Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Dmitriy A. Kiryanov"'
Autor:
Nina V. Zaitseva, Anna Yu. Popova, Vadim B. Alekseev, Dmitriy A. Kiryanov, Vladimir M. Chigvintsev
Publikováno v:
Hygiene and sanitation. 101:701-708
Introduction. The development of SARS-COV-2 (COVID-19) pandemic creates certain analytical challenges with respect to both examining the spread of the disease itself and investigating reasons and regularities in the epidemic propagation under differe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3fcce923d38a7e08a4ef3a182899df0
https://doi.org/10.47470/0016-9900-2022-101-6-701-708
https://doi.org/10.47470/0016-9900-2022-101-6-701-708
Publikováno v:
2019 4th International Conference on Smart and Sustainable Technologies (SpliTech).
A reverse vending machine (RVM) is a machine where people can return empty beverage containers like plastic bottles and cans for recycling taking back a deposit or refund amount. Reverse vending machines are a key part of container deposit systems in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::767769b58f09f2506c90d788e8c990e9
https://doi.org/10.23919/splitech.2019.8782990
https://doi.org/10.23919/splitech.2019.8782990
Publikováno v:
2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus).
In this paper we describe the distributed storage structure with indexing techniques which can be applied in scientific Big Data centers. Basic principal of this project is distributed (N, K)-block storage. We develop the descent of LH∗RS especiall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a84316b8df713197abf90ac59d8be580
https://doi.org/10.1109/eiconrus.2018.8317282
https://doi.org/10.1109/eiconrus.2018.8317282
Publikováno v:
2017 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus).
Authors describe the novel approach for the data storing schema for fault-tolerant distributed scientific research systems. This approach optimizes the workload on storage nodes and enhances the computation performance. Basic principal of this projec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3690c05b6b8511625dd7c445ad956733
https://doi.org/10.1109/eiconrus.2017.7910650
https://doi.org/10.1109/eiconrus.2017.7910650