Modeling power in multi-functionality sensor network applications

Rachit Agarwal, Rafael V. Martinez-Catala, Sean Harte, Cedric Segard, Brendan O'Flynn, "Modeling Power in Multi-functionality Sensor Network Applications," sensorcomm, pp.507-512, 2008 Proceedings of the Second International Conference on Sensor Technologies and Applications, August 25-August 31 2008, Cap Esterel, France

On classical and other methods of discriminant analysis and estimation of log-odds

For two multinormal populations with equal covariance matrices the likelihood ratio discriminant function, an alternative allocation rule to the sample linear discriminant function when n1 ≠ n2 ,is studied analytically. With the assumption of a known covariance matrix its distribution is derived and the expectation of its actual and apparent error rates evaluated and compared with those of the sample linear discriminant function. This comparison indicates that the likelihood ratio allocation rule is robust to unequal sample sizes. The quadratic discriminant function is studied, its distribution reviewed and evaluation of its probabilities of misclassification discussed. For known covariance matrices the distribution of the sample quadratic discriminant function is derived. When the known covariance matrices are proportional exact expressions for the expectation of its actual and apparent error rates are obtained and evaluated. The effectiveness of the sample linear discriminant function for this case is also considered. Estimation of true log-odds for two multinormal populations with equal or unequal covariance matrices is studied. The estimative, Bayesian predictive and a kernel method are compared by evaluating their biases and mean square errors. Some algebraic expressions for these quantities are derived. With equal covariance matrices the predictive method is preferable. Where it derives this superiority is investigated by considering its performance for various levels of fixed true log-odds. It is also shown that the predictive method is sensitive to n1 ≠ n2. For unequal but proportional covariance matrices the unbiased estimative method is preferred. Product Normal kernel density estimates are used to give a kernel estimator of true log-odds. The effect of correlation in the variables with product kernels is considered. With equal covariance matrices the kernel and parametric estimators are compared by simulation. For moderately correlated variables and large dimension sizes the product kernel method is a good estimator of true log-odds.

Prophets of the beast: the modernist esotericism of D.H. Lawrence and W.B. Yeats

This thesis analyses the influence of the esoteric tradition on D.H. Lawrence and W.B. Yeats’ thought and examines both authors’ writings in light of the antidemocratic political religions that emerged during and after their respective careers. While a number of extant studies investigate the connection between modernism and the occult and a number of critics have discussed the importance of antidemocratic politics to modernism, this study is unique in its emphasis on the relationship between modernist esotericism and antidemocratic politics, and in its insistence that the interconnection between the two constitutes a fundamental part of both authors’ world-views. This study calls for the development of a multivalent understanding of modernism, which appears as neither a “cultural movement identifiable with bourgeois, capitalist, paternalist, ethnocentrist, phallocentrist, and logocentrist ideologies” (Surette 5) nor entirely the opposite; Romantic, feministic, primitivistic and countercultural. Rather, modernism will be shown to have encompassed both of these ideological orientations, effectively operating on a double front in its crusade to establish a new age. This complexity is visible in both Lawrence and Yeats’ work, as both authors advocate a return to traditional structures while simultaneously endeavouring to usher Western civilisation into a new modern paradigm. Although they primarily grounded their writings in a mythico-pastoral discourse that masked the practical implications of their revolutionary agendas, both authors possessed an attraction to Futurist thought and, albeit rarely, showed an awareness that the change they envisioned could not be brought about without a radical intervention in the political and economic sectors – an intervention that would necessarily take place through the medium of the “machine” from which they were often so adamant to distance themselves. This fusion of technophilic and Arcadian thought-currents – dubbed “archeofuturism” by the French right-wing intellectual Guillaume Faye – constitutes the central focus of this discussion of Lawrentian and Yeatsian thought.

A corpus-driven error analysis of the oral and written production of Leaving Certificate Spanish learners

The Leaving Certificate (LC) is the national, standardised state examination in Ireland necessary for entry to third level education – this presents a massive, raw corpus of data with the potential to yield invaluable insight into the phenomena of learner interlanguage. With samples of official LC Spanish examination data, this project has compiled a digitised corpus of learner Spanish comprised of the written and oral production of 100 candidates. This corpus was then analysed using a specific investigative corpus technique, Computer-aided Error Analysis (CEA, Dagneaux et al, 1998). CEA is a powerful apparatus in that it greatly facilitates the quantification and analysis of a large learner corpus in digital format. The corpus was both compiled and analysed with the use of UAM Corpus Tool (O’Donnell 2013). This Tool allows for the recording of candidate-specific variables such as grade, examination level, task type and gender, therefore allowing for critical analysis of the corpus as one unit, as separate written and oral sub corpora and also of performance per task, level and gender. This is an interdisciplinary work combining aspects of Applied Linguistics, Learner Corpus Research and Foreign Language (FL) Learning. Beginning with a review of the context of FL learning in Ireland and Europe, I go on to discuss the disciplinary context and theoretical framework for this work and outline the methodology applied. I then perform detailed quantitative and qualitative analyses before going on to combine all research findings outlining principal conclusions. This investigation does not make a priori assumptions about the data set, the LC Spanish examination, the context of FLs or of any aspect of learner competence. It undertakes to provide the linguistic research community and the domain of Spanish language learning and pedagogy in Ireland with an empirical, descriptive profile of real learner performance, characterising learner difficulty.