TY - CHAP A1 - Creutzburg, Reiner A1 - McCallum, Simon A1 - Kim, Stefan A1 - van Rüschen, Raoul T1 - Volumetric Terrain Rendering with WebGL T2 - Electronic Imaging: Mobile Devices and Multimedia: Enabling Technologies, Algorithms, and Applications, 28. Januar bis 1. Februar 2018, Burlingame, Kalifornien, USA Y1 - 2018 U6 - https://doi.org/10.2352/issn.2470-1173.2018.06.mobmu-136 SN - 2470-1173 SP - 136-1 EP - 136-14 PB - Society for Imaging Science and Technology CY - Kilworth Lane / Springfield, Virginia, USA ER - TY - JOUR A1 - Hasche, Eberhard A1 - Karaschewski, Oliver A1 - Creutzburg, Reiner T1 - Using ACES Look Modification Transforms (LMTs) in VFX Environments – Part 2: Gamut Mapping JF - Electronic Imaging KW - 3ARRI footage KW - ACES KW - VFX KW - color gamut KW - color management KW - color spaces KW - tone mapping Y1 - 2021 U6 - https://doi.org/10.2352/ISSN.2470-1173.2021.3.MOBMU-108 SN - 2470-1173 SP - 108-1 EP - 108-14 PB - Society for Imaging Science and Technology CY - Springfield, VA ER - TY - JOUR A1 - Hasche, Eberhard A1 - Benning, Dominik A1 - Creutzburg, Reiner T1 - Using ACES Look Modification Transforms (LMTs) in a Visual Effects Production Environment –Part 1: Rec.709 Inputsand Outputs JF - Electronic Imaging KW - ACES KW - Academy Color Encoding System KW - LMT KW - Look Modification Transform KW - VFX Environment Y1 - 2020 U6 - https://doi.org/10.2352/ISSN.2470-1173.2020.3.MOBMU-205 SN - 2470-1173 SP - 205-1 EP - 205-14 PB - Society for Imaging Science and Technology CY - Springfield, VA ER - TY - JOUR A1 - Daupayev, Nursultan A1 - Engel, Christian A1 - Hirsch, Sören T1 - Two-to-One Trigger Mechanism for Event-Based Environmental Sensing JF - Sensors N2 - Environmental monitoring systems often operate continuously, measuring various parameters, including carbon dioxide levels (CO2), relative humidity (RH), temperature (T), and other factors that affect environmental conditions. Such systems are often referred to as smart systems because they can autonomously monitor and respond to environmental conditions and can be integrated both indoors and outdoors to detect, for example, structural anomalies. However, these systems typically have high energy consumption, data overload, and large equipment sizes, which makes them difficult to install in constrained spaces. Therefore, three challenges remain unresolved: efficient energy use, accurate data measurement, and compact installation. To address these limitations, this study proposes a two-to-one threshold sampling approach, where the CO2 measurement is activated when the specified T and RH change thresholds are exceeded. This event-driven method avoids redundant data collection, minimizes power consumption, and is suitable for resource-constrained embedded systems. The proposed approach was implemented on a low-power, small-form and self-made multivariate sensor based on the PIC16LF19156 microcontroller. In contrast, a commercial monitoring system and sensor modules based on the Arduino Uno were used for comparison. As a result, by activating only key points in the T and RH signals, the number of CO2 measurements was significantly reduced without loss of essential signal characteristics. Signal reconstruction from the reduced points demonstrated high accuracy, with a mean absolute error (MAE) of 0.0089 and root mean squared error (RMSE) of 0.0117. Despite reducing the number of CO2 measurements by approximately 41.9%, the essential characteristics of the signal were saved, highlighting the efficiency of the proposed approach. Despite its effectiveness in controlled conditions (in buildings, indoors), environmental factors such as the presence of people, ventilation systems, and room layout can significantly alter the dynamics of CO2 concentrations, which may limit the implementation of this approach. Future studies will focus on the study of adaptive threshold mechanisms and context-dependent models that can adjust to changing conditions. This approach will expand the scope of application of the proposed two-to-one sampling technique in various practical situations. Y1 - 2025 UR - https://www.mdpi.com/1424-8220/25/13/4107 U6 - https://doi.org/10.3390/s25134107 VL - 25 IS - 13 SP - 1 EP - 18 PB - MDPI ER - TY - JOUR A1 - Pilgermann, Michael A1 - Werth, Sören A1 - Creutzburg, Reiner T1 - Towards sector specific security operation JF - Electronic Imaging KW - cybersecurity KW - information security KW - network security KW - IT security KW - Security Information Center KW - SOC KW - Security Information and Event Management KW - SIEM KW - security monitoring KW - health care KW - critical infrastructures KW - hospitals KW - HL7 KW - MLLP Y1 - 2020 U6 - https://doi.org/10.2352/ISSN.2470-1173.2020.3.MOBMU-254 SN - 2470-1173 SP - 254-1 EP - 254-10 PB - Society for Imaging Science and Technology CY - Springfield, VA ER - TY - CHAP A1 - Wikarski, Dietmar A1 - Aurah, Catherine A1 - Ebinga Osore, Emmanuel A1 - Mengich, Gladys A1 - Mutua, Gershom A1 - Ndiema, Alice A1 - Nkangi, Felister Nyaera A1 - Ogemah, Vitalis A1 - Okoth, Patrick A1 - Ondulo, Jasper A1 - Orata Omoto, Francis A1 - Wambui Mwangi, Mary A1 - Namayi, Vivian A1 - Flassig, Peter A1 - Loose, Harald A1 - Malessa, Reiner A1 - Piorr, Hans-Peter A1 - Schrader, Thomas A1 - Weber, Christian-Toralf ED - Wikarski, Dietmar T1 - Towards Practice-oriented Higher Education for Sustainable Rural Development in Western Kenya BT - Proceedings of the final workshop of the DAAD funded project ProUniEdu-WeK Brandenburg an der Havel, August 10-12th, 2021 N2 - The workshop proceedings contain the written versions of the presentations of the Kenyan participants of the final workshop of the DAAD-funded cooperation project "Practice-oriented Higher Education in Western Kenya" (ProUniEdu-WeK) in August 2021 at the Brandenburg University of Applied Sciences (THB). The contributions give an impression of what has been achieved in the last years on the way to practice-oriented higher education in the participating departments of the Masinde Muliro University of Science and Technology (MMUST) in cooperation with its partners from the THB and what is planned to be done in the years to come. KW - Manufacturing KW - 3D Printing KW - Additive Manufacturing KW - Bio-slurry KW - Biodigester KW - Biogas KW - CAD/CAM KW - Certification KW - CFD KW - Chronic illnesses KW - Collaboration KW - Communication Strategies KW - Competence KW - Computational Algorithms KW - COVID-19 KW - Cross-Flow Turbine KW - Diagnostic Toolkit KW - Digital Economy KW - Digitalisation KW - E-Health KW - Efficiency KW - Finite Element Method KW - Food Security KW - Health Communication KW - Higher Education KW - IoT KW - Learning Tool KW - Milling KW - Multi-disciplinarity KW - Organic Agriculture KW - Organic Farming KW - Organic Products KW - Pedagogy KW - Programming KW - Prosthetics KW - Prototyping KW - Robotics KW - Rural Areas KW - Rural Community KW - Rural Populations KW - Statistical Analysis KW - Telemedicine Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:522-opus4-27420 SP - 1 EP - 148 PB - Technische Hochschule Brandenburg CY - Brandenburg an der Havel ET - 1st edition ER - TY - CHAP A1 - Orlowski, Maximilian A1 - Knauff, Emilia A1 - Marquardt, Florian T1 - Towards Personal Assistants for Energy Processes Based on Locally Deployed LLMs T2 - Proceedings of the 17th International Conference on Agents and Artificial Intelligence (ICAART 2025) , 2025, Porto, Portugal N2 - This paper presents a coaching assistant for network operator processes based on a Retrieval-Augmented Gen- eration (RAG) system leveraging open-source Large Language Models (LLMs) as well as Embedding Models. The system addresses challenges in employee onboarding and training, particularly in the context of increased customer contact due to more complex and extensive processes. Our approach incorporates domain-specific knowledge bases to generate precise, context-aware recommendations while mitigating LLM hallucination. We introduce our systems architecture to run all components on-premise in an our own datacenter, ensuring data security and process knowledge control. We also describe requirements for underlying knowledge doc- uments and their impact on assistant answer quality. Our system aims to improve onboarding accuracy and speed while reducing senior employee workload. The results of our study show that realizing a coaching assistant for German network operators is reasonable, when addressing performance, correctness, integration and locality. However current results regarding accu- racy do not yet meet the requirements for productive use. Y1 - 2025 U6 - https://doi.org/10.5220/0013175600003890 SP - 695 EP - 706 PB - SCITEPRESS ER - TY - CHAP A1 - Vielhauer, Claus A1 - Loewe, Fabian A1 - Pilgermann, Michael T1 - Towards Modeling Hidden & Steganographic Malware Communication based on Images T2 - IH&MMSEC '25: ACM Workshop on Information Hiding and Multimedia Security, San Jose, CA, USA, 2025 N2 - Recently, an increasing number of IT security incidents involving malware, which makes use of hidden and steganographic channels for malicious communication (a.k.a. as "stegomalware"), can be observed in the wild. Especially the use of images to hide malicious code is rising. In consideration of this shift, a new model is proposed in this paper, which aims to help security professionals to identify and analyze incidents revolving around steganographic malware in the future. The model focuses on practical aspects of steganalysis of communication data to elaborate linking properties to previous code analysis knowledge. The model features two distinct roles that interact with a knowledge base which stores malware features and helps building a context for the incident. For evaluation, two image steganography malware types are chosen from popular databases (malpedia and MITRE ATT&CK®), which are analyzed in multiple steps including steganalysis and code analysis. It is conceptually shown, how the extracted features can be stored in a knowledge base for later use to identify stegomalware from communication data without the need of a thorough code analysis. This allows to uncover previously hidden meta-information about the examined malicious programs, enrich the incident’s forensic context traces and thus allows for thorough forensic insights, including attribution and improved preventive security measures in the future. Y1 - 2025 UR - https://dl.acm.org/doi/pdf/10.1145/3733102.3733152 U6 - https://doi.org/10.1145/3733102.3733152 SP - 52 EP - 63 ER - TY - CHAP A1 - Querner, Erich A1 - Ewerling, Philipp A1 - Kindsmüller, Martin Christof T1 - Touch gets it done, tangibles make it fun? Balancing objective accuracy and user experience T2 - Mensch und Computer 2025 - Workshopband : MCI-WS11: 18th Workshop “Be-greifbare Interaktion”. Chemnitz. 31. August - 03. September 2025 N2 - This study compares Tangible User Interfaces (TUIs) with conventional touch interfaces (CTIs) on multi-touch tables for exploratory multi-user map applications. We developed a prototype that enables multiple users to interact with map content simultaneously and independently. Four interaction methods were implemented and evaluated: gesture-based touch control, widget-based touch joystick control, and two tangible interaction variants (a joystick and car-steering metaphor). A user study with 15 participants was conducted in which users navigated predefined routes with varying difficulty. We collected both objective performance measurements and subjective user assessments. While touch-based methods yielded higher accuracy in objective metrics, TUI-based interactions were rated significantly better by participants in terms of user experience. Notably, the car-steering tangible control was particularly well-received, highlighting how physical, playful interaction can enhance usability despite lower accuracy. These findings contribute to our understanding of how different interaction paradigms support collaborative exploration on multi-touch surfaces. Y1 - 2025 U6 - https://doi.org/https://doi.org/10.18420/muc2025-mci-ws11-164 SP - 1 EP - 6 PB - Gesellschaft für Informatik ER - TY - JOUR A1 - Baecker, Christoph A1 - Alabbadi, Osama A1 - Yogiputra, Georgius Pradipta A1 - Tien Dung, Nguyen T1 - Threats provided by artificial intelligence that could disrupt the democratic system N2 - This research paper examines the potential consequences of AI technology on democratic systems. The study focuses on two main areas: the weakening of the media and the emergence of "smart dictatorship." The paper examines the ways in which AI can be used to supervise, manipulate, and frustrate the media, thereby weakening its role as a check on government and corporate power. The study also explores how AI technology can be used to create an "omnidirectional monitoring" society, where individuals are constantly monitored and controlled through the use of "panopticon" techniques and "social bots". This can lead to the emergence of a "postdemocratic" society, characterized by growing inequality, dehumanization, and the manipulation of information on online media platforms. The research methodology adopted in the study is qualitative, using expert interviews with three experts who discussed the overall use of AI and its disruptive effects on democracy, such as the creation of fake news, filter bubbles, and algorithm bias. In conclusion, this research highlights the need for increased awareness and regulation of AI technology to ensure its responsible use and to protect democratic values. KW - Künstliche Intelligenz KW - Demokratie KW - Wertordnung Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:522-opus4-28988 PB - Technische Hochschule Brandenburg ER - TY - JOUR A1 - Bassey, Uduak A1 - Rojek, Lukasz A1 - Hartmann, Michael A1 - Creutzburg, Reiner A1 - Volland, Arne T1 - The potential of NIR spectroscopy in the separation of plastics for pyrolysis JF - Electronic Imaging KW - identification KW - near-infrared KW - plasics KW - pyrolysis KW - separation KW - spectroscopy KW - wasre sorting KW - waste2energy Y1 - 2021 U6 - https://doi.org/10.2352/ISSN.2470-1173.2021.3.MOBMU-143 SN - 2470-1173 SP - 143-1 EP - 143-14 PB - Society for Imaging Science and Technology CY - Springfield, VA ER - TY - CHAP A1 - Richter, Nancy A1 - Wrobel, Martin T1 - The Impact of prototyping on the survival chances of digital early-stage startups: Findings and insights from explorative expert interviews T2 - Proceedings of the 18th European Conference on Innovation and Entrepreneurship, ECIE 2023 N2 - The products of digital entrepreneurs are highly innovative, and their business models contribute to the prosperity and further development of the economy and society. However, studies indicate that most of all startups fail, particularly during the early stages of their business journey Prototyping as part of Lean Startup or Business Model Testing approaches, can assist digital early-stage startups in navigating uncertainty and achieving successful product launches. However, these methods are applied very individually and there is little empirical research on best practices. We therefore conducted 65 explorative expert interviews and asked successful startups about their prototyping practices. Our results include learnings on the prototyping process and the testing format, the role of the founding team during prototyping practices, the customer focus and the role of networks. Our study adds important details to theory and practice of the innovation and prototyping processes of digital early-stage startups. Our results offer actionable advice and guidance to any current and potential entrepreneur, but especially to first-time founders and less experienced executives in early stage-startups. Additionally, our contribution enhances the theoretical understanding of the Lean Startup approach and prototyping practices. Y1 - 2023 U6 - https://doi.org/10.34190/ecie.18.2.1714 VL - 18 IS - 2 SP - 772 EP - 779 PB - Academic Conferences International Limited ER - TY - CHAP A1 - Simmering, Veronika A1 - Pfeiffer, Thies A1 - Kindsmüller, Martin Christof T1 - The Impact of Embodiment and Output Modality on Learning with Conversational Agents in VR T2 - GI Workshop 2025 on Virtual and Augmented Reality : VR/AR 2025, Lecture Notes in Informatics (LNI), Gesellschaft für Informatik, Bonn 2025 N2 - In Virtual Reality (VR) learning applications, the integration of pedagogical agents is particularly promising, as they function as a virtual social support. With the recent developments in Large Language Models (LLMs), conversational language models are now available that enable natural language interaction in a VR environment. We evaluated four possible designs for LLM-based agents (푛 = 21) in an aircraft-engine training. Focusing on the primary questions when bringing LLM-based agents into VR: whether to use text or speech and whether to embody the conversational agent in 3D or not. Pre- and post-tests were used to measure retention and questionnaires were used to measure the User Experience (UX) of different design variants. Contrary to our hypotheses, retention was higher when using a non-embodied design compared to an embodied design. The output modality did not have a significant impact on the learning success, but it did have an impact on the UX. Y1 - 2025 U6 - https://doi.org/10.18420/vrar2025_12 SN - 2944-7682 SP - 235 EP - 254 PB - Gesellschaft für Informatik ER - TY - JOUR A1 - Pufal, Jakob A1 - Shun, Hanna A1 - Ben Ammar, Rami A1 - Jeckstadt, Janik A1 - Schultheiß, John T1 - The Great Shutdown BT - How disruptive would a military escalation of the China-Taiwan-Conflict be to global economies? N2 - This research aims to examine the potential impact of a military escalation of the China-Taiwan conflict on global economies, with a particular focus on the microchip production industry in Taiwan. The academic paper will analyze the current economic ties between Taiwan and other countries, as well as the potential consequences of a disruption in trade and production caused by a military conflict. The research will also examine the role of Taiwan's microchip industry in the global supply chain and its potential vulnerability to a disruption in the event of a military escalation. Additionally, this scientific paper will explore the possible economic responses of other countries and the international community to a military escalation of the China-Taiwan conflict. The research will use a combination of the systematic literature review and the scenario technique to demonstrate potential impact of a military escalation of the China-Taiwan conflict on global economies, with a specific focus on the microchip production industry in Taiwan. KW - China Taiwan Conflict KW - China KW - Taiwan KW - China Taiwan War KW - microchip KW - semiconductor KW - foundry KW - TSMC KW - microchip manufacturing KW - Weltwirtschaft KW - Internationale Produktion KW - Chip KW - Fallstudie KW - Bewaffneter Konflikt Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:522-opus4-28942 ER - TY - JOUR A1 - Wang, Jing A1 - Harth, Kirsten A1 - Puzyrev, Dmitry A1 - Stannarius, Ralf T1 - The effect of obstacles near a silo outlet on the discharge of soft spheres JF - New Journal of Physics KW - fluid dynamics Y1 - 2022 U6 - https://doi.org/10.1088/1367-2630/ac8bea VL - 24 PB - IOP ER - TY - JOUR A1 - Rizun, Nina A1 - Revina, Aleksandra A1 - Edelmann, Noella T1 - Text analytics for co-creation in public sector organizations: a literature review-based research framework JF - Artificial Intelligence Review N2 - The public sector faces considerable challenges that stem from increasing external and internal demands, the need for diverse and complex services, and citizens' lack of satisfaction and trust in public sector organisations (PSOs). An alternative to traditional public service delivery is the co-creation of public services. Data analytics has been fueled by the availability of immense amounts of data, including textual data, and techniques to analyze data, so it has immense potential to foster data-driven solutions for the public sector. In the paper, we systematically review the existing literature on the application of Text Analytics (TA) techniques on textual data that can support public service co-creation. In this review, we identify the TA techniques, the public services and the co-creation phase they support, as well as envisioned public values for the stakeholder groups. On the basis of the analysis, we develop a Research Framework that helps to structure the TA-enabled co-creation process in PSOs, increases awareness among public sector organizations and stakeholders on the significant potential of TA in creating value, and provides scholars with some avenues for further research. Y1 - 2025 U6 - https://doi.org/10.1007/s10462-025-11112-1 SP - 1 EP - 45 ER - TY - JOUR A1 - Islam, Saiful A1 - Patil, Sanket Shrikant A1 - Rafajlovski, Goran A1 - Hartmann, Michael A1 - Creutzburg, Reiner T1 - Technical design and operational control of a decentralized microgrid in rural area JF - Electronic Imaging KW - AI KW - deep learning KW - micro grid KW - mobility KW - sustainability KW - transmission loss Y1 - 2021 U6 - https://doi.org/10.2352/ISSN.2470-1173.2021.3.MOBMU-097 SN - 2470-1173 SP - 97-1 EP - 97-7 PB - Society for Imaging Science and Technology CY - Springfield, VA ER - TY - JOUR A1 - Stein, Stefan A1 - Pilgermann, Michael A1 - Sedlmayr, Martin T1 - Systematic Evaluation of Manufacturer Disclosure Statements for Medical Device Security (MDS2) to Strengthen Hospital OT Security Measures – Lessons Learned JF - Studies in health technology and informatics N2 - The growing number of connected medical devices in hospitals poses serious operational technology (OT) security challenges. Effective countermeasures require a structured analysis of the communication interfaces and security configurations of individual devices. State of the art: Although Manufacturer Disclosure Statements for Medical Device Security (MDS2, Version 2019) offer relevant information, they are rarely integrated into cybersecurity workflows. Existing studies are limited in scope and lack scalable methodologies for systematic evaluation. Concept: This study analyzed 209 MDS2 documents and 161 security white papers to extract structured information on ports, protocols, and protective measures. Over 52,000 question–answer pairs were converted into a machine-readable format using customized parsing and validation routines. The aim was to establish whether this dataset could inform risk assessments and future applications involving Large Language Models (LLMs). Implementation: The analysis revealed 367 distinct ports, including common protocols such as HTTPS (443), DICOM (104), and RDP (3389), as well as vendor-specific proprietary ports. Approximately 40% of the devices used over 20 ports, indicating a broad attack surface. OCR errors and inconsistent formatting required manual corrections. A consolidated dataset was developed to support clustering, comparison across vendors and versions, and preparation for downstream LLM use, particularly via structured SBOM and configuration data. Lessons learned: Although no model training was conducted, the structured dataset can support AI-based OT security workflows. The findings highlight the critical need for up-to-date, machine-readable manufacturer data in standardized formats and schemas. Such information could greatly enhance the automation, comparability, and scalability of hospital cybersecurity measures. Y1 - 2025 U6 - https://doi.org/10.3233/SHTI251404 VL - 331 SP - 256 EP - 264 ER - TY - INPR A1 - Vogel, Sven K. A1 - Wölfer, Christian A1 - Ramirez-Diaz, Diego A. A1 - Flassig, Robert J. A1 - Sundmacher, Kai A1 - Schwille, Petra T1 - Symmetry breaking and emergence of directional flows in minimal actomyosin cortices KW - bottom-up synthetic biology KW - motor proteins KW - pattern formation KW - self-organization Y1 - 2020 UR - https://www.preprints.org/manuscript/202004.0008/v1 U6 - https://doi.org/10.20944/preprints202004.0008.v1 ER - TY - JOUR A1 - Vogel, Sven A1 - Wölfer, Christian A1 - Ramirez-Diaz, Diego A1 - Flassig, Robert A1 - Sundmacher, Kai A1 - Schwille, Petra T1 - Symmetry Breaking and Emergence of Directional Flows in Minimal Actomyosin Cortices JF - Cells N2 - Cortical actomyosin flows, among other mechanisms, scale up spontaneous symmetry breaking and thus play pivotal roles in cell differentiation, division, and motility. According to many model systems, myosin motor-induced local contractions of initially isotropic actomyosin cortices are nucleation points for generating cortical flows. However, the positive feedback mechanisms by which spontaneous contractions can be amplified towards large-scale directed flows remain mostly speculative. To investigate such a process on spherical surfaces, we reconstituted and confined initially isotropic minimal actomyosin cortices to the interfaces of emulsion droplets. The presence of ATP leads to myosin-induced local contractions that self-organize and amplify into directed large-scale actomyosin flows. By combining our experiments with theory, we found that the feedback mechanism leading to a coordinated directional motion of actomyosin clusters can be described as asymmetric cluster vibrations, caused by intrinsic non-isotropic ATP consumption with spatial confinement. We identified fingerprints of vibrational states as the basis of directed motions by tracking individual actomyosin clusters. These vibrations may represent a generic key driver of directed actomyosin flows under spatial confinement in vitro and in living systems. Y1 - 2020 UR - https://www.mdpi.com/2073-4409/9/6/1432 U6 - https://doi.org/10.3390/cells9061432 SP - 1 EP - 10 PB - MDPI ER -