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A new thermal integrity method for pile anomaly detection
(
DEStech Publications Inc.
, 2019 , Conference Paper)
Anomaly detection is a hot topic in pile construction which is a complex one due to the intrinsic nature of underground structures, such as limited accessibility, large depth and complex soil profile. Several traditional ...
The Schottky-Klein prime function: A theoretical and computational tool for applications
(
Oxford University Press
, 2016 , Article)
This article surveys the important role, in a variety of applied mathematical contexts, played by the socalled Schottky-Klein (S-K) prime function. While it is a classical special function, introduced by 19th century ...
Axisymmetric Powell-Eyring fluid flow with convective boundary condition: optimal analysis
(
Springer Netherlands
, 2016 , Article)
The effects of axisymmetric flow of a Powell-Eyring fluid over an impermeable radially stretching surface are presented. Characteristics of the heat transfer process are analyzed with a more realistic condition named the ...
Optimization of effective area spectral efficiency for wireless communications systems under Nakagami-m fading channels
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Conference Paper)
In this paper, we present an optimization of the effective area spectral efficiency (EASE) metric for point-to-point transmission systems, and decode-and-forward (DF) relaying communications networks under Nakagami-m fading ...
Sensor fault detection and isolation using multiple robust filters for linear systems with time-varying parameter uncertainty and error variance constraints
(
Institute of Electrical and Electronics Engineers Inc.
, 2014 , Conference Paper)
In this paper, a robust sensor fault detection and isolation (FDI) strategy is proposed by means of the multiple model (MM)-based scheme. The proposed approach is composed of robust Kalman filters (RKF) with error variance ...
A support vector machine-based method for LPV-ARX identification with noisy scheduling parameters
(
Institute of Electrical and Electronics Engineers Inc.
, 2014 , Conference Paper)
In this paper, we present a method that utilizes support vector machines (SVM) to identify linear parameter-varying (LPV) auto-regressive exogenous input (ARX) models corrupted by not only noise, but also uncertainties in ...
An IV-SVM-based approach for identification of state-space LPV models under generic noise conditions
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
This paper presents a nonparametric identification method for state-space linear parameter-varying (LPV) models using a modified support vector machine (SVM) approach. While most LPV identification schemes in the state-space ...
A Bayesian approach for model identification of LPV systems with uncertain scheduling variables
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
This paper presents a Gaussian Process (GP) based Bayesian method that takes into account the effect of additive noise on the scheduling variables for identification of linear parameter-varying (LPV) models in input-output ...
Fast Fault Detection of Synchronous Generators
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
In this paper, the problem of the fast fault detection of synchronous generators is addressed. Toward this goal, a multi-objective optimization problem formulation based on the l1/H /H - performance criteria and the regional ...
Area spectral efficiency of underlay cognitive radio transmission over rayleigh fading channels
(
IEEE
, 2013 , Conference Paper)
Cognitive radio is a promising technology to improve the spectrum utilization by allowing the unlicensed (secondary) user share a frequency bandwidth with the licensed (primary) owner under the condition that no harmful ...