TY - CHAP A1 - Golland, Alexander ED - Taeger, Jürgen T1 - Dynamic Pricing: Algorithmen zwischen Ökonomie und Datenschutz T2 - Die Macht der Daten und der Algorithmen - Regulierung von IT, IoT und KI Y1 - 2019 SN - 978-3-95599-061-9 N1 - 20. Herbstakademie 2019 Die Macht der Daten und der Algorithmen – Regulierung von IT, IoT und KI 11.09.-14.09.2019 in der Freien Hansestadt Bremen, Bremer Rathaus/Bremenhalle (Flughafen), Deutschland SP - 61 EP - 75 PB - OlWIR Verlag für Wirtschaft, Informatik und Recht CY - Edewecht ER - TY - CHAP A1 - Golland, Alexander ED - Ochs, Carsten ED - Friedewald, Michael ED - Hess, Thomas ED - Lamla, Jörn T1 - Datenschutzregulierung als Eingriff in Wertschöpfungsmodelle T2 - Die Zukunft der Datenökonomie : zwischen Geschäftsmodell, Kollektivgut und Verbraucherschutz N2 - Das Kopplungsverbot verbietet, die Nutzung einer Dienstleistung von der Erteilung einer nicht für die Leistungserbringung erforderlichen Einwilligung abhängig zu machen. Personalisierte Werbung wird hierdurch erheblich erschwert. Anbieter können jedoch durch Bereitstellung eines alternativen, einwilligungsfreien Zugangs zu derselben Leistung ihren Dienst datenschutzkonform anbieten. Ein solcher Zugang muss nicht zwingend in Form eines fixen Entgelts gestaltet sein. Vielmehr ist es datenschutzrechtlich in gewissem Umfang zulässig, Preise unter Einbeziehung personenbezogener Daten dynamisch zu gestalten. KW - Informationsgesellschaft KW - Internetökonomie KW - Digitalisierung KW - Geschäftsmodell KW - Open Data Y1 - 2019 SN - 978-3-658-27510-5 N1 - Konferenz: Zukunft der Datenökonomie 2018, 11.10-12.10.2018. Bayerische Akademie der Wissenschaften, München, Deutschland SP - 45 EP - 68 PB - Springer Fachmedien CY - Wiesbaden ER - TY - GEN A1 - Golland, Alexander T1 - Diensteerbringung darf nicht von der Erteilung einer Einwilligung abhängig gemacht werden (Urteil vom 31.08.2018) T2 - DSB Datenschutz-Berater Y1 - 2019 SN - 0170-7256 N1 - Anmerkung zu Oberster Gerichtshof (OGH), Urt. v. 31.8.2018 – 6 Ob 140/18h IS - 1 SP - 15 EP - 16 PB - DFV Mediengruppe CY - Frankfurt a. M. ER - TY - JOUR A1 - Golland, Alexander T1 - Das 2. Datenschutz-Anpassungs- und Umsetzungsgesetz EU Änderungen und Herausforderungen für Unternehmen JF - NWB Unternehmensteuern und Bilanzen – StuB N2 - Kurz vor der parlamentarischen Sommerpause hat der Bundestag am 28.6.2019 das 2. Datenschutz-Anpassungs- und Umsetzungsgesetz EU (2. DSAnpUG-EU) beschlossen, der Bundesrat hat diesem Gesetz am 20.9.2019 zugestimmt. Das Artikelgesetz, welches im sog. Omnibusverfahren zahlreiche Gesetze auf Bundesebene ändert, soll zur Vereinheitlichung und Anpassung des Bundesrechts an die seit Mai 2018 geltende Datenschutz-Grundverordnung (DSGVO) beitragen. KW - Datenschutz KW - Datenschutzgrundverordnung Y1 - 2019 SN - 1615-8024 IS - 20 SP - 787 EP - 790 ER - TY - JOUR A1 - Golland, Alexander T1 - Datenschutzrechtliche Fragen personalisierter Preise — Herausforderungen von Algorithmen im Schnittbereich von Ethik, Ökonomie und Datenschutz JF - CR Computer und Recht Y1 - 2020 SN - 2194-4172 U6 - https://doi.org/10.9785/cr-2020-360313 VL - 36 IS - 3 SP - 186 EP - 194 PB - Verlag Dr. Otto Schmidt CY - Köln ER - TY - CHAP A1 - Nikolovski, Gjorgji A1 - Reke, Michael A1 - Elsen, Ingo A1 - Schiffer, Stefan T1 - Machine learning based 3D object detection for navigation in unstructured environments T2 - 2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops) N2 - In this paper we investigate the use of deep neural networks for 3D object detection in uncommon, unstructured environments such as in an open-pit mine. While neural nets are frequently used for object detection in regular autonomous driving applications, more unusual driving scenarios aside street traffic pose additional challenges. For one, the collection of appropriate data sets to train the networks is an issue. For another, testing the performance of trained networks often requires tailored integration with the particular domain as well. While there exist different solutions for these problems in regular autonomous driving, there are only very few approaches that work for special domains just as well. We address both the challenges above in this work. First, we discuss two possible ways of acquiring data for training and evaluation. That is, we evaluate a semi-automated annotation of recorded LIDAR data and we examine synthetic data generation. Using these datasets we train and test different deep neural network for the task of object detection. Second, we propose a possible integration of a ROS2 detector module for an autonomous driving platform. Finally, we present the performance of three state-of-the-art deep neural networks in the domain of 3D object detection on a synthetic dataset and a smaller one containing a characteristic object from an open-pit mine. KW - 3D object detection KW - LiDAR KW - autonomous driving KW - Deep learning KW - Three-dimensional displays Y1 - 2021 SN - 978-1-6654-7921-9 U6 - https://doi.org/10.1109/IVWorkshops54471.2021.9669218 N1 - 2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops), 11-17 July 2021, Nagoya, Japan. SP - 236 EP - 242 PB - IEEE ER - TY - CHAP A1 - Haugg, Albert Thomas A1 - Kreyer, Jörg A1 - Kemper, Hans A1 - Hatesuer, Katerina A1 - Esch, Thomas T1 - Heat exchanger for ORC. adaptability and optimisation potentials T2 - IIR International Rankine 2020 Conference N2 - The recovery of waste heat requires heat exchangers to extract it from a liquid or gaseous medium into another working medium, a refrigerant. In Organic Rankine Cycles (ORC) on Combustion Engines there are two major heat sources, the exhaust gas and the water/glycol fluid from the engine’s cooling circuit. A heat exchanger design must be adapted to the different requirements and conditions resulting from the heat sources, fluids, system configurations, geometric restrictions, and etcetera. The Stacked Shell Cooler (SSC) is a new and very specific design of a plate heat exchanger, created by AKG, which allows with a maximum degree of freedom the optimization of heat exchange rate and the reduction of the related pressure drop. This optimization in heat exchanger design for ORC systems is even more important, because it reduces the energy consumption of the system and therefore maximizes the increase in overall efficiency of the engine. Y1 - 2020 U6 - https://doi.org/10.18462/iir.rankine.2020.1224 N1 - IIR International Rankine 2020 Conference - Heating, Cooling, Power Generation. Glasgow, 2020. ER - TY - CHAP A1 - Schänzle, Christian A1 - Altherr, Lena A1 - Ederer, Thorsten A1 - Pelz, Peter T1 - TOR – Towards the energetically optimal ventilation system KW - Energy KW - Efficiency KW - Ventilation System KW - Discrete Optimisation KW - TGA Y1 - 2015 N1 - EST 2015, Karlsruhe, 19-21 Mai 2015 ER - TY - CHAP A1 - Lorenz, Imke-Sophie A1 - Altherr, Lena A1 - Pelz, Peter F. T1 - Resilience enhancement of critical infrastructure – graph-theoretical resilience analysis of the water distribution system in the German city of Darmstadt T2 - 14th WCEAM Proceedings N2 - Water suppliers are faced with the great challenge of achieving high-quality and, at the same time, low-cost water supply. Since climatic and demographic influences will pose further challenges in the future, the resilience enhancement of water distribution systems (WDS), i.e. the enhancement of their capability to withstand and recover from disturbances, has been in particular focus recently. To assess the resilience of WDS, graph-theoretical metrics have been proposed. In this study, a promising approach is first physically derived analytically and then applied to assess the resilience of the WDS for a district in a major German City. The topology based resilience index computed for every consumer node takes into consideration the resistance of the best supply path as well as alternative supply paths. This resistance of a supply path is derived to be the dimensionless pressure loss in the pipes making up the path. The conducted analysis of a present WDS provides insight into the process of actively influencing the resilience of WDS locally and globally by adding pipes. The study shows that especially pipes added close to the reservoirs and main branching points in the WDS result in a high resilience enhancement of the overall WDS. KW - Resilient infrastructure KW - Resilience assessment KW - Resilience metric graph theory KW - Water distribution system KW - Case study Y1 - 2020 SN - 978-3-030-64228-0 SN - 978-3-030-64227-3 U6 - https://doi.org/10.1007/978-3-030-64228-0_13 N1 - 14th WCEAM Proceedings. World Congress on Engineering Asset Management, 28-31 July 2019, Singapore Part of the Lecture Notes in Mechanical Engineering book series (LNME) SP - 137 EP - 149 PB - Springer CY - Cham ER - TY - JOUR A1 - Golland, Alexander T1 - Verantwortlichkeit, Data Breach, das Ende von Fax & E-Mail: Aufsichtsbehörden mit streitbaren Thesen JF - DSB Datenschutz-Berater Y1 - 2020 SN - 0170-7256 VL - 44 IS - 4 SP - 98 EP - 100 PB - DFV Mediengruppe CY - Frankfurt a.M. ER -