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    <completedYear>2025</completedYear>
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    <language>eng</language>
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    <title language="eng">PrivacyHub: A Functional Tangible and Digital Ecosystem for Interoperable Smart Home Privacy Awareness and Control</title>
    <abstract language="eng">Hubs are at the core of most smart homes. Modern cross-ecosystem protocols and standards enable smart home hubs to achieve interoperability across devices, offering the unique opportunity to integrate universally available smart home privacy awareness and control features. To date, such privacy features mainly focus on individual products or prototypical research artifacts. We developed a cross-ecosystem hub featuring a tangible dashboard and a digital web application to deepen our understanding of how smart home users interact with functional privacy features. The ecosystem allows users to control the connectivity states of their devices and raises awareness by visualizing device positions, states, and data flows. We deployed the ecosystem in six households for one week and found that it increased participants’ perceived control, awareness, and understanding of smart home privacy. We further found distinct differences between tangible and digital mechanisms. Our findings highlight the value of cross-ecosystem hubs for effective privacy management.</abstract>
    <parentTitle language="eng">In CHI Conference on Human Factors in Computing Systems (CHI ’25), April 26–May 01, 2025, Yokohama, Japan.</parentTitle>
    <identifier type="doi">10.1145/3706598.3713517</identifier>
    <enrichment key="PeerReviewed">Ja</enrichment>
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    <author>Maximiliane Windl</author>
    <author>Philipp Thalhammer</author>
    <author>David Müller</author>
    <author>Albrecht Schmidt</author>
    <author>Sebastian Feger</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>human-computer interaction, smart home privacy, tangible privacy, smart home dashboard, privacy awareness, privacy control</value>
    </subject>
    <collection role="institutes" number="">Campus Chiemgau</collection>
    <thesisPublisher>Technische Hochschule Rosenheim</thesisPublisher>
  </doc>
  <doc>
    <id>2980</id>
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    <language>eng</language>
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    <volume>2024</volume>
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    <publisherName>Gesellschaft für Informatik e.V.</publisherName>
    <publisherPlace>Bonn</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation>Hochschule Bielefeld</contributingCorporation>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>2025-03-26</publishedDate>
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    <title language="eng">Helios: Introducing a Project for Forecasting Photovoltaic Yields using a Small Network of All-Sky Imagers and Meteorological Sensors</title>
    <abstract language="eng">The Helios project aims to improve the accuracy of solar radiation forecasting, which is crucial for integrating fluctuating power sources like solar power into electrical grids. This manuscript provides a comprehensive overview of the project, details the installed measurement devices on a ground-mounted PV system, and presents initial results on calibrating three All-Sky Imagers. Additionally, it discusses the integration of monitoring data and the application of image recognition for cloud detection and movement.</abstract>
    <parentTitle language="eng">EnviroInfo 2024</parentTitle>
    <additionalTitle language="deu">Helios: Vorstellung eines Projekts zur Prognose von PV-Erträgen mit einem kleinen Netzwerk aus All-Sky Imagern und meteorologischen Sensoren</additionalTitle>
    <identifier type="doi">10.18420/env2024_01</identifier>
    <enrichment key="conference_title">EnviroInfo 2024</enrichment>
    <enrichment key="conference_place">Cairo</enrichment>
    <enrichment key="RS_Acronym">HELIOS</enrichment>
    <enrichment key="RS_ProjectTitle">Predictive Spatial Analytics for Solar Energy Grid Integration: Enhancing Reliability and Efficiency</enrichment>
    <enrichment key="RS_FundingAgency">Deutsche Bundesstiftung Umwelt</enrichment>
    <enrichment key="RS_GrantNumber">39213/01</enrichment>
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    <author>Andreas Boschert</author>
    <author>Alexander Kruse</author>
    <author>Grit Behrens</author>
    <author>Mike Zehner</author>
    <author>Martin Heigl</author>
    <subject>
      <language>eng</language>
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      <value>Solar Forecasting</value>
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    <subject>
      <language>eng</language>
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      <value>Nowcasting</value>
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    <subject>
      <language>eng</language>
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      <value>All-Sky Imager</value>
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  <doc>
    <id>2953</id>
    <completedYear>2025</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst>70</pageFirst>
    <pageLast>88</pageLast>
    <pageNumber>19</pageNumber>
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    <title language="deu">Holzbasierte Regenerat-Cellulosefasern als Verstärkungsstoff für Polypropylen: werkstoffliche und verfahrenstechnische Untersuchungen</title>
    <identifier type="isbn">978-3-9826926-0-9</identifier>
    <enrichment key="opus.import.data">@inproceedingsWiedl.2025, abstract = Die Eigenschaften eines Organoblechs werden maßgeblich durch die Prozessparameter Druck, Zeit und Temperatur während der Herstellung bestimmt. Diese Gesetzmäßigkeiten finden ebenfalls Anwendung bei thermisch sensiblen Regenerat-Cellulosefasern, welche hohe Festigkeiten bei gleichzeitig hoher Dehnung aufweisen. Es erfolgte eine Analyse der Herstellung von Organoblechen mit Regenerat-Cellulosefaserverstärkung, wobei der Fokus auf der Untersuchung des Einflusses der Verarbeitungsparameter Druck, Temperatur und Zeit auf die Verbundeigenschaften lag. Als Matrixsystem wurde Polypropylen gewählt, welches durch einen Haftvermittler ergänzt wurde. Die durchgeführte Analyse belegt, dass das für die Zugfestigkeit erstellte Modell eine hohe Güte aufweist und die entscheidenden Einflussfaktoren zuverlässig abbildet. In diesem Kontext sind insbesondere der Druck sowie die Wechselwirkung zwischen Temperatur und Zeit signifikante Parameter für die Zugfestigkeit. Das Modell zur Vorhersage der Durchstoßenergie hingegen weist aufgrund eines hohen Standardfehlers noch Optimierungspotenzial auf., author = Wiedl, Sebastian and Obermeier, Frederik and Karlinger, Peter and Müller, Norbert, title = Holzbasierte Regenerat-Cellulosefasern als Verstärkungsstoff für Polypropylen: werkstoffliche und verfahrenstechnische Untersuchungen, keywords = Faserverbund;Leichtbau;Naturfasern;Organoblech, pages = 70–88, isbn = 978-3-9826926-0-9, editor = Huber, Otto and Bicker, Marc and Patzelt, Peter, booktitle = 12. Landshuter Leichtbaukolloquium, year = 2025, file = _2B2_Wiedl_HRO_12LLC_FRG:Attachments/_2B2_Wiedl_HRO_12LLC_FRG.pdf:application/pdf</enrichment>
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    <enrichment key="conference_title">12. Landshuter Leichtbaukolloquium</enrichment>
    <enrichment key="conference_place">Landshut</enrichment>
    <author>Sebastian Wiedl</author>
    <author>Frederik Obermeier</author>
    <author>Peter Karlinger</author>
    <author>Norbert Müller</author>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Faserverbund</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Leichtbau</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Naturfasern</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Organoblech</value>
    </subject>
  </doc>
  <doc>
    <id>2927</id>
    <completedYear>2024</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>167</pageFirst>
    <pageLast>177</pageLast>
    <pageNumber>11</pageNumber>
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    <volume/>
    <type>conferencepaper</type>
    <publisherName/>
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    <title language="eng">Polyketone-Polypropylene Core-Shell Fibers for Concrete Reinforcement</title>
    <abstract language="eng">Corrosion of the commonly used steel reinforcements weakens the structural strength of concrete. To oppose this issue, concrete reinforcements in the form of polymer fibers are investigated. These polymer fibers need a good bonding ability to concrete and good mechanical properties. This study investigates core-shell fibers produced from polyketone and polypropylene mixed with a compatibilizer. The core-shell fibers were produced by coextrusion and drawing. The fibers were analyzed by tensile tests, a single fiber pull-out test, contact angle measurements, scanning electron microscopy and thermogravimetric analysis.</abstract>
    <parentTitle language="eng">Proceedings of the 39th International Conference of the Polymer Processing Society (PPS-39)</parentTitle>
    <identifier type="doi">10.51573/Andes.PPS39.GS.FF.1</identifier>
    <enrichment key="PeerReviewed">Ja</enrichment>
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    <author>Jonas Herz</author>
    <author>Sophia Hefenbrock</author>
    <author>Katharina Lorenz</author>
    <author>Dirk Muscat</author>
    <author>Nicole Strübbe</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Concrete Reinforcement</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Core-Shell Fiber</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Polyketone</value>
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    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Polypropylene</value>
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    <collection role="institutes" number="">Fakultät für Ingenieurwissenschaften</collection>
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    <thesisPublisher>Technische Hochschule Rosenheim</thesisPublisher>
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    <id>2926</id>
    <completedYear>2024</completedYear>
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    <language>eng</language>
    <pageFirst>329</pageFirst>
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    <pageNumber>9</pageNumber>
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    <title language="eng">Reactive Extrusion of Lignocellulosic Biomass to Produce Biopolymer Monomers using High-Energy Radiation and Catalytic Acids</title>
    <abstract language="eng">The increasing prevalence of bio-based and biodegradable plastics as an alternative to traditional plastics derived from crude oil is a noteworthy trend. Polybutylene succinate (PBS), a plastic produced from succinic acid, is among the promising materials for the future. However, the production of bio-based succinic acid through biotechnical processes in controlled environments presents challenges. This process leads to increased costs and is currently not economically competitive compared to crude oil-based succinic acid production. In addition to succinic acid, levulinic acid is another monomer produced in the same process.&#13;
A novel approach to the digestion of biomass has been developed to address the issue of biotechnological production of bio-based platform chemicals. This innovative process employs microwave radiation, pressure, and temperature to convert wood residues into succinic acid and levulinic acid. Various catalyst concentrations and biomass ratios were tested in a batch process, with high-pressure liquid chromatography (HPLC) and liquid chromatography–mass spectrometry (LC/MS) analyses revealing the formation of succinic acid, levulinic acid, formic acid, and 2 oxoglutaric acid. The results demonstrate that microwaves combined with a metal salt catalyst can be used to produce platform chemicals from lignocellulosic biomass.&#13;
To further advance the continuous production of PBS, a twin-screw extruder was modified and adapted after the successful results obtained from the batch processes. This setup enables additional experiments to evaluate the transferability of batch process results to continuous reactions, facilitating the scale-up and economic viability of the overall PBS production process in the future.</abstract>
    <parentTitle language="eng">Proceedings of the 39th International Conference of the Polymer Processing Society (PPS-39)</parentTitle>
    <identifier type="doi">https://doi.org/10.51573/Andes.PPS39.SS.BBB.6</identifier>
    <enrichment key="PeerReviewed">Ja</enrichment>
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    <enrichment key="RS_FundingAgency">Bundesministerium für Bildung und Forschung (BMBF), Bayerisches Staatsministerium für  Wirtschaft, Landesentwicklung und Energie</enrichment>
    <enrichment key="RS_GrantNumber">031B1334B</enrichment>
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    <author>Adrian Krey</author>
    <author>Vitus Zenz</author>
    <author>Karolin Widera</author>
    <author>Manuela List</author>
    <author>Dirk Muscat</author>
    <author>Nicole Strübbe</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Succinic Acid</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Levulinic Acid</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Biopolymer</value>
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    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Microwave</value>
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    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Wood</value>
    </subject>
    <collection role="institutes" number="">Fakultät für Ingenieurwissenschaften</collection>
    <collection role="institutes" number="">Zentrum für Forschung, Entwicklung und Transfer</collection>
    <thesisPublisher>Technische Hochschule Rosenheim</thesisPublisher>
  </doc>
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    <id>2898</id>
    <completedYear>2020</completedYear>
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    <language>eng</language>
    <pageFirst>225</pageFirst>
    <pageLast>230</pageLast>
    <pageNumber>6</pageNumber>
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    <publisherName>IEEE</publisherName>
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    <title language="eng">Predictive Analysis of Business Processes Using Neural Networks with Attention Mechanism</title>
    <abstract language="eng">The analysis of ongoing processes is an important task in business process management. This is not surprising, since (e.g.) being able to predict future events in processes enables companies to intervene at an early stage if deviations from a desired workflow are likely to occur. Subsequently, errors and associated financial losses can be prevented or avoided. A common basis for being able to predict future events is a sequence of previous events that are typically stored in a socalled event log. In this work we present a neural network with attention mechanism, which is trained using publicly available event logs (e.g. BPI Challenge 2013). Furthermore, we elaborate the proposed model with an extensive dataset of events of a worldwide known German software company. In addition to promising results (e.g.) with regard to n-gram models, the training time of the proposed model is shorter than that of typical reference models such as neural networks with a long short-term memory architecture (LSTM).</abstract>
    <parentTitle language="eng">2020 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)</parentTitle>
    <identifier type="doi">10.1109/ICAIIC48513.2020.9065057</identifier>
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    <author>Patrick Philipp</author>
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    <title language="eng">Cyber-Social Consensus: Proposing a Human-in-the-Loop Algorithm for Automated Decision-Making in Multi-Stakeholder Settings</title>
    <abstract language="eng">Business applications in multi-stakeholder settings use automated decision-making algorithms to increase efficiency and enable consensus in business processes. However, current algorithms for decision-making automation in business lack trust and transparency. Additionally, they can suffer from mistakes if stakeholders with limited digital literacy report no or wrong data to the algorithm. Allowing stakeholders to participate directly in decision-making processes has the potential to enhance acceptance of decisions and strengthen cooperation. This paper proposes the concept of Cyber-Social Consensus (CSC), an inclusive, trustworthy and transparent automated decision-making protocol that combines algorithms with human participation. Algorithmic automation is facilitated via blockchain-based smart contracts, human involvement via email communication as a traditional, widely-used tool to accommodate different levels of digital literacy. The proposed algorithmic CSC concept serves as a foundation for future research with the goal to expand extant literature on automated decision-making, algorithms and blockchain technology.</abstract>
    <parentTitle language="eng">ACIS 2024 Proceedings</parentTitle>
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    <title language="eng">Improved Sampling of IV Measurements</title>
    <abstract language="eng">The measurement of IV curves is the most important characterization technique of photovoltaic devices. This work seeks to determine a fair sampling rate for IV curves. Traditional sampling methods, such as using equidistant voltage steps, result in biased data by over- and undersampling the measurement at different voltages, which affect critical evaluations such as maximum power point (MPP) determination as well as series and shunt resistance estimation. Therefore, an adaptive sampling approach based on calculating the arc length of the IV curve is proposed, aiming to distribute data points equidistantly along the curve. This method is intended to provide a more balanced representation of the measurement data across all segments of the curve. The results indicate that using this adaptive approach, the measurement points can be significantly reduced at lower voltages while maintaining essential data density at key characteristics such as the MPP, facilitating faster and more accurate assessments.</abstract>
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    <author>Markus Panhuysen</author>
    <author>Achim Schulze</author>
    <author>Bernd Hüttl</author>
    <author>Dieter Landes</author>
    <subject>
      <language>eng</language>
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      <value>Measurement</value>
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      <language>eng</language>
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      <value>Solar Modules</value>
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    <publisherName>Springer Gabler</publisherName>
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    <title language="deu">Deutsche Wirtschaft im Krisenmodus!? Herausforderungen managen</title>
    <abstract language="deu">Die Automobilindustrie befindet sich in einer historisch einzigartigen und tiefgreifenden Umbruchsituation. Neben einer Vielzahl von Megatrends wirken derzeit auch viele Krisen und Herausforderungen auf die Mobilitätslandschaft ein. Aus unserer praktischen Erfahrung können wir feststellen, dass diese Herausforderungen spürbare Auswirkungen auf die wirtschaftliche Lage und die Ausgestaltung der Geschäftsmodelle haben werden. Mit diesem Beitrag verfolgen wir das Ziel, ein umfassendes branchenspezifisches Krisenverständnis für die Automobilindustrie zu entwickeln und die Auswirkungen auf verschiedene Subgruppen herauszuarbeiten. Wir haben hierzu den Ansatz der Expertenbefragung gewählt, um branchenspezifisches Fachwissen zu generieren. Die getroffene Vorauswahl an Krisen/Herausforderungen konnte anhand der Dimensionen Relevanz und Handlungsorientierung (intern vs. extern) systematisiert werden. Die Ergebnisse zur aktuellen und perspektivischen wirtschaftlichen Lage bestätigen die bestehenden Konjunkturprognosen. Darüber hinaus konnten Dynamiken und Veränderungspotenziale in verschiedenen Bereichen des Business Model Canvas nachgewiesen werden.</abstract>
    <parentTitle language="deu">Next Chapter in Mobility</parentTitle>
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    <author>Matthias Achim Teichert</author>
    <author>Marcus Lödige</author>
    <author>Tom Carlo Lehmann</author>
    <author>Jan-Diederich Lüken</author>
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      <language>deu</language>
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      <value>Wirtschaftskrise</value>
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      <value>Konjukturkrise</value>
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      <language>deu</language>
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      <value>Unternehmensumfrage</value>
    </subject>
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