Effect of cold drawing on subsequent surface strain path and ductility during upsetting

Cold drawing is a process that sizes and smooths the surface of steel before it is cold headed to produce bolts. The effect of the changes in the mechanical properties due to cold drawing on the surface strain and ductility during the upsetting process was analysed showing that the stress and strain state can be more readily altered by changes in the process conditions (friction and height-to-diameter ratio) to cause greater increase in the failure strains than can be achieved by pre-drawing.

The idiosyncratic movement potential of the dancer's subject body in the work "Deep map"

An investigation into choreographic processes employed within contemporary modern dance. This involved the exploration of working methods used in the making of "Deep map" nos.1, 2 & 3, presented in Melbourne from 1997-2000. The focus of that method was the placement of the dancer as 'subject' whilst maintaining the role of the choreographer as 'auteur'.

One line lacks density : A study of the associations between cartographic representation and ontology

One way to represent and communicate density in the spatial disciplines including architecture, town planning and geography is through the map, plan or aerial photograph. These media and tools are generally perceived to be objective and analytical modes of practice. But what else do these modes of representation mediate? The paper will respond to this question by exploring notions of ontology, notions of dwelling and being in relation to lines and drawing techniques. A map or plan is an image, in addition to a mode of communication, and affects visual pleasure. As proposals of an unbuilt world and documents of existing environment, drawings contain lines of desire. The thesis is that the lines provide a corporeal framework for an imaginary projection between the viewer and a ‘real’ built environment. The paper becomes focussed on the specifics of the ‘green line’ that has represented post-war Beirut, and is typical of representation of sites of conflict.

In the plans of post-war Beirut an almost straight line running from the top to the bottom of the page is highlighted and represents a trajectory from the Place des Martyr to the Pine Forest. To descend from this metaphoric height of the map into the streets of Beirut is to confront urban density, traffic congestion, pollution exacerbated by dust, and a lack of greenery. During the war much of the fighting occurred across this marker, and since, it has been described as an empty neutral space due to the destruction of edifices on either side, and is often proposed as the only appropriate site for building projects of national significance. Is its emptiness an a priori condition of imaginary projections? Will it remain forever empty of the density everywhere else in Beirut? Who wants to dwell there?
This paper will examine the several nuances of the ‘green line’ and what role it plays between representation and defining ontological environments.

Analytical solutions and finite element modelling of deep drawing process for cylindrical metal cups

Analytical modelling of deep drawing process is of value in preliminary process design to illustrate the influence of major variables including friction and strain hardening on punch loads, cup dimensions and process limits. In this study, analytical models including theoretical solution and a series of finite element models are developed to account for the influences of process parameters including friction coefficient, tooling geometry and material properties on deep drawing of metal cups. The accuracy of both the theoretical and finite element solutions is satisfactory compared with those from experimental work.

Towards the improved treatment of generalization of knowledge claims in IS research : drawing general conclusions from samples

This paper presents a framework for justifying generalization in information systems (IS) research. First, using evidence from an analysis of two leading IS journals, we show that the treatment of generalization in many empirical papers in leading IS research journals is unsatisfactory. Many quantitative studies need clearer definition of populations and more discussion of the extent to which ‘significant’ statistics and use of non-probability sampling affect support for their knowledge claims. Many qualitative studies need more discussion of boundary conditions for their sample-based general knowledge claims. Second, the proposed new framework is presented. It defines eight alternative logical pathways for justifying generalizations in IS research. Three key concepts underpinning the framework are the need for researcher judgment when making any claim about the likely truth of sample-based knowledge claims in other settings; the importance of sample representativeness and its assessment in terms of the knowledge claim of interest; and the desirability of integrating a study’s general knowledge claims with those from prior research. Finally, we show how the framework may be applied by researchers and reviewers. Observing the pathways in the framework has potential to improve both research rigour and practical relevance for IS research.

We close towns for a living : spatial transformation and the Tour de France

This paper explores the ways in which the passage of the Tour de France bicycle race through France produces a distinctive cultural cartography or social map of France. Drawing on Lefebvre's (1991) conceptual triad of spatial practice, representations of space and representational spaces, the paper argues that the Tour de France both represents and is a space that is annually reordered and structured by very particular cultural practices. Through an analysis of the process (and politics) of route selection, the incorporation of iconic landscape and the transformation of civic space as the race moves across the country, the paper foregrounds the socially constructed nature of map making and the role of human intervention in producing and reproducing key cultural cartographies of France through the Tour de France.

Drawing to learn in science

Should science learners be challenged to draw more? Certainly making visualizations is integral to scientific thinking. Scientists do not use words only but rely on diagrams, graphs, videos, photographs, and other images to make discoveries, explain findings, and excite public interest. From the notebooks of Faraday and Maxwell (1) to current professional practices of chemists (2), scientists imagine new relations, test ideas, and elaborate knowledge through visual representations (3–5).

My favourite things - drawing

Large mixed media drawing. Work has been exhibited in 'Something in the air' at Christine Abrahams Gallery, 25 May-6 Jun, 2010. 'Something in the air' was an exhibition in which six selected artists, including Dr Deborah Walker, exhibited their artwork at 27 Gipps St, Richmond, Victoria.

Recognition and response to human movement contained in motion capture data using the Self Organising Map

Neural Networks have been used successfully for recognition of human gestures in many applications including analysis of motion capture data. This paper investigates the potential for using the same methods for both recognition and synthesising responses in relation to movement contained in motion capture sequences.

An empirical study of neighbourhood decay in Kohonen's self organizing map

In this paper, empirical results are presented which suggest that size and rate of decay of region size plays a much more significant role in the learning, and especially the development, of topographic feature maps. Using these results as a basis, a scheme for decaying region size during SOM training is proposed. The proposed technique provides near optimal training time. This scheme avoids the need for sophisticated learning gain decay schemes, and precludes the need for a priori knowledge of likely training times. This scheme also has some potential uses for continuous learning.

A two stage vector quantization approach via self-organizing map

In this paper, a two-stage algorithm for vector quantization is proposed based on a self-organizing map (SOM) neural network. First, a conventional self-organizing map is modified to deal with dead codebooks in the learning process and is then used to obtain the codebook distribution structure for a given set of input data. Next, subblocks are classified based on the previous structure distribution with a prior criteria. Then, the conventional LBG algorithm is applied to these sub-blocks for data classification with initial values obtained via the SOM. Finally, extensive simulations illustrate that the proposed two-stage algorithm is very effective.