Publikationen


Suche nach „[C.] [Gruber]“ hat 16 Publikationen gefunden
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    NachhaltigF: Angewandte InformatikS: TC Freyung

    Zeitschriftenartikel

    J. Schmidt, K. Gruber, M. Klingler, C. Klöckl, Luis Ramirez Camargo, P. Regner, O. Turkovska, S. Wehrle, E. Wetterlund

    A new perspective on global renewable energy systems: why trade in energy carriers matters

    Energy & Environmental Science, vol. 12, no. 7, pp. 2022-2029

    2019

    DOI: 10.1039/C9EE00223E

    Abstract anzeigen

    Recent global modelling studies suggest a decline of long-distance trade in energy carriers in future global renewable energy systems, compared to today's fossil fuel based system. In contrast, we identify four drivers that facilitate trade of renewable energy carriers. These drivers may lead to trade volumes remaining at current levels or even to an increase during the transition to an energy system with very high shares of renewables. First, new land-efficient technologies for renewable fuel production become increasingly available and technically allow for long-distance trade in renewables. Second, regional differences in social acceptance and land availability for energy infrastructure support the development of renewable fuel import and export streams. Third, the economics of renewable energy systems, i.e. the different production conditions globally and the high costs of fully renewable regional electricity systems, will create opportunities for spatial arbitrage. Fourth, a reduction of stranded investments in the fossil fuel sector is possible by switching from fossil fuels to renewable fuel trade. The impact of these drivers on trade in renewable energy carriers is currently under-investigated by the global energy systems research community. The importance of the topic, in particular as trade can redistribute profits and losses of decarbonization and may hence support finding new partners in climate change mitigation negotiations, warrants further research efforts in this area therefore.

    NachhaltigF: Angewandte Naturwissenschaften und WirtschaftsingenieurwesenS: TC Teisnach Sensorik

    Patent

    R. Berger, H. Gruber, W. Lehnert, Günther Ruhl, R. Foerg, A. Mauder, H.-J. Schulze, M. Sommer, C. Rottmair, R. Rupp

    Method for manufacturing a composite wafer having a graphite core, and composite wafer having a graphite core

    2017

    GesundF: Angewandte Gesundheitswissenschaften

    Zeitschriftenartikel

    J. Pfirstinger, Bernhard Bleyer, C. Blum, M. Rechenmacher, C. Wiese, H. Gruber

    Determinants of completion of advance directives: a cross-sectional comparison of 649 outpatients from private practices versus 2158 outpatients from a university clinic

    British Medical Journal Open (BMJ Open), vol. 7, no. 12, pp. 1-9

    2017

    NachhaltigF: Angewandte Naturwissenschaften und WirtschaftsingenieurwesenS: TC Teisnach Sensorik

    Patent

    R. Berger, H. Gruber, W. Lehnert, Günther Ruhl, R. Foerg, A. Mauder, H.-J. Schulze, M. Sommer, C. Rottmair, R. Rupp

    Method for manufacturing a composite wafer having a graphite core, and composite wafer having a graphite core

    2015

    NachhaltigF: Angewandte Naturwissenschaften und WirtschaftsingenieurwesenS: TC Teisnach Sensorik

    Patent

    R. Berger, H. Gruber, W. Lehnert, Günther Ruhl, R. Foerg, A. Mauder, H.-J. Schulze, M. Sommer, C. Rottmair, R. Rupp

    Method for manufacturing a composite wafer having a graphite core, and composite wafer having a graphite core

    2014

    F: Maschinenbau und Mechatronik

    Zeitschriftenartikel

    C. Gruber, T. Gruber, S. Krinninger, Bernhard Sick

    On-Line Signature Verification with Support Vector Machines Based on LCSS Kernel Functions

    IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, vol. 40, no. 4, pp. 1088-1110

    2010

    DOI: 10.1109/TSMCB.2009.2034382

    Abstract anzeigen

    In this paper, a new technique for online signature verification or identification is proposed. The technique integrates a longest common subsequences (LCSS) detection algorithm which measures the similarity of signature time series into a kernel function for support vector machines (SVM). LCSS offers the possibility to consider the local variability of signals such as the time series of pen-tip coordinates on a graphic tablet, forces on a pen, or inclination angles of a pen measured during a signing process. Consequently, the similarity of two signature time series can be determined in a more reliable way than with other measures. A proprietary database with signatures of 153 test persons and the SVC 2004 benchmark database are used to show the properties of the new SVM-LCSS. We investigate its parameterization and compare it to SVM with other kernel functions such as dynamic time warping (DTW). Our experiments show that SVM with the LCSS kernel authenticate persons very reliably and with a performance which is significantly better than that of the best comparing technique, SVM with DTW kernel.

    F: Maschinenbau und Mechatronik

    Zeitschriftenartikel

    E. Fuchs, C. Gruber, T. Reitmaier, Bernhard Sick

    Processing Short-Term and Long-Term Information With a Combination of Polynomial Approximation Techniques and Time-Delay Neural Networks

    IEEE Transactions on Neural Networks, vol. 20, no. 9, pp. 1450-1462

    2009

    Abstract anzeigen

    Neural networks are often used to process temporal information, i.e., any kind of information related to time series. In many cases, time series contain short-term and long-term trends or behavior. This paper presents a new approach to capture temporal information with various reference periods simultaneously. A least squares approximation of the time series with orthogonal polynomials will be used to describe short-term trends contained in a signal (average, increase, curvature, etc.). Long-term behavior will be modeled with the tapped delay lines of a time-delay neural network (TDNN). This network takes the coefficients of the orthogonal expansion of the approximating polynomial as inputs such considering short-term and long-term information efficiently. The advantages of the method will be demonstrated by means of artificial data and two real-world application examples, the prediction of the user number in a computer network and online tool wear classification in turning.

    F: Maschinenbau und Mechatronik

    Beitrag (Sammelband oder Tagungsband)

    M. Dose, C. Gruber, A. Grunz, C. Hook, J. Kempf, G. Scharfenber, Bernhard Sick

    Towards an Automated Analysis of Neuroleptics’ Impact on Human Hand Motor Skills

    Proceedings of the IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB 2007); Honolulu, HI, USA; 01.-05.04.2007

    2007

    F: Maschinenbau und Mechatronik

    Beitrag (Sammelband oder Tagungsband)

    C. Gruber, Bernhard Sick

    A Comparison of Biometric Writing Systems for the Analysis of Human Fine Motor Skills

    SMCia, 07, Berlin; Offenbach

    2007

    ISBN: 978-3800730469

    F: Maschinenbau und Mechatronik

    Beitrag (Sammelband oder Tagungsband)

    C. Gruber, M. Coduro, Bernhard Sick

    Signature Verication with Dynamic RBF Networks and Time Series Motifs

    Proceedings of the 10th International Workshop on Frontiers in Handwriting Recognition (IWFHR); La Baule, Frankreich; 23.-26.10.2006

    2006

    F: Maschinenbau und Mechatronik

    Beitrag (Sammelband oder Tagungsband)

    J. Hofer, C. Gruber, Bernhard Sick

    Biometric Analysis of Handwriting Dynamics Using a Script Generator Model

    IEEE Mountain Workshop on Adaptive and Learning Systems (SMCals/06); Logan, UT, USA; 24.-26.07.2006

    2006

    F: Maschinenbau und Mechatronik

    Beitrag (Sammelband oder Tagungsband)

    C. Gruber, C. Hook, J. Kempf, G. Scharfenber, Bernhard Sick

    A Flexible Architecture for Online Signature Verication Based on a Novel Biometric Pen

    IEEE Mountain Workshop on Adaptive and Learning Systems (SMCals/06); Logan, UT, USA; 24.-26.07.2006

    2006

    F: Maschinenbau und Mechatronik

    Beitrag (Sammelband oder Tagungsband)

    T. Gruber, C. Gruber, Bernhard Sick

    Online Signature Verification With New Time Series Kernels for Support Vector Machines

    Advances in biometrics, Berlin; New York, vol. 3832

    2006

    ISBN: 978-3540311119

    F: Maschinenbau und Mechatronik

    Beitrag (Sammelband oder Tagungsband)

    F. Bajramovic, C. Gruber, Bernhard Sick

    A Comparison of First- and Second-Order Training Algorithms for Dynamic Neural Networks

    Proceedings of the International Joint Conference on Neural Networks (IJCNN 2004); Budpest, Ungarn; 25.-29.07.2004

    2004

    F: Maschinenbau und Mechatronik

    Beitrag (Sammelband oder Tagungsband)

    C. Gruber, Bernhard Sick

    Fast and Efficient Second-Order Training of the Dynamic Neural Network Paradigm

    Proceedings of the IEEE-INNS International Joint Conference on Neural Networks (IJCNN 2003); Volume 4; Portland, OR, USA; 20.-24.07.2003

    2003

    F: Maschinenbau und Mechatronik

    Beitrag (Sammelband oder Tagungsband)

    C. Gruber, Bernhard Sick

    Processing Short-Term and Long-Term Information With a Combination of Hard- and Soft-Computing Techniques

    Special track on "Fusion of Soft Computing and Hard Computing"

    2003 International Conference on Systems, Man and Cybernetics, Washington, DC, USA; 05.-08.10.2003, Piscataway; Piscataway

    2003

    ISBN: 0-7803-7952-7