Synchronous reluctance machines (SynRMs) are increasingly used in various applications, such as energy conversion systems and electric drives. In addition to standard control algorithms, some of these applications als...
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This paper investigates the dependence of two-dimensional electron gas (2DEG) mobility in GaN-based double-heterostructure high electron mobility transistors (HEMTs) on aluminum content in the AIGaN buffer layer. Our ...
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The paper describes the temperature characterization of single-photon avalanche diodes (SPADs) and active quenching circuits (AQCs) designed and fabricated in a commercial 180-nm high-voltage (HV) bipolar-CMOSDMOS (BC...
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The Wheatstone bridge configuration of sensing elements is often used in stress measurements due to its simple architecture and relatively high linearity and sensitivity when used in a full-bridge configuration. The s...
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The effectiveness of wireless sensor networks is greatly impacted by wireless spoofing attacks, which are simple to initiate. The difficult issues in Wireless Sensor Networks are locating many adversaries and eliminat...
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Various outcome-based education (OBE) performance measurement approaches demonstrate students’ attainment of a set of Graduate Attributes (GA) in the engineering programme. This paper presents four measurement models...
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This study focuses and addresses the critical need for effective flood early detection and water quality assessment, particularly in regions prone to flooding in Brunei Darussalam. This is due to the alteration in wea...
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Integrating autonomous vehicles (AVs) within our transportation ecosystem presents exciting possibilities and introduces intricate challenges. Systemic failures due to cyberattacks on AVs could have far-reaching conse...
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The networks are fundamental to our modern world and they appear throughout science and *** to a massive amount of data presents a unique opportunity to the researcher’s *** networks grow in size the complexity incre...
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The networks are fundamental to our modern world and they appear throughout science and *** to a massive amount of data presents a unique opportunity to the researcher’s *** networks grow in size the complexity increases and our ability to analyze them using the current state of the art is at severe risk of failing to keep ***,this paper initiates a discussion on graph signal processing for large-scale data *** first provide a comprehensive overview of core ideas in Graph signal processing(GSP)and their connection to conventional digital signal processing(DSP).We then summarize recent developments in developing basic GSP tools,including methods for graph filtering or graph learning,graph signal,graph Fourier transform(GFT),spectrum,graph frequency,*** filtering is a basic task that allows for isolating the contribution of individual frequencies and therefore enables the removal of *** then consider a graph filter as a model that helps to extend the application of GSP methods to large *** show the suitability and the effeteness,we first created a noisy graph signal and then applied it to the *** several rounds of simulation *** see that the filtered signal appears to be smoother and is closer to the original noise-free distance-based *** using this example application,we thoroughly demonstrated that graph filtration is efficient for big data analytics.
Natural fibers have shown to have exceptional properties and as excellent reinforcing agents in composite materials, both of which are solutions to environmental problems. However, due to its hydrophilic nature, it te...
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