TY - CONF AB - A combination of GPS (global positioning system) and INS (inertial navigation system) is known to provide high precision and highly robust vehicle localization. Notably during times when the GPS signal has a poor quality, e.g. due to the lack of a sufficiently large number of visible satellites, the INS, which may consist of a gyroscope and an odometer, will lead to improved positioning accuracy. In this paper we show how velocity information obtained from GSM (global system for mobile communications) signalling, rather than from a tachometer, can be used together with a gyroscope sensor to support localization in the presence of temporarily unavailable GPS data. We propose a sensor fusion system architecture and present simulation results that show the effectiveness of this approach. AU - Peschke, Sven AU - Bevermeier, Maik AU - Haeb-Umbach, Reinhold ID - 11881 KW - cellular radio KW - distance measurement KW - global positioning system KW - Global Positioning System KW - global system for mobile communications KW - GPS positioning approach KW - GSM velocity KW - gyroscopes KW - gyroscope sensor KW - inertial navigation KW - inertial navigation system KW - odometer KW - sensor fusion system architecture KW - sensors T2 - 6th Workshop on Positioning Navigation and Communication (WPNC 2009) TI - A GPS positioning approach exploiting GSM velocity estimates ER - TY - CONF AU - Peschke, Sven AU - Bevermeier, Maik AU - Haeb-Umbach, Reinhold ID - 11882 T2 - DGON Navigationskonvent 2009 TI - Verbesserung von GPS-basierter Ortung durch GSM-Geschwindigkeitsschaetzungen ER - TY - JOUR AB - In automatic speech recognition, hidden Markov models (HMMs) are commonly used for speech decoding, while switching linear dynamic models (SLDMs) can be employed for a preceding model-based speech feature enhancement. In this paper, these model types are combined in order to obtain a novel iterative speech feature enhancement and recognition architecture. It is shown that speech feature enhancement with SLDMs can be improved by feeding back information from the HMM to the enhancement stage. Two different feedback structures are derived. In the first, the posteriors of the HMM states are used to control the model probabilities of the SLDMs, while in the second they are employed to directly influence the estimate of the speech feature distribution. Both approaches lead to improvements in recognition accuracy both on the AURORA2 and AURORA4 databases compared to non-iterative speech feature enhancement with SLDMs. It is also shown that a combination with uncertainty decoding further enhances performance. AU - Windmann, Stefan AU - Haeb-Umbach, Reinhold ID - 11937 IS - 5 JF - IEEE Transactions on Audio, Speech, and Language Processing KW - AURORA2 databases KW - AURORA4 databases KW - automatic speech recognition KW - feedback structures KW - hidden Markov models KW - HMM KW - iterative methods KW - iterative speech feature enhancement KW - model probabilities KW - speech decoding KW - speech enhancement KW - speech feature distribution KW - speech recognition KW - switching linear dynamic models TI - Approaches to Iterative Speech Feature Enhancement and Recognition VL - 17 ER - TY - JOUR AB - In this paper, parameter estimation of a state-space model of noise or noisy speech cepstra is investigated. A blockwise EM algorithm is derived for the estimation of the state and observation noise covariance from noise-only input data. It is supposed to be used during the offline training mode of a speech recognizer. Further a sequential online EM algorithm is developed to adapt the observation noise covariance on noisy speech cepstra at its input. The estimated parameters are then used in model-based speech feature enhancement for noise-robust automatic speech recognition. Experiments on the AURORA4 database lead to improved recognition results with a linear state model compared to the assumption of stationary noise. AU - Windmann, Stefan AU - Haeb-Umbach, Reinhold ID - 11938 IS - 8 JF - IEEE Transactions on Audio, Speech, and Language Processing KW - AURORA4 database KW - blockwise EM algorithm KW - covariance analysis KW - linear state model KW - noise covariance KW - noise-robust automatic speech recognition KW - noisy speech cepstra KW - offline training mode KW - parameter estimation KW - speech recognition KW - speech recognition equipment KW - speech recognizer KW - state-space methods KW - state-space model TI - Parameter Estimation of a State-Space Model of Noise for Robust Speech Recognition VL - 17 ER - TY - JOUR AU - Sommer, Christoph AU - Dietrich, Isabel AU - Dressler, Falko ID - 12060 JF - Mobile Networks and Applications SN - 1383-469X TI - Simulation of Ad Hoc Routing Protocols using OMNeT++ ER - TY - JOUR AU - Börstler, Jürgen AU - S. Hall, Mark AU - Nordström, Marie AU - H. Paterson, James AU - Sanders, Kate AU - Schulte, Carsten AU - Thomas, Lynda ID - 15680 IS - 4 JF - SIGCSE Bulletin TI - An evaluation of object oriented example programs in introductory programming textbooks VL - 41 ER - TY - CONF AU - Schulte, Carsten AU - Tolksdorf, Robert ID - 15681 T2 - DeLFI Workshops TI - Qualitätssicherung in einer interaktiven und lerneraktivierenden E-Learning-Umgebung ER - TY - CONF AU - Ehlert, Albrecht AU - Schulte, Carsten ID - 15682 T2 - ICER TI - Empirical comparison of objects-first and objects-later ER - TY - CONF AU - Brinda, Torsten AU - Puhlmann, Hermann AU - Schulte, Carsten ID - 15683 T2 - ITiCSE TI - Bridging ICT and CS: educational standards for computer science in lower secondary education ER - TY - CONF AU - Ehlert, Albrecht AU - Schulte, Carsten ID - 15684 T2 - INFOS TI - Unterschiede im Lernerfolg von Schülerinnen und Sch\üern in Abhängigkeit von der zeitlichen Reihenfolge der Themen (OOP-First bzw. OOP-Later) VL - P-156 ER - TY - CONF AU - Koubek, Jochen AU - Schulte, Carsten AU - Schulze, Peter AU - Witten, Helmut ID - 15685 T2 - INFOS TI - Informatik im Kontext (IniK) - Ein integratives Unterrichtskonzept für den Informatikunterricht VL - P-156 ER - TY - CONF AU - Schulte, Carsten ID - 15686 T2 - INFOS TI - Dualitätsrekonstruktion als Hilfsmittel zur Entwicklung und Planung von Informatikunterricht VL - P-156 ER - TY - CONF AU - Cheng, W. AU - Hüllermeier, Eyke ID - 15773 T2 - In Proceedings MLD-2009 1st International Workshop on Learning from Multi-Label Data, Bled, Slovenia TI - A simple instance-based approach to multilabel classification using the Mallows model ER - TY - CONF AU - Senge, Robin AU - Hüllermeier, Eyke ED - Hoffmann, F. ED - Hüllermeier, Eyke ID - 15774 T2 - in Proceedings 19th Workshop Computational Intelligence, Dortmund Germany TI - Learning pattern tree classifiers using a co-evolutionary algorithm ER - TY - CONF AU - Fober, T. AU - Mernberger, M. AU - Moritz, R. AU - Hüllermeier, Eyke ED - Grosse, I. ED - Neumann, S. ED - Posch, S. ED - Schreiber, F. ED - Stadler, P.. ID - 15775 T2 - In Proceedings GCB-2009 German Conference on Bioinformatics Halle (Saale), Germany TI - Graph-kernels for the comparative analysis of protein active sites ER - TY - CONF AU - Senge, Robin AU - Hüllermeier, Eyke ID - 15776 T2 - In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Darmstadt, Germany TI - Learning pattern tree classifiers using a co-evolutionary algorithm ER - TY - CONF AU - Fober, T. AU - Mernberger, M. AU - Melnikov, Vitaly AU - Moritz, R. AU - Hüllermeier, Eyke ID - 15778 T2 - In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Darmstadt, Germany TI - Extension and empirical comparison of graph-kernels for the analysis of protein active sites ER - TY - JOUR AU - Kwong, N. H. AU - Schumacher, Stefan AU - Binder, R. ID - 15847 JF - Physical Review Letters SN - 0031-9007 TI - Electron-Spin Beat Susceptibility of Excitons in Semiconductor Quantum Wells ER - TY - GEN AU - Dahle, Claudia AU - Bäumer, Michaela ID - 14916 TI - Cross-Border Group-Taxation and Loss-Offset in the EU - An Analysis for CCCTB (Common Consolidated Corporate Tax Base) and ETAS (European Tax Allocation System) VL - 66 ER - TY - JOUR AU - Halberstadt, Alexander AU - Sureth-Sloane, Caren AU - Voß, Armin ID - 14917 IS - 6 JF - Die Wirtschaftsprüfung TI - Der Einfluss der Abgeltungssteuer auf die Vorteilhaftigkeit von Anlagen in Genussscheine und Aktien VL - 62 ER - TY - GEN AU - Niemann, Rainer AU - Sureth-Sloane, Caren ID - 14920 TI - Investment Effects of Capital Gains Taxation under Simultaneous Investment and Abandonment Flexibility VL - 77 ER - TY - GEN AU - Nordhoff, Daniel ID - 14921 TI - Umsatzsteuerausfall und Umsatzsteuerbetrug - Eine steuerökonomische Analyse der Umsatzsteuerdeklaration ER - TY - JOUR AU - Nordhoff, Daniel AU - Popp, Matthias ID - 14922 IS - 9 JF - Niedersächsische Wirtschaft TI - Strukturprobleme angehen ER - TY - GEN AU - Sureth-Sloane, Caren AU - Vollert, Pia ID - 14924 TI - Verschärfung der Verlustabzugsbeschränkung durch § 8c KStG und deren Einfluss auf den Erwerb von Anteilen an Kapitalgesellschaften VL - 91 ER - TY - CHAP AU - Niemann, Rainer AU - Sureth-Sloane, Caren ED - Kiesewetter, Dirk ED - Niemann, Rainer ID - 14946 T2 - Festzeitschrift für Franz W. Wagner: Accounting, Taxation, and Corporate Governance TI - Investment Effects of Capital Gains Taxation under Simultaneous Investment and Abandonment Flexibility ER - TY - JOUR AU - Böttcher, Stefan AU - Hartel, Rita ID - 15076 IS - 1 JF - Journal of Computer Security SN - 1875-8924 TI - Information disclosure by answers to XPath queries VL - 17 ER - TY - CONF AU - Fober, T. AU - Klebe, G. AU - Hüllermeier, Eyke ID - 15120 T2 - in Proceedings ISDA-2009, 9th international Conference on Intelligent Systems Design and Applications, Pisa, Italy TI - Efficient construction of multiple geometrical alignments for the comparison of protein binding sites ER - TY - CONF AU - Böttcher, Stefan AU - Hartel, Rita ID - 15138 T2 - Database Technologies 2009, Twentieth Australasian Database Conference, ADC 2009 TI - CSC: Supporting Queries on Compressed Cached XML ER - TY - CONF AU - Böttcher, Stefan AU - Hartel, Rita AU - Messinger, Christian ID - 15139 SN - 9780769534503 T2 - 2009 42nd Hawaii International Conference on System Sciences TI - XML Stream Data Reduction by Shared KST Signatures ER - TY - CONF AU - Boukhris, I. AU - Elouedi, Z. AU - Fober, T. AU - Mernberger, M. AU - Hüllermeier, Eyke ID - 15194 T2 - In Proceedings IDA-2009, 9th International Symposium on Intelligent Data Analysis, Pisa / Italy TI - Similarity analysis of protein binding sites: A generalization of the maximum common subgraph measure based on quasi-clique detection ER - TY - CONF AU - Fober, T. AU - Hüllermeier, Eyke ID - 15195 T2 - in Proceedings IFSA / EUSFLAT-2009 World Congress of the Fuzzy Systems Association, Lissabon, Portugal TI - Fuzzy modeling of labeled point cloud superposition for the comparison of protein binding sites ER - TY - CONF AU - Hüllermeier, Eyke AU - Rifqi, M. ID - 15196 T2 - in Proceedings IFSA / EUSFLAT-2009 World Congress of the Fuzzy Systems Association, Lissabon, Portugal TI - A fuzzy variant of the Rand index for comparing clustering structures ER - TY - GEN AU - Henning, Bernd ID - 15238 TI - Methoden und Werkzeuge für einen effizienten Ultraschallsensorentwurf ER - TY - CONF AB - Ultrasonic sensors are widespread in the process industry for example to measure flow, filling level, density or substance concentration in liquid mixtures today. On one side technically high demands are made to the ultrasonic sensors on the other side the production of the ultrasonic sensors has to be more and more cost-efficient. Today, these two contrary demands only can be met by the use of efficient development tools. This contribution describes the state of technology in the field of the computer-assisted ultrasonic transducer development, however, also shows the limits. AU - Henning, Bernd ID - 15239 TI - Trends in ultrasonic transducer design ER - TY - CONF AB - Today, ultrasonic sensor systems are often applied in process technology. For the opening up of new industrial fields of application, such as the non-invasive process tomography, ultrasound sensors are necessary which are stable and adapted optimally under process conditions. Only with such optimized ultrasonic sensors the functionality of the sensor systems can be enlarged decisively with support of a complex measurement data evaluation. This contribution deals especially with the design process. AU - Henning, Bernd AU - Rautenberg, Jens AU - Schröder, Andreas AU - Unverzagt, Carsten ID - 15240 SN - 978-3-9810993-4-8 T2 - Proceedings Sensor 2009 TI - Ultrasonic Sensors for Process Applications - Sensor Design ER - TY - JOUR AB - In this contribution, possibilities and methods for computer-assisted design of ultrasound transducers are described. These transducers are essential for an ultrasonic sensor design, e.g. for continuous non-invasive determination of quantities that are important in process technology. To achieve technical reliability and robustness, the precise determination of all acoustic properties of the used sensor materials is of great importance. Problem-oriented modeling, numerical simulation, special optimization algorithms and improved methods for the visualization of propagating waves offer new and promising possibilities for developing ultrasonic transducers with enhanced properties. AU - Henning, Bernd AU - Rautenberg, Jens AU - Unverzagt, Carsten AU - Schröder, Andreas AU - Olfert, Sergei ID - 15241 IS - 124012 (11pp) JF - Journal of Measurement Science and Technology, MST TI - Computer assisted design of transducers for ultrasonic sensor systems VL - 20 ER - TY - CONF AB - In non-destructive testing (NDT) with ultrasound the emission of short pulses is essentially if the echoes of nearby obstacles should be separated from the emitted signal. In this contribution a new approach is shown how to gene-rate a short ultrasonic pulse using a 3$-$1 composite transdu-cer. Therefore the ceramic bars, which are embedded in a polymer matrix, will be regarded as an exciter for the entire structure. After the pulse excitation the same bars can also be used for active damping to increase the bandwidth of the entire system. The Mason model serves as a basis for the de-scription of the ultrasonic transducer and is extended to the composite structure. The excitation signal is adaptively mo-dified by a suitable signal processing. Therefore the changes of boundary conditions, like the ambient temperature or acoustic impedance of adjacent media are considered. AU - Rautenberg, Jens AU - Olfert, Sergei AU - Henning, Bernd ID - 15242 TI - Generating of short ultrasonic pulses using active damping ER - TY - JOUR AU - Domik, Gitta ID - 15255 JF - Informatics Education Europe IV, November TI - Interdisciplinary Collaboration in a Visualization Course ER - TY - JOUR AU - Böke, Johannes AU - Erhardt, Rüdiger AU - Rostek, Wilfried AU - Tröster, Thomas ID - 15953 JF - Materials Testing SN - 0025-5300 TI - Einsatz von Simulationswerkzeugen in der Entwicklungskette von ultrahochfesten warmgeformten Strukturkomponenten im Fahrzeugleichtbau* ER - TY - JOUR AU - Heim, B. AU - Elser, D. AU - Bartley, Tim AU - Sabuncu, M. AU - Wittmann, C. AU - Sych, D. AU - Marquardt, C. AU - Leuchs, G. ID - 16111 JF - Applied Physics B SN - 0946-2171 TI - Atmospheric channel characteristics for quantum communication with continuous polarization variables ER - TY - JOUR AU - Weskamp, N. AU - Hüllermeier, Eyke AU - Klebe, G. ID - 16154 IS - 2 JF - Proteins TI - Merging chemical and biological space: Structural mapping of enzyme binding pocket space VL - 76 ER - TY - JOUR AU - Hühn, J. AU - Hüllermeier, Eyke ID - 16158 JF - Data Mining and Knowledge Discovery TI - FURIA: An Algorithm for unordered fuzzy rule induction VL - 19 ER - TY - JOUR AU - Hüllermeier, Eyke AU - Vanderlooy, S. ID - 16159 IS - 6 JF - IEEE Transactions on Fuzzy Systems TI - Why fuzzy decision trees are good rankers VL - 17 ER - TY - JOUR AU - Cheng, W. AU - Hüllermeier, Eyke ID - 16160 IS - 2-3 JF - Machine Learning TI - Combining instance-based learning and logistic regression for multilabel classification VL - 76 ER - TY - JOUR AU - Yi, Y. AU - Fober, T. AU - Hüllermeier, Eyke ID - 16161 IS - 4 JF - International Journal of Computational Intelligence and Applications TI - Fuzzy operator trees for modeling rating functions VL - 8 ER - TY - JOUR AU - Fober, T. AU - Mernberger, M. AU - Klebe, G. AU - Hüllermeier, Eyke ID - 16162 IS - 16 JF - Bioinformatics TI - Evolutionary construction of multiple graph alignments for the structural analysis of biomolecules VL - 25 ER - TY - JOUR AU - Hühn, J. AU - Hüllermeier, Eyke ID - 16163 IS - 1 JF - IEEE Transactions on Fuzzy Systems TI - FR3: A fuzzy rule learner for inducing reliable classifiers VL - 17 ER - TY - JOUR AU - Hüllermeier, Eyke AU - Vladimirskiy, I. AU - Prados Suarez, B. AU - Stauch, E. ID - 16165 IS - 09 JF - Künstliche Intelligenz TI - Supporting case-based retrieval by similarity skylines: Basic concepts and extensions VL - 1 ER - TY - JOUR AU - Bienkowski, Marcin AU - Byrka, Jaroslaw AU - Korzeniowski, Miroslaw AU - Meyer auf der Heide, Friedhelm ID - 16398 JF - Journal of Discrete Algorithms SN - 1570-8667 TI - Optimal algorithms for page migration in dynamic networks ER - TY - JOUR AU - Gedanitz, Holger AU - Dávila, María J. AU - Baumhögger, Elmar AU - Span, Roland ID - 13172 JF - The Journal of Chemical Thermodynamics SN - 0021-9614 TI - An apparatus for the determination of speeds of sound in fluids ER -