Browsing Faculty Contributions by Title
Now showing items 13465-13484 of 17455
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Robust distributed consensus of autonomous underwater vehicles in 3D space
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)In this paper, robust distributed consensus of autonomous underwater vehicles (AUV) in the presence of ocean disturbances is investigated where the considered model describes both the kinematics and dynamics of the AUV ... -
Robust Distribution-Free Hybrid Exponentially Weighted Moving Average Schemes Based on Simple Random Sampling and Ranked Set Sampling Techniques
( Hindawi , 2021 , Article)This paper proposes new nonparametric hybrid exponentially weighted moving average (HEWMA) control charts based on simple random sampling (SRS) and ranked set sampling (RSS) techniques using the Wilcoxon rank-sum W statistic. ... -
Robust Enhancement of Intrusion Detection Systems Using Deep Reinforcement Learning and Stochastic Game
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)The incorporation of advanced networking technologies makes modern systems vulnerable to cyber-attacks that can result in a number of harmful outcomes. Due to the increase of security incidents and massive activities on ... -
The robust error meta-regression method for dose-response meta-analysis.
( Lippincott, Williams & Wilkins , 2018 , Article)Dose-response meta-analysis has been widely employed in evidence-based decision-making. Currently, the most popular approach is the one or two-stage generalized least squares for trend model. This approach however has some ... -
Robust estimation of highly-varying nonlinear instantaneous frequency of monocomponent signals using a lower-order complex-time distribution
( Elsevier B.V. , 2013 , Article)This paper proposes an approach for robust estimation of highly-varying nonlinear instantaneous frequency (IF) in monocomponent nonstationary signals. The proposed method is based on a lower order complex-time distribution ... -
Robust event-based non-intrusive appliance recognition using multi-scale wavelet packet tree and ensemble bagging tree
( Elsevier , 2020 , Article)Providing the user with appliance-level consumption data is the core of each energy efficiency system. To that end, non-intrusive load monitoring is employed for extracting appliance specific consumption data at a low cost ... -
A robust experimental-based artificial neural network approach for photovoltaic maximum power point identification considering electrical, thermal and meteorological impact
( Elsevier , 2020 , Article)This paper aims to develop a robust and practical photovoltaic (PV) Maximum Power Point (MPP) identification tool developed using reliable experimental data sets. The correlations between the voltage and the current (Vmp ... -
Robust Feature Extraction and Classification of Acoustic Partial Discharge Signals Corrupted With Noise
( 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 ... -
Robust feature point detectors for car make recognition
( Elsevier B.V. , 2018 , Article)An Automatic Vehicle Make and Model Recognition (AVMMR) system can be a useful add-on tool to Automatic Number Plate Recognition (ANPR) to address potential car cloning, including intelligence collection by the police to ... -
Robust gait recognition: A comprehensive survey
( Institution of Engineering and Technology , 2019 , Article Review)Gait recognition has emerged as an attractive biometric technology for the identification of people by analysing the way they walk. However, one of the main challenges of the technology is to address the effects of inherent ... -
Robust GNC approach for quantised compressed sensing
( Institution of Engineering and Technology , 2017 , Article)Practical acquisition of compressed sensing measurements involves a finite-range finite-precision quantisation step. To solve the sparse recovery problem and handle the quantisation distortion, this Letter proposes a ... -
Robust human silhouette extraction with Laplacian fitting
( Elsevier , 2014 , Article)Human silhouette extraction has been a primary step to estimate human poses or classify activities from videos. While the accuracy of human silhouettes has great impact on the follow-on human pose/gait estimation, it has ... -
Robust Hybrid EKF approach for state estimation in multi-scale nonlinear singularly perturbed systems
( IEEE , 2014 , Conference Paper)In this paper a general framework is developed for state estimation in a class of nonlinear continuous-time singularly perturbed systems. Our approach is based on the hybrid extended Kalman filter in which observations are ... -
Robust index-tracking and enhanced index-tracking in portfolio optimization
( Ascociacion Internacional de Economia Aplicada , 2020 , Article)We study index-tracking and enhanced index-tracking problems in portfolio optimization under interval uncertainty for returns and covariance matrix. The proposed robust counterparts for both models are in the form of second ... -
Robust model-free gait recognition by statistical dependency feature selection and Globality-Locality Preserving Projections
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)Gait recognition aims to identify people through the analysis of the way they walk. The challenge of model-free based gait recognition is to cope with various intra-class variations such as clothing variations and carrying ... -
A Robust Modification to the Universal Cavitation Algorithm in Journal Bearings
( American Society of Mechanical Engineers , 2016 , Article)In the current study, a modified fast converging, mass-conserving, and robust algorithm is proposed for calculation of the pressure distribution of a cavitated axially grooved journal bearing based on the finite volume ... -
Robust multisensor time–frequency signal processing: A tutorial review with illustrations of performance enhancement in selected application areas
( Elsevier Inc. , 2018 , Article)This paper presents high-resolution multisensor time–frequency distributions (MTFDs) and their applications to the analysis of multichannel non-stationary signals. The approach combines high-resolution time–frequency ... -
Robust multivariable control design for HVDC systems considering AC grid impedance uncertainties
( Elsevier , 2022 , Article)High-voltage direct current (HVDC) transmission system based on modular multilevel converter (MMC) technology is considered as an attractive solution for the interconnection of two AC grids to enhance the security of ... -
Robust normalization protocols for multiplexed fluorescence bioimage analysis
( BioMed Central , 2016 , Article)The study of mapping and interaction of co-localized proteins at a sub-cellular level is important for understanding complex biological phenomena. One of the recent techniques to map co-localized proteins is to use the ... -
Robust optimization for the discrete time-cost tradeoff problem with cost uncertainty
( Springer International Publishing , 2015 , Book chapter)Projects are subject to various sources of uncertainty that hamper reaching project targets; hence, it is crucial importance to use effective approaches to generate robust project schedules, which are less vulnerable to ...