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ISSN: 1674-862X
CN: 51-1724/TN
e-ISSN: 2666-223X

Low working loss Si/4H–SiC heterojunction MOSFET with analysis of the gate-controlled tunneling effect

A silicon (Si)/silicon carbide (4H–SiC) heterojunction double-trench metal-oxide-semiconductor field effect transistor (MOSFET) (HDT-MOS) with the gate-controlled tunneling effect is proposed for the...

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Developing microwave-induced thermoacoustic tomography: System, application, and reconstruction

A microwave-induced thermoacoustic imaging (MITAT) system is a non-destructive physical medical imaging method that combines the advantages of the high contrast of microwave imaging and the high resolution...

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A trustworthy decision-making algorithm based on vote trees of random forest for abdominal aortic aneurysm diagnostic

⎯In order to reduce the abdominal aortic aneurysm (AAA) mortality and avoid surgery and the economic burden caused by this disease, it is important to predict the probability of AAA to take early intervention...

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Algorithms for automatic measurement of SIS-type hysteretic underdamped Josephson junction's parameters by current-voltage characteristics

Some electrical parameters of the SIS-type hysteretic underdamped Josephson junction (JJ) can be measured by its current-voltage characteristics (IVCs). Currents and voltages at JJ are commensurate...

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Characteristics of sub-synchronous oscillation in grid-connected wind farm system

With the rapid development of wind power, wind turbines are accompanied by a large quantity of power electronic converters connected to the grid, causing changes in the characteristics of the power...

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Life-cycle assessment of batteries for peak demand reduction

At present, a life-cycle assessment of energy storage systems (ESSs) is not widely available in the literature. Such an assessment is increasingly vital nowadays as ESS is recognized as one of the important...

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Boundedness and liveness enforcement for labeled Petri nets using transition priority

This paper deals with the supervisory control problem of discrete event systems modeled by labeled Petri nets. The system is originally unbounded. First, the solvability of the problem is confirmed....

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High-sensitivity phase imaging eddy current magneto-optical system for carbon fiber reinforced polymers detection

This paper proposed a high-sensitivity phase imaging eddy current magneto-optical (PI-ECMO) system for carbon fiber reinforced polymer (CFRP) defect detection. In contrast to other eddy current-based...

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Prospects of microwave-induced thermoacoustic imaging

Microwave-induced thermoacoustic imaging (MTAI) has advantages including the large imaging depth, high imaging resolution, high imaging contrast, and fast imaging speed. The thermoacoustic (TA) group...

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Thermoacoustic imaging: From single-element scanning to portable and array-based imaging

The microwave-induced thermoacoustic imaging (TAI) technology has both the advantages of high contrast of microwave imaging and high resolution of ultrasound imaging (UI), so it has carried out exploratory...

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Early esophagus cancer segmentation from gastrointestinal endoscopic images based on U-Net++ model

Automatic segmentation of early esophagus cancer (EEC) in gastrointestinal endoscopy (GIE) images is a critical and challenging task in clinical settings, which relies primarily on labor-intensive and...

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Recognition of mortar pumpability via computer vision and deep learning

The mortar pumpability is essential in the construction industry, which requires much labor to estimate manually and always causes material waste. This paper proposes an effective method by combining...

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Trimmable bandgap reference circuit with exponential curvature compensation

This paper proposes an improved exponential curvature-compensated bandgap reference circuit to exploit the exponential relationship between the current gain β of the bipolar junction transistor (BJT)...

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Nyström kernel algorithm based on least logarithmic hyperbolic cosine loss

Kernel adaptive filters (KAFs) have sparked substantial attraction for online non-linear learning applications. It is noted that the effectiveness of KAFs is highly reliant on a rational learning criterion....

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Entity generation algorithm based on reference expansion

The extraction and understanding of text knowledge become increasingly crucial in the age of big data. One of the current research areas in the field of natural language processing (NLP) is how to accurately...

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Weighted gene co-expression network analysis reveals similarities and differences of molecular features between dilated and ischemic cardiomyopathies

Cardiomyopathies represent the most common clinical and genetic heterogeneous group of diseases that affect the heart function. Though progress has been made to elucidate the process, molecular mechanisms...

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Microwave-induced thermoacoustic imaging of joints

Due to the complexity of joint structures and the diversity of disorders in the joints, the diagnosis of joint diseases is challenging. Current clinical diagnostic techniques for evaluating joint diseases,...

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High-performance omnidirectional self-powered photodetector constructed by CsSnBr3/ITO heterostructure film

Omnidirectional photodetectors attract enormous attention due to their prominent roles in optical tracking systems and omnidirectional cameras. However, it is still a challenge for the construction...

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SAR target detection based on the optimal fractional Gabor spectrum feature

In this paper, an algorithm based on a fractional time-frequency spectrum feature is proposed to improve the accuracy of synthetic aperture radar (SAR) target detection. By extending the fractional...

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Application of graph neural network and feature information enhancement in relation inference of sparse knowledge graph

At present, knowledge embedding methods are widely used in the field of knowledge graph (KG) reasoning, and have been successfully applied to those with large entities and relationships. However, in...

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Notch-δ-doped InP Gunn diodes for low-THz band applications

The viability of the indium phosphide (InP) Gunn diode as a source for low-THz band applications is analyzed based on a notch-δ-doped structure using the Monte Carlo modeling. The presence of the δ-doped...

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FPGA-based acceleration for binary neural networks in edge computing

As a core component in intelligent edge computing, deep neural networks (DNNs) will increasingly play a critically important role in addressing the intelligence-related issues in the industry domain,...

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Effective technology for processing industrial volatile organic compounds by the atmospheric pressure microwave plasma torch

In this study, we investigated the abatement of volatile organic compounds (VOCs) by the atmospheric pressure microwave plasma torch (AMPT). To study the treatment efficiency of AMPT, we used the toluene...

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Analytical method for cell displacement defect quantum-dot cellular automata primitive

Quantum-dot cellular automata (QCA) is an emerging computational paradigm which can overcome scaling limitations of the existing complementary metal oxide semiconductor (CMOS) technology. The existence...

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Shaped beam pattern synthesis with desired nulling level and minimum sidelobe level

For the anti-interference/denoise purpose, it usually requires minimizing the sidelobe level (SLL) of a wide-beam pattern with a desired low nulling level (NL) in the nulling region. To realize such...

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