Telling tales, shaping stories : the creative practitioner and the artful life story

Norman K. Denzin (1989) claims that the central assumption of the biographical method—that a life can be captured and represented in a text—is open to question. This paper explores Denzin’s statement by documenting the role of creative writers in re-presenting oral histories in two case studies from Queensland, Australia. The first, The Queensland Business Leaders Hall of Fame, was a commercial research project commissioned by the State Library of Queensland (SLQ) in 2009, and involved semi-formal qualitative interviews and digital stories. The second is an on-going practice-led PhD project, The Artful Life: Oral History and Fiction, which investigates the fictionalisation of oral histories. Both projects enter into a dialogue around the re-presentation of oral and life histories, with attention given to the critical scholarship and creative practice in the process. Creative writers represent a life having particular preoccupations with techniques that more closely align with fiction than non-fiction (Hirsch and Dixon 2008). In this context, oral history resources are viewed not so much as repositories of historical facts, but as ambiguous and fluid narrative sources. The comparison of the two case studies also demonstrates that the aims of a particular project dictate the nature of the re-presentation, revealing that writing about another’s life is a complex act of artful ‘shaping’. Alistair Thomson (2007) notes the growing interdisciplinary nature of oral history scholarship since the 1980s; oral histories are used increasingly in art-based contexts to produce diverse cultural artefacts, such as digital stories and works of fiction, which are very different from traditional histories. What are the methodological implications of such projects? This paper will draw on self-reflexive practice to explore this question.

Pondering policy and parental perspectives : how parents view their role in shaping early childhood public policy

The focus of this paper is the role of Australian parents in early childhood education and care (ECEC), in particular, their role in shaping ECEC public policy. The paper reports the findings of a study investigating the different ways in which a group of parents viewed and experienced this role. Set against a policy backdrop where parents are positioned as 'consumers' and 'participants' in ECEC, the study employed a phenomenographic research approach to describe this role as viewed and experienced by parents. The study identified four logically related, qualitatively different ways of constituting this role among this group of parents, ranging from 'no role in shaping public policy' (the no role conception) to 'participating in policy decision-making, particularly where policy was likely to affect their child and family (the participating in policy decision-making conception). The study provides an insider-perspective on the role of parents in shaping policy and highlights variation in how this role is constituted by parents. The study also identifies factors perceived by parents as influencing their participation and discusses their implications for both policy and practice.

Governing depression in law students and the shaping of legal personae

Since a recent Australian study found that university law students experience higher rates of depression than medical students and legal professionals (Kelk et al. 2009), the mental health of law students has increasingly become a target of government. To date, however, there has been no attempt to analyse these practices as an activity of government in advanced liberal societies. This paper addresses this imbalance by providing an initial analytics of the government of depression in law schools. It demonstrates how students are responsibilised to manage the risks and uncertainties of legal education by constructing resilient forms of personal and professional personae. It highlights that, in order to avoid depression, students are encouraged to shape not just their minds and bodies according to psychological and biomedical discourses, but are also to govern their ethical dispositions and become virtuous persons. This paper also argues that these forms of government are tied to advanced liberal forms of rule, as they position the law student as the locus of responsibility for depression, imply that depression is caused by an individual failing, and entrench students within responsibilising and entrepreneurial forms of subjectivity.

The shaping of midlife women's views of health and health behaviors

The menopausal transition is a marker of aging for women and a time when health professionals urge women to prevent disease. In this research we adopted a constructivist, inductive approach in exploring how and why midlife women think about health in general, about being healthy, and about factors that influence engaging in healthy behaviors. The sample constituted 23 women who had participated in a women’s wellness program intervention trial and subsequent interviews. The women described lives of healthy eating and exercise, yet, their perceptions of health and healthy behavior at midlife contradicted that history. Midlife was associated with risk and guilt at not doing enough to be healthy. Health professionals provided a very limited frame within which to judge what is healthy. Mostly this was left up to individual women. Those who were successful framed health as “being able to do what you want to do when you want to do it.” In this article we present study findings of how meanings attached to health and being healthy were constructed through social expectations, family relationships, and life experiences.

Evaluation of spectral and texture features for object-based vegetation species classification using Support Vector Machines

The use of appropriate features to characterize an output class or object is critical for all classification problems. This paper evaluates the capability of several spectral and texture features for object-based vegetation classification at the species level using airborne high resolution multispectral imagery. Image-objects as the basic classification unit were generated through image segmentation. Statistical moments extracted from original spectral bands and vegetation index image are used as feature descriptors for image objects (i.e. tree crowns). Several state-of-art texture descriptors such as Gray-Level Co-Occurrence Matrix (GLCM), Local Binary Patterns (LBP) and its extensions are also extracted for comparison purpose. Support Vector Machine (SVM) is employed for classification in the object-feature space. The experimental results showed that incorporating spectral vegetation indices can improve the classification accuracy and obtained better results than in original spectral bands, and using moments of Ratio Vegetation Index obtained the highest average classification accuracy in our experiment. The experiments also indicate that the spectral moment features also outperform or can at least compare with the state-of-art texture descriptors in terms of classification accuracy.

Shaping and re-shaping social capital in buyer-supplier relationships

Social capital plays an important role in explaining how value is created from firms' network relationships, but little is understood about how social capital is shaped over time and how it is re-shaped when firms consolidate their network ties. In response, this study explores the evolution of social capital in buyer–supplier relationships through a case study of a company undertaking radical product innovation, and examines the corresponding changes in the firm's network of buyer–supplier relationships. The analysis shows that social capital is built in a decidedly non-linear and non-uniform manner. The study also reveals considerable interaction among the dimensions of social capital throughout the evolution of the firm's network, and emphasizes the importance of the cognitive dimension—a feature receiving little attention thus far. The evidence shows, too, that efforts to strengthen social capital need to increase when network ties are sacrificed to prevent unintended consequences for firms' longer-term value creation.

A biologically inspired object spectral-texture descriptor and its application to vegetation classification in power-line corridors

The use of appropriate features to represent an output class or object is critical for all classification problems. In this paper, we propose a biologically inspired object descriptor to represent the spectral-texture patterns of image-objects. The proposed feature descriptor is generated from the pulse spectral frequencies (PSF) of a pulse coupled neural network (PCNN), which is invariant to rotation, translation and small scale changes. The proposed method is first evaluated in a rotation and scale invariant texture classification using USC-SIPI texture database. It is further evaluated in an application of vegetation species classification in power line corridor monitoring using airborne multi-spectral aerial imagery. The results from the two experiments demonstrate that the PSF feature is effective to represent spectral-texture patterns of objects and it shows better results than classic color histogram and texture features.

Digital signal processing

Signal Processing (SP) is a subject of central importance in engineering and the applied sciences. Signals are information-bearing functions, and SP deals with the analysis and processing of signals (by dedicated systems) to extract or modify information. Signal processing is necessary because signals normally contain information that is not readily usable or understandable, or which might be disturbed by unwanted sources such as noise. Although many signals are non-electrical, it is common to convert them into electrical signals for processing. Most natural signals (such as acoustic and biomedical signals) are continuous functions of time, with these signals being referred to as analog signals. Prior to the onset of digital computers, Analog Signal Processing (ASP) and analog systems were the only tool to deal with analog signals. Although ASP and analog systems are still widely used, Digital Signal Processing (DSP) and digital systems are attracting more attention, due in large part to the significant advantages of digital systems over the analog counterparts. These advantages include superiority in performance,s peed, reliability, efficiency of storage, size and cost. In addition, DSP can solve problems that cannot be solved using ASP, like the spectral analysis of multicomonent signals, adaptive filtering, and operations at very low frequencies. Following the recent developments in engineering which occurred in the 1980's and 1990's, DSP became one of the world's fastest growing industries. Since that time DSP has not only impacted on traditional areas of electrical engineering, but has had far reaching effects on other domains that deal with information such as economics, meteorology, seismology, bioengineering, oceanology, communications, astronomy, radar engineering, control engineering and various other applications. This book is based on the Lecture Notes of Associate Professor Zahir M. Hussain at RMIT University (Melbourne, 2001-2009), the research of Dr. Amin Z. Sadik (at QUT & RMIT, 2005-2008), and the Note of Professor Peter O'Shea at Queensland University of Technology. Part I of the book addresses the representation of analog and digital signals and systems in the time domain and in the frequency domain. The core topics covered are convolution, transforms (Fourier, Laplace, Z. Discrete-time Fourier, and Discrete Fourier), filters, and random signal analysis. There is also a treatment of some important applications of DSP, including signal detection in noise, radar range estimation, banking and financial applications, and audio effects production. Design and implementation of digital systems (such as integrators, differentiators, resonators and oscillators are also considered, along with the design of conventional digital filters. Part I is suitable for an elementary course in DSP. Part II (which is suitable for an advanced signal processing course), considers selected signal processing systems and techniques. Core topics covered are the Hilbert transformer, binary signal transmission, phase-locked loops, sigma-delta modulation, noise shaping, quantization, adaptive filters, and non-stationary signal analysis. Part III presents some selected advanced DSP topics. We hope that this book will contribute to the advancement of engineering education and that it will serve as a general reference book on digital signal processing.