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Suche nach „[TC Grafenau] “ hat 203 Publikationen gefunden
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    DigitalNachhaltigTC Grafenau

    Zeitschriftenartikel

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

    Comparison of colorimeter and different portable food-scanners for non-destructive prediction of lycopene content in tomato fruit

    Postharvest Biology and Technology, vol. 167, no. September

    2020

    DOI: 10.1016/j.postharvbio.2020.111232

    Abstract anzeigen

    Lycopene, the red colored carotenoid in tomatoes, has various health benefits for humans due to its capability of scavenging free radicals. Traditionally, the quantification of lycopene requires an elaborate extraction process combined with HPLC analysis within the laboratory. Recent studies focused simpler methods for determining lycopene and utilized spectroscopic measurement methods. The aim of this study was to compare non-destructive methods for the prediction of lycopene by using color values from colorimeter measurements and Vis/NIR spectra recorded with three commercially available and portable Vis/NIR spectrometers, so called food-scanners. Tomatoes of five different ripening stages (green to red) as well as tomatoes stored up to 22 days after harvest were used for modeling. After measurement of color values and collection of Vis/NIR spectra the corresponding lycopene content was analyzed spectrophotometrically. Applying exponential regression models yielded very good prediction of lycopene for color values L*, a*, a*/b* and the tomato color index of 0.94, 0.90, 0.90 and 0.91, respectively. Color value b* was not a suitable predictor for lycopene content, whereas the (a*/b*)² value had the best linear fit of 0.87. In comparison to color measurements, the cross-validated prediction models developed for all three food-scanners had coefficients of determination (r²CV) ranging from 0.92 to 0.96. Food-scanners also can be used for additional measurements of internal fruit quality, and therefore have great potential for fruit quality assessment by measuring a multitude of important fruit traits in one single scan.

    DigitalAngewandte WirtschaftswissenschaftenTC Grafenau

    Vortrag

    Sebastian Wilhelm

    Activity Monitoring reusing Home Infrastructure Data

    Digital French-German Summer School with Industry 2020

    2020

    DigitalAngewandte WirtschaftswissenschaftenTC Grafenau

    Vortrag

    Dietmar Jakob

    Voice User Interfaces in the residential environment of elderly

    Digital French-German Summer School with Industry 2020

    2020

    DigitalAngewandte WirtschaftswissenschaftenTC Grafenau

    Beitrag (Sammelband oder Tagungsband)

    Sebastian Wilhelm, Dietmar Jakob, Diane Ahrens

    Human Presence Detection by monitoring the indoor CO2 concentration

    Tagungsband zur Konferenz Mensch und Computer 2020 (06.-09.09.2020; Magdeburg)

    2020

    Abstract anzeigen

    Presence detection systems are becoming more and more important and are used in smart home environments in the Ambient Assisted Living (AAL) domain or in surveillance technology. Common systems focus on using motion sensors or cameras which have only a limited viewing angle and therefore monitoring gaps can easily occur within a room. Humans produce carbon dioxide (CO2) through their respiration which is distributed in rooms. As a result if one (or more) persons are in a room a significant increase in CO2 concentration in the room can be noted. With this work we investigate an approach to detect the presence or absence of people indoors by monitoring the CO2 concentration in the ambient air.

    DigitalAngewandte WirtschaftswissenschaftenTC Grafenau

    Beitrag (Sammelband oder Tagungsband)

    Sebastian Wilhelm, Dietmar Jakob, Jakob Kasbauer, Melanie Dietmeier

    Organizational, Technical, Ethical and Legal Requirements of Capturing Household Electricity Data for Use as an AAL System

    Proceedings of the Fifth International Congress on Information and Communication Technology (ICPCCI 2019) [20-21 February 2020; London, UK]

    2020

    DOI: 10.1007/978-981-15-5856-6_38

    Abstract anzeigen

    Due to demographic change elderly care is one of the major challenges for society in near future fostering new services to support and enhance the life quality of the elderly generation. A particular aspect is the desire to live in one’s homes instead of hospitals and retirement homes as long as possible. Therefore it is essential to monitor the health status i.e. the activity of the individual. In our data-driven society data is collected at an increasing rate enabling personalized services for our daily life using machine-learning and data mining technologies. However the lack of labeled datasets from a realistic environment hampers research for training and evaluating algorithms. In the project BLADL we use data mining technologies to gauge the health status of elderly people. Within this work we discuss the challenges and caveats both from a technical and ethical perspectives to create such a dataset.

    DigitalAngewandte WirtschaftswissenschaftenTC Grafenau

    Beitrag (Sammelband oder Tagungsband)

    Dietmar Jakob, Sebastian Wilhelm

    Amazon Echo: A Benchmarking Model Review

    Proceedings of the 14th International Conference on Interfaces and Human Computer Interaction (23-25 July 2020; Zagreb, Croatia)

    2020

    Abstract anzeigen

    Smart speakers are becoming increasingly popular. The market leader for smart speakers are the products of the Echo family from Amazon. There are currently 9 different models with different technical specifications available in Germany. With this paper, the models was benchmarked against each other in terms of (i) speech recognition reliability, (ii) output sound pressure and (iii) power consumption in a laboratory experiment. Previous works in this area has only considered individual models of the product family. Significant differences in speech recognition accuracy, output sound pressure and power consumption were identified between the models. In general it was observed, that the Echo Show 8 model was the most efficient in terms of the above criterias.

    DigitalAngewandte WirtschaftswissenschaftenTC Grafenau

    Beitrag (Sammelband oder Tagungsband)

    Dietmar Jakob, Sebastian Wilhelm, A. Gerl

    Data Privacy Management (DPM) - A Private Household Smart Metering Use Case

    [Accepted for publication]

    Tagungsband zum 6. Usable Security und Privacy Workshop im Rahmen der Konferenz Mensch und Computer 2020 (06.-09.09.2020; Magdeburg)

    2020

    Abstract anzeigen

    The automated collection of real life data in private households places special requirements on a Data Privacy Management (DPM) concept. The development and implementation of a DPM concept for use in a scientific environment is demonstrated according to a successful use case – the project BLADL. The intention of this paper is to provide a guideline for ethical and privacy-preserving data collection and management in research projects in the EU. 

    DigitalAngewandte WirtschaftswissenschaftenTC Grafenau

    Vortrag

    Diane Ahrens

    Räumliche Unabhängigkeit Dank Digitalisierung

    Sommerkolloquium 2020 der Bayerischen Akademie Ländlicher Raum und Akademie für Politik und Zeitgeschehen der Hanns-Seidel-Stiftung „Corona und die große Transformation: Perspektiven für die ländlichen Räume?“, München

    2020

    DigitalAngewandte InformatikTC Grafenau

    Zeitschriftenartikel

    Ali Fallah Tehrani, M. Strickert, Diane Ahrens

    Class of Monotone Kernelized Classifiers on the basis of the Choquet Integral

    Expert Systems, vol. 37, no. First published: 21 January 2020, pp. 1-15

    2020

    DOI: 10.1111/exsy.12506

    Abstract anzeigen

    The key property of monotone classifiers is that increasing (decreasing) input values lead to increasing (decreasing) the output value. Preserving monotonicity for a classifier typically requires many constraints to be respected by modeling approaches such as artificial intelligence techniques. The type of constraints strongly depends on the modeling assumptions. Of course, for sophisticated models such conditions might be very complex. In this study we present a new family of kernels that we call it Choquet kernels. Henceforth it allows for employing popular kernel‐based methods such as support vector machines. Instead of a naïve approach with exponential computational complexity we propose an equivalent formulation with quadratic time in the number of attributes. Furthermore, since coefficients derived from kernel solutions are not necessarily monotone in the dual form, different approaches are proposed to monotonize coefficients. Finally experiments illustrate beneficial properties of the Choquet kernels.

    DigitalAngewandte InformatikTC Grafenau

    Beitrag (Sammelband oder Tagungsband)

    Monica I. Ciolacu, Leon Binder, Heribert Popp

    Enabling IoT in Education 4.0 with Biosensors from Wearables and Artificial Intelligence

    Proceedings of the 2019 IEEE 25th International Symposium for Design and Technology in Electronic Packaging (SIITME) [Oct 23-26, 2019; Cluj-Napoca, Romania], New York, NY, USA

    2020

    DOI: 10.1109/SIITME47687.2019.8990763

    Abstract anzeigen

    A major challenge for Education 4.0 is to make use of wearable devices for helping students in monitoring their learning behavior and their activities (steps, heart rate variability, and heart rate) in real-time. The first aim of this paper is to present our implementation of adaptivity and Artificial Intelligence (AI) methods within the Education 4.0 process. In this work, we investigate embedded biosensors (noninvasive, low-cost, and distraction-free) used in smartphones and smartwatches. The next objective is to enable IoT for Higher Education, i.e. a novel system assisted by AI that takes embedded biosensor data and environmental data into account in order to estimate students’ wellbeing and health. In this regard, we propose a framework that uses wearable devices to collect data with biofeedback methods to support students’ academic success.

    DigitalNachhaltigAngewandte WirtschaftswissenschaftenTC Grafenau

    Beitrag (Sammelband oder Tagungsband)

    S. Goisser, J. Krause, Michael Fernandes, H. Mempel

    Determination of tomato quality attributes using portable NIR-sensors

    Proceedings of OCM 2019: 4th International Conference on Optical Characterization of Materials (13-14 March, 2019; Karlsruhe), Karlsruhe

    2019

    ISBN: 978-3-7315-0864-9

    DOI: 10.5445/KSP/1000087509

    Abstract anzeigen

    As part of a research project a multidisciplinary approach of different research institutes is followed to investigate the possibility of using a commercially available miniaturized NIR-sensor for the determination of tomato fruit quality parameters in postharvest. Correlation of spectra and tomato reference values of firmness, dry matter and total soluble solids showed good prediction accuracy. Additionally the decline of firmness over storage time with respect to storage temperature of tomatoes could be modelled. Therefore, the decline of firmness as an indicator for shelf-life can be predicted using this portable NIR-Sensor.

    DigitalAngewandte WirtschaftswissenschaftenTC Grafenau

    Vortrag

    Frank Edenharter

    Geographie in der Praxis und der Digitalisierung

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

    2019

    DigitalAngewandte WirtschaftswissenschaftenTC Grafenau

    Vortrag

    Frank Edenharter

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

    5. Martini-Tagung Smarte Standorte, Friedberg

    2019

    DigitalTC Grafenau

    Beitrag (Sammelband oder Tagungsband)

    T. Wimmer, Michael Scholz

    Online Product Descriptions - Boost for your Sales?

    14. Internationale Tagung Wirtschaftsinformatik, Siegen

    2019

    DigitalTC Grafenau

    Zeitschriftenartikel

    Michael Scholz, C. Brenner, O. Hinz

    AKEGIS: automatic keyword generation for sponsored search advertising in online retailing

    Decision Support Systems, vol. 119, no. April, pp. 96-106

    2019

    DOI: 10.1016/j.dss.2019.02.001

    Abstract anzeigen

    Sponsored search advertisers face several complex decisions when planning and implementing a new sponsored search advertising campaign. These decisions include the selection of keywords, the definition of landing pages, and the formulation of bidding strategies. Relatively low attention has been paid on supporting the selection of keywords in recent research and most studies on sponsored search advertising focus on the formulation of bidding strategies and strategies for budget planning. We present a novel approach for automatically generating sponsored search keywords that relies on the theory of consumer search behavior. Our approach uses an online store's internal search log to extract keywords used by consumers within their search process, because recent research has shown that especially consumers with a high conversion probability that exhibit goal-directed instead of exploratory search patterns use an online store's internal search engine. We empirically test our approach based on a store's internal search engine and identify the effects of this approach by comparing it to a state-of-the-art approach. Our analysis reveals that our approach substantially increased the number of profitable keywords, improved the store's conversion rate by approximately 41%, and decreased the average cost per click by more than 70%.

    DigitalTC Grafenau

    Beitrag (Sammelband oder Tagungsband)

    A. Keller, Michael Scholz

    Trading on Cryptocurrency Markets: Analyzing the Behavior of Bitcoin Investors

    Proceedings of the 40th International Conference on Information Systems

    2019

    DigitalAngewandte InformatikTC Grafenau

    Vortrag

    Robert Hable

    Maschinelles Lernen erfolgreich nutzen

    DigiCamp zum Thema "4.0 braucht Künstliche Intelligenz (KI) - Praktische KI erleben", Deggendorf

    2019

    DigitalAngewandte InformatikTC Grafenau

    Vortrag

    Diane Ahrens

    Digitale Daseinsfürsorge in Stadt und Land

    2019

    DigitalAngewandte InformatikTC Grafenau

    Vortrag

    Frank Edenharter, Hanna Schürzinger

    Weil Heimat Zukunft hat - Anwendungsorientierte Digitalisierungsstrategien im ländlichen Raum Bayerns am Beispiel digitaler Arbeitswelten

    8. Nachwuchsworkshop und 23. Jahrestagung des Arbeitskreises "Ländliche Räume", Göttingen

    2019

    DigitalAngewandte InformatikTC Grafenau

    Vortrag

    Diane Ahrens

    Digitales Dorf - "Alles Smart!?"

    Rotunde der Salzburg AG, Salzburg, Österreich

    2019