TY - CHAP A1 - Neef, Matthias A1 - Hummel, Dietrich ED - Mueller, Thomas J. T1 - Euler Solutions for a Finite-Span Flapping Wing T2 - Fixed and Flapping Wing Aerodynamics for Micro Air Vehicle Applications Y1 - 2001 SN - 978-1-56347-517-7 U6 - https://doi.org/10.2514/5.9781600866654.0429.0451 VL - 16 SP - 429 EP - 451 PB - American Institute of Aeronautics and Astronautics CY - Reston, VA ER - TY - CHAP A1 - Neef, Matthias A1 - Hummel, D. ED - Krause, Egon ED - Jäger, Willi T1 - Euler and Navier-Stokes Solutions for Flapping Wing Propulsion T2 - High Performance Computing in Science and Engineering ’01 KW - Wing Motion KW - Computational Fluid Dynamics KW - High Performance Computing KW - Thrust Coefficient Y1 - 2002 SN - 978-3-642-62719-4 U6 - https://doi.org/10.1007/978-3-642-56034-7_37 VL - 30 SP - 386 EP - 395 PB - Springer CY - Berlin ER - TY - JOUR A1 - Greil, Stefan A1 - Schwarz, Christian A1 - Stein, Stefan T1 - ESG Value Creation from a Transfer Pricing Perspective JF - International Transfer Pricing Journal N2 - Achieving environmental, social and governance (ESG) targets has become one of the most important challenges for multinational enterprises (MNEs). However, ESG initiatives have received rather little attention so far from a transfer pricing perspective. This article explores how ESG initiatives can alter the existing value creation within MNEs from a transfer pricing perspective. KW - Environmental, Social and Governance KW - Multinationales Unternehmen KW - Wertschöpfung KW - Verrechnungspreis Y1 - 2023 U6 - https://doi.org/10.59403/csvtb1 SN - 2352-9172 VL - 30 IS - 2 PB - International Bureau of Fiscal Documentation ER - TY - JOUR A1 - Çiçek, Aydın A1 - Koçyiğit, Ali T1 - Episodic evolution and active tectonics of the Karamık Graben in the apex of Isparta Angle, SW Türkiye JF - Mediterranean Geoscience Reviews KW - Neotektonik KW - Verwerfung KW - Kurve von Isparta KW - Karamık Graben KW - Anatolien Y1 - 2025 U6 - https://doi.org/10.1007/s42990-024-00151-5 SN - 2661-863X PB - Springer Nature ER - TY - CHAP A1 - Herder, Jens A1 - Cohen, Michael ED - Gorayska, Barbara ED - Nehaniv, Chrystopher L. ED - Marsh, Jonathon P. T1 - Enhancing Perspicuity of Objects in Virtual Reality Environments T2 - Proceedings, Second International Conference on Cognitive Technology N2 - In an information-rich Virtual Reality (VR) environment, the user is immersed in a world containing many objects providing that information. Given the finite computational resources of any computer system, optimization is required to ensure that the most important information is presented to the user as clearly as possible and in a timely fashion. In particular, what is desired are means whereby the perspicuity of an object may be enhanced when appropriate. An object becomes more perspicuous when the information it provides to the user becomes more readily apparent. Additionally, if a particular object provides high-priority information, it would be advantageous to make that object obtrusive as well as highly perspicuous. An object becomes more obtrusive if it draws attention to itself (or equivalently, if it is hard to ignore). This paper describes a technique whereby objects may dynamically adapt their representation in a user's environment according to a dynamic priority evaluation of the information each object provides. The three components of our approach are: - an information manager that evaluates object information priority, - an enhancement manager that tabulates rendering features associated with increasing object perspicuity and obtrusion as a function of priority, and - a resource manager that assigns available object rendering resources according to features indicated by the enhancement manager for the priority set for each object by the information manager. We consider resources like visual space (pixels), sound spatialization channels (mixels), MIDI/audio channels, and processing power, and discuss our approach applied to different applications. Assigned object rendering features are implemented locally at the object level (e.g., object facing the user using the billboard node in VRML 2.0) or globally, using helper applications (e.g., active spotlights, semi-automatic cameras). KW - autonomous actors KW - obtrusion KW - perspicuity KW - spatial media KW - spatialization KW - user interface design man-machine interfaces KW - Virtual Reality Y1 - 1997 SN - 0-8186-8084-9 SP - 228 EP - 237 PB - IEEE CY - Los Alamitos ER - TY - CHAP A1 - Iria, Jose A1 - Preisach, Christine A1 - Slavazza, Piercarlo A1 - Uren, Victoria A1 - Lavelli, Alberto A1 - Blohm, Sebastian A1 - Dadzie, Aba-Sah A1 - Franz, Thomas A1 - Kompatsiaris, Ioannis A1 - Magalhaes, Joao A1 - Nikolopoulos, Spiros ED - Sleeman, Derek ED - Barker, Ken T1 - Enhancing enterprise knowledge processes via cross-media extraction T2 - Proceedings of the 4th international conference on Knowledge capture Y1 - 2007 UR - http://www.uni-koblenz.de/FB4/Institutes/IFI/AGStaab/People/Franz/pubs/x-media-kcap.pdf SN - 978-1-59593-643-1 U6 - https://doi.org/10.1145/1298406.1298441 SP - 175 EP - 176 PB - ACM CY - New York, NY ER - TY - JOUR A1 - Berkant Özel, Mehmet A1 - Durmaz, Ufuk A1 - Nur Öz, Muhammed Ali A1 - Ümit Tepe, Ahmet A1 - Öz, Cemil A1 - Uysal, Ünal A1 - Yalçinkaya, Orhan A1 - Cemal Beni̇m, Ali A1 - Alomayrah, Norah A1 - Al-Buriahi, M.S. T1 - Enhanced prediction of heat transfer in jet impingement cooling using an artificial intelligence: A case study JF - Case Studies in Thermal Engineering N2 - This paper is about the gas turbine cooling model using the extended jet array. The aim of the present study is to explain the effect of the impinging jet configuration of elongated jet holes on the heat transfer distribution with a deep Convolutional Neural Network (CNN). CNNs preserve spatial relationships through convolutional operations—unlike traditional Artificial Neural Networks (ANNs), which require flattening of input data—allowing for higher accuracy with smaller datasets and faster training due to fewer trainable parameters. The goal is to understand how accurate and fast deep learning models with limited data can deliver predictions for complex systems such as jet impingement cooling. The proposed CNN model was compared with the numerical and experimental data. Jet impingement cooling was examined with four different Reynolds numbers (16250, 21700, 27100, 36250) and six dimensionless gaps between the jet and the target surface (G/D = 1, 2, 3, 4, 5, and 6). Mean and local Nusselt number (Nu) distributions were investigated in particular. G/D = 2 was selected as the test data for the model among the configurations. While the CFD model failed to identify this peak performance point, the CNN model accurately captured this maximum behavior despite being trained only on other configurations. Moreover, the CNN model demonstrated more suitable prediction accuracy in the first two jet impingement regions than the CFD data, especially in capturing peak Nusselt numbers and localized hot spots. It has been determined that the CNN model provided more accurate predictions of the local Nusselt numbers within the measurement region compared to the Computational Fluid Dynamics (CFD) study for the average Nu, the proposed CNN model showed a closer agreement to experimental data than numerical simulation by 4.15 % at the Re = 32500 and G/D = 2. KW - Maschinelles Lernen KW - Deep Learning KW - Numerische Strömungssimulation KW - Konvektion KW - Kühlung KW - Gasturbine Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:due62-opus-55017 SN - 2214-157X VL - 73 PB - Elsevier ER - TY - JOUR A1 - Bisig, André A1 - Akosa, Collins Ashu A1 - Moon, Jung-Hwan A1 - Rhensius, Jan A1 - Moutafis, Christoforos A1 - von Bieren, Arndt A1 - Heidler, Jakoba A1 - Kiliani, Gillian A1 - Kammerer, Matthias A1 - Curcic, Michael A1 - Weigand, Markus A1 - Tyliszczak, Tolek A1 - Van Waeyenberge, Bartel A1 - Stoll, Hermann A1 - Schütz, Gisela A1 - Lee, Kyung-Jin A1 - Manchon, Aurelien A1 - Kläui, Mathias T1 - Enhanced Nonadiabaticity in Vortex Cores due to the Emergent Hall Effect JF - Physical Review Letters Y1 - 2016 U6 - https://doi.org/10.1103/PhysRevLett.117.277203 SN - 0031-9007 N1 - The accepted manuscript is available via CHORUS: https://link.aps.org/accepted/10.1103/PhysRevLett.117.277203 VL - 117 IS - 27 PB - American Physical Society ER - TY - JOUR A1 - Mandal, Dipak Kumar A1 - Manna, Nirmal K. A1 - Biswas, Nirmalendu A1 - Rudra, Tansu A1 - Kumar, Rajesh A1 - Benim, Ali Cemal T1 - Enhanced heat transport in magneto-nanofluidic thermal systems: adiabatic block effects in grooved channels and ANN modeling JF - International Journal of Thermofluids N2 - This study investigates heat transfer enhancement in magneto-nanofluidic systems through the strategic placement of adiabatic blocks in grooved channels. Using CuO–H2O nanofluid in a bottom-heated channel with circular expansion, we examine the complex interactions between forced convection, magnetic fields, and uoyancy effects. Through systematic numerical analysis, we explore the combined influences of Rayleigh, Reynolds, and Hartmann numbers on thermal performance. Our findings reveal significant heat transfer enhancement (up to 137 %) under optimal conditions, particularly with vertical magnetic field orientation at Re = 100 and Ha = 30. The results demonstrate how adiabatic blocks modify flow structures, with larger blocks diminishing vortex intensity while elevated Ra generates secondary vortices that interact with primary circulations. Magnetic field effects show notable dependence on orientation, with vertical fields generally promoting better heat transfer than horizontal configurations. To complement the numerical analysis, we develop a predictive model using Artificial Neural Network (ANN) for Nusselt numbers across various operating conditions, achieving over 99 % accuracy. The integrated computational-ANN approach offers significant advancements in optimizing thermal systems in various areas, ranging from electronics cooling to microfluidic devices. KW - Mixed convective flow KW - Nanofluids KW - Heat transfer augmentation KW - Adiabatic block KW - Grooved channel KW - Neural network KW - HSD Publikationsfonds Y1 - 2026 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:due62-opus-60127 SN - 2666-2027 VL - 31 PB - Elsevier ER - TY - JOUR A1 - Biswas, Nirmalendu A1 - Mandal, Dipak Kumar A1 - Manna, Nirmal K. A1 - Benim, Ali Cemal T1 - Enhanced energy and mass transport dynamics in a thermo-magneto-bioconvective porous system containing oxytactic bacteria and nanoparticles: cleaner energy application JF - Energy Y1 - 2023 U6 - https://doi.org/10.1016/j.energy.2022.125775 SN - 0360-5442 VL - 263 IS - B PB - Elsevier ER -