Concrete surface roughness measurement method based on edge detection
J Ma, T Wang, G Li, Q Zhan, D Wu, Y Chang, Y Xue… - The Visual …, 2024 - Springer
The strength of the bond between concretes is attributed to surface roughness. Therefore, it
is necessary to quantify the roughness of concrete surfaces. In the traditional method, …
is necessary to quantify the roughness of concrete surfaces. In the traditional method, …
PCB defect detection based on PSO-optimized threshold segmentation and SURF features
Y Chang, Y Xue, Y Zhang, J Sun, Z Ji, H Li… - Signal, Image and Video …, 2024 - Springer
This paper proposes an automated inspection approach for printed circuit boards (PCBs) that
can accurately locate defects to solve the issues of low precision, complex equipment, and …
can accurately locate defects to solve the issues of low precision, complex equipment, and …
Nonparametric CAT for CD in educational settings with small samples
YP Chang, CY Chiu, RC Tsai - Applied psychological …, 2019 - journals.sagepub.com
Cognitive diagnostic computerized adaptive testing (CD-CAT) has been suggested by
researchers as a diagnostic tool for assessment and evaluation. Although model-based CD-CAT …
researchers as a diagnostic tool for assessment and evaluation. Although model-based CD-CAT …
Advances in CD-CAT: The general nonparametric item selection method
CY Chiu, YP Chang - psychometrika, 2021 - Springer
Computerized adaptive testing (CAT) is characterized by its high estimation efficiency and
accuracy, in contrast to the traditional paper-and-pencil format. CAT specifically for cognitive …
accuracy, in contrast to the traditional paper-and-pencil format. CAT specifically for cognitive …
Thermodynamic description of the binary Cu–Zr system
W Gierlotka, KC Zhang, YP Chang - Journal of alloys and compounds, 2011 - Elsevier
The binary Cu–Zr system is an important material for various implementations. The copper–zirconium
alloy is one of the best known transition metal–metal binary system which may be …
alloy is one of the best known transition metal–metal binary system which may be …
UAV signal recognition of heterogeneous integrated KNN based on genetic algorithm
Y Xue, Y Chang, Y Zhang, J Sun, Z Ji, H Li… - Telecommunication …, 2024 - Springer
To address the detection difficulty problem of unmanned aerial vehicles (UAVs) in complex
electromagnetic environments, this paper proposes a genetic algorithm-based …
electromagnetic environments, this paper proposes a genetic algorithm-based …
A GPS Spoofing Signal Detection Method Based on Low Frequency Power Spectrum
G Li, Y Peng, J Ma, D Wu, Q Zhan, Y Chang… - Wireless Personal …, 2024 - Springer
With the gradual enlargement of the application of satellite navigation spoofing signals in
the field of anti-drone and other areas, spoofing signals have severely threatened the …
the field of anti-drone and other areas, spoofing signals have severely threatened the …
Research on PCB solder joint defect detection method based on machine vision
Y Chang, Y Xue, Y Zhang, J Ma, G Li… - … on Graphics and …, 2023 - spiedigitallibrary.org
Printed circuit boards (PCBs) are an essential component of electronic products, and detecting
solder joint defects is critical in the PCB production process. Machine vision technology …
solder joint defects is critical in the PCB production process. Machine vision technology …
UAV signal recognition technology
Y Xue, Y Chang, Y Zhang, J Ma, G Li, Q Zhan… - Proceedings of the 5th …, 2022 - dl.acm.org
The wide application of drones brings convenience to all aspects of society, but also
seriously threatens the safety of the low-altitude field. In recent years, the number of accidents …
seriously threatens the safety of the low-altitude field. In recent years, the number of accidents …
Radio signal modulation pattern recognition method
Y Zhang, Y Chang, Y Xue, J Ma, G Li… - Proceedings of the 10th …, 2022 - dl.acm.org
With the continuous development of radio communication technology, the modulation methods
of signals also show a diversified development trend, and the modulation identification of …
of signals also show a diversified development trend, and the modulation identification of …