Conferator is a novel social conference system that provides the management of social interactions and context information in ubiquitous and social environments. Using RFID and social networking technology, Conferator provides the means for effective management of personal contacts and according conference information before, during and after a conference. We describe the system in detail, before we analyze and discuss results of a typical application of the Conferator system.Zusammenfassung Als ein neuartiges soziales Konferenzmanagementsystem ermöglicht der Conferator die einfache Verwaltung sozialer Beziehungen und Interaktionen sowie das Management von konferenzspezifischen Informationen sowohl vor, während als auch nach einer Konferenz. Basierend auf RFID Technik gekoppelt mit sozialen Netzen bietet der Conferator die Möglichkeit, einfach und effektiv persönliche Kontakte und Informationen wie etwa den Konferenzplan zu verwalten. Wir beschreiben das System und präsentieren Analyseergebnisse in einem typischen Konferenz-Anwendungsszenario.
Abstract. We present adapted inductive methods for learning similarities, parameter weights and diagnostic profiles for case-based reasoning. All of these methods can be refined incrementally by applying different types of background knowledge. Diagnostic profiles are used for extending the conventional CBR to solve cases with multiple faults. The context of our work is to supplement a medical documentation and consultation system by CBR techniques, and we present an evaluation with a real-world case base.
To monitor a binary process, exponentially weighted moving average (EWMA) control charts in different variations are proposed. The average run length performance of the EWMA approach both with standard and with skewnesscorrected 3-r control limits is investigated and design recommendations are derived. The proposed EWMA control charts are applied to medical diagnosis data taken from the diagnostic expert system SONOCONSULT in order to provide a semi-automatic component for monitoring the documentation behavior of different examiners.
To facilitate user-centered software engineering, developers need an easy to grasp understanding of the user. The use of personas helps to keep specific user needs in mind during the design process. Technology acceptance is of particular interest for the design of innovative applications previously unknown to potential users. Therefore, our research focuses on defining a typology of relevant user characteristics with respect to technology acceptance and transferring those findings to the description of personas. The presented work focuses on the statistical relationship between technology acceptance and personality. We apply subgroup discovery as a statistical tool. Based on the statistically derived subgroups and patterns we define the mentioned personas to help developers to understand different forms of technology acceptance. By integrating the specifically defined personas into existing methods in the field of software engineering the feasibility of the presented approach is demonstrated.
In der Prozessindustrie fallen eine Vielzahl unterschiedlicher, heterogener Daten an, und das Gesamtsystem kann aufgrund seiner Komplexität und Dynamik nicht komplett formal beschrieben werden. Daher untersuchen die Projekte Sidap und FEE die Eignung von Big- Data- und Smart-Data-Ansätzen in dieser Domäne. Obwohl beide Projekte unterschiedliche Ansätze verfolgen, ergeben sich gemeinsame Herausforderungen. Dieser Beitrag fasst diese zusammen und zeigt Lösungsansätze auf, beispielsweise durch die Schaffung eines gemeinsamen Datenverständnisses oder die Anreicherung der Daten mit Zusatzinformation.
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