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Surviving Multiple Failures in Multicast Virtual Networks With Virtual Machines Migration
(
IEEE
, 2016 , Article)
This paper deals with the multiple link/node substrate failures that impact a multicast virtual network (MVN) in which link recovery is not feasible and node migration is mandatory. A novel restoration approach is introduced ...
A sentiment treebank and morphologically enriched recursive deep models for effective sentiment analysis in Arabic
(
Association for Computing Machinery
, 2017 , Article)
Accurate sentiment analysis models encode the sentiment of words and their combinations to predict the overall sentiment of a sentence. This task becomes challenging when applied to morphologically rich languages (MRL). ...
Urban air pollution monitoring system with forecasting models
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Article)
A system for monitoring and forecasting urban air pollution is presented in this paper. The system uses low-cost air-quality monitoring motes that are equipped with an array of gaseous and meteorological sensors. These ...
Restoration methods for cloud multicast virtual networks
(
Academic Press
, 2017 , Article)
Providing reliability guarantees for services hosted in cloud data center networks is a well studied problem that received much attention from the literature in recent years. Yet, the existing literature failed to account ...
Robust Feature Extraction and Classification of Acoustic Partial Discharge Signals Corrupted With Noise
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Institute of Electrical and Electronics Engineers Inc.
, 2017 , Article)
Partial discharge (PD) can be used as an indicator of impending failure in electrical plant insulation making the accurate classification of particular occurrence patterns useful for anticipating forthcoming outages. In ...
Prediction of Transformer Furan Levels
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Institute of Electrical and Electronics Engineers Inc.
, 2016 , Article)
In this letter, the ranges of furan content in oil in power transformers are predicted using measurements of oil tests, such as breakdown voltage, acidity, water content, and dissolved gas analysis. Predictive models based ...
Energy conservation-based thresholding for effective wavelet denoising of partial discharge signals
(
Institution of Engineering and Technology
, 2016 , Article)
Recent studies have shown that wavelet transform can effectively be used for noise reduction in the context of partial discharge (PD) signal detection and classification. Several thresholding approaches for wavelet denoising ...
A meta-framework for modeling the human reading process in sentiment analysis
(
Association for Computing Machinery
, 2016 , Article)
This article introduces a sentiment analysis approach that adopts the way humans read, interpret, and extract sentiment from text. Our motivation builds on the assumption that human interpretation should lead to the most ...
Modelling and performance analysis of TCP variants for data collection in smart power grids
(
Elsevier B.V.
, 2017 , Article)
Smart grid communication networks adopt a variety of communication technologies interconnecting numerous and diverse equipment. The requirement of supporting a large traffic volume over such networks efficiently, reliably, ...
Wavelet Transform with Histogram-Based Threshold Estimation for Online Partial Discharge Signal Denoising
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Article)
Online condition assessment of the power system devices and apparatus is considered vital for robust operation, where partial discharge (PD) detection is employed as a diagnosis tool. PD measurements, however, are corrupted ...