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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.

Specification of difficult to test radar performance

Yu, Chen-Kuo. January 1990 (has links) (PDF)
Thesis (M.S. in Systems Engineering (Electronic Warfare))--Naval Postgraduate School, September 1990. / Thesis Advisor(s): Lee, Hung-Mou. Second Reader: Sternberg, Joseph. "September 1990." Description based on title screen as viewed on December 15, 2009. DTIC Identifier(s): Radar Equipment, Antiaircraft Defense Systems, Computerized Simulation, Performance (Engineering). Author(s) subject terms: Operational Requirement, Specification of Radar Performance. Includes bibliographical references (p. 73). Also available in print.

Performance measurement system modeling using regression and neural networks /

Joshi, Atul. January 2005 (has links)
Thesis (M.S.)--State University of New York at Binghamton, Industrial and Systems Engineering Dept., 2005. / Includes bibliographical references.

Strategic Positioning and firm performance /

Tripathy, Arindam, January 2006 (has links)
Thesis (Ph. D.)--University of Texas at Dallas, 2006. / Includes vita. Includes bibliographical references (leaves 84-93).

Performance analysis of automated attack graph generation software

Cullum, James J. January 2006 (has links) (PDF)
Thesis (M.S. in Computer Science)--Naval Postgraduate School, December 2006. / Thesis Advisor(s): Cynthia Irvine, Timothy Levin. "December 2006." Includes bibliographical references (p. 137- 138). Also available in print.

Arousal and self awareness models of social facilitation effects associated with audience presence during performance of a motor task /

Gordon, M.I. Unknown Date (has links) (PDF)
Thesis (B.A.(Hons.)) -- University of Adelaide, 1981.

The French flute tradition

Stoltz, Liesl January 2003 (has links)
Bibliography: leaves 131-138. / The French flute tradition is remarkable and is admired by flautists, teachers and students of the flute all over the world. The dissertation researched the development of this tradition from the pre-Baroque period through to the modern era and tried to determine the underlying factors that stimulated its development specifically in France. The first key was added to the flute in France and with this the Hotteteres created the blueprint for the modern flute of today. During the Classical period the conservative French retarded the development of the instrument and the repertoire for the flute by initially rejecting additional keys.

A structured teaching approach to extended flute techniques at pre-tertiary level

Pietersen, Inge Kim January 2010 (has links)
Includes abstract. / Includes bibliographical references (p. 204-206). / This research explores extended flute techniques and arrives at a suggested structured teaching approach to these techniques at pre-tertiary level. The views of extended flute technique specialists have been collected to help set up lesson plans and resource lists for the contemporary teacher.

Fouille d'informations multimédia partagées orienté événements / Event-based social media data mining

Liu, Xueliang 03 December 2012 (has links)
La notion d’"évènement" est une des clés majeures permettant de se remémorer des souvenirs. Avec le développement du Web 2.0, beaucoup de sites de partage d’information au sujet d’évènements font leur apparition sur internet, et une grande variété d’évènements sont programmés et décrits par plusieurs services et réseaux sociaux en ligne. L’étude des relations entre medias sociaux et évènements pourrait tirer parti des connaissances liées au domaine des évènements et des ontologies afin de formuler les problèmes soulevés ; l’exploitation des caractéristiques multimodales peut aussi permettre d’explorer les caractéristiques en profondeur. Dans cette thèse, nous étudions le problème de l’extraction de connaissances quant aux relations entre évènements et données des réseaux sociaux. Trois problèmes sont au centre de notre analyse. Le premier problème porte sur l’enrichissement visuel des évènements : notre recherche vise à comprendre comment utiliser les médias sociaux pour illustrer des évènements. Le deuxième problème, la découverte d’évènement. Nous proposons d’utiliser la détection de niveaux et des méthodes de détection de sujet pour découvrir des évènements grâce aux annotations spatiales et temporelles présentes dans les médias sociaux. Le troisième problème concerne la modélisation visuelle des évènements, dont la problématique est de rassembler de façon automatique des échantillons d’apprentissage, afin de mettre en œuvre une représentation visuelle des évènements. La solution proposée consiste à rassembler des exemples à la fois positifs et négatifs ; de même, elle est dérivée de l’analyse du contexte des médias sociaux. / The exponential growth of social media data requires scalable, effective and robust technologies to manage and index them. Event is one of the most important cues to recall people’s past memory. With the development of Web 2.0, many event-based information sharing sites are appearing online, and a wide variety of events are scheduled and described by several social online services. The study of the relation between social media and events could leverage the event domain knowledge and ontologies to formulate the raised problems, and it could also exploit multimodal features to mine the patterns deeply, hence gain better performance compared with some other methods. In this thesis, we study the problem of mining relations between events and social media data. There are mainly three problems that are well investigated. The first problem is event enrichment, in which we investigate how to leverage the social media to events illustration. The second problem is event discovery, which focuses on discovering event patterns from social media stream. We propose burst detection and topic model based methods to find events from the spatial and temporal labeled social media. The third problem is visual event modeling, which studies the problem of automatically collecting training samples to model the visualization of events. The solution of collecting both of the positive and negative samples is also derived from the analysis of social media context. Thanks to the approaches proposed in this thesis, the intrinsic relationship between social media and events are deeply investigated, which provides a way to explore and organize online medias effectively.


Endsley, Anita 31 January 2006 (has links)
Anita Endsley will portray the role of Sister Mary Hubert in the musical Nunsense at Seaside Music Theatre in Daytona Beach, Florida from October 28 through November 14, 2005. This parody of convent life in crisis written by Dan Goggin provides a breadth of material for analysis of the genre as well as character analysis. Dissecting the comedy will be the foundation for characteer development. The popularity of this musical among Catholic and non-Catholic audiences have created a market that inspired the writer to extend this theme through five sequels. The commercial success of these musicals suggest a strong connection between the demands of the Catholic doctrine and the foundation for comic relief. A vast amount of research can be incorporated to assist in the analysis of comedy written into Nunsense. / M.F.A. / Department of Theatre / Arts and Sciences / Theatre

Automated discovery of performance regressions in enterprise applications

Foo, King Chun (Derek) 31 January 2011 (has links)
Performance regression refers to the phenomena where the application performance degrades compared to prior releases. Performance regressions are unwanted side-effects caused by changes to application or its execution environment. Previous research shows that most problems experienced by customers in the field are related to application performance. To reduce the likelihood of performance regressions slipping into production, software vendors must verify the performance of an application before its release. The current practice of performance verification is carried out only at the implementation level through performance tests. In a performance test, service requests with intensity similar to the production environment are pushed to the applications under test; various performance counters (e.g., CPU utilization) are recorded. Analysis of the results of performance verification is both time-consuming and error-prone due to the large volume of collected data, the absence of formal objectives and the subjectivity of performance analysts. Furthermore, since performance verification is done just before release, evaluation of high impact design changes is delayed until the end of the development lifecycle. In this thesis, we seek to improve the effectiveness of performance verification. First, we propose an approach to construct layered simulation models to support performance verification at the design level. Performance analysts can leverage our layered simulation models to evaluate the impact of a proposed design change before any development effort is committed. Second, we present an automated approach to detect performance regressions from results of performance tests conducted on the implementation of an application. Our approach compares the results of new tests against counter correlations extracted from performance testing repositories. Finally, we refine our automated analysis approach with ensemble-learning algorithms to evaluate performance tests conducted in heterogeneous software and hardware environments. / Thesis (Master, Electrical & Computer Engineering) -- Queen's University, 2011-01-31 15:53:02.732

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