgy (P/M) technique were bonded by diffusion bonding. Joining of these materials by fusion welding is difficult because of the formation oxide films and brittle intermetallic compounds in the bond region which affect the quality of bonds. However, diffusion bonding is a suitable process to join these materials without much difficulties. In this investigation, an attempt was made to develop the diffusion bonding windows to join pure Al with pure Cu plates produced by P/M technique using different combinations of process parameters such as bonding temperature, bonding pressure and holding time The quality of bonds was checked by the microstructure analysis. Diffusion bonding windows (DBW) presented in this paper will act as reference maps for selecting appropriate process parameters to join pure Al with pure Cu plates fabricated by P/M technique.

Keywords

Pure Aluminium, Pure Copper, Powder Metallurgy, Diffusion Bonding Window.

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A. Murugan

Abstract

 Natural Disaster Management essentially deals with management of resources and information relating to a disaster event and is measured by how efficiently, effectively and seamlessly one coordinates these resources. At the individual and organizational level deals with issues of planning, coordination, communication and risk assessment. It deals with all humanitarian aspects of emergencies, in particular preparedness, planning, response and recovery in order to lessen the impact of disaster. “Natural Disaster Management” can be defined as the range of activities designed to maintain control over disaster and emergency situations and to provide a framework for helping  at-risk  persons  to  avoid  or  recover  from the  impact  of  the  disaster.  Disaster management deals with situations that occur prior to, during and after the disaster. The teacher “Architecture of Nation” is a dynamic force of the society. A society without a teacher is like a body without a soul, a skeleton without flesh and blood, a shadow without substance. As a social engineer, he socializes and humanize the younger generation by the man-like qualities. Inclusion of natural disaster management in teacher education curriculum enhances the teacher trainee to equip and prepare themselves for natural disaster management. This helps in transforming the knowledge of natural disaster management to the future younger generation and to save the lives of living beings in the world.

Keywords

Disaster, natural disaster management

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R. Thilagavathy ¹, A. Murugan ¹

Affiliations
1 PG and Research Department of Computer Science, Dr. Ambedkar Government Arts College (Autonomous), Chennai - 600039, Tamil Nadu, IN

Abstract

Objectives: To overcome the cloud data security challenges, a few recommendations have been proposed along with RSA encryption algorithm. Methods: The RSA algorithm can be defined as an asymmetric key algorithm which is used to develop the strong security model. In cloud computing so many encryption schemes are used for security. In the proposed model the RSA is used to build new security model because it is tightly secured algorithm. Findings: Many organizations are migrating to cloud environment, it is imperative to understand the data security issues surrounding cloud computing. The data security is attained by using modified RSA algorithm. Improvements: In this paper we propose a modified RSA encryption algorithm with longest common sub sequence of a string (LCS). The encrypted and decrypted files are compared and the correctness of proposed system is proved.

Keywords

Cloud Computing, DNA, LCS Algorithm, RSA Algorithm, Security.

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A. Murugan ¹, P. J. Arul Leena Rose ²

Affiliations
1 Department of Computer Science, Dr Ambedkar Govt Arts College, Chennai – 600039, Tamil Nadu, IN
2 Department of Computer Applications, FSH, SRM University, Chennai – 603203, Tamil Nadu, IN

Abstract

Objectives: This paper is focused with original features used in fingerprint matching founded on back propagation neural network. For finding the features in the images, it can be improved using filtering techniques as isotropic and anisotropic. Isotropic can protect features on the input images but can barely progress the dominance of the images. But on the contrary, anisotropic filtering can successfully eliminate noise from the image just when a consistent point of reference is provided. Methods and Analysis: The filters commonly used namely median filter, gabor filter along with anisotropic filters are used for filtering the noises under direct gray scale enhancement .Whereas for an input image, the narrow ridge direction is predictable and the region of interest is positioned. The uniqueness of a fingerprint is exclusively determined by the local ridge characteristics and their relationships. The ridges and valleys in a fingerprint alternate, flowing in a local constant direction. The two most prominent local ridge characteristics are: 1) ridge ending and, 2) ridge bifurcation. A ridge ending is defined as the point where a ridge ends rapidly. A ridge bifurcation is defined as the point where a ridge forks or diverges into branch ridges. Collectively, these features are called minutiae. Minutiae points are extracted during the enrollment process and then for each authentication. In a fingerprint, they correspond to either a ridge ending or a bifurcation. Minutiae are major features of a fingerprint using which comparisons of one print with another can be made. After finding the minutiae points the filters reducing image noises, smoothing, removing some forms of misfocus and motion blur, is in the front step of image processing. Filtering is also used for preserving the true ridge and valley structures. Findings: The digital results of these features are practically feeded as input of the neural network using median filter, gabor filter, anisotropic filter for training function. For fingerprint identification the confirmation part of the system identifies the fingerprint based training show of the network. Novelty and Improvement: To finish the new outcome reveals that the number of accepted sample rate of the proposed method using the three filters which is far better than the existing fingerprint verification system using artificial neural network

Keywords

Anisotropic Filter, Artificial Neural Network, Back Propagation Algorithm, Gabor Filter, Median Filter

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S. V. Sanaye ¹, C. U. Rivonker ², R. A. Sreepada ¹, Z. A. Ansari ¹, A. Murugan ¹, B. Ramkumar ³

Affiliations
1 Aquaculture Laboratory, CSIR-National Institute of Oceanography, Goa 403 004, IN
2 Department of Marine Sciences, Goa University, Goa 403 206, IN
3 Department of Marine and Coastal Studies, Madurai Kamaraj University, Pudumadam 623 524, IN

Abstract

The present study provides information on weight- length relationship (WLR) and Fulton's condition factor (K) of the alligator pipefish, Syngnathoides biaculeatus (Bloch, 1785) sampled from Palk Bay (PB) and Gulf of Mannar (GoM) regions, southeast coast of India. The pooled estimate for the parameter b of the WLR for S. biaculeatus (n = 217) was determined to be 1.75, indicating the negative allometric growth pattern (b < 3). The K values ranged from 0.65 to 1.35 (pooled, 0.84) and from 0.68 to 1.27 (pooled, 0.85) for populations of S. biaculeatus collected from PB (n = 120) and GoM (n = 97) respectively. The results may help address the concerns of conservation of S. biaculeatus in the wake of habitat loss and/or incidental by-catch.

Keywords

Allometric Growth Pattern, Condition Factor, Population biology, Syngnathoides Biaculeatus, Weight–Length Relationship.

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P. Thillai Arasu ¹, A. Murugan , M. S. M. Badusha ²

Affiliations
1 Department of Chemistry, Wollega University, Nekemte, ET
2 Department of Chemistry, Sadakathullah Appa College, Tirunelveli-627011, Tamil Nadu, IN

Abstract

Physico-Chemical study was carried out in and around State Industries Promotion Corporation of Tamil Nadu Ltd (SIPCOT) area, Tuticorin, Tamilnadu, with an attempt to determine the characteristics of ground water status and public health in this region, which includes a network of some major industries. Twelve ground water sample were collected from different bore wells and open wells in the study area and were analyzed for pH, total dissolved solid (TDS), total hardness (TH), Nitrogen dioxide (NO₂), Sulphate (SO₄^2-), Chloride (Cl^-), Fluoride (F^-), and Iron (Fe). The analysis show that all the twelve samples collected from the places located in and around the industrial belt of SIPCOT has been grossly polluted. The present study clearly highlight that the Physico-chemical parameters like pH, TDS, TH, NO₂, SO₄^2-, Cl^-, F, and Fe of majority of the samples are exceeds BIS permissible limits due to industrial activities. There is also a possible for more metals to seep into the soil to reach the ground water and due to higher withdrawal of groundwater leading to intrusion of seawater in and around SIPCOT area Tuticorin. Hence, it is indention to prevent ground water contamination at the earliest in this area and save the human health.

Keywords

SIPCOT-Tuticorin, Ground Water, Water Quality Parameter.

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