Výsledky vyhledávání - "Renato de Arruda Penteado Neto"

Exhaust emissions of gaseous and particle size-segregated water-soluble organic compounds from diesel-biodiesel blends

Autor: Margarita G. Evtyugina, Cátia Gonçalves, Célia Alves, Sérgio M. Corrêa, Luiz Carlos Daemme, Renato de Arruda Penteado Neto

Publikováno v: Environmental Science and Pollution Research. 30:63738-63753

This study assessed the emissions of gaseous pollutants and particle size distributed water-soluble organics (WSO) from a diesel vehicle fuelled with ultralow sulphur diesel (B0) and 10 (B10), 20 (B20), and 30% (B30) biodiesel blends in a chassis dyn

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b1a30b063f12a7cb22461dc24420db41
https://doi.org/10.1007/s11356-023-26819-3

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Akademický článek

Análise de frequência de vícios construtivos em habitações de interesse social

Autor: Carlos Eduardo Rosa Santos, Renato de Arruda Penteado Neto

Publikováno v: PARC: Pesquisa em Arquitetura e Construção, Vol 11 (2020)

A grande frequência de vícios de construção em unidades habitacionais de interesse social no Brasil é um problema que historicamente preocupa o setor da construção civil. A Caixa Econômica Federal financia parcela significativa dessas habita�

Externí odkaz: https://doaj.org/article/a595f59c830342abac9df701a928a028

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Akademický článek

Blending Colored and Depth CNN Pipelines in an Ensemble Learning Classification Approach for Warehouse Application Using Synthetic and Real Data

Autor: Paulo Henrique Martinez Piratelo, Rodrigo Negri de Azeredo, Eduardo Massashi Yamao, Jose Francisco Bianchi Filho, Gabriel Maidl, Felipe Silveira Marques Lisboa, Laercio Pereira de Jesus, Renato de Arruda Penteado Neto, Leandro dos Santos Coelho, Gideon Villar Leandro

Publikováno v: Machines, Vol 10, Iss 1, p 28 (2021)

Electric companies face flow control and inventory obstacles such as reliability, outlays, and time-consuming tasks. Convolutional Neural Networks (CNNs) combined with computational vision approaches can process image classification in warehouse mana

Externí odkaz: https://doaj.org/article/253e4d40a70440b29aff14a4f04b05e2

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Convolutional neural network applied for object recognition in a warehouse of an electric company

Autor: Eduardo Massashi Yamao, Leandro dos Santos Coelho, Renato de Arruda Penteado Neto, Gideon Villar Leandro, Rodrigo Negri de Azeredo, Paulo Henrique Martinez Piratelo, Gabriel Maidl, Laercio Pereira de Jesus

Publikováno v: 2021 14th IEEE International Conference on Industry Applications (INDUSCON).

This paper presents a computational tool that analyzes the quality of captured colored images and classifies products of an electrical company’s warehouse using Convolutional Neural Network (CNN). The tool is part of a prototype aiming at automated

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b928dcc11b18bc1b9b74c4b0f1ad41c7
https://doi.org/10.1109/induscon51756.2021.9529716

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Energy and emission impacts of liquid fueled engines compared to electric motors for small size motorcycles based on the Brazilian scenario

Autor: Natália de Assis Brasil Weber, Paulo Smith Schneider, Renato de Arruda Penteado Neto, Bárbara Pacheco da Rocha, Luiz Carlos Daemme

Publikováno v: Energy. 168:70-79

Real data from dynamometric essays of electric and internal combustion engines motorcycles pointed out a 3 times superior energy performance of electric driven vehicles (47.06% efficiency) compared to the average value for liquid fueled engines (15.3

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a064d9b5ac440596956936e2d210938e
https://doi.org/10.1016/j.energy.2018.11.051

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