Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Peixin Yuan"'
Autor:
Chenhu Qin, Xuhua Yang, Zheng Zuo, Peixin Yuan, Fang Sun, Xudong Luo, Xiangdong Ye, Zhijian Cao, Zongyun Chen, Yingliang Wu
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Thermally stable full-length scorpion toxin peptides and partially degraded peptides with complete disulfide bond pairing are valuable natural peptide resources in traditional Chinese scorpion medicinal material. However, their pharmacologic
Externí odkaz:
https://doaj.org/article/41536166f86c485bb278f814d463069a
Publikováno v:
Advances in Mechanical Engineering, Vol 15 (2023)
To solve the power limitation problem faced by the development of EPS system for commercial vehicles and achieve the high-performance steering, this article presents a novel dual power-driven electric power steering system (DPEPS) for commercial vehi
Externí odkaz:
https://doaj.org/article/f05b6892e4d14c27a7152a7a33b246f1
Publikováno v:
Measurement + Control, Vol 55 (2022)
This paper presents a self-learning control algorithm for model uncertain suspension systems using single network adaptive critic (SNAC) approach. First, a differential neural network (DNN) observer in conjunction with the weight updating law is esta
Externí odkaz:
https://doaj.org/article/594cfe8cb0ad47e4a459a1fcb1b79d7a
Publikováno v:
Computational Intelligence and Neuroscience
Computational Intelligence and Neuroscience, Vol 2022 (2022)
Computational Intelligence and Neuroscience, Vol 2022 (2022)
For personal safety and crime prevention, some research studies based on deep learning have achieved success in the object detection of X-ray security inspection. However, the research on dangerous liquid detection is still scarce, and most research
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce9fc869c86b59322e0ef0babaec6b1b
https://doi.org/10.1155/2022/5371350
https://doi.org/10.1155/2022/5371350
Publikováno v:
2022 4th International Conference on Industrial Artificial Intelligence (IAI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ccd7a71bf535483b539b8d915c52ce4
https://doi.org/10.1109/iai55780.2022.9976566
https://doi.org/10.1109/iai55780.2022.9976566
Publikováno v:
Computational Intelligence and Neuroscience.
For public security and crime prevention, the detection of prohibited items in X-ray security inspection based on deep learning has attracted widespread attention. However, the pseudocolor image dataset is scarce due to security, which brings an enor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d99d4bd287e7d297b7e1ca0c92de5272
Publikováno v:
Applied Optics. 61:8454
In the area of public safety and crime prevention, some research based on deep learning has achieved success in the detection of prohibited items for x-ray security inspection. However, the number of parameters and computational consumption of most o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c071aa6c1a0dd571c667eb45981b3ea
https://doi.org/10.1364/ao.467717
https://doi.org/10.1364/ao.467717
Publikováno v:
International Journal of Pattern Recognition and Artificial Intelligence. 33:1950006
In recent years, the workload of security offers has increased along with the requirement of anti-terrorism. In the paper, a series of evaluation index of security inspection based on the EEG signals of the security officers were proposed to improve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4545e41451bd0193c3cc38eb6f50c658
https://doi.org/10.1142/s021800141950006x
https://doi.org/10.1142/s021800141950006x
Publikováno v:
SPIE Proceedings.
In this paper, for the actual in-service pipeline detection, an edge detection method based on fourth-order B-spline wavelet multi-scale local modulus maxima is proposed. We extract defect edge using wavelet maximum algorithm, select fine length, inv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::650b7e5a37969b0d63c617638965314d
https://doi.org/10.1117/12.850586
https://doi.org/10.1117/12.850586
Autor:
Jun Tan, Peixin Yuan
Publikováno v:
2009 2nd International Congress on Image and Signal Processing.
In this paper, for the practical demand of in-service pipeline detection, a new way called mathematical morphology wavelet de-noising innovative method has been developed, based on separate defect points. This method needs to extract the edge of defe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13f83a63c842e62c23db14b34605fee4
https://doi.org/10.1109/cisp.2009.5301140
https://doi.org/10.1109/cisp.2009.5301140