TY - JOUR A1 - Schöning, Michael Josef A1 - Poghossian, Arshak T1 - Silicon-based field-effect devices with nanostructured surfaces for bio-/chemical sensing JF - Semiconductor micro- and nanoelectronics : Proceedings of the Seventh International Conference , Tsakhcadzor, Armenia July 3-5 2009 Y1 - 2009 SP - 51 EP - 53 ER - TY - BOOK A1 - Laack, Walter van T1 - Größer als das ganze Universum Y1 - 2021 SN - 978-3-936624-38-0 PB - van Laack GmbH CY - Aachen ER - TY - JOUR A1 - Rau, Christoph A1 - Alexopoulos, Spiros A1 - Breitbach, Gerd A1 - Hoffschmidt, Bernhard A1 - Latzke, Markus A1 - Sattler, Johannes Christoph T1 - Transient simulation of a solar-hybrid tower power plant with open volumetric receiver at the location Barstow JF - Energy procedia : proceedings of the SolarPACES 2013 International Conference N2 - In this work the transient simulations of four hybrid solar tower power plant concepts with open-volumetric receiver technology for a location in Barstow-Daggett, USA, are presented. The open-volumetric receiver uses ambient air as heat transfer fluid and the hybridization is realized with a gas turbine. The Rankine cycle is heated by solar-heated air and/or by the gas turbine's flue gases. The plant can be operated in solar-only, hybrid parallel or combined cycle-only mode as well as in any intermediate load levels where the solar portion can vary between 0 to 100%. The simulated plant is based on the configuration of a solar-hybrid power tower project, which is in planning for a site in Northern Algeria. The meteorological data for Barstow-Daggett was taken from the software meteonorm. The solar power tower simulation tool has been developed in the simulation environment MATLAB/Simulink and is validated. Y1 - 2014 U6 - https://doi.org/10.1016/j.egypro.2014.03.157 SN - 1876-6102 VL - 49 SP - 1481 EP - 1490 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Heuermann, Holger A1 - Thalayasingam, K. T1 - Novel vector non-linear measurement system for intermodulation measurements / Thalayasingam, K.; Heuermann, H. JF - European Microwave Conference, 2009 : EuMC 2009 ; Sept. 29, 2009 - Oct. 1, 2009, Rome, Italy ; part of European Microwave Week (EuMW) / sponsored by EuMA, European Microwave Association ... Endorsed by IEEE Y1 - 2009 SN - 978-1-4244-4748-0 N1 - European Microwave Conference ; (39 : ; 2009.09.29-10.01 : ; Rome) SP - 926 EP - 929 PB - IEEE CY - Piscataway, NJ ER - TY - JOUR A1 - Spelthahn, Heiko A1 - Poghossian, Arshak A1 - Schöning, Michael Josef T1 - Self-aligned nanogaps and nanochannels via conventional photolithography and pattern-size reduction technique JF - Electrochimica Acta. 54 (2009), H. 25 Sp. Iss. SI Y1 - 2009 SN - 0013-4686 SP - 6010 EP - 6014 ER - TY - VIDEO A1 - Ritz, Thomas T1 - Multiplattformentwicklung für mobile Informationssysteme : eine strategische Perspektive T2 - Info-Veranstaltung Multiplattform-Entwicklung für mobile Anwendungen, Dezember 2013 Y1 - 2014 ER - TY - JOUR A1 - Ritz, Thomas A1 - Stender, Michael T1 - Modeling of B2B mobile commerce processes JF - International Journal of Production Economics Y1 - 2006 U6 - https://doi.org/10.1016/j.ijpe.2005.05.017 SN - 0925-5273 VL - 101 IS - 1 SP - 128 EP - 139 ER - TY - BOOK A1 - Weigand, Christoph T1 - Statistik mit und ohne Zufall : eine anwendungsorientierte Einführung ; mit 10 Tabellen / Christoph Weigand Y1 - 2006 SN - 3-7908-1693-0 N1 - [Neuere Aufl. vorh.] https://doi.org/10.1007/978-3-662-59309-7 PB - Physica-Verl. CY - Heidelberg ER - TY - THES A1 - Jacobsen, Finn T1 - Designexperiments with Artificial Intelligence N2 - Künstliche Intelligenz (KI) hat die Designbranche erreicht, doch die Angst, dass KI Designer:innen die Arbeitsplätze wegnimmt, ist unbegründet. Künstliche Intelligenz kann Designer:innen als Werkzeug dienen. Durch das Zusammenspiel von Designer:innen und KI entstehen innerhalb von kürzester Zeit neuartige Kreationen. Das Projekt „Designexperiments with Artificial Intelligence“ ist eine Sammlung von visuellen Experimenten, welche mit der Hilfe von künstlicher Intelligenz durchgeführt wurden. Eines dieser Experimente wird in Form einer Installation ausgestellt. Dabei werden die Besucher*innen aufgefordert mit der Maschine zusammen ein Bild zu gestalten. Dieser Input wird anschließend von einer KI verarbeitet. Das Projekt „Designexperimente with Artificial Intelligence“ ist ein Versuch, mittels künstlicher Intelligenz eine neue Ästhetik zu finden. KW - Künstliche Intelligenz KW - Experimente KW - Installation KW - KI Kunst KW - Pix2Pix Y1 - 2023 PB - FH Aachen CY - Aachen ER - TY - CHAP A1 - Brauner, Philipp A1 - Vervier, Luisa A1 - Brillowski, Florian A1 - Dammers, Hannah A1 - Steuer-Dankert, Linda A1 - Schneider, Sebastian A1 - Baier, Ralph A1 - Ziefle, Martina A1 - Gries, Thomas A1 - Leicht-Scholten, Carmen A1 - Mertens, Alexander A1 - Nagel, Saskia K. T1 - Organization Routines in Next Generation Manufacturing T2 - Forecasting Next Generation Manufacturing N2 - Next Generation Manufacturing promises significant improvements in performance, productivity, and value creation. In addition to the desired and projected improvements regarding the planning, production, and usage cycles of products, this digital transformation will have a huge impact on work, workers, and workplace design. Given the high uncertainty in the likelihood of occurrence and the technical, economic, and societal impacts of these changes, we conducted a technology foresight study, in the form of a real-time Delphi analysis, to derive reliable future scenarios featuring the next generation of manufacturing systems. This chapter presents the organization dimension and describes each projection in detail, offering current case study examples and discussing related research, as well as implications for policy makers and firms. Specifically, we highlight seven areas in which the digital transformation of production will change how we work, how we organize the work within a company, how we evaluate these changes, and how employment and labor rights will be affected across company boundaries. The experts are unsure whether the use of collaborative robots in factories will replace traditional robots by 2030. They believe that the use of hybrid intelligence will supplement human decision-making processes in production environments. Furthermore, they predict that artificial intelligence will lead to changes in management processes, leadership, and the elimination of hierarchies. However, to ensure that social and normative aspects are incorporated into the AI algorithms, restricting measurement of individual performance will be necessary. Additionally, AI-based decision support can significantly contribute toward new, socially accepted modes of leadership. Finally, the experts believe that there will be a reduction in the workforce by the year 2030. Y1 - 2022 SN - 978-3-031-07734-0 U6 - https://doi.org/10.1007/978-3-031-07734-0_5 SP - 75 EP - 94 PB - Springer CY - Cham ER -