DigitalS: TC GrafenauBuch (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.
DigitalS: TC FreyungBeitrag (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 InformatikI: Institut ProtectITZeitschriftenartikel
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 GrafenauZeitschriftenartikel
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 GrafenauBeitrag (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 GrafenauBeitrag (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 GrafenauBeitrag (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 GrafenauBeitrag (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.
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