Tuesday 24 November 2015

Mine Blood Donors Information through Improved K Means Clustering

International Journal For Scientific Research & Development


Author(s):
Paridhi Pachori , College of Engineering, Bharati Vidyapeeth University, Pune

Keywords:
Alzheimer Disease, Mine Blood Donors Information, Clustering Algorithm

Abstract:
The number of accidents and health diseases increasing at an alarming rate has resulted in a huge increase in the demand for blood. There is a necessity for the organized analysis of the blood donor database or blood banks repositories. Clustering analysis is one of the data mining applications and K-means clustering algorithm is the fundamental algorithm and traditional approach for modern clustering techniques. The K-means clustering is an iterative algorithm which attempts to find the distance from the centroid of each cluster to each and every data point at every iteration. This paper gives the improvement to the original k-means algorithm by improving the initial centroids with distribution of data. Results and discussions show that improved K-means algorithm produces accurate clusters in less computation time to find the donors information.

I. INTRODUCTION
Data Mining is defined as mining of knowledge from huge amount of data. Using Data mining we can predict the nature and behavior of any kind of data. The past two decades has seen a dramatic increase in the amount of information being stored in the electronic format. This accumulation of data has taken place at an explosive rate. 

Cluster Analysis of a data is an important task in Knowledge Discovery and Data Mining. Clustering is the process to group the data on the basis of similarities and dissimilarities among the data elements. Clustering is the process of finding the group of objects such that object in one group will be similar to one another and different from the objects in the other group. A good clustering method will produce high quality clusters with high intra cluster distance similarity and low inter cluster distance similarity. Similarity measure used is standard Euclidean distance but there can also be other distance measures such as Manhattan distance, Minkowski distance and many others.

For more information Click Here

Monday 16 November 2015

A Nobel Design of An Efficient Decimator using Matlab Simulink


Author(s):

Aditi , DIT University, Dehradun; Abhinav Chauhan, DIT University, Dehradun; D. N. Rao, DIT University, Dehradun; Sandeep Sharma, DIT University, Dehradun

Keywords:

Digital Signal Processing, Filters, Multirate, Decimation, Interpolation And Matlab Simulink

Abstract

The need to process data at more than one sampling rate is increasing in modern digital systems. Through this paper we are presenting the various techniques of altering the sampling rate in a multi rate system and we have also discussed the filter requirements for efficient output of the decimator for the professional recording production equipment application having a sampling rate of 96 kHz. We have also compared the total storage requirements (TSR) and multiplications per second (MPS) requirements at each stage of decimator using Matlab Simulink.

Preview

For Full Article Click Here....

Monday 9 November 2015

IJSRD: Conference

NATIONAL CONFERENCE ON ICT

Transforming ICT to IoT


In association with


IJSRD– International Journal for Scientific Research & Development

SAL Institute of Technology & Engineering Research, affiliated to the Gujarat Technological University, Ahmedabad., is organizing 1-day event named National Conference on ICT”  on 20th January 2016 in association with IJSRD.
The conference aims to provide an opportunity to teachers/mentors/ educators and students to acknowledge, celebrate and showcase research being carried out by students by enabling them to engage with the wider communities to exchange ideas and share intellectual activity through paper presentations sessions. The event shall feature research papers presentations by eminent educators and students from all over India in the field of ICT (Information and Communication Technologies) & IoT (Internet of Things).


Organised by

SAL Institute of Technology & Engineering Research
Opp, Science city, Sola Bhadaj Road,
Ahmedabad, Gujarat 380060
Website : www.sal.edu.in


Publication Partner

IJSRDInternational Journal  for Scientific Research & Development
Website: ijsrd.com