Abstracts on Radio Direction Finding (1899 - 1995)

The files on this record represent the various databases that originally composed the CD-ROM issue of "Abstracts on Radio Direction Finding" database, which is now part of the Dudley Knox Library's Abstracts and Selected Full Text Documents on Radio Direction Finding (1899 - 1995) Collection. (See Calhoun record https://calhoun.nps.edu/handle/10945/57364 for further information on this collection and the bibliography). Due to issues of technological obsolescence preventing current and future audiences from accessing the bibliography, DKL exported and converted into the three files on this record the various databases contained in the CD-ROM. The contents of these files are: 1) RDFA_CompleteBibliography_xls.zip [RDFA_CompleteBibliography.xls: Metadata for the complete bibliography, in Excel 97-2003 Workbook format; RDFA_Glossary.xls: Glossary of terms, in Excel 97-2003 Workbookformat; RDFA_Biographies.xls: Biographies of leading figures, in Excel 97-2003 Workbook format]; 2) RDFA_CompleteBibliography_csv.zip [RDFA_CompleteBibliography.TXT: Metadata for the complete bibliography, in CSV format; RDFA_Glossary.TXT: Glossary of terms, in CSV format; RDFA_Biographies.TXT: Biographies of leading figures, in CSV format]; 3) RDFA_CompleteBibliography.pdf: A human readable display of the bibliographic data, as a means of double-checking any possible deviations due to conversion

Design and evaluation of safety-critical applications based on inter-vehicle communication

Inter-vehicle communication has a potential to improve road traffic safety and efficiency. Technical feasibility of communication between vehicles has been extensively studied, but due to the scarcity of application-level research, communication\u27s impact on the road traffic is still unclear. This thesis addresses this uncertainty by designing and evaluating two fail-safe applications, namely, Rear-End Collision Avoidance and Virtual Traffic Lights

Discrete Event Simulations

Considered by many authors as a technique for modelling stochastic, dynamic and discretely evolving systems, this technique has gained widespread acceptance among the practitioners who want to represent and improve complex systems. Since DES is a technique applied in incredibly different areas, this book reflects many different points of view about DES, thus, all authors describe how it is understood and applied within their context of work, providing an extensive understanding of what DES is. It can be said that the name of the book itself reflects the plurality that these points of view represent. The book embraces a number of topics covering theory, methods and applications to a wide range of sectors and problem areas that have been categorised into five groups. As well as the previously explained variety of points of view concerning DES, there is one additional thing to remark about this book: its richness when talking about actual data or actual data based analysis. When most academic areas are lacking application cases, roughly the half part of the chapters included in this book deal with actual problems or at least are based on actual data. Thus, the editor firmly believes that this book will be interesting for both beginners and practitioners in the area of DES

On the Combination of Game-Theoretic Learning and Multi Model Adaptive Filters

This paper casts coordination of a team of robots within the framework of game theoretic learning algorithms. In particular a novel variant of fictitious play is proposed, by considering multi-model adaptive filters as a method to estimate other players’ strategies. The proposed algorithm can be used as a coordination mechanism between players when they should take decisions under uncertainty. Each player chooses an action after taking into account the actions of the other players and also the uncertainty. Uncertainty can occur either in terms of noisy observations or various types of other players. In addition, in contrast to other game-theoretic and heuristic algorithms for distributed optimisation, it is not necessary to find the optimal parameters a priori. Various parameter values can be used initially as inputs to different models. Therefore, the resulting decisions will be aggregate results of all the parameter values. Simulations are used to test the performance of the proposed methodology against other game-theoretic learning algorithms.</p

Neues Konzept zur skalierbaren, explorativen Analyse großer Zeitreihendaten mit Anwendung auf umfangreiche Stromnetz-Messdaten

Diese Arbeit beschäftigt sich mit der Entwicklung und Anwendung eines neuen Konzepts zur skalierbaren explorativen Analyse großer Zeitreihendaten. Hierzu werden zahlreiche datenintensive Methoden aus dem Bereich des Data-Mining und der Zeitreihenanalyse hinsichtlich ihrer Skalierbarkeit mit wachsendem Datenvolumen untersucht und neue Verfahren und Datenrepräsentationen vorgestellt, die eine Exploration sehr großer Zeitreihendaten erlauben, die mit herkömmlichen Methoden nicht effizient auswertbar sind und unter dem Begriff Big Data eingeordnet werden können. Methoden zur Verwaltung und Visualisierung großer multivariater Zeitreihen werden mit Methoden zur Detektion seltener und häufiger Muster – sog. Discords und Motifs – kombiniert und zu einem leistungsfähigen Explorationssystem namens ViAT (von engl. Visual Analysis of Time series) zusammengefasst. Um auch Analysen von Zeitreihendaten durchführen zu können, deren Datenvolumen hunderte von Terabyte und mehr umfasst, wurde eine datenparallele verteilte Verarbeitung auf Basis von Apache Hadoop entwickelt. Sie erlaubt die Ableitung datenreduzierter Metadaten, welche statistische Eigenschaften und neuartige Strukturbeschreibungen der Zeitreihen enthalten. Auf dieser Basis sind neue inhaltsbasierte Anfragen und Auswertungen sowie Suchen nach bekannten und zuvor unbekannten Mustern in den Daten möglich. Das Design der entwickelten neuen Methoden und deren Integration zu einem Gesamtsystem namens FraScaTi (von engl. Framework for Scalable management and analysis of Time series data) wird vorgestellt. Das System wird evaluiert und im Anwendungsfeld der Stromnetzanalyse erprobt, welches von der Skalierbarkeit und den neuartigen Analysemöglichkeiten profitiert. Hierzu wird eine explorative Analyse hochfrequenter Stromnetz-Messdaten durchgeführt, deren Ergebnisse im Kontext des Anwendungsbereichs präsentiert und diskutiert werden

Social informatics

5th International Conference, SocInfo 2013, Kyoto, Japan, November 25-27, 2013, Proceedings</p

A decade of decisions for vital and health statistics

Earlier editions are PHS PUB NO. 1594."Washington, D.C., July 15-17, 1991."Also available via the World Wide Web as an Acrobat .pdf file (accessed 2003 June 18).Includes bibliographical references