@book{12908,
  abstract     = {{In diesem Open-Access-Tagungsband sind die besten Beiträge des 9. Jahreskolloquiums "Bildverarbeitung in der Automation" (BVAu 2024) enthalten. Das Kolloquium fand am 05. November 2024 auf dem Innovation Campus Lemgo statt. Die vorgestellten neuesten Forschungsergebnisse auf den Gebieten der industriellen Bildverarbeitung erweitern den aktuellen Stand der Forschung und Technik. Die in den Beiträgen enthaltenen anschaulichen Anwendungsbeispiele aus dem Bereich der Automation setzen die Ergebnisse in den direkten Anwendungsbezug.}},
  editor       = {{Jasperneite, Jürgen and Lohweg, Volker}},
  isbn         = {{978-3-662-70996-2}},
  issn         = {{2522-8587}},
  keywords     = {{Industrielle Kommunikationstechnik, Industrielle Bildverarbeitung, Network reliability and redundancy methods, Networked Control Systems, Wireless real-time communication, Open Access}},
  location     = {{Lemgo}},
  pages        = {{63}},
  publisher    = {{Springer Berlin Heidelberg}},
  title        = {{{Bildverarbeitung in der Automation: Ausgewählte Beiträge des Jahreskolloquiums BVAu 2024}}},
  volume       = {{19}},
  year         = {{2024}},
}

@misc{12698,
  abstract     = {{We explore the determinants affecting the emergence of the “pervaded banking system” (PBS) – a mixed system encompassing traditional banks and continuously entering fintech companies – in Austria, Germany, and Switzerland. Drawing on a sample of 604 fintech companies and 802 banks, we compile an unbalanced panel dataset between 2015 and 2019 and employ a fixed-effects negative binomial model to analyze tie formation processes between fintech companies and banks using three analytical perspectives: (i) geographical colocation, (ii) network embeddedness, and (iii) combined effects. Our empirical results demonstrate that geographical factors, network-related drivers, and combined effects positively impact the formation of ties between banks and fintech companies. This study contributes to the debate in small business literature by illuminating how small firms affect system emergence. We make recommendations for bank and fintech managers, as well as political decision-makers, who need a profound systemic understanding to adapt strategies and set the institutional framework.}},
  author       = {{von Horn, Roland and Kudic, Muhamed}},
  booktitle    = {{Journal of Small Business Management}},
  issn         = {{1540-627X}},
  keywords     = {{Fintech, ecosystem, network emergence, alliance}},
  number       = {{4}},
  pages        = {{1749--1780}},
  publisher    = {{Taylor & Francis}},
  title        = {{{Determinants of system emergence at the nexus of banks and fintech – insights from the DACH region}}},
  doi          = {{10.1080/00472778.2023.2169704}},
  volume       = {{62}},
  year         = {{2023}},
}

@book{12907,
  abstract     = {{In diesem Open Access-Tagungsband sind die besten Beiträge des 11. Jahreskolloquiums "Kommunikation in der Automation" (KommA 2020) und des 7. Jahreskolloquiums "Bildverarbeitung in der Automation" (BVAu 2020) enthalten. Die Kolloquien fanden am 28. und 29. Oktober 2020 statt und wurden erstmalig als digitale Webveranstaltung auf dem Innovation Campus Lemgo organisiert.
Die vorgestellten neuesten Forschungsergebnisse auf den Gebieten der industriellen Kommunikationstechnik und Bildverarbeitung erweitern den aktuellen Stand der Forschung und Technik. Die in den Beiträgen enthaltenen anschauliche Anwendungsbeispiele aus dem Bereich der Automation setzen die Ergebnisse in den direkten Anwendungsbezug.}},
  editor       = {{Jasperneite, Jürgen and Lohweg, Volker}},
  isbn         = {{978-3-662-64282-5}},
  issn         = {{2522-8587}},
  keywords     = {{Industrielle Kommunikationstechnik, Industrielle Bildverarbeitung, Network reliability and redundancy methods, Networked Control Systems, Wireless real-time communication, Open Access}},
  location     = {{Lemgo}},
  pages        = {{329}},
  publisher    = {{Springer Berlin Heidelberg}},
  title        = {{{Kommunikation und Bildverarbeitung in der Automation : Ausgewählte Beiträge der Jahreskolloquien KommA und BVAu 2020}}},
  doi          = {{10.1007/978-3-662-64283-2}},
  volume       = {{14}},
  year         = {{2022}},
}

@misc{8888,
  abstract     = {{Diese Arbeit handelt von der Frage, wie Tonaufnahmen-basierte Lernprozesse im Learning Management System der Hochschule für Musik Detmold, Moodle, erweitert werden können. Dazu werden LMS zunächst definiert und anschließend in die Bildungslandschaft eingeordnet. Daraufhin wird der Status Quo betrachtet mit der Feststellung, dass ein Bedarf an Werkzeugen besteht. Dieser Bedarf wurde durch die Programmierung zweier Anwendungen adressiert, die eine Integration im LMS ermöglichen und damit zu einer erhöhten Nutzbarkeit von Tonaufnahmen und musikalischen Inhalten führen sollen. Zum einen ist das eine Implementation des DTW Algorithmus, mittels welchem sich Synchronisationsdaten zwischen zwei verschiedenen Musikdarstellungen desselben Stückes berechnen lassen. Damit ließe sich bspw. ein Interface erstellen, auf dem die Anzeige der Musikwiedergabe mit der Anzeige einer Notenpartitur synchronisiert wird. Die zweite Anwendung fällt in den Bereich des maschinellen Lernens – es wurde ein automatischer Instrumentenklassifizierer geschrieben. Dieser eignet sich zur Erstellung von automatischen Taggings, zwecks Organisation von Daten und Gehörübungen. Die Nutzung einer CNN-Architektur hat sich dabei als effektiv erwiesen: Nach insgesamt 39 Lernepochen und knapp 7 Millionen gelernten Parametern konnte eine Genauigkeit von 95% erzielt werden. Als Datensatz diente die frei verfügbare Aufnahmensammlung des britischen Philharmonia Orchesters (vgl. Thorben Dittes). 
Im zweiten Kapitel soll ein Abstecken der Zwecke der einzelnen Programme die Designentscheidungen informieren, welche daraufhin erläutert werden. Im dritten Teil wird anschließend mit ScoreTube eine DTW Implementation von Berndt et al. zum Vergleich herangezogen, um die vorliegende Arbeit in den aktuellen Diskurs einzuordnen. Der Beitrag endet mit einer Evaluation der Ergebnisse und einem Ausblick auf potenzielle zukünftige Arbeiten.}},
  author       = {{Treiber, Dennis}},
  keywords     = {{learning management system, dynamic time warping, deep learning, convolutional neural network}},
  pages        = {{53}},
  publisher    = {{Technische Hochschule Ostwestfalen-Lippe}},
  title        = {{{Die Verwendung von Tonaufnahmen im LMS : Entwicklung spezifischer digitaler Werkzeuge an Hochschulen.}}},
  year         = {{2022}},
}

@article{9356,
  abstract     = {{In today’s manufacturing industry, enterprise-resource-planning (ERP) systems reach their limit when planning and scheduling production subject to multiple objectives and constraints. Advanced planning and scheduling (APS) systems provide these capabilities and are an extension for ERP systems. However, when integrating an APS and ERP system, the ERP data frequently lacks quality, hindering the APS system from working as required. This paper introduces a data quality (DQ) assessment framework that employs a Bayesian Network (BN) to perform quick DQ assessments based on expert interviews and DQ measurements with actual ERP data. We explain the BN’s functionality, design, and validation and show how using the perceived DQ of experts and a semi-supervised learning algorithm improves the BN’s predictions over time. We discuss applying our framework in an APS system implementation project involving an APS system provider and a medium-sized manufacturer of hydraulic cylinders. Despite considering the DQ assessment framework in such a specific context, it is not restricted to a particular domain. We close by discussing the framework’s limits, particularly the BN as a DQ assessment methodology and future works to improve its performance.}},
  author       = {{Herrmann, Jan-Phillip and Tackenberg, Sven and Padoano, Elio and Hartlief, Jörg and  Rautenstengel, Jens and Loeser, Christine and Böhme, Jörg }},
  issn         = {{1877-0509 }},
  journal      = {{Procedia Computer Science}},
  keywords     = {{Data Quality Assessment, Advanced Planning, Scheduling, Bayesian Network, Enterprise Resource Planning}},
  pages        = {{194--204}},
  publisher    = {{Elsevier}},
  title        = {{{An ERP Data Quality Assessment Framework for the Implementation of an APS system using Bayesian Networks}}},
  doi          = {{https://doi.org/10.1016/j.procs.2022.01.218}},
  volume       = {{200}},
  year         = {{2022}},
}

@book{4851,
  abstract     = {{In diesem Open-Access-Tagungsband sind die besten Beiträge des 9. Jahreskolloquiums "Kommunikation in der Automation" (KommA 2018) und des 6. Jahreskolloquiums "Bildverarbeitung in der Automation" (BVAu 2018) enthalten. Die Kolloquien fanden am 20. und 21. November 2018 in der SmartFactoryOWL, einer gemeinsamen Einrichtung des Fraunhofer IOSB-INA und der Technischen Hochschule Ostwestfalen-Lippe statt.
Die vorgestellten neuesten Forschungsergebnisse auf den Gebieten der industriellen Kommunikationstechnik und Bildverarbeitung erweitern den aktuellen Stand der Forschung und Technik. Die in den Beiträgen enthaltenen anschaulichen Beispiele aus dem Bereich der Automation setzen die Ergebnisse in den direkten Anwendungsbezug.}},
  editor       = {{Jasperneite, Jürgen and Lohweg, Volker}},
  isbn         = {{978-3-662-59894-8}},
  issn         = {{2522-8587}},
  keywords     = {{Industrielle Kommunikationstechnik Industrielle Bildverarbeitung Network reliability and redundancy methods Networked Control Systems Wireless real-time communication Open Access quality control, reliability, safety and risk}},
  location     = {{Lemgo}},
  pages        = {{364}},
  publisher    = {{Springer Vieweg}},
  title        = {{{Kommunikation und Bildverarbeitung in der Automation : Ausgewählte Beiträge der Jahreskolloquien KommA und BVAu 2018}}},
  doi          = {{https://doi.org/10.1007/978-3-662-59895-5}},
  volume       = {{12}},
  year         = {{2020}},
}

@misc{12803,
  abstract     = {{The increasing amount of alarms and information for an operator in a modern plant becomes a significant safety risk. Although the notifications are a valuable support, they also lead to the curse of overloading with information for the operator. Due to the huge amount of alarms it is almost impossible to separate the crucial information from the insignificant ones. Therefore, new procedures are required to reduce these alarm floods and support the operator to minimize the safety risk. One approach is based on learning a causal model that represents the relationships between the alarms. This allows alarm sequences that are causally implied to be reduced to the root cause alarm. Fundamental element of this approach is the causal model. Therefore in this work, different probabilistic graphical models are considered and evaluated on the basis of appropriate criteria. A real use case of a bottle filling module serves as a benchmark for how well they are suitable as a causal model for the application in alarm flood reduction.}},
  author       = {{Wunderlich, Paul and Hranisavljevic, Nemanja}},
  booktitle    = {{2019 IEEE 17th International Conference on Industrial Informatics (INDIN)}},
  isbn         = {{978-1-7281-2928-0}},
  keywords     = {{probabilistic graphical model, causal model, alarm flood reduction, Bayesian network, Markov chain, restricted boltzmann machine, automata}},
  location     = {{Helsinki, Finland }},
  pages        = {{1285--1290}},
  publisher    = {{IEEE}},
  title        = {{{Comparison of Different Probabilistic Graphical Models as Causal Models in Alarm Flood Reduction}}},
  doi          = {{10.1109/indin41052.2019.8972251}},
  year         = {{2019}},
}

@misc{12834,
  abstract     = {{In the context of Industry 4.0, extensive deployment and application of advanced manufacturing equipment and various sensors is leading to a growing demand for data exchange between different devices. In smart factories, network transmission has multiprotocol features of wired/wireless communication, and different data flows have different real-time requirements. In this article, a heterogeneous network architecture based on software-defined network is proposed for realizing cross-network flexible forwarding of multisource manufacturing data and optimized utilization of network resources. Subsequently, the mechanism of cross-network fusion and scheduling (CNFS) is analyzed from the perspective of high dynamic characteristics and different delay requirements of data flows. Based on this analysis, a route-aware data flow dynamic reconstruction algorithm is proposed. The proposed algorithm improves the efficiency of manufacturing data cross-network fusion, especially for multivariety and small-batch intelligent manufacturing systems. Furthermore, for meeting the bandwidth requirements of different delay flows, a delay-sensitive network bandwidth scheduling algorithm is proposed. Finally, the effectiveness of the proposed CNFS mechanism is verified using a candy packaging intelligent production line prototype platform.}},
  author       = {{Wan, Jiafu and Yang, Jun and Wang, Shiyong and Li, Di and Li, Peng and Xia, Min}},
  booktitle    = {{IEEE Transactions on Industrial Informatics}},
  issn         = {{1941-0050}},
  keywords     = {{Heterogeneous networks, Real-time systems, Bandwidth, Job shop scheduling, Smart manufacturing, Computer architecture, Cross-network fusion, heterogeneous networks, network resource}},
  number       = {{9}},
  pages        = {{6059--6068}},
  publisher    = {{Institute of Electrical and Electronics Engineers (IEEE)}},
  title        = {{{Cross-Network Fusion and Scheduling for Heterogeneous Networks in Smart Factory}}},
  doi          = {{10.1109/tii.2019.2952669}},
  volume       = {{16}},
  year         = {{2019}},
}

@misc{12239,
  abstract     = {{The modelling community has identified challenges for the integration and assessment of lake models due to the diversity of modelling approaches and lakes. In this study, we develop and assess a one-dimensional lake model and apply it to 32 lakes from a global observatory network. The data set included lakes over broad ranges in latitude, climatic zones, size, residence time, mixing regime and trophic level. Model performance was evaluated using several error assessment metrics, and a sensitivity analysis was conducted for nine parameters that governed the surface heat exchange and mixing efficiency. There was low correlation between input data uncertainty and model performance and predictions of temperature were less sensitive to model parameters than prediction of thermocline depth and Schmidt stability. The study provides guidance to where the general model approach and associated assumptions work, and cases where adjustments to model parameterisations and/or structure are required.}},
  author       = {{Bruce, Louise C. and Frassl, Marieke A. and Arhonditsis, George B. and Gal, Gideon and Hamilton, David P. and Hanson, Paul C. and Hetherington, Amy L. and Melack, John M. and Read, Jordan S. and Rinke, Karsten and Rigosi, Anna and Trolle, Dennis and Winslow, Luke and Adrian, Rita and Ayala, Ana I. and Bocaniov, Serghei A. and Boehrer, Bertram and Boon, Casper and Brookes, Justin D. and Bueche, Thomas and Busch, Brendan D. and Copetti, Diego and Cortés, Alicia and de Eyto, Elvira and Elliott, J. Alex and Gallina, Nicole and Gilboa, Yael and Guyennon, Nicolas and Huang, Lei and Kerimoglu, Onur and Lenters, John D. and MacIntyre, Sally and Makler-Pick, Vardit and McBride, Chris G. and Moreira, Santiago and Özkundakci, Deniz and Pilotti, Marco and Rueda, Francisco J. and Rusak, James A. and Samal, Nihar R. and Schmid, Martin and Shatwell, Tom and Snorthheim, Craig and Soulignac, Frédéric and Valerio, Giulia and van der Linden, Leon and Vetter, Mark and Vinçon-Leite, Brigitte and Wang, Junbo and Weber, Michael and Wickramaratne, Chaturangi and Woolway, R. Iestyn and Yao, Huaxia and Hipsey, Matthew R.}},
  booktitle    = {{Environmental modelling & software with environment data news }},
  issn         = {{1873-6726}},
  keywords     = {{Lake model, Stratification, GLM, Model assessment, Global observatory data, Network science}},
  number       = {{4}},
  pages        = {{274--291}},
  publisher    = {{Elsevier Science}},
  title        = {{{A multi-lake comparative analysis of the General Lake Model (GLM): Stress-testing across a global observatory network}}},
  doi          = {{10.1016/j.envsoft.2017.11.016}},
  volume       = {{102}},
  year         = {{2018}},
}

@book{4506,
  abstract     = {{In diesem Tagungsband sind die besten Beiträge des 7. Jahreskolloquiums "Kommunikation in der Automation" (KommA 2016) und des  5. Jahreskolloquiums "Bildverarbeitung in der Automation" (BVAu 2016) enthalten. Die Kolloquien fanden am 30. November und 1. Dezember 2016 anlässlich des 10jährigen Jubiläums des inIT - Institut für industrielle Informationstechnik in der SmartFactoryOWL, einer herstellerunabhängigen und offenen Industrie 4.0 Forschungs- und Demonstrationsplattform und zugleich Testfeld für den Mittelstand, in Lemgo statt.
Die vorgestellten neuesten Forschungsergebnisse auf den Gebieten der industriellen Kommunikationstechnik und Bildverarbeitung erweitern den aktuellen Stand der Forschung und Technik. Die in den Beiträgen enthaltenen anschauliche Anwendungsbeispiele aus dem Bereich der Automation setzen die Ergebnisse in den direkten Anwendungsbezug.}},
  editor       = {{Jasperneite, Jürgen and Lohweg, Volker}},
  isbn         = {{978-3-662-55231-5}},
  keywords     = {{Industrielle Kommunikationstechnik, Industrielle Bildverarbeitung, network reliability and redundancy methods, Networked Controls Systems, wireless real-time communication, quality control, reliability, safety and risk}},
  location     = {{Lemgo}},
  pages        = {{295}},
  publisher    = {{Springer Vieweg}},
  title        = {{{ Kommunikation und Bildverarbeitung in der Automation : Ausgewählte Beiträge der Jahreskolloquien KommA und BVAu 2016 zum 10jährigen Jubiläum des inIT - Institut für industrielle Informationstechnik}}},
  doi          = {{10.1007/978-3-662-55232-2}},
  volume       = {{7}},
  year         = {{2017}},
}

@inproceedings{328,
  abstract     = {{In  this  paper,  concepts  for  an  extended  DC network for the main power supply of components from various manufacturers in industrial production are presented. In the first part,  detailed  requirements  for  such  a  network  are  given  from the  viewpoint  of  a  customer.  Based  on  those,  different  concepts for AC/DC conversion and energy management are discussed. As far  as  AC/DC  conversion  is  concerned,  the  advantages  and drawbacks of several rectifier topologies are listed, as they have a significant  impact  on  the  system  behavior  and  EMC  properties. 
An  intelligent  energy  management  can  improve  the  energy efficiency  and  reduce  downtimes  of  a  plant,  which  are  major requirements from a customer’s viewpoint. }},
  author       = {{Borcherding, Holger and Austermann, Johann and Kuhlmann, Timm and Weis, Benno and Leonide, Andre}},
  booktitle    = {{2017 IEEE Second International Conference on DC Microgrids (ICDCM)}},
  keywords     = {{AC-DC power convertors, electromagnetic compatibility, energy conservation, energy management systems, rectifiers, main power supply, industrial production, DC network, AC-DC conversion, rectifier topologies, EMC properties, intelligent energy management, energy efficiency improvement, downtime reduction, Rectifiers, Switches, Voltage control, Topology, Network topology, Production, Grounding, industrial DC grid, SMART Grid}},
  location     = {{Nürnberg}},
  number       = {{1}},
  pages        = {{227--234}},
  title        = {{{Concepts for a DC Network in Industrial Production}}},
  doi          = {{10.1109/ICDCM.2017.8001049}},
  year         = {{2017}},
}

@inproceedings{576,
  abstract     = {{Due to a high level of competition in automotive industry, it is essentially important for automotive companies to develop innovative strategies and technologies in production and logistics. Postponement of production difference, i.e., customer individualized demand has been considered as an innovative strategy and more or less implemented in the production process, mostly before and during the final assembly. This paper proposed the concept of postponing the individualization of some components after the assembly. The idea is to use the idle times especially during the distribution process when vehicles are accumulated to generate big transportation batches or the follow-up transport does not start immediately. The individualization is carried out in specially realized workshops. Objectives of the approach are to reduce variations in the manufacturing, to shorten delivery times and to give consumers the ability to reorder individual components shortly before delivery. This kind of postponement of individualization induces the requirement of redesigning the logistics network, which means the selection of workshop locations and the new selection of the suppliers for the individualized components. To reach this aim, a software tool has been developed. In the tool, the data required in the logistics network such as suppliers and workshop potential locations are managed in a MySQL database and the optimization of the network is achieved by the especiallydeveloped non-dominated sorting genetic algorithm-II (NSGA-II). The design and development of the solution individuals and the fitness functions, which are the most important elements of a genetic algorithm, are based on the mathematical model of the logistics network design with product late individualization. Different scenarios are considered and generated to examine the applicability of the methodology in automotive practice. The optimization model and the heuristics of genetic algorithm are validated through the Pareto solutions for different scenarios.}},
  author       = {{Li, Li}},
  booktitle    = {{Production Engineering and Management}},
  editor       = {{Padoano, Elio and Villmer, Franz-Josef}},
  isbn         = {{978-3-946856-01-6}},
  keywords     = {{Automotive industry, Logistics network configuration, Late product individualization, Postponement, NSGGA}},
  location     = {{Pordenone, Italy}},
  number       = {{1}},
  pages        = {{139--150}},
  title        = {{{Optimization of Automotive Logistics Network with Late Product Individualization}}},
  year         = {{2017}},
}

@inbook{5932,
  abstract     = {{Groupage transports are frequently calculated based on freight rates assuming a declining rate with respect to volume and to transportation distance. This paper investigates the case of feeding many small shipments to customers via a freight forwarder network. It is argued that costs for post-carriage transport dominate other costs. Based on a theoretical estimate, simulation experiments for the case of a uniform distribution of customer locations around the subsidiary with a fixed shipment size per drop suggest that the aggregate costs grow progressively with increasing customer drop distances from the subsidiary. The resulting implications for transport modelling are discussed.}},
  author       = {{Boone, Nicholas and Quisbrock, Tim}},
  booktitle    = {{Advanced manufacturing and sustainable logistics : proceedings / 8th International Heinz Nixdorf Symposium, IHNS 2010, Paderborn}},
  isbn         = {{978-3-642-12461-7}},
  keywords     = {{cost-by-cause principle, freight forwarder, freight rates, network, overhead costs, pricing, simulation, transport}},
  location     = {{Paderborn}},
  pages        = {{332--344}},
  publisher    = {{Springer}},
  title        = {{{Modelling post-carriage transport costs in groupage networks}}},
  doi          = {{doi.org/10.1007/978-3-642-12494-5_30}},
  year         = {{2011}},
}

@misc{10155,
  abstract     = {{This paper describes a method for automatically obtaining the order and position of contactless connected network participants in a linear physical topology. While the sequence of network devices can be determined with quite simple methods in networks with physical interconnections, these methods can not be applied in contactless networks. This work is based on a linear network topology using a backbone rail, which includes mechanisms for contactless energy and data transmission. The position estimation for each attached network device can be performed by determining a specific physical characteristic, which is altered along the rail extension. The proposed solution uses a capacitive resonant circuit to achieve a position detection.}},
  author       = {{Wesemann, Derk and Witte, Stefan and Michels, Jan-Stefan}},
  booktitle    = {{2009 International Conference on Electrical and Electronics Engineering - ELECO 2009}},
  isbn         = {{978-9944-89-818-8}},
  keywords     = {{network topology, position measurement, voltage measurement, wireless sensor networks}},
  location     = {{Bursa, Turkey }},
  publisher    = {{IEEE}},
  title        = {{{Position Detection in linear, proximity coupling Networks}}},
  doi          = {{10.1109/ELECO.2009.5355273}},
  year         = {{2009}},
}