scholarly journals AFIS Doctoral Symposium: New Challenges and Advances in Systems Engineering at French Universities

Insight ◽  
2019 ◽  
Vol 22 (4) ◽  
pp. 7-8
Author(s):  
David Gouyon ◽  
Hervé Panetto
Author(s):  
Wojciech Skarka ◽  
Katarzyna Jezierska-Krupa ◽  
Ryszard Skoberla

Insight ◽  
2021 ◽  
Vol 24 (4) ◽  
pp. 7-8
Author(s):  
David Gouyon ◽  
Hervé Panetto

2016 ◽  
Vol 64 (7) ◽  
Author(s):  
Christian Bauer ◽  
Zaigham-Faraz Siddiqui ◽  
Manuel Beuttler ◽  
Klaus Bauer

AbstractWith the increasing connectivity of devices, the amount of data that is recorded and ready for analysis is growing correspondingly. This is also the case for shop floors in flexible sheet metal handling and production. With the growing need for flexibility in production, the availability of machine tools is imminent. This paper shows different approaches that a classical manufacturing systems company such as TRUMPF takes in applying data mining techniques to address the new challenges which come with the Internet of things. In addition to classical methods, a new approach is introduced that does not need any alteration of the machine or its interfaces.


2015 ◽  
Vol 76 (4) ◽  
Author(s):  
Martin Rabe ◽  
Harald Anacker ◽  
Thorsten Westermann ◽  
Roman Dumitrescu

The machinery and plant engineering sector is faced with new challenges due to the shift to intelligent technical systems and the need to integrate intelligence into machines. In addition, machinery and plant engineering means customized orders which result in engineering-to-order products and a different development process comparing to serial production. The present contribution shows the potential of model-based systems engineering during the whole developments process from the acquisition to distribution and start-up.


Author(s):  
Kristiina Söderholm ◽  
Ben Amaba ◽  
Ville Lestinen

Recently, Small Modular Reactors (SMRs) have attracted increased public discussion. While large nuclear power plant new build projects are facing challenges, the focus of attention is turning to small modular reactors. This paper is based on the PhD Dissertation “Licensing Model Development for Small Modular Reactors (SMRs) - Focusing on Finnsh Regulatory Framework”, approved in 2013. The result of the study is a recommendation for a new, optimized licensing process for SMRs. The most important SMR-specific feature, in terms of licensing, is the modularity of the design. Here the modularity indicates multi-module SMR designs, which creates new challenges in the licensing process. The application of the new licensing process is developed using Systems Engineering, Requirements Management, and Project Management practices and tools.


2018 ◽  
Vol 11 (25) ◽  
pp. 1215-1226
Author(s):  
Maira Bastidas ◽  
Raul J. Martelo ◽  
Diofanor Acevedo

2020 ◽  
Vol 43 ◽  
Author(s):  
Valerie F. Reyna ◽  
David A. Broniatowski

Abstract Gilead et al. offer a thoughtful and much-needed treatment of abstraction. However, it fails to build on an extensive literature on abstraction, representational diversity, neurocognition, and psychopathology that provides important constraints and alternative evidence-based conceptions. We draw on conceptions in software engineering, socio-technical systems engineering, and a neurocognitive theory with abstract representations of gist at its core, fuzzy-trace theory.


Author(s):  
Joachim Frank

Compared with images of negatively stained single particle specimens, those obtained by cryo-electron microscopy have the following new features: (a) higher “signal” variability due to a higher variability of particle orientation; (b) reduced signal/noise ratio (S/N); (c) virtual absence of low-spatial-frequency information related to elastic scattering, due to the properties of the phase contrast transfer function (PCTF); and (d) reduced resolution due to the efforts of the microscopist to boost the PCTF at low spatial frequencies, in his attempt to obtain recognizable particle images.


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