133 resultados para Blind Spots.

em Deakin Research Online - Australia


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In this essay, the author suggests that the practice of environmental education research might be improved by efforts to identify what Jon Wagner calls the 'blank spots' and 'blind spots' that configure the collective ignorance of environmental education researchers. In Wagner's terms, what we know enough to question but not answer are our blank spots; what we do not know well enough even to ask about or care about are our blind spots - areas in which existing theories, methods, and perceptions actually keep us from seeing phenomena as clearly as we might. By way of example, the author argues that much research on significant life experiences does little to reduce ignorance in environmental education. He concludes by briefly appraising some strategies that might help environmental education researchers to recognise ways in which the field's dominant research traditions and models produce partialities and distortions.

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I review the thinking of Barbara Bolt in her recent book, which is informed by Martin Heidegger’s theory of art. Bolt argues that it is in the flux of art practice, where the artist responds bodily, with hands and eyes, to the encounter with the materials of practice, that visual art produces real material effects. That is, through the praxical encounter, art does not merely represent, it performs radically. Bolt thus argues for a materialist ontology of the work of visual art. I examine what Bolt means by ‘real material effects’ and ‘radical performativity’.

In developing my own project on the poetic response to visual art, particularly portraiture, I have freely adapted Heidegger’s theory of art to propose that the poet responds to the visual encounter in a manner similar to that of Heidegger’s preserver, by restraining usual knowing and looking. In this way the poet facilitates the emergence from the work of visual art of truth about being and earth, as defined by Heidegger. In my forthcoming article ‘Ekphrasis and illumination of painting’, I argue that the poet, like the artist, restrains seeing-as and operates in a mode approximating mere seeing, as these terms are defined by Heidegger and Wittgenstein.

In the present article I propose to examine the role of looking down and looking up in non-representational art, and in particular Bolt’s ‘oil stain paintings’ exhibited in the Forty-five Downstairs gallery in Melbourne in conjunction with the launch of her book.

I propose to expose some blind spots in the thinking which underpins theories derived from Heidegger. I will examine the way ‘representation’ has been constructed in twentieth-century thought, and will argue that Heideggerian truth and Bolt’s ‘real material effects’ result from the privileging of perception over knowledge. I will examine, with particular reference to portraiture, Bolt’s assertion that the referent can be rehabilitated in Western thought and traced in ‘real material effects’. I will argue that ‘representation’ is an unstable process occurring within and outside signification, and that this very instability enables us to confidently predict that all art produces ‘real material effects’, or in other words, Heideggerian truth.

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This exploratory study analysed the Threshold Learning Outcomes ("TLOs") specified in the Bachelor of Laws Learning and Teaching Academic Standards Statement December 2010, and the Competency Standards for Entry-Level Lawyers for Practical Legal Training, as updated by the Australasian Professional Legal Education Council and Law Admissions Consultative Committee in February 2002 ("NCS"). The qualitative analysis was undertaken using the NVivo computer assisted qualitative data analysis software ("CAQDAS"), to investigate how skills were categorised and defined in each of the documents. The results were then analysed to compare the respective categorisation and definition of skills, and to point to potential complements, overlaps, conflicts, gaps, or blind spots, between the TLOs and the NCS. The findings, and the methodology adopted, might provide insights for future instructional design, content, and delivery of Practical Legal Training programs, and for future reviews of the TLOs and NCS.

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This research applied qualitative and narrative methodology to investigate police officers' professional practice and learning. Analysis of the data revealed three thematic frameworks of power-knowledge relations, practice and knowledge, and gender and (dis)embodied practice that harboured doubtful matters (aporias) and blind spots (lacunae). The potential for change and the possibility of different perspectives and new learning was evident. Paradigmatic shifts in thinking, learning and practice are needed for police officers to develop reflexive practice that is social, relational, agential, and embodied, however, limitations and constraints exist based on the strength and resilience of dominant pedagogies influenced by social, cultural, institutional and occupational practices and discourses.

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This paper seeks to explore the nature of Australian immigration policies and practices, particularly their impact on women, from federation in 1901 to the cessation of large-scale assisted immigration to Australia brought about by the 1930s depression. The characteristics that influenced and affected female immigrants may have differentiated their experiences from those of male immigrants in the same period. Differential treatment of men and women has often been an unstated given in the formulation and implementation of immigration policies. It was as common to non-government organisations (of which there were, and still are, a great many associated with immigration and settlement), as to governments, both federal and state. Several inequities can be identified in the making and implementation of immigration and settlement policies, and in the access to government grants, concessions and services, not only in terms of race, ethnicity, class or occupation (which is well trodden ground in this field) but also in terms of gender.[1] Such differentiation is part of the broader framework of changing conceptions about the place and roles of women in Australian society and their expected contribution to the nation, but it has remained largely unexplicated in this period and field.

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This paper presents a new approach to separate colored stationary signals mixed by convolutive channels. A cost function is proposed by employing linear constraint to the demixing vectors. The linear constraint is shown to be sufficient for avoiding trivial solution. The minimization of the cost function is performed using the Lagrangian method. Simulation results demonstrate the performance of the algorithm.


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This paper presents a new method for blind source separation by exploiting phase and frequency redundancy of cyclostationary signals in a complementary way. It requires a weaker separation condition than those methods which only exploit the phase diversity or the frequency diversity of the source signals. The separation criterion is to diagonalize a polynomial matrix whose coefficient matrices consist of the correlation and cyclic correlation matrices, at time delay .TAU. = 0, of multiple measurements. An algorithm is proposed to perform the blind source separation. Computer simulation results illustrate the performance of the new algorithm in comparison with the existing ones.

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We address the blind equalization of finite-impulse-response (FIR) and multiple-input multiple-output (MIMO) channel systems excited by constant modulus (CM) signals. It is known that the algorithms based on the CM criterion can equalize an FIR MIMO system that is irreducible. The irreducible condition is restrictive as it requires all source signals to be received at sensors simultaneously. In this paper, we further show that the CM property of signals can be exploited to construct a zero-forcing equalizer for a system that is nonirreducible. Simulation examples demonstrate the proposed result.

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This paper presents a new approach to separate colored signals mixed by FIR (finite impulse response) and MIMO (multiple-input multiple-output) channels. A cost function is proposed by employing linear constrainit to the de mixing vectors. The linear constraint is shown to be sufficient for avoiding trivial solution. The minimization of the cost function is performed using the Lagrangian method. Simulation results demonstrate the performance of the algorithm.

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Thin paper presents a new algorithm for blind source separation (BSS) by exploiting phase and frequency redundancy of cyclostationary signals in a complementary way. The separation criterion is to diagonalize a polynomial matrix whose coefficient matrices consist of the correlation and cyclic correlation matrices of multiple measurements. Computer simulation results illustrate, the performance of the new algorithm in comparison with some existing algorithms.

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This paper presents a new approach for blind separation of unknown cyclostationary signals from instantaneous mixtures. The proposed method can perfectly separate the mixed source signals so long as they have either different cyclic frequencies or clock phases. This is a weaker condition than those required by the algorithms. The separation criterion is to diagonalize a polynomial matrix whose coefficient matrices consist of the correlation and cyclic correlation matrices, at time delay τ=0, of multiple measurements.

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A new blind equalization algorithm for application to wireless communication employing MPSK signals is proposed in this paper.  Since the new cost function exploits the amplitude and phase information simultaneously, the proposed algorithm can provide a superior performance than the conventional constant modulus algorithm (CMA) which only use the amplitude knowledge in its cost function.  Theoretical analysis and numerical simulations both demonstrate that the steady-state mean square error (MSE) for the proposed algorithm is less than that of the CMA.

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We address the problem of adaptive blind source separation (BSS) from instantaneous multi-input multi-output (MIMO) channels. It is known that the constant modulus (CM) criterion can be used to extract unknown source signals. However, the existing CM based algorithms normally extract the source signals in a serial manner. Consequently, the accuracy in extracting each source signal, except for the first one, depends on the accuracy of previous source extraction. This estimation error propagation (accumulation) causes severe performance degradation. In this paper, we propose a new adaptive separation algorithm that can separate all source signals simultaneously by directly updating the separation matrix. The superior performance of the new algorithm is demonstrated by simulation examples

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We address the blind equalization of finite-impulse-response (FIR), multiple-input multiple-output (MIMO) channels excited by constant modulus (CM) signals. It is known that the algorithms based on the constant modulus (CM) criterion can equalize an FIR MIMO channel that is irreducible and column-reduced. We show in this paper that the CM property of signals can be exploited to construct a zero-forcing equalizer for a non-irreducible and non-column-reduced channel. We also give a lower bound for the order of the equalizer. Simulation examples demonstrate the proposed result.