A Two-Stream Siamese Neural Network for Vehicle Re-Identification by Using Non-Overlapping Cameras

Autor: de Oliveira, Icaro O., Fonseca, Keiko V. O., Minetto, Rodrigo

We describe in this paper a Two-Stream Siamese Neural Network for vehicle re-identification. The proposed network is fed simultaneously with small coarse patches of the vehicle shape's, with 96 x 96 pixels, in one stream, and fine features extracted

Externí odkaz: http://arxiv.org/abs/1902.01496

Uma metodologia de configuração do suporte de comunicação de sistemas tempo-Real críticos

Autor: Fonseca, Keiko Verônica Ono

Publikováno v: Repositório Institucional da UFSCUniversidade Federal de Santa CatarinaUFSC.

Made available in DSpace on 2013-12-09T18:09:22Z (GMT). No. of bitstreams: 1 109021.pdf: 5215422 bytes, checksum: 5bf6c0c20b7e918c2c149f29599c153a (MD5)

Externí odkaz: https://repositorio.ufsc.br/handle/123456789/111618

Uma contribuição aos codigos de treliça periodicamente variante no tempo

Autor: Fonseca, Keiko Veronica Ono

Publikováno v: Repositório Institucional da UnicampUniversidade Estadual de CampinasUNICAMP.

Orientador: Reginaldo Palazzo Junior
Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica
Made available in DSpace on 2018-07-15T10:05:40Z (GMT). No. of bitstreams: 1 Fonseca_KeikoVeronicaOno_M.pdf:

Externí odkaz: http://repositorio.unicamp.br/jspui/handle/REPOSIP/261595

Secure end-to-end processing of smart metering data

Autor: Brito, Andrey, Fetzer, Christof, Köpsell, Stefan, Pietzuch, Peter, Pasin, Marcelo, Felber, Pascal, Fonseca, Keiko, Rosa, Marcelo, Gomes-Jr, Luiz, Riella, Rodrigo, Prado, Charles, Rust, Luiz F., Lucani Rötter, Daniel Enrique, Sipos, Marton, Nagy, Laszlo, Fehér, Marcell

Publikováno v: Journal of Cloud Computing: Advances, Systems and Applications, Vol 8, Iss 1, Pp 1-13 (2019)
Brito, A, Fetzer, C, Köpsell, S, Pietzuch, P, Pasin, M, Felber, P, Fonseca, K, Rosa, M, Gomes-Jr, L, Riella, R, Prado, C, Rust, L F, Lucani Rötter, D E, Sipos, M, Nagy, L & Fehér, M 2019, ' Secure End-to-End Processing of Smart Metering Data ', Journal of Cloud Computing . https://doi.org/10.1186/s13677-019-0141-z

Cloud computing considerably reduces the costs of deploying applications through on-demand, automated and fine-granular allocation of resources. Even in private settings, cloud computing platforms enable agile and self-service management, which means

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::544275c7983f2e30ade36cfdcfda170a
https://doaj.org/article/041793d6a89c48f9859ece85f35dcc82

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