Browsing Technology Innovation and Engineering Education Unit by Type "Article"
Now showing items 21-40 of 46
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Estimating the Relative Crystallinity of Biodegradable Polylactic Acid and Polyglycolide Polymer Composites by Machine Learning Methodologies
( MDPI , 2022 , Article)Biodegradable polymers have recently found significant applications in pharmaceutics processing and drug release/delivery. Composites based on poly (L-lactic acid) (PLLA) have been suggested to enhance the crystallization ... -
Examining engineering students' perceptions of learner agency enactment in problem- and project-based learning using Q methodology
( John Wiley and Sons Inc , 2022 , Article)Background: Few studies have reported how students enact learner agency in a team setting or examined what elements of team settings students perceive as more supportive of their learning in problem- and project-based ... -
Explainable deep learning model for automatic mulberry leaf disease classification
( Frontiers Media SA , 2023 , Article)Mulberry leaves feed Bombyx mori silkworms to generate silk thread. Diseases that affect mulberry leaves have reduced crop and silk yields in sericulture, which produces 90% of the world’s raw silk. Manual leaf disease ... -
Fast and memory-efficient algorithms for computing quadratic time–frequency distributions
( Elsevier Inc , 2013 , Article)Algorithms for computing time–frequency distributions (TFDs) limit computation time by reducing numerical operations. But these fast algorithms do not reduce the memory load. This article presents four TFD algorithms to ... -
Fuzzy system applications for identification of weak buses in power systems
( King Fahd University of Petroleum and Minerals , 2002 , Article)In this paper a simple new algorit hm for identifying the weak buses in a power system for voltage stability study is presented. The proposed algorithm is based on fuzzy set theory. Two membership functions, one for voltage ... -
Generalized dynamic spectrum access: An order statistics design perspective
( Elsevier GmbH , 2008 , Article)A new adaptive multiple access scheme based on the theory of order statistics is introduced. The proposed algorithm employs a semi-random allocation mechanism that limits subchannel selection to the highest-gain subchannels. ... -
Improved Discrete Definition of Quadratic Time-Frequency Distributions
( IEEE , 2010 , Article)Computation of a time-frequency distribution (TFD) requires a discrete version of the continuous distribution. This discrete TFD (DTFD) should be free from aliasing and conserve all the important mathematical properties ... -
Instantaneous Frequency Estimation of Multi-component Non-Stationary Signals using Multi-view Time-Frequency Distributions Based on the Adaptive Fractional Spectrogram
( IEEE , 2013 , Article)This letter presents a novel algorithm to compute the instantaneous frequency (IF) of a multicomponent nonstationary signal using a combination of fractional spectrograms (FS). A high resolution time frequency distribution ... -
IRv2-Net: A Deep Learning Framework for Enhanced Polyp Segmentation Performance Integrating InceptionResNetV2 and UNet Architecture with Test Time Augmentation Techniques
( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)Colorectal polyps in the colon or rectum are precancerous growths that can lead to a more severe disease called colorectal cancer. Accurate segmentation of polyps using medical imaging data is essential for effective ... -
Lightweight End-to-End Deep Learning Solution for Estimating the Respiration Rate from Photoplethysmogram Signal
( MDPI , 2022 , Article)Respiratory ailments are a very serious health issue and can be life-threatening, especially for patients with COVID. Respiration rate (RR) is a very important vital health indicator for patients. Any abnormality in this ... -
Long-term electric peak load forecasting for power system planning: A comparative study
( King Fahd University of Petroleum and Minerals , 2004 , Article)A comparative study between two static estimation algorithms, namely least error squares (LES) and least absolute value (LAV) algorithm was presented. The proposed algorithm used the past history data for the load and the ... -
Modeling of permeability impairment dynamics in porous media: A machine learning approach
( Elsevier , 2023 , Article)The prediction of clogging and permeability impairment dynamics in porous media is crucial for the optimization of various industrial and natural processes. This paper presents a novel machine learning-based approach for ... -
Multiple-view time-frequency distribution based on the empirical mode decomposition
( Institution of Engineering and Technology , 2010 , Article)This study proposes a novel, composite time-frequency distribution (TFD) constructed using a multiple-view approach. This composite TFD utilises the intrinsic mode functions (IMFs) of the empirical mode decomposition (EMD) ... -
A New Low Cost Linear Resolver Converter
( IEEE , 2008 , Article)A new low cost converter topology is proposed for sinusoidal position encoders. The converter enables determination of the angle from the sine and cosine signals of the encoder. When used with resolvers, the implementation ... -
A Nonlinear Model of Newborn EEG with Nonstationary Inputs
( Springer US , 2010 , Article)Newborn EEG is a complex multiple channel signal that displays nonstationary and nonlinear characteristics. Recent studies have focussed on characterizing the manifestation of seizure on the EEG for the purpose of automated ... -
A nonparametric feature for neonatal EEG seizure detection based on a representation of pseudo-periodicity
( Elsevier Ltd , 2011 , Article)Automated methods of neonatal EEG seizure detection attempt to highlight the evolving, stereotypical, pseudo-periodic, nature of EEG seizure while rejecting the nonstationary, modulated, coloured stochastic background in ... -
Novel and robust machine learning approach for estimating the fouling factor in heat exchangers
( Elsevier , 2022 , Article)The fouling factor (Rf) is an operating index for measuring an undesirable effect of solids’ deposition on the heat transfer ability of heat exchangers. Accurate prediction of the fouling factor helps appropriate scheduling ... -
Open Educational Resources (OER) for Control Systems Engineering: Development Case with LabVIEW, Simulink, and Camtasia
( International Society for Engineering Education (IGIP) in cooperation with Kassel University Press GmbH , 2012 , Article)The aim of this paper is to report on the development of control systems open educational resources. The paper reports on two control systems education software: 1- A LabVIEW based Control Systems Analysis Toolkit (CSAT) ... -
Power system frequency estimation based on simulated annealing. Part I: A constant frequency study
( King Fahd University of Petroleum and Minerals , 2003 , Article)In this paper a new algorithm based on Simulated Annealing (SA) method is used to estimate the signal parameters of a system steady power system, having a constant frequency during data window size. The proposed algorithm ... -
PPG2ABP: Translating Photoplethysmogram (PPG) Signals to Arterial Blood Pressure (ABP) Waveforms
( MDPI , 2022 , Article)Cardiovascular diseases are one of the most severe causes of mortality, annually taking a heavy toll on lives worldwide. Continuous monitoring of blood pressure seems to be the most viable option, but this demands an ...