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[QUOTE=Guest-IJT;133479][b]Name [/b]: ARUN
[b]Email [/b]: arns86 AT gmail.com
[b]Designation / Skillset[/b] : bangalore/software(development r testing)/c,c++,java,dot net
This is ARUN
Searching for software jobs(development r testing)
please find my resume in word formate
thanking you
ARUN.S

[u][b]Resume[/b][/u] :
 CURRICULUM VITAE
 [b]Name [/b]: ARUN S Email: arns86 AT gmail.com

Objective
 
 I seek an environment that is challenging and learning, and intellectually and professionally stimulating environment where I can apply my knowledge and skills to accomplish the dual objectives of contributing in the growth of my work place as well as enriching my own knowledge, skills and experience.
 Educational qualification
Class/Course Name of Institute Board/University Year of Passing Marks%
BE
Computer Science & Engineering KNSIT,
 Bangalore Visvesvaraya Technological University 2011 55.35
PUC PES PU college,
 Bangalore. PU Board 2004 43.66
SSLC Bangalore Higher Secondary School, Bangalore. KSSEB 2002 61.76
 
Technical Skills
 [b]Key Skills(Languages)  [/b]: C, C++, JAVA, C# & .NET
[b]Soft Skills  [/b]: Adaptable, Team worker, Passion to learn new things
Academic Projects
[b]B.E Project [/b]:
[b]Title  [/b]: A NOVEL APPROACH FOR ONLINE SIGNATURE VERIFICATION
 USING FISHER BASED PROBABILISTIC NEURAL NETWORK 
[b]Platform  [/b]: C#.net
[b]Role  [/b]: We described an effective method for online signature verification 
The rapid advancements in communication, networking and mobility have entailed an urgency to further develop basic biometric capabilities to face security challenges. Online signature authentication is increasingly gaining interest thanks to the advent of high quality signature devices. We propose a new approach for automatic authentication using dynamic signature. The key features consist in using a powerful combination of linear discriminant analysis (LDA) and probabibilistic neural network (PNN) model together with an appropriate decision making process. LDA is used to reduce the dimensionality of the feature space while maintaining discrimination between users. Based on its results, a PNN model is constructed and used for matching purposes. Then a decision making process relying on an appropriate decision rule is performed to accept or reject a claimed identity. Data sets from SVC 2010 have been used to assess the performance of the proposed system. The results show that the proposed method competes with and even outperforms existing methods.
Hobbies
 Playing Cricket, listening to music.

Declaration
 I hereby declare that the information furnished above is true to the best of my knowledge.
 
[b]Place [/b]: Bangalore Name: ARUN S
 [b]Date [/b]:
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[b]More Information about this submission and submitter [/b]:-
___________________________________________________
[b]Submission ID  [/b]: 4366359
[b]Date & Time  [/b]: 13th Jul 2011 11:35 AM (UTC)
[b]IP Address  [/b]: 1.23.208.20
[b]Browser Info  [/b]: Mozilla/5.0 (Windows NT 5.1) AppleWebKit/534.30 (KHTML, like Gecko) Chrome/12.0.742.112 Safari/534.30
Predicted Country : --[/QUOTE]

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