With the increasing need for scalable, energy-efficient sensing solutions in smart cities and buildings, traditional temperature monitoring systems face limitations due to higher manufacturing costs and rigid designs....
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This work investigates the performance of PFB-HEMTs during switching transients at a circuit level by means of mixed-mode (device/circuit) TCAD simulation. The PFB-HEMTs have been recently proposed to have a higher th...
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The technologies used in smart homes have recently improved to learn the user preferences from feedback in order to enhance the user convenience and quality of experience. Most smart homes learn a uniform model to rep...
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Universities can employ information technology as one means of achieving their goals and objectives. Universities can get advantages from information technology, such as effective resource management and information m...
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Sparse vector coding (SVC) is a promising short-packet transmission method for ultra reliable low latency communication (URLLC) in next generation mobile communication systems. However, the storage burden of codebook ...
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TrueAdapt™ offers an attractive solution to fan-out-wafer-level-packaging (FOWLP) and fan-out-panel-level-packaging, which offers significant cost savings as compared to similar bridge connection technology or interpo...
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The high-power solid-state power controller (SSPC) will be a critical component for the future electrified aircraft propulsion system. This article presents the development of a 1 kV 500 A bidirectional dc SSPC using ...
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The high-power solid-state power controller (SSPC) will be a critical component for the future electrified aircraft propulsion system. This article presents the development of a 1 kV 500 A bidirectional dc SSPC using SiC power modules and transient voltage suppression (TVS) diodes. The design procedure and implementation of the SSPC are presented in detail and the system level influence is discussed. Due to the limited power of a single switch, parallel and/or series connections of switches are necessary for high-power SSPCs, and the corresponding challenges are investigated with possible solutions. In addition, the high peak-to-average clamping voltage ratio caused by Ldi/dt of the turn-off current commutation and foldback characteristics of high-power TVS diodes is addressed. Finally, the testing setups for the high-power SSPC are presented, and all key functions are tested for the SSPC. The power rating and the specific power of the developed SSPC are superior to state-of-the-art counterparts to show the advantage of the developed one.
This paper presents an LLC photovoltaic (PV) step-up converter with an integrated high-frequency (HF) AC-link power interface for distributed energy storage (such as a battery) structure. The proposed converter consis...
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Industrial safety is more important in both safety of human being and machines. To ensure this the temperature of the machine is monitored continuously and if any abnormal situation arises, the machine will be isolate...
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Recently,computer vision(CV)based disease diagnosis models have been utilized in various areas of *** the same time,deep learning(DL)and machine learning(ML)models play a vital role in the healthcare sector for the ef...
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Recently,computer vision(CV)based disease diagnosis models have been utilized in various areas of *** the same time,deep learning(DL)and machine learning(ML)models play a vital role in the healthcare sector for the effectual recognition of diseases using medical imaging *** study develops a novel computer vision with optimal machine learning enabled skin lesion detection and classification(CVOML-SLDC)*** goal of the CVOML-SLDC model is to determine the appropriate class labels for the test dermoscopic ***,the CVOML-SLDC model derives a gaussian filtering(GF)approach to pre-process the input images and graph cut segmentation is ***,firefly algorithm(FFA)with EfficientNet based feature extraction module is applied for effectual derivation of feature ***,naïve bayes(NB)classifier is utilized for the skin lesion detection and classification *** application of FFA helps to effectually adjust the hyperparameter values of the EfficientNet *** experimental analysis of the CVOML-SLDC model is performed using benchmark skin lesion *** detailed comparative study of the CVOML-SLDC model reported the improved outcomes over the recent approaches with maximum accuracy of 94.83%.
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