A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Murugan, A.
- Rough Set Theory Based Attribute Reduction for Breast Cancer Diagnosis
Authors
1 Mother Teresa Women’s University, Kodaikanal, Tamil Nadu, IN
2 Department of Computer Science, Dr. Ambedkar Govt. Arts College, Chennai, Tamil Nadu, IN
Source
Indian Journal of Innovations and Developments, Vol 1, No 5 (2012), Pagination: 309-313Abstract
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 DiagnosisReferences
- Agrawal R, Imielinski T and Swami A (1993) Database mining: A performance perspective. IEEE Trans. Knowl. Data Eng. 5(6), 914–925.
- Blake CL and Merz CJ (1998) UCI Repository of machine learning databases, Irvine, University of California, http://www.ics.uci.edu/~mlearn/
- Dash M and Liu H (1997) Feature Selection for Classification. Intell. Data anal. 1(3), 131-156.
- Fayyad UM, Piatetsky-Shapiro G, Smyth P and Uthurusamy R (1996) Advances in Knowledge Discovery and Data Mining, pages 495–515. AAAI Press / the MIT Press.
- Guyon I and Elissee A (2003) An introduction to variable and feature selection. J. Mach. Learn. Res. 3, 1157-1182.
- Han J, Hu X and Lin TY (2004) Feature subset selection based on relative dependency between attributes, in Proc. of the 4th International Conf. on Rough sets and Current Trend in Computing, Uppsala, pp. 176–185.
- Jensen R and Shen Q (2001) A Rough Set-Aided System for Sorting WWW Bookmarks, In Zhong N et al. (Eds.), Web Intelligence: Research and Development, pp. 95- 105.
- Jensen R (2004) Combining rough and fuzzy sets for feature selection, Ph.D thesis, University of Edinburgh.
- Liu H and Motoda H (1998) Feature Selection for Knowledge Discovery and Data Mining. Boston: Kluwer Academic Publishers.
- Mandelbrot BB (1965) Linear and nonlinear separation of patterns by linear programming. Oper. Res. 13, 444- 452.
- Qiang Shen and Alexios Chouchoulas (2000) A modular approach to generating fuzzy rules with reduced attributes for the monitoring of complex systems. Eng. Appl. Artif. Intell. 13(3), 263–278.
- Quinlan, JR (1993) C4.5: Programs for Machine Learning, The Morgan Kaufmann Series in Machine earning. Morgan Kaufmann Publishers, San Mateo, CA.
- Street W, Wolberg W and Mangasarian O (1993) Nuclear feature extraction for breast tumor diagnosis. Available from: citeseer.ist.psu.edu/street93nuclear.html.
- Zdzislaw Pawlak (1982) Rough sets. Int. J. Compu.Info. Sci. 11, 341-356.
- Zdzislaw Pawlak (1991) Rough Sets-Theoretical Aspects and Reasoning about Data, Kluwer Academic Publications.
- Development of Empirical Relationships to Predict Strength of Powder Metallurgically Produced Pure Aluminium and Pure Copper Diffusion Bonded Bimetallic Joints
Authors
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
Source
Indian Welding Journal, Vol 48, No 3 (2015), Pagination: 33-45Abstract
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.- Development of Empirical Relationships to Predict Strength of P/M Sintered Pure Copper and Pure Nickel Diffusion Bonded Bimetallic Joints
Authors
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
Source
Manufacturing Technology Today, Vol 14, No 2 (2015), Pagination: 11-19Abstract
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.- Enhanced Emission Properties of Carbon Nanoparticles by Hydrothermal Method
Authors
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
Source
Manufacturing Technology Today, Vol 13, No 3 (2014), Pagination: 20-23Abstract
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.- Cloud Computing: A Survey on Security Issues and DNA, ID-base Cryptography
Authors
1 Department of Computer Science, Dr. Ambedkar Government Arts College (Autonomous), University of Madras, Chennai - 600039, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 9, No 28 (2016), Pagination: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.- Developing Diffusion Bonding Windows for Joining Powder Metallurgically Produced Pure Aluminium and Pure Copper
Authors
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
Source
Indian Welding Journal, Vol 47, No 1 (2014), Pagination: 43-56Abstract
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.- Essentials of Inclusion of Natural Disaster Management in Teacher Education Curriculum
Authors
Source
International Journal of Innovative Research and Development, Vol 4, No 4 (2015), Pagination: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- Secure the Cloud Data Transmissionusing an Improved RSA Algorithm
Authors
1 PG and Research Department of Computer Science, Dr. Ambedkar Government Arts College (Autonomous), Chennai - 600039, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 10, No 12 (2017), Pagination: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.- Fingerprint Matching through Back Propagation Neural Network
Authors
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
Source
Indian Journal of Science and Technology, Vol 10, No 29 (2017), Pagination: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 networkKeywords
Anisotropic Filter, Artificial Neural Network, Back Propagation Algorithm, Gabor Filter, Median Filter- Weight-Length Relationship and Fulton's Condition Factor of the Alligator Pipefish, Syngnathoides biaculeatus (Bloch, 1785) from the Southeast Coast of India
Authors
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
Source
Current Science, Vol 113, No 08 (2017), Pagination: 1605-1609Abstract
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.References
- Bartnik, S., Morgan, S., Pogonoski, J., Pollard, D. and Paxton, J., Syngnathoides biaculeatus. The IUCN Red List of Threatened Species, 2008; e.T40715A10357159 (downloaded on 9 September 2015).
- Dawson, C. E., Indo-Pacific pipefishes (Red Sea to the Americas). The Gulf Coast Research Laboratory Ocean Springs, Mississippi, USA, 1985, p. 230.
- Murugan, A., Dhanya, S., Rajagopal, S. and Balasubramanian, T., Seahorses and pipefishes of the Tamil Nadu coast. Curr. Sci., 2008, 95, 253–260.
- Shi, R., Zhang, Y. and Wang, Z., Experimental studies on Hailong extracts from Syngnathoides biaculeatus. 1. The influences of Hailong extracts on human PBL proliferation and human tumor cell lines. Chin. J. Mar. Drugs, 1993, 12, 4–7.
- Pogonoski, J. J., Pollard, D. A. and Paxton, J. R., Conservation overview and action plan for Australian threatened and potentially threatened marine and estuarine fishes. Environment Australia, Canberra, Australia. 2002, p. 375.
- Vincent, A. C. J., The international trade in seahorse. TRAFFIC International, Cambridge, UK, 1996, p. 172.
- Uddin, S. K. N., Ghosh, S. and Maity, J., Length–weight relationship and condition factor of Penaeus monodon (Fabricus, 1798) from Digha coast, West Bengal, India. Int. J. Fish. Aquat. Stud., 2016, 4, 168–172.
- Takahashi, E., Connolly, R. M. and Lee, S. Y., Growth and reproduction of double-ended pipefish, Syngnathoides biaculeatus, in Moreton Bay, Queensland, Australia. Environ. Biol. Fish, 2003, 67, 23–33.
- Dhanya, S., Rajagopal, S., Ajmal Khan, S. and Balasubramanian, T., Embryonic development in alligator pipefish, Syngnathoides biaculeatus (Bloch, 1785). Curr. Sci., 2005, 88, 178–181.
- Dhanya, S., Biology and culture of the alligator pipefish, Syngnathoides biaculeatus (Bloch, 1785) from Palk Bay, Ph D thesis, Annamalai University, Chidambaram, 2008, p. 224.
- Barrows, A. P. W., Martin-Smith, K. M. and Baine, M. S. P., Population variables and life-history characteristics of the alligator pipefish Syngnathoides biaculeatus, in Papua New Guinea. J. Fish Biol., 2009, 74, 806–819.
- Sanaye, S. V., Pise, N. M., Pawar, A. P., Parab, P. P., Sreepada, R. A., Pawar, H. B. and Murugan, A., Total phenolic content and invitro antioxidant activities from methanolic extract of alligator pipefish, Syngnathoides biaculeatus (Bloch, 1785). Indian J. GeoMar. Sci., 2015, 44, 1352–1357.
- Gurkan, S., The biometric analysis of pipefish species from Çamalti Lagoon (İzmir Bay, Aegean Sea). Eur. J. Fish. Aquat. Sci., 2008, 25, 53–56.
- Ricker, W. E., Computation and interpretation of biological statistics of fish populations. Bull. Fish. Res. Bd. Can., 1975, 191, 1–382.
- Cakic, P., Lenhardt, M., Mickovic, D., Sekulic, N. and Budaleov, L. J., Biometric analysis of Syngnathus abaster populations. J. Fish Biol., 2002, 60, 1562–1569.
- Gurkan, S. and Taskavak, E., Length–weight relationships for syngnathid fishes of the Aegean Sea, Turkey. Belg. J. Zool., 2007, 137, 219–222.
- Ben Amor, M. M., Ben Salem, M., Reynaud, C. and Capape, C., Length–weight relationships in syngnathid species from Tunisian waters (central Mediterranean). Mar. Biodivers. Rec., 2011, 4, 1–4.
- Khrystenko, D., Kotovska, G. and Novitskij, R., Length–weight relationships and morphological variability of black-stripped pipefish, Syngnathus abaster Risso, 1827 in the Dnieper River basin. Turk. J. Fish. Aquat. Sci., 2015, 15, 1–11.
- Yildiz, T., Uzer, U. and Karakulak, F. S., Preliminary report of a biometric analysis of greater pipefish Syngnathus acus Linnaeus, 1758 for the western Black Sea. Turk. J. Zool., 2015, 39, 917–924.
- Vieira, R. P., Monteiro, P., Ribeiro, J., Bentes, L., Oliveira, F., Erzini, K. and Goncalves, J. M., Length–weight relationships of six syngnathid species from Ria Formosa, SW Iberian coast. Cah. Biol. Mar., 2014, 55, 9–12.
- Tesh, F. W., Age and growth. In Methods for Assessment of Fish Production in Fresh Waters (ed. Ricke, W. E.), Blackwell Scientific Publications, Oxford, UK, 1971, pp. 98–130.
- Wootton, R. J., Ecology of Teleost Fishes, Kluwer, Dordrecht, The Netherlands, 1998, p. 386.
- Froese, R., Cube law, condition factor and weight–length relationship: history, meta-analysis and recommendations. J. Appl. Ichthyol., 2006, 22, 241–253.
- Karachle, P. K. and Stergiou, K. I., Morphometrics and allometry in fishes. In Morphometrics (ed. Wahl, C.), In Tech, 2012, pp. 65–86.
- D’Souza, N., Patterson, J. K. and Ishwar, N. M., Survey and assessment of seagrass beds in the Gulf of Mannar and Palk Bay to support strategy to conserve and manage seagrass habitats. Technical Report, Suganthi Devadason Marine Research Institute, Tuticorin, Tamil Nadu, 2013, p. 29.
- Venkataraman, K., Sivaperuman, C. and Raghunathan, C., Ecology and Conservation of Tropical Marine Faunal Communities, Springer Science & Business Media, Berlin, Heidelberg, 2013, p. 500.
- Lyons, D. O. and Dunne, J. J., Reproductive cost to male and female worm pipefish. J. Fish Biol., 2003, 62, 767–773.
- Bal, J. N. and Jones, J. W., On the growth of brown trout of CYN Tegid. Proc. Zool. Soc. London, 1960, 134, 1–4.
- Anderson, R. O. and Neumann, R. M., Length, weight and associated structural indices. In Fisheries Techniques (eds Murphy, B. R. and Willis, D. W.), American Fisheries Society, Bethesda, Maryland, USA, 1996, 2nd edn, pp. 447–482.
- Shokri, M. R., Gladstone, W. and Jelbart, J., The effectiveness of seahorse and pipefish (Pisces: Syngnathidae) as a flagship group to evaluate the conservation value of estuarine seagrass beds. Aquat. Conserv., 2009, 19, 588–595.
- A Study of Physico-Chemical Analysis of Ground Water in and Around SIPCOT, Tuticorin, Tamil Nadu, India
Authors
1 Department of Chemistry, Wollega University, Nekemte, ET
2 Department of Chemistry, Sadakathullah Appa College, Tirunelveli-627011, Tamil Nadu, IN