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基于次优网络深度学习的3D打印机故障诊断

机械工程学报 2019年第7期55卷 73-80页

作者：李川张绍辉 josé Valentede oliveira 重庆工商大学国家智能制造服务国际科技合作基地华南理工大学机械与汽车工程学院葡萄牙阿尔加维大学CEOT中心

为实现精度可靠且成本节约的3D打印机故障诊断,釆用消费品级的姿态传感器釆集打印机的健康状态数据,并提出次优网络深度学习以弥补低成本硬件精度的不足。次优网络深度学习在由预训练和精细调节组成的传统深度学习基础上,一方面提出预... 详细信息

为实现精度可靠且成本节约的3D打印机故障诊断,釆用消费品级的姿态传感器釆集打印机的健康状态数据,并提出次优网络深度学习以弥补低成本硬件精度的不足。次优网络深度学习在由预训练和精细调节组成的传统深度学习基础上,一方面提出预分类方法自适应确定次优的网络结构参数,另一方面釆用精细分类方法进一步提高故障诊断分类的精度。试验中,将姿态传感器安装于并联臂3D打印传动链的末端即打印头上。传感器全部通道的运动信号作为输入信息,釆用深度玻尔兹曼机构建了次优网络故障诊断算法进行大数据驱动的故障诊断。将所提岀的次优网络深度学习故障诊断方法与其他方法相比较,其结果表明,所提出方法可以有效诊断3D打印机的传动故障。

关键词： 3D打印故障诊断深度学习次优网络大数据

The assessment of climatic,environmental,and socioeconomic aspects of the Brazilian Cerrado

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Ecological Processes 2023年第1期12卷 274-285页

作者： Washington Luiz Félix Correia Filho joséFrancisco de oliveira-Júnior Dimas de Barros Santiago Hazem Ghassan Abdo Hussein Almohamad Ahmed Abdullah Al Dughairi Carlos Antonio da Silva Junior Postgraduate Program in Environmentrics(PPGAmb) Institute of MathematicsStatisticsand Physics(IMEF)Federal University of Rio Grande(FURG)Rio GrandeRio Grande do Sul 96203-900Brazil Institute of Atmospheric Sciences(ICAT) Federal University of Alagoas(UFAL)MaceióAlagoas 57072-260Brazil Postgraduate Program in Biosystems Engineering(PGEB) Federal Fluminense University(UFF)NiteróiRio de Janeiro 24220-900Brazil Postgraduate Program in Meteorology Unidade Acadêmica de Ciências Atmosféricas(UACA)Federal University of Campina Grande(UFCG)Campina GrandeParaíba 58429-140Brazil Geography Department Faculty of Arts and HumanitiesTartous UniversityTartousSyria Geography Department Faculty of Arts and HumanitiesDamascus UniversityDamascusSyria Geography Department Faculty of Arts and HumanitiesTishreen UniversityLat-takiaSyria Department of Geography College of Arabic Language and Social StudiesQassim UniversityBuraydah 51452Saudi Arabia Departamento de Geografia State University of Mato Grosso(UNEMAT)SinopMato Grosso 78555-000Brazil

Background The Cerrado is the most biodiverse savanna and maintains other *** of its significance,this paper evaluated the Brazilian Cerrado’s climatic,environmental,and socioeconomic aspects using remote sensing data and spatial statistics(correlation analysis and principal components analysis—PCA).Following the measures of sample adequacy(MSA)and Kaiser–Meyer–Olkin(KMO)tests,seventeen variables were *** The MSA revealed that the dataset had a good quality(0.76),and nine variables were selected:elevation,evapotranspiration,active fires,Human Development Index(HDI),land use and land cover(LULC;shrubland and cropland/rainfed),rainfall(spring and autumn),and *** correlation matrix indicated a positive(negative)association between HDI and autumn rainfall(HDI and active fires)with a value of 0.77(-0.55).The PCA results determined which three principal components(PC)were adequate for extracting spatial patterns,accounting for 68.02%of the total variance with respective values of 38.59%,16.89%,and 12.5%.Due to economic development and agribusiness,Cerrado’s northern(central,western,and southern)areas had negative(positive)score HDI values,as shown in ***(rainfall—spring and fall)and environmental(cropland/rainfed and shrubland)aspects dominated the PC2,with negative scores in northern and western portions due to the transition zone between Amazon and Cerrado biomes caused by rainfall *** the other hand,environmental aspects(LULC-shrubland and elevation)influenced the PC3;areas with high altitudes(>500 m)received a higher *** Agricultural expansion substantially affected LULC,leading to deforestation-caused suppression of native vegetation.

关键词： Environment Agribusiness Active fire Human Development Index Land use and land cover

Object-based image analysis supported by data mining to discriminate large areas of soybean

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International Journal of Digital Earth 2019年第3期12卷 270-292页

作者： Carlos Antonio da Silva Junior Marcos Rafael Nanni josé Francisco de oliveira-Júnior Everson Cezar Paulo Eduardo Teodoro Rafael Coll Delgado Luciano Shozo Shiratsuchi Muhammad Shakir Marcelo Luiz Chicati Geotechnology Applied in Agriculture and Forest(GAAF) State University of Mato Grosso(UNEMAT)Alta FlorestaMato GrossoBrazil Department of Agronomy(DAG/PGA) State University of Maringá(UEM)MaringáParanáBrazil Institute of Atmospheric Sciences(ICAT) Federal University of Alagoas(UFAL)MaceióAlagoasBrazil Federal University of Mato Grosso do Sul(UFMS) Chapadão do SulMato Grosso do SulBrazil Department of Environmental Sciences(DCA) Forestry Institute(IF)Federal Rural University of Rio de Janeiro(UFRRJ)SeropédicaRio de JaneiroBrazil AgCenter Louisiana State University(LSU)Baton RougeLAUSA Institute of Space Technology Islamabad Pakistan IslamabadPakistan

This research aimed to analyze the possibility to estimate and automatically map large areas of soybean cultivation through the use of MODIS(Moderate-Resolution Imaging Spectroradiometer)*** major techniques were used:GEOgraphic-Object-Based Image Analysis(GEOBIA)and Data Mining(DM).In order to obtain the images,the segmentation algorithm implemented by Definiens Developer was used.A decision tree(DT)was created from a training set previously ***-series of images from the MODIS sensor aboard the Terra satellite were acquired in order to represent the wide variation of the vegetation pattern along the soybean crop *** time-series data were used only for the CEI ***,to compare the results obtained from GEOBIA,the slicing technique was used at the CEI *** the training,the DT was applied to the vegetation indices generating the thematic map of the spatial distribution of *** accordance with the error matrix and kappa parameter analysis,tests for statistical significance were *** indicate that the classification achieved by Kappa coefficients is *** short,the obtained results proved that combining vegetation indices and time-series data using GEOBIA return promising results for mapping soybean plantation on a regional scale.

关键词： GEOBIA time-series vegetation indices MODIS vegetation dynamics

Physical activity in primary and secondary prevention of cardiovascular disease:Overview updated

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World Journal of Cardiology 2016年第10期8卷 575-583页

作者： Alberto J Alves Joao L Viana Suiane L Cavalcante Nórton L oliveira joséA Duarte Jorge Mota joséoliveira Fernando Ribeiro Research Centre in Sports Sciences Health and Human DevelopmentCIDESDUniversity Institute of Maia Research Center in Physical Activity Health and LeisureCIAFELFaculty of SportUniversity of Porto School of Health Sciences and Institute of Biomedicine iB iM EDUniversity of Aveiro

Although the observed progress in the cardiovascular disease treatment, the incidence of new and recurrent coronary artery disease remains elevated and constitutes the leading cause of death in the developed countries. Three-quarters of deaths due to cardiovascular diseases could be prevented with adequate changes in lifestyle, including increased daily physical activity. New evidence confirms that there is an inverse dose-response relationship between physical activity and cardiovascular disease and mortality risk. However, participation in moderate to vigorous physical activity may not fully attenuate the independent effect of sedentary activities on increased risk for cardiovascular diseases. Physical activity also plays an important role in secondary prevention of cardiovascular diseases by reducing the impact of the disease, slowing its progress and preventing recurrence. Nonetheless, most of eligible cardiovascular patients still do not benefit from secondary prevention/cardiac rehabilitation programs. The present review draws attention to the importance of physical activity in the primary and secondary prevention of cardiovascular diseases. It also addresses the mechanisms by which physical activity and regular exercise can improve cardiovascular health and reduce the burden of the disease.

关键词： Physical activity Primary prevention Secondary prevention Cardiovascular disease Health care evaluation mechanisms

19-year remotely sensed data in the forecast of spectral models of the environment

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International Journal of Digital Earth 2021年第8期14卷 1040-1066页

作者： Fernando Saragosa Rossi Carlos Antonio da Silva Junior joséFrancisco de oliveira-Júnior Paulo Eduardo Teodoro Luciano Shozo Shiratsuchi Mendelson Lima Larissa Pereira Ribeiro Teodoro Auana Vicente Tiago Guilherme Fernando Capristo-Silva State University of Mato Grosso(UNEMAT) Alta FlorestaMato GrossoBrazil Department of Geography State University of Mato Grosso(UNEMAT)SinopMato GrossoBrazil cFederal University of Alagoas(UFAL) MaceióAlagoasBrazil dFederal University of Mato Grosso do Sul(UFMS) Chapadão do SulMato Grosso do SulBrazil eAgCenter School of PlantEnvironmentaland Soil SciencesLouisiana State University(LSU)Baton RougeLouisianaUSA fPostgraduate Program in Agronomy Federal University of Mato Grosso(UFMT)SinopMato GrossoBrazil

The aims of this study were:i)to compare no-till areas in two municipalities located in different regions of Brazil,along with the influence on CO_(2)Flux and GPP,and ii)to verify the difference between environmental factors followed by the trends of these variables regarding future scenarios(ARIMA time-series model number).The study was carried out in two areas with different latitudes in the municipalities of Sinop-MT and Passo Fundo-RS,both in Brazil.A time series of 19 years was performed with data acquired by remote sensing from the following satellites:i)Landsat-8(OLI and TIRS),and ii)TERRA/AQUA(MODIS).The results propound that the spectro-temporal variables are directly influenced by soil management and agricultural practices over the observation time,with a satisfactory correlation in future predictions of the variables for the next ten years,in which presented that the variation of GPP and albedo values for the two study sites would gradually increase until 2028 and the temperature remained constant between the range of its seasonality,and CO_(2)Flux tends to decrease in its seasonality,indicating a higher CO_(2) absorption.

关键词： ARIMA numerical modeling remote sensing orbital products tillage

Tribologically induced nanostructural evolution of carbon materials: A new perspective

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Friction 2024年第1期12卷 144-163页

作者： Guilherme oliveira NEVES Nicolás ARAYA Diego Berti SALVARO Thiago de Souza LAMIM Renan Oss GIACOMELLI Cristiano BINDER Aloisio Nelmo KLEIN joséDaniel Biasoli de MELLO Laboratório de Materiais Universidade Federal de Santa CatarinaSanta Catarina 88040-900Brazil Departamento de Ingeniería Mecánica Facultad de IngenieríaUniversidad del Bío-BíoConcepcion 4070-386Chile Universidad de Concepción Concepcion 4070-386Chile SENAI Innovation Institute for Laser Processing Santa Catarina 89218-153Brazil Universidade Federal de Uberlândia Minas Gerais 38408-100Brazil

Carbon-based solid lubricants are excellent options to reduce friction and wear,especially with the carbon capability to adopt different allotropes *** the macroscale,these materials are sheared on the contact along with debris and contaminants to form tribolayers that govern the tribosystem *** a recently developed advanced Raman analysis on the tribolayers,it was possible to quantify the contactinduced defects in the crystalline structure of a wide range of allotropes of carbon-based solid lubricants,from graphite and carbide-derived carbon particles to multi-layer graphene and carbon *** addition,these materials were tested under various dry sliding conditions,with different geometries,topographies,and solid-lubricant application *** of the initial tribosystem conditions and allotrope level of atomic ordering,there is a remarkable trend of increasing the point and line defects density until a specific saturation limit in the same order of magnitude for all the materials tested.

关键词： carbon nanostructures tribology Raman spectroscopy defects quantification tribolayer solid lubrication

MULTI-OBJECTIVE EVOLUTIONARY OPTIMIZATION OF ACCURACY AND INTERPRETABILITY FOR NEUROMUSCULAR BLOCKADE CONTROL

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MULTI-OBJECTIVE EVOLUTIONARY OPTIMIZATION OF ACCURACY AND IN...

Rainfall variability in the Brazilian northeast biomes and their interactions with meteorological systems and ENSO via CHELSA product

第11届国际模糊系统协会世界大会

作者： Paulo Fazendeiro josé Valente de oliveira Witold Pedrycz Department of Informatics University of Beira InteriorPortugal Faculty of Science and Technology University of AlgarvePortugal Department of Electrical and Computer Engineering University of AlbertaCanada

＜正＞ We further investigate the relationship between accuracy and interpretability during the design of fuzzy systems. Both aspects are of major importance for the control of neuromuscular blockade. After describing how these goals can be measured, a multi-objective evolutionary optimization scheme is set up. The results show that even for the best optimization runs at the accuracy side of the Pareto front, the most accurate solutions detain an acceptable degree of interpretability.

关键词： interpretability accuracy multiobjective optimization evolutionary optimization neuromuscular blockade semantic integrity fuzzy control

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Big Earth Data 2019年第4期3卷 315-337页

作者： Washington Luiz Félix Correia Filho joséFrancisco De oliveira-Júnior Dimas De Barros Santiago Paulo Miguel De Bodas Terassi Paulo Eduardo Teodoro Givanildo De Gois Claudio joséCavalcante Blanco Pedro Henrique De Almeida Souza Micejane da Silva Costa Heliofábio Barros Gomes Paulo joséDos Santos Institute of Atmospheric Sciences(ICAT) Federal University of Alagoas(UFAL)MaceióBrazil Postgraduate Program in Biosystems Engineering(PGEB) Federal Fluminense University(UFF)NiteróiBrazil Postgraduate Program in Meteorology Unidade Acadêmica de Ciências Atmosféricas(UACA)Federal Universityof Campina Grande(UFCG)Campina GrandeBrazil Postgraduate Program in Physical Geography University of São Paulo(USP)São PauloBrazil Federal University of Mato Grosso do Sul(UFMS) Chapadão do SulBrazil fSchool of Industrial Metallurgical Engineering of Volta Redonda Technological CenterUniversidade Federal Fluminense(UFF)Volta RedondaBrazil Faculty of Sanitary and Environmental Engineering(FAESA/ITEC) Federal University of Pará(UFPA)BelémBrazil

Brazilian biomes are home to a significant portion of the world’s biodiversity,with a total of 14%of existing species and still concentrate 20%of the world’s water ***,changes in biomes have a direct impact on rainfall patterns and water *** on this,the objective was to evaluate the variability of rainfall in the four existing biomes in the Northeast Brazil(NEB)and their interaction with the ENSO climate variability mode and regional scale meteorological systems via CHELSA *** this,monthly rainfall data were used from 1979 to 2013,with a spatial resolution of 1 km×1 km of the CHELSA product,and seasonal and annual rainfall patterns were extracted via *** was found that the rainy season in the Amazon,Caatinga and Cerrado biomes occurred between January and April,with varying intensities,except for the Atlantic *** seasonality patterns are associated with the NEB meteorological systems,with emphasis on ITCZ(all Biomes),UTCV(Amazon,Caatinga and Cerrado),Frontal Systems(extreme south of Caatinga,Cerrado and Atlantic Forest)and EWD/TWD in the(Atlantic Forest).In the inter-annual scale,the remarkable influence of ENSO was verified,mainly in the years 1983,1985,1989,1993,1998,2009 and *** is noteworthy that 1985 was the wettest year of the period,with a surplus in all biomes,while the driest year differs between the Amazon(1983),Atlantic Forest and Caatinga(1993)and Cerrado(2012)*** study via orbital product in NEB showed that anthropogenic processes and natural variability interfere with the forms of rain interception in the biomes and hence in rainfall patterns and water recycling in NEB.

关键词： Phytophysiognomy rainfall inter-annual variability water recycling climate change land use and occupation

Associations between sociodemographic factors and physical activity and sedentary behaviors in adults with chronic diseases during COVID-19 pandemic

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Sports Medicine and Health Science 2020年第4期2卷 216-220页

作者： Jean Marinho da Silva Rozangela Verlengia joséJonas de oliveira Anna Gabriela Silva Vilela Ribeiro Carolina Gabriela Reis Barbosa Uliana Sbeguen Stotzer Alex Harley Crisp Post-Graduate Program in Human Movement Sciences Methodist University of Piracicaba(UNIMEP)PiracicabaSPBrazil Physical Education Department Faculty of S~ao Lourenço(UNISEPE)S~ao LourençoMinas GeraisBrazil Physical Education Department University Centre of Itajubá(FEPI)ItajubáMinas GeraisBrazil

The pandemic of the new coronavirus(COVID-19)may be affecting the physical activity(PA)level in much of the *** study aimed to investigate the prevalence of physical inactivity and sedentary behavior(SB)among adults with chronic diseases and their associations with sociodemographic factors during the COVID-19 *** cross-sectional study included 249 participants(age:18-91 years;61.4%female)with chronic conditions and attended the Family Health Strategy program in a small town in *** were collected between 2020-07-13 and 2020-07-24 by face-to-face ***-reported PA,sitting time,chronic diseases,medication use,sociodemographic data,and self-isolation adherence were obtained by *** this specific time point of the COVID-19 pandemic,71.5%of participants did not meet the PA recommendations(≥500 METs-min/week),and the prevalence of SB risk(≥4 h sitting)was 62.7%.Adjusted logistic regression indicated that male participants(odds ratio[OR]:1.89[95%CI 1.02-3.53]),living alone(OR:2.92[95%CI 1.03-8.30])or in a two-person household(OR:2.32[95%CI 1.16-4.63]),and those who reported sometimes performing self-isolation(OR:3.07[95%CI 1.47-6.40])were more likely to meet the minimum PA *** smokers had a lower odds(OR:0.36[95%CI 0.14-0.95])of meeting the PA *** participants(OR:2.18[95%CI 1.06-4.50])and those who had multimorbidity(OR:1.92[95%CI 1.07-3.44])were more likely to have a higher degree of *** is an urgent need to mitigate physical inactivity and SB,and public health interventions must take into account sociodemographic status.

关键词： Moderate-to-vigorous physical activity Sitting time Morbidity Coronavirus Quarantine