IJSRD : RESEARCH PAPER PUBLICATION IN INDIA

#IJSRD #CALLFORPAPER

Volume 7 | Issue 2 April 2K19

#Leading E-Journal in Engineering & Science

#High Impact Factor

Visit www.ijsrd.com

IJSRD | Peer Reviewed Journal | Call for Paper

Call For Paper | IJSRD Journal

ISSN (Online)  : 2321-0613

Subject Category    : Engineering Science and Technology

Frequency               : Monthly, 12 issues per year

Last Date                 : 25th of Current Month

Impact Factor          : 4.396 (2016)

IC Value                  : 64.81 (2016)

Publication Charge : 750/- INR (Indian Author) | 50$ USD (Foreign Author)

Submit Your Article : Click Here  |  Thousand of published article : Click Here

National Conference on Computational and Mathematical Sciences (COMPUTATIA-V) : IJSRD

5th NATIONAL CONFERENCE

on Computational and Mathematical Sciences

(March 18th & 19th, 2016)

in association with International Journal for Scientific Research & Development (IJSRD)

ABOUT THE CONFERENCE

The Conference proposes to bring together experts, researchers, faculties, students and the leaders of industries for sharing their knowledge and expertise in the field related to Computer and Mathematical Sciences.

We have successfully organized four National Conferences named “COMPUTATIA” since 2011. Following that this year also we are organizing COMPUTATIA-V “Two Days National Conference on Computational and Mathematical Sciences” on March 18th-19th, 2016.

PUBLICATION

Authors are requested to submit their abstracts in MS WORD file format at email-id: computatia.2012@gmail.com orcomputatia@vitej.ac.in on or before 9th March, 2016.

The Selected Papers will be published in IJSRD (International Journal for Scientific Research and Development) having ISSN (online): 2321-0613 and Impact Factor: 2.39

BROCHURE

Click to Download Registration Form

“Habitat Conclave 2016” | IJSRD

“Habitat Conclave 2016”
Youth Conclave
presents
Paper presentation on
“Smart & Sustainable City”
In association with
IJSRD – International Journal for Scientific Research & Development

Gujarat Institute of Civil Engineers & Architects (GICEA)is organizing 4-dayevent named “Habitat Conclave 2016”on 18th-21st February 2016.Under Youth Conclave Paper Presentation on Smart & Sustainable city is being managed by IJSRD.This event aims to cover the recent trends of research in the field of "Smart & Sustainable City".
Interested participants/Authors can prepare a paper/article showing their idea in the well managed format. They have to submit their article here. Innovative ideas will be selected and participants will be called for presentation during event.
Researchers working on Smart & Sustainable City development can submit their papers under following themes but not limited to.

1. Culture &heritage of Smart city                         
2. Green building and Smart Cities
3. Sustainable cities issues & solutions
4. Urban trends in Smart City Planning
5. Sustainable Smart Tourism
6. Urban Infrastructure issues and solutions
7. Sustainable Urban Environmental Design
8. Smart Urban Transportation Planning
9. National & Individual needs in smart cities
10. Smart, Urban, Congestion free Sustainable Mobility

Click here to download information brochure

Organized by,

Gujarat Institute of Civil Engineers & Architects

Nirman Bhavan, Opp. Law Garden, Ellisbridge, 

Ahmedabad, Gujarat, India - 380006.

Website: www.gicea.org

Youth Conclave Paper presentation Partner

International Journal for Scientific Research & Development 

Website : www.ijsrd.com

IoT for Everyday Life

IJSRD || National Conference on ICT & IoT || January 2016

IJSRD Found one good research work in Topic of "Internet of Thing" of computer engineering research area.Which is most useful for scholar students.

Author(s):
Madhavi Dave , Institute of Information & Communication Technology, Indus University, Ahmedabad.

Keywords:
Virtual Private Network (VPN), CoAP, XMPP server

Abstract

In today's emerging world of Internet, each and every thing is supposed to be in connected mode with the help of billions of smart devices. By connecting all the devises used in our day to day life, make our life trouble less and easy. We are incorporated in a world where we are used to have smart phones, smart cars, smart gadgets, smart homes and smart cities. Different institutes and researchers are working for creating a smart world for us but real question which we need to emphasis on is how to make dumb devises talk with uncommon hardware and communication technology. For the same what kind of mechanism to use with various protocols and less human interaction. The purpose is to provide the key area for application of IoT and a platform on which various devices having different mechanism and protocols can communicate with an integrated architecture.

Introduction:

As being the global network, IoT need to connect actual and virtual devises with efficient data sharing method, secured datastorage using cloud computing and robust inter network connectivity. Iot is responsible to connect millions of objects (things) which can impact major factors like healthcare, home, security, utility and appliances, communication, business, transportation, education, government, science, humanity, retail and emergency services.

For full length article Click Here....

Constrained Based Feature Subset Selection Algorithm for High Dimensional Data

IJSRD - International Journal for Scientific Research & Development| Vol. 2, Issue 10, 2014 | ISSN (online): 2321-0613

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