Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Vladimir Protsenko"'
Autor:
Albert Gareev, Vladimir Protsenko, Dmitriy Stadnik, Pavel Greshniakov, Yuriy Yuzifovich, Evgeniy Minaev, Asgat Gimadiev, Artem Nikonorov
Publikováno v:
Sensors, Vol 21, Iss 13, p 4410 (2021)
This paper examines the effectiveness of neural network algorithms for hydraulic system fault detection and a novel neural network architecture is suggested. The proposed gated convolutional autoencoder was trained on a simulated training set augment
Externí odkaz:
https://doaj.org/article/66ef6e6b89e94949a05d6bf7b1945da3
Autor:
Vladimir Protsenko, Andrey Katanin
Publikováno v:
Phys. Rev. B
Physical Review B
Physical Review B
We investigate magnetic, charge and transport properties of hexagonal graphene nanoflakes (GNFs) connected to two metallic leads by using the functional renormalization group (fRG) method. The interplay between the on-site and long-range interactions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eee8584a1afe03a1725758cf94112463
http://arxiv.org/abs/2108.05844
http://arxiv.org/abs/2108.05844
Publikováno v:
2020 IEEE 61th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON).
nowadays, due to the pandemic, many organizations have switched to remote work via video conferencing, but the complexity of organizing video conferencing arises due to the limited number of participants at the same time, as well as the need for larg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53d1633d202a30c62aac9314bd114efe
https://doi.org/10.1109/rtucon51174.2020.9316605
https://doi.org/10.1109/rtucon51174.2020.9316605
Autor:
Dmitriy Stadnik, Artem V. Nikonorov, Ilia Popelniuk, Albert Gareev, Nikita Davydov, Gimadiev Asgat G, Vladimir Protsenko, Evgeniy Minaev
Publikováno v:
2020 International Conference on Information Technology and Nanotechnology (ITNT).
In this work we explore the effectiveness of common neural network architectures for detecting faults in hydraulic systems. We use a typical hydraulic system stand and its phisical simulation to collect a training and validation datasets. For all cla
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bab78f5e5da669d129438be2023334e7
https://doi.org/10.1109/itnt49337.2020.9253325
https://doi.org/10.1109/itnt49337.2020.9253325
Autor:
Sergey B. Popov, Vladimir Protsenko
Publikováno v:
Optical Technologies for Telecommunications 2019.
Current trends in increasing the intelligence level of software systems for analyzing data flows under the constraints of processing time require the study of new technologies that take advantage of a distributed computing environment. In this paper,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6aa9f754fb591a6692009abb806501b
https://doi.org/10.1117/12.2566363
https://doi.org/10.1117/12.2566363
A method for determining the coordinates of geomagnetic perturbation sources based on joint data processing of the world network of magnetic observatories is proposed. A large statistical material showed the relationship of large geomagnetic storms w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::011f7df6955e6686720fc7c6f9823056
https://doi.org/10.5194/egusphere-egu2020-9947
https://doi.org/10.5194/egusphere-egu2020-9947
The publication describes research into the laser hardening process of the camshaft cams surface. Samples of camshaft cams made of structural bearing steel were hardened using a powerful fiber laser LS-15. The effect of altering the laser surface har
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7895431c2f20ebd8ccd82fb70df215fc
https://publica.fraunhofer.de/handle/publica/266468
https://publica.fraunhofer.de/handle/publica/266468
Autor:
Vitaly Miroshnikov, Vladimir Protsenko
Publikováno v:
Eastern-European Journal of Enterprise Technologies, Vol 4, Iss 7 (94), Pp 43-50 (2018)
When designing spatial structures, it is necessary to know the stressed-strained state of a body. These problems include the calculation schemes, in which there is a half-space with cylindrical cavities, at the boundaries of which the contact type co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b96dee5869f923762fde3e00ed25663
https://doi.org/10.15587/1729-4061.2018.139567
https://doi.org/10.15587/1729-4061.2018.139567
Autor:
Artem V. Nikonorov, Dmitriy Stadnik, Albert Gareev, Pavel Greshniakov, Yuriy Yuzifovich, Evgeniy Minaev, Gimadiev Asgat G, Vladimir Protsenko
Publikováno v:
Sensors
Volume 21
Issue 13
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 4410, p 4410 (2021)
Volume 21
Issue 13
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 4410, p 4410 (2021)
This paper examines the effectiveness of neural network algorithms for hydraulic system fault detection and a novel neural network architecture is suggested. The proposed gated convolutional autoencoder was trained on a simulated training set augment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f72aabce946c358c7d675c979a7f079e
https://doi.org/10.3390/s21134410
https://doi.org/10.3390/s21134410
Publikováno v:
Procedia Engineering. 201:806-816
This work describes performance analysis results of two face detection systems based on Apache Storm and IBM InfoSphere Streams frameworks. Profiling was evaluated on image sequences of four different sizes: 100 x 100, 640 x 640, 1920 x 1080, and 409
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::35b329e9dd0333a457ab9b12f7906347
https://doi.org/10.1016/j.proeng.2017.09.602
https://doi.org/10.1016/j.proeng.2017.09.602