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

A Data Augmentation Method for Insulators Based on Cycle GAN

Data augmentation is an important task of using existing data to expand data sets. Using generative countermeasure network technology to realize data augmentation has the advantages of high-quality...

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Machine learning algorithm partially reconfigured on FPGA for an image edge detection system

Unmanned aerial vehicles (UAVs) have been used for many applications including military, construction, image and video mapping, medical, search and rescue, wireless communications, and aerial surveillance....

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Efficient ECG classification based on chi-square distance for arrhythmia detection

This study introduces a new classifier tailored to address the limitations inherent in conventional classifiers such as K-nearest neighbor (KNN), random forest (RF), decision tree (DT), and support...

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Big data challenge for monitoring quality in higher education institutions using business intelligence dashboards

As big data becomes an apparent challenge to handle when building a business intelligence (BI) system, there is a motivation to handle this challenging issue in higher education institutions (HEIs)....

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Fine-grained grid computing model for Wi-Fi indoor localization in complex environments

The fingerprinting-based approach using the wireless local area network (WLAN) is widely used for indoor localization. However, the construction of the fingerprint database is quite time-consuming....

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Evaluation of a software positioning tool to support SMEs in adoption of big data analytics

Big data analytics has been widely adopted by large companies to achieve measurable benefits including increased profitability, customer demand forecasting, cheaper development of products, and improved...

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Benchmarking YOLOv5 models for improved human detection in search and rescue missions

Drone or unmanned aerial vehicle (UAV) technology has undergone significant changes. The technology allows a UAV to carry out a wide range of tasks with an increasing level of sophistication, since...

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Multi-scale persistent spatiotemporal transformer for long-term urban traffic flow prediction

Long-term urban traffic flow prediction is an important task in the field of intelligent transportation, as it can help optimize traffic management and improve travel efficiency. To improve prediction...

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Machine learning model based on non-convex penalized huberized-SVM

The support vector machine (SVM) is a classical machine learning method. Both the hinge loss and least absolute shrinkage and selection operator (LASSO) penalty are usually used in traditional SVMs....

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Iterative physical optics method based on efficient occlusion judgment with bounding volume hierarchy technology

This paper builds a binary tree for the target based on the bounding volume hierarchy technology, thereby achieving strict acceleration of the shadow judgment process and reducing the computational...

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Miniaturized power detection module operating in millimeter wave band

The miniaturized broadband detection module can be embedded into the microwave application system such as the front end of the transmitter to detect the power or other parameters in real time. It is...

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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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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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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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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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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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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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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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