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Suche nach „[2017]“ hat 224 Publikationen gefunden
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    DigitalAngewandte Informatik

    Zeitschriftenartikel

    Patrick Glauner, J. Meira, P. Valtchev, R. State, F. Bettinger

    The Challenge of Non-Technical Loss Detection Using Artificial Intelligence: A Survey

    International Journal of Computational Intelligence Systems, vol. 10, no. 1, pp. 760-775

    2017

    DOI: 10.2991/ijcis.2017.10.1.51

    Abstract anzeigen

    Detection of non-technical losses (NTL) which include electricity theft, faulty meters or billing errors has attracted increasing attention from researchers in electrical engineering and computer science. NTLs cause significant harm to the economy, as in some countries they may range up to 40% of the total electricity distributed. The predominant research direction is employing artificial intelligence to predict whether a customer causes NTL. This paper first provides an overview of how NTLs are defined and their impact on economies, which include loss of revenue and profit of electricity providers and decrease of the stability and reliability of electrical power grids. It then surveys the state-of-the-art research efforts in a up-to-date and comprehensive review of algorithms, features and data sets used. It finally identifies the key scientific and engineering challenges in NTL detection and suggests how they could be addressed in the future.

    NachhaltigTC Hutthurm

    Zeitschriftenartikel

    Sebastian Kölbl, J. Leßlhumer, A. Haider, O. Brüggemann, W. Buchberger

    Oxidationsinduktionszeit - dass passende Qualitätskriterium für WPC-Terrassendielen?

    holztechnologie, vol. 58, no. 2, pp. 38-45

    2017

    Abstract anzeigen

    Over the last years the popularity and approval of wood-polymer composites (WPC) are growing. Particularly in the field of terrace deckings the produced amounts have increased considerably. Outdoor applications lead to the questions of durability of these bio-composites. Therefore, in this work the determination of the oxidation induction time (OIT) as a possible quality criterion for WPC was evaluated. For this purpose, WPC-profiles were produced via direct-extrusion, with different amounts of additives. The produced profiles were treated by artificial weathering and examined continuously. In the course of the work, numerous influencing factors on the measurement were revealed and it was shown that an initial high OIT-value is no warranty for a long-lasting product. Parallelly conducted high-performance liquid chromatography (HPLC) measurements revealed what kind of additive has the biggest influence on the oxidation induction time and to what extent the amount of additives in the bio-composite is decreased by artificial weathering. In den letzten Jahren erfreut sich der Werkstoff WPC zunehmender Beliebtheit und Akzeptanz. Vor allem im Bereich der Terrassendielen (sogenannte "Deckings") sind die produzierten Mengen deutlich angestiegen. Die Anwendung im Außenbereich wirft aber auch die Frage der Dauerhaftigkeit dieser Bio-Composite auf. In der vorliegenden Arbeit wurde daher die Bestimmung der Oxidationsinduktionszeit als ein mögliches Qualitätskriterium für WPC unter die Lupe genommen. Dazu wurden WPC-Profile ohne und mit Additiven mittels Direktextrusion hergestellt, künstlich bewittert und fortlaufend untersucht. Dabei wurden zahlreiche Einflussfaktoren auf die OIT-Messung aufgezeigt sowie dargestellt, dass ein anfänglich hoher OIT-Wert keine Garantie für ein langlebiges Produkt ist. Durch HPLC-Messungen wurde des Weiteren nachgewiesen, welche Additive großen Einfluss auf die Oxidationsinduktionszeit haben und in welchem Maße diese durch UV-Bestrahlung und Beregnung abgebaut werden. Schlüsselwörter: Dauerhaftigkeit, Antioxidationsmittel, UV-Stabilisierung, Oxidationsinduktionszeit, Hochleistungsflüssigchromatographie

    NachhaltigTC Teisnach 2 Sensorik

    Patent

    Günther Ruhl, K. Pruegl

    Method for processing a carrier

    2017

    GesundEuropan Campus Rottal-Inn

    Zeitschriftenartikel

    I. Meyhöfer, M. Steffens, E. Faiola, Anna-Maria Kasparbauer, V. Kumari, U. Ettinger

    Combining two model systems of psychosis: The effects of schizotypy and sleep deprivation on oculomotor control and psychotomimetic states

    Psychophysiology, vol. 54, no. 11, pp. 1755-1769

    2017

    DOI: 10.1111/psyp.12917

    Abstract anzeigen

    Model systems of psychosis, such as schizotypy or sleep deprivation, are valuable in informing our understanding of the etiology of the disorder and aiding the development of new treatments. Schizophrenia patients, high schizotypes, and sleep‐deprived subjects are known to share deficits in oculomotor biomarkers. Here, we aimed to further validate the schizotypy and sleep deprivation models and investigated, for the first time, their interactive effects on smooth pursuit eye movements (SPEM), prosaccades, antisaccades, predictive saccades, and measures of psychotomimetic states, anxiety, depression, and stress. To do so, n  = 19 controls and n  = 17 high positive schizotypes were examined after both a normal sleep night and 24 h of sleep deprivation. Schizotypes displayed higher SPEM global position error, catch‐up saccade amplitude, and increased psychotomimetic states. Sleep deprivation impaired SPEM, prosaccade, antisaccade, and predictive saccade performance and increased levels of psychotomimetic experiences. Additionally, sleep deprivation reduced SPEM gain in schizotypes but not controls. We conclude that oculomotor impairments are observed in relation to schizotypy and following sleep deprivation, supporting their utility as biomarkers in model systems of psychosis. The combination of these models with oculomotor biomarkers may be particularly fruitful in assisting the development of new antipsychotic or pro‐cognitive drugs.

    GesundEuropan Campus Rottal-Inn

    Zeitschriftenartikel

    U. Ettinger, E. Faiola, Anna-Maria Kasparbauer, N. Petrovsky, Chan, R. C. K., R. Liepelt, V. Kumari

    Effects of nicotine on response inhibition and interference control

    Psychopharmacology, vol. 234, pp. 1093-1111

    2017

    DOI: 10.1007/s00213-017-4542-8

    Abstract anzeigen

    Nicotine is a cholinergic agonist with known pro-cognitive effects in the domains of alerting and orienting attention. However, its effects on attentional top-down functions such as response inhibition and interference control are less well characterised. Here, we investigated the effects of 7 mg transdermal nicotine on performance on a battery of response inhibition and interference control tasks. A sample of N = 44 healthy adult non-smokers performed antisaccade, stop signal, Stroop, go/no-go, flanker, shape matching and Simon tasks, as well as the attentional network test (ANT) and a continuous performance task (CPT). Nicotine was administered in a within-subjects, double-blind, placebo-controlled design, with order of drug administration counterbalanced. Relative to placebo, nicotine led to significantly shorter reaction times on a prosaccade task and on CPT hits but did not significantly improve inhibitory or interference control performance on any task. Instead, nicotine had a negative influence in increasing the interference effect on the Simon task. Nicotine did not alter inter-individual associations between reaction times on congruent trials and error rates on incongruent trials on any task. Finally, there were effects involving order of drug administration, suggesting practice effects but also beneficial nicotine effects when the compound was administered first. Overall, our findings support previous studies showing positive effects of nicotine on basic attentional functions but do not provide direct evidence for an improvement of top-down cognitive control through acute administration of nicotine at this dose in healthy non-smokers.

    DigitalBauingenieurwesen und Umwelttechnik

    Vortrag

    Gerd Maurer

    Fabrik 4.0: Fabrik der Zukunft – Zukunft der Fabrikplanung

    Talk

    2017

    DigitalBauingenieurwesen und Umwelttechnik

    Vortrag

    Gerd Maurer

    Bauindustrie 4.0 – Digitale Transformation

    Talk

    2017

    DigitalBauingenieurwesen und Umwelttechnik

    Vortrag

    Gerd Maurer

    Einsatz von B.I.M. in der Industrieplanung und -realisierung: Praktische Erfahrungen und Ausblick in die Zukunft

    Talk

    Erfahrungsaustausch Industriebau, München

    2017

    DigitalBauingenieurwesen und Umwelttechnik

    Vortrag

    Gerd Maurer

    Einsatz von B.I.M. in der Industrieplanung und -realisierung: Praktische Erfahrungen und Ausblick in die Zukunft

    Talk

    Erfahrungsaustausch Industriebau, Stuttgart

    2017

    DigitalAngewandte Informatik

    Zeitschriftenartikel

    Gökçe Aydos, G. Fey

    Empirical results on parity-based soft error detection with software-based retry

    Microprocessors and Microsystems, vol. 48, no. February, pp. 62-68

    2017

    DOI: 10.1016/j.micpro.2016.09.009

    Abstract anzeigen

    Local triple modular redundancy (LTMR) is often the first choice to harden the FFs of a flash-based FPGA application against radiation-induced bitflips in space, but LTMR leads to an area overhead of roughly 300%. To cope with this significant overhead, we propose an error detection based approach. In this work, we compare parity-based error detection with software-based retry, and LTMR on a reference architecture regarding maximum frequency, area overhead and processing time. Our results show that our solution based on parity-based error-detection saves from 29% up to 36% of the area overhead caused by LTMR.

    Angewandte Wirtschaftswissenschaften

    Buch (Monographie)

    Wolfgang Nagl, G. Titelbach, K. Valkova

    Digitalisierung der Arbeit: Substituierbarkeit von Berufen im Zuge der Automatisierung durch Industrie 4.0

    Studie im Auftrag des Sozialministeriums

    2017

    Angewandte Wirtschaftswissenschaften

    Buch (Monographie)

    S. Loretz, M.-B. Brandl, S. Koch, Wolfgang Nagl, G. Titelbach

    Evaluierung der Mehrwertsteueränderung im Zuge der Steuerreform 2015/16

    Studie im Auftrag des Bundesministeriums für Finanzen (unveröffentlicht)

    2017

    Angewandte Wirtschaftswissenschaften

    Buch (Monographie)

    B. Bittschi, B. Brandl, H. Hofer, S. Koch, Wolfgang Nagl, R. Sellner

    Zukunft der Steuern in Österreich - Mittelfristige Projektion der Lohn-, Einkommen-, Körperschaft- und Umsatzsteuer

    Studie im Auftrag des Bundesministeriums für Finanzen (unveröffentlicht)

    2017

    Angewandte Wirtschaftswissenschaften

    Zeitschriftenartikel

    S. Müllbacher, Wolfgang Nagl

    Labour supply in Austria: an assessment of recent developments and the effects of a tax reform

    Empirica - Journal of European Economics, vol. 44, no. 3, pp. 465-486

    2017

    DOI: 10.1007/s10663-017-9373-7

    Abstract anzeigen

    We apply a structural discrete choice framework to estimate income-specific own-wage and cross-wage labour supply elasticities in regard to working hours and participation for married and single males and females in Austria. We use data from the Austrian components of the European Statistics of Income and Living Conditions from 2004 to 2012. Own-wage elasticities are very small for males and slightly higher for females. Cross-wage elasticities are practically zero for males and slightly negative for females. Male and female own-wage elasticities decrease with higher incomes. Over time female labour supply elasticities decrease. Furthermore, we assess the labour supply and fiscal effects of the Austrian tax reform of 2016. We find a total increase in working hours by 0.71%. The labour supply effects are stronger on the intensive margin, for females and for low-income earners. On total the tax reform induces a tax relief of 4.7 billion Euros. The positive effects on tax burden and disposable income increase with the individual income.

    DigitalAngewandte WirtschaftswissenschaftenTC Grafenau

    Zeitschriftenartikel

    Michael Scholz, J. Pfeiffer, F. Rothlauf

    Using PageRank for non-personalized default rankings in dynamic markets

    European Journal of Operational Research, vol. 260, no. 1, pp. 388-401

    2017

    DOI: 10.1016/j.ejor.2016.12.022

    Abstract anzeigen

    Default ranking algorithms are used to generate non-personalized product rankings for standard consumers, for example, on landing pages of online stores. Default rankings are created without any information about the consumers’ preferences. This paper proposes using the product centrality ranking algorithm (PCRA), which solves some problems of existing default ranking algorithms: Existing approaches either have low accuracy, because they rely on only one product attribute, or they are unable to estimate ranks for new or updated products, because they use past consumer behavior, such as previous sales or ratings. The PCRA uses the PageRank centrality of products in a product domination graph to determine their ranks. The product domination graph models products as nodes and the dominance relations between the products’ attribute levels as edges. In a laboratory experiment with three product categories (energy saving lamps, hotel rooms, and washing machines), the PCRA leads to more accurate rankings than existing approaches provide. The PCRA ranks the lamps and washing machines that consumers prefer up to 1.5 positions higher in the default ranking than any of the existing algorithms. Only sorting hotel rooms’ price in ascending order beats the PCRA. Price is by far the most important attribute of hotel rooms for our consumer sample; therefore, a ranking that only considers price can beat a multi-attribute ranking like the PCRA, which assumes equal attribute weights. In summary, the PCRA is especially applicable to products where consumers consider more than one attribute and in markets where the product assortments change constantly.

    DigitalAngewandte WirtschaftswissenschaftenTC Grafenau

    Zeitschriftenartikel

    Michael Scholz, M. Franz, O. Hinz

    Effects of decision space information on MAUT-based systems that support purchase decision processes

    Decision Support Systems, vol. 97, no. May, pp. 43-57

    2017

    DOI: 10.1016/j.dss.2017.03.004

    Abstract anzeigen

    This paper shows that decision makers often have a misconception of the decision space. The decision space is constituted by the relations among the attributes describing the alternatives available in a decision situation. The paper demonstrates that these misconceptions negatively affect the usage and perceptions of MAUT-based decision support systems. To overcome these negative effects, this paper proposes to use a visualization method based on singular value decomposition to give decision makers insights into the attribute relations. In a laboratory experiment in cooperation with Germany's largest Internet real estate website, this paper moreover evaluates the proposed solution and shows that our solution improves decision makers' usage and perceptions of MAUT-based decision support systems. We further show that information about the decision space ultimately affects variables relevant for the economic success of decision support system providers such as reuse intention and the probability to act as a promoter for the systems.

    DigitalAngewandte WirtschaftswissenschaftenTC Grafenau

    Zeitschriftenartikel

    Michael Scholz, V. Dorner, G. Schryen, A. Benlian

    A configuration-based recommender system for supporting e-commerce decisions

    European Journal of Operational Research, vol. 259, no. 1, pp. 205-215

    2017

    DOI: 10.1016/j.ejor.2016.09.057

    Abstract anzeigen

    Multi-attribute value theory (MAVT)-based recommender systems have been proposed for dealing with issues of existing recommender systems, such as the cold-start problem and changing preferences. However, as we argue in this paper, existing MAVT-based methods for measuring attribute importance weights do not fit the shopping tasks for which recommender systems are typically used. These methods assume well-trained decision makers who are willing to invest time and cognitive effort, and who are familiar with the attributes describing the available alternatives and the ranges of these attribute levels. Yet, recommender systems are most often used by consumers who are usually not familiar with the available attributes and ranges and who wish to save time and effort. Against this background, we develop a new method, based on a product configuration process, which is tailored to the characteristics of these particular decision makers. We empirically compare our method to SWING, ranking-based conjoint analysis and TRADEOFF in a between-subjects laboratory experiment with 153 participants. Results indicate that our proposed method performs better than TRADEOFF and CONJOINT and at least as well as SWING in terms of recommendation accuracy, better than SWING and TRADEOFF and at least as well as CONJOINT in terms of cognitive load, and that participants were faster with our method than with any other method. We conclude that our method is a promising option to help support consumers’ decision processes in e-commerce shopping tasks.

    DigitalAngewandte WirtschaftswissenschaftenTC Grafenau

    Zeitschriftenartikel

    Michael Scholz

    Estimating demand function parameters of mobile applications

    Economics of Innovation and New Technology, vol. 26, no. 7, pp. 621-633

    2017

    DOI: 10.1080/10438599.2017.1263444

    Abstract anzeigen

    The vibrant market for mobile applications has raised awareness of several professional and also voluntary software developers. The key question especially for professional developers is how to improve the profit gained with a developed app. Recent research provided evidence on the factors that determine the demand of a mobile app. This paper presents a procedure to estimate demand function parameters that are required for developing pricing, advertising and also product update strategies. More specifically, the procedure estimates an app’s maximal willingness to pay, demand elasticity on price and network value. The procedure is based on the Fulfilled Expectations Cournot Model and requires knowledge about the apps being considered as substitutes to each other. It is applied to a data set consisting of download rank data of Apple iPhone apps.

    DigitalAngewandte WirtschaftswissenschaftenTC Grafenau

    Zeitschriftenartikel

    O. Ivanova, Michael Scholz

    How can online marketplaces reduce rating manipulation? A new approach on dynamic aggregation of online ratings

    Decision Support Systems, vol. 104, no. December, pp. 64-78

    2017

    DOI: 10.1016/j.dss.2017.10.003

    Abstract anzeigen

    Retailers' incentives to manipulate online ratings can undermine consumers' trust in online marketplaces. Finding ways to avoid fake ratings has become a fundamental problem. Most marketplaces update product ratings immediately, i.e., display new ratings as soon as they are submitted. Some platforms have proposed to reduce the frequency of rating updates, as hiding ratings for a certain amount of time allows identifying and eliminating bursts of suspicious ratings. Reducing the update frequency also allows aggregating ratings and displaying only a summary statistic (e.g., mean of ratings). Although such aggregation helps to reduce the amount of fake ratings, as multiple fake ratings get represented by only one value, it might also distort legitimate ratings from real customers and hence have negative impact on honest retailers. In the present study, we propose and evaluate a novel method that instead of displaying every new rating immediately, aggregates a sequence of most recent ratings to k-values, with k determined dynamically based on the distribution of the recent ratings. In a simulation, we demonstrate that our proposed method outperforms state-of-the-art aggregation methods – it effectively reduces the impact of fake ratings on sales, and at the same time only marginally affects sales of honest retailers. Our proposed method can be easily integrated in online rating systems and can be especially used for designing fraud-resistant ranking algorithms.

    DigitalDEG-DLM1IQW

    Zeitschriftenartikel

    Andreas Gegenfurtner, Lina Spagert, Gabriele Weng, Christine Bomke, Karina Fisch, Andreas Oswald, Martina Reitmaier-Krebs, Christine Resch, Nina Schwab, Wolfgang Stern, Alexander Zitt

    LernCenter: Ein Konzept für die Digitalisierung berufsbegleitender Weiterbildungen an Hochschulen

    Bavarian Journal of Applied Sciences, vol. 3, no. 1, pp. 261-276

    2017

    DOI: 10.25929/z26v-0x88

    Abstract anzeigen

    m Zuge der Digitalisierung akademischer Lehre öffnet eine wachsende Zahl an Hochschulen ihre Lehr- und Studienangebote für nicht-traditionell Studierende und konzipiert entsprechende berufsbegleitende Weiterbildungen bzw. Studiengänge mit Anteilen an E-Learning und Blended Learning. Dabei stellen sowohl die Digitalisierung wie auch die Zielgruppe der nicht-traditionell Studierenden manche Hochschulen vor didaktische Herausforderungen. Um diesen Herausforderungen digitalisierter Bildung zu begegnen, wurde im Rahmen des Forschungsprojekts DEG-DLM (Deggendorfer Distance Learning Modell) das LernCenter-Konzept entwickelt. LernCenter integrieren die Vorteile von Präsenzveranstaltungen, Webkonferenzen und digitalen Selbstlernphasen. Das Ziel dieses Artikels ist, das Konzept des LernCenters als Antwort auf die didaktischen Herausforderungen in der Weiterbildungspraxis mit nicht-traditionell Studierenden, die im Zuge einer zunehmenden Digitalisierung akademischer Lehre an die Hochschulen kommen und an den dortigen Lehr- und Studienangeboten partizipieren, vorzustellen sowie deren Bedarfe aufzuzeigen. Der Artikel vergleicht zuerst verschiedene didaktische Lehrformate. Danach werden didaktische und technische Elemente des LernCenter-Konzepts näher beschrieben. Abschließend situieren zwei Beispiele berufsbegleitender Studienangebote für nicht-traditionell Studierende das LernCenter-Konzept in der Praxis virtueller Lehre an Hochschulen. In the wake of digitizing their academic teaching, an increasing number of colleges and universities worldwide develop on-the-job training and degree programmes for non-traditional students incorporating elements of e-learning and blended learning. At the same time, the teaching practices at some higher education institutes are challenged by the digitization process as well as the characteristics of the group of non-traditional students. To respond to the specific challenges of digitized education, the concept of LernCenters was developed within the realms of the research project DEG-DLM (Deggendorf Distance Learning Model). LernCenters combine the elements of classroom teaching, webinars, and virtual self-directed learning opportunities. The aim of this paper is to present the LernCenter concept as a response to the didactic challenges higher education institutes face as non-traditional students and training participants enter technology-enhanced training and degree programs in higher education. First, this article compares different teaching formats. Second, didactic and technical elements of the LernCenter concept are described. And finally, two examples of university-based training and degree programs are used to contextualize the concept of LernCenters for on-the-job virtual teaching of non-traditional students in higher education.