@misc{10935,
  abstract     = {{One of the challenges in universities is to take into account the different competences of students throughout the process of imparting knowledge. It is unlikely that all students will grasp the course content in the same way, as they have different abilities. Similarly, it is unrealistic for teachers to address all the individual needs of each student at all times. In addition, maintaining learners' attention to a particular topic is also an essential part of teaching. To overcome these challenges, we are developing AI learning software as part of a research project. The software generates learning scenarios for the students and takes their individual competences into account. The research project focuses on the field of automation technology, especially on programming, as programming skills are usually required in automation environments. When solving the scenarios, students receive immediate feedback on how well they have solved the task. Immediate automated feedback not only meets the students' expectations of quick learning feedback, but it also relieves the teaching staff in the assessment process. In addition, the software includes an interactive user interface that allows learners to see the results of their programming tasks in a simulated 3D environment. This approach aims to maintain learners' attention over a longer learning period. This paper describes the above aspects that are being developed in the research project and previews the new learning opportunities that could arise from the use of AI.}},
  author       = {{Ali, Asmar and Deuter, Andreas}},
  booktitle    = {{Journal of international scientific publications / Science & Education Foundation : Educational Alternatives }},
  issn         = {{1313-2571}},
  keywords     = {{ai education, automated feedback, automation education, educational software, programming}},
  location     = {{Burgas}},
  pages        = {{12--20}},
  publisher    = {{Info Invest }},
  title        = {{{An AI Assistant for Education in Automation}}},
  doi          = {{10.62991/EA1996108906}},
  volume       = {{21}},
  year         = {{2023}},
}

@misc{11385,
  abstract     = {{Accurate pH calculations are essential for scientists across different disciplines to design optimal reactor solutions, but they can be arduous to calculate for complex acid-base solutions. Visual Water is a powerful software tool that provides accurate pH calculations with automated mathematical uncertainty analysis. Its workflow is presented and validated using acids and bases, showing a deviation of < 0.2 pH units between measured and calculated pH values. This highlights the software's reliability, which can help to simplify the work of non-experts in water chemistry.}},
  author       = {{Kosse, Pascal and Hernández Rodriguez, Tanja and Frahm, Björn and Lübken, Manfred and Wichern, Marc}},
  booktitle    = {{Chemie Ingenieur Technik}},
  issn         = {{1522-2640}},
  keywords     = {{Acid-base equilibria, Carboxylic acids, Dissociation constants, pH calculation software, Uncertainty assessment}},
  number       = {{12}},
  pages        = {{1960--1969}},
  publisher    = {{Wiley}},
  title        = {{{Validation and Uncertainty Assessment of a Software‐Integrated Workflow for pH Calculations}}},
  doi          = {{10.1002/cite.202300082}},
  volume       = {{95}},
  year         = {{2023}},
}

@inproceedings{2005,
  abstract     = {{We present a method for the fast and robust linear classification of badly conditioned data. In our considerations, badly conditioned data are such data which are numerically difficult to handle. Due to, e.g. a large number of features or a large number of objects representing classes as well as noise, outliers or incompleteness, the common software computation of the discriminating linear combination of features between classes fails or is extremely time consuming. The theoretical foundations of our approach are based on the single feature ranking, which allows fast calculation of the approximative initial classification boundary. For the increasing of classification accuracy of this boundary, the refinement is performed in the lower dimensional space. Our approach is tested on several datasets from UCI Reposi-tiory. Experimental results indicate high classification accuracy of the approach. For the modern real industrial applications such a method is especially suitable in the Cyber-Physical-System environments and provides a part of the workflow for the automated classifier design}},
  author       = {{Dörksen, Helene and Lohweg, Volker}},
  booktitle    = {{23rd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)}},
  keywords     = {{Task analysis, Software, Linear discriminant analysis, Dimensionality reduction, Mathematical model, Covariance matrices, Measurement}},
  location     = {{ Turin, Italy }},
  title        = {{{Linear Classification of Badly Conditioned Data. }}},
  doi          = {{10.1109/ETFA.2018.8502485}},
  year         = {{2018}},
}

@inproceedings{4327,
  abstract     = {{In ever changing world, the industrial systems become more and more complex. Machine feedback in the form of alarms and notifications, due to its growing volume, becomes overwhelming for the operator. In addition, expectations in relation to system availability are growing as well. Therefore, there exists strong need for new solutions guaranteeing fast troubleshooting of problems that arise during system operation. The approach proposed in this study uses advantages of the Asset Administration Shell, machine learning, and human-machine interaction in order to create the assistance system which holistically addresses the issue of troubleshooting complex industrial systems.}},
  author       = {{Lang, Dorota and Wunderlich, Paul and Heinz, Mario and Wisniewski, Lukasz and Jasperneite, Jürgen and Niggemann, Oliver and Röcker, Carsten}},
  booktitle    = {{14th IEEE International Workshop on Factory Communication Systems (WFCS)}},
  keywords     = {{Maintenance engineering, Adaptation models, Machine learning, Data models, Standards, Software, Bayes methods}},
  location     = {{Imperia, Italy }},
  publisher    = {{IEEE}},
  title        = {{{Assistance System to Support Troubleshooting of Complex Industrial Systems}}},
  doi          = {{10.1109/WFCS.2018.8402380}},
  year         = {{2018}},
}

@inproceedings{551,
  abstract     = {{Companies that use product lifecycle management (PLM) systems need to configure them individually. Such configuration is considered as a software development process. This article demonstrates how the software development process for PLM configuration can be improved by applying applicationlifecycle management (ALM) concepts. This paper explains how such a conceptdesigncan be created and implemented. The concept was evaluated in a real industrial case study. By this, it provides valuable insights useablefor any company, facing similar challenges as depicted in this paper.}},
  author       = {{Heister, Martin and Deuter, Andreas and Schrader, B.}},
  booktitle    = {{Production Engineering and Management}},
  editor       = {{Villmer, Franz-Josef and Padoano, Elio}},
  isbn         = {{978-3-946856-03-0}},
  keywords     = {{PLM, ALM, Software engineering, V-model, Scrum}},
  location     = {{Lemgo}},
  number       = {{1}},
  pages        = {{31--41}},
  title        = {{{Design of an ALM-Based Process for Configuring PLM Systems}}},
  year         = {{2018}},
}

@inproceedings{594,
  abstract     = {{Due to steadily increased demand for customized products, as well as their enhanced complexity and shorter product lifecycles, companies in all industries require a reliable prediction of the expected product development costs from the very start of product realization. Incorrectly estimated project costs may lead to serious consequences in the course of a development project. For example, offers are most often based on such early cost estimations and consequently, a major safety margin has to be added, which may result in the refusal of an order. A too low estimation of the costs of aproduct development project, on the other hand, may result in a loss for the project.In this paper, a software tool is presented for the prediction of product development costs which offers the user the ability to create a more accurate prediction of project costs on the basis of a minimum of retrograde project information. By combining a parametric cost model and cost result with stochastic character, based on the Monte Carlo method, in one software system, it is possible to significantly improve projectcost estimations.}},
  author       = {{Otte, Andreas and Scheideler, Eva and Villmer, Franz-Josef}},
  booktitle    = {{Department of Production Engineering and Management}},
  editor       = {{Villmer, Franz-Josef and Padoano, Elio}},
  isbn         = {{978-3-946856-00-9}},
  keywords     = {{Cost prediction, Product realization projects, Monte Carlo method, Parametric cost model, Software tool}},
  location     = {{Lemgo}},
  number       = {{1}},
  pages        = {{281--292}},
  title        = {{{Project Cost Estimator - A Parameter-Based Tool to Predict Product Realization Costs at a Very Early Stage}}},
  year         = {{2016}},
}

@misc{963,
  author       = {{Reetz, Dennis}},
  keywords     = {{Corporate Design Manual, Software as a Service, Webentwicklung, Cloud Computing, Corporate Design, Digitalisierung}},
  pages        = {{97}},
  publisher    = {{Hochschule Ostwestfalen-Lippe}},
  title        = {{{Konzeption einer Webanwendung als Software as a Service-Dienst f\"ur die Erstellung, Verwaltung und Bereitstellung von Gestaltungsrichtlinien}}},
  year         = {{2016}},
}

@misc{1030,
  author       = {{Golbat-Niki Moghadam, Marcel}},
  keywords     = {{Gestaltung, Marketing, Soziale Software, Web-Seite}},
  pages        = {{92}},
  publisher    = {{Hochschule Ostwestfalen-Lippe}},
  title        = {{{Konzeption und Realisierung des Web-Developments für das Netlabel Autumn Leaf Records}}},
  year         = {{2012}},
}

@misc{1117,
  abstract     = {{In dem Kurzfilm HAPPYSAD geht es um einen namentlich unbekannten Hauptdarsteller. Optisch ist er im Alter zwischen 50 und 70 einzuordnen, allerdings spielt auch das Alter dabei keine Primäre Rolle. Der Character an sich erhält keine genauere Einführung und verstärkt damit den Eindruck der Austauschbarkeit und damit Anonymität. [...] Erdrückt von der Einsamkeit und der pausenlos verinnenden Zeit, gehen die Blicke immer wieder hektisch zum offen stehenden Fenster. Der Darsteller fasst den Entschluss [...], sich das Leben zu nehmen. Auf dem Fenstrebrett stehend zögert er kurz, springt dann aber in die Tiefe. Sichtlich benommen kommt er in einer für ihn unbekannten Welt wieder zu sich. [...]Doch überraschend schnell wird er wieder in die Realität zurück befördert und stellt fest, dass es sich bei all dem Erlebten (glücklicherweise) nur um einen Traum gehandelt hat.}},
  author       = {{Wiechmann, Jan}},
  keywords     = {{3D-Grafik-Software, Kurzfilm}},
  pages        = {{21}},
  publisher    = {{Hochschule Ostwestfalen-Lippe}},
  title        = {{{Happy Sad : Ein animierter Kurzfilm}}},
  year         = {{2011}},
}