3633 research outputs found
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Künstliche Intelligenz im B2B-Vertrieb
No full textDer vorliegende Artikel untersucht den aktuellen Stand der Implementierung von Künstlicher Intelligenz (KI) im B2B-Vertrieb in Deutschland. Er behandelt den Status quo, die Herausforderungen, die Aufgeschlossenheit der Unternehmen gegenüber KI, die genutzten Informationsquellen sowie die Zukunftspläne der Unternehmen in diesem Bereich
Analysis and design of a low-complexity ZVS buck-boost converter
No full textA circuit structure and operating method for achieving a soft-switching operation of a non-inverting buck-boost converter is proposed. The converter is derived from the two-switch buck-boost converter. It achieves ZVS by replacing a diode with an active switch, driven with a gate signal complementary to the main transistors’ control signals. In this way, the inductor current can be clamped and used to achieve soft-switching transitions of all transistors in the converter. The circuit achieves ZVS by design, and the ZVS range can be adjusted by adding a capacitor parallel to a diode or switch. The converter does not need a complex control or sensor circuit for proper operation. The operating principle and converter design are described in detail. The proposed converter operation is verified using simulations and experimental results
Towards generating measurable artifact models from standards in regulated domains
No full textSoftware and systems development projects in regulated domains need to provide evidence on their compliance to standards. Such standards often come as comprehensive documentation, i.e., documents, which need to be tailored to and interpreted for a particular project. Utilizing such documentations, it is desirable for companies working in regulated domains to provide tool support with regard to measurement systems that, eventually, help determine the product’s quality and to support the compliance analysis. In this paper, we present an AI-supported approach to use a standard’s documentation for generating artifact models. Such models are generated in a machine-readable format and, therefore, help companies create measurable items to be included in their metrication and measurement systems. Using selected ECSS standards from the European Space Agency as cases, we present our approach, the prompt engineering for the extraction of artifacts, and we illustrate the opportunities to generate comprehensive artifact models. Our findings show that, given sufficient information is available, the generation of artifact models is possible to a large degree with an average completeness of 99.64% and an average precision of 67.52% thus laying the foundation for building more efficient measurement systems
„Künstliche Intelligenz“ als Partner oder Konkurrent in der Wirtschaftswelt? : evidenzbasierte Einsichten
No full textKI-Technologie könnte eine erhebliche Steigerung der Produktivität ermöglichen, indem sie repetitive Aufgaben automatisiert. Dies gilt nicht nur für industrielle Prozesse, sondern erstmals zugleich für standardisierte Computer- und Büroarbeiten. Automatisierung durch KI kann zu einer effizienteren Ressourcennutzung führen und menschliche Arbeitskräfte entlasten. Des Weiteren kann KI dazu beitragen, Innovationen zu beschleunigen, indem sie niedrigere Transaktionskosten für Ideen und Forschung ermöglicht. Durch automatisierte Analysen großer Datensatze können Muster und Trends schneller erkannt werden, was zu einer beschleunigten Innovationsentwicklung führen kann. Insbesondere in Entwicklungsländern bietet KI die Möglichkeit, die Wettbewerbsfähigkeit zu stärken. Durch den Einsatz von KI können Unternehmen schneller an die technologische Grenze vorrücken und qualitativ hochwertige Produkte und Dienstleistungen liefern, was zu einem besseren Marktzugang führen dürfte. Im Gesundheitswesen zeigt die KI-Technologie bereits heute die Potentiale, insbesondere bei der Bewältigung komplexer, regelbasierter Fragen, unter anderem in der Diagnoseunterstützung oder personalisierten Medizin (z. B. Auswertung von Röntgenbildern). KI-Systeme könnten zudem helfen, evidenzbasierte wissenschaftliche Entscheidungen zu treffen. Es ist wichtig, zu betonen, dass die effektive Nutzung von KI von ethischen Überlegungen und einer sorgfältigen Integration in bestehende Systeme ebenso abhängt, um sicherzustellen, dass die Chancen ausgewogen genutzt werden und die Gesellschaft mögliche Risiken mittragen kann
Handbuch behavioral finance : mit Wissens-Check
No full textDie Autoren schlagen zunächst den Bogen von der neoklassischen Sicht der Finanzmärkte zur Behavioral Finance. Anschließend werden spekulative Blasen als Anzeichen für begrenzte Rationalität ausführlich vorgestellt. Die Anlageentscheidungen an Wertpapiermärkten werden entsprechend ihrer Risiko-/Renditeschädlichkeit eingeordnet. Abschließend werden Beispiele aus dem Wealth Management und Corporate Governance diskutiert sowie ein Blick auf aktuelle Entwicklungen der Neuro-Finance und Emotional Finance geworfen.
Zur Neuauflage: Das Grundkonzept des Buches bleibt unverändert. Es richtet sich nach wie vor sowohl an Studierende als auch an Interessierte aus der Praxis. Die Autoren haben aktuelle Informationen hinzugefügt und die Lesbarkeit weiter erhöht. Dies gilt insbesondere für Kapitel 5 zu historischen und jüngsten Spekulationsblasen und für Kapitel 13 zu den neuesten Entwicklungen.
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A single-phase soft-switching buck-boost inverter
No full textThis article presents a single-phase, single-stage unidirectional inverter derived from a non-inverting buck-boost dc/dc converter combined with a full bridge unfolder circuit. Three different operating modes to achieve zero-voltage switching (ZVS) are discussed and evaluated against each other, demonstrating the feasibility of a soft-switching operation for this converter. The circuit structure and operating principles are discussed in detail. A modular 400 W prototype utilizing GaN devices switching at 500 kHz was built to verify the design, using an input dc voltage range of 100 V to 400 V and delivering an ac output voltage of 230 V at 50 Hz
Human-centered intelligent systems
No full textHuman-centered intelligent systems (HCIS), which are at the forefront of the AI and HCI fields, are dedicated to enhancing human experiences and interactions with technology. HCIS are designed to be intuitive, responsive, and adaptable to human needs and preferences, aiming to empower users and foster positive interactions. By utilizing AI techniques, such as machine learning, natural language processing, and computer vision, HCIS aims to make technology more accessible and beneficial across various industries and domains
Künstliche Intelligenz und Produktionssteuerung : Erklärbare KI-Ansätze zur Rüstzeitoptimierung in der CNC-Werkzeugherstellung
Get PDFLange Rüstzeiten beeinträchtigen die CNC-Werkzeugherstellung durch reduzierte Flexibilität, niedrige Maschinenauslastung und gesteigerten Planungsaufwand, was Lieferverzögerungen und Produktionsengpässe begünstigt. Ökonomisch binden sie Kapital, erhöhen die Produktionskosten, limitieren die Auftragsflexibilität, treiben Lagerkosten hoch und lassen Marktchancen ungenutzt. Erklärbare KI-Modelle können durch die Analyse von Prozessdaten Muster in langen Rüstzeiten identifizieren und Anhaltspunkte für Verbesserungen transparent aufzeigen und somit die Effizienz steigern und Kosten reduzieren.Long set-up times impair CNC tool production due to reduced flexibility, lower machine utilization and increased planning effort, which promotes delivery delays and production bottlenecks. Economically, they tie up capital, increase production costs, limit order flexibility, drive up storage costs and leave market opportunities untapped. By analyzing process data, explainable AI models can identify patterns in long set-up times and transparently highlight points for improvement, thereby increasing efficiency and reducing costs
Elicitation and documentation of explainability requirements in a medical information systems context
Get PDFOngoing research indicates the importance of explainabilty as it provides the rationale for results and decision of information systems to users. Explainability must be considered and implemented in software at the early stage in requirements engineering (RE). For the completeness of software requirements specifications, the elicitation and documentation of explainability requirements is essential. Although there are existing studies on explainability in RE, it is not clear yet, how to elicit and document such requirements in detail. Current software development projects miss a clear guidance, how explainability requirements should be specified. Through a review of literature, existing works for elicitation and documentation of explainability requirements are analyzed. Based on these findings, a template and additional guiding for capturing explainability requirements is developed. Following a design science approach, the template is applied and improved in a research project of the medical information domain. The overview of related work presents the current state of research for the documentation of explainability requirements. The template and additional guiding can be used in other information system context for RE elicitation and documentation. The application of the template and the elicitation guidance in a real world case show the refinement and an improved completeness of existing requirements
Characterization and modeling of additively manufactured Ti-6Al-4V alloy with modified surfaces for medical applications
Get PDFIn the field of biomedical implants, additively manufactured titanium alloys, particularly Ti-6Al-4V, hold significant potential due to their biocompatibility and mechanical properties. This study focuses on the characterization and modeling of additively manufactured Ti-6Al-4V alloy for dental and maxillofacial implants, emphasizing fatigue behavior, surface modification, and their combined effects on cyto- and osseocompatibility. Experimental methods, including tensile, compression, and fatigue testing, were applied alongside in silico simulations to assess the long-term mechanical performance of the material. Surface properties were further modified through sandblasting and coating techniques to enhance cell adhesion and proliferation. By using in-vitro methods, the cytocompatibility of the coatings and materials was examined followed by in-vivo tests to determine osseocompatibility. Results demonstrated that appropriate surface roughness and modifications are essential in optimizing osseointegration, while the layer-by-layer additive manufacturing process influenced the fatigue life and stability. These findings contribute to the development of patient-specific implants, optimizing both mechanical integrity and biological integration for enhanced clinical outcomes. This work summarizes the investigations on additively manufactured Ti-6Al-4V alloy of the research unit 5250 “Mechanism-based characterization and modeling of permanent and bioresorbable implants with tailored functionality based on innovative in vivo, in vitro and in silico methods” funded by the Germany Research Foundation (DFG)