Computer Science Project

RESUME

V.K.MYTHILIRAGUBALAKRISHNAN

Email id:***********@*****.***

Mobile no: +91-834*******

OBJECTIVE

To work in a challenging environment where I can explore my skills and talents and work towards the growth of this institution.

STRENGTHS

Positive attitude, self-confidence, observation shortly.

PERSONAL DETAILS

Name : Mythiliragubalakrishnan. V. K

Age & Date of Birth : 26 & 30.05.1989

Sex : Female

Marital status : Married

Husband name : Ragubalakrishnan .S

Mailing address : No.2 2nd street,

Shringar nagar,

Peelamedu,

Coimbatore – 641 004.

Mobile no : +91-834*******

Email id : ***********@*****.***

Nationality : Indian

Region : Hindu

Languages known : Tamil and English (Verbal & Written)

Hobbies : Reading novels, design work

and surfing internet

SUMMARY OF QUALIFICATION

Mater of Philosophy (Batch - 2012 to 2013)

Specialization : Computer Science.

Institution : Erode Arts and Science College (Autonomous),

Status : Part – I & Part – II Complete. (Theory, Dissertation)

University : Bharathiar University, Coimbatore.

Master of Computer Science (Batch – 2009 to 2011)

Specialization : Computer Science.

Institution : K.S.R.College of Arts and Science, Tiruchengode.

Percentage : 81%

University : Periyar University, Salem.

Bachelor of Computer Science (Batch – 2006 to 2009)

Specialization : Computer Science.

Institution : Nandha Arts and Science College.

Percentage : 76.5%

University : Bharathiar University, Coimbatore.

HSC (2006)

Institution : Shree Maha Hr.Sec.School, Ingur.

Percentage : 76 %

AREA OF INTEREST

Image processing

Computer Networks

Designing webpage

SOFTWARE KNOWLEDGE

Programming Languages : C, C++, Java.

Web Technology : HTML & XML.

Packages : MS-Office, VB

( MS-Access& vb.net).

Database : Oracle & SQL

Simulation Tools : Matlab.

Operating System : Windows XP, 07, LINUX

Thesis - (M.PHIL)

Project – (M.Sc)

Title : “Reconstruction on color image Processing using Half

toning and Vector Quantization Techniques”

Project Description :

Deals with Image Compression is a technique of efficiently coding digital image to reduce the number of bits required in representing an image. It has represented a reconstruction of color image using half tone and kekre fast code book generation vector quantization. The performance of the proposed approach is evaluated on the basis of metric MSE, PSNR and SSIM. The performance compared with different code book size.

Title : “Comparative Analysis of Classification Algorithm for lungs

Medical Images”

Project Description :

Concern with Image Classification is a technique to classify the image in various application. Here, the features are extracted from lungs images using GLCM ( Gray-Level Co-occurrence Matrix) features. Feature selection from images using selection algorithms (SVM,Back Propagation, Ant miner, J48 ). The proposed method is Hybrid approach algorithm for classify the lungs image to find the X-ray image is normal or abnormal stage. Finally, comparative of analysis of different classification algorithm.

SEMINARS AND WORKSHOPS ATTENDED

Presented paper at National Level Conference in Erode Arts and Science College (Autonomous), Erode on (9th March 2013).

Participated in the workshop on networking in KGISL Institute of Information Management, Coimbatore on (06.02.2013).

Participated in the Third International seminar on “Research in computers: Why, What and How?” held at Bharathiar University, Coimbatore on (11th March 2013).

National Workshop on LaTex and Scilab, at K.S.R college of arts and science, Tiruchengode, 2 - 5, Dec, 2010.

DECLARATION

I hereby declare that the particulars of information and facts stated above are true, correct, and complete to the best of my knowledge.

V.K.Mythili

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