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pro vyhledávání: '"Raissa Likhonina"'
Autor:
Raissa Likhonina
Publikováno v:
Acta Polytechnica, Vol 56, Iss 6, Pp 455-461 (2016)
This paper deals with a FEA simulation of the vehicle crash with steel safety barriers in ANSYS LS-DYNA® 15.0. Two types of safety barriers are used: JSNH4/H2 and JSAM-2/H2. A geometrical model of the barrier in the Modeler ANSYS® Workbench™ 15.0
Externí odkaz:
https://doaj.org/article/c3d0def8ced84aa795ccd8236529a7a5
Publikováno v:
Neural Network World. 32:15-41
The paper deals with the task of modeling discrete questionnaire data with a reduced dimension of the model. The discrete model dimension is reduced using the construction of local models based on independent binomial mixtures estimated with the help
Autor:
Raissa Likhonina, Evženie Uglickich
Publikováno v:
Neural Network World. 32:73-92
The present paper describes hand detection application implemented on Xilinx Zynq Ultrascale+ device, comprising multi-core processor ARM Cortex A53 and FPGA programmable logic. It uses ultrasound data and is based on adaptive QRD RLS lattice algorit
Publikováno v:
Scientific Journal of Science and Technology. 19:22-26
Autor:
Raissa Likhonina
Publikováno v:
MECO
2019 8th Mediterranean Conference on Embedded Computing (MECO)
2019 8th Mediterranean Conference on Embedded Computing (MECO)
This paper describes an approach, which can be used as a pre-processing stage for a hand detection and gesture recognition problem. The approach is based on noise cancellation using QRD Recursive Least Squares (RLS) algorithm with double precision ar
Publikováno v:
ICINCO (1)
Autor:
Raissa Likhonina
Publikováno v:
2019 International Conference on Systems, Signals and Image Processing (IWSSIP)
IWSSIP
IWSSIP
The paper is focused on an algorithmic technique for detection of hand presence and distance from a hand to device transmitting ultrasound signals. The described method is based on a QRD Recursive Least Squares (RLS) algorithm with double precision a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56e4d240890048bfd744f23fb0eec31c