986 resultados para GENDER STATISTICS
Resumo:
This paper presents a statistical-based fault diagnosis scheme for application to internal combustion engines. The scheme relies on an identified model that describes the relationships between a set of recorded engine variables using principal component analysis (PCA). Since combustion cycles are complex in nature and produce nonlinear relationships between the recorded engine variables, the paper proposes the use of nonlinear PCA (NLPCA). The paper further justifies the use of NLPCA by comparing the model accuracy of the NLPCA model with that of a linear PCA model. A new nonlinear variable reconstruction algorithm and bivariate scatter plots are proposed for fault isolation, following the application of NLPCA. The proposed technique allows the diagnosis of different fault types under steady-state operating conditions. More precisely, nonlinear variable reconstruction can remove the fault signature from the recorded engine data, which allows the identification and isolation of the root cause of abnormal engine behaviour. The paper shows that this can lead to (i) an enhanced identification of potential root causes of abnormal events and (ii) the masking of faulty sensor readings. The effectiveness of the enhanced NLPCA based monitoring scheme is illustrated by its application to a sensor fault and a process fault. The sensor fault relates to a drift in the fuel flow reading, whilst the process fault relates to a partial blockage of the intercooler. These faults are introduced to a Volkswagen TDI 1.9 Litre diesel engine mounted on an experimental engine test bench facility.
Resumo:
This article is based upon a secondary analysis of the Youth Cohort Study of England and Wales 1998 and examines the effects of social class and ethnicity on gender differences in GCSE attainment for those who left school in 1997 (n = 14,662). The article shows that both social class and ethnicity exert a far greater influence on the GCSE performance of boys and girls than gender. Moreover, the article also shows that an interaction effect is present between social class and gender and also between ethnicity and gender in relation to their impact upon GCSE attainment. More specifically, the findings suggest that a strong correlation exists such that the lower the overall levels of educational attainment for any group (whether that group is defined in terms of social class or ethnicity), the higher the gender differences that exist between those within that group.
Resumo:
Over recent years the moral panic that has surrounded 'boys' underachievement' has tended to encourage crude and essentialist comparisons between all boys and all girls and to eclipse the continuing and more profound effects on educational achievement exerted by social class and 'race'/ethnicity. While there are differences in educational achievement between working class boys and girls, these differences are relatively minor when comparing the overall achievement levels of working class children with those from higher, professional social class backgrounds. This paper argues that a need exists therefore for researchers to fully contextualise the gender differences that exist in educational achievement within the over-riding contexts provided by social class and 'race'/ethnicity. The paper provides an example of how this can be done through a case study of 11-year-old children from a Catholic, working class area in Belfast. The paper shows how the children's general educational aspirations are significantly mediated by their experiences of the local area in which they live. However, the way in which the children come to experience and construct a sense of locality differs between the boys and girls and this, it is argued, helps to explain the more positive educational aspirations held by some of the girls compared to the boys. The paper concludes by considering the relevance of locality for understanding its effects on educational aspirations among other working class and/or minority ethnic communities.