TY - JOUR A1 - Agnese, Pablo A1 - Salvador, Pablo F. T1 - More alike than different: the Spanish and Irish labour markets before and after the crisis JF - IZA Journal of European Labor Studies KW - DOAJ Y1 - 2012 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:due62-opus-28185 SN - 2193-9012 VL - 1 IS - 1 PB - Springer Nature ER - TY - CHAP A1 - Müller, Dennis A1 - Meuter, Mirko A1 - Park, Su-Birm T1 - Motion segmentation using interest points T2 - 2008 IEEE Intelligent Vehicles Symposium Y1 - 2008 SN - 978-1-4244-2568-6 U6 - https://doi.org/10.1109/IVS.2008.4621239 SP - 19 EP - 24 PB - IEEE ER - TY - CHAP A1 - Ladwig, Philipp A1 - Evers, Kester A1 - Jansen, Eric J. A1 - Fischer, Ben A1 - Nowottnik, David A1 - Geiger, Christian T1 - MotionHub: Middleware for Unification of Multiple Body Tracking Systems T2 - Proceedings of the 7th International Conference on Movement and Computing: MOCO '20: 7th International Conference on Movement and Computing, Jersey City, 15.07.2020-17.07.2020 Y1 - 2020 UR - https://dl.acm.org/doi/proceedings/10.1145/3401956 SN - 9781450375054 U6 - https://doi.org/10.1145/3401956.3404185 SP - 1 EP - 8 PB - ACM CY - New York ER - TY - CHAP A1 - Dahm, Markus T1 - MP3ergo - Usability of MP3 players T2 - proc. 10th intl conf Humans and Computers, Duesseldorf N2 - Listening to music played by small MP3-players is almost as ubiquituous as talking over mobile phones. In this paper we analyse interaction elements and usabilty of current MP3-players. To determine the usability, an empirical study based on a website that presented three simulated MP3-players was performed with over 1000 participants. The results show that, despite most marketing claims, some interaction devices are not as intuitive and really suitable for the task as they schould be. Also we found some surprising results concerning erroneous usage of navigation keys. KW - MP3 KW - usability Y1 - 2007 SP - 123 EP - 128 CY - Düsseldorf ER - TY - JOUR A1 - Huber, Florian A1 - van der Burg, Sven A1 - van der Hooft, Justin J. J. A1 - Ridder, Lars T1 - MS2DeepScore: a novel deep learning similarity measure to compare tandem mass spectra JF - Journal of Cheminformatics N2 - Mass spectrometry data is one of the key sources of information in many workflows in medicine and across the life sciences. Mass fragmentation spectra are generally considered to be characteristic signatures of the chemical compound they originate from, yet the chemical structure itself usually cannot be easily deduced from the spectrum. Often, spectral similarity measures are used as a proxy for structural similarity but this approach is strongly limited by a generally poor correlation between both metrics. Here, we propose MS2DeepScore: a novel Siamese neural network to predict the structural similarity between two chemical structures solely based on their MS/MS fragmentation spectra. Using a cleaned dataset of > 100,000 mass spectra of about 15,000 unique known compounds, we trained MS2DeepScore to predict structural similarity scores for spectrum pairs with high accuracy. In addition, sampling different model varieties through Monte-Carlo Dropout is used to further improve the predictions and assess the model's prediction uncertainty. On 3600 spectra of 500 unseen compounds, MS2DeepScore is able to identify highly-reliable structural matches and to predict Tanimoto scores for pairs of molecules based on their fragment spectra with a root mean squared error of about 0.15. Furthermore, the prediction uncertainty estimate can be used to select a subset of predictions with a root mean squared error of about 0.1. Furthermore, we demonstrate that MS2DeepScore outperforms classical spectral similarity measures in retrieving chemically related compound pairs from large mass spectral datasets, thereby illustrating its potential for spectral library matching. Finally, MS2DeepScore can also be used to create chemically meaningful mass spectral embeddings that could be used to cluster large numbers of spectra. Added to the recently introduced unsupervised Spec2Vec metric, we believe that machine learning-supported mass spectral similarity measures have great potential for a range of metabolomics data processing pipelines. KW - DOAJ Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:due62-opus-34847 UR - http://www.ncbi.nlm.nih.gov/pubmed/34715914 SN - 1758-2946 N1 - J.J.J.v.d.H. acknowledges funding from an ASDI eScience grant, ASDI.2017.030, from the Netherlands eScience Center. VL - 13 IS - 1 PB - Cold Spring Harbor Laboratory ER - TY - JOUR A1 - de Jonge, Niek F. A1 - Louwen, Joris J. R. A1 - Chekmeneva, Elena A1 - Camuzeaux, Stephane A1 - Vermeir, Femke J. A1 - Jansen, Robert S. A1 - Huber, Florian A1 - van der Hooft, Justin J. J. T1 - MS2Query: reliable and scalable MS2 mass spectra-based analogue search JF - Nature Communications N2 - Metabolomics-driven discoveries of biological samples remain hampered by the grand challenge of metabolite annotation and identification. Only few metabolites have an annotated spectrum in spectral libraries; hence, searching only for exact library matches generally returns a few hits. An attractive alternative is searching for so-called analogues as a starting point for structural annotations; analogues are library molecules which are not exact matches but display a high chemical similarity. However, current analogue search implementations are not yet very reliable and relatively slow. Here, we present MS2Query, a machine learning-based tool that integrates mass spectral embedding-based chemical similarity predictors (Spec2Vec and MS2Deepscore) as well as detected precursor masses to rank potential analogues and exact matches. Benchmarking MS2Query on reference mass spectra and experimental case studies demonstrate improved reliability and scalability. Thereby, MS2Query offers exciting opportunities to further increase the annotation rate of metabolomics profiles of complex metabolite mixtures and to discover new biology. KW - Metabolomik KW - Massenspektrometrie KW - Maschinelles Lernen KW - Reproduzierbarkeit KW - Metabolomics KW - Mass Spectrometry KW - Machine Learning KW - Complex Mixtures Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:due62-opus-46105 SN - 2041-1723 VL - 14 PB - Springer ER - TY - JOUR A1 - Müller, Patrick A1 - Braun, Alexander T1 - MTF as a performance indicator for AI algorithms? JF - Electronic Imaging: Society for Imaging Science and Technology N2 - Abstract The modulation-transfer function (MTF) is a fundamental optical metric to measure the optical quality of an imaging system. In the automotive industry it is used to qualify camera systems for ADAS/AD. Each modern ADAS/AD system includes evaluation algorithms for environment perception and decision making that are based on AI/ML methods and neural networks. The performance of these AI algorithms is measured by established metrics like Average Precision (AP) or precision-recall-curves. In this article we research the robustness of the link between the optical quality metric and the AI performance metric. A series of numerical experiments were performed with object detection and instance segmentation algorithms (cars, pedestrians) evaluated on image databases with varying optical quality. We demonstrate with these that for strong optical aberrations a distinct performance loss is apparent, but that for subtle optical quality differences – as might arise during production tolerances – this link does not exhibit a satisfactory correlation. This calls into question how reliable the current industry practice is where a produced camera is tested end-of-line (EOL) with the MTF, and fixed MTF thresholds are used to qualify the performance of the camera-under-test. KW - AI performance metrics KW - Artificial Intelligence KW - Modulation Transfer Function (MTF) KW - Optical Quality KW - Perception Y1 - 2023 U6 - https://doi.org/10.2352/EI.2023.35.16.AVM-125 SN - 2470-1173 VL - 35 IS - 16 SP - 1 EP - 7 PB - Society for Imaging Science and Technology ER - TY - THES A1 - Spiegel, Thomas T1 - Multi-criteria flexibility allocation for electric distribution networks N2 - Germany’s national climate protection policy, the German Energy Transition, is oriented towards the reduction of energy-related greenhouse gas emissions by rapidly expanding the share of renewable energy systems. New challenges arise regarding technical and energy economical integration as installed wind and photovoltaic power capacities increase continuously. This thesis contributes to the topic by introducing a framework for online multi-criteria flexibility allocation in electrical distribution networks with transport capacity limitations. It considers technical aspects and market participant interests that may contradict each other. Local master data is preprocessed using geospatial information of buildings, photovoltaic systems, wind turbines, and the human population within a spatial domain of interest. By combining weather forecast data, this establishes the foundation for predicting power flow in the electrical distribution network and generating grid-beneficial criteria utilizing the smart grid traff. Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:gbv:579-opus-1011990 PB - IRC-Library, Information Resource Center der Constructor University CY - Bremen ER - TY - JOUR A1 - Zander, Nils A1 - Ruess, Martin A1 - Bog, Tino A1 - Kollmannsberger, Stefan A1 - Rank, Ernst T1 - Multi-level hp -adaptivity for cohesive fracture modeling JF - International Journal for Numerical Methods in Engineering Y1 - 2017 U6 - https://doi.org/10.1002/nme.5340 SN - 1097-0207 VL - 109 IS - 13 SP - 1723 EP - 1755 PB - Wiley ER - TY - JOUR A1 - Elhaddad, Mohamed A1 - Zander, Nils A1 - Bog, Tino A1 - Kudela, László A1 - Kollmannsberger, Stefan A1 - Kirschke, Jan A1 - Baum, Thomas A1 - Ruess, Martin A1 - Rank, Ernst T1 - Multi-level hp-finite cell method for embedded interface problems with application in biomechanics JF - International Journal for Numerical Methods in Biomedical Engineering N2 - This work presents a numerical discretization technique for solving 3-dimensional material interface problems involving complex geometry without conforming mesh generation. The finite cell method (FCM), which is a high-order fictitious domain approach, is used for the numerical approximation of the solution without a boundary-conforming mesh. Weak discontinuities at material interfaces are resolved by using separate FCM meshes for each material sub-domain and weakly enforcing the interface conditions between the different meshes. Additionally, a recently developed hierarchical hp-refinement scheme is used to locally refine the FCM meshes to resolve singularities and local solution features at the interfaces. Thereby, higher convergence rates are achievable for nonsmooth problems. A series of numerical experiments with 2- and 3-dimensional benchmark problems is presented, showing that the proposed hp-refinement scheme in conjunction with the weak enforcement of the interface conditions leads to a significant improvement of the convergence rates, even in the presence of singularities. Finally, the proposed technique is applied to simulate a vertebra-implant model. The application showcases the method's potential as an accurate simulation tool for biomechanical problems involving complex geometry, and it demonstrates its flexibility in dealing with different types of geometric description. Y1 - 2018 UR - http://www.ncbi.nlm.nih.gov/pubmed/29265715 U6 - https://doi.org/10.1002/cnm.2951 SN - 2040-7947 VL - 34 IS - 4 PB - Wiley ER - TY - JOUR A1 - Biedermann, Till M. A1 - Reich, M. A1 - Paschereit, C. O. T1 - Multi-Objective Modeling of Leading-Edge Serrations Applied to Low-Pressure Axial Fans JF - Journal of Engineering for Gas Turbines and Power Y1 - 2020 UR - https://doi.org/10.1115/1.4048599 U6 - https://doi.org/10.1115/1.4048599 VL - 142 IS - 11 PB - ASME ER - TY - CHAP A1 - Gottschald, Jonas A1 - Adam, Mario A1 - Reich, Marius T1 - Multi-Objective Optimization of a District Heating Networks Energy Supply Systems Structure and Dimension T2 - SDH - 5th International Solar District Heating Conference, 11.-12.04.2018, Graz / Austria KW - Fast-Energy-Design Y1 - 2018 UR - https://www.researchgate.net/publication/325896757_Robust_Optimization_of_District_Heating_Networks_Structure_and_Dimension_combining_Metamodels_and_Multi-Objective_Optimization CY - Graz ER - TY - JOUR A1 - Petrarca, M. A1 - Henin, S. A1 - Stelmaszczyk, K. A1 - Bock, S. A1 - Kraft, S. A1 - Schramm, U. A1 - Vaneph, C. A1 - Vogel, A. A1 - Kasparian, J. A1 - Sauerbrey, R. A1 - Weber, Konradin A1 - Wöste, L. A1 - Wolf, J.-P. T1 - Multijoule scaling of laser-induced condensation in air JF - Applied Physics Letters N2 - Using 100 TW laser pulses, we demonstrate that laser-induced nanometric particle generation in air increases much faster than the beam-averaged incident intensity. This increase is due to a contribution from the photon bath, which adds up with the previously identified one from the filaments and becomes dominant above 550 GW/cm2. It appears related to ozone formation via multiphoton dissociation of the oxygen molecules and demonstrates the critical need for further increasing the laser energy in view of macroscopic effects in laser-induced condensation. KW - Luftreinhaltung Y1 - 2011 U6 - https://doi.org/10.1063/1.3646397 SN - 0003-6951 VL - 99 IS - 14 PB - AIP Publishing ER - TY - CHAP A1 - Fiedler, Jannik A1 - Rilling, Stefan A1 - Bogen, Manfred A1 - Herder, Jens ED - Braz, José T1 - Multimodal interaction techniques in scientific data visualization: An analytical survey T2 - In Proceedings of the 10th International Conference on Computer Graphics Theory and Applications (GRAPP-2015) N2 - The interpretation process of complex data sets makes the integration of effective interaction techniques crucial. Recent work in the field of human-computer interaction has shown that there is strong evidence that multimodal user interaction, i.e. the integration of various input modalities and interaction techniques into one comprehensive user interface, can improve human performance when interacting with complex data sets. However, it is still unclear which factors make these user interfaces superior to unimodal user interfaces. The contribution of this work is an analytical comparison of a multimodal and a unimodal user interface for a scientific visualization application. We show that multimodal user interaction with simultaneously integrated speech and gesture input improves user performance regarding efficiency and ease of use. KW - Interaction KW - Mulitmodal KW - Interaction Techniques KW - 3-D Interaction KW - Immersive Environments KW - VSVR Y1 - 2015 SN - 978-989-758-087-1 U6 - https://doi.org/10.5220/0005296404310437 SP - 431 EP - 437 PB - SCITEPRESS CY - s. l. ER - TY - CHAP A1 - Skoda, Sabrina A1 - Steffens, Jochen A1 - Becker-Schweitzer, Jörg T1 - Multisensory interaction – A comparative study on driving sound evaluation in moving base and fixed base driving simulators T2 - Proceedings of the Driving Simulation Conference 2012, CD-ROM Y1 - 2012 CY - Paris ER - TY - CHAP A1 - Möser, Annika A1 - Reufer, Thomas A1 - Geiger, Christian ED - Romão, Teresa ED - Correia, Nuno ED - Inami, Masahiko ED - Kato, Hirokasu ED - Prada, Rui ED - Terada, Tsutomu ED - Dias, Eduardo ED - Chambel, Teresa T1 - Multitouch and pen interaction for 3D configuration of virtual yachts at trade fairs T2 - Proceedings of the 8th International Conference on Advances in Computer Entertainment Technology - ACE '11, Lisbon, 08.11.2011 - 11.11.2011 Y1 - 2011 UR - http://dl.acm.org/citation.cfm?doid=2071423 SN - 9781450308274 U6 - https://doi.org/10.1145/2071423.2071514 PB - ACM Press CY - New York ER - TY - CHAP A1 - Marinos, Dionysios A1 - Geiger, Christian A1 - Schwirten, Tobias A1 - Göbel, Sebastian ED - Krüger, Antonio ED - Schöning, Johannes ED - Wigdor, Daniel ED - Haller, Michael T1 - Multitouch navigation in zoomable user interfaces for large diagrams T2 - ACM International Conference on Interactive Tabletops and Surfaces - ITS '10, 07.11.2010 - 10.11.2010, Saarbrücken Y1 - 2010 UR - http://portal.acm.org/citation.cfm?doid=1936652 SN - 9781450303996 U6 - https://doi.org/10.1145/1936652.1936713 PB - ACM Press CY - New York ER - TY - CHAP A1 - Steffens, Jochen A1 - Steele, Daniel A1 - Guastavino, Catherine T1 - Music influences the perception of our acoustic and visual environment T2 - Proceedings of the 45th International Congress and Exposition on Noise Control Engineering, INTER-NOISE 2016 KW - Habilitation Y1 - 2016 SP - 7155 EP - 7160 ER - TY - JOUR A1 - Elvers, Paul A1 - Fischinger, Timo A1 - Steffens, Jochen T1 - Music listening as self-enhancement JF - Psychology of Music KW - Habilitation Y1 - 2018 U6 - https://doi.org/10.1177/0305735617707354 VL - 10 IS - 2 SP - 1 EP - 19 PB - Sage ER - TY - THES A1 - Obry, Yannick T1 - Music Streaming Adaption – Drivers of Behavioral Intention N2 - Music consumption and distribution has changed drastically in the last twenty years due to digitalization. Instead of buying music products, like CDs or even downloaded digital music files, today music is predominantly distributed via online music streaming. Therefore, it is mandatory for the music industry as well as researchers to determine which factors are affecting consumers intention to use music streaming services. This study aims to investigate drivers of Behavioral Intention (BI) to use a music streaming service. Particularly, aspects of social preferences in the context of music streaming will be explored. Therefore, a research model is created, based on the Value-based Adoption Model (VAM) (Kim et al., 2007) with an extension to take social factors into account. An online questionnaire with 102 participants was conducted to test the research model and the corresponding hypotheses. In order to evaluate reliable indications, some adjustments needed to be made resulting in a corrected research model. The final independent variables of the corrected model are Perceived Value (PV) (which is composed of Perceived Usefulness (PU) and Perceived Enjoyment (PE)), Perceived Ease of Use (PEU), Perceived Price Value (PPV), Facilitating Conditions (FC), Perceived Fairness (PF), Social Connectivity (SC), and Peer-Effects (PFX). The empirical results show that Perceived Value (PV), Perceived Price Value (PPV), and Perceived Fairness (PF) are determinants of consumers Behavioral Intention (BI) to use a music streaming service. KW - Bachelor KW - SoSe23 Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:due62-opus-41326 CY - Düsseldorf ER -