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Title:

[QUOTE=Guest;213773]S.A. VIMAL
[b]E-mail [/b]: Vimal.er01 AT gmail.com 
 OBJECTIVE 
- To pursue a challenging career and to shape myself as a better Engineer of future Technologies. 
 ACADEMIC DETAILS 
- Bachelor of Engineering (Electronics & Communication Engineering), Rrase College of Engineering , Padapai 
 (Academic Year 2009-2012).
- Diploma (Information Technology), Sri Balaji Polytechnic, Vandalour, Kollapakkam, Chennai.
(Academic Year 2006-2009).
- SSLC Vellankanni Matriculation Higher Secondary School, Chennai (Academic Year 2004).
PERSONAL SKILLS
- Problem solving abilities, Good communication skills, Ability to deal with people diplomatically, willingness to learn, team facilitator.
 TECHNICAL SKILL SET
[b]- GUI  [/b]: MS Office. 
[b]- RDBMS  [/b]: Oracle8.0.
[b]- Worked on  [/b]: Windows. 
[b]- Software  [/b]: Or cad, NS 2 (Rtsim), Xilinx 10.1, MATLABR2010b.
SEMINARS AND CONFERENCE
- Presented paper “Fractal Image Compression Based on Quad tree Method using DCT” in the “National Conference on Emerging Trends in Communication, VLSI, image processing (NCETCVIP ’12)” at Gojan School of Business and Technology, Red hills, Chennai on March 24, 2012.
ACADEMIC PROJECT
[b]Diploma Project [/b]:
MEDIA STREAMING IN MOBILE USING J2ME TOOLKIT
[b]Duration  [/b]: 3 Months.
[b]Team size  [/b]: 6.
 [b]Front End  [/b]: JAVA, JSP.
 [b]Back End  [/b]: MS Access.
[b]Venue  [/b]: Sri Balaji Polytechnic College.
[b]Description [/b]: In this paper, the users are allowed to select their web cam from remote location to view latest snapshot of the web cam images. The remote application directs web cam to take snapshot in order of frames these frames will be send to remote user. Media streaming in mobile also reduces the end-to-end latency of scrolling web pages at DSL speeds. State-of-the-art lossless compression methods have enabled thin client computing across WAN. Finally the new codec TCC-M used here, typically compresses more than 50 to 950 times more efficiently than previously used codec TCC.
[b]Professional Project [/b]:
FRACTAL IMAGE COMPRESSION BASED ON QUAD TREE METHOD USING DCT
[b]Duration  [/b]: 3 Months.
[b]Team size  [/b]: 4.
[b]Software  [/b]: Matlab R2010b.
[b]Venue  [/b]: Rrase College of Engineering.
[b]Description  [/b]: In this paper, a fast classification algorithm namely DCT coefficient is proposed. Simulation results show that the runtime of proposed algorithm is reduced greatly compared to existing methods. At the same time, the new algorithm also achieved high PSNR values.
TECHNICAL QUALIFICATION
- Multimedia (Web Designing).
- Junior diploma in computer science (JDCS).
CO-CURRICULAR ACTIVITIES 
- Participated in National Level Technical Symposium in (Valliammai Engineering College).
- In plant training in AIR INDIA at NACIL Chennai. 
DECLARATION
 
 I hereby declare that the above information’s given by me are true to the best of my knowledge.
[b]Place [/b]: Chennai 
[b]Date [/b]: VIMAL.S.A[/QUOTE]

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