KRISHNAVENI.K

Cell: 801-***-****.

E-mail ID:

Krishnaveniarun428888

@gmail.com

Contact Address:

D.No: 118, Kalaimagal street,

Asokapuram,

Erode-638 004,

Personal Data:

Father :Karnan.M

Date of Birth : 17/04/1995

Sex : Female

Nationality : Indian

Marital Status : Single

Languages Known

Tamil, English .

Objective

To seek a challenging career as a software engineer and making an important contribution to the project and gain knowledge.

Course

Board/University

% of Mark

B.TECH-IT

SSM COLLEGE OF ENGINEERING

75 (CGPA)

HSC

MRG.G.G.H.S.SCHOOL

74%

SSLC

MRG.G.G.H.S.SCHOOL

86%

Technical Skills

Operating System :Windows, Linux.

Languages : C,JAVA.

Database : SQL, Oracle,

Area of Interest

Networking

Software Testing

Data Mining

Achievement

Class topper in All Semester

Extra Curricular Activities

Member in Lions club

Volunteer in Nss

Strengths

Self Dependent

Presents of Mind

Optimistic person

Honest person

CURRICULAM VITAE

BE-Project

1. Noise Gives Power ( Mobile Phone Charging )

In our daily use we use many products in which the conversion between sound energy and electric energy takes place for e.g.:-mic, speaker, mobile phone,transducers. however the amount of conversion is very small and we require large amount of energy to convert it as sound wave is a mechanical wave when it travels through a medium it disturbs the particle of the medium these disturbance created by sound could be used to produce electricity by the law of thermodynamics. sound energy is a mechanical energy which travel in the form of wave, mechanical wave that is an oscillation of pressure which need medium to travel. aim: to convert sound energy to electrical energy.

2. Steganalysis using Lossless Compression of video Stegnography

This article introduces a novel feature set for steganalysis of AVI video. The features are engineered as first-order statistics of quantized noise residuals obtained from the decompressed AVI video using 64 kernels of the discrete cosine transform (the so-called undecimated DCT). This approach can be interpreted as a projection model in the JPEG domain, forming thus a counterpart to the projection spatial rich model. The most appealing aspect of this proposed steganalysis feature set is its low computational complexity, lower dimensionality in comparison to other rich models, and a competitive performance w.r.t. previously proposed JPEG domain steganalysis features.

DECLARATION

I hereby declare that the particulars given are true to the best of my knowledge and belief. Should I be given an opportunity to serve in your esteemed organization .I shall do my favorable to your expectation.

DATE: Signature

PLACE:

(KRISHNAVENI.K )

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