TY - GEN A1 - Gottschald, Jonas A1 - Reich, Marius A1 - Adam, Mario T1 - Lernende Algorithmen - Künstliche Intelligenz für Wärmenetze T2 - hn21 Journal KW - BestHeatNet Y1 - 2021 UR - https://www.hn-nrw.de/aktivitaeten/publikationen/journal/# IS - 2021 SP - 8 EP - 8 PB - Zentrum für Forschungskommunikation CY - Köln ER - TY - GEN A1 - Backes, Klaus A1 - Adam, Mario T1 - KWKK-Anlagen im Feldtest (Teil 1) T2 - SHT Sanitär + Heizungstechnik KW - Kraft-Wärme-Kälte-Kopplung im Leistungsbereich von 10 kW Y1 - 2012 SN - 0036-4401 VL - 77 IS - 3 SP - 40 EP - 44 PB - Krammer ER - TY - GEN A1 - Backes, Klaus A1 - Adam, Mario T1 - KWKK-Anlagen im Feldtest (Teil 2) T2 - SHT Sanitär + Heizungstechnik KW - Kraft-Wärme-Kälte-Kopplung im Leistungsbereich von 10 kW Y1 - 2012 SN - 0036-4401 VL - 77 IS - 4 SP - 50 EP - 53 PB - Kramer ER - TY - GEN A1 - Backes, Klaus A1 - Adam, Mario A1 - Gottschald, Jonas T1 - KWKK-Anlagen im Feldtest. Optimaler Betrieb durch Verbesserungen bei Regelung und Hydraulik T2 - KK Die Kälte + Klimatechnik KW - Kraft-Wärme-Kälte-Kopplung im Leistungsbereich von 10 kW - 2 Y1 - 2012 SN - 0343-2246 VL - 65 IS - 3 SP - 20 EP - 27 PB - Alfons W. Gentner Verlag ER - TY - GEN A1 - de Carvalho, Raphael A1 - Heinze, Robert A1 - Ille, Fabian A1 - Adam, Mario A1 - Kameier, Frank A1 - Schauenberg, Udo T1 - Verbesserte energetische Prognose von air conomy Modulen. Vergleich zwischen Design of Experiments (DoE) und Dimensionsanalyse (Teil 2) T2 - HLH Lüftung/Klima, Heizung/Sanitär, Gebäudetechnik Y1 - 2012 VL - 63 IS - 9 SP - 32 EP - 36 PB - Springer VDI-Verlag ER - TY - GEN A1 - Adam, Mario A1 - Lohmann, Sandra T1 - Solare Kühlung – Dynamische Rechnersimulationen und Parametervariationen T2 - KI Kälte - Luft - Klimatechnik KW - Solare Kühlung Y1 - 2011 SN - 1865-5432 VL - 47 IS - 5 SP - 22 EP - 26 PB - Hüthig ER - TY - JOUR A1 - Deckert, Carsten A1 - Schomaker, Rahel M. T1 - Cultural tightness–looseness and national innovativeness: impacts of tolerance and diversity of opinion JF - Journal of Innovation and Entrepreneurship N2 - The links between innovativeness as a driver of economic performance, and the determinants of innovativeness have been investigated by management scholars and economists for decades, focusing mostly on “hard factors” as investment in research and development, or education. Focusing on a relatively neglected, but in times of globalization even more important aspect, the infuence of cultural characteristics on innovativeness, we apply diferent econometric models to test for links between cultural tightness and looseness on the one hand, and national innovativeness on the other hand. We fnd that cultural tightness—in the sense of homogenous and intolerant societies—has a negative link to national innovativeness, while cultural looseness—in the sense of tolerant and diverse societies—displays a positive link to national innovativeness. KW - DOAJ KW - DEAL KW - Innovation KW - Kultur KW - Toleranz KW - Diversity of opinion Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:due62-opus-36515 SN - 2192-5372 VL - 11 SP - 1 EP - 19 PB - Springer Nature ER - TY - JOUR A1 - Krebs, Christian A1 - Müller, Patrick A1 - Braun, Alexander T1 - Impact of Windshield Optical Aberrations on Visual Range Camera Based Classification Tasks Performed by CNNs JF - London Imaging Meeting Y1 - 2021 SN - 0-89208-346-6 U6 - https://doi.org/10.2352/issn.2694-118X.2021.LIM-83 SN - 2694-118X VL - 2021 IS - 1 SP - 83 EP - 87 PB - Ingenta connect ER - TY - CHAP A1 - Mueller, Patrick A1 - Lehmann, Matthias A1 - Braun, Alexander T1 - Simulating tests to test simulation T2 - IS&T International Symposium on Electronic Imaging 2020: Autonomous Vehicles and Machines, 26 January 2020 — 30 January 2020, Burlingame, CA, USA Y1 - 2020 U6 - https://doi.org/10.2352/ISSN.2470-1173.2020.16.AVM-149 VL - 2020 IS - 16 PB - Society for Imaging Science and Technology ER - TY - JOUR A1 - Müller, Patrick A1 - Brummel, Mattis A1 - Braun, Alexander T1 - Spatial recall index for machine learning algorithms JF - London Imaging Meeting N2 - We present a novel metric Spatial Recall Index to assess the performance of machine-learning (ML) algorithms for automotive applications, focusing on where in the image which performance occurs. Typical metrics like intersection-over-union (IoU), precisionrecallcurves or average precision (AP) quantify the performance over a whole database of images, neglecting spatial performance variations. But as the optics of camera systems are spatially variable over the field of view, the performance of ML-based algorithms is also a function of space, which we show in simulation: A realistic objective lens based on a Cooke-triplet that exhibits typical optical aberrations like astigmatism and chromatic aberration, all variable over field, is modeled. The model is then applied to a subset of the BDD100k dataset with spatially-varying kernels. We then quantify local changes in the performance of the pre-trained Mask R-CNN algorithm. Our examples demonstrate the spatial dependence of the performance of ML-based algorithms from the optical quality over field, highlighting the need to take the spatial dimension into account when training ML-based algorithms, especially when looking forward to autonomous driving applications. Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:due62-opus-35657 SN - 0-89208-346-6 VL - 2021 IS - 1 SP - 58 EP - 62 PB - Society for Imaging Science and Technology ER - TY - JOUR A1 - Tseng, Ethan A1 - Mosleh, Ali A1 - Mannan, Fahim A1 - St-Arnaud, Karl A1 - Sharma, Avinash A1 - Peng, Yifan A1 - Braun, Alexander A1 - Nowrouzezahrai, Derek A1 - Lalonde, Jean-François A1 - Heide, Felix T1 - Differentiable Compound Optics and Processing Pipeline Optimization for End-to-end Camera Design JF - ACM Transactions on Graphics N2 - Most modern commodity imaging systems we use directly for photography‐-or indirectly rely on for downstream applications‐-employ optical systems of multiple lenses that must balance deviations from perfect optics, manufacturing constraints, tolerances, cost, and footprint. Although optical designs often have complex interactions with downstream image processing or analysis tasks, today’s compound optics are designed in isolation from these interactions. Existing optical design tools aim to minimize optical aberrations, such as deviations from Gauss’ linear model of optics, instead of application-specific losses, precluding joint optimization with hardware image signal processing (ISP) and highly parameterized neural network processing. In this article, we propose an optimization method for compound optics that lifts these limitations. We optimize entire lens systems jointly with hardware and software image processing pipelines, downstream neural network processing, and application-specific end-to-end losses. To this end, we propose a learned, differentiable forward model for compound optics and an alternating proximal optimization method that handles function compositions with highly varying parameter dimensions for optics, hardware ISP, and neural nets. Our method integrates seamlessly atop existing optical design tools, such as Zemax. We can thus assess our method across many camera system designs and end-to-end applications. We validate our approach in an automotive camera optics setting‐-together with hardware ISP post processing and detection‐-outperforming classical optics designs for automotive object detection and traffic light state detection. For human viewing tasks, we optimize optics and processing pipelines for dynamic outdoor scenarios and dynamic low-light imaging. We outperform existing compartmentalized design or fine-tuning methods qualitatively and quantitatively, across all domain-specific applications tested. Y1 - 2021 U6 - https://doi.org/10.1145/3446791 SN - 1557-7368 VL - 40 IS - 2 SP - 1 EP - 19 PB - Association for Computing Machinery CY - New York, NY, USA ER - TY - JOUR A1 - Wittpahl, Christian A1 - Deegan, Brian A1 - Black, Bob A1 - Braun, Alexander T1 - An analytic-numerical image flicker study to test novel flicker metrics JF - Electronic Imaging: Society for Imaging Science and Technology Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:due62-opus-35671 SN - 2470-1173 IS - 17 SP - 1 EP - 8 PB - Society for Imaging Science and Technology ER - TY - JOUR A1 - Wittpahl, Christian A1 - Zakour, Hatem Ben A1 - Lehmann, Matthias A1 - Braun, Alexander T1 - Realistic Image Degradation with Measured PSF JF - Electronic Imaging, Autonomous Vehicles and Machines 2018 KW - SiL/HiL Y1 - 2018 U6 - https://doi.org/10.2352/ISSN.2470-1173.2018.17.AVM-149 SN - 2470-1173 IS - 17 PB - Society for Imaging Science and Technology ER - TY - THES A1 - Braun, Alexander T1 - Addressing Single Yb+ Ions: A new scheme for quantum computing in linear ion traps Y1 - 2007 SN - 978-3-86727-276-6 PB - Cuvillier Verlag CY - Göttingen ER - TY - CHAP A1 - Balzer, Christoph A1 - Hannemann, Th. A1 - Wunderlich, Chr. A1 - Braun, Alexander A1 - Ettler, M. A1 - Paape, Chr. A1 - Neuhauser, W. T1 - Efficient photoionisation, preparation and coherent manipulation of trapped /sup 171/Yb/sup +/-ions T2 - EQEC '05. European Quantum Electronics Conference, 12-17 June 2005, Munich Y1 - 2005 UR - http://ieeexplore.ieee.org/document/1567474/ SN - 0-7803-8973-5 U6 - https://doi.org/10.1109/EQEC.2005.1567474 SP - 308 PB - IEEE ER - TY - CHAP A1 - Adam, Mario A1 - Dreher, Martina A1 - Schramm, Sebastian A1 - Anthrakidis, Anette A1 - Faber, Christian A1 - Lanz, Marco T1 - Solare-ProzesswärmeStandards. Poster Session T2 - World Sustainable Energy Days 2011, 2.-4. März, Wels KW - Solare-Prozesswärme-Standards KW - Poster Y1 - 2011 CY - Wels ER - TY - GEN A1 - Frank, Lena A1 - Rödder, Maximilian A1 - Neef, Matthias A1 - Adam, Mario T1 - Heizung, Lüftung, Weiße Ware – Ein integriertes Systemkonzept für das Haus der Zukunft T2 - KKA – Kälte Klima Aktuell KW - energiBUS4home Y1 - 2018 SN - 0722-4605 VL - 37 IS - 4 SP - 42 EP - 47 PB - Bauverl. BV ER - TY - GEN A1 - Lambach, Stefan A1 - Lohmann, Sandra A1 - Adam, Mario T1 - Jahres-Energieeffizienz von Kühlgeräten zur Klimatisierung – Vergleich von Normberechnung und Jahressimulationen, T2 - KI Kälte Luft Klimatechnik KW - Coolplan-AIR Y1 - 2018 VL - 54 IS - 5 SP - 50 EP - 55 PB - Hüthig ER - TY - GEN A1 - Wirth, Hans Peter A1 - Gottschald, Jonas A1 - Ille, Fabian A1 - Adam, Mario T1 - Monitoring von Solarthermieanlagen T2 - IKZ-Energy KW - ST2000-LangEff Y1 - 2018 UR - https://www.ikz.de/detail/news/detail/monitoring-von-solarthermischen-grossanlagen/ VL - 41 IS - 1/2 SP - 8 EP - 11 PB - STROBEL VERLAG ER - TY - GEN A1 - Wirth, Hans Peter A1 - Gottschald, Jonas A1 - Ille, Fabian A1 - Adam, Mario T1 - Wärme: Zuverlässige Kollektoren liefern hohe Solarerträge: Monitoring von Solarthermieanlagen T2 - Sonne, Wind & Wärme KW - ST2000-LangEff Y1 - 2017 UR - 1861-2741 VL - 41 IS - 4 SP - 81 EP - 83 PB - VDE Verlag ER - TY - GEN A1 - Kowalski, M. A1 - Adam, Mario A1 - Backes, Klaus T1 - Vermessung der SorTech-Adsorptionskältemaschine ACS 08 T2 - KI Kälte - Luft - Klimatechnik KW - Coolplan Y1 - 2015 UR - https://www.ki-portal.de/wp-content/uploads/2015/10/KI_2015_08-09_Wissenschaft_Adam.pdf SN - 1865-5432 VL - 51 IS - 10 SP - 26 EP - 30 PB - Hüthig ER -