Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Naijin Liu"'
Publikováno v:
Space: Science & Technology, Vol 3 (2023)
With the growing efficiency of the use of unlicensed spectrum, the challenge of ensuring spectrum security has become increasingly daunting. Spectrum managers aim to accurately and efficiently detect and recognize anomaly behaviors in the spectrum. I
Externí odkaz:
https://doaj.org/article/e16ca8e1c03c45c1b2e95ae1839ebda0
Publikováno v:
Space: Science & Technology, Vol 2022 (2022)
With the rapid development of wireless communication, spectrum plays increasingly important role in both military and civilian fields. Spectrum anomaly detection aims at detecting emerging anomaly signals and spectrum usage behavior in the environmen
Externí odkaz:
https://doaj.org/article/cb43b09795db44b19cb7c859e076167e
Publikováno v:
Space: Science & Technology, Vol 2021 (2021)
For the space-based remote sensing system, onboard intelligent processing based on deep learning has become an inevitable trend. To adapt to the dynamic changes of the observation scenes, there is an urgent need to perform distributed deep learning o
Externí odkaz:
https://doaj.org/article/afbd71e8a2d041fe99ee2012179f9d16
Publikováno v:
Digital Communications and Networks.
Publikováno v:
In The Journal of China Universities of Posts and Telecommunications February 2015 22(1):24
Publikováno v:
IEEE Internet of Things Magazine. 4:86-92
As a disruptive technology that originates from cryptocurrency, blockchain provides a trusted platform to facilitate industrial IoT (IIoT) applications. However, implementing a blockchain platform in IIoT scenarios confronts various security challeng
Publikováno v:
IEICE Transactions on Communications. :690-702
Publikováno v:
2021 13th International Symposium on Antennas, Propagation and EM Theory (ISAPE).
Autor:
Chunfeng Wang, Naijin Liu
Publikováno v:
2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN).
Autor:
Haidong Xie, Haihua Liao, Nan Ji, Naijin Liu, Jia Tan, Zuguo Yu, Xiaoying Zhang, Xueshuang Xiang
Publikováno v:
2021 XXXIVth General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS).
Deep learning is applied to many complex tasks in the field of wireless communication, such as modulation recognition of spectrum waveforms, because of its convenience and efficiency. This leads to the problem of a malicious third party using a deep