Risk taking in Extreme Sports: A phenomenological perspective

Participation in extreme sports is enjoying incredible growth while more traditional recreational activities such as golf are struggling to maintain numbers. Theoretical perspectives on extreme sports and extreme sport participants have assumed that participation is about risk-taking. However, these theory-driven methodologies may reflect judgments that do not necessarily relate to participants' lived experience. In this paper I review current risk-oriented perspectives on extreme sports and present research findings that question this assumed relationship between extreme sports and risk and thus reposition the experience in a hitherto unexplored manner. Risk taking is not the focus. Participants acknowledge that the potential outcome of a mismanaged mistake or accident could be death. However, accepting this potential outcome does not mean that they search for risk. Participants argue that many everyday life events (e.g., driving) are high-risk events. Participants undertake detailed preparation in order to minimise the possibility of negative outcomes because extreme sports trigger a range of positive experiential outcomes. The study is significant as it followed a hermeneutic phenomenological process which did not presuppose a risk-taking orientation. Hermeneutic phenomenology allows for a multitude of data sources including interviews (10 male and 5 female extreme sports participants, ages 30 to 72 years), auto-biographies, videos and other firsthand accounts. This process allowed this unexpected perspective to emerge more clearly.

Multi-step ahead direct prediction for the machine condition prognosis using regression trees and neuro-fuzzy systems

This paper presents an approach to predict the operating conditions of machine based on classification and regression trees (CART) and adaptive neuro-fuzzy inference system (ANFIS) in association with direct prediction strategy for multi-step ahead prediction of time series techniques. In this study, the number of available observations and the number of predicted steps are initially determined by using false nearest neighbor method and auto mutual information technique, respectively. These values are subsequently utilized as inputs for prediction models to forecast the future values of the machines’ operating conditions. The performance of the proposed approach is then evaluated by using real trending data of low methane compressor. A comparative study of the predicted results obtained from CART and ANFIS models is also carried out to appraise the prediction capability of these models. The results show that the ANFIS prediction model can track the change in machine conditions and has the potential for using as a tool to machine fault prognosis.

Leaving home for the party on the roof : Brisbane music and musicians

It lies 27°S of the Equator, wrapped uneasily around a wide, muddy river. Three years ago, Brisbane was identified by Billboard Magazine as one of six “hot spots” of independent music in the world. A place to watch. Someone turned a torch on this town, had a quick look, moved on. But this town has always had music in it. Some of it made by me. So, I’m taking my connection with this town, the music and the people, and working it into a contextual historical analysis of the creative lives of Brisbane musicians, and by extension, of Brisbane’s music and Brisbane itself. Talking about what music means to us, how it figures in our lives, and considering the notion, among other factors, of ‘place’ in both our creative practice and creative output. This paper offers an analysis of a particular auto/ethnographic method. How lives are organized and intensified by sounds made and heard in particular social and geographic settings. How music can be the thread which, when pulled, unravels stories, reveals certain truths about musicians and their relationships to one another, to family, to place and to their work.

Particulate texture image analysis with applications

Texture analysis and textural cues have been applied for image classification, segmentation and pattern recognition. Dominant texture descriptors include directionality, coarseness, line-likeness etc. In this dissertation a class of textures known as particulate textures are defined, which are predominantly coarse or blob-like. The set of features that characterise particulate textures are different from those that characterise classical textures. These features are micro-texture, macro-texture, size, shape and compaction. Classical texture analysis techniques do not adequately capture particulate texture features. This gap is identified and new methods for analysing particulate textures are proposed. The levels of complexity in particulate textures are also presented ranging from the simplest images where blob-like particles are easily isolated from their back- ground to the more complex images where the particles and the background are not easily separable or the particles are occluded. Simple particulate images can be analysed for particle shapes and sizes. Complex particulate texture images, on the other hand, often permit only the estimation of particle dimensions. Real life applications of particulate textures are reviewed, including applications to sedimentology, granulometry and road surface texture analysis. A new framework for computation of particulate shape is proposed. A granulometric approach for particle size estimation based on edge detection is developed which can be adapted to the gray level of the images by varying its parameters. This study binds visual texture analysis and road surface macrotexture in a theoretical framework, thus making it possible to apply monocular imaging techniques to road surface texture analysis. Results from the application of the developed algorithm to road surface macro-texture, are compared with results based on Fourier spectra, the auto- correlation function and wavelet decomposition, indicating the superior performance of the proposed technique. The influence of image acquisition conditions such as illumination and camera angle on the results was systematically analysed. Experimental data was collected from over 5km of road in Brisbane and the estimated coarseness along the road was compared with laser profilometer measurements. Coefficient of determination R2 exceeding 0.9 was obtained when correlating the proposed imaging technique with the state of the art Sensor Measured Texture Depth (SMTD) obtained using laser profilometers.

It’s not me, it’s you : a participant observation case study of the self-publishing musician in the 21st century

This thesis explores the business environment for self-publishing musicians at the end of the 20th century and the start of the 21st century from theoretical and empirical standpoints. The exploration begins by asking three research questions: what are the factors affecting the sustainability of an Independent music business; how many of those factors can be directly influenced by an Independent musician in the day-to-day operations of their musical enterprise; and how can those factors be best manipulated to maximise the benefit generated from digital music assets? It answers these questions by considering the nature of value in the music business in light of theories of political economy, then quantitative and qualitative examinations of the nature of participation in the music business, and then auto-ethnographic approaches to the application of two technologically enabled tools available to Independent musicians. By analyzing the results of five different examinations of the topic it answers each research question with reference to four sets of recurring issues that affect the operations of a 21st century music business: the musicians’ personal characteristics, their ability to address their business’s informational needs; their ability to manage the relationships upon which their business depends; and their ability to resolve the remaining technological problems that confront them. It discusses ways in which Independent self-publishing musicians can and cannot deal with these four issues on a day-to-day basis and highlights aspects for which technological solutions do not exist as well as ways in which technology is not as effective as has been claimed. It then presents a self-critique and proposes some directions for further study before concluding by suggesting some common features of 21st century Independent music businesses. This thesis makes three contributions to knowledge. First, it provides a new understanding of the sources of musical value, shows how this explains changes in the music industries over the past 30 years, and provides a framework for predicting future developments in those industries. Second, it shows how the technological discontinuity that has occurred around the start of the 21st century has and has not affected the production and distribution of digital cultural artefacts and thus the attitudes, approaches, and business prospects of Independent musicians. Third, it argues for new understandings of two methods by which self-publishing musicians can grow a business using production methods that are only beginning to be more broadly understood: home studio recording and fan-sourced production. Developed from the perspective of working musicians themselves, this thesis identifies four sets of issues that determine the probable success of musicians’ efforts to adopt new technologies to capture the value of the musicians’ creativity and thereby foster growth that will sustain an Independent music business in the 21st century.