TY - JOUR A1 - Paul Figueroa Cotorogea, B.S. A1 - Marino, Giuseppe A1 - Vogl, Stefanie T1 - Data driven health monitoring of Peltier modules using machine-learning-methods JF - SLAS Technology N2 - 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. KW - Supervised machine learning KW - Predictive maintenance KW - Condition monitoring KW - Polymerase-chain-reaction runs KW - Peltier modules Y1 - 2022 U6 - https://doi.org/10.1016/j.slast.2022.07.002 SN - 2472-6303 VL - 27 IS - 5 SP - 319 EP - 326 PB - Elsevier ER - TY - JOUR A1 - Winkler, Fabian A1 - Westner, Markus T1 - A Systematic Literature Review of DevOps Success Factors and Adoption Models JF - SOICT '23: Proceedings of the 12th International Symposium on Information and Communication Technology. Ho Chi Minh City, Vietnam, 7-8 December 2023 N2 - This paper investigates DevOps adoption, emphasizing its cultural dimensions in the context of the information systems domain. Utilizing a robust systematic literature review methodology, we discerned nine salient success factors and delineated three stage models instrumental for a smooth transition into DevOps-centric projects. Despite the increasing breadth of research in the DevOps area, the absence of a consolidated definition remains a challenge, underscoring the importance of a unified interpretative framework. This research notably extends the current body of knowledge by focusing on the cultural dynamics of DevOps adoption. As a result, it offers a refined lens through which both practitioners involved in the adoption process and academic researchers can comprehend the nuances and implications of cultural shifts in the evolving landscape of DevOps within information systems. Y1 - 2023 SN - 979-8-4007-0891-6 U6 - https://doi.org/10.1145/3628797.3628883 SP - 525 EP - 532 PB - ACM ER - TY - CHAP A1 - Gogeißl, Martin A1 - Safi, Hila A1 - Mauerer, Wolfgang T1 - Quantum Data Encoding Patterns and their Consequences T2 - Q-Data '24: Proceedings of the 1st Workshop on Quantum Computing and Quantum-Inspired Technology for Data-Intensive Systems and Applications, June 9 - 15, 2024, Santiago AA Chile N2 - The use of quantum processing units (QPUs) promises speed-ups for solving computational problems, in particular for discrete optimisation. While a few groundbreaking algorithmic approaches are known that can provably outperform classical computers, we observe a scarcity of programming abstractions for constructing efficient quantum algorithms. A good fraction of the literature that addresses solving concrete problems related to database management concentrates on casting them as quadratic unconstrained binary optimisation problems (QUBOs), which can then, among others, be processed on gate-based machines (using the quantum approximate optimisation algorithm), or quantum annealers. A critical aspect that affects efficiency and scalability of either of these approaches is how classical data are loaded into qubits, respectively how problems are encoded into QUBO representation. The effectiveness of encodings is known to be of crucial importance for quantum computers, especially since the amount of available qubits is strongly limited in the era of noisy, intermediate-size quantum computers. In this paper, we present three encoding patterns, discuss their impact on scalability, and their ease of use. We consider the recreational (yet computationally challenging) Sudoku problem and its reduction to graph colouring as an illustrative example to discuss their individual benefits and disadvantages. Our aim is enable database researchers to choose an appropriate encoding scheme for their purpose without having to acquire in-depth knowledge on quantum peculiarities, thus easing the path towards applying quantum acceleration on data management systems. Y1 - 2024 SN - 979-8-4007-0553-3 U6 - https://doi.org/10.1145/3665225.3665446 SP - 27 EP - 37 PB - ACM ER - TY - INPR A1 - Jung, Matthias A1 - Krumke, Sven O. A1 - Schroth, Christof A1 - Lobe, Elisabeth A1 - Mauerer, Wolfgang T1 - QCEDA: Using Quantum Computers for EDA N2 - The field of Electronic Design Automation (EDA) is crucial for microelectronics, but the increasing complexity of Integrated Circuits (ICs) poses challenges for conventional EDA: Corresponding problems are often NP-hard and are therefore in general solved by heuristics, not guaranteeing optimal solutions. Quantum computers may offer better solutions due to their potential for optimization through entanglement, superposition, and interference. Most of the works in the area of EDA and quantum computers focus on how to use EDA for building quantum circuits. However, almost no research focuses on exploiting quantum computers for solving EDA problems. Therefore, this paper investigates the feasibility and potential of quantum computing for a typical EDA optimization problem broken down to the Min-k-Union problem. The problem is mathematically transformed into a Quadratic Unconstrained Binary Optimization (QUBO) problem, which was successfully solved on an IBM quantum computer and a D-Wave quantum annealer. Y1 - 2024 ER - TY - CHAP A1 - Mauerer, Wolfgang ED - Exman, Iaakov ED - Perez-Castillo, Ricardo ED - Piattini, Mario ED - Felderer, Michael T1 - Superoperators for Quantum Software Engineering T2 - Quantum Software: Aspects of Theory and System Design N2 - As implementations of quantum computers grow in size and maturity, the question of how to program this new class of machines is attracting increasing attention in the software engineering domain. Yet, many questions from how to design expressible quantum languages augmented with formal semantics via implementing appropriate optimizing compilers to abstracting details of machine properties in software systems remain challenging. Performing research at this intersection of quantum computing and software engineering requires sufficient knowledge of the physical processes underlying quantum computations, and how to model these. In this chapter, we review a superoperator-based approach to quantum dynamics, as it can provide means that are sufficiently abstract, yet concrete enough to be useful in quantum software and systems engineering, and outline how it is used in several important applications in the field. KW - quantum computing KW - quantum software engineering KW - software development KW - software engineering Y1 - 2024 U6 - https://doi.org/10.1007/978-3-031-64136-7_3 SN - 978-3-031-64136-7 PB - Springer Nature ER - TY - CHAP A1 - Müller, Stefan A1 - Danner, Christian A1 - Breidbach, Jörg A1 - Seidl, Markus A1 - Hußlein, Thomas A1 - Lauf, Wolfgang T1 - Stochastic Modeling of Throughput Times of Supplier Parts for an Automotive Plant T2 - Angewandte Forschung in der Wirtschaftsinformatik - Prozesse, Technologie, Anwendungen, Systeme und Management 2014: Tagungsband zur 27. AKWI-Jahrestagung vom 07. bis zum 10.09.2014 an der Oberbayerischen Technischen Hochschule Regensburg N2 - For modern production industries optimized supply of parts is a critical success factor. Especially in the automotive industry, the reliable supply of painted bodies for the fi nal assembly is essential for OEMs considering just in time or just in sequence processes. Additionally one central cost target is the avoidance of resorting for JIT/JIS processes. An essential workfl ow analysis is therefore the basis for making strategic or operational decisions such as the adjustment of the plant structure or increasing the number of products and variants manufactured simultaneously. In order to support strategic planning using simulation and planning systems, the modeling of the production process is required. This is particularly important for scheduling as no real manufacturing data is available and therefore prognosis based on the model are essential. Due to the short time and the limited human resources for a detailed modeling, it is essential to create a robust model with good accuracy and reduced complexity Y1 - 2014 SN - 978-3-936527-38-4 U6 - https://doi.org/10.15771/978-3-936527-38-4 SP - 35 EP - 43 S PB - News & Media ER - TY - CHAP A1 - Falter, Sandro A1 - Brunkh, Gerald A1 - Wess, Max A1 - Fischer, Sebastian T1 - Automated Vulnerability Scanner for the Cyber Resilience Act T2 - CLOUD COMPUTING 2024 : The Fifteenth International Conference on Cloud Computing, GRIDs, and Virtualization, 15, 2024, Venice N2 - This paper explores the mitigation of the compliance burdens faced by manufacturers of digital products under the Cyber Resilience Act. After providing a concise overview of the Cyber Resilience Act and pinpointing pivotal areas where tool-based interventions could reduce the regulatory strain on manufacturers, we introduce two prototypes: a digital checklist for product classification and a prototype to streamline the analysis and monitoring of the security state of software along the software development life cycle. As the second prototype is based on Static Application Software Testing and Software Component Analysis, we validate the approach through benchmark tests. While Static Application Software Testing tools show promise in identifying vulnerabilities, additional tests are needed for full compliance with the Cyber Resilience Act. In general, the prototypes serve as an entry point for identifying possible automation potential to alleviate the compliance burdens of manufacturers. KW - cra KW - cyber resilience act KW - vulnerability scanner KW - reporting KW - iot KW - cloud Y1 - 2024 UR - https://www.thinkmind.org/library/CLOUD_COMPUTING/CLOUD_COMPUTING_2024/cloud_computing_2024_1_40_28004.html SN - 978-1-68558-156-5 SP - 13 EP - 18 PB - IARIA ER - TY - CHAP A1 - Buchmann, Thomas A1 - Peinl, René A1 - Schwägerl, Felix T1 - White-box LLM-supported Low-code Engineering: A Vision and First Insights T2 - Proceedings of the ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems N2 - Low-code development (LCD) platforms promise to empower citizen developers to define core domain models and rules for business applications. However, as domain rules grow complex, LCD platforms may fail to do so effectively. Generative AI, driven by large language models (LLMs), offers source code generation from natural language but suffers from its non-deterministic black-box nature and limited explainability. Therefore, rather than having LLMs generate entire applications from single prompts, we advocate for a white-box approach allowing citizen developers to specify domain models semi-formally, attaching constraints and operations as natural language annotations. These annotations are fed incrementally into an LLM contextualized with the generated application stub. This results in deterministic and better explainable generation of static application components, while offering citizen developers an appropriate level of abstraction. We report on a case study in manufacturing execution systems, where the implementation of the approach provides first insights. KW - Model-driven engineering KW - large language models KW - low-code KW - semiformal KW - artificial intelligence Y1 - 2024 U6 - https://doi.org/10.1145/3652620.368780 SP - 556 EP - 560 PB - ACM CY - New York, NY, USA ER - TY - INPR A1 - Pagel, Johannes A1 - Vogl, Stefanie A1 - Israel, Laura T1 - Analyzing the Impact of Redaction on Document Classification Performance of Deep CNN Models N2 - Many companies are facing growing data archives leading to an increasing focus on the automated classification of documents in corporate processes. Due to data protection guidelines, development with clear data is often difficult. One way to overcome this difficulty is to desensitize documents using document redaction. The following study, therefore, examines the impact of redaction on the document classification performance of a deep CNN model by analyzing how the classifica- tion performance deteriorates when the model is trained on unredacted documents and evaluated on redacted data (unredacted model) or trained on redacted data and applied to unredacted documents (redacted model). For the former condition, a loss in accuracy of 2.56%P was found and a loss of 2.08%P for the latter. We were also able to show that the loss in performance differed greatly between document classes and was influenced by their proportion of redacted area (unredacted model: r=0.31; redacted model: r=0.87). For the model trained with redacted and evaluated on unredacted data, we also determined that the decrease in classification accu- racy was affected by the intra-class variability of the redacted area (r=0.74). From these results, recommendations for dealing with redacted data in document classification systems are derived. Y1 - 2024 U6 - https://doi.org/10.31219/osf.io/sntb3 PB - OSFPreprints ER - TY - CHAP A1 - Heinz, Florian T1 - Robust Interpolation of Arbitrary-Dimensional Moving Regions in Databases T2 - Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, October 29th, 2024, Atlanta, USA N2 - Moving Objects Databases are designed to store, process and efficiently search for database objects with attributes that can change over time. Examples are moving points, that change position over time, or, as a more complex data type, moving regions that can also change shape. For moving regions to be practically usable, methods for creating those objects have to be provided. The prevailing method for 2-dimensional moving regions is to create an interpolation of two static regions. Since this is a non-trivial task, this is referred to as the "Region Interpolation Problem", which still can not be considered as solved, since several unsolved questions remain. This work strives to give an overview on the Region Interpolation Problem, discuss an extension to 3d and higher dimensions and to present and discuss solutions to address some of the remaining obstacles. Y1 - 2024 U6 - https://doi.org/10.1145/3681769.3698579 SP - 13 EP - 21 PB - ACM CY - New York, NY, USA ER - TY - CHAP A1 - Heinz, Florian T1 - Creating Moving Regions from Satellite Scan Data T2 - SIGSPATIAL '24: Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, October 29 - November 1, 2024, Atlanta, GA, USA N2 - Moving objects databases are specialized on storing and processing objects with spatial attributes that change over time. An important class of objects are moving regions that can change shape and position over time. Currently, the prevailing method for constructing moving regions is to interpolate them from snapshots. In this paper, an alternative method is proposed, that is better suitable for certain kinds of data as, for example, satellite scans of the earth surface. For instance, the NASA provides datasets with active fire data in near real-time from the Visible Infrared Imaging Radiometer Suite (VIIRS) sensor, attached to satellites as the Suomi NPP and NOAA-20. These satellites orbit earth about 14 times a day and provide full global coverage twice a day. Using these satellites, datasets are compiled that provide locations of active fires on earth as lists of positions and timestamps. This paper describes an alternative, better suitable method for creating moving regions from these lists, which can then be imported into and processed by moving objects databases. KW - spatial data KW - spatiotemporal data KW - moving objects KW - remote sensing Y1 - 2024 SN - 979-8-4007-1107-7 U6 - https://doi.org/10.1145/3678717.3691214 SP - 641 EP - 644 PB - ACM CY - New York, NY, USA ER - TY - CHAP A1 - Schlager, Reinhold A1 - Schildgen, Johannes T1 - A Query-Rewriting-based Implementation for Temporal Data Management T2 - LWDA’24: Lernen, Wissen, Daten, Analysen. September 23–25, 2024, Würzburg, Germany N2 - Temporal data management is used to query historical data, identify trends and changes, and make forecasts for the future. This paper provides a query-rewriting approach to implement temporal data management in the data-warehouse system Exasol by using so-called preprocessor scripts. Preprocessor scripts allow for executing custom Lua code and modifying SQL commands. Our approach does not need to undertake additional manual effort by the user. History tables and associated views are created in the background. Data records are automatically archived if they are updated or deleted, and the SELECT command is extended with the AS OF SYSTEM TIME clause as proposed by the SQL Standard. KW - Temporal data management KW - Data warehouse KW - Exasol KW - Database Y1 - 2024 UR - https://www.informatik.uni-wuerzburg.de/fileadmin/1003-lwda24/LWDA_Paper/DB_LWDA_CRC_164.pdf ER - TY - CHAP A1 - Hassmann, Tobias A1 - Westner, Markus T1 - IS executives and sustainability BT - A literature review T2 - 26th International Conference on Business Informatics (CBI), 09-13 September 2024, Vienna, Austria N2 - The pressing global sustainability challenges, encapsulated in the United Nations’ Sustainable Development Goals (SDGs), require profound transformations across multiple levels. It is imperative for the Information Systems (IS) discipline to engage in addressing these challenges. This paper aims to contribute to this imperative through a scoping literature review, examining factors that enable IS executives to drive sustainability outcomes within organizations, utilizing the Input-Mediator-Outcome (IMO) framework. By analyzing 31 articles from important IS journals and conferences between 2008 and 2024, this review identifies key input factors for sustainability outcomes, such as individual IS executive inputs, the role of the Top Management Team (TMT) setting and organizational contexts, as well as external influences. In addition, it explores how team-specific processes can augment sustainability efforts. The paper concludes by proposing future research questions to address underrepresented SDGs, investigate external impact factors more thoroughly, and emphasize the role of individual IS executive inputs. These insights aspire to advance the understanding of IS executives’ potential to influence sustainability in organizational settings. KW - IS executives KW - chief information officer KW - chief digital officer KW - sustainability KW - literature review Y1 - 2024 SN - 979-8-3315-2909-3 U6 - https://doi.org/10.1109/CBI62504.2024.00017 SN - 2378-1971 PB - IEEE ER - TY - JOUR A1 - Herrmann, Frank A1 - Riedl, Nadine A1 - Janoschek, Stefan T1 - Konzeptionierung und Implementierung einer standardisierten RPA-Schnittstelle für eine Analytics-On-Demand-Self-Service-Lösung zur Bereitstellung von einkaufsbezogenen Daten in der Krones AG JF - Anwendungen und Konzepte der Wirtschaftsinformatik N2 - Hohe Bearbeitungs- und Antwortzeiten von Tickets, die diverse Aufgaben aus dem Bereich Analytics inkludieren, führten Corporate Procurement (CP) Processes and Systems zur Konzeptionierung und Implementierung einer standardisierten RPA-Schnittstelle, um einen Analytics-On-Demand-Self-Service zur Bereitstellung von einkaufsbezogenen Daten zu realisieren. Dafür wurde zunächst ein Anforderungskatalog erarbeitet, der als Basis für die Konzeptionierung und Implementierung aller zur Prüfung der Funktionsfähigkeit der RPA-Schnittstelle erforderlichen Komponenten diente. Als Proof-of-Concept fungieren die Analytics-Use-Cases der Orderbuchabfrage und Abfrage von Einkaufsinfosätzen mit Konditionen. Die durchgeführte Evaluation bescheinigt aus technischer und prozessualer Sicht den Erfolg des Projekts, wobei im Vordergrund die zukünftig nach Einführung des Analytics-On-Demand-Self Service gewonnen zeitlichen Kapazitäten und verringerten Wartezeiten bei den Mitarbeitenden des Einkaufs der Krones AG stehen. KW - Robotic Process Automation KW - Standardisierung KW - Analytics-On-Demand-Self-Service Y1 - 2024 U6 - https://doi.org/10.26034/lu.akwi.2024.5510 SN - 2296-4592 IS - 19 SP - 51 EP - 63 PB - AKWI ER -