DigitalNachhaltigTC 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.
DigitalAngewandte WirtschaftswissenschaftenTC 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
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 GrafenauBeitrag (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 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.
DigitalAngewandte WirtschaftswissenschaftenTC GrafenauBeitrag (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.
DigitalNachhaltigFraunhofer AWZ CTMTMaschinenbau und MechatronikZeitschriftenartikel
Gabriel Herl, Jochen Hiller, A. Maier
Scanning trajectory optimisation using a quantitative Tuybased local quality estimation for robot-based X-ray computed tomography
Nondestructive Testing and Evaluation, vol. (Published 21 June 2020), no. 6
2020
DOI: 10.1080/10589759.2020.1774579
Abstract anzeigen
Robotic CT systems allow complex scanning trajectories. This work presents a workflow to automatically calculate optimised scanning trajectories for robotic CT systems. In particular, as a local quality estimation, this work introduces a quantitative measure to quantify local reconstruction quality based on the Tuy conditions. The proposed method is tested in two summation experiments using an STL model of a motorcycle. In both experiments, a trajectory is calculated using a quantitative Tuy-based local quality estimation and the reconstruction result is then compared to reconstructions using conventional scanning trajectories. The comparison results indicate that the proposed approach automatically finds trajectories that enable 3D reconstructions with high image quality using much less projection data, which allows a significant reduction of scanning time.
DigitalNachhaltigFraunhofer AWZ CTMTMaschinenbau und MechatronikZeitschriftenartikel
A. Stock, Gabriel Herl, T. Sauer, Jochen Hiller
Edge-preserving compression of CT scans using wavelets
Insight - Non-Destructive Testing and Condition Monitoring, vol. 62, no. 6, pp. 345-351
2020
DOI: 10.1784/insi.2020.62.6.345
Abstract anzeigen
This work addresses the subject of efficient storage of computed tomography (CT) data with an emphasis on the quality of surfaces. Industrial dimensional metrology often requires high measurement accuracy and it is shown that this is retained using wavelet-based compression methods. The applied techniques include a tensor product wavelet transform and soft wavelet shrinkage. In these tests, performed on real objects, dimensional CT measurements of compressed and uncompressed volumes were compared. The necessary storage space was reduced significantly with a negligible loss of accuracy. The storage space required for a multi-sphere phantom was decreased to 4.7% (from 638 MB to 30 MB), with an average deviation below 1 μm from the original volume.
DigitalNachhaltigExternZeitschriftenartikel
Anton Schmailzl, Johannes Käsbauer, J. Martan, P. Honnerová, F. Schäfer, M. Fichtl, T. Lehrer, L. Prušáková, J. Tesař, J. Skála, M. Honner
Measurement of core temperature through semi-transparent polyamide 6 using scanner-integrated pyrometer in laser welding
International Journal of Heat and Mass Transfer, vol. 146, no. January
2020
DOI: 10.1016/j.ijheatmasstransfer.2019.118814
Abstract anzeigen
Predicting the core temperature during welding is an ambitious aim in many research works. In this work, a 3D-scanner with integrated pyrometer is characterized and used to measure the temperature during quasi-simultaneous laser transmission welding of polyamide 6. However, due to welding in an overlap configuration, the heat radiation emitted from the joining zone of a laser transmission weld has to pass through the upper polymer, which is itself a semi-transparent emitter. Therefore, the spectral filtering of the heat radiation in the upper polymer is taken into account by calibrating the pyrometer for the measurement task. Thermal process simulations are performed to compare the temperature field with the measured temperature signal. The absorption coefficients of the polymers are measured, in order to get precise results from the computation. The temperature signals during welding are in good agreement with the computed mean temperature inside the detection spot, located in the joining area. This is also true for varying laser power, laser beam diameter and the carbon black content in the lower polymer. Both, the computed mean temperature and the temperature signal are representing the core temperature. In order to evaluate the spatial sensitivity of the measurement system, the emitted heat radiation from both polymers is calculated on basis of the computed temperature field. Hereby it is found, that more than 90 percent of the detected heat radiation comes from the joining area, which is a crucial information for contact-free temperature measurement tasks on semi-transparent polymers.
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