TY - RPRT A1 - Bogdanski, Ralf T1 - Vorläufiger Abschlussbericht der Forschungsprojekte LEV@KEP & VALUE@SERVICE N2 - Ziel des Projekts „LEV@KEP – Entwicklung eines zulassungsfreien Light Electric Vehicle für eine Nachhaltige Stadtlogistik“ (07/2017 bis 12/2019)“ war es, ein Schwerlastenrad bzw. Light Electric Vehicle zu entwickeln, das für den gewerblichen und den KEP-Einsatz geeignet ist. Das qualitativ hochwertige und zuverlässige neue Lastenfahrzeug soll das erfolgreiche Mikro-Depot-Konzept unterstützen und bereits vorhandene Lastenräder ersetzen. Durch das neue Fahrzeug wird die Zustellung von Paketen und auch der Transport anderer Güter verbessert werden. Im Teilprojekt „VALUE@SERVICE – Nachhaltige Logistische Mehrwertdienste für den stationären Einzelhandel und für Apotheken durch kooperative Ressourcennutzung in logistischen Netzwerken“ (07/2017–12/2019) wurde die Realisierungschance von logistischen Mehrwertdiensten durch gewerbliche Lastenradlogistik mit dem Mikro-Depot-Konzept geprüft. Das Projekt sollte das Mikro-Depot-Konzept um Same-Day-Delivery für den Einzelhandel und Apotheken, Next-Day-Delivery vom Einzelhandel zu überregionalen Kunden und Retourenabwicklung im Onlinehandel erweitern. Ziel waren abgestimmte Nutzungskonzepte, mithilfe derer die Unternehmen DPD, Tiramizoo und Sanacorp zur optimalen Nutzung vorhandener Netzwerkressourcen. So sollte der Lieferverkehr durch getaktete Versandzeiten, gemeinsam genutzte Depots und zusammengelegte Auslieferungen effizienter werden. Um diese Anwendung zu realisieren, wurden die Gemeinsamkeiten und Unterschiede in den logistischen Anforderungen und Sendestrukturen geprüft. Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:92-opus4-26223 PB - Technische Hochschule Nürnberg CY - Nürnberg ER - TY - CHAP A1 - Götzelmann, Timo A1 - Kreimeier, Julian T1 - Optimization of navigation considerations of people with visual impairments through ambient intelligence BT - a case study N2 - As urbanization progresses, cities are becoming increasingly complex. To make this complexity advantageous, Smart Cities integrate intelligent sensors that communicate with each other and are invisible to citizens, so that they can offer additional services. Despite the fact that the inclusion of diverse citizens is an essential requirement of Smart Cities, Ambient Intelligence is often not considered under accessibility aspects. The central question in this context is how disadvantaged groups in particular can benefit from Smart Cities. It is extremely important for people with disabilities to be able to move autonomously in public spaces. For this purpose, however, people who are blind sometimes need to be able to ask other people for directions. Knowing whether people are present can be important information. In our exemplary case study, Ambient Intelligence is used for people with visual impairments, so that they can decide whether they want to go to this or an alternative place based on the information about the density of people in a place. Y1 - 2020 U6 - https://doi.org/10.1145/3389189.3398009 SP - 1 EP - 6 PB - ACM CY - New York, NY, USA ER - TY - CHAP A1 - Saur, Gregor A1 - Kruglov, Roman A1 - Engelbrecht, Rainer T1 - Microsecond Optical Frequency Tuning of DFB Laser Diodes for Coherent Optical Frequency Domain Reflectometry N2 - Optical frequency tuning ranges up to 600 GHz or 4.8 nm have been achieved within microseconds and a standard telecom DFB laser diode operating at 1550 nm. The dynamic optical frequency tuning is induced by electrical current pulse injection and measured using an interferometric setup. Potentially, low-cost sensor systems based on optical coherence tomography (OCT) or coherent optical frequency domain reflectometry (c-OFDR) could be realized, achieving sub-mm two-point range resolution or even better single-point range precision within a few microseconds for a single measurement. KW - Tunable lasers KW - Semiconductor lasers KW - Wavelength shift KW - Fiber sensing Y1 - 2020 SN - 978-3-9819376-2-6 U6 - https://doi.org/10.5162/SMSI2020/C6.2 VL - 2020 SP - 189 EP - 190 PB - AMA Service GmbH CY - Wunstorf, Germany ER - TY - CHAP A1 - Boost, Marie A1 - Promberger, Markus A1 - Meier, Lars A1 - Sowa, Frank ED - Boost, Marie ED - Dagg, Jenny ED - Gray, Jane ED - Promberger, Markus T1 - Developing the concept of poverty and resilience T2 - Poverty, Crisis and Resilience N2 - This chapter focuses on an elaborated understanding of the concept of social resilience and its potential to enrich research on poverty and social policy. The history of this concept is shown by tracing its development from a psychological, ecosystemic and socio-spatial perspective - focusing on spatial and social limitations of resilience. The current approach of social resilience derives from this background and emphases resilience as a dynamic process, embedded in social and institutional structures. Arising from this discussion, several elements of a new definition of social resilience are presented. Social resilience, especially within the context of poverty, is based on different sources, such as available common goods, reliable networks or civil society organisations. Our results show that the impact of social resilience is highly preconditioned, relates to different characteristics across our respondents and needs support of the welfare state and charity organisations to fully exploit its potential. Y1 - 2020 SN - 9781788973205 U6 - https://doi.org/10.4337/9781788973205.00013 PB - Edward Elgar Publishing ER - TY - JOUR A1 - Sowa, Frank A1 - Rösch, Benedikt ED - Oberbeck, Niels T1 - Wohnungslose Menschen in Figurationen N2 - In einer Machbarkeitsstudie erforschte das Projektteam, inwiefern der Begriff der Figuration (Elias) geeignet ist, um bislang nicht berücksichtigte oder unentdeckte Aspekte des sozialen Phänomens Wohnungslosigkeit sichtbar zu machen und in für die Praxis anwendbare Erkenntnisse zu transformieren. Mit diesen Ergebnissen sollten weitere Mittel für ein mindestens zweijähriges Forschungsprojekt eingeworben werden. T3 - Vorlaufforschung / Schriftenreihe der Georg-Simon-Ohm-Hochschule, Nürnberg - 2019/2020 Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:92-opus4-22505 SN - 2626-7616 SP - 211 EP - 218 PB - Ohm CY - Nürnberg ER - TY - JOUR A1 - Sowa, Frank A1 - Rösch, Benedikt A1 - Holzmeyer, Tanja A1 - Neberich, Marcel A1 - Opferkuch, Frank A1 - Proschek, Katrin A1 - Reindl, Richard A1 - Scheja, Joachim A1 - Zauter, Sigrid T1 - Digitalisierung für alle? Zur Auswirkung digitaler Angebote auf Teilhabechancen von Wohnungslosen JF - Soziale Passagen N2 - Das an der Technischen Hochschule Nürnberg Georg Simon Ohm angesiedelte Forschungsprojekt „SIWo – Smart Inklusion für Wohnungslose“ widmet sich der Fragestellung, welche Informations‑, Unterstützungs- und Beratungsbedarfe bei wohnungslosen Menschen vorliegen und in welcher Form sich die Teilhabechancen für die heterogene Zielgruppe wohnungsloser oder von Wohnungsnot betroffener Menschen mittels digitaler Hilfe und Beratungsangebote verbessern lassen. Hierfür werden zum einen mit Gruppendiskussionen und qualitativen Interviews Bedarfe identifiziert. Zum anderen sollen im Rahmen des Projekts prototypische Lösungsansätze in Form einer plattformübergreifenden Hilfe-App entwickelt, getestet und mit Evaluationsverfahren begleitet werden. Charakteristisch ist dabei die enge interdisziplinäre Zusammenarbeit zwischen Sozialwissenschaft, Informatik und Energietechnik, die partizipative Begleitung des Projekts durch Wohnungslose und andere Stadtakteur*innen, sowie der Fokus auf interaktive Funktionen, die digitalisierte Begegnungsräume ermöglichen und Interaktionen auch zwischen Bevölkerungs-gruppen fördern, die i. d. R. eher wenig miteinander zu tun haben. Dieses Vorgehen begreift somit Wohnungslosigkeit nicht ausschließlich als professionelles Arbeitsfeld der Sozialen Arbeit, sondern als gesamtgesellschaftliche Aufgabe. KW - Wohnungslosigkeit · Vulnerabilität · Bedarfe · Soziale Arbeit · Digitalisierung Y1 - 2020 U6 - https://doi.org/10.1007/s12592-020-00338-1 SN - 1867-0180 VL - 12 IS - 1 SP - 185 EP - 190 PB - Springer Science and Business Media LLC ER - TY - CHAP A1 - Degen, Katrin ED - Britta, Hoffarth ED - Susanne, Richter ED - Eva, Reuter T1 - "Wichtige Verbündete im Kampf" - Zugehörigkeitskonstruktionen (extrem) rechter Akteur*innen entlang geschlechts- und sexualitätsbezogener Faktoren BT - Räume, Deutungen, Repräsentationen T2 - Geschlecht und Medien KW - Rechtsextremismus KW - Geschlecht KW - Antifeminismus KW - Ethnosexismus Y1 - 2020 SN - 9783593512938 PB - Campus CY - Frankfurt am Main ER - TY - CHAP A1 - Auernhammer, Katja A1 - Tavakoli Kolagari, Ramin T1 - Workshop for Automotive Software Systems Engineering Education T2 - 2020 IEEE 32nd Conference on Software Engineering Education and Training (CSEE&T) N2 - In view of the advent of autonomous driving, the automotive industry is longing for adequately trained employees in a wide range of fields; these include not so much the classic automotive engineering and embedded systems topics, but rather software development, robotics, machine learning, statistics and design. As a particularly specific, industry-oriented discipline, automotive software engineering is hardly represented in academic teaching, except for a few AUTOSAR courses. But as a beacon project of digitization, autonomous driving can arouse broad interest among students who are interested in how diverse disciplines can be profitably combined to realize an impressive project. This interest is an excellent chance for both universities and industry to engage in constructive dialogue, to carry out exciting multidisciplinary projects at universities and to meet the needs of industry with graduates who have a relevant and versatile education. This workshop provides an opportunity for both sides to meet, share requirements and experiences and develop a best practice course according to industry requirements and academic feasibility. KW - Automotive engineering , Software engineering , Industries , Education , Conferences , Machine learning , Automobiles Y1 - 2020 U6 - https://doi.org/10.1109/CSEET49119.2020.9206169 PB - IEEE ER - TY - CHAP A1 - Freiling, Felix A1 - Tavakoli Kolagari, Ramin A1 - Auernhammer, Katja T1 - Efficient Black-Box Search for Adversarial Examples using Relevance Masks T2 - Proceedings of the 2020 Workshop on DYnamic and Novel Advances in Machine Learning and Intelligent Cyber Security N2 - Machine learning classifiers for image recognition are prevalent in many applications. We study the problem of finding adversarial examples for such classifiers, i.e., to manipulate the images in such a way that they still look like the original images to a human but are misinterpreted by the classifier. Finding adversarial examples corresponds to a search problem in the image space. We focus on black-box attacks that can only use the original classifier to guide the search. The challenge is not to find adversarial examples, but rather to find them efficiently, ideally in real time. We show two novel methods that increase the efficiency of black-box search algorithms for adversarial examples: The first uses a relevance mask, i.e., a bitmask on the original image that restricts the search to those pixels that appear to be more relevant to the attacked classifier than others. The second exploits the discovery of merge drift, a phenomenon that negatively affects search algorithms that are based on the merging of image candidates. We evaluate both concepts on existing and new algorithms. KW - Machine Learning, Attacks, Adversarial Examples, Relevance Masks Y1 - 2022 U6 - https://doi.org/10.1145/3477997.3478013 SP - 1 EP - 12 PB - ACM CY - New York, NY, USA ER - TY - JOUR A1 - Biedermann, Till M. A1 - Reich, M. A1 - Paschereit, C. O. T1 - Multi-Objective Modeling of Leading-Edge Serrations Applied to Low-Pressure Axial Fans JF - Journal of Engineering for Gas Turbines and Power N2 - A novel modeling strategy is proposed which allows high-accuracy predictions of aerodynamic and aeroacoustic target values for a low-pressure axial fan, equipped with serrated leading edges. Inspired by machine learning processes, the sampling of the experimental space is realized by use of a Latin hypercube design plus a factorial design, providing highly diverse information on the analyzed system. The effects of four influencing parameters (IP) are tested, characterizing the inflow conditions as well as the serration geometry. A total of 65 target values in the time and frequency domains are defined and can be approximated with high accuracy by individual artificial neural networks. Furthermore, the validation of the model against fully independent test points within the experimental space yields a remarkable fit, even for the spectral distribution in 1/3-octave bands, proving the ability of the model to generalize. A metaheuristic multi-objective optimization approach provides two-dimensional Pareto optimal solutions for selected pairs of target values. This is particularly important for reconciling opposing trends, such as the noise reduction capability and aerodynamic performance. The chosen optimization strategy also allows for a customized design of serrated leading edges, tailored to the specific operating conditions of the axial fan. KW - Acoustics KW - Artificial neural networks KW - Blades KW - Design KW - Fans KW - Flow (Dynamics) KW - Modeling KW - Noise control KW - Optimization KW - Pareto optimization KW - Pressure KW - Turbulence KW - Noise (Sound) KW - Rotors KW - Signals KW - Wavelength Y1 - 2020 U6 - https://doi.org/10.1115/1.4048599 SN - 0742-4795 VL - 142 IS - 11 PB - ASME International ER - TY - CHAP A1 - Scholz, Stefanie A1 - Winkler, Christian T1 - How to Engage Followers: Classifying Fashion Brands According to Their Instagram Profiles, Posts and Comments T2 - Computer Science & Information Technology (CS & IT) N2 - In this article we show how fashion brands communicate with their follower on Instagram. We use a continuously update dataset of 68 brands, more than 300,000 posts and more than 40,000,000 comments. Starting with descriptive statistics, we uncover different behavior and success of the various brands. It turns out that there are patterns specific to luxury, mass-market and sportswear brands. Posting volume is extremely brand dependent as is the number of comments and the engagement of the community. Having understood the statistics, we turn to machine learning techniques to measure the response of the community via comments. Topic models help us understand the structure of their respective community and uncover insights regarding the response to campaigns. Having up-to-date content is essential for this kind of analysis, as the market is highly volatile. Furthermore, automatic data analysis is crucial to measure the success of campaigns and adjust them accordingly for maximum effect. KW - Instagram, Fashion Brands, Data Extraction, Marketing, Analysis, Artificial Intelligence, Netnography, Descriptive Statistics, Visualization, Community Engagement, Artificial Intelligence, Unsupervised Learning, Topic Modelling Y1 - 2020 U6 - https://doi.org/10.5121/csit.2020.101704 SP - 223 EP - 234 PB - AIRCC Publishing Corporation ER - TY - CHAP A1 - Dalferth, Jasmin A1 - Winkelmann, Sven A1 - Schwenker, Friedhelm T1 - Using Mask R-CNN for Image-Based Wear Classification of Solid Carbide Milling and Drilling Tools T2 - Artificial Neural Networks in Pattern Recognition N2 - In order to ensure high productivity and quality in industrial production, early identification of tool wear is needed. Within the context of Industry 4.0, we integrate wear monitoring of solid carbide milling and drilling cutters automatically into the production process. Therefore, we propose to analyze wear types with image instance segmentation using Mask R-CNN with feature pyramid and bounding box regression. Our approach is able to recognize the five most important wear types: flank wear, crater wear, fracture, built-up edge and plastic deformation. While other methods use image classification and classify only one wear type for each image, our model is able to detect multiple wear types. Over 35 models with different hyperparameter settings were trained on 5,000 labeled images to establish a reliable classifier. The results show up to 82.03% accuracy and benefit for overlapping wear types, which is crucial for using the model in production. Y1 - 2020 SN - 9783030583088 U6 - https://doi.org/10.1007/978-3-030-58309-5_18 SN - 0302-9743 SP - 223 EP - 234 PB - Springer International Publishing CY - Cham ER - TY - JOUR A1 - Mohan, Abhinav A1 - Ulmer, Ulrich A1 - Hurtado, Lourdes A1 - Loh, Joel A1 - Li, Young Feng A1 - Tountas, Athanasios A. A1 - Krevert, Carola A1 - Chan, Chakyu A1 - Liang, Yilei A1 - Brodersen, Peter A1 - Sain, Mohini M. A1 - Ozin, Geoffrey A. T1 - Hybrid Photo- and Thermal Catalyst System for Continuous CO2 Reduction JF - ACS Applied Materials & Interfaces N2 - Heterogeneous thermal catalytic processes are vital for industrial production of fuels, fertilizers, and other chemicals necessary for sustaining human life. However, these processes are highly energy-intensive, requiring a vast consumption of fossil fuels. An emerging class of heterogeneous catalysts that are thermally driven but also exhibit a photochemically enhanced rate can potentially reduce process energy intensity by partially substituting conventional heat (where fossil fuels are needed) with solar energy. Such catalyst systems have yet to be practically utilized. Here, we demonstrate a compact electrically heated photo- and thermal annular reactor module to reduce CO2 to CO, via the reverse water gas shift reaction. A first-principles-based design approach was taken in developing a SiO2 on an Al photo- and thermal catalyst system for the model photo- and thermal indium oxide hydroxide (In2O3–x(OH)y) catalysts. A 5-fold light enhancement in the CO production rate and over 70 h of stable CO production were achieved. This represents the highest light enhancement effect reported for this model photocatalyst to date. The reactor presented herein allows continuous operation and a significant reduction of 31% in heater power consumption when provided with an additional 2 suns of irradiation, demonstrating the strong photo- and thermal-harvesting performances of the catalyst system developed in this work. Y1 - 2020 U6 - https://doi.org/10.1021/acsami.0c06232 SN - 1944-8244 VL - 12 IS - 30 SP - 33613 EP - 33620 PB - American Chemical Society (ACS) ER - TY - CHAP A1 - Voit, Thomas A1 - Schneider, Alexander A1 - Kriegbaum, Mathias T1 - Towards an Empirically Based Gamification Pattern Language using Machine Learning Techniques N2 - The ineffectiveness of many gamification projects can be attributed to wrong decisions made during the conceptual design phase, especially in the selection of game design elements. This paper introduces a data driven method of creating a gamification pattern language similar to software design patterns to help gamification designers select such elements. Thanks to modern machine learning technologies such a pattern language can be based on a comprehensive empirical analysis to assess the actual use of game design elements in games. This paper is the first report on an ongoing research project that has been carried out since the beginning of 2017 in cooperation with the German Games Archive to extract game design elements from more than 30,000 board games using machine learning techniques. Initial tests based on support vector classification and 4,000 games show that game design elements can be reliably identified with accuracy rates between 80 and 90%. KW - Gamification, Game Design, Pattern Language, Machine Learning Y1 - 2020 U6 - https://doi.org/10.1109/cseet49119.2020.9206223 SN - 2377-570X PB - IEEE ER - TY - JOUR A1 - Guo, Jiuli A1 - Duchesne, Paul N. A1 - Wang, Lu A1 - Song, Rui A1 - Xia, Meikun A1 - Ulmer, Ulrich A1 - Sun, Wei A1 - Dong, Yuchan A1 - Loh, Joel Y. Y. A1 - Kherani, Nazir P. A1 - Du, Jimin A1 - Zhu, Baolin A1 - Huang, Weiping A1 - Zhang, Shoumin A1 - Ozin, Geoffrey A. T1 - High-Performance, Scalable, and Low-Cost Copper Hydroxyapatite for Photothermal CO2 Reduction JF - ACS Catalysis Y1 - 2020 U6 - https://doi.org/10.1021/acscatal.0c03806 SN - 2155-5435 VL - 10 IS - 22 SP - 13668 EP - 13681 PB - American Chemical Society (ACS) ER - TY - JOUR A1 - Eisenlauer, Moritz A1 - Teipel, Ulrich T1 - Comminution of Wood – Influence of Process Parameters JF - Chemical Engineering & Technology N2 - An essential element for sustainable use of renewable resources is an efficient comminution process for which the relation between energy input and size reduction is of great importance. Fine comminution of beech, oak, and spruce wood chips in cutting and hammer mills at different moisture content levels is investigated. The influence of the different process parameters as well as the size reduction performed by the hammer and cutting mill on the specific comminution energy is reported and the particulate properties of the comminution products are reported. Considering the energy requirements, functional relations were derived from the experimental results, which describe the relation between comminution energy and size reduction. Y1 - 2020 U6 - https://doi.org/10.1002/ceat.201900488 SN - 0930-7516 VL - 43 IS - 5 SP - 838 EP - 847 PB - Wiley ER - TY - JOUR A1 - Teipel, Ulrich T1 - Aufbereitung von Sekundärrohstoffen der Bau- und Keramikindustrie JF - Keramische Zeitschrift Y1 - 2020 U6 - https://doi.org/10.1007/s42410-020-0130-3 SN - 0023-0561 VL - 72 IS - 3 SP - 36 EP - 42 PB - Springer Science and Business Media LLC ER - TY - JOUR A1 - Dresel, Alexander A1 - Teipel, Ulrich T1 - Jet Dispersion of Multiwall Carbon Nanotubes and Correlation with Suspension Rheology JF - Chemical Engineering & Technology N2 - A novel jet dispersion technique was developed and investigated which enabled excellent carbon nanotube (CNT) dispersion by high exfoliation at even very low pressure drops. Suitable procedures were developed for the characterization of agglomerate size and fraction of individual CNTs. The appropriate characterization enabled the definition of a dimensionless dispersing parameter and the development of a kinetic model that describes CNT dispersion in dependence of the volumetric energy input. The rheological behavior of CNT suspensions in steady‐shear flows was investigated and demonstrated how the agglomerate fracture and CNT individualization influence the suspension viscosity. Y1 - 2020 U6 - https://doi.org/10.1002/ceat.201900534 SN - 0930-7516 VL - 43 IS - 5 SP - 869 EP - 878 PB - Wiley ER - TY - JOUR A1 - Chairopoulou, Makrina A. A1 - Kratzer, Fabian A1 - Groß, Roland A1 - Herrmann, Michael A1 - Teipel, Ulrich T1 - Influence of the Temperature on Coccolith‐Containing Systems from Emiliania huxleyi Cultivations JF - Chemical Engineering & Technology N2 - Thermogravimetric analysis of a coccolith‐containing biogenic broth showed a three‐step degradation process. According to this system behavior, the biogenic broth was heated to specific temperatures and characterized in terms of its morphology, surface chemistry, and crystallinity. The elemental and organic composition of the treated samples was also evaluated and compared to the reference material. The presented results were acquired in an effort to exploit pretreatment scenarios for such a biogenic system that would improve and support a separation process. Y1 - 2020 U6 - https://doi.org/10.1002/ceat.201900507 SN - 0930-7516 VL - 43 IS - 5 SP - 904 EP - 912 PB - Wiley ER - TY - JOUR A1 - Seiler, Elisa A1 - Urban, Helfried A1 - Teipel, Ulrich T1 - Mikrowellenpyrolyse von carbonfaserhaltigen Kunststoffen als Recyclingoption JF - Chemie Ingenieur Technik N2 - Herausforderungen bei der Etablierung einer Circular Economy von carbonfaservertärkten Kunststoffen (CFK) ergeben sich insbesondere durch die nötige, jedoch problematische Trennung des Faser‐Matrix‐Verbunds. Das Pyrolyseverfahren stellt eine mögliche, bereits industriell umgesetzte, Technologie zur Verbundtrennung dar. Eine Weiterentwicklung ist die mikrowellenunterstütze Pyrolyse, bei der das CFK‐Material durch die Mikrowellen aufgeheizt und so die Faser freigelegt wird. Prozessgrundlagen und Einflüsse auf die Faser‐Matrix‐Trennung werden im vorliegenden Beitrag betrachtet. T2 - Microwave Pyrolysis of Carbon-Fiber-Reinforced Plastics as Recycling Option Y1 - 2020 U6 - https://doi.org/10.1002/cite.201900133 SN - 0009-286X VL - 92 IS - 4 SP - 469 EP - 475 PB - Wiley ER -