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Suche nach „[TC Grafenau]“ hat 212 Publikationen gefunden

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Digital Angewandte Informatik TC Grafenau

Beitrag (Sammelband oder Tagungsband)

Sebastian Wilhelm, A. Gerl

Policy-based Authentication and Authorization based on the Layered Privacy Language

Workshopband zur 18. Fachtagung "Datenbanksysteme für Business, Technologie und Web"

2019

DOI: 10.18420/btw2019-ws-25

Abstract anzeigen

In 2018 the General Data Protection Regulation (GDPR) has been enforced providing a new legal framework with rules and regulations for processing personal data. The requirement for distinguishing between purposes has been introduced, leading to the necessity of adapting existing authentication and authorization processes. We introduce a detailed authentication and authorization extension, which is able to verify requests on personal data based on the Layered Privacy Language (LPL). This extension is evaluated in the form of a benchmark, utilizing the Policy-based De-identification, to demonstrating its efficiency and suitability for data-warehouses.

Digital Nachhaltig Angewandte Informatik Angewandte Wirtschaftswissenschaften TC Grafenau

Vortrag

Ali Fallah Tehrani

Echtzeit-Fehlererkennung und Verbesserung der Produktionsqualität in der Glasindustrie durch künstliche Intelligenz

Posterpräsentation

6. Tag der Forschung, Deggendorf

2019

Digital Nachhaltig Angewandte Informatik Angewandte Wirtschaftswissenschaften TC Grafenau

Vortrag

Florian Wahl

Wieviel Personal brauche ich morgen? Nachfrageprognose in der Stückgutlogistik

Posterpräsentation

6. Tag der Forschung, Deggendorf

2019

Digital Nachhaltig Angewandte Informatik Angewandte Wirtschaftswissenschaften TC Grafenau

Vortrag

Christian Kluge

Ist noch genug Bier im Haus? Datenbasierte Nachfrageprognose im Getränkehandel

Posterpräsentation

6. Tag der Forschung, Deggendorf

2019

Digital Angewandte Informatik Angewandte Wirtschaftswissenschaften TC Grafenau

Vortrag

Bernhard Bauer

Der Weg ist das Ziel: Analyse von Lagerbewegungen in der fertigenden Industrie

Posterpräsentation

6. Tag der Forschung, Deggendorf

2019

Digital Gesund Angewandte Informatik Angewandte Wirtschaftswissenschaften TC Grafenau

Vortrag

Pascal Krückl

Projekt MediLand

Posterpräsentation

6. Tag der Forschung, Deggendorf

2019

Digital Nachhaltig Angewandte Informatik Angewandte Wirtschaftswissenschaften TC Grafenau

Vortrag

Florian Wahl

Wieviel Personal brauche ich morgen?

Best Presentation Award

6. Tag der Forschung, Deggendorf

2019

Digital Angewandte Wirtschaftswissenschaften TC Grafenau

Zeitschriftenartikel

M. Aggarwal, Ali Fallah Tehrani

Modelling Human Decision Behaviour with Preference Learning

INFORMS Journal on Computing, vol. 31, no. 2

2019

DOI: 10.1287/ijoc.2018.0823

Abstract anzeigen

Preferences provide a means for specifying the desires of a decision maker (DM) in a declarative way. In this paper, based on a DM’s pairwise preferences, we infer the DM’s unique decision model. We capture (a) the attitudinal character, (b) relative criteria importance, and (c) the criteria interaction, all of which are specific to the DM. We make use of the preference-learning (PL) technique to induce predictive preference models from empirical data. Because PL is emerging as a new subfield of machine learning, we could use standard machine-learning methods to accomplish our learning objective. We consider the DM’s exemplary preference information in the form of pairwise comparisons between alternatives as the training information. The DM’s decision model is captured in terms of (a), (b), and (c), through the parameters of an attitudinal Choquet integral operator. The proposed learning approach is validated through an experimental study on 16 standard data sets. The superiority of the proposed method in terms of predictive accuracy and easier interpretability is shown both theoretically as well as empirically.

Digital Nachhaltig 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

Digital Nachhaltig 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.

Digital Angewandte Wirtschaftswissenschaften TC Grafenau

Zeitschriftenartikel

Michael Scholz, J. Schnurbus, H. Haupt, V. Dorner, A. Landherr, F. Probst

Dynamic effects of user- and marketer-generated content on consumer purchase behavior: Modeling the hierarchical structure of social media websites

Decision Support Systems, vol. 113, no. September, pp. 43-55

2018

DOI: 10.1016/j.dss.2018.07.001

Abstract anzeigen

User- and marketer-generated content items on social media platforms are supposed to have an impact on economic target variables, such as variables measuring consumers' purchase behavior. The position of each content item – and thus the impact on economic variables – changes with newly appearing items. We propose a hierarchy score to capture the dynamics of the content items on social media platforms. In order to mimic the reduced visibility of earlier content items, our hierarchy score computes the position of content items based on the number of text line equivalents of content items above a particular item. Employing the proposed hierarchy score in a dynamic regression framework for data of a large online store yields improved estimates and predictions compared to a variety of other models.

Angewandte Informatik TC Grafenau

Vortrag

Bernhard Bauer

Prognose und Monitoring - Hilfe zur Selbsthilfe

Bioökonomie-Kongress, München

2018

Digital Angewandte Informatik TC Grafenau

Vortrag

Robert Hable

Statistische Daten in der Praxis: Zeitverschwendung oder Goldgrube?

2018

Digital Angewandte Informatik TC Grafenau