Zobrazeno 1 - 10
of 128
pro vyhledávání: '"Dianhong Wang"'
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-16 (2019)
Mature particles of bacteriophage ϕ29 consist of a 33-MDa complex formed by over 450 subunits, assembled into a head and a short tail. Here, Xu et al. report the near-atomic structures of the ϕ29 prohead, the mature virion and the genome-emptied vi
Externí odkaz:
https://doaj.org/article/3083fa9b47324532a59b9fc566645004
Publikováno v:
Frontiers in Neurorobotics, Vol 14 (2020)
The preprocessing of surface electromyography (sEMG) signals with complementary ensemble empirical mode decomposition (CEEMD) improves frequency identification precision and temporal resolution, and lays a good foundation for feature extraction. Howe
Externí odkaz:
https://doaj.org/article/5efed5cc6c1f456f8cbfb2892e946549
Publikováno v:
Sensors, Vol 15, Iss 2, Pp 3116-3137 (2015)
Aquatic debris monitoring is of great importance to human health, aquatic habitats and water transport. In this paper, we first introduce the prototype of an aquatic sensor node equipped with an embedded camera sensor. Based on this sensing platform,
Externí odkaz:
https://doaj.org/article/c42ffd7f80bd436dabce3cb5e81fd155
Publikováno v:
Sensors, Vol 19, Iss 16, p 3445 (2019)
Data compression is a useful method to reduce the communication energy consumption in wireless sensor networks (WSNs). Most existing neural network compression methods focus on improving the compression and reconstruction accuracy (i.e., increasing p
Externí odkaz:
https://doaj.org/article/b89ac3edfc0346a495727199b7c2e61d
Publikováno v:
Energies, Vol 12, Iss 11, p 2160 (2019)
With the spreading and applying of microgrids, the economic and environment friendly microgrid operations are required eagerly. For the dispatch of practical microgrids, power loss from energy conversion devices should be considered to improve the ef
Externí odkaz:
https://doaj.org/article/44d8639390b54e1abf11cbdda695880f
Publikováno v:
Sensors, Vol 18, Iss 12, p 4273 (2018)
Data compression is very important in wireless sensor networks (WSNs) with the limited energy of sensor nodes. Data communication results in energy consumption most of the time; the lifetime of sensor nodes is usually prolonged by reducing data trans
Externí odkaz:
https://doaj.org/article/cfb6f106a4c7461986eac074e2766b5f
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 11 (2015)
In recent years, with the development of wireless sensor networks (WSN), it has been applied in more and more areas. However, energy consumption and outlier detection have been always the hot topics in WSN. In order to solve the above problems, this
Externí odkaz:
https://doaj.org/article/127e988e76a64896a9d2a53e73e187df
Publikováno v:
Journal of Electrical and Computer Engineering, Vol 2015 (2015)
Robust and efficient foreground extraction is a crucial topic in many computer vision applications. In this paper, we propose an accurate and computationally efficient background subtraction method. The key idea is to reduce the data dimensionality o
Externí odkaz:
https://doaj.org/article/ab39cd16dc2044b39bce659df26f6b27
Publikováno v:
Entropy, Vol 19, Iss 9, p 501 (2017)
Of numerous proposals to improve the accuracy of naive Bayes by weakening its attribute independence assumption, semi-naive Bayesian classifiers which utilize one-dependence estimators (ODEs) have been shown to be able to approximate the ground-truth
Externí odkaz:
https://doaj.org/article/e189ffa402e440dab616c051736b4a9e
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 10 (2013)
Camera sensor networks have developed as a new technology for the wide-area video surveillance. In view of the limited power and computational capability of the camera nodes, the paper presents an abnormal behavior detection approach which is conveni
Externí odkaz:
https://doaj.org/article/fe320bfcc3ba4907b79348ad30c5c3b6