8 research outputs found
Arquitetura de sistemas viáveis aplicada à manutenção 4.0
Face ao crescente processo da quarta revolução industrial de forma contínua
nos dias atuais, as grandes indústrias para se manterem competitivas e ativas
no mercado são obrigadas a inovar seu processo de manufatura industrial,
aperfeiçoando o processo de produção fabril por meio de novas tecnologias
interconectadas e autônomas.
No processo de manufatura de uma fábrica, a diversidade e a complexidade
de componentes vêm aumentando progressivamente com a evolução da
tecnologia, e com isso a deteção e análise de falhas torna-se cada vez mais
difícil de controlar na automação fabril, principalmente no meio de tanta
informação e volume de dados que é gerada atualmente por máquinas
interligadas em redes, sensores e a Internet.
Visto que a redução do tempo, o aumento da qualidade e a diminuição do
custo para fabricação de produtos industrializados são os maiores
catalisadores de uma empresa de sucesso para a Era atual chamada
Manutenção 4.0, esse trabalho propõe ilustrar um modelo de Arquitetura de
Sistemas de Informação onde, utilizando o Modelo de Sistemas Viáveis, seja
possível realizar ajustes de forma automática nos subsistemas relacionados
com sistemas Ciber-físicos e Sistemas de Execução de Fabricação
(comumente conhecidos como MES - Manufacturing Execution System) dentro
do modelo de Manufatura Digital e, adicionalmente, mitigar as falhas de
maquinas através de análises preditivas de volumes massivos de dados
utilizando algoritmos com funções inteligentes e Data Mining (DM), a fim de
estabilizar automaticamente toda a cadeia de sistemas de forma rápida e
eficaz.Face of the growing process of the fourth industrial revolution continuously
these days, the great industries to remain competitive and active in the market
are forced to innovate their industrial manufacturing process, perfecting the
manufacturing process through new interconnected and autonomous
technologies.
In the manufacturing process of a factory, the diversity and complexity of
components has been steadily increasing with the evolution of technology, and
thus the detection and analysis of failures becomes increasingly difficult to
control in factory automation, especially in the midst of so much information
and data volume which is currently generated by machines connected to
networks, sensors and the internet.
Since time reduction, quality enhancement and cost reduction for
manufacturing of industrial products are the major catalysts of a successful
company for the current Era called Maintenance 4.0, this paper proposes to
illustrate an Information Systems Architecture where, using the Viable
Systems Model, it is possible to perform automatic adjustments in the
subsystems related to Cyber-physical Systems and Manufacturing Execution
Systems (commonly known as MES) within the Digital Manufacturing model
and, in addition, to mitigate machine failures through of predictive analyzes of
massive volumes of data using algorithms with intelligent functions and Data
Mining (DM) in order to automatically stabilize the entire system chain quickly
and efficientl
Viable system architecture applied to maintenance 4.0
Câmara, R. A., Mamede, H. S., & Dos Santos, V. D. (2019). Viable system architecture applied to maintenance 4.0. In A. P. Abraham, J. Roth, & L. Rodrigues (Eds.), Multi Conference on Computer Science and Information Systems, MCCSIS 2019 - Proceedings of the International Conferences on Big Data Analytics, Data Mining and Computational Intelligence 2019 and Theory and Practice in Modern Computing 2019 (pp. 127-134). (Multi Conference on Computer Science and Information Systems, MCCSIS 2019 - Proceedings of the International Conferences on Big Data Analytics, Data Mining and Computational Intelligence 2019 and Theory and Practice in Modern Computing 2019). IADIS Press.Disruptive requirements that currently drive the so-called Industry 4.0 (I4.0) are increasingly present in today's industries, where factories are forced to innovate in search of improvement in the quality of manufacturing of products aligned with the reductions of: manufacturing time, environmental and cost impacts with the manufacturing process. For this, an Information Systems (IS) architecture is proposed to reduce the negative impacts on an industrial operation caused by manual configuration failures in manufacturing systems, machines that are worn out in the production process and unstable integrations between industrial subsystems. The suggested SI model uses the Viable Systems Model adapted to Maintenance 4.0 technologies (Cyber-physical Systems (CPS), Manufacturing Execution Systems (MES), Data Mining and Digital Manufacturing concepts/technologies) with the goal to create an automatic purchase flow to replace parts by mitigating impending failures in industrial equipment through data mining and predictive analysis.publishersversionpublishe
Dectin-1 Activation Exacerbates Obesity and Insulin Resistance in the Absence of MyD88
This work was supported by Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP, grant numbers 11/15682-4, 12/02270-2, 15/18121-4), Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq, Regenera INCT Process Grant 465656/2014-5). JL is funded by the NIH/NIDDK R01DK106210. GDB is funded by the Wellcome Trust and the MRC Centre for Medical Mycology. Open access journalPeer reviewedPublisher PD
Catálogo Taxonômico da Fauna do Brasil: setting the baseline knowledge on the animal diversity in Brazil
The limited temporal completeness and taxonomic accuracy of species lists, made available in a traditional manner in scientific publications, has always represented a problem. These lists are invariably limited to a few taxonomic groups and do not represent up-to-date knowledge of all species and classifications. In this context, the Brazilian megadiverse fauna is no exception, and the Catálogo Taxonômico da Fauna do Brasil (CTFB) (http://fauna.jbrj.gov.br/), made public in 2015, represents a database on biodiversity anchored on a list of valid and expertly recognized scientific names of animals in Brazil. The CTFB is updated in near real time by a team of more than 800 specialists. By January 1, 2024, the CTFB compiled 133,691 nominal species, with 125,138 that were considered valid. Most of the valid species were arthropods (82.3%, with more than 102,000 species) and chordates (7.69%, with over 11,000 species). These taxa were followed by a cluster composed of Mollusca (3,567 species), Platyhelminthes (2,292 species), Annelida (1,833 species), and Nematoda (1,447 species). All remaining groups had less than 1,000 species reported in Brazil, with Cnidaria (831 species), Porifera (628 species), Rotifera (606 species), and Bryozoa (520 species) representing those with more than 500 species. Analysis of the CTFB database can facilitate and direct efforts towards the discovery of new species in Brazil, but it is also fundamental in providing the best available list of valid nominal species to users, including those in science, health, conservation efforts, and any initiative involving animals. The importance of the CTFB is evidenced by the elevated number of citations in the scientific literature in diverse areas of biology, law, anthropology, education, forensic science, and veterinary science, among others
Seminário de Dissertação (2024)
Página da disciplina de Seminário de Dissertação (MPPP, UFPE, 2022)
Lista de participantes == https://docs.google.com/spreadsheets/d/1mrULe1y04yPxHUBaF50jhaM1OY8QYJ3zva4N4yvm198/edit#gid=
Bioenergia: desenvolvimento, pesquisa e inovação
Com 27 trabalhos produzidos por pesquisadores do Instituto de Pesquisa em Bioenergia (Bioen), da Unesp, este livro oferece uma ampla visão sobre as áreas que compõem o segmento. Seu principal objetivo é contribuir para melhorar a compreensão dos vários aspectos da bioenergia, em especial no Brasil, que figura entre os países com maior nível de desenvolvimento tecnológico no setor. Os artigos abordam uma série abrangente de questões relacionadas à bioenergia, como a construção genética das plantas de cana-de-açúcar visando ao aumento de produtividade, a disseminação de sementes para estimular a propagação de espécies com potencial energético, etapas de produção de bioenergia, usos do combustível e seus efeitos nos diversos tipos de motores. Agrupados por assunto, os textos estão distribuídos em cinco partes: Biomassa para bioenergia; Produção de biocombustíveis; Utilização de bioenergia; Biorrefinaria, alcoolquímica e oleoquímica e Sustentabilidade dos biocombustíveis