969 resultados para Quotient Modules
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Accused of being autobiographical, as many debut novels often are, Turtle, upon first reading and further prying, does read as a story wrenched out of Gary Bryson’s own life. In a recent interview with Mandy Sayer, however, he was quick to deny all sorts of archetypal allegations. “Any resemblance to turtles living or dead”, Bryson explained, “is entirely coincidental”. Regardless of the many parallels that align author with protagonist—both were born and raised in a grey-skied Glasgow, both grew up in self-described dysfunctional families, and both returned to the colourless city to attend their mothers’ funerals—the narrative combines bruising black comedy with moments of magic realism. The result is an unlikely but often surprising concoction of twists and turns, each of which mixes the fallibility of memory with the slippery nature of truth. This playfulness between the material world and its metaphorical counterpart raises questions, not only about the curse that poisons its characters, but about the ethical implications of blurring fact and fiction...
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Forget Disney's timeless tales of rags-to-riches. Princesses are the most overrated public figures of all time. Apparently. Cinderella, after all, was 'a calculating, sinister go-getter' who murdered her step-mother at the instruction of a jealous governess (88). Sleeping Beauty was raped as she slept, woken not by the wet kiss of a handsome prince, but the kick and punch of twins stirring in her belly. Over the centuries, only the pea-detecting princess has remained herself: hedonistic, melodramatic and 'still perhaps the most pampered, precious wimp in the history of fairy tales' (88). There are, however, shards of truth to be salvaged from the fractured lives of these glassy-eyed women. After all, even Princess Mary worked in real estate.
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In the nineteenth century, when female travel narratives of miss(adventure) were still read as excursions rather than expeditions, it was common for women travellers to preface their writing with an apology or admission of guilt—a type of disclaimer that excused the author for engaging in such inappropriate activity and bothering the reader with their trivial endeavours. Susan Gilman’s Undress Me in the Temple of Heaven offers no such thing. Instead Gilman begins her memoir with a confession about its lack of lies, half-truth and spin. ‘This is a true story,’ she writes, ‘recounted as accurate as possible and corroborated by notes I took at the time and by others who were present.’
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A review of Lloyd Jones's Mister Pip; winner of the 2007 Commonwealth Writer's Prize and shortlisted for the 2007 Man Booker Prize.
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Described as 'The Lucky Country' over forty-years ago, Australia continues to play on and onward with a fervent belief in luck, her people often described, usually by themselvess, as 'graced' or as living in 'God's Own'. With our comfortable lifestyle and isolated location, white sands and soft mangoes, it is easy to see why we embraced the term so eagerly. Where else could you win the lottery twice? While these national stereotypes are an essential part of the romance that drives and defines us, the idea that luck is the central motif of Australian culture has become a cliche, and a dangerous, almost disastrous one at that. In On Luck, Anne Summers observes, "You hear it everywhere: in all sorts of conversations, in Qantas ads, from the mouths of travellers returning from overseas trips full of complaints about the climate, the crowds, the uncivility of other places".
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The queer studies field works to deconstruct dominant western discourses which cast gay men as hedonistic partygoers. Concurrently it examines the real social ramifications for some gay men for whom partying, illegal drugs and casual sex is an everyday reality. Another reality of gay male culture is HIV/AIDS and the legal prescribed medicines which accompany these conditions. Pleasure Consuming Medicine: The Queer Politics of Drugs explores these realities and the discourses surrounding them. Exploring the embodiments of illegal and prescription drug users, this book problematises the binary between prescription medicine use, where drug use is configured as a matter of consumer choice, and 'illicit' drug use which is heavily policed and condemned. Returning to the gay community it reviews community approaches to safe sex and drug use, and individual practices, to demonstrate alternative approaches to condemning drug usage.
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The Ashgate Research Companion to Queer Theory is a solid collection providing an overview of the past, present and future applications of queer theory. The Companion confidently lives up to its name as a research companion offering useful theories and methodologies for the reader to utilise queer theory in their own work.
Resumo:
The queer studies field works to deconstruct dominant western discourses which cast gay men as hedonistic partygoers. Concurrently it examines the real social ramifications for some gay men for whom partying, illegal drugs and casual sex is an everyday reality. Another reality of gay male culture is HIV/AIDS and the legal prescribed medicines which accompany these conditions. Pleasure Consuming Medicine: The Queer Politics of Drugs explores these realities and the discourses surrounding them. Exploring the embodiments of illegal and prescription drug users, this book problematises the binary between prescription medicine use, where drug use is configured as a matter of consumer choice, and 'illicit' drug use which is heavily policed and condemned. Returning to the gay community it reviews community approaches to safe sex and drug use, and individual practices, to demonstrate alternative approaches to condemning drug usage.
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The Proposal is a well-executed romantic comedy that easily meets its low ambitions. Director Anne Fletcher (Step Up, 27 Dresses) and newcomer writer Peter Chiarelli team up to deliver a lighthearted comedy termpered with heartwarming family values. The cute and lovable cast, headed by Sandra Bullock and Ryan Reynolds, enriches this simple tale...
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This paper proposes a semi-supervised intelligent visual surveillance system to exploit the information from multi-camera networks for the monitoring of people and vehicles. Modules are proposed to perform critical surveillance tasks including: the management and calibration of cameras within a multi-camera network; tracking of objects across multiple views; recognition of people utilising biometrics and in particular soft-biometrics; the monitoring of crowds; and activity recognition. Recent advances in these computer vision modules and capability gaps in surveillance technology are also highlighted.
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A significant proportion of the cost of software development is due to software testing and maintenance. This is in part the result of the inevitable imperfections due to human error, lack of quality during the design and coding of software, and the increasing need to reduce faults to improve customer satisfaction in a competitive marketplace. Given the cost and importance of removing errors improvements in fault detection and removal can be of significant benefit. The earlier in the development process faults can be found, the less it costs to correct them and the less likely other faults are to develop. This research aims to make the testing process more efficient and effective by identifying those software modules most likely to contain faults, allowing testing efforts to be carefully targeted. This is done with the use of machine learning algorithms which use examples of fault prone and not fault prone modules to develop predictive models of quality. In order to learn the numerical mapping between module and classification, a module is represented in terms of software metrics. A difficulty in this sort of problem is sourcing software engineering data of adequate quality. In this work, data is obtained from two sources, the NASA Metrics Data Program, and the open source Eclipse project. Feature selection before learning is applied, and in this area a number of different feature selection methods are applied to find which work best. Two machine learning algorithms are applied to the data - Naive Bayes and the Support Vector Machine - and predictive results are compared to those of previous efforts and found to be superior on selected data sets and comparable on others. In addition, a new classification method is proposed, Rank Sum, in which a ranking abstraction is laid over bin densities for each class, and a classification is determined based on the sum of ranks over features. A novel extension of this method is also described based on an observed polarising of points by class when rank sum is applied to training data to convert it into 2D rank sum space. SVM is applied to this transformed data to produce models the parameters of which can be set according to trade-off curves to obtain a particular performance trade-off.
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Inspection of solder joints has been a critical process in the electronic manufacturing industry to reduce manufacturing cost, improve yield, and ensure product quality and reliability. This paper proposes two inspection modules for an automatic solder joint classification system. The “front-end” inspection system includes illumination normalisation, localisation and segmentation. The “back-end” inspection involves the classification of solder joints using the Log Gabor filter and classifier fusion. Five different levels of solder quality with respect to the amount of solder paste have been defined. The Log Gabor filter has been demonstrated to achieve high recognition rates and is resistant to misalignment. This proposed system does not need any special illumination system, and the images are acquired by an ordinary digital camera. This system could contribute to the development of automated non-contact, non-destructive and low cost solder joint quality inspection systems.
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Markov chain Monte Carlo (MCMC) estimation provides a solution to the complex integration problems that are faced in the Bayesian analysis of statistical problems. The implementation of MCMC algorithms is, however, code intensive and time consuming. We have developed a Python package, which is called PyMCMC, that aids in the construction of MCMC samplers and helps to substantially reduce the likelihood of coding error, as well as aid in the minimisation of repetitive code. PyMCMC contains classes for Gibbs, Metropolis Hastings, independent Metropolis Hastings, random walk Metropolis Hastings, orientational bias Monte Carlo and slice samplers as well as specific modules for common models such as a module for Bayesian regression analysis. PyMCMC is straightforward to optimise, taking advantage of the Python libraries Numpy and Scipy, as well as being readily extensible with C or Fortran.