Big Data and Cloud Computing in SDN
Journal Title: International Journal of Emerging Technologies in Computational and Applied Sciences - Year 2018, Vol 25, Issue 1
Abstract
Data has become the most powerful and powerful application in all applications such as Smart Applications, IT industry, and IT business. Massive data such as the word used to identify datasets that exceed the size of the typical database software tools on storage, management and analysis. Therefore, it has the ability to make very fast or faster progress in many scientific fields and improve the profitability of many companies. Massive data presents many difficulties in good execution, including scalability, storage, and noise accumulation, falsification, and measurement errors. These challenges are characterized and studied and require a new mathematical and statistical model. This paper presents the general and background characteristics of the huge data and related technologies, issues and challenges with a focus on the distinctive features of the massive data, and discusses some ways to deal with big or massive data
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Mathematical Methods for Separation of Overlapping Asymmetrical Peaks in Spectroscopy and Chromatography. Case study: One-Dimensional Signals
Mathematical methods for separation of overlapping asymmetrical peaks in spectroscopy and chromatography were reviewed. Evaluation of initial peak parameters and curve fitting algorithms has been discussed.
Design and Structural Analysis of Mast Member of Hydraulic RIG
Drilling rig is a machine that creates holes in the earth subsurface. Mast, a key part of hydraulic drilling rig, is a large steel structure with box section which loads all kinds of workforces. This paper focuses on the...
A Novel Recruitment Model Using Emotional Filter
This research paper has designed a novel model for recruitment using emotional filter as separator in eliminating emotional issues which indeed has been trading across sectors: public and private, perhaps preventing the...
Using of the undetectable perturbations for determining confidence intervals of parameters of overlapping asymmetrical peaks estimated by nonlinear curve fitting
Decomposition of overlapping peaks is one of the most commonly used computer-enhanced procedures of instrumental analytical chemistry which is usually performed by nonlinear fitting a predefined model to the measured dat...