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Suche nach „[2019]“ hat 296 Publikationen gefunden
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    DigitalF: Europan Campus Rottal-Inn

    Zeitschriftenartikel

    H. Bangui, Mouzhi Ge, B. Buhnova

    A Research Roadmap of Big Data Clustering Algorithms for Future Internet of Things

    International Journal of Organizational and Collective Intelligence, vol. 9, no. 2, pp. 16-30

    2019

    DOI: 10.4018/IJOCI.2019040102

    Abstract anzeigen

    Due to the massive data increase in different Internet of Things (IoT) domains such as healthcare IoT and Smart City IoT, Big Data technologies have been emerged as critical analytics tools for analyzing the IoT data. Among the Big Data technologies, data clustering is one of the essential approaches to process the IoT data. However, how to select a suitable clustering algorithm for IoT data is still unclear. Furthermore, since Big Data technology are still in its initial stage for different IoT domains, it is thus valuable to propose and structure the research challenges between Big Data and IoT. Therefore, this article starts by reviewing and comparing the data clustering algorithms that can be applied in IoT datasets, and then extends the discussions to a broader IoT context such as IoT dynamics and IoT mobile networks. Finally, this article identifies a set of research challenges that harvest a research roadmap for the Big Data research in IoT domains. The proposed research roadmap aims at bridging the research gaps between Big Data and various IoT contexts.

    DigitalF: Angewandte Wirtschaftswissenschaften

    Buch (Monographie)

    Christian Mandl, S. Nadarajah, S. Minner, S. Gavirneni

    Structured Data-Driven Operating Policies for Commodity Storage

    2019

    Abstract anzeigen

    Storage assets are critical for temporal trading of commodities under volatile prices. State-of-the-art methods for managing storage such as the reoptimization heuristic (RH), which are part of commercial software, approximate a Markov decision process (MDP) assuming full information regarding the state and the stochastic commodity price process and hence suffer from informational inconsistencies with observed price data and structural inconsistencies with the true optimal policy, which are both components of generalization error. Based on extensive backtests, we find that this error can lead to significantly suboptimal RH policies and qualitatively different performance compared to the known near-optimality and behavior of RH in the full-information setting. We develop a forward-looking data-driven approach (DDA) to learn policies and overcome generalization error. This approach extends standard (backward-looking) DDA in two ways: (i) it uses financial-market features and estimates of future prots as part of the training objective, which typically includes past prots alone; and (ii) it enforces structural properties of the optimal policy. To elaborate, DDA trains parameters of bang-bang and base-stock policies, respectively, by solving linear-and mixed-integer programs, thereby extending known DDAs that parameterize decisions as functions of features without enforcing policy structure. We backtest the performance of DDA and RH on six major commodities from 2000 to 2017 with features constructed using Thomson Reuters and Bloomberg data. DDA significantly improves RH on real data, with base-stock structure needed to realize this improvement. Our research advances the state-of-the-art for storage operations and suggests modifications to commercial software to handle generalization error.

    DigitalNachhaltigF: Europan Campus Rottal-Inn

    Zeitschriftenartikel

    C. Müller, T. Falke, A. Hoffrichter, L. Wyrwoll, C. Schmitt, M. Trageser, A. Schnettler, M. Metzger, Matthias Huber, M. Küppers, D. Most, S. Paulus, H. Heger

    Integrated Planning and Evaluation of Multi-Modal Energy Systems for Decarbonization of Germany

    Energy Procedia, vol. 158, no. February, pp. 3482-3487

    2019

    DOI: 10.1016/j.egypro.2019.01.923

    Abstract anzeigen

    For a successful realization of the energy transition and a reduction of greenhouse gas emissions, an integrated view of multiple energy sectors (electricity, heat and mobility) is necessary. The coupling of different energy sectors is seen as an option to achieve the climate goals in a cost-effective way. In this paper, a methodical approach for multi-modal energy system planning and technology impact evaluation is presented. A key feature of the model is a coupled consideration of sectors electricity, heat and mobility. Energy demands, conversion and storage technologies in households, the Commerce, Trade and Services (CTS) area and the industry are modelled employing a bottom-up modelling approach. The model can be used for the calculation of a detailed transition pathway of energy systems taking into account politically defined climate goals. Based on these calculations, in-depth analyses of energy markets as well as transmission and distribution grids can be performed.

    DigitalNachhaltigF: Europan Campus Rottal-Inn

    Zeitschriftenartikel

    C. Müller, A. Hoffrichter, L. Wyrwoll, C. Schmitt, M. Trageser, T. Kulms, D. Beulertz, M. Metzger, M. Durckheim, Matthias Huber, M. Küppers, D. Most, S. Paulus, H. Heber, A. Schnettler

    Modeling framework for planning and operation of multi-modal energy systems in the case of Germany

    Applied Energy, vol. 250, no. 15 September 2019, pp. 1132-1146

    2019

    DOI: 10.1016/j.apenergy.2019.05.094

    Abstract anzeigen

    In order to reach the goals of the United Nations Framework Convention on Climate Change, a stepwise reduction of energy related greenhouse gas emissions as well as an increase in the share of renewable energies is necessary. For a successful realization of these changes in energy supply, an integrated view of multiple energy sectors is necessary. The coupling of different energy sectors is seen as an option to achieve the climate goals in a cost-effective way. In this paper, a methodical approach for multi-modal energy system planning and technology impact evaluation is presented. A key feature of the model is a coupled consideration of the sectors electricity, heat, fuel and mobility. The modeling framework enables system planners to optimally plan future investments in a detailed transition pathway of the energy system of a country, considering politically defined climate goals. Based on these calculations, in-depth analyses of energy markets as well as electrical transmission and distribution grids can be performed using the presented optimization models. Energy demands, conversion and storage technologies in households, the Commerce, Trade and Services (CTS) area and the industry are modeled employing a bottom-up modeling approach. The results for the optimal planning of the German energy system until 2050 show that the combination of an increased share of renewable energies and the direct electrification of heat and mobility sectors together with the use of synthetic fuels are the main drivers to achieve the climate goals in a cost-efficient way.

    NachhaltigS: TC Teisnach Sensorik

    Patent

    Günther Ruhl, G. Lippert, H.-J. Schulze, T. Zimmer

    Method of manufacturing a semiconductor device having graphene material

    2019

    DigitalI: Zentrum für Akademische WeiterbildungP: DEG-DLM2

    Buch (Monographie)

    Christian Ebner

    Bericht Begleitforschung Hochschulzertifikat „Data Analytics“

    2019

    F: Angewandte Wirtschaftswissenschaften

    Zeitschriftenartikel

    Hanjo Allinger

    Ehegattensplitting sinnvoll reformieren

    Wirtschaftsdienst - Zeitschrift für Wirtschaftspolitik, no. 7, pp. 494-496

    2019

    GesundF: Europan Campus Rottal-Inn

    Vortrag

    Georgi Chaltikyan

    Digital Health Revolution: Has the Future of Medicine Arrived Yet?

    Keynote

    7th IEEE International Conference on e-Health and Bioengineering (EHB): Smarter technology for a better health, Iași, Romania

    2019

    Extern

    Ralf Alefs

    Praktiker-Kommentar Umsatzsteuer

    2019

    ISBN: 978-3-95554-426-3

    GesundF: Angewandte Gesundheitswissenschaften

    Zeitschriftenartikel

    Mareike Hechinger, A. Büscher

    Pflegerische Beziehung im ambulanten Pflegesetting

    QuPuG - Journal für Qualitative Forschung in Pflege- und Gesundheitswissenschaft, vol. 6, no. 2, pp. 82-91

    2019

    Abstract anzeigen

    Die Beziehungsgestaltung zwischen Pflegenden und pflegebedürftigen Menschen ist ein wichtiger Aspekt der ambulanten Pflege, der bislang kaum erforscht ist. In einer qualitativen Studie wurde die pflegerische Beziehungsgestaltung im deutschen, ambulanten Pflegesetting untersucht. Die Studie orientierte sich an den Prinzipien der Grounded-Theory nach Strauss und Corbin. Acht Interviews mit beruflich Pflegenden und 24 teilnehmende Beobachtungen wurden durchgeführt. Dem Ergebnis zufolge investieren Pflegende zu Beginn in den Beziehungsaufbau, um einen Zugang zum Gegenüber zu erhalten und förderliche sowie hinderliche Einflussfaktoren auf die Beziehung auszubalancieren. Die Ausrichtung der Beziehung auf dieser Ebene ist funktional in enger Anlehnung an pflegerische Tätigkeiten. Ausgehend von einem erfolgreichen Beziehungsaufbau auf der funktionalen Ebene können Pflegende optional die Beziehung auf einer menschlich-privaten Ebene gestalten. Diese ist geprägt von Reziprozität, dem Zeigen von Gefühlen und verstärktem Sich privat involvieren. Die Ergebnisse zeigen, dass es einer Sensibilisierung der Pflegepraxis für Beziehungsentwicklung bedarf. Es gilt, bereits in der Ausbildung Fähigkeiten zur Reflexion und Abgrenzung zu fördern, damit Pflegende Beziehungen bewusst gestalten lernen.

    GesundF: Angewandte Gesundheitswissenschaften

    Zeitschriftenartikel

    Mareike Hechinger, H. Mayer, A. Fringer

    Kenneth Gergen’s concept of multi-being: an application to the nurse-patient relationship

    Medicine, Health Care and Philosophy, vol. 22, no. Published: 15 April 2019, pp. 599-611

    2019

    DOI: 10.1007/s11019-019-09897-4

    Abstract anzeigen

    The nurse–patient relationship is of great significance for both nurses and patients. The purpose of this article is to gain an understanding of how the individual is constituted through a focus on the execution of the patient’s and nurse’s role in the joint relationship. The article represents a social-constructionist consideration using Kenneth Gergen’s concept of multi-being. Gergen’s notions of the self as a multi-being focuses on the individual’s relational character through former relationships and social interactions. Gergen’s concept is applied onto nurses and patients as individuals to gain an understanding of the broader institutional and social context of each role and their interactions within the nurse–patient relationship. The article focuses on the nurse–patient relationship in general with regard to specific challenges in the home care setting. Various demands and experiences from a myriad of past relationships merge as potential actions for nurses and patients during the forming of a relationship. Nurses as multi-beings see themselves confronted with guidelines and legal conditions, their own as well as the patients’ expectations and the actual possible forming of a relationship in the light of daily nursing care. Patients as multi-beings experience an extended social environment that comprises the nurse–patient relationship while simultaneously having to cope with illness and increasing care dependency within their own homes. Discrepancies can be observed in the relationship with regard to the inherent human qualities, the demands of forming a relationship, and the actual relationship arising due to framework conditions.

    DigitalS: TC Parsberg/Lupburg

    Vortrag

    Anton Schmailzl, Korbinian Schröcker, Ludwig Gansauge, Andrey Prihodovsky

    Potenziale von hybriden Fertigungsprozessketten

    1. TRIOKON 2019 – Die ostbayerische Transferkonferenz für Wirtschaft, Wissenschaft und Gesellschaft, Regensburg

    2019

    DigitalNachhaltigExtern

    Zeitschriftenartikel

    Johannes Käsbauer, Anton Schmailzl, U. Weber, S. Hierl, T. Jaus, M. Schwalme

    Simulationsgestütze Evaluierung von Strahloszillationsmustern beim quasi-simultanen Laser-Durchstrahlschweißen.

    Joining Plastics - Fügen von Kunststoffen, no. 2, pp. 102-109

    2019

    NachhaltigF: Angewandte Naturwissenschaften und WirtschaftsingenieurwesenS: IPH Teisnach

    Patent

    Christian J. Trum, Sebastian Sitzberger

    Akkubetriebene Ultraschall-Handbohrmaschine sowie Verfahren zum Betreiben einer solchen Ultraschall-Handbohrmaschine

    2019

    NachhaltigF: Angewandte Naturwissenschaften und WirtschaftsingenieurwesenS: IPH Teisnach

    Patent

    Sebastian Sitzberger, Christian J. Trum, Michael Benisch

    Ultraschall-Handbohrmaschine und Verfahren zum Betreiben einer Ultraschall-Handbohrmaschine

    2019

    GesundF: Europan Campus Rottal-Inn

    Zeitschriftenartikel

    I. Meyhöfer, Anna-Maria Kasparbauer, M. Steffens, U. Ettinger

    Effects of nicotine on smooth pursuit eye movements in healthy non-smokers

    Psychopharmacology, vol. 236, pp. 2259-2271

    2019

    DOI: 10.1007/s00213-019-05223-1

    Abstract anzeigen

    Rationale The non-selective nicotinic acetylcholine receptor (nAChR) agonist nicotine has been argued to improve attention via enhanced filtering of irrelevant stimuli. Here, we tested this hypothesis in the context of smooth pursuit eye movements (SPEMs), an oculomotor function previously shown to improve with nicotine in some but not all studies. Objectives In order to test whether nicotine improves performance particularly when the inhibition of distracting stimuli is required, SPEM was elicited in conditions with or without peripheral distractors. Additionally, different target frequencies were employed in order to parametrically vary general processing demands on the SPEM system. Methods Healthy adult non-smokers (N = 18 females, N = 13 males) completed a horizontal sinusoidal SPEM task at different target frequencies (0.2 Hz, 0.4 Hz, 0.6 Hz) in the presence or absence of peripheral distractors in a double-blind, placebo-controlled, cross-over design using a 2 mg nicotine gum. Results Nicotine increased peak pursuit gain relative to placebo (p < .001), but an interaction with distractor condition (p = .001) indicated that this effect was most pronounced in the presence of distractors. Catch-up saccade frequency was reduced by nicotine (p = .01), particularly at higher target frequencies (two-way interaction, p = .04). However, a three-way interaction (p = .006) indicated that the reduction with nicotine was strongest at the highest target frequency (0.6 Hz) only without distractors, whereas in the presence of distractors, it was strongest at 0.4-Hz target frequency. There were no effects of nicotine on subjective state measures. Conclusions Together, these findings support a role of both distractor inhibition and general processing load in the effects of nicotine on smooth pursuit.

    GesundF: Europan Campus Rottal-Inn

    Zeitschriftenartikel

    Anna-Maria Kasparbauer, N. Petrovsky, P.-M. Schmidt, P. Trautner, B. Weber, B. Sträter, U. Ettinger

    Effects of Nicotine and Atomoxetine on Brain Function During Response Inhibition

    European Neuropsychopharmacology, vol. 29, no. 2 (February), pp. 235-246

    2019

    DOI: 10.1016/j.euroneuro.2018.12.004

    Abstract anzeigen

    The nicotinic acetylcholine receptor (nAChR) agonist nicotine and the noradrenaline transporter inhibitor atomoxetine are widely studied substances due to their propensity to alleviate cognitive deficits in psychiatric and neurological patients and their beneficial effects on some aspects of cognitive functions in healthy individuals. However, despite growing evidence of acetylcholine-noradrenaline interactions, there are only very few direct comparisons of the two substances. Here, we investigated the effects of nicotine and atomoxetine on response inhibition in the stop-signal task and we characterised the neural correlates of these effects using blood oxygen level dependent (BOLD) functional magnetic resonance imaging (fMRI) at 3T. Nicotine (7 mg dermal patch) and atomoxetine (60 mg per os) were applied to N = 26 young, healthy adults in a double-blind, placebo-controlled, cross-over, within-subjects design. BOLD images were collected during a stop-signal task that controlled for infrequency of stop trials. There were no drug effects on behavioural performance or subjective state measures. However, there was a pronounced upregulation of activation in bilateral prefrontal and left parietal cortex following nicotine during successful compared to unsuccessful stop trials. The effect of nicotine on BOLD during failed stop trials was correlated across individuals with a measure of trait impulsivity. Atomoxetine, however, had no discernible effects on BOLD. We conclude that nicotine effects on brain function during inhibitory control are most pronounced in individuals with higher levels of impulsivity. This finding is compatible with previous evidence of nicotine effects on stop-signal task performance in highly impulsive individuals and implicates the nAChR in the neural basis of impulsivity.

    DigitalF: Angewandte WirtschaftswissenschaftenS: TC Grafenau

    Vortrag

    Frank Edenharter

    Geographie in der Praxis und der Digitalisierung

    Podiumsdiskussion im Rahmen der Institutsfeier des Geographischen Instituts der Universität Bayreuth, Bayreuth

    2019

    DigitalF: Angewandte WirtschaftswissenschaftenS: TC Grafenau

    Vortrag

    Frank Edenharter

    Digitales Dorf Bayern – Digitalisierung in der Regionalentwicklung mit den Bürgern für die Bürger

    5. Martini-Tagung Smarte Standorte, Friedberg

    2019