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This paper presents a modified approach to evaluate access control policy similarity and dissimilarity based on the proposal by Lin et al. (2007). Lin et al.'s policy similarity approach is intended as a filter stage which identifies similar XACML policies that can be analysed further using more computationally demanding techniques based on model checking or logical reasoning. This paper improves the approach of computing similarity of Lin et al. and also proposes a mechanism to calculate a dissimilarity score by identifying related policies that are likely to produce different access decisions. Departing from the original algorithm, the modifications take into account the policy obligation, rule or policy combining algorithm and the operators between attribute name and value. The algorithms are useful in activities involving parties from multiple security domains such as secured collaboration or secured task distribution. The algorithms allow various comparison options for evaluating policies while retaining control over the restriction level via a number of thresholds and weight factors.

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This article applies social network analysis techniques to a case study of police corruption in order to produce findings which will assist in corruption prevention and investigation. Police corruption is commonly studied but rarely are sophisticated tools of analyse engaged to add rigour to the field of study. This article analyses the ‘First Joke’ a systemic and long lasting corruption network in the Queensland Police Force, a state police agency in Australia. It uses the data obtained from a commission of inquiry which exposed the network and develops hypotheses as to the nature of the networks structure based on existing literature into dark networks and criminal networks. These hypotheses are tested by entering the data into UCINET and analysing the outcomes through social network analysis measures of average path distance, centrality and density. The conclusions reached show that the network has characteristics not predicted by the literature.

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This article in the journalism education field reports on the construction of a new subject as part of a postgraduate coursework degree. The subject, or unit1 will offer both Journalism students and other students an intro¬ductory experience of creating media, using common ‘new media’ tools, with exercises that will model the learning of communication principles through practice. It has been named ‘Fundamental Media Skills for the Workplace’. The conceptualisation and teaching of it will be characteristic of the Journalism academic discipline that uses the ‘inside perspective’—understanding mass media by observing from within. Proposers for the unit within the Journalism discipline have sought to extend the common teaching approach, based on training to produce start-ready recruits for media jobs, backed by a study of contexts, e.g. journalistic ethics, or media audiences. In this proposal, students would then examine the process to elicit additional knowledge about their learning. The article draws on literature of journalism and its pedagogy, and on communication generally. It also documents a ‘community of practice’ exercise conducted among practitioners as teachers for the subject, developing exercises and models of media work. A preliminary conclusion from that exercise is that it has taken a step towards enhancing skills-based learning for media work.

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Since the mid-1990s, government policies in the USA, Canada, England, and Australia have promoted the need to produce an ICT skilled workforce in order to ensure national competitiveness in globalised economic conditions. In this article, we examine the ways in which these policy intentions in 1 state in Australia were translated into a techno-determinist and technocentric plan which focused primarily on getting wired up and connected. We summarise the findings from 2 projects: an investigation of a state-wide principals' professional development programme and an action research study investigating literacy, educational disadvantage, and information technologies. We found significant differences in the distribution of the physical and human capabilities between schools which made the task of engaging with ICT harder for some than others. Nevertheless, we suggest that some school leaders did develop innovative practice. We suggest that policy deficits made it difficult for school leaders to grapple with the dimensions of and debates about the kinds of educational changes that schools and school systems should be making. © 2006 Taylor & Francis.

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A significant proportion of the cost of software development is due to software testing and maintenance. This is in part the result of the inevitable imperfections due to human error, lack of quality during the design and coding of software, and the increasing need to reduce faults to improve customer satisfaction in a competitive marketplace. Given the cost and importance of removing errors improvements in fault detection and removal can be of significant benefit. The earlier in the development process faults can be found, the less it costs to correct them and the less likely other faults are to develop. This research aims to make the testing process more efficient and effective by identifying those software modules most likely to contain faults, allowing testing efforts to be carefully targeted. This is done with the use of machine learning algorithms which use examples of fault prone and not fault prone modules to develop predictive models of quality. In order to learn the numerical mapping between module and classification, a module is represented in terms of software metrics. A difficulty in this sort of problem is sourcing software engineering data of adequate quality. In this work, data is obtained from two sources, the NASA Metrics Data Program, and the open source Eclipse project. Feature selection before learning is applied, and in this area a number of different feature selection methods are applied to find which work best. Two machine learning algorithms are applied to the data - Naive Bayes and the Support Vector Machine - and predictive results are compared to those of previous efforts and found to be superior on selected data sets and comparable on others. In addition, a new classification method is proposed, Rank Sum, in which a ranking abstraction is laid over bin densities for each class, and a classification is determined based on the sum of ranks over features. A novel extension of this method is also described based on an observed polarising of points by class when rank sum is applied to training data to convert it into 2D rank sum space. SVM is applied to this transformed data to produce models the parameters of which can be set according to trade-off curves to obtain a particular performance trade-off.

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In vector space based approaches to natural language processing, similarity is commonly measured by taking the angle between two vectors representing words or documents in a semantic space. This is natural from a mathematical point of view, as the angle between unit vectors is, up to constant scaling, the only unitarily invariant metric on the unit sphere. However, similarity judgement tasks reveal that human subjects fail to produce data which satisfies the symmetry and triangle inequality requirements for a metric space. A possible conclusion, reached in particular by Tversky et al., is that some of the most basic assumptions of geometric models are unwarranted in the case of psychological similarity, a result which would impose strong limits on the validity and applicability vector space based (and hence also quantum inspired) approaches to the modelling of cognitive processes. This paper proposes a resolution to this fundamental criticism of of the applicability of vector space models of cognition. We argue that pairs of words imply a context which in turn induces a point of view, allowing a subject to estimate semantic similarity. Context is here introduced as a point of view vector (POVV) and the expected similarity is derived as a measure over the POVV's. Different pairs of words will invoke different contexts and different POVV's. Hence the triangle inequality ceases to be a valid constraint on the angles. We test the proposal on a few triples of words and outline further research.

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The ‘anti- of ‘(Anti)Queer’ is a queer anti. In particle physics, a domain of science which was for a long time peddled as ultimately knowable, rational and objective, the postmodern turn has made everything queer (or chaotic, as the scientific version of this turn is perhaps more commonly named). This is a world where not only do two wrongs not make a right, but a negative and positive do not calmly cancel each other out to leave nothing, as mathematics might suggest. When matter meets with anti-matter, the resulting explosion can produce not only energy - heat and light? - but new matter. We live in a world whose very basics are no longer the electron and the positron, but an ever proliferating number of chaotic, unpredictable - queer? - subatomic particles. Some are ‘charmed’, others merely ‘strange’ . Weird science indeed. The ‘Anti-’ of ‘Anti-queer’ does not place itself neatly into binaries. This is not a refutation of all that queer has been or will be. It is explicitly a confrontation, a challenge, an attempt to take seriously not only the claims made for queer but the potent contradictions and silences which stand proudly when any attempt is made to write a history of the term. Specifically, ‘Anti-Queer’ is not Beyond Queer, the title of Bruce Bawer’s 1996 book which calmly and self-confidently explains the failings of queer, extols a return to a liberal political theory of cultural change and places its own marker on queer as a movement whose purpose has been served. We are not Beyond Queer. And if we are Anti-Queer, it is only to challenge those working in the arena to acknowledge and work with some of the facts of the movement’s history whose productivity has been erased with a gesture which has, proved, bizarrely, to be reductive and homogenising.

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This paper addresses a previously unconsidered history — that of Aboriginal characters in Australian soap operas. Rejecting critical approaches which have obtained even into the 1990s, it refuses to judge these characters as 'good' or 'bad' manifestations of indigeneity. Rather, using the idea that genre is a way of closing down interpretive possibilities, the paper looks at the manner in which generic expectations around soap operas produce particular valences for these representations of Aboriginality. It points to the many ways in which these indigenous characters are insistently constructed as liminal in soap operas' structural communities - simultaneously inside and outside of the group. This is seen to accord with the suggestions of Jakubowicz et al about the ways in which Aboriginal people are positioned by wider social discourses.

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This paper proposes that a survey of representations of men not-kissing men in recent television drama series makes clear a particularly hysterical fascination. While the Australian program GP has managed to produce a banal representation of two men kissing, American equivalents have resorted to a series of strategies which make insistently clear that not only can men not kiss-but that the act of not-kissing must be repeatedly displayed. By refusing to have lovers kiss; by having lovers kiss but refusing to show the act; by having gay lovers, but having one played by a woman; by having men kiss but rendering the act ridiculous; in these ways, American television programs make clear the importance of this act by consistently pointing towards it and declaring its impossibility. This paper calls for the justice of equal access to public images of kissing.

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Asset health inspections can produce two types of indicators: (1) direct indicators (e.g. the thickness of a brake pad, and the crack depth on a gear) which directly relate to a failure mechanism; and (2) indirect indicators (e.g. the indicators extracted from vibration signals and oil analysis data) which can only partially reveal a failure mechanism. While direct indicators enable more precise references to asset health condition, they are often more difficult to obtain than indirect indicators. The state space model provides an efficient approach to estimating direct indicators by using indirect indicators. However, existing state space models to estimate direct indicators largely depend on assumptions such as, discrete time, discrete state, linearity, and Gaussianity. The discrete time assumption requires fixed inspection intervals. The discrete state assumption entails discretising continuous degradation indicators, which often introduces additional errors. The linear and Gaussian assumptions are not consistent with nonlinear and irreversible degradation processes in most engineering assets. This paper proposes a state space model without these assumptions. Monte Carlo-based algorithms are developed to estimate the model parameters and the remaining useful life. These algorithms are evaluated for performance using numerical simulations through MATLAB. The result shows that both the parameters and the remaining useful life are estimated accurately. Finally, the new state space model is used to process vibration and crack depth data from an accelerated test of a gearbox. During this application, the new state space model shows a better fitness result than the state space model with linear and Gaussian assumption.

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This paper considers the functions of Greek mythology in general and the “Theseus and the Minotaur” myth in particular in two contemporary texts of adolescent masculinity: Rick Riordan’s Percy Jackson series (2005-2009) and Matt Ottley’s Requiem for a Beast: A Work for Image, Word and Music (2007). These texts reveal the ongoing flexibility of mythic texts to be pressed into service of shoring up or challenging currently hegemonic ideologies of self and state. Both Riordan and Ottley make a variety of intertextual uses of classical hero plots in order to facilitate their own narrative explorations of contemporary adolescent men ‘coming of age’. These intertextual gestures might easily be read as gestures of alignment with narrative traditions and authority which simultaneously confer “legitimacy” on Riordan and Ottley, on their texts, and by extension, on their readers. However, when read in juxtaposition, it is clear that Riordan and Ottley may use classical mythology to articulate similarly gendered adolescence, they produce divergent visions of nationed adolescence.

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This article is a study of the arts in early childhood as a way of learning, for both children and their teachers. The author suggests that drawing can be a powerful tool for collaborative approaches to pedagogy. When teachers draw with children, pathways of communication can be opened, and the collaborative exercise can trigger processes of transformation for both adult and child. In order to present challenges to more traditional, hands-off pedagogical practices in arts education, this article is an account of reflexive arts pedagogies, and how they can work to improve communication and understandings between adults and children. Within the educational contexts of Australian preschooling and primary schooling, the author examines the process of collaborative drawing, and how this can enable a process of transformation. Her analysis, and the accompanying examples of reflexive practices, combine complementary lenses, socio-cultural and postmodern, that she sees as working in harmony to produce new possibilities, in arts education in particular, and, more broadly, in early childhood education.

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Public awareness of large infrastructure projects, many of which are delivered through networked arrangements is high for several reasons. These projects often involve significant public investment; they may involve multiple and conflicting stakeholders and can potentially have significant environmental impacts (Lim and Yang, 2008). To produce positive outcomes from infrastructure delivery it is imperative that stakeholder “buy in” be obtained particularly about decisions relating to the scale and location of infrastructure. Given the likelihood that stakeholders will have different levels of interest and investment in project outcomes, failure to manage this dynamic could potentially jeopardise project delivery by delaying or halting the construction of essential infrastructure. Consequently, stakeholder engagement has come to constitute a critical activity in infrastructure development delivered through networks. This paper draws on stakeholder theory and governance network theory and provides insights into how three multi-level networks within the Roads Alliance in Queensland engage with stakeholders in the delivery of road infrastructure. New knowledge about stakeholders has been obtained by testing a model of Stakeholder Salience and Engagement which combines and extends the stakeholder identification and salience theory and the ladder of stakeholder management and engagement. By applying this model, the broad research question: “How do governance networks engage with stakeholders?” has been addressed. A multiple embedded case study design was selected as the overall approach to explore, describe, explain and evaluate how stakeholder engagement occurred in three governance networks delivering road infrastructure in Queensland. The outcomes of this research contribute to and extend stakeholder theory by showing how stakeholder salience impacts on decisions about the types of engagement processes implemented. Governance network theory is extended by showing how governance networks interact with stakeholders. From a practical perspective this research provides governance networks with an indication of how to more effectively undertake engagement with different types of stakeholders.

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The profession of industrial design is changing and with that so must industrial design education. The newly derived final year industrial design unit at the Queensland University of Technology (QUT) was created to initiate such a change. A designers’ role in industry is no longer limited to the invention process surrounding human cantered design but has now evolved into design led innovation. This paper reflects upon the teaching methods employed over a two-year period and improvements made over that time to the unit. The student project outcome is to produce a design solution that integrates an underlying novel technology into a new product and or service, with business strategies and manufacturing details being fully integrated into the design process. It is this integrated approach to industrial design teaching that will foster a more grounded and resourceful future designer.

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A pervasive and puzzling feature of banks’ Value-at-Risk (VaR) is its abnormally high level, which leads to excessive regulatory capital. A possible explanation for the tendency of commercial banks to overstate their VaR is that they incompletely account for the diversification effect among broad risk categories (e.g., equity, interest rate, commodity, credit spread, and foreign exchange). By underestimating the diversification effect, bank’s proprietary VaR models produce overly prudent market risk assessments. In this paper, we examine empirically the validity of this hypothesis using actual VaR data from major US commercial banks. In contrast to the VaR diversification hypothesis, we find that US banks show no sign of systematic underestimation of the diversification effect. In particular, diversification effects used by banks is very close to (and quite often larger than) our empirical diversification estimates. A direct implication of this finding is that individual VaRs for each broad risk category, just like aggregate VaRs, are biased risk assessments.