TY - JOUR A1 - Fliegerbauer, Gabriele A1 - Leiß, Caroline A1 - Schneider, Doris T1 - Lebenslanges Lernen im Beruf: Individuell, virtuell, informell? BT - Ein Workshop der Kommission für Aus- und Fortbildung JF - Bibliotheksforum Bayern N2 - Bibliotheken stehen vor immer neuen Herausforderungen: Ansprüche der Bibliothekskunden, kommerzielle Konkurrenzangebote,Digitalisierung und demographischer Wandel. Um diesen Anforderungen gerecht zu werden, brauchen Bibliotheken Konzepte für ein lebenslanges Lernen ihrer Mitarbeiter. Vorgestellt werden die Ergebnisse eines Workshops der Kommission für Aus- und Fortbildung des Bibliotheksverbunds Bayern, bei dem die interne Fortbildung als Instrument der Personalentwicklung im Mittelpunkt stand. Y1 - 2018 UR - https://www.bibliotheksforum-bayern.de/archiv/2018/heft-2-2018 SN - 0340-000X VL - 12 IS - 2 SP - 125 EP - 127 PB - Bibliotheksverbund Bayern, Bayerische Staatsbibliothek CY - München ER - TY - JOUR A1 - Caglar, Abdul Samed A1 - Iberdemaj, Kaltrina A1 - Rock, Stefan A1 - Schneider, Doris A1 - Vogel, Sabine A1 - Zecherle, Daniela T1 - Verbesserungspotenziale gibt es bestimmt! JF - Bibliotheksforum Bayern Y1 - 2018 UR - https://www.bibliotheksforum-bayern.de/archiv/2018/heft-2-2018 SN - 0340-000X VL - 12 IS - 2 SP - 108 EP - 112 PB - Bibliotheksverbund Bayern, Bayerische Staatsbibliothek CY - München ER - TY - JOUR A1 - Schneider, Doris A1 - Walser, Christina T1 - "Kirjasto heißt Bibliothek" BT - Impressionen von einer Reise zu finnischen Bibliotheken JF - Bibliotheksforum Bayern Y1 - 2019 UR - https://www.bibliotheksforum-bayern.de/archiv/2019/heft-2-2019 SN - 0340-000X VL - 13 IS - 2 SP - 130 EP - 134 PB - Bibliotheksverbund Bayern, Bayerische Staatsbibliothek CY - München ER - TY - JOUR A1 - Baldarelli, Beatrice A1 - Köhler, Antje A1 - Trescher, Klaus T1 - Blended Learning, Gamification und Co BT - Neue Wege zur Vermittlung von Informationskompetenz durch die Bibliothek JF - Bibliotheksforum Bayern Y1 - 2019 UR - https://www.bibliotheksforum-bayern.de/archiv/2019/heft-4-2019 SN - 0340-000X VL - 13 IS - 4 SP - 278 EP - 281 PB - Bibliotheksverbund Bayern, Bayerische Staatsbibliothek CY - München ER - TY - JOUR A1 - Theissler, Andreas A1 - Pérez-Velázquez, Judith A1 - Kettelgerdes, Marcel A1 - Elger, Gordon T1 - Predictive maintenance enabled by machine learning: Use cases and challenges in the automotive industry JF - Reliability Engineering & System Safety N2 - Recent developments in maintenance modelling fuelled by data-based approaches such as machine learning (ML), have enabled a broad range of applications. In the automotive industry, ensuring the functional safety over the product life cycle while limiting maintenance costs has become a major challenge. One crucial approach to achieve this, is predictive maintenance (PdM). Since modern vehicles come with an enormous amount of operating data, ML is an ideal candidate for PdM. While PdM and ML for automotive systems have both been covered in numerous review papers, there is no current survey on ML-based PdM for automotive systems. The number of publications in this field is increasing — underlining the need for such a survey. Consequently, we survey and categorize papers and analyse them from an application and ML perspective. Following that, we identify open challenges and discuss possible research directions. We conclude that (a) publicly available data would lead to a boost in research activities, (b) the majority of papers rely on supervised methods requiring labelled data, (c) combining multiple data sources can improve accuracies, (d) the use of deep learning methods will further increase but requires efficient and interpretable methods and the availability of large amounts of (labelled) data. UR - https://doi.org/10.1016/j.ress.2021.107864 KW - predictive maintenance KW - artificial intelligence KW - machine learning KW - deep learning KW - vehicle KW - automotive KW - reliability KW - lifetime prediction KW - condition monitoring Y1 - 2021 UR - https://doi.org/10.1016/j.ress.2021.107864 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-9673 SN - 0951-8320 VL - 2021 IS - 215 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Reiter, Christoph A1 - Trinkl, Christoph A1 - Zörner, Wilfried A1 - Hanby, Victor Ian T1 - A Dynamic Multinode Model for Component-Oriented Thermal Analysis of Flat-Plate Solar Collectors JF - Journal of Solar Energy N2 - A mathematical model of a flat-plate solar collector was developed on the basis of the physical principles of optics and heat transfer in order to determine collector’s component temperatures as well as collector efficiency. In contrast to many available models, the targeted use of this dynamic model is the detailed, theoretical investigation of the thermal behaviour of newly developed or adjusted collector designs on component level, for example, absorber, casing, or transparent cover. The defined model is based on a multinode network (absorber, fluid, glazing, and backside insulation) containing the relevant physical equations to transfer the energy. The heat transfer network covers heat conduction, convection, and radiation. Furthermore, the collector optics is defined for the plane glazing and the absorber surface and also considers interactions between them. The model enables the variation of physical properties considering the geometric parameters and materials. Finally, the model was validated using measurement data and existing efficiency curve models. Both comparisons proved high accuracy of the developed model with deviation of up to 3% in collector efficiency and 1 K in component temperatures. UR - http://dx.doi.org/10.1155/2015/280694 Y1 - 2015 UR - http://dx.doi.org/10.1155/2015/280694 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-9637 SN - 2314-6230 VL - 2015 PB - Hindawi Publ. CY - New York; Cairo ER - TY - JOUR A1 - Schlingensiepen, Jörn A1 - Mehmood, Rashid A1 - Nemtanu, Florin Codrut T1 - Framework for an Autonomic Transport System in Smart Cities JF - Cybernetics and information technologies N2 - Today the concept of smart cities is discussed in scientific society and politics. A core function of smart cities is transportation. This paper gives a short overview on the concepts for Intelligent Transport Systems (ITS) for smart cities and proposes a framework for the design of an autonomic transportation system that provides personalized mobility services to its users in a smart city setting. The transportation poses extreme environment for ICT systems due to fast moving vehicles and users, requiring real-time acquisition and high performance processing of large scale data, and rapidly changing communication networks topologies and node densities. The aim of this paper is to propose a framework that will act as a reference for the design of future transportation systems that are able to cope with the ever rising system complexities and users’ demands. Therefore, a backbone system providing information at different levels was designed following the principles of a corporative ICT that were proposed in [1]. The framework fulfills the main requirement providing suitable information about the local decision engines in vehicles and infrastructure interacting in smart cities traffic systems. UR - https://doi.org/10.1515/cait-2015-0016 KW - Autonomic Road Transport System (ARTS) KW - COST-ARTS KW - autonomic ICT systems KW - Intelligent Transport System (ITS) KW - service assessment KW - service discovery KW - corporative ICT architecture Y1 - 2015 UR - https://doi.org/10.1515/cait-2015-0016 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-9620 SN - 1314-4081 VL - 15 IS - 5 SP - 50 EP - 62 PB - De Gruyter CY - Berlin ER - TY - JOUR A1 - Hofbauer, Günter A1 - Klimontowicz, Monika A1 - Nocoń, Aleksandra T1 - Basel III Equity Requirements and a Contemporary Rating Approach JF - Copernican Journal of Finance & Accounting N2 - The new equity regulations of Basel III are more restrictive. Therefore the research objective of this article is to show the impact of equity regulations and to provide a proposal for professional preparation for the rating procedure for credit seeking companies. The research method applied is to give an overview of the relevant equity regulations of Basel III. From this research, we can derive that risk is the most important issue to be considered. In consequence, the outcome is a proposal for a contemporary rating approach for companies, containing an appropriate way how to control risk and perform in an excellent way. We can conclude, that the new equity regulations will not only have an impact on banks, but also on credit taking companies. Especially small and medium-sized companies will be affected. Furthermore in future banks intend to get an exhaustive insight into companies. The risks identified in the business will serve as a measure to calculate a risk adequate interest rate, depending on the rating class. Therefore it won’t be sufficient anymore to use only backward looking statements from the balance sheet or profit and loss statement. In this article we propose an evidence based approach for executing a professional and sustainable rating. Supporting this, we provide six dimensions for a contemporary rating approach. UR - http://dx.doi.org/10.12775/CJFA.2016.005 KW - Basel III KW - equity regulation KW - rating classes KW - risk KW - sustainability Y1 - 2016 UR - http://dx.doi.org/10.12775/CJFA.2016.005 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-9616 SN - 2300-3065 VL - 5 IS - 1 SP - 91 EP - 105 PB - Nicolaus Copernicus University CY - Torun ER - TY - JOUR A1 - Notomista, Gennaro A1 - Botsch, Michael T1 - A Machine Learning Approach for the Segmentation of Driving Maneuvers and its Application in Autonomous Parking JF - Journal of Artificial Intelligence and Soft Computing Research (JAISCR) N2 - A classification system for the segmentation of driving maneuvers and its validation in autonomous parking using a small-scale vehicle are presented in this work. The classifiers are designed to detect points that are crucial for the path-planning task, thus enabling the implementation of efficient autonomous parking maneuvers. The training data set is generated by simulations using appropriate vehicle–dynamics models and the resulting classifiers are validated with the small-scale autonomous vehicle. To achieve both a high classification performance and a classification system that can be implemented on a microcontroller with limited computational resources, a two-stage design process is applied. In a first step an ensemble classifier, the Random Forest (RF) algorithm, is constructed and based on the RF-kernel a General Radial Basis Function (GRBF) classifier is generated. The GRBF-classifier is integrated into the small-scale autonomous vehicle leading to excellent performance in parallel-, cross- and oblique- parking maneuvers. The work shows that segmentation using classifies and open-loop control are an efficient approach in autonomous driving for the implementation of driving maneuvers. UR - https://doi.org/10.1515/jaiscr-2017-0017 KW - autonomous parking KW - ensemble learning KW - maneuver segmentation Y1 - 2017 UR - https://doi.org/10.1515/jaiscr-2017-0017 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-9604 SN - 2449-6499 VL - 7 IS - 4 SP - 243 EP - 255 PB - De Gruyter Open CY - Warschau ER - TY - JOUR A1 - Sequeira, Gerald Joy A1 - Lugner, Robert A1 - Jumar, Ulrich A1 - Brandmeier, Thomas T1 - A validation sensor based on carbon-fiber-reinforced plastic for early activation of automotive occupant restraint systems JF - Journal of sensors and sensor systems (JSSS) N2 - In the automotive industry, sensors and sensor systems are one of the most important components in upcoming challenges like highly automated and autonomous driving. Forward-looking sensors (radar, lidar and cameras) have the technical capability to already provide important (pre-)crash information, such as the position of contact, relative crash velocity and overlap (width of contact) before the crash occurs. Future safety systems can improve crash mitigation with sophisticated vehicle safety strategies based on this information. One such strategy is an early activation of restraint systems compared with conventional passive safety systems. These integrated safety systems consist of a combination of predictive forward-looking sensors and occupant restraint systems (airbags, belt tensioners, etc.) to provide the best occupant safety in inevitable crash situations. The activation of the restraint systems is the most critical decision process and requires a very robust validation system to avoid false activation. Hence, the information provided by the forward-looking sensor needs to be highly reliable. A validation sensor is required to check the plausibility of crucial information from forward-looking sensors used in integrated safety systems for safe automated and autonomous driving. This work presents a CFRP-based (carbon-fiber-reinforced plastic) validation sensor working on the principle of change in electrical resistance when a contact occurs. This sensor detects the first contact, gives information on impact position (where the contact occurs) and provides information on the overlap. The aim is to activate the vehicle restraint systems at near T0 (time of first contact). Prototypes of the sensor were manufactured in house and manually and were evaluated. At first, the sensor and its working principle were tested with a pendulum apparatus. In the next stage, the sensor was tested in a real crash test. The comparison of the signals from the CFRP-based sensor with presently used crash sensors in the vehicle highlights its advantages. The crash event can be identified at 0.1 ms after the initial contact. The sensor also provides information on impact position at 1.2 ms and enables a validation of the overlap development. Finally, a possible algorithm for the vehicle safety system using forward-looking sensors with a validation sensor is described. UR - https://doi.org/10.5194/jsss-8-19-2019 Y1 - 2019 UR - https://doi.org/10.5194/jsss-8-19-2019 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-9578 SN - 2194-878X VL - 8 IS - 1 SP - 19 EP - 35 PB - Copernicus Publ. CY - Göttingen ER -