4 resultados para Carr-Purcell-Meiboom-Gill (CPMG)
em DRUM (Digital Repository at the University of Maryland)
Resumo:
Gemstone Team Cogeneration Technology
Resumo:
The trumpet experienced important changes in terms of its musical use during the middle and late Baroque period. Prior to the Baroque, and even in to the first half of the 17th century, the trumpet had historically been used for rather "non-musical" purposes, sometimes as an instrument for battle or as a tool to be used in the town square to announce the arrival of a dignitary. On the whole, the trumpet was most certainly not used as an instrument of melody -that was typically reserved for violins, flutes, and oboes. However, in the late 1600's, composers such as Allesandro Stradella and Henry Purcell began to treat the trumpet differently. They saw the melodic potential in the trumpet and began to feature the trumpet more as an instrument of melody, as opposed to relegating it to only outlining triads and emphasizing harmony. Of course, keyboard, string, and woodwind instruments had long established a significant catalogue of works by the late 17th century. Additionally, even after the trumpet had been established as an instrument of melody, prominent composers of the time still wrote significantly more solo music for these other instrument families than for the trumpet. Consequently, the overall Baroque repertoire for the solo trumpet pales in comparison to that of the other families of instruments. But, much of this Baroque literature not originally written for trumpet can be presented effectively in the form of a transcription, thereby adding greatly to the repertoire of the Baroque solo trumpet. The goal of these three dissertation recitals is twofold: 1) to perform literature that offers music from a variety of countries of origin that span the entire Baroque era and 2) to feature music that has remained relatively unknown in the trumpet world, yet is musically strong. I will also introduce viable "new" music to the trumpet repertoire through Baroque transcriptions originally written for other instruments or voice. The majority of the transcriptions I will be performing have originated from my own listening and study of Baroque music, and I have selected music that I felt would translate well for the trumpet.
Resumo:
This research project uses field measurements to investigate the cooling of a triple-junction, photovoltaic cell under natural convection when subjected to various amounts of insolation. The team built an experimental apparatus consisting of a mirror and Fresnel lens to concentrate light onto a triple-junction photovoltaic cell, mounted vertically on a copper heat sink. Measurements were taken year-round to provide a wide range of ambient conditions. A surface was then generated, in MATLAB, using Sparrow’s model for natural convection on a vertical plate under constant heat flux. This surface can be used to find the expected operating temperature of a cell at any location, given the ambient temperature and insolation. This research is an important contribution to the industry because it utilizes field data that represents how a cell would react under normal operation. It also extends the use of a well-known model from a one-sun environment to a multi-sun one.
Resumo:
Using scientific methods in the humanities is at the forefront of objective literary analysis. However, processing big data is particularly complex when the subject matter is qualitative rather than numerical. Large volumes of text require specialized tools to produce quantifiable data from ideas and sentiments. Our team researched the extent to which tools such as Weka and MALLET can test hypotheses about qualitative information. We examined the claim that literary commentary exists within political environments and used US periodical articles concerning Russian literature in the early twentieth century as a case study. These tools generated useful quantitative data that allowed us to run stepwise binary logistic regressions. These statistical tests allowed for time series experiments using sea change and emergency models of history, as well as classification experiments with regard to author characteristics, social issues, and sentiment expressed. Both types of experiments supported our claim with varying degrees, but more importantly served as a definitive demonstration that digitally enhanced quantitative forms of analysis can apply to qualitative data. Our findings set the foundation for further experiments in the emerging field of digital humanities.