Home Itens selecionados Provedores de dados OAI Créditos Sobre Ajuda

			Busca avançada
	Provedor de dados CIGR Journal (1) ArchiMer (1) Autor AURASOPON, APINAN (1) Bigand, Andre (1) Lefebvre, Alain (1) Phan, Thi-thu-hong (1) Poisson Caillault, Emilie (1) Palavra-chave Dynamic Time Warping (2) Cattle behaviors (1) Embedded accelerometer system (1) Imputation (1) Missing data (1) Similarity measures (1) Uncorrelated multivariate time series (1) Mais... Tipo do documento Info:eu-repo/semantics/article (1) Text (1) Ano 2017 (1) 2016 (1) País China (1) France (1) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última DTW-Approach for uncorrelated multivariate time series imputation ArchiMer Phan, Thi-thu-hong; Poisson Caillault, Emilie; Bigand, Andre; Lefebvre, Alain. Missing data are inevitable in almost domains of applied sciences. Data analysis with missing values can lead to a loss of efficiency and unreliable results, especially for large missing sub-sequence(s). Some well-known methods for multivariate time series imputation require high correlations between series or their features. In this paper, we propose an approach based on the shape-behaviour relation in low/un-correlated multivariate time series under an assumption of recurrent data. This method involves two main steps. Firstly, we find the most similar sub-sequence to the sub-sequence before (resp.after) a gap based on the shape-features extraction and Dynamic Time Warping algorithms. Secondly, we fill in the gap by the next (resp.previous) sub-sequence... Tipo: Text Palavras-chave: Imputation; Uncorrelated multivariate time series; Missing data; Dynamic Time Warping; Similarity measures. Ano: 2017 URL: https://archimer.ifremer.fr/doc/00429/54082/55378.pdf Dynamic Time Warping for classifying cattle behaviors and reducing acceleration data size CIGR Journal AURASOPON, APINAN. This paper proposes a method for classifying the cattle behaviors. An embedded accelerometer system has attached to the cow’s neck. Dynamic Time Warping (DTW) is applied to measure the similarity between acceleration data corresponding to the cow movements and the templates collected from the acceleration data corresponding to the cow behaviors. The results of these processes are the sets of accumulated distances whose minimum value is used to select a behavioral model. Two cows used in the experiment, the accuracy of classification was measured. The results show that the accuracy of the proposed system is more than 90 percentages for all behavioral models. Moreover, the three-axis acceleration data combined before sending through the wireless network to... Tipo: Info:eu-repo/semantics/article Palavras-chave: Cattle behaviors; Embedded accelerometer system; Dynamic Time Warping. Ano: 2016 URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/4046 Registros recuperados: 2 Primeira ... 1 ... Última

Empresa Brasileira de Pesquisa Agropecuária - Embrapa Todos os direitos reservados, conforme Lei n° 9.610 Política de Privacidade Área restrita		Embrapa Parque Estação Biológica - PqEB s/n° Brasília, DF - Brasil - CEP 70770-901 Fone: (61) 3448-4433 - Fax: (61) 3448-4890 / 3448-4891 SAC: https://www.embrapa.br/fale-conosco