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Distributed Ensemble Learning With Apache SparkLind, Simon January 2016 (has links)
No description available.
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The big band : from dance band to jazz orchestra /Cado, Michael. January 2004 (has links)
Thesis (M.A.)--York University, 2004. Graduate Programme in Music. / Typescript. Includes bibliographical references (leaves 100-102). Also available on the Internet. MODE OF ACCESS via web browser by entering the following URL:http://gateway.proquest.com/openurl?url%5Fver=Z39.88-2004&res%5Fdat=xri:pqdiss&rft%5Fval%5Ffmt=info:ofi/fmt:kev:mtx:dissertation&rft%5Fdat=xri:pqdiss:MQ99285
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The big band : from dance band to jazz orchestra /Cado, Michael. January 2004 (has links)
Thesis (M.A.)--York University, 2004. / Typescript. Includes bibliographical references (p. 100-102).
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A study on financial controllership in large Hong Kong non-banking corporations /Yim, Ting-wai, Francis. January 1986 (has links)
Thesis (M.B.A.)--University of Hong Kong, 1986.
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"Big Data" Management and Security Application to Telemetry Data ProductsKalibjian, Jeff 10 1900 (has links)
ITC/USA 2013 Conference Proceedings / The Forty-Ninth Annual International Telemetering Conference and Technical Exhibition / October 21-24, 2013 / Bally's Hotel & Convention Center, Las Vegas, NV / "Big Data" [1] and the security challenge of managing "Big Data" is a hot topic in the IT world. The term "Big Data" is used to describe very large data sets that cannot be processed by traditional database applications in "tractable" periods of time. Securing data in a conventional database is challenge enough; securing data whose size may exceed hundreds of terabytes or even petabytes is even more daunting! As the size of telemetry product and telemetry post-processed product continues to grow, "Big Data" management techniques and the securing of that data may have ever increasing application in the telemetry realm. After reviewing "Big Data", "Big Data" security and management basics, potential application to telemetry post-processed product will be explored.
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Baryon and lepton number violation at supercollidersGibbs, M. J. January 1994 (has links)
No description available.
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Relationen mellan självkänsla och personlighetsdimensionerna i Big FiveKöhl, Jacqueline January 2013 (has links)
Självkänsla har befunnits ha en relation med de olika personlighetsdimensionerna i Big Five. Dock har olika självaspekters roll inte belysts i tidigare studier. Syftet med denna studie är att undersöka relationen mellan inre och yttre aspekter av självkänsla och personlighet. Studien baseras på en enkätundersökning där 74 psykologistudenter på Stockholms universitet deltog. En multivariat variansanalys visade att en signifikant effekt av bassjälvkänsla och förvärvad självkänsla på Big Five dimensionerna fanns. De univariata testen visade att hög bassjälvkänsla resulterade i en signifikant högre extraversion, agreeableness och openness. En hög förvärvad självkänsla resulterade i en signifikant högre neuroticism samt en signifikant högre conscientiousness. En tendens till interaktionseffekt fanns vad gällde openness. Kombinationen av låg bassjälvkänsla och hög förvärvad självkänsla uppvisade lägst openness, det vill säga var särskilt benägen till rigiditet och konventionalitet.
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Probing the large-scale structure of the Universe with future galaxy redshift surveysHatton, Stephen John January 1999 (has links)
Several projects are currently underway to obtain large galaxy redshift surveys over the course of the next decade. The aim of this thesis is to study how well the resultant three-dimensional maps of the galaxy distribution will be able to constrain the various parameters of the standard Big Bang cosmology. The work is driven by the need to deal with data of far better quality than has previously been available. Systematic biases in the treatment of existing datasets have been dwarfed by random errors due to the small size of the sample, but this will not be the case with the wealth of data that will shortly become available. We employ a set of high-resolution /V-body simulations spanning a range of cosmologies and galaxy biasing schemes. We use the power spectrum of the galaxy density field, measured using the fast Fourier transform process, to develop models and statistics for extracting cosmological information. In particular, we examine the distortion of the power spectrum by galaxy peculiar velocities when measurements are made in redshift space. Mock galaxy catalogues are drawn from these simulations, mimicking the geometries and selection functions of the large surveys we wish to model. Applying the same models to the mock catalogues is not a trivial task, as geometrical effects distort the power spectrum, and measurement errors are determined by the survey volume. We develop methods for assessing these effects and present an in-depth analysis of the likely confidence intervals we will obtain from the surveys on the parameters that determine the power spectrum. Real galaxy catalogues are prone to additional biases that must be assessed and removed. One of these is the effect of extinction by dust in the Milky Way, which imprints its own angular clustering signal on the measured power spectrum. We investigate the strength of this effect for the SDSS survey.
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Big babies, big problems? Fetal macrosomia: clinical variables and maternal and perinatal outcome associated with mode of deliveryToweel, Gabrielle Dominique 23 February 2010 (has links)
MMed (Obstetrics and Gynaecology) Faculty of Health Sciences, University of the Witwatersrand, 2009 / Objectives
• To determine the prevalence of macrosomic babies delivered at Coronation
(now Rahima Moosa) Hospital.
• To compare the maternal and neonatal outcome of vaginally born
macrosomic babies versus vaginally born babies less than 4000g.
• To determine the impact that mode of delivery of the macrosomic babies
had on maternal and neonatal outcome.
• To compare clinical variables for macrosomia with those published in the
literature, in view of identifying predictive factors.
Method
Retrospective record review of all women who delivered at Coronation (Rahima
Moosa) Hospital from 1 January 2005- 30 June 2005.
Results
A total of 134 macrosomic infants were identified, of which 76 were delivered
vaginally, 14 by elective caesarean section and 44 by emergency caesarean
section. During the study period, there were 5800 deliveries. The incidence of
macrosomia in the study population was 2.3%. Characteristics specific to the
iv
cohort of macrosomic infants revealed that male sex was more common (52/74
(70%) in the macrosomic group vs. 32/74 (43%) in the non-macrosomic group,
p<0.0009), length of labour was increased (13.7 vs. 10.9 hours, p=0.032), as was
use of augmentation (16 vs. 5, p=0.009), perineal trauma (34 vs.19, p=0.010) post
partum haemorrhage (10 vs.2, p=0.016) and shoulder dystocia (5 vs. 0, p=0.03).
Vaginal delivery, compared to elective or emergency caesarean section resulted in
less fetal distress (1 vs. 13, p<0.0001) and puerperal fever (4 vs. 19, p=0.0001).
Differences in other fetal and maternal outcomes were not significant.
Conclusion
Fetal macrosomia was more likely to be associated with advanced gestational
age, male sex, prolonged labour, post partum haemorrhage, use of augmentation,
increased perineal trauma especially episiotomy and shoulder dystocia .
Expectant management, progressing labour according to a standardized
partogram and no elective caesarean section on the basis of clinical and or
ultrasound diagnosis of an increased estimated fetal weight, appears to be the
best form of management for the suspected macrosomic.
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Virtual wind sensors: improving wind forecasting using big data analyticsGray, Kevin Alan January 2016 (has links)
A dissertation submitted to the Faculty of Science, University of the Witwatersrand, Johannesburg, in fulfilment of requirements for the degree of Master of Science. Johannesburg, 2016. / Wind sensors provide very accurate measurements, however it is not feasible to have
a network of wind sensors large enough to provide these accurate readings everywhere.
A “virtual” wind sensor uses existing weather forecasts, as well as historical weather
station data to predict what readings a regular wind sensor would provide. This study
attempts to develop a method using Big Data Analytics to predict wind readings for
use in “virtual” wind sensors. The study uses Random Forests and linear regression to
estimate wind direction and magnitude using various transformations of a Digital Elevation
Model, as well as data from the European Centre for Medium-Range Weather Forecasts.
The model is evaluated based on its accuracy when compared to existing high resolution
weather station data, to show a slight improvement in the estimation of wind direction
and magnitude over the forecast data. / LG2017
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