Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Haohao Yuan"'
Publikováno v:
Sensors, Vol 23, Iss 15, p 6755 (2023)
Convolutional neural networks have achieved good results in target detection in many application scenarios, but convolutional neural networks still face great challenges when facing scenarios with small target sizes and complex background environment
Externí odkaz:
https://doaj.org/article/4213f4222b7649f8b8626c044188f27f
Publikováno v:
Applied Sciences, Vol 13, Iss 13, p 7886 (2023)
In this paper, we propose a new filtering switch with excellent working performance made using an optimized coupled microstrip line. Upon analyzing the RF (radio frequency) front-end’s system structure, the switching device was simplified to a diod
Externí odkaz:
https://doaj.org/article/dd0bd08850dd4abd807e08b2c9292e1e
Publikováno v:
Journal of Electronic Testing. 38:39-62
Publikováno v:
Multimedia Tools and Applications. 78:29659-29679
Circular hole detection is a common problem in computer vision and pattern recognition. Randomized Hough transform and randomized circle detection algorithm are commonly used in circle detection, with good detection robustness and accuracy. But for c
Autor:
Haohao Yuan, Lianyuan Jiang
Publikováno v:
International Journal of Signal Processing, Image Processing and Pattern Recognition. 8:225-234
To enhance the security of the digital image information transmitted through Internet, this paper proposes an image scrambling algorithm based on spiral filling of bits. This algorithm first reads the pixel values of all the odd-number lines in the i
Publikováno v:
International Journal of Security and Its Applications. 8:209-220
With the rapid development of the Internet and the broadband, more and more people transit images on the Internet. Given the information security, some important images must be encrypted when transmitted. Image scrambling serves as one of the powerfu
Autor:
Haohao Yuan
Publikováno v:
International Journal of Online Engineering (iJOE), Vol 14, Iss 05, Pp 19-30 (2018)
The system designed is a ship collision avoidance system based on consistent use of satellite positioning technology, spread spectrum communication technology and a wireless sensor network. The system design includes: an information collecting termin