Zobrazeno 1 - 10
of 18
pro vyhledávání: '"André Seichi Ribeiro Kuramoto"'
Publikováno v:
Semina: Ciências Exatas e Tecnológicas, Vol 23, Iss 1, Pp 27-40 (2002)
In this work Walsh-Hadamard, QS-Sequence, Optimal PN, PS and SP spreading sequences characteristics are compared. The comparison is accomplished analyzing the correlation properties and performance of conventional receiver using each one of the seque
Externí odkaz:
https://doaj.org/article/2de23f9435e4433aa359a1a92eb2f4ae
Publikováno v:
Semina: Ciências Exatas e Tecnológicas, Vol 23, Iss 1 (2004)
Neste trabalho são comparadas características dos conjuntos de seqüências de espalhamento Walsh- Hadamard, seqüências QS, PN Ótima, PS e SP. A comparação é realizada pela análise das propriedades de correlação e o desempenho do receptor
Externí odkaz:
https://doaj.org/article/57893ffc481843bc84e2039e1228496e
Publikováno v:
Biblioteca Digital de Teses e Dissertações da USPUniversidade de São PauloUSP.
Neste trabalho são discutidos e avaliados métodos de construção de conjuntos de sinais de excitação para identificação de sistemas. Esse estudo é realizado tendo como objetivo aplicações na indústria de processos, particularmente no refin
Autor:
Rodrigo Lima, Hélio Lopes, Juliana Alves Pereira, Marcos Kalinowski, Marinho Fischer, Bruno Itagyba, Hugo Villamizar, Thuener Silva, Alex Furtado Teixeira, Cristiane Salgado, Deborah Lemes, Gabriel da Silva Cardoso, Solon Tarso Batista, Bruna Ferreira, Jacques Chueke, André Seichi Ribeiro Kuramoto, Marcus Waltemberg, Bianca Rodrigues Teixeira, Carlos Pelizaro, Odnei Lopes, Jorge Alam Warrak, Marcelo Silva da Costa, Simone Diniz Junqueira Barbosa, Marcus Poggi
Publikováno v:
SEAA
Petrobras is Brazil’s largest publicly-held company, operating in the oil, natural gas, and energy industry. Internal efforts enabled Petrobras to identify Digital Transformation (DT) opportunities to further promote their operational excellence. W
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0184d0b3d7281fa902d60693fa0cfc71
https://doi.org/10.1109/seaa51224.2020.00030
https://doi.org/10.1109/seaa51224.2020.00030
Autor:
Hugo Villamizar, Marcus Waltemberg, Juliana Alves Pereira, Simone Diniz Junqueira Barbosa, Odnei Lopes, Willer Goulart, Marcus Poggi, Rodrigo Lima, Thuener Silva, Hélio Lopes, Marinho Fischer, André Seichi Ribeiro Kuramoto, Gabriel da Silva Cardoso, Bruna Ferreira, Cristiane Salgado, Jacques Chueke, Carlos Pelizaro, André Brandão, Jorge Alam Warrak, Alex Furtado Teixeira, Deborah Lemes, Marcos Kalinowski, Bianca Rodrigues Teixeira, Solon Tarso Batista, Marcelo Silva da Costa, Bruno Itagyba
Publikováno v:
Product-Focused Software Process Improvement ISBN: 9783030641474
PROFES
PROFES
Petrobras is a large publicly-held company that operates in the oil, gas and energy industry. Recently, they conducted internal dynamics to identify several Digital Transformation (DT) opportunities to leverage their operational excellence. Addressin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3f27770610ee223ef063e58080f7587
https://doi.org/10.1007/978-3-030-64148-1_7
https://doi.org/10.1007/978-3-030-64148-1_7
Publikováno v:
Biblioteca Digital de Teses e Dissertações da USP
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Neste trabalho são discutidos e avaliados métodos de construção de conjuntos de sinais de excitação para identificação de sistemas. Esse estudo é realizado tendo como objetivo aplicações na indústria de processos, particularmente no refin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7cd00346cfb7d51d87ba10e2cb93fe1f
https://doi.org/10.11606/t.3.2016.tde-07112016-144658
https://doi.org/10.11606/t.3.2016.tde-07112016-144658
Publikováno v:
IFAC Proceedings Volumes. 47:364-369
This article presents the results of the use of advanced process control algorithm to optimize the H2 production of Henrique Lage Refinery (REVAP) located in the state of Sao Paulo, Brazil. The control methodology is applied to the second Hydrogen Ge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0260ea5db834ceaca6e1d8258b666c6
https://doi.org/10.3182/20140824-6-za-1003.01729
https://doi.org/10.3182/20140824-6-za-1003.01729
Publikováno v:
Industrial & Engineering Chemistry Research. 52:5120-5135
A comparison of the effectiveness of five methods to generate excitation input signals for identification of ill-conditioned processes is presented. The FIT index of the identified models and the crest factor (CF) of the generated signals are employe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bcb4161b7c6b3b96175659b70ec0dff4
https://doi.org/10.1021/ie3007006
https://doi.org/10.1021/ie3007006
Publikováno v:
Wireless Communications and Mobile Computing. 12:236-247
This paper deals with a quasi-synchronous code division multiple access (QS-CDMA) system with a multiple processing gain (MPG) variable data rate scheme in the uplink direction and subject to multipath fading channels. An analytic expression is obtai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::623616deae1a414457586f8c1709ee9f
https://doi.org/10.1002/wcm.953
https://doi.org/10.1002/wcm.953
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9783319103792
One of the challenges that still needs to be overcome in order to improve the performance of the model predictive control (MPC) is its maintenance. Re-identification of the process is one of the best options available to update the internal model of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0279ab2bd50f24370c81646e419caa6
https://doi.org/10.1007/978-3-319-10380-8_7
https://doi.org/10.1007/978-3-319-10380-8_7