Iterative intersections

Iterative Intersectioning is a body of art works that comes out of the collaboration between author and electronic artist Jen Seevinck and a community of print artists, most particularly Elizabeth Saunders (EJ) and Robert Oakman. The work shown here is concerned with the creative process of collaboration, specifically as this informs visual forms. This is through our focus on process. This process has facilitated a 'conversational' exchange between all artists and a corresponding evolution in the artworks. In each case the dialogue is either between the author, Jen and EJ or between Jen and Robert. It consists of passing work between parties, interpreting it and working into it, before passing it back. The result is a series of art works including those shown here. The concept evolves in parallel to this. Importantly, at each of her iterations of creative work, the author Jen determines a similar 'treatment' or 'interpretation' across both print artists works at that time. A synthesis of EJ and Robert's creative interpretation -- at a high level -- occurs. In this sense the concept and works can be understood to intersect with one another.

Artefact and iteration : circular entanglements

In this workshop proposal I discuss a case study physical computing environment named Talk2Me. This work was exhibited in February 2006 at The Block, Brisbane as an interactive installation in the early stages of its development. The major artefact in this work is a 10 metre wide X 3 metre high light-permeable white dome. There are other technologies and artefacts contained within the dome that make up this interactive environment. The dome artefact has impacted heavily on the design process, including shaping the types of interactions involved, the kinds of technologies employed, and the choice of other artefacts. In this workshop paper, I chart some of the various iterations Talk2Me has undergone in the design process.

The role of radiotherapy patients in provision of student interpersonal skills feedback

Background At Queensland University of Technology, student radiation therapists receive regular feedback from clinical staff relating to clinical interpersonal skills. Although this is of great value, there is anecdotal evidence that students communicate differently with patients when under observation. Purpose The aim of this pilot was to counter this perceived observer effect by allowing patients to provide students with additional feedback. Materials and methods Radiotherapy patients from two departments were provided with anonymous feedback forms relating to aspects of student interpersonal skills. Clinical assessors, mentors and students were also provided with feedback forms, including questions about the role of patient feedback. Patient perceptions of student performance were correlated with staff feedback and assessment scores. Results Results indicated that the feedback was valued by both students and patients. Students reported that the additional dimension focused them on communication, set goals for development and increased motivation. These changes derived from both feedback and study participation, suggesting that the questionnaires could be a useful teaching tool. Patients scored more generously than mentors, although there was agreement in relative grading. Conclusions The anonymous questionnaire is a convenient and valuable method of gathering patient feedback on students. Future iterations will determine the optimum timing for this method of feedback.

A speaker rediarization scheme for improving diarization in large two-speaker telephone datasets

In this paper we propose a novel scheme for carrying out speaker diarization in an iterative manner. We aim to show that the information obtained through the first pass of speaker diarization can be reused to refine and improve the original diarization results. We call this technique speaker rediarization and demonstrate the practical application of our rediarization algorithm using a large archive of two-speaker telephone conversation recordings. We use the NIST 2008 SRE summed telephone corpora for evaluating our speaker rediarization system. This corpus contains recurring speaker identities across independent recording sessions that need to be linked across the entire corpus. We show that our speaker rediarization scheme can take advantage of inter-session speaker information, linked in the initial diarization pass, to achieve a 30% relative improvement over the original diarization error rate (DER) after only two iterations of rediarization.

Evaluation of the Australian Performing Arts Market 2014-2018 - Year One Report

The Australia Council awarded the tender of APAMs 2014, 2016 and 2018 to the Brisbane Powerhouse. The Australia Council, in awarding the contract for the presentation of APAM by Brisbane Powerhouse, stipulated that a formal evaluation of the three iterations of APAM and activity in the intervening years be undertaken. Queensland University of Technology, Creative Industries Faculty, under the leadership of Associate Professor Sandra Gattenhof, were contracted to undertake the formal evaluation. This is the first year report on the Brisbane iteration of the Market. This report has drawn from data collected across a range of sources, drawing on the scoping study undertaken by Justin Macdonnell addressing the Market from 1994–2010; the tender document submitted by the Brisbane Powerhouse; in-person interviews with APAM staff, APAM Stakeholders, Vox Pops from delegates in response to individual sessions, producer company/artist case studies and, most significantly, responses from a detailed online survey sent to all delegates. The main body of the report is organised around three key research aims, as outlined in the Brisbane Powerhouse Tender document (2011). These have been articulated as: Evaluation of international market development outcomes through showcasing work to targeted international presenters and agents Evaluation of national market development outcomes through showcasing work to national presenters and producers Evaluation of the exchange ideas, dialogue, skill 
development, partnerships, collaborations and co- productions and networks with local and international peers. The culmination of the data analysis has been articulated through five key recommendations, which may assist the APAM delivery team for the next version, in 2016. In summary, the recommendations are described as: 1. Indigenous focus to remain central to the conception and delivery of APAM 2. Re-framing APAM’s function and its delivery 3. Logistics and communications in a multi-venue approach, including communications and housekeeping, volunteers, catering, re-calibrating the employment of Brisbane Powerhouse protocols and processes for APAM 4. Presentation and promotion for presenters 5. Strategic targeting of Asian producers.

Thrust allocation with linear constrained quadratic cost function

In this paper, a method of thrust allocation based on a linearly constrained quadratic cost function capable of handling rotating azimuths is presented. The problem formulation accounts for magnitude and rate constraints on both thruster forces and azimuth angles. The advantage of this formulation is that the solution can be found with a finite number of iterations for each time step. Experiments with a model ship are used to validate the thrust allocation system.

After Darkly Catwalk Design, QUT Fashion Graduate Showcase 2013

QUT Fashion collaborated with QUT Interior Design to design the Catwalk for the After Darkly Graduate Fashion Show 2013. The ephemeral work (catwalk canopy) was developed through a collaboration between the authors based upon an undergraduate interior design unit 'Filmic Interiors'. The unit exploited the potential of film to influence, understand, and develop novel interior spaces – particularly through consideration of mise en scene, cinematic effects and atmospheric design strategies engaged by key film directors. The design outcome represented a hybridisation of student design proposals, contemplating both film and emerging fashion collections from QUT fashion graduate class of 2013. The creative work built upon material experimentation research explored by the designers either through prior QUT interior design units ('Strange Spaces') or through previous practice ‘Making Strange’(1). The work explored a number of iterations each testing material qualities and associated immaterial cinematic affects. The final catwalk proposed a unique design, which posited the spectators centrally within the space, encircled by a hand formed flexible material canopy used as an entrance for the fashion collections. The proposal exploited the malleable yet tensile character of the canopy to inform a temporary installation, intensified further through a varied program of sceno-graphic lighting. (1) Lindquist, M. & Pytel, A. (2013)

Factors influencing robustness and effectiveness of conditional random fields in active learning frameworks

Active learning approaches reduce the annotation cost required by traditional supervised approaches to reach the same effectiveness by actively selecting informative instances during the learning phase. However, effectiveness and robustness of the learnt models are influenced by a number of factors. In this paper we investigate the factors that affect the effectiveness, more specifically in terms of stability and robustness, of active learning models built using conditional random fields (CRFs) for information extraction applications. Stability, defined as a small variation of performance when small variation of the training data or a small variation of the parameters occur, is a major issue for machine learning models, but even more so in the active learning framework which aims to minimise the amount of training data required. The factors we investigate are a) the choice of incremental vs. standard active learning, b) the feature set used as a representation of the text (i.e., morphological features, syntactic features, or semantic features) and c) Gaussian prior variance as one of the important CRFs parameters. Our empirical findings show that incremental learning and the Gaussian prior variance lead to more stable and robust models across iterations. Our study also demonstrates that orthographical, morphological and contextual features as a group of basic features play an important role in learning effective models across all iterations.

A Likelihood-Maximizing Framework for Enhanced In-Car Speech Recognition Based on Speech Dialog System Interaction

Speech recognition in car environments has been identified as a valuable means for reducing driver distraction when operating noncritical in-car systems. Under such conditions, however, speech recognition accuracy degrades significantly, and techniques such as speech enhancement are required to improve these accuracies. Likelihood-maximizing (LIMA) frameworks optimize speech enhancement algorithms based on recognized state sequences rather than traditional signal-level criteria such as maximizing signal-to-noise ratio. LIMA frameworks typically require calibration utterances to generate optimized enhancement parameters that are used for all subsequent utterances. Under such a scheme, suboptimal recognition performance occurs in noise conditions that are significantly different from that present during the calibration session – a serious problem in rapidly changing noise environments out on the open road. In this chapter, we propose a dialog-based design that allows regular optimization iterations in order to track the ever-changing noise conditions. Experiments using Mel-filterbank noise subtraction (MFNS) are performed to determine the optimization requirements for vehicular environments and show that minimal optimization is required to improve speech recognition, avoid over-optimization, and ultimately assist with semireal-time operation. It is also shown that the proposed design is able to provide improved recognition performance over frameworks incorporating a calibration session only.

Permanent shift: the topology of Didier Vermeiren's Cariatide à la Pierre

Photographic documentation of sculpture produces significant consequences for the way in which sculptural space is conceived. When viewed as discrete mediums the interaction of the photograph and its sculptural subject is always framed by notions of loss. However, when taken as a composite system, the sculpture-photograph proposes a new ontology of space. In place of the fixity of medium, we can observe a topology at play: a theory drawn from mathematics in which space is understood not as a static field but in terms of properties of connectedness, movement and differentiation. Refracted through the photographic medium, sculpture becomes not a field of fixed points in space, but rather as a fluid set of relations - a continuous sequence of multiple ‘surfaces’, a network of shifting views. This paper will develop a topological account of studio practice through an examination of the work of the contemporary Belgian sculptor Didier Vermeiren (b. 1951). Since the 1980s, Vermeiren has made extensive use of photography in his sculptural practice. By analysing a series of iterations of his work Cariatide à la Pierre (1997-1998), this paper proposes that Vermeiren’s use of photography reveals patterns of connection that expand and complicate the language of sculpture, while also emphasising the broader topology of the artist’s practice as a network of ‘backward glances’ to previous works from the artist’s oeuvre and the art-historical canon. In this context, photography is not simply a method of documentation, but rather a means of revealing the intrinsic condition of sculpture as medium shaped by dynamic patterns of connection and change. In Vermeiren’s work the sculpture-photograph, has a composite identity that exceeds straightforward categories of medium. In their place, we can observe a practice based upon the complex interactions of objects whose ontology is always underpinned by a certain contingency. It is in this fundamental mobility, that the topology of Vermeiren’s practice can be said to rest.

An improved computational method in structural dynamics

Purpose – In structural, earthquake and aeronautical engineering and mechanical vibration, the solution of dynamic equations for a structure subjected to dynamic loading leads to a high order system of differential equations. The numerical methods are usually used for integration when either there is dealing with discrete data or there is no analytical solution for the equations. Since the numerical methods with more accuracy and stability give more accurate results in structural responses, there is a need to improve the existing methods or develop new ones. The paper aims to discuss these issues. Design/methodology/approach – In this paper, a new time integration method is proposed mathematically and numerically, which is accordingly applied to single-degree-of-freedom (SDOF) and multi-degree-of-freedom (MDOF) systems. Finally, the results are compared to the existing methods such as Newmark’s method and closed form solution. Findings – It is concluded that, in the proposed method, the data variance of each set of structural responses such as displacement, velocity, or acceleration in different time steps is less than those in Newmark’s method, and the proposed method is more accurate and stable than Newmark’s method and is capable of analyzing the structure at fewer numbers of iteration or computation cycles, hence less time-consuming. Originality/value – A new mathematical and numerical time integration method is proposed for the computation of structural responses with higher accuracy and stability, lower data variance, and fewer numbers of iterations for computational cycles.

Evaluation of Australian Performing Arts Market 2014-2018: APAM inter-year report 2015

In the awarding of the tender for APAM by the Australia Council to Brisbane Powerhouse for the delivery of the market in 2014-2018, a requirement is that a formal evaluation of the three iterations of APAM be undertaken by the Queensland University of Technology, Creative Industries Faculty, under the leadership of Associate Professor Sandra Gattenhof. The agreed research model delivers reporting on outcomes not only in the year in which APAM is delivered (2014, 2016, 2018) but also in the years between (2015, 2017). This inter-year report focuses on the domestic and international touring outcomes resulting from engagement in the 2014 Market and responds two of the three key research foci for the evaluation that are articulated in the Brisbane Powerhouse Tender (2011) document as: • Evaluation of international market development outcomes through showcasing work to targeted international presenters and agents • Evaluation of national market development outcomes through showcasing work to national presenters and producers. The reporting for mid-year 2015, a non-APAM year, collects data from two key sources – six identified case study productions that have been tracked for eighteen months, and an online survey delivered to all APAM 2014 delegates. This inter-year report is a six month follow-up with delegates and identified case studies companies that track the ongoing progress of market outcomes and levers for ongoing improvement of the APAM delivery model that was tabled in the Year One Report delivered to Brisbane Powerhouse in October 2014.

SPSA Based Feature Relevance Estimation For Video Retrieval

With the availability of a huge amount of video data on various sources, efficient video retrieval tools are increasingly in demand. Video being a multi-modal data, the perceptions of ``relevance'' between the user provided query video (in case of Query-By-Example type of video search) and retrieved video clips are subjective in nature. We present an efficient video retrieval method that takes user's feedback on the relevance of retrieved videos and iteratively reformulates the input query feature vectors (QFV) for improved video retrieval. The QFV reformulation is done by a simple, but powerful feature weight optimization method based on Simultaneous Perturbation Stochastic Approximation (SPSA) technique. A video retrieval system with video indexing, searching and relevance feedback (RF) phases is built for demonstrating the performance of the proposed method. The query and database videos are indexed using the conventional video features like color, texture, etc. However, we use the comprehensive and novel methods of feature representations, and a spatio-temporal distance measure to retrieve the top M videos that are similar to the query. In feedback phase, the user activated iterative on the previously retrieved videos is used to reformulate the QFV weights (measure of importance) that reflect the user's preference, automatically. It is our observation that a few iterations of such feedback are generally sufficient for retrieving the desired video clips. The novel application of SPSA based RF for user-oriented feature weights optimization makes the proposed method to be distinct from the existing ones. The experimental results show that the proposed RF based video retrieval exhibit good performance.

Energy-momentum conserving algorithm for nonlinear transient analysis within the framework of hybrid elements

This work deals with the formulation and implementation of an energy-momentum conserving algorithm for conducting the nonlinear transient analysis of structures, within the framework of stress-based hybrid elements. Hybrid elements, which are based on a two-field variational formulation, are much less susceptible to locking than conventional displacement-based elements within the static framework. We show that this advantage carries over to the transient case, so that not only are the solutions obtained more accurate, but they are obtained in fewer iterations. We demonstrate the efficacy of the algorithm on a wide range of problems such as ones involving dynamic buckling, complicated three-dimensional motions, et cetera.

Induced smoothing for rank regression with censored survival times

Adaptions of weighted rank regression to the accelerated failure time model for censored survival data have been successful in yielding asymptotically normal estimates and flexible weighting schemes to increase statistical efficiencies. However, for only one simple weighting scheme, Gehan or Wilcoxon weights, are estimating equations guaranteed to be monotone in parameter components, and even in this case are step functions, requiring the equivalent of linear programming for computation. The lack of smoothness makes standard error or covariance matrix estimation even more difficult. An induced smoothing technique overcame these difficulties in various problems involving monotone but pure jump estimating equations, including conventional rank regression. The present paper applies induced smoothing to the Gehan-Wilcoxon weighted rank regression for the accelerated failure time model, for the more difficult case of survival time data subject to censoring, where the inapplicability of permutation arguments necessitates a new method of estimating null variance of estimating functions. Smooth monotone parameter estimation and rapid, reliable standard error or covariance matrix estimation is obtained.