SUBMITTED BY:-
*MALKEET SINGH
*HARPREET SINGH

CENTER:-
*ACE-Rudrapur

PROBLEM STATEMENT


Due to the several discerpancres that occur in their work, they have approached us to provide a solution by incorporating a stand alone application, through which all the work that is to be done by the agency people can be easily managed and also they can overcome the discrepancies that occur in their work.

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SIX SIGMA -Quality Improvement Program

ABSTRACT:
Six Sigma is a smarter way to manage business or department. It is a vision of quality that equates with only 3.4 defects for million opportunities for each product or service transactions. Strives for perfection.
We believe that defects free product can be in any organization implementing six sigma. In this paper, we presented an overview of the process which explains how six sigma increase the overall quality improvement task into a series of project manageme ....etc

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Dear sir,

Please correction my samgra id 128969290 name palendr malviy this is in correct name .
correct name is palendra katesaria .so please correct my name samgra id.

Thanks

Palendra Katesaria
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I INTRODUCTION

1. Tuber Crops
Tuber crops are the third most important food crops of man after cereals and grain legumes. These are a group of plants which produce underground plant ....etc

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ABSTRACT
Wardriving is searching for Wi-Fi wireless networks by moving vehicle. It involves using a car or truck and a Wi-Fi-equipped computer, such as a laptop or a PDA, to detect the networks. It was also known as 'WiLDing' (Wireless Lan Driving).
Many wardrivers use GPS devices to measure the location of the network find and log it on a website. For better range, antennas are built or bought, and vary from omnidirectional to highly directional. Software for wardriving is freely available on the Internet, notably, NetS ....etc

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segmentation algorithm for medical image segmentation. The use of the conventional watershed algorithm for medical image analysis is widespread because of its advantages, such as always being able to produce a complete division of the image. However, its drawbacks include over-segmentation and sensitivity to false edges. We address the drawbacks of the conventional watershed algorithm when it is applied to medical images by using k-means clustering to produce a primary segmentation of the image before we apply our improved watershed segmentatio ....etc

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