Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Jifang Jin"'
Publikováno v:
Dianxin kexue, Vol 38, Pp 121-129 (2022)
Power analysis attack is still the most threatening type of side channel attack on cryptographic hardware.The template analysis attack with the attack of KNN algorithm was compared.Firstly, three dimensionality reduction methods of Pearson correlatio
Externí odkaz:
https://doaj.org/article/ec68e6346e1f40f299fda9f58a150232
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8bab4e28b56e59ae0eb8b5c65c9949a6
https://doi.org/10.2139/ssrn.4051378
https://doi.org/10.2139/ssrn.4051378
Publikováno v:
Asia Communications and Photonics Conference 2021.
In this paper, we propose a Chaotic Constellation Masking (CCM) encryption method based on henon mapping to enhance the security of CO-OFDM/OQAM system. Simulation results indicate the capability of the CCM method improving system security.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a972810841e57a13db562c22705cc51
https://doi.org/10.1364/acpc.2021.t4a.93
https://doi.org/10.1364/acpc.2021.t4a.93
Publikováno v:
2018 10th International Conference on Communication Software and Networks (ICCSN).
Orthogonal frequency division multiplexing offset quadrature amplitude modulation (OFDM/OQAM) could provide high spectral efficiency with the eliminating of cyclic prefixed (CP) inserted in conventional OFDM systems. For optical OFDM/OQAM, real filed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17efbedef4ec03057d1856adcf60ac1d
https://doi.org/10.1109/iccsn.2018.8488215
https://doi.org/10.1109/iccsn.2018.8488215
Publikováno v:
FPT
This paper presents a scalable hybrid architecture for high performance data-parallel applications on tightly coupled shared-memory CPU-FPGA systems such as the Xilinx Zynq SoC. The aims of the proposed architecture are: 1)to simplify the development
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7c46abc4569c36c498d354225d2d23d
https://doi.org/10.1109/fpt.2017.8280138
https://doi.org/10.1109/fpt.2017.8280138
Publikováno v:
FPT
In this demonstration, we develop a moving object extraction and classification system based on a heterogeneous acceleration platform that consists of a local Zynq terminal and FPGA clusters on the IBM SuperVessel cloud. Extraction of the moving obje
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb126d348eabf8d0f6cc28ef1bb98dbb
https://doi.org/10.1109/fpt.2016.7929568
https://doi.org/10.1109/fpt.2016.7929568
Publikováno v:
2016 13th IEEE International Conference on Solid-State and Integrated Circuit Technology (ICSICT).
The K-Nearest Neighbor (K-NN) algorithm is one of the most common classification algorithms and widely used in pattern recognition and data mining. K-NN hardware acceleration is necessary for applications with massive high-dimensional data. High leve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cbfbff08d562adbeb6df402dd0ed9166
https://doi.org/10.1109/icsict.2016.7998989
https://doi.org/10.1109/icsict.2016.7998989
Publikováno v:
FPT
Due to the technology scaling, the reconfigurable SoCs built on SRAM-based FPGAs become more susceptible to radiation and aging effects. This paper proposes an adaptive cross-layer fault recovery solution based on hardware/software co-design for reco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2bcc7d52a4ec5b3ee7ef8b16eece792c
https://doi.org/10.1109/fpt.2015.7393147
https://doi.org/10.1109/fpt.2015.7393147
Publikováno v:
FPL
This paper proposes UniStream, a unified stream architecture based on point-to-point stream channels combining both bitstream configuration and data stream processing. In addition, unified APIs are provided to support bitstream configuration and data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80bbf281637e454e7da83258de3d72a5
https://doi.org/10.1109/fpl.2015.7294000
https://doi.org/10.1109/fpl.2015.7294000
Publikováno v:
2015 International Joint Conference on Neural Networks (IJCNN); 2015, p1-4, 4p