Notice Board :

Call for Paper
Vol. 10 Issue 5

Submission Start Date:
May 01, 2018

Acceptence Notification Start:
May 22, 2018

Submission End:
May 25, 2018

Final MenuScript Due:
June 05, 2018

Publication Date:
June 15, 2018
                         Notice Board: Call for PaperVol. 10 Issue 5      Submission Start Date: May 01, 2018      Acceptence Notification Start: May 22, 2018      Submission End: May 25, 2018      Final MenuScript Due: June 05, 2018      Publication Date: June 15, 2018




Volume VI Issue VII

Author Name
N Junejo
Year Of Publication
2014
Volume and Issue
Volume 6 Issue 7
Abstract
supernatural isolation of wheat, mustard and chickpea developed under variable water supply was done by using hand held spectro-radiometer and infra-red thermometer. Red and infra-red reflectance from the crop shade and shade thermal atmosphere through canopy-air temperature variation were recorded at different stages of the crop development. Spectral indices, such as IR/R, Normalized Difference Vegetation Index (NDVI) and Infrared-Red (IR-R, from the spectro-radiometric inspection) and growing stress degree days were developed, which were consequently used to distinguish these crops through Leaf Area Index (LAI), biomass and final grain yield. The three crops were spectrally variant between themselves as well as inside each crop grown under discrepancy sequence of partial/moderate inputs of water. This study, through development of transfer function for involving with satellite resulting indices, can efficiently assist in operational satellite remote sensing for crops’ inequi
PaperID
2014EUSRM7201410317

Author Name
E Garcia-Ruiz, C S Dlamini
Year Of Publication
2014
Volume and Issue
Volume 6 Issue 7
Abstract
Discovery of association rules is a critical problem in data mining. Two sub-problems of mining association rules. First find out recurrent item sets from dataset and then build up association rules based on recurrent item sets. The significant aspect is time required for ruling recurrent item sets. All the earlier algorithms are not proficient and scalable for mining recurrent item sets in transaction datasets. In this paper, we present an unifying aspect for generating recurrent item set algorithms. The performance analysis with plum, Hepatitis, Heart datasets. The algorithms analysis using different minimum support, number of rows and columns.
PaperID
2014EUSRM7201410382

Author Name
B Thakre, K Barua
Year Of Publication
2014
Volume and Issue
Volume 6 Issue 7
Abstract
Web site design is critical to the success of electronic commerce and digital government. Effective design requires appropriate evaluation methods and measurement metrics. We define Web site navigability as the extent to which a visitor can use a Web site’s hyperlink structure to locate target contents successfully in an easy and efficient manner. In this research, we propose an algorithm to automatically find pages in a website whose location is different from where visitors expect to find them. To find the required information accurately two or more web log files are merged. We present an algorithm for discovering such expected locations that can handle page caching by the browser. Expected locations with a significant number of hits are then presented to the website administrator. We also present algorithms for selecting expected locations (for adding navigation links) to optimize the benefit to the website or the visitor. Create an graphical representation of parti
PaperID
2014/EUSRM/7/2014/10425

Author Name
B ETO
Year Of Publication
2014
Volume and Issue
Volume 6 Issue 7
Abstract
Amoebiasis is because of mobility and shape changes of amoeba cells and might cause 70.000 deaths year. Amoeba cells are observed on phase microscopy images, which are normally very poor in visual quality. Classical shape characterization methods don't perform well on such images. We present a replacement method of shape characterization of cells supported their skeleton extraction on grayscale images. The grayscale cells are segmented by computing a dispersion indicator. A signed sequential Euclidean distance map is elaborated and a technique of extraction of the Euclidean skeleton is customized to the grey level cells. The tactic is applied to biological cells so as to characterize shape changes of amoebas.
PaperID
2014EUSRM7201410445