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

Wednesday 23 September 2015

NCIL – 2015 #IJSRD Publication Partner

NCIL - 2015
National Conference on "Student-driven Research for Inspired Learning" in Science and Technology
Organised by ESRC and Dept of Electronics
Publication Partner International Journal for scientific research & Development (IJSRD)
Date: 16-17 October 2015

NCIL - 2015:Publication Partner International Journal for scientific research & Development (IJSRD)

NCIL - 2015
National Conference on "Student-driven Research for Inspired Learning" in Science and Technology
Organised by ESRC and Dept of Electronics
Publication Partner International Journal for scientific research & Development (IJSRD)
Date: 16-17 October 2015
NCIL - 2015

Objective

We are pleased to announce the 2nd National Conference on “Student-driven Research for Inspired Learning” (NCIL 2015) in Science and Technology on 16 - 17 October 2015 being organized by Embedded Systems and Robotics Centre (ESRC) and Department of Electronics, Maharaja Agrasen College, University of Delhi.
The primary objective of this conference is to provide a forum to share the wide and varied practices and initiatives of the student driven and institutionally-supported research at the undergraduate/ postgraduate level which leads to the combination of factors necessary for pedagogical effectiveness, enhanced learning outcomes, research productivity, promote networking and stimulate discussion.
The spot light of the conference shall vary widely from broad research to technical skills with focus on group research where students are exposed to open-ended problems, but in a more structured and less resource intensive way than one-on-one mentoring typical of research experience for undergraduate/ postgraduate programs.

Call for Papers

We invite Educators, Scholars and Students to contribute to the conference with papers/posters that address themes mentioned above. Faculty members / Students interested to attend the conference may register by filling registration form attached below latest by 10th September 2015. Early submissions are welcome. The papers received will be reviewed by a panel of experts and the authors of the selected papers will be informed accordingly.
All papers presented in the conference shall be published in Special edition of International Journal  for Scientific Research & Development (ISSN No (online). 2321-0613. Impact Factor: 2.39)


Publication Partner

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


Tuesday 22 September 2015

A Framework for Performance Analysis of Computing Clouds

IJSRD Found good research work on Computer Engineering Reseach area


Author :Mintu M. Ladani , Vinit kumar Gupta

College Name :Hasmukh Goswami College of Engineering,Vahelal

Ijsrd Call For Paper : Data Mining

Special Issue For Data Mining 


Dear Researchers/Authors,

IJSRD is promoting a new field of this Digital Generation-“Data Mining”. In accordance to it IJSRD is inviting research Papers from you on subject of Data Mining. This is under special Issue Publication by IJSRD. In addition to this authors will have a chance to win the Best Paper Award under this category.

To submit your research paper on Data Mining Click here


What is Data Mining..?



Data mining (the analysis step of the "Knowledge Discovery in Databases" process. The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use.
The actual data mining task is the automatic or semi-automatic analysis of large quantities of data to extract previously unknown, interesting patterns such as groups of data records, unusual records and dependencies.The Knowledge Discovery in Databases (KDD) process is commonly defined with the stages:
(1) Selection
(2) Pre-processing
(3) Transformation
(4) Data Mining
(5) Interpretation/Evaluation.

For More information click here

Saturday 8 August 2015

Special Issue For Image Processing

Best 25 papers will be published online.Participate in this special issue and get a chance to win the Best Paper Award for Image Processing. Also other authors will have special prizes to be won.



What is Image Processing?
Image processing is a method to convert an image into digital form and perform some operations on it, in order to get an enhanced image or to extract some useful information from it. It is a type of signal dispensation in which input is image, like video frame or photograph and output may be image or characteristics associated with that image. Usually Image Processingsystem includes treating images as two dimensional signals while applying already set signal processing methods to them. 
It is among rapidly growing technologies today, with its applications in various aspects of a business. Image Processing forms core research area within engineering and computer science disciplines too.Image processing usually refers to digital image processing, but optical and analog image processing also are possible.
Analog or visual techniques of image processing can be used for the hard copies like printouts and photographs. Image analysts use various fundamentals of interpretation while using these visual techniques. The image processing is not just confined to area that has to be studied but on knowledge of analyst. Association is another important tool in image processing through visual techniques. So analysts apply a combination of personal knowledge and collateral data to image processing.
Digital Processing techniques help in manipulation of the digital images by using computers. As raw data from imaging sensors from satellite platform contains deficiencies. To get over such flaws and to get originality of information, it has to undergo various phases of processing. The three general phases that all types of data have to undergo while using digital technique are Pre- processing, enhancement and display, information extraction.
If you have worked on any part of image processing prepare a research paper and submit to us
Image processing basically includes the following three steps.
  • Importing the image with optical scanner or by digital photography.The acquisition of images (producing the input image in the first place) is referred to as imaging.
  • Analyzing and manipulating the image which includes data compression and image enhancement and spotting patterns that are not to human eyes like satellite photographs.
  • Output is the last stage in which result can be altered image or report that is based on image analysis.

Purpose of Image processing
The purpose of image processing is divided into various groups. They are:
  • Visualization - Observe the objects that are not visible.
  • Image sharpening and restoration - To create a better image.
  • Image retrieval - Seek for the image of interest.
  • Measurement of pattern – Measures various objects in an image.
  • Image Recognition – Distinguish the objects in an image.

Applications of Image processing
Image processing has been an important stream of Research for various fields. Some of the application areas of Image processing are….
Intelligent Transportation Systems – E.g. Automatic Number Plate Recognition, Traffic Sign Recognition
Remote Sensing –E.g.Imaging of earth surfaces using multi Spectral Scanners/Cameras, Techniques to interpret captured images etc.
Object Tracking – E.g. Automated Guided Vehicles, Motion based Tracking, Object Recognition
 Defense surveillance – E.g. Analysis of Spatial Images, Object Distribution Pattern Analysis of Various wings of defense. Earth Imaging using UAV etc.
 Biomedical Imaging & Analysis – E.g. Various Imaging using X- ray, Ultrasound, computer aided tomography (CT) etc. Disease Prediction using acquired images, Digital mammograms.etc.
Automatic Visual Inspection System – E.g.Automatic inspection of incandescent lamp filaments, Automatic surface inspection systems,    Faulty component identification etc.
And many other applications…..
To contribute your research work in Image processing please prepare an article on it and submit to us.
http://www.ijsrd.com/SpecialIssue

Saturday 28 February 2015

#IJSRD #New Milestone #Leading E-Journal #India

Thanks 2 all Authors For Making Fastest Growing E-Journal of INDIA.
IJSRD Successfully Completed 24 Issue.
Submission is open For Volume 3 - Issue 1 ,2015
Papers Received - More then 10000
Total Authors- More then 12000
Accepted Papers - More Then 3200