Zobrazeno 1 - 10
of 24
pro vyhledávání: '"János, JÓSVAI"'
Publikováno v:
Sensors, Vol 24, Iss 10, p 3182 (2024)
Payloads for light unmanned free balloons must meet several safety requirements such as being able to protect the inner electronics in order to extract scientific data and to reduce the chance of inflicting personal injury in case of an accidental fa
Externí odkaz:
https://doaj.org/article/ca7f560e1d5d4c46b9bccb0ba2ecf507
Autor:
Péter, DOBRA, János, JÓSVAI
Publikováno v:
Journal of Mechanical Engineering (2450-5471); Nov2024, Vol. 74 Issue 2, p57-64, 8p
Autor:
Péter Dobra, János Jósvai
Publikováno v:
Big Data and Cognitive Computing, Vol 7, Iss 3, p 138 (2023)
Nowadays, one of the important and indispensable conditions for the effectiveness and competitiveness of industrial companies is the high efficiency of manufacturing and assembly. These enterprises based on different methods and tools systematically
Externí odkaz:
https://doaj.org/article/bb0d9b05a9e844d39379ce23d7a99b1f
Autor:
Peter Dobra, János Jósvai
Publikováno v:
Acta Technica Jaurinensis, Vol 14, Iss 1, Pp 24-35 (2021)
Manufacturing companies continuously evaluate their achieved performance based on different Key Performance Indicators (KPI). This article gives an overview about the OEE values. The study aims to provide practical OEE data of semi-automatic assembly
Externí odkaz:
https://doaj.org/article/b0ab37f692a84086bf7e2c174137a2d0
Autor:
Norbert Hegyi, János Jósvai
Publikováno v:
Acta Technica Jaurinensis, Vol 13, Iss 4, Pp 295-308 (2020)
The article deals with the presentation and analysis of hazardous situations, damage events and accidents caused by light and medium unmanned free balloons and the parts of them. During the flights of these balloons, emergencies, hazardous situations
Externí odkaz:
https://doaj.org/article/ade1342f38ad496ca88a31fe9c5dce28
Autor:
Peter Dobra, János Jósvai
Publikováno v:
Acta Technica Jaurinensis, Vol 13, Iss 2, Pp 99-111 (2020)
The industrial companies often use Key Performance Indicators (KPI) to follow up and evaluate their process and success. One of the KPIs is the Overall Equipment Effectiveness (OEE) which represents the efficiency of the manufacturing area. The high
Externí odkaz:
https://doaj.org/article/0985fe370e594ca780dcf4bedaa95d17
Autor:
Norbert Hegyi, János Jósvai
Publikováno v:
Acta Technica Jaurinensis, Vol 12, Iss 4, Pp 321-334 (2019)
This paper describes and inspects unmanned aerial vehicle, unmanned aircraft system, unmanned aircraft system traffic management, light and medium unmanned free balloons. It presents future safety developments and goals of the European Union’s own
Externí odkaz:
https://doaj.org/article/4e28f0c5009e494a90533dd5c34a4f07
Autor:
Cristina Rosaria Monsone, János Jósvai
Publikováno v:
Acta Technica Jaurinensis, Vol 12, Iss 3, Pp 252-267 (2019)
Today’s manufacturing and assembly systems have to be flexible to adapt quickly to an increasing number and variety of products. The Industry 4.0 conceptualization has several potentials, i.e. flexibility in business and manufacturing processes, wh
Externí odkaz:
https://doaj.org/article/9a9f1c9d33b341f1acd9655cef145e58
Autor:
Péter Dobra, János Jósvai
Publikováno v:
Journal of Manufacturing and Materials Processing, Vol 6, Iss 3, p 59 (2022)
Nowadays, in the domain of production logistics, one of the most complex planning processes is the accurate forecasting of production and assembly efficiency. In industrial companies, Overall Equipment Effectiveness (OEE) is one of the most common us
Externí odkaz:
https://doaj.org/article/4d9f61f6f3d9452caaf6e38c18335a6d
Autor:
Péter Dobra, János Jósvai
Publikováno v:
Periodica Polytechnica Mechanical Engineering. 67:81-86
Nowadays, Industry 4.0 and the Smart Manufacturing environment are increasingly taking advantage of Artificial Intelligence. There are more and more sensors, cameras, vision systems and barcodes in the production area, as a result of which the volume
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e31352dcb78ab5b19e7fbed9ef65f05d
https://doi.org/10.3311/ppme.21320
https://doi.org/10.3311/ppme.21320