Zobrazeno 1 - 10
of 84
pro vyhledávání: '"Zhaoba Wang"'
Publikováno v:
IEEE Access, Vol 11, Pp 31607-31618 (2023)
Continuous terahertz detection imaging technology is widely used in polymer detection. However, it is very difficult to quantitatively analyze defects due to the characteristics of focusing lenses. On the one hand, a lens with a short focal length me
Externí odkaz:
https://doaj.org/article/6552f53d13b74dbea17044b2f18c92b5
Publikováno v:
IEEE Access, Vol 11, Pp 30908-30919 (2023)
The increasing use of glass fiber reinforced polymer (GFRP) laminates in aircraft creates an urgent demand for nondestructive testing to identify defects such as impact damage and delamination in the materials’ near-surface structure. The High-freq
Externí odkaz:
https://doaj.org/article/39404c9e1c7948d2b5a8216bc380599f
Publikováno v:
IEEE Access, Vol 10, Pp 106275-106285 (2022)
Edge caching and adaptive bitrate video streaming are two promising techniques to ensure a good video viewing experience. Edge caching can bring contents closer to users to alleviate redundant content transmissions, reduce user-perceived delay and im
Externí odkaz:
https://doaj.org/article/dea2a806468c4988af04fbdf90689f88
Publikováno v:
Photonics, Vol 10, Iss 9, p 1020 (2023)
In order to meet the increasing demand of non-destructive testing (NDT) in engineering practice, a continuous terahertz NDT platform based on linear scanning has been developed, with a center frequency of 154 GHz and a bandwidth of 56 GHz. This syste
Externí odkaz:
https://doaj.org/article/a0349faa836f4805a72794c3b53697f8
Autor:
Xia Zhao, Zhaoba Wang
Publikováno v:
AIP Advances, Vol 12, Iss 9, Pp 095107-095107-11 (2022)
Total-focusing imaging based on full-matrix data, which makes the synthesis of sound waves at the focus point, has been widely used and shown to improve imaging resolution effectively. In traditional total-focusing imaging, it is considered that the
Externí odkaz:
https://doaj.org/article/549b4ac2fabc4766b3340e2813b0ec23
Autor:
Guoqiang Chai, Zhaoba Wang, Guodong Guo, Youxing Chen, Yong Jin, Dawei Wang, Bin Lu, Shilei Ren
Publikováno v:
IEEE Access, Vol 9, Pp 58390-58402 (2021)
The problem of image rain removal has drawn widespread attention as the blurry images caused by rain streaks can degrade the performance of many computer vision tasks. Although exiting deep learning-based methods outperform most traditional methods,
Externí odkaz:
https://doaj.org/article/5f555bca5a5443538b4baaf9247accc0
Publikováno v:
IEEE Access, Vol 8, Pp 111278-111288 (2020)
The problem of single image rain removal has attracted tremendous attention as the blurry images caused by rain streaks can degrade the performance of many computer vision algorithms. Although deep learning based de-raining methods have achieved a si
Externí odkaz:
https://doaj.org/article/a3a452a923c14407a132da580db01b81
Autor:
Xia Zhao, Zhaoba Wang
Publikováno v:
AIP Advances, Vol 11, Iss 9, Pp 095210-095210-7 (2021)
Ultrasonic phased array sensors consist of multiple elements excited by predetermined time-delayed pulses. The directivity of each element was used to propose a sound field calculation model that adds a directivity constraint for each element. The st
Externí odkaz:
https://doaj.org/article/64b0e12a575a458a89a22b08b5fa0556
Optimizing Node Localization in Wireless Sensor Networks Based on Received Signal Strength Indicator
Publikováno v:
IEEE Access, Vol 7, Pp 73880-73889 (2019)
In order to improve the precision of inside localization and optimize the allocation of node resources in wireless sensor networks (WSNs), an equal-arc trilateral localization algorithm based on received signal strength indicator (RSSI) is proposed f
Externí odkaz:
https://doaj.org/article/56975de9fcd74e41b0800dbfbe2b8b11
Publikováno v:
Computing & Informatics; 2024, Vol. 43 Issue 1, p126-148, 23p