Filtering Of Data
Mostrando 1-12 de 131 artigos, teses e dissertações.
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1. A Novel In Silico Monte Carlo Approach to Optimize a PSD Estimation Problem. Generation of Data Fusion Experiment Rules
ABSTRACT This article analyzes the performance of combining information from Scanning Electron Microscopy (SEM) micrographs with Static Light Scattering (SLS) measurements for retrieving the so-called Particle Size Distribution (PSD) in terms of experimental features. The corresponding data fusion is implemented using a novel Monte Carlo-based method consist
Trends in Computational and Applied Mathematics. Publicado em: 2022
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2. The potential impact of the COVID-19 pandemic on child growth and development: a systematic review
Abstract Objective This was a systematic review of studies that examined the impact of epidemics or social restriction on mental and developmental health in parents and children/adolescents. Source of data The PubMed, WHO COVID-19, and SciELO databases were searched on March 15, 2020, and on April 25, 2020, filtering for children (0-18 years) and humans.
J. Pediatr. (Rio J.). Publicado em: 2021-08
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3. EFFECT OF WAVELET DE-NOISING ON THE CLASSIFICATION OF PIG BEHAVIOUR
ABSTRACT To efficiently eliminate the noise generated by the triaxial accelerometer when collecting pigs’ behavioural data, this paper adopted SNR and MSE as the indexes to evaluate the de-noising effect of pigs’ acceleration signal under various combinations of wavelet basis, decomposition layer, threshold rule and threshold function. Based on the optim
Eng. Agríc.. Publicado em: 2021-05
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4. Data processing within rows for sugarcane yield mapping
ABSTRACT: The mapping of sugarcane yield is still not as widely available as it is for grain crops. Sugarcane harvesters cut and process the cane in a single or maximum of two rows, facilitating the monitoring of cane yield and its behavior on a small scale. This study tested a method for sugarcane yield data cleaning, investigating if the data recording fre
Sci. agric. (Piracicaba, Braz.). Publicado em: 20/12/2019
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5. A modelagem matemática nos anos iniciais como perspectiva para o ensino de matemática: um panorama de publicações brasileiras em periódicos (de 2009 a 2018)
RESUMO Este artigo apresenta um panorama de produções científicas relativas à modelagem matemática nos anos iniciais do ensino fundamental do Brasil como nova perspectiva para o ensino de matemática, tendo-se por referência o período de 2009 a 2018. Esta investigação foi realizada segundo os critérios da pesquisa qualitativa, utilizando os caracte
Educ. rev.. Publicado em: 05/12/2019
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6. Stem Modelling of Eucalyptus by Terrestrial Laser Scanning
ABSTRACT The objective of this work was to obtain the stem volume from 3D-cloud points generated by terrestrial laser scanning in Eucalyptus stands. The processing started with using algorithms for tree detection in plantation (TDP) and stem filtering (Filter Dmax). Then, the acquisition of the total height was made semi-automatically and tridimensional mode
Floresta Ambient.. Publicado em: 22/08/2019
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7. INTEGRATION OF A LOW-COST GLOBAL NAVIGATION SATELLITE SYSTEM TO A SINGLE-BOARD COMPUTER USING KALMAN FILTERING
ABSTRACT The global navigation satellite system (GNSS) is the basis for localized crop management by allowing the georeferencing of collected data and the generation of maps by different systems that compose precision agriculture. There is a demand for low-cost navigation systems to enable their use in agriculture. Therefore, the objective of this study is t
Eng. Agríc.. Publicado em: 19/06/2019
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8. STRATEGY FOR EXTRACTION OF FOURSQUARE’S SOCIAL MEDIA GEOGRAPHIC INFORMATION THROUGH DATA MINING
Resumo Este trabalho tem por objetivo a aquisição de dados geográficos do aplicativo Foursquare, empregando mineração de dados para efetuar análises exploratórias e espaciais da distribuição de pontos turísticos e de sua distribuição de densidade no município do Rio de Janeiro. Desta forma, seguindo a metodologia de Extração, Transformação e
Bol. Ciênc. Geod.. Publicado em: 18/04/2019
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9. Comparing the Performance of Ground Filtering Algorithms for Terrain Modeling in a Forest Environment Using Airborne LiDAR Data
ABSTRACT The aim of this study was to evaluate the performance of four ground filtering algorithms to generate digital terrain models (DTMs) from airborne light detection and ranging (LiDAR) data. The study area is a forest environment located in Washington state, USA with distinct classes of land use and land cover (e.g., shrubland, grassland, bare soil, an
Floresta Ambient.. Publicado em: 01/02/2018
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10. A System Based on Artificial Neural Networks for Automatic Classification of Hydro-generator Stator Windings Partial Discharges
Abstract Partial discharge (PD) monitoring is widely used in rotating machines to evaluate the condition of stator winding insulation, but its practice on a large scale requires the development of intelligent systems that automatically process these measurement data. In this paper, it is proposed a methodology of automatic PD classification in hydro-generato
J. Microw. Optoelectron. Electromagn. Appl.. Publicado em: 2017-09
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11. USING PASSIVE AND ACTIVE MULTISPECTRAL SENSORS ON THE CORRELATION WITH THE PHENOLOGICAL INDICES OF COTTON
ABSTRACT: The investment in precision agriculture technologies has been growing as well the investment in vegetation index sensors with different types of data collection. This study aimed to evaluate the NDVI potential use obtained from passive and active multispectral sensors as phenological parameters indicator of cotton growth. The experiment was conduct
Eng. Agríc.. Publicado em: 2017-08
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12. An Improved Method for Acquisition of the Parameters of Jiles-Atherton Hysteresis Scalar Model Using Integral Calculus
Abstract An accurate modeling of materials is essential to obtain reliable results in fields calculation. The Jiles-Atherton approach is widely used for modeling the magnetic hysteresis and depends on its set of five parameters to properly represent material. In this article is proposed an original methodology for obtaining this set of parameters avoiding th
J. Microw. Optoelectron. Electromagn. Appl.. Publicado em: 2017-03