Browsing by Subject "Principal component analysis"
Now showing items 1-19 of 19
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A dual-isolation-forests-based attack detection framework for industrial control systems
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)The cybersecurity of industrial control systems (ICSs) is becoming increasingly critical under the current advancement in the cyber activity and the Internet of Things (IoT) technologies, and their direct impact on several ... -
A machine learning approach of load balance routing to support next-generation wireless networks
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)With the development of Next-generation Wireless Networks (NWNs), delay-sensitive traffic triggered by mobile applications (such as video stream and online games) will become an important part of the NWNs. With the increasing ... -
An Empirical Study for PCA- and LDA-Based Feature Reduction for Gas Identification
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Article)Increasing the number of sensors in a gas identification system generally improves its performance as this will add extra features for analysis. However, this affects the computational complexity, especially if the ... -
Application of data-driven attack detection framework for secure operation in smart buildings
( Elsevier Ltd , 2021 , Article)With the rapid advancement in the industrial control technologies and the increased deployment of the industrial Internet of Things (IoT) in the buildings sector, this work presents an analysis of the security of the ... -
Automatic variable reduction
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)A variable reduction strategy (VRS) is an effective method to accelerate the optimization process of evolutionary algorithms (EAs) by simplifying the corresponding optimization problems. Unfortunately, the VRS is manually ... -
Eco-efficiency of electric vehicles in the United States: A life cycle assessment based principal component analysis
( Elsevier , 2019 , Article)This research presents an integrated sustainability assessment framework applied to electric vehicle technologies in the United States of America. Two methods; principal component analysis and life cycle assessment are ... -
Effect of concentration of calcium and sulfate ions on gypsum scaling of reverse osmosis membrane, mechanistic study
( Elsevier Editora Ltda , 2020 , Article)In seawater reverse osmosis, membrane scaling is one of the major issues affecting its widespread application in the desalination industry. In this paper, the effect of concentration of calcium and sulfate ions from 20 to ... -
Enhancing face recognition using Directional Filter Banks
( Elsevier Inc. , 2013 , Article)Face recognition is an increasingly important problem in biometric applications; consequently many recognition algorithms have been proposed during the last three decades. It is accepted that the use of a pre-processing ... -
Fault detection in modular multilevel converter using principle component analysis
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)Modular multilevel converter is becoming a great candidate for high power applications due to its valuable features. However, its higher performance comes at the expenses of higher complexity, which increases the risks of ... -
Hardware PCA for gas identification systems using high level synthesis on the Zynq SoC
( Institute of Electrical and Electronics Engineers Inc. , 2013 , Conference Paper)One of the significant stages in a gas identification system is dimensionality reduction to speed up the processing part. This is even more important when the system is implemented on a hardware platform where the resources ... -
High Level Synthesis Based E-Nose System for Gas Applications
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)This paper proposes a hardware/software co-design approach using the Zynq platform for the implementation of an electronic nose (EN) system based on principal component analysis (PCA) as a dimensionality reduction technique ... -
Learned vs. hand-designed features for ECG beat classification: A comprehensive study
( Springer Verlag , 2017 , Conference Paper)In this study, in order to find out the best ECG classification performance we realized comparative evaluations among the state-of-the-art classifiers such as Convolutional Neural Networks (CNNs), multi-layer perceptrons ... -
Machine learning aided load balance routing scheme considering queue utilization
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)Due to the rapid development of network techniques, packet-switched systems experience high-speed growth of traffic, which imposes a heavy and unbalanced burden on the routers. Hence, efficient routing schemes are required ... -
Matching pursuit-based compressive sensing in a wearable biomedical accelerometer fall diagnosis device
( Elsevier Ltd , 2017 , Article)There is a significant high fall risk population, where individuals are susceptible to frequent falls and obtaining significant injury, where quick medical response and fall information are critical to providing efficient ... -
PCA IP-core for gas applications on the heterogenous zynq platform
(2013 , Conference Paper)Principal component analysis (PCA) is a commonly used technique for data reduction in general as well as for dimensionality reduction in gas identification systems when a sensor array is being used. This paper presents the ... -
Radar fall detection using principal component analysis
( SPIE , 2016 , Conference Paper)Falls are a major cause of fatal and nonfatal injuries in people aged 65 years and older. Radar has the potential to become one of the leading technologies for fall detection, thereby enabling the elderly to live independently. ... -
Sensor fault detection and isolation of an autonomous underwater vehicle using partial kernel PCA
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)In this paper, partial kernel principal component analysis (PKPCA) is studied for sensor fault detection and isolation (FDI) of an autonomous underwater vehicle (AUV). Principal component analysis (PCA) is an effective ... -
Sensor fault detection and isolation of an industrial gas turbine using partial kernel PCA
( 9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, SAFEPROCESS 2015 , 2015 , Conference Paper)In this paper, partial kernel principal component analysis (PKPCA) is studied for sensor fault detection and isolation of an aeroderivative industrial gas turbine. Principal component analysis (PCA) is an effective tool ... -
The use of principle component analysis and MALDI-TOF MS for the differentiation of mineral forming: Virgibacillus and Bacillus species isolated from sabkhas
( Royal Society of Chemistry , 2020 , Article)Occurrence of mineral forming and other bacteria in mats is well demonstrated. However, their high diversity shown by ribotyping has not been explained, although it could explain the diversity of formed minerals. Common ...