Engineering Assistant

Neela Vasagan k DOB: *th June, ****

Permanent Address: Correspondence

address:

*/*** ***** ******, ****** Nagar,

Mela ariyakulam, Tata Power House

Tirunelveli (dist.) Borivali (E)

Pin -627108 Mumbai

Email Address: *********@*****.***

Contact number:+919*********

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* Objective:

To obtain a challenging position, utilizing abilities

developed through my education,

with the opportunity for professional growth based on performance.

* Career Interests:

. Java Programming

. Networking

. Hyper Text Markup Language (HTML)

. C Programming

. PHP

* Educational Qualification:

Examination University Institute Year Percentage

B.Tech Anna University, Jayamatha Engineering 2013 74

college, Aralvaimozhi

Chennai

Diploma in IT Directorate of S.A Raja's Polytechnic 2010 86.75

Technical college,

Education, Vadakkankulam.

Chennai.

SSLC Tamil Nadu State Govt H S S, 2007 68

Board Moolaikaraipatti.

Project:

. B.Tech:

Title: "Evaluation of Uncertain Location."

Guide: Mrs. P.Jose, Assistant Professor, CSE Dept., Jayamatha Engineering

College.

Abstract:

In many applications, including location-based services, queries

may not be precise. The problem of efficiently computing range aggregates

in a multidimensional space when the query location is uncertain.

Specifically, for a query point Q whose location is uncertain and a set S

of points in a multidimensional space, user want to calculate the aggregate

(e.g., count, average and sum) over the subset S'of S such that for each p

E S, Q has at least probability ? within the distance ? to p. Propose

efficient techniques to solve the problem follow ing the filtering-and-

verification paradigm. The existing techniques for processing location

based spatial query points and data points are not applicable There are

two filtering techniques are proposed to effectively and efficiently remove

data points from verification namely Statistical Filtering Technique and

Anchor Point Filtering Technique .Comprehensive experiments based on both

real and synthetic data demonstrate the efficiency and scalability of

techniques.

* Personal skills.

Quick Absorbing Knowledge and innovative

Comprehensive Problem solving abilities.

Ability to adapt with various situations and maintain the coolness.

Self-motivated and self-disciplined.

Ability to deal with people diplomatically.

Willingness to learn, team facilitator and a hard worker.

I hereby declare that all the information given by me is authentic.

Signature

(Neela vasagan)

Reference:

Prof Mrs. R.Uma,

HOD of IT DEPT,

Jayamatha Engineering College,

Aralvaimozhi.

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