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| Registros recuperados : 3 | |
| 1. |  | RIUL JR, A.; DHANABALAN, A.; MATTOSO, L. H. C.; SOUZA, L. M. de; TICIANELLI, E. A.; OLIVEIRA JR, O. N. Characterization of 16-mer polyaniline composite Lamgmuir-blodgett films. Thin solid films, Lausanne, v. 327/329, p. 576-580, 1998.| Biblioteca(s): Embrapa Instrumentação. |
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| 2. | | RIUL JUNIOR, A.; DHANABALAN, A.; MATTOSO, L. H. C.; SOUZA, L. M. de; TICIANELLI, E. A.; OLIVEIRA JUNIOR, O. N. Characterization of 16-MER polyaniline composite LB films. In: INTERNATIONAL CONFERENCE ON ORGANIZED MOLECULAR FILMS, 8., aug. 1997, Asilomar, CA, USA. Abstract & program booklet... Davis: University of California, 1997. não paginado. Ref: 7-P-28.| Biblioteca(s): Embrapa Instrumentação. |
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| 3. | | RIUL JUNIOR, A.; TELLES, G. D.; MATTOSO, L. H. C.; PEREIRA, M. R.; TICIANELLI, E.; FARIA, R. M.; OLIVEIRA JUNIOR, O. N. Fabricacao de filmes Langmuir-Blodgett (LB) de polianilina. In: CONGRESSO BRASILEIRO DE POLIMEROS, 3., nov. 1995, Rio de Janeiro, RJ. Anais... Rio de Janeiro: Associacao Brasileira de Polimeros, 1995. p.1255-1258.| Biblioteca(s): Embrapa Instrumentação. |
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| Registros recuperados : 3 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Pantanal. Para informações adicionais entre em contato com cpap.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Pantanal. |
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Data corrente: |
28/11/2018 |
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Data da última atualização: |
30/11/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
CLAURE, Y. N.; MATSUBARA, E. T.; PADOVANI, C. R.; PRATI, R. C. |
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Afiliação: |
YURI NAVARRO CLAURE, UFMS; EDSON TAKASHI MATSUBARA, UFMS; CARLOS ROBERTO PADOVANI, CPAP; RONALDO CRISTIANO PRATI, Ufabc. |
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Título: |
PollyWatt: A polynomial water travel time estimator based on Derivative Dynamic Time Warping and Perceptually importante points. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Computers and Geosciences, v. 112, p. 54-63, 2018. |
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Idioma: |
Inglês |
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Conteúdo: |
Traditional methods for estimating timing parameters in hydrological science require a rigorous study of the relations of flow resistance, slope, flow regime, watershed size, water velocity, and other local variables. These studies are mostly based on empirical observations, where the timing parameter is estimated using empirically derived formulas. The application of these studies to other locations is not always direct. The locations in which equations are used should have comparable characteristics to the locations from which such equations have been derived. To overcome this barrier, in this work, we developed a data-driven approach to estimate timing parameters such as travel time. Our proposal estimates timing parameters using historical data of the location without the need of adapting or using empirical formulas from other locations. The proposal only uses one variable measured at two different locations on the same river (for instance, two river-level measurements, one upstream and the other downstream on the same river). The recorded data from each location generates two time series. Our method aligns these two time series using derivative dynamic time warping (DDTW) and perceptually important points (PIP). Using data from timing parameters, a polynomial function generalizes the data by inducing a polynomial water travel time estimator, called PolyWaTT. To evaluate the potential of our proposal, we applied PolyWaTT to three different watersheds: a floodplain ecosystem located in the part of Brazil known as Pantanal, the world's largest tropical wetland area; and the Missouri River and the Pearl River, in United States of America. We compared our proposal with empirical formulas and a data-driven state-of-the-art method. The experimental results demonstrate that PolyWaTT showed a lower mean absolute error than all other methods tested in this study, and for longer distances the mean absolute error achieved by PolyWaTT is three times smaller than empirical formulas. MenosTraditional methods for estimating timing parameters in hydrological science require a rigorous study of the relations of flow resistance, slope, flow regime, watershed size, water velocity, and other local variables. These studies are mostly based on empirical observations, where the timing parameter is estimated using empirically derived formulas. The application of these studies to other locations is not always direct. The locations in which equations are used should have comparable characteristics to the locations from which such equations have been derived. To overcome this barrier, in this work, we developed a data-driven approach to estimate timing parameters such as travel time. Our proposal estimates timing parameters using historical data of the location without the need of adapting or using empirical formulas from other locations. The proposal only uses one variable measured at two different locations on the same river (for instance, two river-level measurements, one upstream and the other downstream on the same river). The recorded data from each location generates two time series. Our method aligns these two time series using derivative dynamic time warping (DDTW) and perceptually important points (PIP). Using data from timing parameters, a polynomial function generalizes the data by inducing a polynomial water travel time estimator, called PolyWaTT. To evaluate the potential of our proposal, we applied PolyWaTT to three different watersheds: a floodplain ecosys... Mostrar Tudo |
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Thesagro: |
Hidrologia; Rio. |
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Thesaurus NAL: |
Hydrology; Rivers. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02623naa a2200205 a 4500
001 2100301
005 2018-11-30
008 2018 bl uuuu u00u1 u #d
100 1 $aCLAURE, Y. N.
245 $aPollyWatt$bA polynomial water travel time estimator based on Derivative Dynamic Time Warping and Perceptually importante points.$h[electronic resource]
260 $c2018
520 $aTraditional methods for estimating timing parameters in hydrological science require a rigorous study of the relations of flow resistance, slope, flow regime, watershed size, water velocity, and other local variables. These studies are mostly based on empirical observations, where the timing parameter is estimated using empirically derived formulas. The application of these studies to other locations is not always direct. The locations in which equations are used should have comparable characteristics to the locations from which such equations have been derived. To overcome this barrier, in this work, we developed a data-driven approach to estimate timing parameters such as travel time. Our proposal estimates timing parameters using historical data of the location without the need of adapting or using empirical formulas from other locations. The proposal only uses one variable measured at two different locations on the same river (for instance, two river-level measurements, one upstream and the other downstream on the same river). The recorded data from each location generates two time series. Our method aligns these two time series using derivative dynamic time warping (DDTW) and perceptually important points (PIP). Using data from timing parameters, a polynomial function generalizes the data by inducing a polynomial water travel time estimator, called PolyWaTT. To evaluate the potential of our proposal, we applied PolyWaTT to three different watersheds: a floodplain ecosystem located in the part of Brazil known as Pantanal, the world's largest tropical wetland area; and the Missouri River and the Pearl River, in United States of America. We compared our proposal with empirical formulas and a data-driven state-of-the-art method. The experimental results demonstrate that PolyWaTT showed a lower mean absolute error than all other methods tested in this study, and for longer distances the mean absolute error achieved by PolyWaTT is three times smaller than empirical formulas.
650 $aHydrology
650 $aRivers
650 $aHidrologia
650 $aRio
700 1 $aMATSUBARA, E. T.
700 1 $aPADOVANI, C. R.
700 1 $aPRATI, R. C.
773 $tComputers and Geosciences$gv. 112, p. 54-63, 2018.
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