@misc{13021, abstract = {{Natural ventilation in a building is an effective way to achieve acceptable indoor air quality. Ventilation dilutes contaminants such as bioeffluents generated by occupants, substances emitted from building materials, and the water vapor generated by occupants’ activities. In a building that requires heating and cooling, adequate ventilation is crucial to minimize energy consumption while maintaining healthy indoor air quality. However, measuring the actual magnitude of the natural ventilation rate, including infiltration through the building envelope and airflow through the building openings, is not always feasible. Although international and national standards suggested the required ventilation rates to maintain acceptable indoor air quality in buildings, they did not offer action plans to achieve or evaluate those design ventilation rates in buildings in use. In this study, the occupant-generated carbon dioxide (CO2) tracer gas decay method was applied to estimate the ventilation rates in an office room in Seoul, South Korea, from summer to winter. Using the method, real-time ventilation rates can be calculated by monitoring indoor and outdoor CO2 concentrations without injecting a tracer gas. For natural ventilation in the test room, 145 mm-diameter circular openings on the fixed glass were used. As a result, first, the indoor CO2 concentrations were used as an indicator to evaluate how much the indoor air quality deteriorated when all the windows were closed in an occupied office room compared to the international standards for indoor air quality. Moreover, we found out that the estimated ventilation rates varied depending on various environmental conditions, even with the same openings for natural ventilation. Considering the indoor and outdoor temperature differences and outdoor wind speeds as the main factors influencing the ventilation rates, we analyzed how they affected the ventilation rates in the different seasons of South Korea. When the wind speeds were calm, less than 2 m/s, the temperature difference played as a factor that influenced the estimated ventilation rates. On the other hand, when the temperature differences were low, less than 3 °C, the wind speed was the primary factor. This study raises awareness about the risk of poor indoor air quality in office rooms that could lead to health problems or unpleasant working environments. This study presents an example of estimating the ventilation rates in an existing building. By using the presented method, the ventilation rate in an existing building can be simply estimated while using the building as usual, and appropriate ventilation strategies for the building can be determined to maintain the desired indoor air quality.}}, author = {{Seol, Hyeonji and Arztmann, Daniel and Kim, Naree and Balderrama, Alvaro}}, booktitle = {{Sustainability}}, issn = {{2071-1050}}, keywords = {{Management, Monitoring, Policy and Law, Renewable Energy, Sustainability and the Environment, Geography, Planning and Development, Building and Construction}}, number = {{13}}, publisher = {{MDPI}}, title = {{{Estimation of Natural Ventilation Rates in an Office Room with 145 mm-Diameter Circular Openings Using the Occupant-Generated Tracer-Gas Method}}}, doi = {{10.3390/su15139892}}, volume = {{15}}, year = {{2023}}, } @misc{10590, abstract = {{Das Kriechende Netzblatt, Goodyera repens, das von den Vorständen der Arbeitskreise Heimische Orchideen Deutschlands (AHOs) zur Orchidee des Jahres 2021 gewählt wurde, wird vorgestellt. Namensgebung, morphologische Merkmale und Lebenszyklus sowie Ökologie und Lebensräume werden charakterisiert. Das Areal der Art wird beschrieben und die Verbreitung für Deutschland kartographisch dargestellt. Gefährdungsursachen werden erörtert und Schutzmaßnahmen aufgezeigt. Abschließend werden signifikante Konsequenzen des Klimawandels für die Art diskutiert und in Beispielen dargelegt.}}, author = {{Klüber, Marco and Lohr, Mathias}}, booktitle = {{Journal europäischer Orchideen : Mitteilungsblatt des AHO Baden-Württemberg }}, issn = {{0945-7909}}, keywords = {{Orchidaceae, Goodyera repens, Orchid of the Year 2021, characteristics, distribution, life history, monitoring, threats, conservation status, protection, Germany.}}, number = {{1-2}}, pages = {{3--27}}, publisher = {{AHO}}, title = {{{Das Kriechende Netzblatt Goodyera repens (L.) R.Br. – Orchidee des Jahres 2021 }}}, volume = {{54}}, year = {{2022}}, } @misc{12217, abstract = {{In this study dedicated to Winfried Lampert, we present a suite of case studies which successfully combined empirical long-term and experimental data with theory to identify mechanisms driving the non-linear dynamics and critical transitions in a lake ecosystem under environmental change. The theoretical concepts used include Probability Theory, Regime Shift Theory, Intraguild Predation Theory, Metabolic Theory of Ecology, and Early Warning Indicators. Only by linking theory with data do we gain a mechanistic understanding of the dynamics and long-term changes observed in the case study sites – allowing for realistic projections under different climate change scenarios. If this combined approach correctly identifies the mechanisms governing change in case studies, then upscaling beyond the case study at hand is likely feasible. Indeed, for most of the presented case studies, identified mechanisms were confirmed by explicitly linking them to relevant recent studies based on large-scale global data sets. These include the rise in lake ice intermittency, shifts in thermal regime and the amplification of lake’s trophic state in a warmer world. This link also documents the importance and value of re-using long-term records under the FAIR data principles in international initiatives. Further, in the context of linking theory and data, large-scale data has the unique ability to test the general validity of a theory, thus giving valuable feedback to theory. }}, author = {{Adrian, Rita and Gsell, Alena S. and Shatwell, Tom and Scharfenberger, Ulrike}}, booktitle = {{Fundamental and applied limnology : formerly: Archiv für Hydrobiologie }}, issn = {{2363-7110}}, keywords = {{Theory, experimental data, scaling, long-term monitoring, theory-data synergy}}, number = {{3/4}}, pages = {{179 -- 194}}, publisher = {{Schweizerbart}}, title = {{{Linking theory with empirical data: Improving prediction through mechanistic understanding of lake ecosystem complexity under global change}}}, doi = {{10.1127/fal/2022/1457}}, volume = {{196}}, year = {{2022}}, } @misc{12231, abstract = {{In temperate lakes, it is generally assumed that light rather than temperature constrains phytoplankton growth in winter. Rapid winter warming and increasing observations of winter blooms warrant more investigation of these controls. We investigated the mechanisms regulating a massive winter diatom bloom in a temperate lake. High frequency data and process-based lake modeling demonstrated that phytoplankton growth in winter was dually controlled by light and temperature, rather than by light alone. Water temperature played a further indirect role in initiating the bloom through ice-thaw, which increased light exposure. The bloom was ultimately terminated by silicon limitation and sedimentation. These mechanisms differ from those typically responsible for spring diatom blooms and contributed to the high peak biomass. Our findings show that phytoplankton growth in winter is more sensitive to temperature, and consequently to climate change, than previously assumed. This has implications for nutrient cycling and seasonal succession of lake phytoplankton communities. The present study exemplifies the strength in integrating data analysis with different temporal resolutions and lake modeling. The new lake ecological model serves as an effective tool in analyzing and predicting winter phytoplankton dynamics for temperate lakes.}}, author = {{Kong, Xiangzhen and Seewald, Michael and Dadi, Tallent and Friese, Kurt and Mi, Chenxi and Boehrer, Bertram and Schultze, Martin and Rinke, Karsten and Shatwell, Tom}}, booktitle = {{Water research : a journal of the International Water Association}}, issn = {{1879-2448}}, keywords = {{Winter diatom bloom, High frequency monitoring, Lake modeling, Light limitation, Temperature}}, publisher = {{Elsevier BV}}, title = {{{Unravelling winter diatom blooms in temperate lakes using high frequency data and ecological modeling}}}, doi = {{10.1016/j.watres.2020.116681}}, volume = {{190}}, year = {{2020}}, } @inbook{4313, abstract = {{This paper reports on a study (N = 471) exploring the acceptance of video-based home monitoring systems as well as criteria influencing their acceptance. While most participants stated that they would home monitoring solutions under certain conditions, the majority of participants is rather reluctant to use systems that transmit visual and acoustical information to remote medical personnel. Besides age, most user characteristics, which played important roles in technology acceptance research for many years, do not appear to be decisive factors for the acceptance of electronic home-monitoring services.}}, author = {{Röcker, Carsten}}, booktitle = {{Intelligent Human Systems Integration 2019}}, editor = {{Karwowski, Waldemar and Ahram, Tareq}}, isbn = {{978-3-030-11050-5}}, keywords = {{Active assisted living, Electronic homecare, e-health : Video-based monitoring, Technology acceptance, User-centered design, Study}}, location = {{San Diego, California, USA}}, pages = {{551 -- 556}}, publisher = {{Springer}}, title = {{{Exploring the Acceptance of Video-Based Medical Support}}}, doi = {{10.1007/978-3-030-11051-2_83}}, volume = {{903}}, year = {{2019}}, } @inproceedings{550, abstract = {{Additive Manufacturing (AM) technologies are increasingly used for final part production. Especially technologies for processing of metal, like Selective LaserMelting (SLM), arefocusedin this area. The shift from prototyping towards final part production results in enhanced requirements for repeatability and predictability of the part quality. Machine manufacturers offer process monitoring solutions for different aspects of the production process, like the powder bed surface, the melt pool, and the laser energy. Nevertheless, the significance of these systems is not fully proven and threshold values for the monitored process parameters have to be determined for each product individually. This impedes the development of suitable process control systems. The paper gives an overview ofexistingresearch approaches and available process monitoring systems for SLM and their applicability for predicting certain part characteristics. The existing solutions are evaluated based on own research results. Next, AM specific difficulties for the development of process control tools and possible solutions are discussed.}}, author = {{Huxol, Andrea and Villmer, Franz-Josef}}, booktitle = {{Production Engineering and Management}}, editor = {{Villmer, Franz-Josef and Padoano, Elio}}, isbn = {{978-3-946856-03-0}}, keywords = {{Additive manufacturing, Process capability, Process monitoring, Quality assurance, Final part production}}, location = {{Lemgo}}, number = {{1}}, pages = {{17--28}}, title = {{{Process Control for Selective Laser Melting - Opprtunities and Limitations}}}, year = {{2018}}, } @inproceedings{2133, abstract = {{Due to the material changes of components from metal to plastic or composite materials, the structural health monitoring finds more and more interest in the industrial fields. The reason is that these materials are more vulnerable to damage or impacts which cannot be optically detected. In this contribution we present a method to analyze the structure of plastic components with piezo-electrical sensors and actuators. The components are stimulated by actuators, and sensors capture the injected vibrations. These signals are decomposed into Intrinsic Mode Functions to compute statistical features. A Fuzzy-Pattern-Classifier is applied to detect structural modifications at the components under test.}}, author = {{Dicks, Alexander and Lohweg, Volker and Wittke, Henrik and Linke, Stefan}}, booktitle = {{20th IEEE International Conference on Emerging Technologies and Factory Automation}}, keywords = {{Sensors, Actuators, Finite element analysis, Plastics, Modal analysis, Monitoring, Empirical mode decomposition}}, title = {{{Structural Health Monitoring of Plastic Components with Piezoelectric Sensors}}}, doi = {{ 10.1109/ETFA.2015.7301595}}, year = {{2015}}, }