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Suche nach „[Digital]“ hat 1166 Publikationen gefunden
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    DigitalI: Zentrum für Akademische WeiterbildungP: DEG-DLM2

    Buch (Monographie)

    Caroline Weber

    Automatisierte Vorlesungsaufzeichnungen im Projekt DEG-DLM2 – Evaluation der Einsatzerfahrungen

    2020

    DigitalI: Zentrum für Akademische WeiterbildungP: DEG-DLM2

    Buch (Monographie)

    Projekt DEG-DLM2

    Verwertungskonzept für das Projekt DEG-DLM2

    2020

    DigitalI: Zentrum für Akademische WeiterbildungP: DEG-DLM2

    Buch (Monographie)

    Benjamin Nädele

    Qualitative Analyse von Webkonferenzen im Projekt DEG-DLM2

    2020

    DigitalI: Zentrum für Akademische WeiterbildungP: DEG-DLM2

    Buch (Monographie)

    Benjamin Nädele

    Qualitative Analyse von Webkonferenzen im Projekt DEG-DLM1

    2020

    DigitalI: Zentrum für Akademische WeiterbildungP: DEG-DLM2

    Buch (Monographie)

    Karina Fisch, Sabrina Ebner

    Nutzungskonzept für die Erkenntnisse aus dem Projekt DEG-DLM2

    2020

    DigitalI: Zentrum für Akademische WeiterbildungP: DEG-DLM2

    Buch (Monographie)

    Christian Ebner

    Webkonferenzen im Projekt DEG-DLM2 – Begleitforschung zum Einsatz der im Vergleich zur ersten Förderphase optimierten digitalen Lehrmodalität

    2020

    DigitalI: Zentrum für Akademische WeiterbildungP: DEG-DLM2

    Buch (Monographie)

    Christian Ebner

    Bericht Begleitforschung Modul „Wissenschaftliches Arbeiten“ der Studiengänge Pflegepädagogik und Pädagogik im Rettungswesen

    2020

    DigitalS: TC Grafenau

    Buch (Monographie)

    S. Sczogiel, A. Busch, A. Göller, A. Gabber, B. Williger, S. Schmitt-Rüth, Diane Ahrens, Dietmar Jakob, Sebastian Wilhelm

    Digital fit im Alter

    Handlungsempfehlung für Gemeinden zu Bildungsangeboten für Senioren (Hg.: Fraunhofer-Institut für Integrierte Schaltungen [IIS]; Technische Hochschule Deggendorf [THD])

    2020

    DOI: 10.13140/RG.2.2.23245.05609

    Abstract anzeigen

    Ziel der Broschüre ist es, Gemeinden insbesondere im ländlichen Raum, über die Konzeption von Bildungsangeboten für ältere Menschen zu informieren und sie dazu zu befähigen, ähnliche Initiativen in ihren Gemeinden zu starten.

    DigitalNachhaltigF: Angewandte InformatikS: TC Plattling MoMo

    Vortrag

    Markus Eider, Andreas Berl

    Requirements for prescriptive recommender systems extending the lifetime of EV batteries

    2020 10th International Conference on Advanced Computer Information Technologies (ACIT), Deggendorf

    2020

    DigitalNachhaltigF: Angewandte InformatikS: TC Plattling MoMo

    Vortrag

    Nicki Bodenschatz, Markus Eider, Andreas Berl

    Mixed-Integer-Linear-Programming model for the charging scheduling of electric vehicle fleets

    2020 10th International Conference on Advanced Computer Information Technologies (ACIT), Deggendorf

    2020

    DigitalS: TC Freyung

    Beitrag (Sammelband oder Tagungsband)

    Anja Braehmer, Wolfgang Dorner

    Museum Uploaded. Digitale Technologie für crossmediale grenzüberschreitende Museumskooperationen.

    Online-Erweiterung zum Band 84 (2019) der Museumskunde

    2020

    Abstract anzeigen

    Zusammen mit Projektpartnern entwickelt die TH Deggendorf digitale Technologien für eine neue stadtgeschichtliche Dauerausstellung im Stadtmuseum Deggendorf. Konkret handelt es sich hierbei um drei digitale Teilprojekte: ein Content Management System (CMS), das erlaubt die festinstallierten Medienstationen der Ausstellung zentral zu verwalten, einen digitalen Museumsbegleiter, der die Geschichten der Exponate erzählt und Zugang zu Vertiefungsebenen bietet und eine barrierefreie digitale Anwendung zur Verknüpfung von Museums-und Stadtraum.

    DigitalF: Angewandte GesundheitswissenschaftenI: Institut für Existenzgründung

    Zeitschriftenartikel

    Thomas Bartscher

    Was macht der digitale Wandel mit Menschen und Unternehmen?

    Magazin hoch³, no. 4 (Juli), pp. 12-15

    2020

    DigitalF: Angewandte InformatikI: Institut ProtectIT

    Zeitschriftenartikel

    Amar Almaini, A. Al Dubai, I. Romdhani, Martin Schramm, A. Alsarhan

    Lightweight edge authentication for software defined networks

    Computing (Special Issue), no. 8 August 2020

    2020

    DOI: 10.1007/s00607-020-00835-4

    Abstract anzeigen

    OpenFlow is considered as the most known protocol for Software Defined Networking (SDN). The main drawback of OpenFlow is the lack of support of new header definitions, which is required by network operators to apply new packet encapsulations. While SDN’s logically centralized control plane could enhance network security by providing global visibility of the network state, it still has many side effects. The intelligent controllers that orchestrate the dumb switches are overloaded and become prone to failure. Delegating some level of control logic to the edge or, to be precise, the switches can offload the controllers from local state based decisions that do not require global network wide knowledge. Thus, this paper, to the best of our knowledge, is the first to propose the delegation of typical security functions from specialized middleboxes to the data plane. We leverage the opportunities offered by programming protocol-independent packet processors (P4) language to present two authentication techniques to assure that only legitimate nodes are able to access the network. The first technique is the port knocking and the second technique is the One-Time Password. Our experimental results indicate that our proposed techniques improve the network overall availability by offloading the controller as well as reducing the traffic in the network without noticeable negative impact on switches’ performance.

    DigitalNachhaltigS: TC 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.

    DigitalF: Angewandte WirtschaftswissenschaftenS: TC Grafenau

    Vortrag

    Sebastian Wilhelm

    Activity Monitoring reusing Home Infrastructure Data

    Digital French-German Summer School with Industry 2020

    2020

    DigitalF: Angewandte WirtschaftswissenschaftenS: TC Grafenau

    Vortrag

    Dietmar Jakob

    Voice User Interfaces in the residential environment of elderly

    Digital French-German Summer School with Industry 2020

    2020

    DigitalF: Angewandte WirtschaftswissenschaftenS: TC 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

    DOI: 10.1145/3404983.3409991

    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.

    DigitalF: Angewandte WirtschaftswissenschaftenS: TC Grafenau

    Beitrag (Sammelband oder Tagungsband)

    Sebastian Wilhelm, Dietmar Jakob, Jakob Kasbauer, M. 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.

    DigitalF: Angewandte WirtschaftswissenschaftenS: TC 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.

    DigitalF: Angewandte WirtschaftswissenschaftenS: TC Grafenau

    Beitrag (Sammelband oder Tagungsband)

    Dietmar Jakob, Sebastian Wilhelm, A. Gerl

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

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

    2020

    DOI: 10.18420/muc2020-ws119-003

    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.