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Análise da relação entre os perfis de NDVI obtidos dos sensores AVHRR/NOAA e MODIS nas áreas produtoras de cana-de-açúcar em São Paulo. Repositório Alice
GONÇALVES, R. R. do V.; ZULLO JUNIOR, J.; MARQUEZINI, O.; AMARAL, B. F. do; SOUSA, E. P. M. de; ROMANI, L. A. S..
Neste contexto, o objetivo do trabalho foi comparar dados de NDVI do AVHRR/NOAA e de NDVI do MODIS/TERRA em áreas produtivas de cana-de-açúcar no estado de São Paulo, no período de abril de 2001 a março de 2010.
Tipo: Artigo em anais de congresso (ALICE) Palavras-chave: Sensoriamento remoto; Séries temporais; Agrupamento; Clustering; Remote sensing; Time series analysis; Cluster analysis.
Ano: 2013 URL: http://www.alice.cnptia.embrapa.br/handle/doc/961573
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Análise e mineração de dados de sensores orbitais para acompanhamento de safras de cana-de-açúcar. Repositório Alice
AMARAL, B. F.; CHINO, D. Y.; ROMANI, L. A. S.; GONÇALVES, R. R. V.; SOUSA, E. P. M. de; TRAINA, A. J. M..
Resumo. O impacto causado por eventos climáticos extremos em todo o mundo tem motivado pesquisas para redução de gases de efeito estufa. No Brasil, a cana-de-açúcar é a principal fonte para produção de etanol, como alternativa a combustíveis fósseis. Nesse contexto, dados de sensoriamento remoto têm sido utilizados para monitorar safras de cana-de-açúcar e apoiar pesquisas científicas. Neste trabalho, é proposta uma metodologia baseada em agrupamento de dados para analisar séries temporais de NDVI obtidas de satélites AVHRR/NOAA. Os experimentos mostram que a abordagem proposta permite identificar áreas com padrões de desenvolvimento similares, considerando também os diferentes ciclos de vida da cultura.
Tipo: Artigo em anais de congresso (ALICE) Palavras-chave: Mineração de dados; Safras de cana-de-açúcar; Análise de séries temporais; Clusterização; Sugarcane; Time series analysis; Clustering.
Ano: 2011 URL: http://www.alice.cnptia.embrapa.br/handle/doc/898217
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APPLE IDENTIFICATION IN FIELD ENVIRONMENT WITH OVER THE ROW MACHINE VISION SYSTEM CIGR Journal
Silwal, Abhisesh; Gongal, Aleana; Karkee, Manoj.
Accurate detection and identification of fruits is critically important for the success of developing automated apple harvesting system. Research has been conducted to identify apples in orchard environment with reasonable accuracy when apples are clearly visible or partially occluded. However, only limited work has been carried out to identify fruit in clusters, which is critically important as fruit clusters are common in field conditions. This work focused on accurately identifying partially visible apples and apples in clusters using a machine vision system. An over the row platform with tunnel structure and artificial lighting was used to increase uniformity in imaging environment. Iterative Circular Hough Transform (CHT) was used to detect clearly...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Agricultural Engineering; Mechanization and Automation apple identification; Clustering; Circular Hough Transform; Blob analysis.
Ano: 2014 URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/3006
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Bioinformatics for the Citrus EST Project (CitEST) Genet. Mol. Biol.
Reis,Marcelo S.; Takita,Marco A.; Palmieri,Darío A.; Machado,Marcos A..
In this work we describe all the computational environments, pipelines, and web services developed for the CitEST transcriptome project, on which all the annotation researchers relied. We also present a complete list of CitEST libraries and, for each of them, the general features after the in silico processing, showing some quantitative information.
Tipo: Info:eu-repo/semantics/article Palavras-chave: Transcriptomics; Comparative genomics; Clustering; Trimming; Digital northern.
Ano: 2007 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572007000500031
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Clustering and artificial neural networks: classification of variable lengths of Helminth antigens in set of domains Genet. Mol. Biol.
Rodrigues,Thiago de Souza; Pacífico,Lucila Grossi Gonçalves; Teixeira,Santuza Maria Ribeiro; Oliveira,Sérgio Costa; Braga,Antônio de Pádua.
A new scheme for representing proteins of different lengths in number of amino acids that can be presented to a fixed number of inputs Artificial Neural Networks (ANNs) speel-out classification is described. K-Means's clustering of the new vectors with subsequent classification was then possible with the dimension reduction technique Principal Component Analysis applied previously. The new representation scheme was applied to a set of 112 antigens sequences from several parasitic helminths, selected in the National Center for Biotechnology Information and classified into fourth different groups. This bioinformatic tool permitted the establishment of a good correlation with domains that are already well characterized, regardless of the differences between...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Bioinformatics; Artificial neural networks; Clustering; Helminth antigen; Domain.
Ano: 2004 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572004000400032
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Clustering of Enterococcus faecalis infections in a cardiology hospital neonatal intensive care unit BJID
Strabelli,Tânia Mara Varejão; Cais,Daiane P.; Zeigler,Rogério; Siciliano,Rinaldo; Rodrigues,Cristhieni; Carrara,Dirceu; Neres,Suzi; Lessa,Sarita; Uip,David Everson.
Early identification of an outbreak is one of the main advantages of routine epidemiological surveillance. Enterococcus spp. used to be regarded as microorganisms of low pathogenicity, because they are part of the normal microbial flora of the gastrointestinal and genitourinary tract. Recently, they have emerged as important pathogenic agents, sometimes causing infections with high mortality rates. We studied a clustering of primary bloodstream infections caused by Enterococcus faecalis in a cardiology hospital neonatal intensive care unit (NICU). Four cases of primary bloodstream infection by E. faecalis were detected from April 15 to May 13, 2004, during active infection surveillance. The isolates were sensitive to glycopeptides. Some aspects of the...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Enterococcus faecalis; Clustering; Neonatal intensive care unit; Bloodstream; Infection.
Ano: 2006 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-86702006000200008
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DIETARY EVOLUTION OVER TIME IN EUROPE, BETWEEN CYCLOPS AND PHAECIANS . AN OUTLOOK ON THE ROLE OF SUPPLY-SIDE FACTORS IN DRIVING CHANGES IN THE FOOD PATTERNS AgEcon
Finardi, Corrado; Arfini, Filippo; Turrini, Aida.
The present study intends to shed light, both from a descriptive and investigative point of view on the dietary evolution taking place in Europe during last 45 years, using secondary data from FAO FBS, which can cover the entire time span considered and allow for several extrapolation and timeseries analysis, differently than single survey data.. After a clustering of selected european national diets, using specific metrics with respect both to internal and external variety (as measured by appropriate indicators), we intended to check the actual distance that average, national diets have in front of the so called Food Pyramid, which consists in a balance of several food items in adequate proportions and in fact glorifies the healthy virtues of the...
Tipo: Conference Paper or Presentation Palavras-chave: Diets; Evolution; Clustering; Food pyramid; Europe; Trade; GI; Agricultural and Food Policy; Consumer/Household Economics; Demand and Price Analysis; Food Consumption/Nutrition/Food Safety; Food Security and Poverty; Health Economics and Policy; E37; Q18.
Ano: 2010 URL: http://purl.umn.edu/116443
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Distribution of annual rainfall in homogeneous regions through data mining techniques in southern Brazil. Repositório Alice
AVILA, A. M. H. de; FERREIRA JÚNIOR, D.; OLIVEIRA, S. R. M..
This study aimed to transform time series of annual data of precipitation of Rio Grande do Sul in homogeneous precipitation regions through clustering techniques (data mining).
Tipo: Resumo em anais de congresso (ALICE) Palavras-chave: Séries históricas; Precipitação; Técnica de agrupamento; Dados faltantes; Risco climático; Precipitation; Clustering; Climatic risk; Missing data; Time series analysis; Cluster analysis.
Ano: 2015 URL: http://www.alice.cnptia.embrapa.br/handle/doc/1027267
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Does Knowledge-Based Economy Speaks to Consumers? A French Case Study with Respect to Food Products AgEcon
Giraud, Georges; Lebecque, Annick; Amblard, Corinne; Bord, Cecile; Sulmont-Rosse, Claire; Lefur, Yves.
The paradigm of knowledge-based economy states that information asymmetry between consumers and producers will be reduced thanks to information availability and dissemination through the Internet or other media channels. Conversely to this statement, some published articles shown that knowledge-based economy reinforces the information asymmetry between experts and novices among the consumers (Hogg et al., 2007; Gregan-Paxton & Roedder-John, 1997; Alba & Hutchinson, 1987). Accordingly, we will consider the non homogeneity of consumers and will try to identify and qualify the differences between several groups of respondents regarding two food items by means of a k-means clustering applied to a knowledge-oriented questionnaire.
Tipo: Conference Paper or Presentation Palavras-chave: Consumer Knowledge; Clustering; Wine; Cheese; France; Agribusiness; Agricultural and Food Policy; Farm Management; Food Consumption/Nutrition/Food Safety; Industrial Organization.
Ano: 2008 URL: http://purl.umn.edu/49848
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Do-it-yourself shuffling and the number of runs under randomness AgEcon
Smeeton, Nigel; Cox, Nicholas J..
A common class of problem in statistical science is estimating, as a benchmark, the probability of some event under randomness. For example, in a sequence of events in which several outcomes are possible and the length of the sequence and number of outcomes of each type known, the number of runs gives an indication of whether the outcomes are random, clustered, or alternating. This note explains and illustrates a simple method of random shuffling that is often useful. We show how the conditional probability distribution of the number of runs may be derived easily in Stata, thus yielding p-values for testing the null hypothesis that the type of outcome is random. We also compare our direct approach with that using the simulate command.
Tipo: Journal Article Palavras-chave: Alternation; Categorical data; Clustering; Conditional distribution; Forvalues; P-value; Permutation; Run; Sequence; Simulate; Simulation; Research Methods/ Statistical Methods.
Ano: 2003 URL: http://purl.umn.edu/116095
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Energy Efficient Clustering in Multi-hop Wireless Sensor Networks Using Differential Evolutionary MOPSO BABT
Prasad,D. Rajendra; Naganjaneyulu,P. V.; Prasad,K. Satya.
ABSTRACT The primary challenge in organizing sensor networks is energy efficacy. This requisite for energy efficacy is because sensor nodes capacities are limited and replacing them is not viable. This restriction further decreases network lifetime. Node lifetime varies depending on the requisites expected of its battery. Hence, primary element in constructing sensor networks is resilience to deal with decreasing lifetime of all sensor nodes. Various network infrastructures as well as their routing protocols for reduction of power utilization as well as to prolong network lifetime are studied. After analysis, it is observed that network constructions that depend on clustering are the most effective methods in terms of power utilization. Clustering divides...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Wireless Sensor Network (WSN); Clustering; Low Energy Adaptive Clustering Protocol (LEACH); Particle Swarm Optimization (PSO); Multi-Objective Particle Swarm Optimization (MOPSO); Differential Evolution (DE).
Ano: 2016 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132016000300600
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Forecasting Housing Prices under Different Submarket Assumptions AgEcon
Chen, Zhuo; Cho, Seong-Hoon; Poudyal, Neelam C.; Roberts, Roland K..
This research evaluated forecasting accuracy of hedonic price models based on a number of different submarket assumptions. Using home sale data for the City of Knoxville and vicinities merged with geographic information, we found that forecasting housing prices with submarkets defined using expert knowledge and by school district and combining information conveyed in different modeling strategies are more accurate and efficient than models that are spatially aggregated, or with submarkets defined by statistical clustering techniques. This finding provided useful implications for housing price prediction in an urban setting and surrounding areas in that forecasting models based on expert knowledge of market structure or public school quality and simple...
Tipo: Conference Paper or Presentation Palavras-chave: Clustering; Forecasting; Hedonic price; Housing Submarket; Demand and Price Analysis; C53; R21.
Ano: 2007 URL: http://purl.umn.edu/9689
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Genetic divergence among cupuaçu accessions by multiscale bootstrap resampling Bragantia
Santos,Vinicius Silva dos; Martins Filho,Sebastião; Alves,Rafael Moysés; Resende,Marcos Deon Vilela de; Silva,Fabyano Fonseca e.
This study aimed at investigating the genetic divergence of eighteen accessions of cupuaçu trees based on fruit morphometric traits and comparing usual methods of cluster analysis with the proposed multiscale bootstrap resampling methodology. The data were obtained from an experiment conducted in Tomé-Açu city (PA, Brazil), arranged in a completely randomized design with eighteen cupuaçu accessions and 10 repetitions, from 2004 to 2011. Genetic parameters were estimated by restricted maximum likelihood/best linear unbiased prediction (REML/BLUP) methodology. The predicted breeding values were used in the study on genetic divergence through Unweighted Pair Cluster Method with Arithmetic Mean (UPGMA) hierarchical clustering and Tocher’s optimization method...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Clustering; UPGMA; Tocher; Theobroma grandiflorum.
Ano: 2015 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052015000200169
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Genetic divergence of Anthurium affine germplasm using morphoagronomic and molecular descriptors. Repositório Alice
MAIA, C. Y.; SOARES, N. S.; CASTRO, A. C. R. de; QUEIRÓS, J. R. A. de; ARAGAO, F. A. S. de; BORDALLO, P. do N..
bitstream/item/218138/1/ART20106.pdf
Tipo: Artigo em periódico indexado (ALICE) Palavras-chave: RAPD; Clustering; Characterization; Agrupamento; Caracterização; Variação Genética; Genetic variation; Ornamental plants.
Ano: 2020 URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1126964
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Genetic evaluation of Jatropha curcas: an important oilseed for biodiesel production. Repositório Alice
FREITAS, R. G.; MISSIO, R. F.; MATOS, F. S.; RESENDE, M. D. V. de; DIAS, L. A. S..
Jatropha curcas, internationally and locally known, respectively, as physic nut and pinhão manso, is a highly promising species for biodiesel production in Brazil and other countries in the tropics. It is rustic, grows in warm regions and is easily cultivated. These characteristics and high-quality oil yields from the seeds have made this plant a priority for biodiesel programs in Brazil. Consequently, this species merits genetic investigations aimed at improving yields. Some studies have detected genetic variability in accessions in Africa and Asia. We have made the first genetic evaluation of J. curcas collected from Brazil. Our objective was to quantify genetic diversity and to estimate genetic parameters for growth and production traits and seed oil...
Tipo: Artigo em periódico indexado (ALICE) Palavras-chave: Oil content; Genetic diversity; Heritability; Clustering; Genetic correlation.
Ano: 2011 URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/897234
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Genetic variability of selected Passiflora alata genotypes based on the physical characteristics of fruits Ciência Rural
D'Abadia,Ana Claudia Alves; Faleiro,Fábio Gelape; Costa,Ana Maria; Junqueira,Nilton Tadeu Vilela; Braga,Marcelo Fideles.
ABSTRACT: Over several past centuries, specific plant populations have been carefully selected to filter strains with higher agronomic performance. Genetic variability is most essential for successful selection. The Passiflora genus offers great inter- and intra-specific variability. This study aimed to evaluate the physical characteristics of the genotypes of the elite passion fruit (Passiflora alata) for selection purpose. We considered the physical traits of fruit mass, longitudinal and equatorial diameters, peel thickness and color, and pulp mass and volume without and with seeds and pulp yield. The sources of variation for the analysis of variance included the fruits of 8 elite genotypes, with 3 replications, whose means were compared by Tukey’s test...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Passiflora; Sweet passion fruit; Clustering; Main components.
Ano: 2020 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782020000200402
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Glycosynapses: microdomains controlling carbohydrate-dependent cell adhesion and signaling Anais da ABC (AABC)
Hakomori,Senitiroh.
The concept of microdomains in plasma membranes was developed over two decades, following observation of polarity of membrane based on clustering of specific membrane components. Microdomains involved in carbohydrate-dependent cell adhesion with concurrent signal transduction that affect cellular phenotype are termed "glycosynapse". Three types of glycosynapse have been distinguished: "type 1" having glycosphingolipid associated with signal transducers (small G-proteins, cSrc, Src family kinases) and proteolipids; "type 2" having O-linked mucin-type glycoprotein associated with Src family kinases; and "type 3" having N-linked integrin receptor complexed with tetraspanin and ganglioside. Different cell types are characterized by presence of specific types...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Clustering; Carbohydrate-to-carbohydrate interaction; Carbohydrate-binding protein; Integrin; Tetraspanin; Growth factor receptor.
Ano: 2004 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652004000300010
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High resolution overview of phytoplankton spectral groups and hydrological conditions in the eastern English Channel using unsupervised clustering ArchiMer
Lefebvre, Alain; Poisson-caillault, Emilie.
As we move towards shipboard-underway and automated systems for monitoring water quality and assessing ecological status, there is a need to evaluate how effective the existing monitoring systems are, and how we could improve them. Considering the existing limitations for processing numerous and complex data series generated from automated systems, and because of processes involved in phytoplankton blooms, this paper proposes a data-driven evaluation of an unsupervised classifier to optimize the way we track phytoplankton, including harmful algal blooms (HABs), and to identify the main associated hydrological conditions. We used in situ data from a portable flow-through automatic measuring system coupled with a multi-fixed-wavelength fluorometer...
Tipo: Text Palavras-chave: Clustering; Spectral fluorescence; Phaeocystis globosa; English Channel Ferry Box; MSFD; Marine Strategy Framework Directive.
Ano: 2019 URL: https://archimer.ifremer.fr/doc/00479/59043/61793.pdf
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How do coral reef Gastropods feel about nuclear blasts? A long-term study of the effects of man-made perturbations ArchiMer
Lanctot, Jl; Legendre, P; Salvat, B.
The resistance to perturbations of reef-dwelling gastropod assemblages was studied on the seaward reefs of Fangataufa atoll (French Polynesia) after their exposure to atmospheric nuclear tests, a major man-made perturbation. We focused on two important aspects: (1) the temporal evolution of the densities of the most important species before and after the tests, and (2) the temporal evolution of the spatial structure of the assemblages. Three transects, crossing several geomorphological zones, were established on the seaward reefs of the atoll. Each transect was sampled at irregular time intervals during a twenty-year period. Several univariate and multivariate methods were used to study (1) the temporal fluctuations in species abundances and ranks, and (2)...
Tipo: Text Palavras-chave: Atmospheric nuclear tests; Clustering; Coral reefs; Gastropods; Perturbation.
Ano: 1997 URL: http://archimer.ifremer.fr/doc/00093/20394/18061.pdf
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Hypothesis testing of genetic similarity based on RAPD data using Mantel tests and model matrices Genet. Mol. Biol.
Rodrigues,Flávia Melo; Diniz-Filho,José Alexandre Felizola; Bataus,Luiz Artur Mendes; Bastos,Rogério Pereira.
Clustering and ordination procedures in multivariate analyses have been widely used to describe patterns of genetic distances. However, in some cases, such as when dealing with Jaccard coefficients based on RAPD data, these techniques may fail to represent genetic distances because of the high dimensionality of the genetic distances caused by stochastic variation in DNA fragments among the units analyzed (species or populations). In this note, we show how Mantel tests can be used to test hypotheses about genetic distances and avoid problems with multivariate data representation. The procedure is illustrated with RAPD data comparing 20 anuran species from the cerrado, in which Jaccard genetic distances were compared to three model matrices linking the...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Anura; Clustering; Genetic distances; Mantel test; RAPD.
Ano: 2002 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572002000400013
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