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Suche nach „[Contribution]“ hat 1867 Publikationen gefunden
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    DigitalF: Elektrotechnik und Medientechnik

    Beitrag (Sammelband oder Tagungsband)

    Andreas Fischer, A. Paler

    On the analogy between quantum circuit design automation and virtual network embedding

    Proceedings of 34th ACM/SIGAPP Symposium on Applied Computing (SAC'19) [April 8-12, 2019; Limassol, Cyprus], New York, NY, USA

    2019

    DOI: 10.1145/3297280.3297419

    Abstract anzeigen

    Quantum computing and network virtualisation share more similarities than it would seem on first thought: both reach their potential by using the underlying hardware as efficiently as possible - a classical computer science problem. Quantum computing research has already been focusing on key problems related to the scarcity of the quantum hardware, hoping that once scalable quantum computers will be available, quantum circuit design automation methods (QCDA) are mature. Consequently, a significant methodological apparatus exists for a technology envisioned to scale in the future. Likewise, the optimisation of resource assignment for virtual networks has received much attention in the literature. As such, any scalability improvement of virtual network embedding (VNE) would be of high practical importance in the present. There is an interesting and promising relationship between VNE and QCDA. This work introduces the possibility to use QCDA methodology for VNE, and vice versa. VNE problem instances can be modeled using the quantum circuit formalism, and we offer some basic examples. To the best of our knowledge, this is the first work that highlights this analogy.

    DigitalF: Elektrotechnik und Medientechnik

    Beitrag (Sammelband oder Tagungsband)

    Andreas Fischer, D. Bhamare, A. Kassler

    On the Construction of Optimal Embedding Problems for Delay-Sensitive Sercice Function Chains

    [Accepted for publication]

    Proceedings of the 28th International Conference on Computer Communications and Networks (ICCCN 2019) [July 29-August 1, 2019; Valencia, Spain]

    2019

    DigitalMobilF: Europan Campus Rottal-Inn

    Beitrag (Sammelband oder Tagungsband)

    V. Dürr, P. Arena, H. Cruse, Ch.J. Dallmann, A. Drimus, T. Hoinville, T. Krause, Stefan Mátéfi-Tempfli, J. Paskarbeit, L. Patane, M. Schilling, J. Schmitz, R. Strauss, A. Vitanza, A. Schneider

    Integrative Biomimetics of Autonomous Hexapedal Locomotion

    Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) [November 3-8, 2019; Macau, China]

    2019

    Abstract anzeigen

    Despite substantial advances in many different fields of neurorobotics in general, and biomimetic robots in particular, a key challenge is the integration of concepts: to collate and combine research on disparate and conceptually disjunct research areas in the neurosciences and engineering sciences. We claim that the development of suitable robotic integration platforms is of particular relevance to make such integration of concepts work in practice. Here, we provide an example for a hexapod robotic integration platform for autonomous locomotion. In a sequence of six focus sections dealing with aspects of intelligent, embodied motor control in insects and multipedal robots—ranging from compliant actuation, distributed proprioception and control of multiple legs, the formation of internal representations to the use of an internal body model—we introduce the walking robot HECTOR as a research platform for integrative biomimetics of hexapedal locomotion. Owing to its 18 highly sensorized, compliant actuators, light-weight exoskeleton, distributed and expandable hardware architecture, and an appropriate dynamic simulation framework, HECTOR offers many opportunities to integrate research effort across biomimetics research on actuation, sensory-motor feedback, inter-leg coordination, and cognitive abilities such as motion planning and learning of its own body size.

    DigitalF: Elektrotechnik und Medientechnik

    Beitrag (Sammelband oder Tagungsband)

    R. Kühn, Andreas Fischer, H. Meer

    Modeling Security Requirements for VNE Algorithms: A Practical Approach

    Systems Modeling: Methodologies and Tools, Cham

    2019

    ISBN: 978-3-319-92378-9

    NachhaltigF: Elektrotechnik und MedientechnikS: TC Freyung

    Beitrag (Sammelband oder Tagungsband)

    A. Poque González, Y. Masip Macia, Javier Valdés, Luis Ramirez Camargo

    Cogeneración en Chile: Capacidades, desarrollo y perspectivas

    Memorias de la XLI Reunión de Trabajo de la ASADES (Nov 5-10, 2018; Cordoba, Argentina)

    2019

    ISBN: 978-987-29873-1-2

    NachhaltigS: TC Freyung

    Beitrag (Sammelband oder Tagungsband)

    Luis Ramirez Camargo, Javier Valdés, Y. Masip Macia, Wolfgang Dorner

    Assessment of on-site steady electricity generation from renewable energy sources in Chile

    Energy Procedia (Contributions to the 10th International Conference on Applied Energy ICAE 2018), vol. 158

    2019

    DOI: 10.1016/j.egypro.2019.01.266

    Abstract anzeigen

    Chile has an immense renewable energy potential but their integration in the energy system constitutes a major challenge. The complex topography of the country, the isolation of the different electric grids and the variability of renewable energy sources, makes energy transmission from locations with high variable renewable power generation potential to the demand centres not an easy task. The present study aims at assessing the potential of combining solar power, wind power and storage systems to provide steady loads already from the source. Such a combination should take advantage of complementarity between variable renewable sources and serves to simplify their integration in the energy system. The analysis relies on an optimization model to size hybrid renewable energy systems and 10 years of weather data from the brand new ERA-5 reanalysis. Necessary system sizes to constantly generate 1 MWh of electricity for every hour during the period 2008-2017 are calculated for all possible locations across the country. The results show that the necessary generation and storage capacities to provide a steady energy output are very high even for areas with exceptionally high renewable energy potential.

    NachhaltigS: TC Freyung

    Beitrag (Sammelband oder Tagungsband)

    Luis Ramirez Camargo, K. Gruber, F. Nitsch, Wolfgang Dorner

    Hybrid renewable energy systems to supply electricity to self-sufficient residential buildings in Central Europe

    Energy Procedia (Contributions to the 10th International Conference on Applied Energy ICAE 2018), vol. 158

    2019

    DOI: 10.1016/j.egypro.2019.01.096

    Abstract anzeigen

    This work evaluates potentials of photovoltaic and battery systems with additional micro-generation wind turbines (10.5 kW) to cover electricity demand of residential users in two countries in Central Europe. It relies on high-resolution regional reanalysis data and a techno-economical optimization model. Maps showing the number of wind turbines, photovoltaic and battery systems sizes necessary to supply electricity for clusters of electricity self-sufficient single-family houses across Germany and the Czech Republic are generated. No general trends that apply for the two countries concerning the relation between the sizes of the different technologies were identified. However, it was possible to determine several large areas where the inclusion of small wind turbines decreases the total system costs and considerably reduces the required storage capacities. Results are discussed and compared to previous work on self-sufficient single-family houses.

    DigitalNachhaltigF: Europan Campus Rottal-Inn

    Beitrag (Sammelband oder Tagungsband)

    K. Siala, E. Baik, Matthias Huber, T. Hamacher, S. Benson

    Optimizing the Californian Power System according to the Renewable Portfolio Standards for 2030 and beyond

    Proceedings of the 37th International Energy Workshop Gothenburg

    2018

    DigitalNachhaltigF: Europan Campus Rottal-Inn

    Beitrag (Sammelband oder Tagungsband)

    N. Vespermann, Matthias Huber, S. Paulus, M. Metzger, T. Hamacher

    The Impact of Network Tariffs on PV Investment Decisions by Consumers

    2018 15th International Conference on the European Energy Market (EEM)

    2018

    DOI: 10.1109/EEM.2018.8469944

    Abstract anzeigen

    The increasing amount of self-produced energy reduces the customer base of network utilities. Assuming constant grid costs, network charges have to be increased in systems applying volumetric network tariffs. In order to understand the cost recovery problem of utilities, it is crucial to analyze consumers' PV investment and operation decisions as sources of self-produced energy. This work proposes a mathematical framework that determines PV investment by consumers subject to the day-ahead market. Volumetric and capacity network tariffs are considered, which are altered by consumers' day-ahead market demand. The optimal PV investment from a central planner's perspective serves as a benchmark. The results show that a volumetric network tariff incentivizes inefficient investments in distributed PV systems, which causes all consumers' energy costs to increase. In contrast, a capacity network tariff reduces these incentives as consumers cannot offset their expected burden of network costs by installing PV systems.

    F: Angewandte Wirtschaftswissenschaften

    Beitrag (Sammelband oder Tagungsband)

    Hanjo Allinger, R. Emmerich

    Grenzenlos retten: Anforderungen an Staatsverträge zur Notfallrettung

    Herausforderung Notfallmedizin

    2018

    ISBN: 978-3-662-56627-5

    DigitalNachhaltigS: TC Grafenau

    Beitrag (Sammelband oder Tagungsband)

    S. Goisser, Michael Fernandes, H. Mempel

    Zerstörungsfreie Messmethode zur schnellen Qualitätsbewertung und Haltbarkeitsabschätzung von Lebensmitteln mit Hilfe von Food Scannern

    52. Gartenbauwissenschaftliche Jahrestagung „Klimafolgen und Herausforderungen für den Gartenbau“, vol. 33

    2018

    DigitalNachhaltigS: TC Grafenau

    Beitrag (Sammelband oder Tagungsband)

    S. Goisser, Michael Fernandes, C. Ulrichs, H. Mempel

    Non-destructive measurement method for a fast quality evaluation of fruit and vegetables by using food-scanner

    Short Communications of the DGG and BHGL Annual Conference 2018 (Geisenheim, Germany), vol. 8/13

    2018

    DOI: 10.5288/dgg-pr-sg-2018

    Abstract anzeigen

    Recent reports estimate the volume of food loss along the supply chain to 1,3 billion tons globally per year, which equals one-third of food produced for human consumption (FAO, 2011). Further studies conducted for the German food supply chain estimate the quantity of annual food loss between 11 million (Universität Stuttgart, 2012) and 18 million (WWF, 2015) tons. Fruits and vegetables, with a percentage of 44 of the total food loss, are commodities most frequently thrown away (BMEL, 2012). In recent years, a lot of attention is given to so-called food-scanners. Food-scanner are miniaturized near-infrared (NIR) spectrometers, which allow a fast and noninvasive determination of food quality. They can be used as a multidimensional predictor to determine the chemical and physical composition of agricultural and food products (e.g. soluble solids, dry matter, moisture, firmness). Due to their small size and portability these devices can be used for in-field application as well as for researchers andend-consumers (Santos et al.,2013). Studies of Flores et al. (2009) and Kim et al. (2013) indicate that NIRS is suitable for predicting quality attributes of various tomato varieties. The experiments described in this study are conducted on tomatoes and focus on the performance of a food-scanner compared to a benchtop NIR-spectrometer. Important quality parameters of tomato, such as sugar content and firmness, are evaluated with respect to their predictability in order to validate the performance of this new kind of non-destructive measurement method.

    NachhaltigF: Elektrotechnik und MedientechnikI: IQMA

    Beitrag (Sammelband oder Tagungsband)

    Christoph Metzke, W. Lehermeier

    Investigation of Soft Polymer Surfaces using Atomic Force Microscopy and Laser Scanning Microscopy

    Applied Research Conference 2018

    2018

    ISBN: 978-3964090188

    NachhaltigF: Elektrotechnik und MedientechnikI: IQMA

    Beitrag (Sammelband oder Tagungsband)

    W. Lehermeier, Christoph Metzke

    Investigation of Local Thermal Properties of Carbon Fiber / Epoxy Composites by using Scanning Thermal Microscopy

    Applied Research Conference 2018

    2018

    ISBN: 978-3964090188

    DigitalExtern

    Beitrag (Sammelband oder Tagungsband)

    Johannes Käsbauer, Anton Schmailzl, S. Hierl

    Simulationsgestützte Prozessentwicklung beim Laser Durchstrahlschweißen von Thermoplasten ohne absorbierende Füllstoffe

    Tagungsband zur 36. CADFEM ANSYS Simulation Conference (10.-12.10.2018; Leipzig)

    2018

    DigitalF: Angewandte Informatik

    Beitrag (Sammelband oder Tagungsband)

    Patrick Glauner, P. Valtchev, R. State

    Impact of Biases in Big Data

    Proceedings of the 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2018) [April 27-29, 2018; Bruges, Belgium]

    2018

    Abstract anzeigen

    The underlying paradigm of big data-driven machine learning reflects the desire of deriving better conclusions from simply analyzing more data, without the necessity of looking at theory and models. Is having simply more data always helpful? In 1936, The Literary Digest collected 2.3M filled in questionnaires to predict the outcome of that year's US presidential election. The outcome of this big data prediction proved to be entirely wrong, whereas George Gallup only needed 3K handpicked people to make an accurate prediction. Generally, biases occur in machine learning whenever the distributions of training set and test set are different. In this work, we provide a review of different sorts of biases in (big) data sets in machine learning. We provide definitions and discussions of the most commonly appearing biases in machine learning: class imbalance and covariate shift. We also show how these biases can be quantified and corrected. This work is an introductory text for both researchers and practitioners to become more aware of this topic and thus to derive more reliable models for their learning problems.

    DigitalF: Angewandte InformatikS: TC Plattling MoMo

    Beitrag (Sammelband oder Tagungsband)

    A. Tulbure, Berthold Bäuml

    Superhuman Performance in Tactile Material Classification and Differentiation with a Flexible Pressure-Sensitive Skin

    Proceedings of the 2018 IEEE-RAS International Conference on Humanoid Robots (Humanoids 2018) [November 6-9, 2018; Beijing China]

    2018

    DOI: 10.1109/HUMANOIDS.2018.8624987

    Abstract anzeigen

    In this paper, we show that a robot equipped with a flexible and commercially available tactile skin can exceed human performance in the challenging tasks of material classification, i.e., uniquely identifying a given material by touch alone, and of material differentiation, i.e., deciding if the materials in a given pair of materials are the same or different. For processing the high dimensional spatio-temporal tactile signal, we use a new tactile deep learning network architecture TactNet-II which is based on TactNet [1] and is significantly extended with recently described architectural enhancements and training methods. TactN et- Iireaches an accuracy for the material classification task as high as 95.0 %. For the material differentiation a new Siamese network based architecture is presented which reaches an accuracy as high as 95.4 %. All the results have been achieved on a new challenging dataset of 36 everyday household materials. In a thorough human performance experiment with 15 subjects we show that the human performance is significantly lower than the robot's performance for both tactile tasks.

    F: Angewandte Wirtschaftswissenschaften

    Beitrag (Sammelband oder Tagungsband)

    M. Fink, Wolfgang Nagl

    Austria: How social protection rules affect self-employed and independent contractors

    The future of social protection, Paris

    2018

    ISBN: 9789264306943

    DigitalF: Angewandte InformatikS: TC Grafenau

    Beitrag (Sammelband oder Tagungsband)

    Rainer Bomeisl, Magdalena Gruber

    Projekt "Digitales Dorf Südbayern"

    Nachbarn mit Zukunft

    2018

    MobilF: Europan Campus Rottal-Inn

    Beitrag (Sammelband oder Tagungsband)

    Katerina Volchek, H. Song, R. Law, D. Buhalis

    Forecasting London Museum Visitors Using Google Trends Data

    Proceedings of the ENTER2018 eTourism Conference

    2018

    Abstract anzeigen

    Information search is an indicator of tourist interest in a specificservice and potential purchase decision. User online search patterns are a well-known toolfor forecasting pre-trip consumerbehaviour, such as hotel demand and international tourist arrivals. However, the potential of search engine data for estimating thedemand for tourist attractions, which is created both before and during a trip, remains underexplored. This research note investigates the relationships between Google search queries for the most popular London museums and actual visits to theseattractions. Preliminary findings indicatehigh correlation between monthly series data. Search query data isexpected togenerate reliable forecasts ofvisits toLondon museums.