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 - GEN A1 - Golland, Alexander T1 - Das „Recht auf Vergessenwerden“ unter Geltung der DSGVO: Anwendungsbereich und Rechtmäßigkeit T2 - DSB Datenschutz-Berater Y1 - 2019 SN - 0170-7256 N1 - Anmerkung zu EuGH, Urteil vom 24.9.2019 – C-507/17 VL - 43 IS - 10 SP - 234 EP - 236 PB - DFV Mediengruppe CY - Frankfurt a.M. ER - TY - GEN A1 - Golland, Alexander T1 - Das „Recht auf Vergessenwerden“ unter Geltung der DSGVO: Rechtmäßigkeit der Anzeige sensibler Daten T2 - DSB Datenschutz-Berater Y1 - 2019 SN - 0170-7256 N1 - Anmerkung zu EuGH, Urteil vom 24.9.2019 – C-136/17 IS - 11 SP - 262 EP - 264 PB - DFV Mediengruppe CY - Frankfurt a.M. ER - TY - CHAP A1 - Müller, Tim M. A1 - Altherr, Lena A1 - Ahola, Marja A1 - Schabel, Samuel A1 - Pelz, Peter F. ED - Rodrigues, H. C. T1 - Multi-Criteria optimization of pressure screen systems in paper recycling – balancing quality, yield, energy consumption and system complexity T2 - EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization N2 - The paper industry is the industry with the third highest energy consumption in the European Union. Using recycled paper instead of fresh fibers for papermaking is less energy consuming and saves resources. However, adhesive contaminants in recycled paper are particularly problematic since they reduce the quality of the resulting paper-product. To remove as many contaminants and at the same time obtain as many valuable fibres as possible, fine screening systems, consisting of multiple interconnected pressure screens, are used. Choosing the best configuration is a non-trivial task: The screens can be interconnected in several ways, and suitable screen designs as well as operational parameters have to be selected. Additionally, one has to face conflicting objectives. In this paper, we present an approach for the multi-criteria optimization of pressure screen systems based on Mixed-Integer Nonlinear Programming. We specifically focus on a clear representation of the trade-off between different objectives. Y1 - 2019 SN - 978-3-319-97773-7 U6 - https://doi.org/10.1007/978-3-319-97773-7_105 N1 - EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization. 17-19 September 2018. Lisboa, Portugal PB - Springer International Publishing CY - Basel ER - TY - CHAP A1 - Lorenz, Imke-Sophie B. A1 - Altherr, Lena A1 - Pelz, Peter F. T1 - Graph-theoretic resilience analysis of a water distribution system's topology T2 - World Congress on Resilience, Reliability and Asset Management 2019 N2 - Water suppliers are faced with the great challenge of achieving high-quality and, at the same time, low-cost water supply. In practice, the focus is set on the most beneficial maintenance measures and/or capacity adaptations of existing water distribution systems (WDS). Since climatic and demographic influences will pose further challenges in the future, the resilience enhancement of 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, metrics based on graph theory have been proposed. In this study, a promising approach is applied to assess the resilience of the WDS for a district in a major German City. The conducted analysis provides insight into the process of actively influencing the resilience of WDS KW - Resilience Assessment KW - Graph Theory KW - Water Supply System KW - Case Study Y1 - 2019 N1 - World Congress on Resilience, Reliability and Asset Management, 28-31 July 2019. Furama Riverfront Hotel, Singapore SP - 106 EP - 109 ER - TY - CHAP A1 - Stenger, David A1 - Altherr, Lena A1 - Abel, Dirk T1 - Machine learning and metaheuristics for black-box optimization of product families: a case-study investigating solution quality vs. computational overhead T2 - Operations Research Proceedings 2018 N2 - In product development, numerous design decisions have to be made. Multi-domain virtual prototyping provides a variety of tools to assess technical feasibility of design options, however often requires substantial computational effort for just a single evaluation. A special challenge is therefore the optimal design of product families, which consist of a group of products derived from a common platform. Finding an optimal platform configuration (stating what is shared and what is individually designed for each product) and an optimal design of all products simultaneously leads to a mixed-integer nonlinear black-box optimization model. We present an optimization approach based on metamodels and a metaheuristic. To increase computational efficiency and solution quality, we compare different types of Gaussian process regression metamodels adapted from the domain of machine learning, and combine them with a genetic algorithm. We illustrate our approach on the example of a product family of electrical drives, and investigate the trade-off between solution quality and computational overhead. KW - Product family optimization KW - Mixed-integer nonlinear black-box optimization KW - Engineering optimization KW - Machine learning Y1 - 2019 SN - 978-3-030-18499-5 (Print) SN - 978-3-030-18500-8 (Online) U6 - https://doi.org/10.1007/978-3-030-18500-8_47 SP - 379 EP - 385 PB - Springer CY - Cham ER - TY - CHAP A1 - Leise, Philipp A1 - Altherr, Lena A1 - Simon, Nicolai A1 - Pelz, Peter F. T1 - Finding global-optimal gearbox designs for battery electric vehicles T2 - Optimization of complex systems - theory, models, algorithms and applications : WCGO 2019 N2 - In order to maximize the possible travel distance of battery electric vehicles with one battery charge, it is mandatory to adjust all components of the powertrain carefully to each other. While current vehicle designs mostly simplify the powertrain rigorously and use an electric motor in combination with a gearbox with only one fixed transmission ratio, the use of multi-gear systems has great potential. First, a multi-speed system is able to improve the overall energy efficiency. Secondly, it is able to reduce the maximum momentum and therefore to reduce the maximum current provided by the traction battery, which results in a longer battery lifetime. In this paper, we present a systematic way to generate multi-gear gearbox designs that—combined with a certain electric motor—lead to the most efficient fulfillment of predefined load scenarios and are at the same time robust to uncertainties in the load. Therefore, we model the electric motor and the gearbox within a Mixed-Integer Nonlinear Program, and optimize the efficiency of the mechanical parts of the powertrain. By combining this mathematical optimization program with an unsupervised machine learning algorithm, we are able to derive global-optimal gearbox designs for practically relevant momentum and speed requirements. KW - Powertrain KW - Gearbox KW - Optimization KW - BEV KW - WLTP Y1 - 2019 SN - 978-3-030-21802-7 U6 - https://doi.org/10.1007/978-3-030-21803-4_91 SP - 916 EP - 925 PB - Springer CY - Cham ER -