@inproceedings{ZugNiemuellerHochgeschwenderetal.2017, author = {Zug, Sebastian and Niemueller, Tim and Hochgeschwender, Nico and Seidensticker, Kai and Seidel, Martin and Friedrich, Tim and Neumann, Tobias and Karras, Ulrich and Kraetzschmar, Gerhard K. and Ferrein, Alexander}, title = {An Integration Challenge to Bridge the Gap Among Industry-Inspired RoboCup Leagues}, series = {RoboCup 2016: Robot World Cup XX. RoboCup 2016.}, booktitle = {RoboCup 2016: Robot World Cup XX. RoboCup 2016.}, publisher = {Springer}, address = {Cham}, isbn = {978-3-319-68792-6}, doi = {10.1007/978-3-319-68792-6_13}, pages = {157 -- 168}, year = {2017}, language = {en} } @article{HartungKumwilaisak2004, author = {Hartung, Frank and Kumwilaisak, W.}, title = {An intraframe error concealment: nonlinear pattern alignment and directional interpolation / Kumwilaisak, W. ; Hartung, F.}, series = {Conference on Image Processing, 2004. ICIP '04. 2004 International / Vol. 2 .}, journal = {Conference on Image Processing, 2004. ICIP '04. 2004 International / Vol. 2 .}, pages = {825 -- 828}, year = {2004}, language = {en} } @inproceedings{AlhwarinSchifferFerreinetal.2019, author = {Alhwarin, Faraj and Schiffer, Stefan and Ferrein, Alexander and Scholl, Ingrid}, title = {An Optimized Method for 3D Body Scanning Applications Based on KinectFusion}, series = {Communications in Computer and Information Science}, volume = {1024}, booktitle = {Communications in Computer and Information Science}, publisher = {Springer}, issn = {1865-0929}, doi = {10.1007/978-3-030-29196-9_6}, pages = {100 -- 113}, year = {2019}, language = {en} } @inproceedings{HeuermannSadeghfam2016, author = {Heuermann, Holger and Sadeghfam, Arash}, title = {Analog Amplitude-Locked Loop Circuit to Support RF Energy Solutions}, series = {IEEE MTT-S International Microwave Symposium Digest}, booktitle = {IEEE MTT-S International Microwave Symposium Digest}, isbn = {978-150900698-4}, doi = {10.1109/MWSYM.2016.7540092}, pages = {4 Seiten}, year = {2016}, language = {de} } @incollection{Alt1983, author = {Alt, Helmut}, title = {Analog anzeigende Digitaluhr}, series = {FH-Texte ; 36 : Berichte aus dem Fachbereich Elektrotechnik Aachen}, booktitle = {FH-Texte ; 36 : Berichte aus dem Fachbereich Elektrotechnik Aachen}, publisher = {Fachhochschule Aachen}, address = {Aachen}, pages = {98 -- 104}, year = {1983}, language = {de} } @article{Schuba1999, author = {Schuba, Marko}, title = {Analyse der Antwortzeit von zuverl{\"a}ssigen Multicast-Protokollen im Internet}, series = {Multicast - Protokolle und Anwendungen : 20. - 21. Mai 1999, Braunschweig; 1. GI-Workshop / [Workshop-Leitung: Martina Zitterbart ...]}, journal = {Multicast - Protokolle und Anwendungen : 20. - 21. Mai 1999, Braunschweig; 1. GI-Workshop / [Workshop-Leitung: Martina Zitterbart ...]}, address = {Braunschweig}, pages = {1 -- 14}, year = {1999}, language = {en} } @book{Wosnitza2003, author = {Wosnitza, Franz}, title = {Analyse station{\"a}rer, linearer Str{\"o}mungsfelder und Gleichstrom-Netzwerke}, publisher = {Mainz}, address = {Aachen}, isbn = {3-86073-546-2}, pages = {208 S. : zahlr. graph. Darst.}, year = {2003}, language = {de} } @article{OrzadaBitzJohstetal.2017, author = {Orzada, Stephan and Bitz, Andreas and Johst, S{\"o}ren and Gratz, Marcel and V{\"o}lker, Maximilian N. and Kraff, Oliver and Abuelhaija, Ashraf and Fiedler, Thomas M. and Solbach, Klaus and Quick, Harald H. and Ladd, Mark E.}, title = {Analysis of an integrated 8-Channel Tx/Rx body array for use as a body coil in 7-Tesla MRI}, series = {Frontiers in Physics}, volume = {5}, journal = {Frontiers in Physics}, number = {Jun}, issn = {2296-424X}, doi = {10.3389/fphy.2017.00017}, year = {2017}, language = {en} } @inproceedings{DinghoferHartung2020, author = {Dinghofer, Kai and Hartung, Frank}, title = {Analysis of Criteria for the Selection of Machine Learning Frameworks}, series = {2020 International Conference on Computing, Networking and Communications (ICNC)}, booktitle = {2020 International Conference on Computing, Networking and Communications (ICNC)}, publisher = {IEEE}, address = {New York, NY}, doi = {10.1109/ICNC47757.2020.9049650}, pages = {373 -- 377}, year = {2020}, abstract = {With the many achievements of Machine Learning in the past years, it is likely that the sub-area of Deep Learning will continue to deliver major technological breakthroughs [1]. In order to achieve best results, it is important to know the various different Deep Learning frameworks and their respective properties. This paper provides a comparative overview of some of the most popular frameworks. First, the comparison methods and criteria are introduced and described with a focus on computer vision applications: Features and Uses are examined by evaluating papers and articles, Adoption and Popularity is determined by analyzing a data science study. Then, the frameworks TensorFlow, Keras, PyTorch and Caffe are compared based on the previously described criteria to highlight properties and differences. Advantages and disadvantages are compared, enabling researchers and developers to choose a framework according to their specific needs.}, language = {en} } @article{Schuba1999, author = {Schuba, Marko}, title = {Analysis of Feedback Error Control Schemes for Block Based Video Communication / Meggers, Jens ; Schuba, Marko}, year = {1999}, language = {en} }