@phdthesis{SouzaJr, author = {Souza Jr., Luis Antonio de}, title = {Computer-assisted diagnosis of Barrett's esophagus using machine learning techniques}, publisher = {Universidade Federal de S{\~a}o Carlos}, pages = {262}, abstract = {Esophageal adenocarcinoma is an illness that is usually hard to detect at the early stages in the presence of Barrett's esohagus. The development of automatic evaluation systems of such illness may be very useful, thus assisting the experts in the neoplastic region detection. With the strong growth of machine learning techniques aiming to improve the effectivess of medical diagnosis, the use of such approaches characterizes a strong scenario to be explored for the early diagnosis of esophageal adenocarcinoma. Barrett's esophagus as a predecessor of adenocarcinoma can be explained by some risk factors, such as obesity, smoking, and late medical diagnosis. This project proposes the development of new computer vision and machine learning techniques to assist the automatic diagnosis of the esophageal adenocarcinioma based on the evaluation of two kind of features: (i) handcrafted features, calculated by means of human knowledge using some image processing technique and; (ii) deeply-learnable features, calculated exclusively based on deep learning techniques. From the extensive application of global and local protocols for the models proposed in this work, the description of cancer-affected images and Barrett's esophagus-affected samples were generalized and deeply evaluated using, for example, classifiers such as Support Vector Machines, ResNet-50 and the combination of descriptions by handcrafted and deeply-learnable features. Also, the behavior of the automatic definition of key-points within the evaluated techniques was observed, something of a paramount importance nowadays to guarantee transparency and reliability in the decisions made by computational techniques. Thus, this project contributes to both the computational and medical fields, introducing new classifiers, approaches and interpretation of the class generalization process, in addition to proposing fast and precise manners to define cancer, delivering important and novel results concerning the accurate identification of cancer in samples affected by Barrett's esophagus, showing values around 95\% of correct identification rates and arranged in a collection of scientific works developed by the author during the research period and submitted/published to date.}, language = {en} } @phdthesis{Munninger, author = {Munninger, Maximilian}, title = {Betrachtung der inh{\"a}renten Stochastizit{\"a}t durch das Scheduling in Verbindung mit der mehrstufigen Losbildung in einem hierarchischen Planungskonzept}, volume = {2022}, edition = {1. Auflage}, publisher = {Cuvillier Verlag}, address = {G{\"o}ttingen}, isbn = {9783736975958}, pages = {142}, abstract = {In der Dissertationsschrift „Betrachtung der inh{\"a}renten Stochastizit{\"a}t durch das Scheduling in Verbindung mit der mehrstufigen Losbildung in einem hierarchischen Planungskonzept" werden mehrere Modellformulierungen f{\"u}r die L{\"o}sung von mehrstufigen kapazitierten Losgr{\"o}ßenproblemen erarbeitet. Bei der Losgr{\"o}ßenplanung mit Mikroperiodenmlodelen entstehen durch die {\"u}blicherweise integrierte Reihenfolgeplanung keine Versp{\"a}tungen durch Wartezeiten. Jedoch sind die Rechenzeiten f{\"u}r optimale L{\"o}sungen in praxisrelevanten Problemgr{\"o}ßen nahezu unbeherrschbar. Bei einer L{\"o}sung mit Makroperiodenmodellen und einer nachfolgenden Reihenfolgeplanung mit Priorit{\"a}tsregeln entstehen hingegen durch die unzureichenden Kapazit{\"a}tsberechnungen immer wieder unvorhergesehene Wartezeiten. Deshalb werden in der Arbeit drei Modifikationen f{\"u}r das Makroperiodenmodell MLCLSP vorgeschlagen, mit denen diese Wartezeiten gesch{\"a}tzt werden k{\"o}nnen. Im ersten Ansatz werden Kapazit{\"a}tskorrekturfaktoren eingef{\"u}hrt und deren Werte simulativ ermittelt, womit das Problem der reihenfolgebedingten Wartezeiten teilweise behoben werden kann. In einem zweiten Modellvorschlag werden diese Kapazit{\"a}tskorrekturfaktoren mit einer Analogie aus der Warteschlangetheorie gesch{\"a}tzt. Ein drittes Modell wird vorgeschlagen, in dem ein Parameter eingef{\"u}hrt wird mit dem die Robustheit gegen{\"u}ber der inh{\"a}renten Stochastizit{\"a}t zwischen den Losgr{\"o}ßen- und Scheduling-Problemen gesteuert werden kann.}, language = {de} } @misc{MoserEberhardtMeyeretal., author = {Moser, Elisabeth and Eberhardt, Matthias and Meyer, Selina and Schmidhuber, Maximilian and Ketterer, Daniel}, title = {ARGO ship classification dataset [Data set]}, doi = {10.5281/zenodo.6058710}, abstract = {The ARGO ship classification dataset holds 1750 labelled images from PlanetScope-4-Band satelites. The dataset creation process and results on the dataset are published in the demo paper: {CITE} The imagery is provided as numpy binary files. All image data is licensed by Planet Labs PBC. The channel ordering is BGRN. The dataset is provided in two folders named "ship" and "non_ship". Those folders correspond to the original labels created during automated dataset creation. The files are numbered. Two additional .csv files are provided. The shipsAIS_2017_Zone17.csv file holds the AIS information on the imagery contained in the ship folder. The data was retrieved from marinecadastre.gov. During the experiments errors in the automatically created dataset emerged which are further described in the paper. The manual relabelling is supplied in the corrected_labels.csv file.}, language = {en} } @techreport{SchwarzBockWeiss, author = {Schwarz, Philipp and Bock, Sebastian and Weiß, Martin}, title = {Abschlussbericht Projekt LeaP - Learning Poses : Posenerkennung mit Neuronalen Netzen}, address = {Regensburg}, doi = {10.35096/othr/pub-8851}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-88514}, pages = {45}, abstract = {Die Sch{\"a}tzung der 6D-Pose bekannter Objekte findet Anwendungen in der Robotik, der Luft- und Raumfahrtsteuerung und automatisierten Produktionsumgebungen. Es ist nach wie vor g{\"a}ngige Praxis, klassische Bildverarbeitungsmethoden zu verwenden, um eine hohe Pr{\"a}zision zu erreichen. Diese Methoden erfordern jedoch eine manuelle Parametrisierung der verwendeten Erkennungswerkzeuge f{\"u}r jedes einzelne Objekt. Dies wirft die Frage auf, ob maschinelle Lerntechniken, insb. convolutional neural networks, Netzwerke, so trainiert werden k{\"o}nnen, dass sie die in der Industrie geforderte Pr{\"a}zision ohne individuelle Programmierung erreichen k{\"o}nnen. Dar{\"u}ber sollen in Produktionsumgebungen Umwelteinfl{\"u}sse wie Lichtverh{\"a}ltnisse minimiert werden. Es werden verschiedene Netzstrukturen entwickelt und auf ihre Leistung bei diesem Szenario untersucht, mit 1 bis 6 Freiheitsgraden in der Aufgabenstellung und einer oder mehreren Kameras. Zus{\"a}tzlich wird ein Ansatz mit reinforcement learning entwickelt und untersucht.}, language = {de} } @techreport{AlexEichingerHeyderetal., type = {Working Paper}, author = {Alex, Karla and Eichinger, Johanna and Heyder, Clemens and Kandlbinder, Agnes and Loder, Sandra and Rolfes, Vasilija and R{\"o}ttger, Sara and Scharf, Anna and Scorna, Ulrike and Weigold, Stefanie}, title = {Abstractband I: In-vitro-Gametogenese (IVG) und artifizieller Uterus (AU) - Problemausl{\"o}ser oder Probleml{\"o}ser? Ethische, soziale und rechtliche Aspekte zuk{\"u}nftiger reproduktionsmedizinischer Verfahren}, editor = {Cerullo, Laura and Gerhards, Helene and Weber, Karsten}, doi = {10.13140/RG.2.2.30303.53928}, pages = {21}, language = {de} } @misc{OPUS4-7892, title = {Proceedings of the 14th International Conference on Advances in System Simulation, SIMUL 2022, October 16 - 20, 2022, Lisbon, Portugal}, editor = {Herrmann, Frank}, publisher = {IARIA XPS Press}, isbn = {978-1-68558-001-8}, issn = {2308-4537}, pages = {85}, language = {en} } @inproceedings{TerbrackClausHerrmann, author = {Terbrack, Hajo and Claus, Thorsten and Herrmann, Frank}, title = {Emission reduction through production scheduling by priority rules and energy onsite generation}, series = {Proceedings of the 36th ECMS International Conference on Modelling and Simulation (ECMS 2022), May 30th - June 3rd, 2022, {\AA}lesund, Norway}, booktitle = {Proceedings of the 36th ECMS International Conference on Modelling and Simulation (ECMS 2022), May 30th - June 3rd, 2022, {\AA}lesund, Norway}, publisher = {ECMS}, isbn = {978-3-937436-77-7}, issn = {2522-2414}, doi = {10.7148/2022-0114}, pages = {114 -- 120}, abstract = {This article describes primary findings of various simulation runs on job shop scheduling dealing with energy consumption and emission pollution. By two combinations of priority rules, production is linked to the generation output of a renewable energy source installed onsite. The resulting schedules show a reduction of energy-related emissions and makespan compared to several conventional priority rules often used in industrial practice.}, language = {en} } @misc{TerbrackClausHerrmann, author = {Terbrack, Hajo and Claus, Thorsten and Herrmann, Frank}, title = {An Optimization Model for Production Scheduling with Energy Consumption and Energy-related Emissions}, series = {OR 2022, International Conference on Operations Research 2022, September 6-9, 2022, Karlsruhe}, journal = {OR 2022, International Conference on Operations Research 2022, September 6-9, 2022, Karlsruhe}, abstract = {Due to the scarcity of resources, rising costs as well as the further need for ecological improvement in industrial production, firms are increasingly motivated to take into account energy consumption in production planning. Associated with this, the consideration of energy-related emissions is becoming an additional point of interest for decisionmakers in both, economic and ecological terms. Based on an extensive systematic literature review, the study at hand presents a multicriterial scheduling problem that addresses tardiness, energy consumption and energy-related emissions in production scheduling. A model is introduced that takes into account job release dates, multiple machine states, a power demand threshold as well as time-varying emission conversion factors. Multiple case studies are analysed and the effects of different technological implementations as energy onsite generation and energy storage systems are evaluated. Furthermore, several price mechanisms regarding energy procurement and emission trading are discussed. Moreover, by coupling the optimization model to a discrete event simulation model, we are able to compare the model results to real case scenarios. First computational experiments have demonstrated that the model and its extensions can effectively reduce the environmental impact associated with production while simultaneously considering corresponding economic objectives. Based on the proposed approach, our research aims on answering the question with which economic trade-offs an ecological improvement in terms of energy consumption and emission output can be achieved in production.}, language = {en} } @article{HillebrandWestnerMatschi, author = {Hillebrand, Patrick and Westner, Markus and Matschi, Markus}, title = {Key factors of successful CIOs}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-66882}, pages = {22}, abstract = {This study examines key factors of successful CIOs in large German companies. With a median tenure of 4.0 years, German CIOs, most of whom (43\%) still report to the CFO, have a significantly shorter tenure compared to other C‑level positions. The results of 60 interviews with successful German-speaking CIOs, who primarily have an above-average tenure, reveal various key factors for successful CIOs: The foundation for success is to ensure secure and efficient IT operations. Through effective and innovative change pro-jects, the CIOs interviewed make the added value of IT transparent and act as bridge-builders between IT and the business. In this way, they have a positive impact on the corporate culture and establish IT as a success factor in the business in the long term. Successful CIOs themselves are not "techies" but are characterized by a high level of leadership competence and a high level of business expertise, coupled with visionary thinking. This enables them to align IT in a future-oriented manner and to anticipate de-mands and potential for and from the business units at an early stage. The future devel-opment of the CIO organization and the paradigms in IT, on the other hand, was discussed controversially by some of the study participants—for example, there is still no uniform opinion on the relevance of the CDO position.}, language = {en} } @article{BrenningHecknerWolff, author = {Brenning, Stefanie and Heckner, Markus and Wolff, Christian}, title = {Design Thinking als Innovationsmethode im Hochschulkontext - Konzepte und Erfahrungen}, series = {Die Neue Hochschule: DNH}, journal = {Die Neue Hochschule: DNH}, number = {3}, doi = {10.5281/zenodo.6576069}, pages = {22 -- 25}, abstract = {Wir m{\"o}chten mit diesem Beitrag die Ergebnisse der Evaluation eines Design-Thinking-Workshopformats zur Unterst{\"u}tzung von Innovation und Transfer im Hochschulverbund TRIO vorstellen und Einblicke in unsere Erkenntnisse geben.}, language = {de} } @inproceedings{NunesVolbert, author = {Nunes, Danilo Weber and Volbert, Klaus}, title = {A Wireless Low-power System for Digital Identification of Examinees (Including Covid-19 Checks)}, series = {Proceedings of the 11th International Conference on Sensor Networks (SENSORNETS), 07.02.2022 - 08.02.2022}, booktitle = {Proceedings of the 11th International Conference on Sensor Networks (SENSORNETS), 07.02.2022 - 08.02.2022}, publisher = {SCITEPRESS - Science and Technology Publications}, isbn = {978-989-758-551-7}, doi = {10.5220/0010912800003118}, pages = {51 -- 59}, abstract = {Indoor localization has been, for the past decade, a subject under intense development. There is, however, no currently available solution that covers all possible scenarios. Received Signal Strength Indicator (RSSI) based methods, although the most widely researched, still suffer from problems due to environment noise. In this paper, we present a system using Bluetooth Low Energy (BLE) beacons attached to the desks to localize students in exam rooms and, at the same time, automatically register them for the given exam. By using Kalman Filters (KFs) and discretizing the location task, the presented solution is capable of achieving 100\% accuracy within a distance of 45cm from the center of the desk. As the pandemic gets more controlled, with our lives slowly transitioning back to normal, there are still sanitary measures being applied. An example being the necessity to show a certification of vaccination or previous disease. Those certifications need to be manually checked for everyone entering the university's building, which requires time and staff. With that in mind, the automatic check for Covid certificates feature is also built into our system.}, language = {en} } @inproceedings{Stadler, author = {Stadler, Sebastian}, title = {Potential Usages of Virtual Reality in Design Research and Practice - A Review}, series = {Business Meets Technology, 4th international conference, 7th to 9th July 2022, Ansbach}, booktitle = {Business Meets Technology, 4th international conference, 7th to 9th July 2022, Ansbach}, publisher = {Editorial Universitat Polit{\`e}cnica de Val{\`e}ncia}, address = {Val{\`e}ncia}, isbn = {9788413960289}, doi = {10.4995/BMT2022.2022.15961}, abstract = {Besides application fields such as entertainment and marketing, the technology of Virtual Reality is also applied in research and practice, including domains such as automotive, architecture, and construction. Furthermore, VR has been utilized for several activities in design practice and design research. However, the impact of this technology on design as a profession remains to be investigated. Thus, in the present study, an integrative literature review is presented to investigate the potential impact of Virtual Reality on design research and design practice. The findings indicate potential advantages on different levels. VR has the potential to enhance problem identification due to laboratorial environments and to foster co-creation due to enhanced motivation and the establishment of synergies between the involved stakeholders. Furthermore, it supports prototyping activities due to its capabilities for realistic scaling and perspectives. And lastly, VR has proven to be advantageous for design evaluations and reviews due to its visualization and immersion potential. Drawbacks of using VR for design research and practice involve technical limitations such as restricted field of view, limited performance, but also aspects such as missing accuracy for prototyping and the absence of haptic feedback. Future work will involve an extended review involving further literature and application domains.}, language = {en} } @misc{SchoenbergerScherzingerMauerer, author = {Sch{\"o}nberger, Manuel and Scherzinger, Stefanie and Mauerer, Wolfgang}, title = {Applicability of Quantum Computing on Database Query Optimization}, series = {Fr{\"u}hjahrstreffen Fachgruppe Datenbanken in Potsdam (Poster Presentation)}, journal = {Fr{\"u}hjahrstreffen Fachgruppe Datenbanken in Potsdam (Poster Presentation)}, language = {en} } @misc{Fischer, author = {Fischer, Sebastian}, title = {A Security-, Privacy-and Usability-Scoring System for IoT Devices}, language = {en} } @incollection{StadlerFrenklerCornet, author = {Stadler, Sebastian and Frenkler, Fritz and Cornet, Henriette}, title = {Design Thinking und Virtual Reality zur F{\"o}rderung von Innovation innerhalb von Unternehmen}, series = {Intrapreneurship : Unternehmergeist Systeme und Gestaltungsm{\"o}glichkeiten}, booktitle = {Intrapreneurship : Unternehmergeist Systeme und Gestaltungsm{\"o}glichkeiten}, editor = {Kraus, Rafaela and Kreitenweis, Tanja and Jeraj, Brigita}, publisher = {Springer Gabler}, address = {Berlin}, isbn = {978-3-662-64101-9}, doi = {10.1007/978-3-662-64102-6_10}, pages = {147 -- 164}, abstract = {Neue Herangehensweisen im Innovationsprozess werden f{\"u}r Unternehmen immer wichtiger, um konkurrenzf{\"a}hig zu bleiben. So bezeichnet Intrapreneurship das Vorgehen, Angestellte innerhalb von Unternehmen selbst als Unternehmerinnen und Unternehmer agieren zu lassen, um so Innovation zu f{\"o}rdern. Der Begriff Design Thinking beschreibt ein Vorgehen, mit Hilfe dessen uneindeutig definierte Probleme behandelt und nutzerzentrierte Produkte entwickelt werden k{\"o}nnen. Die Pr{\"a}misse dieses Beitrags ist es, dass die Kombination von neuartigen Technologien und besonders Virtual Reality mit Design Thinking den Innovationsprozess innerhalb von Unternehmen f{\"o}rdern kann. Anhand zweier Fallbeispiele wird dargestellt, dass neben Nachteilen technischer Natur besonders die M{\"o}glichkeit fiktive Szenarien in VR darzustellen und valide Nutzerdaten in labor{\"a}hnlichen Verh{\"a}ltnissen zu sammeln, Innovation in Unternehmen anregen kann. In weiteren Schritten soll die Nutzung von Design Thinking und Virtual Reality in neuen Applikationsdom{\"a}nen sowie die Nutzung weiterer Designmethoden untersucht werden.}, language = {en} } @incollection{SchwaegerlWestfechtel, author = {Schw{\"a}gerl, Felix and Westfechtel, Bernhard}, title = {Managing Software Product Line Evolution by Filtered Editing: The SuperMod Approach}, series = {Handbook of Re-Engineering Software Intensive Systems into Software Product Lines}, booktitle = {Handbook of Re-Engineering Software Intensive Systems into Software Product Lines}, publisher = {Springer International Publishing}, isbn = {9783031116858}, doi = {10.1007/978-3-031-11686-5_17}, pages = {429 -- 451}, abstract = {This chapter introduces SuperMod, an approach and tool to support the evolution of software product lines (SPLs) by means of a filtered editing model, which is inspired by the checkout-modify-commit workflow established in version control systems. Rather than forcing the developers into editing multi-variant artifacts of an SPL, SuperMod allows them to perform modifications successively in single-variant workspaces and to integrate the changes by indicating the logical scope, i.e., the affected variants, of the change performed. The SPL itself is managed automatically in a transparent repository by the system. As a consequence, developers may re-use the same engineering tools they also used for the development of the product variants prior to the re-engineering process. SuperMod furthermore orchestrates collaborative development and provides dedicated support for (without restricting developers to) model-driven approaches to SPL engineering. We illustrate SuperMod's capabilities by the well-known graph SPL example and discuss the practical benefits of the suggested solution to SPL evolution as well as its relation to SPL re-engineering.}, language = {en} } @article{KynastSchwaegerlHoecker, author = {Kynast, Josef Paul and Schw{\"a}gerl, Felix and H{\"o}cker, Birte}, title = {ATLIGATOR: editing protein interactions with an atlas-based approach}, series = {Bioinformatics}, volume = {38}, journal = {Bioinformatics}, number = {23}, editor = {Martelli, Pier Luigi}, publisher = {Oxford University Press (OUP)}, issn = {1367-4803}, doi = {10.1093/bioinformatics/btac685}, pages = {5199 -- 5205}, abstract = {Abstract Motivation Recognition of specific molecules by proteins is a fundamental cellular mechanism and relevant for many applications. Being able to modify binding is a key interest and can be achieved by repurposing established interaction motifs. We were specifically interested in a methodology for the design of peptide binding modules. By leveraging interaction data from known protein structures, we plan to accelerate the design of novel protein or peptide binders. Results We developed ATLIGATOR—a computational method to support the analysis and design of a protein's interaction with a single side chain. Our program enables the building of interaction atlases based on structures from the PDB. From these atlases pocket definitions are extracted that can be searched for frequent interactions. These searches can reveal similarities in unrelated proteins as we show here for one example. Such frequent interactions can then be grafted onto a new protein scaffold as a starting point of the design process. The ATLIGATOR tool is made accessible through a python API as well as a CLI with python scripts. Availability and implementation Source code can be downloaded at github (https://www.github.com/Hoecker-Lab/atligator), installed from PyPI ('atligator') and is implemented in Python 3.}, language = {en} } @unpublished{SchrammPieperVogl, author = {Schramm, Simon and Pieper, Matthias and Vogl, Stefanie}, title = {Orthogonal Procrustes Based Anomaly Detection and Error Prediction for Vehicle Bills of Materials}, series = {SSRN}, journal = {SSRN}, publisher = {Elsevier}, doi = {10.2139/ssrn.4120321}, pages = {21 S.}, abstract = {Industrial Bill of Materials (BOM) suffer from an surging complexity and cause errors in production which have detrimental effects on a product's profitability. Currently, BOM anomalies have to be identified manually and errors have to be detected in the same way. This preprint describes a combination of data analysis and Machine Learning methods, such as hierarchical and agglomerative clustering, an isolation forest algorithm, association mining and a multi-output Artificial Neural Network, all based on a deterministic distance measure for an industrial BOMs. Solving the orthogonal Procrustes problem for complex, multi-level matrices, a distance measure for real world industrial BOMs was derived. A multi-output MLP was used in order to predict error probabilities with a time- reference. Our results show how to detect anomalies and predict errors in a complex, multi-level BOM based on historical, labelled data. While other authors focus on the mere comparison of BOMs, we aimed at a holistic approach, combining descriptive and predictive methods in order to forecast where in a BOM and at what time of BOM creation process errors occur. The resulting, prescriptive system was tested using real world data and has shown to effectively predict where and when BOM errors are probable to occur. Consequently, the prescriptive system is superior to prior, purely predictive systems, can help to decrease errors and thereby decreases product development time and cost in real world companies.}, language = {en} } @article{VoglLauxBialasetal., author = {Vogl, Stefanie and Laux, Patrick and Bialas, Joachim and Reifenberger, Christian}, title = {Modelling Precipitation Intensities from X-Band Radar Measurements Using Artificial Neural Networks—A Feasibility Study for the Bavarian Oberland Region}, series = {water}, volume = {14}, journal = {water}, number = {3}, publisher = {MDPI}, doi = {10.3390/w14030276}, pages = {1 -- 17}, abstract = {Radar data may potentially provide valuable information for precipitation quantification, especially in regions with a sparse network of in situ observations or in regions with complex topography. Therefore, our aim is to conduct a feasibility study to quantify precipitation intensities based on radar measurements and additional meteorological variables. Beyond the well-established Z-R relationship for the quantification, this study employs Artificial Neural Networks (ANNs) in different settings and analyses their performance. For this purpose, the radar data of a station in Upper Bavaria (Germany) is used and analysed for its performance in quantifying in situ observations. More specifically, the effects of time resolution, time offsets in the input data, and meteorological factors on the performance of the ANNs are investigated. It is found that ANNs that use actual reflectivity as only input are outperforming the standard Z-R relationship in reproducing ground precipitation. This is reflected by an increase in correlation between modelled and observed data from 0.67 (Z-R) to 0.78 (ANN) for hourly and 0.61 to 0.86, respectively, for 10 min time resolution. However, the focus of this study was to investigate if model accuracy benefits from additional input features. It is shown that an expansion of the input feature space by using time-lagged reflectivity with lags up to two and additional meteorological variables such as temperature, relative humidity, and sunshine duration significantly increases model performance. Thus, overall, it is shown that a systematic predictor screening and the correspondent extension of the input feature space substantially improves the performance of a simple Neural Network model. For instance, air temperature and relative humidity provide valuable additional input information. It is concluded that model performance is dependent on all three ingredients: time resolution, time lagged information, and additional meteorological input features. Taking all of these into account, the model performance can be optimized to a correlation of 0.9 and minimum model bias of 0.002 between observed and modelled precipitation data even with a simple ANN architecture.}, language = {en} } @article{PaulFigueroaCotorogeaMarinoVogl, author = {Paul Figueroa Cotorogea, B.S. and Marino, Giuseppe and Vogl, Stefanie}, title = {Data driven health monitoring of Peltier modules using machine-learning-methods}, series = {SLAS Technology}, volume = {27}, journal = {SLAS Technology}, number = {5}, publisher = {Elsevier}, issn = {2472-6303}, doi = {10.1016/j.slast.2022.07.002}, pages = {319 -- 326}, abstract = {Thermal cyclers are used to perform polymerase chain reaction runs (PCR runs) and Peltier modules are the key components in these instruments. The demand for thermal cyclers has strongly increased during the COVID-19 pandemic due to the fact that they are important tools used in the research, identification, and diagnosis of the virus. Even though Peltier modules are quite durable, their failure poses a serious threat to the integrity of the instrument, which can lead to plant shutdowns and sample loss. Therefore, it is highly desirable to be able to predict the state of health of Peltier modules and thus reduce downtime. In this paper methods from three sub-categories of supervised machine learning, namely classical methods, ensemble methods and convolutional neural networks, were compared with respect to their ability to detect the state of health of Peltier modules integrated in thermal cyclers. Device-specific data from on-deck thermal cyclers (ODTC®) supplied by INHECO Industrial Heating \& Cooling GmbH (Fig 1), Martinsried, Germany were used as a database for training the models. The purpose of this study was to investigate methods for data-driven condition monitoring with the aim of integrating predictive analytics into future product platforms. The results show that information about the state of health can be extracted from operational data - most importantly current readings - and that convolutional neural networks were the best at producing a generalized model for fault classification.}, language = {en} } @techreport{WolterRaptis, type = {Working Paper}, author = {Wolter, Jennifer and Raptis, Georgios}, title = {Leitfaden zur Anbindung einer Reha-Einrichtung an die Telematikinfrastruktur}, address = {Regensburg}, doi = {10.13140/RG.2.2.32767.07842}, pages = {16}, abstract = {Der Leitfaden beschreibt wie Rehabilitationseinrichtungen an die Telematik-Infrastruktur angebunden werden sollen.}, language = {de} } @techreport{DeglmannRitthalerRaptis, author = {Deglmann, Markus and Ritthaler, Markus and Raptis, Georgios}, title = {Leitfaden f{\"u}r die Umsetzung des Reha-Konsils mittels HL7 FHIR}, doi = {10.13140/RG.2.2.25217.33120}, pages = {30}, abstract = {Im Rahmen eines Forschungsprojektes soll eine Plattform f{\"u}r die Vermittlung von Telekonsilen und die Bereitstellung einer Konsilakte an die Telematik-Infrastruktur (TI) angeschlossen werden. Um sowohl eine bestm{\"o}gliche Skalierbarkeit als auch eine optimale Integrierbarkeit in bestehende Systeme und Anwendungen zu erreichen, wurde HL7 FHIR als syntaktischer Standard f{\"u}r das Reha-Konsil festgelegt. Dieses Dokument liefert einen systematischen {\"U}berblick {\"u}ber die notwendigen Schritte und Voraussetzungen, um diesen Anschluss zu bewerkstelligen.}, language = {de} } @article{JohannsenZellnerGriesberger, author = {Johannsen, Florian and Zellner, Gregor and Griesberger, Philipp}, title = {Creating a Functional Interdependency Map for Supporting the "Act of Improvement" in Business Process Improvement Projects}, series = {International Journal of Service Science, Management, Engineering, and Technology (IJSSMET)}, volume = {13}, journal = {International Journal of Service Science, Management, Engineering, and Technology (IJSSMET)}, number = {1}, publisher = {IGI Global}, issn = {1947-959X}, doi = {10.4018/IJSSMET.295557}, pages = {23}, abstract = {Business process improvement (BPI) is of high priority for practitioners. But especially the most value-adding phase in a BPI project, namely the "act of improvement", is insufficiently supported despite the many existing methods and techniques. Until now, it is largely unclear as to what degree existing BPI techniques support each other and are interrelated with one another. Thus, the purpose of this paper is to investigate the functional interdependencies between BPI techniques to get a better understanding for the beneficial synergies between the BPI techniques and to provide a basis for purposefully combining them within projects. Based on the functional interdependencies, a graphical "Functional Interdependency Map" is developed and its usability demonstrated in an experiment. The paper is valuable for academics and practitioners alike because the impact of BPI on organizational performance is high.}, language = {en} }