956 resultados para Orsanmichele (Church : Florence, Italy)
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No more published?
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The construction industry is responsible for a significant part of the solid waste that industrialised nations dispose of each year. One reason for this is the inability to easily separate materials and components from each other and from the building structure. If buildings were designed for disassembly in the first instance, then future material and component recovery would be easier. This paper presents a number of principles for design for disassembly that have been tested and developed through a process of research through creative practice. A number of architectural designs have been used to trial the principles in practice.
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Includes index.
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Il lavoro che presento propone un’analisi di una chiesa africana indipendente in Italia, la Celestial Church Of Christ Worldwide (CCCW), cercando di mettere in luce il nesso tra religione, migrazione e il processo di ‘plunting churches’ (Kooning 2009) nel contesto italiano. Attraverso una ricerca sul campo, sono stati indagati i percorsi personali, familiari e comunitari dei membri di una ‘Celestial Parish’ presente nel comune di Brescia, ‘Ileri Oluwa Parish’, al fine di comprendere la natura dei processi identitari coinvolti nell’organizzazione della CCC in Italia. ‘Ileri Oluwa Parish’, in quanto luogo che denota una ‘chiesa individuale collegata ad una Diocesi’ (CCC Constitution (CCC Constitution, 107 (d) si rivela, nella materialità delle sue forme e dei ‘Devotional Services’ che in essa si svolgono, a ‘field of action’ (Lefebvre, 1991). La storia della chiesa, i fondamenti della sua dottrina e i significati comunicati attraverso le forme rituali e religiose che la stessa promuove, sono stati contestualizzati alla luce delle tensioni e delle strategie di potere che strutturano il campo. Le storie dei membri della parrocchia, percorsi di migrazione e mobilità in itinere, rappresentano la lente attraverso cui si è guardato alle relazioni vissute nel nome dello ‘Spirito’, e alla percezione stessa di ciò che gli stessi Celestians definiscono sacro, santo, puro e impuro. Lo sguardo fisso alla vita ordinaria di una Celestial parish in Italia, esteso nell’ultima parte dell’elaborato alla Celestial parish londinese, è stato fondamentale per capire l’intreccio di relazioni spirituali, reti familiari e mobilità degli individui sul territorio italiano ed europeo, processo che ribalta la condizione diasporica della CCC, trasformando una condizione di dispersione in un valore aggiunto, nella possibilità di nuove traiettorie territoriali e spazi di presenza religiosa e socioeconomica.
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Mode of access: Internet.
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Mode of access: Internet.
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Mode of access: Internet.
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This paper develops a general theory of validation gating for non-linear non-Gaussian mod- els. Validation gates are used in target tracking to cull very unlikely measurement-to-track associa- tions, before remaining association ambiguities are handled by a more comprehensive (and expensive) data association scheme. The essential property of a gate is to accept a high percentage of correct associ- ations, thus maximising track accuracy, but provide a su±ciently tight bound to minimise the number of ambiguous associations. For linear Gaussian systems, the ellipsoidal vali- dation gate is standard, and possesses the statistical property whereby a given threshold will accept a cer- tain percentage of true associations. This property does not hold for non-linear non-Gaussian models. As a system departs from linear-Gaussian, the ellip- soid gate tends to reject a higher than expected pro- portion of correct associations and permit an excess of false ones. In this paper, the concept of the ellip- soidal gate is extended to permit correct statistics for the non-linear non-Gaussian case. The new gate is demonstrated by a bearing-only tracking example.
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In this paper we extend the concept of speaker annotation within a single-recording, or speaker diarization, to a collection wide approach we call speaker attribution. Accordingly, speaker attribution is the task of clustering expectantly homogenous intersession clusters obtained using diarization according to common cross-recording identities. The result of attribution is a collection of spoken audio across multiple recordings attributed to speaker identities. In this paper, an attribution system is proposed using mean-only MAP adaptation of a combined-gender UBM to model clusters from a perfect diarization system, as well as a JFA-based system with session variability compensation. The normalized cross-likelihood ratio is calculated for each pair of clusters to construct an attribution matrix and the complete linkage algorithm is employed to conduct clustering of the inter-session clusters. A matched cluster purity and coverage of 87.1% was obtained on the NIST 2008 SRE corpus.
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Investigates the use of lip information, in conjunction with speech information, for robust speaker verification in the presence of background noise. We have previously shown (Int. Conf. on Acoustics, Speech and Signal Proc., vol. 6, pp. 3693-3696, May 1998) that features extracted from a speaker's moving lips hold speaker dependencies which are complementary with speech features. We demonstrate that the fusion of lip and speech information allows for a highly robust speaker verification system which outperforms either subsystem individually. We present a new technique for determining the weighting to be applied to each modality so as to optimize the performance of the fused system. Given a correct weighting, lip information is shown to be highly effective for reducing the false acceptance and false rejection error rates in the presence of background noise
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This paper proposes the use of eigenvoice modeling techniques with the Cross Likelihood Ratio (CLR) as a criterion for speaker clustering within a speaker diarization system. The CLR has previously been shown to be a robust decision criterion for speaker clustering using Gaussian Mixture Models. Recently, eigenvoice modeling techniques have become increasingly popular, due to its ability to adequately represent a speaker based on sparse training data, as well as an improved capture of differences in speaker characteristics. This paper hence proposes that it would be beneficial to capitalize on the advantages of eigenvoice modeling in a CLR framework. Results obtained on the 2002 Rich Transcription (RT-02) Evaluation dataset show an improved clustering performance, resulting in a 35.1% relative improvement in the overall Diarization Error Rate (DER) compared to the baseline system.
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The number of Internet users in Australia has been steadily increasing, with over 10.9 million people currently subscribed to an internet provider (ABS, 2011). Over the past year, the most avid users of the Internet were 15 – 24 year olds, with approximately 95% accessing the internet on a regular basis (ABS, Social Trends, 2011). While the internet has been described as fundamental to higher education students, social and leisure internet tools are also increasingly being used by these students to generate and maintain their social and professional networks and interactions (Duffy & Bruns 2006). Rapid technological advancements have enabled greater and faster access to information for learning and education (Hemmi et al, 2009; Glassman and Kang, 2011). As such, we sought to integrate interactive, online social media into the assessment profile of a Public Health undergraduate cohort at the Queensland University of Technology (QUT). The aim of this exercise was to engage students to both develop and showcase their research on a range of complex, contemporary health issues within the online forum of Wikispaces (http://www.wikispaces.com/) for review and critique by their peers. We applied Bandura’s Social Learning Theory (SLT) to analyse the interactive processes from which students developed deeper and more sustained learning, and via which their overall academic writing standards were raised. This paper outlines the assessment task, and the students’ feedback on their learning outcomes in relation to the Attentional, Retentional, Motor Reproduction, and Motivational Processes outlined by Bandura in SLT. We conceptualise the findings in a theoretical model, and discuss the implications for this approach within the broader tertiary environment.
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At present, many approaches have been proposed for deformable face alignment with varying degrees of success. However, the common drawback to nearly all these approaches is the inaccurate landmark registrations. The registration errors which occur are predominantly heterogeneous (i.e. low error for some frames in a sequence and higher error for others). In this paper we propose an approach for simultaneously aligning an ensemble of deformable face images stemming from the same subject given noisy heterogeneous landmark estimates. We propose that these initial noisy landmark estimates can be used as an “anchor” in conjunction with known state-of-the-art objectives for unsupervised image ensemble alignment. Impressive alignment performance is obtained using well known deformable face fitting algorithms as “anchors.
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Image representations derived from simplified models of the primary visual cortex (V1), such as HOG and SIFT, elicit good performance in a myriad of visual classification tasks including object recognition/detection, pedestrian detection and facial expression classification. A central question in the vision, learning and neuroscience communities regards why these architectures perform so well. In this paper, we offer a unique perspective to this question by subsuming the role of V1-inspired features directly within a linear support vector machine (SVM). We demonstrate that a specific class of such features in conjunction with a linear SVM can be reinterpreted as inducing a weighted margin on the Kronecker basis expansion of an image. This new viewpoint on the role of V1-inspired features allows us to answer fundamental questions on the uniqueness and redundancies of these features, and offer substantial improvements in terms of computational and storage efficiency.