TY - JOUR A1 - Sun, Hui A1 - Altherr, Lena A1 - Pei, Ji A1 - Pelz, Peter F. A1 - Yuan, Shouqi T1 - Optimal booster station design and operation under uncertain load JF - Applied Mechanics and Materials N2 - Given industrial applications, the costs for the operation and maintenance of a pump system typically far exceed its purchase price. For finding an optimal pump configuration which minimizes not only investment, but life-cycle costs, methods like Technical Operations Research which is based on Mixed-Integer Programming can be applied. However, during the planning phase, the designer is often faced with uncertain input data, e.g. future load demands can only be estimated. In this work, we deal with this uncertainty by developing a chance-constrained two-stage (CCTS) stochastic program. The design and operation of a booster station working under uncertain load demand are optimized to minimize total cost including purchase price, operation cost incurred by energy consumption and penalty cost resulting from water shortage. We find optimized system layouts using a sample average approximation (SAA) algorithm, and analyze the results for different risk levels of water shortage. By adjusting the risk level, the costs and performance range of the system can be balanced, and thus the system’s resilience can be engineered KW - Stochastic Programming KW - Chance Constraint KW - Engineering Application KW - Pump System KW - Water Distribution Y1 - 2018 U6 - https://doi.org/10.4028/www.scientific.net/AMM.885.102 SN - 1662-7482 VL - 885 SP - 102 EP - 115 PB - Trans Tech Publications CY - Bäch ER - TY - CHAP A1 - Stenger, David A1 - Altherr, Lena A1 - Müller, Tankred A1 - Pelz, Peter F. T1 - Product family design optimization using model-based engineering techniques T2 - Operations Research Proceedings 2017 N2 - Highly competitive markets paired with tremendous production volumes demand particularly cost efficient products. The usage of common parts and modules across product families can potentially reduce production costs. Yet, increasing commonality typically results in overdesign of individual products. Multi domain virtual prototyping enables designers to evaluate costs and technical feasibility of different single product designs at reasonable computational effort in early design phases. However, savings by platform commonality are hard to quantify and require detailed knowledge of e.g. the production process and the supply chain. Therefore, we present and evaluate a multi-objective metamodel-based optimization algorithm which enables designers to explore the trade-off between high commonality and cost optimal design of single products. Y1 - 2018 SN - 978-3-319-89919-0 U6 - https://doi.org/10.1007/978-3-319-89920-6_66 SP - 495 EP - 502 PB - Springer CY - Cham ER - TY - JOUR A1 - Stapenhorst, Carolin A1 - Zabek, Magdalena A1 - Hildebrand, Linda T1 - Communication process and information flow in the architectural planning context JF - Creativity game : theory and practice of spatial planning N2 - Against the background of growing data in everyday life, data processing tools become more powerful to deal with the increasing complexity in building design. The architectural planning process is offered a variety of new instruments to design, plan and communicate planning decisions. Ideally the access to information serves to secure and document the quality of the building and in the worst case, the increased data absorbs time by collection and processing without any benefit for the building and its user. Process models can illustrate the impact of information on the design- and planning process so that architect and planner can steer the process. This paper provides historic and contemporary models to visualize the architectural planning process and introduces means to describe today’s situation consisting of stakeholders, events and instruments. It explains conceptions during Renaissance in contrast to models used in the second half of the 20th century. Contemporary models are discussed regarding their value against the background of increasing computation in the building process. KW - Planning process KW - Manifestations KW - Tools KW - Conditions KW - Actors KW - Structure and Stages KW - Design process Y1 - 2018 U6 - https://doi.org/10.15292/IU-CG.2018.06.066-073 IS - 6 SP - 66 EP - 73 PB - University of Ljubljana CY - Ljubljana ER - TY - JOUR A1 - Stapenhorst, Carolin A1 - Motta, Luciano T1 - Città Olivettiana in Ivrea, Italien JF - Bauwelt Y1 - 2018 SN - 0005-6855 VL - 109 IS - 22 SP - 20 EP - 31 PB - Bauverlag BV CY - Gütersloh ER - TY - CHAP A1 - Serror, Martin A1 - Henze, Martin A1 - Hack, Sacha A1 - Schuba, Marko A1 - Wehrle, Klaus T1 - Towards in-network security for smart homes T2 - 13th International Conference on Availability, Reliability and Security, ARES 2018; Hamburg; Germany; 27 August 2018 through 30 August 2018 Y1 - 2018 SN - 978-145036448-5 U6 - https://doi.org/10.1145/3230833.3232802 SP - Article numer 3232802 ER - TY - CHAP A1 - Schöning, Michael Josef A1 - Wagner, Torsten A1 - Poghossian, Arshak A1 - Miyamoto, K.I. A1 - Werner, C.F. A1 - Krause, S. A1 - Yoshinobu, T. T1 - Light-addressable potentiometric sensors for (bio-)chemical sensing and imaging T2 - Encyclopedia of Interfacial Chemistry: Surface Science and Electrochemistry. Vol. 7 Y1 - 2018 SN - 9780128097397 SP - 295 EP - 308 PB - Elsevier CY - Amsterdam ER - TY - CHAP A1 - Schöning, Michael Josef A1 - Poghossian, Arshak T1 - Enzyme und Biosensorik T2 - Einführung in die Enzymtechnologie N2 - Enzymbasierte Biosensoren finden seit mehr als fünf Jahrzehnten einen prosperierenden Wachstumsmarkt und werden zunehmend auch in biotechnologischen Prozessen eingesetzt. In diesem Kapitel werden, ausgehend vom Sensorbegriff und typischen Kenngrößen für Biosensoren (Abschn. 18.1), elektrochemische Enzym-Biosensoren vorgestellt und deren typischen Einsatzgebiete diskutiert (Abschn. 18.2). Ein Blick über den „Tellerrand“ hinaus zeigt alternative Transduktorprinzipien (Abschn. 18.3) und führt abschließend in aktuelle Forschungstrends ein (Abschn. 18.4). Y1 - 2018 SN - 978-3-662-57619-9 U6 - https://doi.org/10.1007/978-3-662-57619-9_18 SP - 323 EP - 347 PB - Springer Spektrum CY - Berlin ER - TY - BOOK A1 - Schöning, Michael Josef A1 - Poghossian, Arshak T1 - Label-free biosensing: advanced materials, devices and applications Y1 - 2018 SN - 978-3-319-75219-8 PB - Springer CY - Cham ER - TY - JOUR A1 - Schwabedal, Justus T. C. A1 - Sippel, Daniel A1 - Brandt, Moritz D. A1 - Bialonski, Stephan T1 - Automated Classification of Sleep Stages and EEG Artifacts in Mice with Deep Learning N2 - Sleep scoring is a necessary and time-consuming task in sleep studies. In animal models (such as mice) or in humans, automating this tedious process promises to facilitate long-term studies and to promote sleep biology as a data-driven f ield. We introduce a deep neural network model that is able to predict different states of consciousness (Wake, Non-REM, REM) in mice from EEG and EMG recordings with excellent scoring results for out-of-sample data. Predictions are made on epochs of 4 seconds length, and epochs are classified as artifactfree or not. The model architecture draws on recent advances in deep learning and in convolutional neural networks research. In contrast to previous approaches towards automated sleep scoring, our model does not rely on manually defined features of the data but learns predictive features automatically. We expect deep learning models like ours to become widely applied in different fields, automating many repetitive cognitive tasks that were previously difficult to tackle. Y1 - 2018 U6 - https://doi.org/10.48550/arXiv.1809.08443 ER - TY - CHAP A1 - Schulze, Sven A1 - Mühleisen, M. A1 - Feyerl, Günter T1 - Adaptive energy management strategy for a heavy-duty truck with a P2-hybrid topology T2 - 18. Internationales Stuttgarter Symposium. Proceedings Y1 - 2018 U6 - https://doi.org/10.1007/978-3-658-21194-3 SP - 75 EP - 89 PB - Springer Vieweg CY - Wiesbaden ER -