Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Björn Andres"'
Autor:
Arman Fathollahi, Björn Andresen
Publikováno v:
e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 9, Iss , Pp 100675- (2024)
This paper focuses on the challenges posed by the time-variable and nonlinear nature of energy systems. In this systems set points fluctuate due to load variations, generator losses, and disturbances such as short circuit faults. Maintaining power sy
Externí odkaz:
https://doaj.org/article/befe18d6266b4053aa254fd738b145b6
Autor:
Arman Fathollahi, Bjorn Andresen
Publikováno v:
IEEE Access, Vol 12, Pp 100316-100327 (2024)
This paper introduces the Adaptive Coordinated Fixed-Time Synergetic Controller (ACFSC) designed for the Thyristor Controlled Series Capacitor (TCSC) and the generator excitation system. The primary objective is to enhance power system transient stab
Externí odkaz:
https://doaj.org/article/d2444213296540f9946886b07ba08d74
Publikováno v:
IEEE Access, Vol 12, Pp 25949-25966 (2024)
The rapid expansion of wind power needs increased efforts in establishing rules for connecting wind power plants (WPPs) through grid codes and standards. This makes grid compliance testing and model validation more complex for wind turbine generator
Externí odkaz:
https://doaj.org/article/55280167afc648b7b822a3b9d648bfd6
This book constitutes the refereed proceedings of the 44th DAGM German Conference on Pattern Recognition, DAGM GCPR 2022, which was held during September 27 – 30, 2022.The 37 papers presented in this volume were carefully reviewed and selected fro
Autor:
Arman Fathollahi, Björn Andresen
Publikováno v:
Fractal and Fractional, Vol 8, Iss 7, p 419 (2024)
The effective operation of model-based control strategies in modern energy systems, characterized by significant complexity, is contingent upon highly accurate large-scale models. However, achieving such precision becomes challenging in complex energ
Externí odkaz:
https://doaj.org/article/ca358e3c97f64756a16537a8a53d46e4
Autor:
Bodo Rosenhahn, Bjoern Andres
This book constitutes the refereed proceedings of the 38th German Conference on Pattern Recognition, GCPR 2016, held in Hannover, Germany, in September 2016. The 36 revised full papers presented were carefully reviewed and selected from 85 submission
Autor:
Arman Fathollahi, Björn Andresen
Publikováno v:
Fractal and Fractional, Vol 7, Iss 11, p 808 (2023)
Given the intricate nature of contemporary energy systems, addressing the control and stability analysis of these systems necessitates the consideration of highly large-scale models. Transient stability analysis stands as a crucial challenge in enhan
Externí odkaz:
https://doaj.org/article/28e7fb5300f848bfa7c612068accf341
Autor:
Hanspeter Pfister, Jürgen Schmidhuber, Matthew Cook, Dan Ciresan, Jan Funke, Luca Maria Gambardella, Albert Cardona, Julien N. P. Martel, Alessandro Giusti, Björn Andres, Stephan Gerhard
Publikováno v:
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014 ISBN: 9783319104034
MICCAI (1)
MICCAI (1)
The automatic reconstruction of neurons from stacks of electron microscopy sections is an important computer vision problem in neuroscience. Recent advances are based on a two step approach: First, a set of possible 2D neuron candidates is generated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2de0d0f9c7c85eb08a83216e9eff322
https://doi.org/10.1007/978-3-319-10404-1_3
https://doi.org/10.1007/978-3-319-10404-1_3
Publikováno v:
Applications of Discrete Geometry and Mathematical Morphology ISBN: 9783642323126
WADGMM
WADGMM
We present a complete pipeline for the segmentation of 3-dimensional electron microscopy data. Efficient algorithms and parallelization have been developed to make the system applicable to data as large as eight gigavoxels. Discrete geometry plays a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ebc68e08e9c3b139c80a77ff976992e
https://doi.org/10.1007/978-3-642-32313-3_7
https://doi.org/10.1007/978-3-642-32313-3_7
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642230936
EMMCVPR
EMMCVPR
We introduce an approach to both image labeling and unsupervised image partitioning as different instances of the multicut problem, together with an algorithm returning globally optimal solutions. For image labeling, the approach provides a valid alt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95fd365a5224e3e36c5a492e15ccad9f
https://doi.org/10.1007/978-3-642-23094-3_3
https://doi.org/10.1007/978-3-642-23094-3_3