671 resultados para Performance Art
Resumo:
It would be a rare thing to visit an early years setting or classroom in Australia that does not display examples of young children’s artworks. This practice serves to give schools a particular ‘look’, but is no guarantee of quality art education. The Australian National Review of Visual Arts Education (NRVE) (2009) has called for changes to visual art education in schools. The planned new National Curriculum includes the arts (music, dance, drama, media and visual arts) as one of the five learning areas. Research shows that it is the classroom teacher that makes the difference, and teacher education has a large part to play in reforms to art education. This paper provides an account of one foundation unit of study (Unit 1) for first year university students enrolled in a 4-year Bachelor degree program who are preparing to teach in the early years (0–8 years). To prepare pre-service teachers to meet the needs of children in the 21st century, Unit 1 blends old and new ways of seeing art, child and pedagogy. Claims for the effectiveness of this model are supported with evidence-based research, conducted over the six years of iterations and ongoing development of Unit 1.
Resumo:
A practical approach for identifying solution robustness is proposed for situations where parameters are uncertain. The approach is based upon the interpretation of a probability density function (pdf) and the definition of three parameters that describe how significant changes in the performance of a solution are deemed to be. The pdf is constructed by interpreting the results of simulations. A minimum number of simulations are achieved by updating the mean, variance, skewness and kurtosis of the sample using computationally efficient recursive equations. When these criterions have converged then no further simulations are needed. A case study involving several no-intermediate storage flow shop scheduling problems demonstrates the effectiveness of the approach.
Resumo:
This research explores the function of entrepreneurship in nonprofit art museums. Traditionally, entrepreneurship literature features debates on customer orientation and innovation. This paper reviews a tension in entrepreneurship: the relationship between limited funding and the need to innovate in nonprofit art museums. The paper develops a construct by which to explain the structure of entrepreneurship in nonprofit art museums in Australia and New Zealand since 1975. From this discussion, different strategies and tensions are highlighted that nonprofit art museum directors have used. The dynamics are explored in ten large art museums and the managerial implications are developed.
Resumo:
I put my abstract in for this conference back in March, based on some evaluation work I had been doing in 2010 with my colleague Professor Greg Hearn for the 3C Regional Writing NeoGreography Project. I had been swapping notes with a colleague from the Smithsonian’s Centre for Folklife and Cultural Heritage about their evaluation work, and stuck inside during the rains of January, I decided to apply for a Qld Smithsonian fellowship based on the quandary of evaluation-particular in public histories (oral histories) and digital storytelling. In July I was awarded the fellowship, so I have tweaked my presentation to talk about what we hope to do with this collaboration, to propel the importance placed on evaluation in public arts programs in Qld and beyond.
Resumo:
While researchers strive to improve automatic face recognition performance, the relationship between image resolution and face recognition performance has not received much attention. This relationship is examined systematically and a framework is developed such that results from super-resolution techniques can be compared. Three super-resolution techniques are compared with the Eigenface and Elastic Bunch Graph Matching face recognition engines. Parameter ranges over which these techniques provide better recognition performance than interpolated images is determined.
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This letter presents a technique to assess the overall network performance of sampled value process buses based on IEC 61850-9-2 using measurements from a single location in the network. The method is based upon the use of Ethernet cards with externally synchronized time stamping, and characteristics of the process bus protocol. The application and utility of the method is demonstrated by measuring latency introduced by Ethernet switches. Network latency can be measured from a single set of captures, rather than comparing source and destination captures. Absolute latency measures will greatly assist the design testing, commissioning and maintenance of these critical data networks.
Resumo:
Modelling activities in crowded scenes is very challenging as object tracking is not robust in complicated scenes and optical flow does not capture long range motion. We propose a novel approach to analyse activities in crowded scenes using a “bag of particle trajectories”. Particle trajectories are extracted from foreground regions within short video clips using particle video, which estimates long range motion in contrast to optical flow which is only concerned with inter-frame motion. Our applications include temporal video segmentation and anomaly detection, and we perform our evaluation on several real-world datasets containing complicated scenes. We show that our approaches achieve state-of-the-art performance for both tasks.
Resumo:
This paper explores the art and craft of teaching in higher education. It presents a model of the relationship between art and craft drawn from the author’s theoretical and empirical work, and provides examples from the higher education context to illustrate the model. It discusses the characteristics of teaching as art and craft and critiques the move towards standardisation and conformity in favour of originality, creativity and innovation. It suggests that to see teaching as art is more holistic, satisfying and transformative than to see it as craft. It argues for reclaiming the art of teaching and provides strategies for encouraging and supporting artistic teaching.
Resumo:
This paper investigates the effects of limited speech data in the context of speaker verification using a probabilistic linear discriminant analysis (PLDA) approach. Being able to reduce the length of required speech data is important to the development of automatic speaker verification system in real world applications. When sufficient speech is available, previous research has shown that heavy-tailed PLDA (HTPLDA) modeling of speakers in the i-vector space provides state-of-the-art performance, however, the robustness of HTPLDA to the limited speech resources in development, enrolment and verification is an important issue that has not yet been investigated. In this paper, we analyze the speaker verification performance with regards to the duration of utterances used for both speaker evaluation (enrolment and verification) and score normalization and PLDA modeling during development. Two different approaches to total-variability representation are analyzed within the PLDA approach to show improved performance in short-utterance mismatched evaluation conditions and conditions for which insufficient speech resources are available for adequate system development. The results presented within this paper using the NIST 2008 Speaker Recognition Evaluation dataset suggest that the HTPLDA system can continue to achieve better performance than Gaussian PLDA (GPLDA) as evaluation utterance lengths are decreased. We also highlight the importance of matching durations for score normalization and PLDA modeling to the expected evaluation conditions. Finally, we found that a pooled total-variability approach to PLDA modeling can achieve better performance than the traditional concatenated total-variability approach for short utterances in mismatched evaluation conditions and conditions for which insufficient speech resources are available for adequate system development.
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Sandwich shells have recently emerged as aesthetically pleasing, efficient and economical structural systems, with a number of applications. They combine the advantages of sandwich layer technology together with those of shell action. With different materials and thicknesses used in the sandwich layers, their performance characteristics largely remain un-quantified and there are no guidelines at present for their design. This research paper provides verification, through finite element modeling and testing, for the application of this technology to dome styled dwellings with research currently being conducted into the further application to roofing and floor structures.
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The quality of discovered features in relevance feedback (RF) is the key issue for effective search query. Most existing feedback methods do not carefully address the issue of selecting features for noise reduction. As a result, extracted noisy features can easily contribute to undesirable effectiveness. In this paper, we propose a novel feature extraction method for query formulation. This method first extract term association patterns in RF as knowledge for feature extraction. Negative RF is then used to improve the quality of the discovered knowledge. A novel information filtering (IF) model is developed to evaluate the proposed method. The experimental results conducted on Reuters Corpus Volume 1 and TREC topics confirm that the proposed model achieved encouraging performance compared to state-of-the-art IF models.
Resumo:
In this paper we use a sequence-based visual localization algorithm to reveal surprising answers to the question, how much visual information is actually needed to conduct effective navigation? The algorithm actively searches for the best local image matches within a sliding window of short route segments or 'sub-routes', and matches sub-routes by searching for coherent sequences of local image matches. In contract to many existing techniques, the technique requires no pre-training or camera parameter calibration. We compare the algorithm's performance to the state-of-the-art FAB-MAP 2.0 algorithm on a 70 km benchmark dataset. Performance matches or exceeds the state of the art feature-based localization technique using images as small as 4 pixels, fields of view reduced by a factor of 250, and pixel bit depths reduced to 2 bits. We present further results demonstrating the system localizing in an office environment with near 100% precision using two 7 bit Lego light sensors, as well as using 16 and 32 pixel images from a motorbike race and a mountain rally car stage. By demonstrating how little image information is required to achieve localization along a route, we hope to stimulate future 'low fidelity' approaches to visual navigation that complement probabilistic feature-based techniques.
Resumo:
In Queensland, the legislation governing the conduct of art unions such as bingo, raffles and lucky envelopes is the Art Unions Act 1992 (ΑAct≅). The Act is administered by the Queensland Office of Gaming Regulation (ΑQOGR≅) which is part of the Queensland Treasury portfolio. The Act and other legislation such as the Criminal Code, Vagrants Gaming and Other Offences Act, generally makes it unlawful for a person to conduct art unions unless they are authorised to do so. The Art Unions Act allows Αeligible≅ nonprofit associations such as charities, schools, sporting and community groups to raise funds for their stated objects. Art unions were legalised in the early part of this century primarily to assist charities and other approved associations to raise funds for worthwhile causes. This principle is continued in the 1992 Act. The Queensland art union industry had a turnover of over$190M in 1996/97 and our Queensland art unions continue to attract not just sales from Queensland residents but also interstate and overseas buyers. Art unions continue to be an attractive form of fundraising for many nonprofit associations.