Weibo, framing, and media practices in China

This study uses frames analysis to investigate online discourses and processes of political deliberation on China’s weibo (microblog) service. It offers a comparative analysis of competing discourses surrounding the case of Wang Yue, a toddler who was ran over by two motor vehicles in Foshan, following which eighteen people passed by and ignored her plight. The study aims to understand how weibo facilitate its users to express their differences and deliberate disagreements with each other. The study found that Internet users are rational in the sense that they do not simply lean towards a dichotomised choice of ‘pro-’ or ‘anti-’ official discourse, but they are able to negotiate their moral choices by considering a wide range of social and political factors in such an emotional and morally controversial incident.

The detection of incipient faults in small multi-cylinder diesel engines using multiple acoustic emission sensors

This thesis investigates condition monitoring (CM) of diesel engines using acoustic emission (AE) techniques. The AE signals recorded from a small size diesel engine are mixtures of multiple sources from multiple cylinders. Thus, it is difficult to interpret the information conveyed in the signals for CM purposes. This thesis develops a series of practical signal processing techniques to overcome this problem. Various experimental studies conducted to assess the CM capabilities of AE analysis for diesel engines. A series of modified signal processing techniques were proposed. These techniques showed promising results of capability for CM of multiple cylinders diesel engine using multiple AE sensors.

Distance education and the application of academagogy : a case study

The education sector has dramatically changed in the past half decade. In a time of globalisation of education and tightening budgets, various paradigm shifts and challenges have rapidly changed learning and teaching. These include: meeting student expectation for more engaging, more interactive learning experiences, the increased focus to deliver content online, and the complexities of fast-changing technologies. Rising to these challenges and responding to them is a complex and multi-faceted task. This paper discusses educational theories and issues and explores current educational practices in the context of teaching undergraduate students via distance education in the university context. A case study applies a framework drawn from engineering education using the learner-centric concept of academagogy. Results showed that academagogy actively empowers students to build effective learning, and engages facilitators in meaningful teaching and delivery methods.

Networked masculinities and social networking sites : a call for the analysis of men and contemporary digital media

It is of course recognised that technology can be gendered and implicated in gender relations. However, it continues to be the case that men’s experiences with technology are underexplored and the situation is even more problematic where digital media is concerned. Over the past 30 years we have witnessed a dramatic rise in the pervasiveness of digital media across many parts of the world and as associated with wide ranging aspects of our lives. This rise has been fuelled over the last decade by the emergence of Web 2.0 and particularly Social Networking Sites (SNS). Given this context, I believe it is necessary for us to undertake more work to understand men’s engagements with digital media, the implications this might have for masculinities and the analysis of gender relations more generally. To begin to unpack this area, I engage theorizations of the properties of digital media networks and integrate this with the masculinity studies field. Using this framework, I suggest we need to consider the rise in what I call networked masculinities – those masculinities (co)produced and reproduced with digitally networked publics. Through this analysis I discuss themes related to digital mediators, relationships, play and leisure, work and commerce, and ethics. I conclude that as masculinities can be, and are being, complicated and given agency by advancing notions and practices of connectivity, mobility, classification and convergence, those engaged with masculinity studies and digital media have much to contribute.

Children and information communication technologies in the media : a study using moral panic theory

This thesis is an investigation of the media's representation of children and ICT. The study draws on moral panic theory and Queensland newspaper media, to identify the impact of newspaper reporting on the public's perceptions of young people and ICT.

Community media 2.0 : a report from the 'Co-Creative Communities' forum

Participatory digital culture presents major challenges to all traditional media outlets, but it presents very direct challenges to the community broadcast sector, which was established from the outset as local, community-driven and participatory. These and other issues were the focus of a recent forum at the Australian Centre for the Moving Image in Melbourne (Co-Creative Communities, 8–9 November 2012). The forum was part of a national research project, which has been exploring how Australian community arts and media organisations are responding to participatory digital culture, social media and user-led innovation. Focusing on the organisations who presented at the symposium, the paper examines how community-interest media is making the most of new and social media platforms. It considers examples of participatory digital media that have emerged from the community broadcast sector, but it also considers local, collaborative, community-interest media projects developed by public broadcasters and organisations involved in arts, social justice and development. Drawing on forum transcripts and follow-up research the essay describes some of the key trends shaping how community-interest media organisations and independent producers are working with participatory digital culture, and with what success.

A flexible protection scheme for an islanded Multi-Microgrid

Multi-Microgrids (MMGs) have been proposed to connect distributed generators (DG), microgrids (MG), and medium-voltage (MV) loads with the distribution system. A flexible protection scheme that enables an islanded MMG to continue operation during fault conditions is yet to be developed. In this paper, a protection scheme for an islanded MMG that utilises MG controllers and communication links is proposed. The MMG model used includes two MGs connected to the distribution system. Each MG consists of diesel, wind, and photovoltaic (PV) microsources. The effectiveness of the proposed protection scheme is evaluated by simulation.

Multi-criteria optimization of group replacement schedules for distributed water pipeline assets

This thesis presents a multi-criteria optimisation study of group replacement schedules for water pipelines, which is a capital-intensive and service critical decision. A new mathematical model was developed, which minimises total replacement costs while maintaining a satisfactory level of services. The research outcomes are expected to enrich the body of knowledge of multi-criteria decision optimisation, where group scheduling is required. The model has the potential to optimise replacement planning for other types of linear asset networks resulting in bottom-line benefits for end users and communities. The results of a real case study show that the new model can effectively reduced the total costs and service interruptions.

Grand tours in the glare of the sun : harnessing digital media to develop cultural tourism in Queensland, Australia

It has been well established that highlighting the cultural attributes of a region through stories of place, local histories, and the creative arts boosts tourism income to a region. Cultural tourism also serves to promote the creative industries to visitors and residents alike and, by enhancing a region’s cultural identity, fosters new opportunities for the arts. It can therefore offer considerable potential benefit to the creative economy in Australia. However, in comparison with Europe, where cultural tourism can rely upon an established historical, artistic and literary cultural identity that stretches back to Grand Tours of the seventeenth century, in Queensland, Australia the relatively new enterprise of cultural tourism must compete with visitor expectations of sun, surf and the natural landscapes, which have become the mainstay of tourism advertising. Moreover, in Queensland, it is essential to connect vast distances, diverse communities and a variety of cultural experiences. We must also take account of the expectations of contemporary tourists, who anticipate a digitally mediated travel experience and increasingly seek to connect with local communities in authentic ways. In this paper we consider the unique considerations that must be taken into account in the Queensland context and propose approaches to developing an integrated identity that embraces both the ‘great outdoors’ and the region’s cultural attributes. We make recommendations for providing the types of digitally mediated ‘local’ experiences that cultural tourists now expect, and illustrate the design principles we propose through early, tentative approaches to smart phones, locative media and augmented reality applications for cultural tourism in the region. We conclude by proposing additional ways to formulate a digital strategy in line with the recommendations we make.

Interestingness Measures for Multi-Level Association Rules

Association rule mining is one technique that is widely used when querying databases, especially those that are transactional, in order to obtain useful associations or correlations among sets of items. Much work has been done focusing on efficiency, effectiveness and redundancy. There has also been a focusing on the quality of rules from single level datasets with many interestingness measures proposed. However, with multi-level datasets now being common there is a lack of interestingness measures developed for multi-level and cross-level rules. Single level measures do not take into account the hierarchy found in a multi-level dataset. This leaves the Support-Confidence approach, which does not consider the hierarchy anyway and has other drawbacks, as one of the few measures available. In this chapter we propose two approaches which measure multi-level association rules to help evaluate their interestingness by considering the database’s underlying taxonomy. These measures of diversity and peculiarity can be used to help identify those rules from multi-level datasets that are potentially useful.

A survey of user modelling in social media websites

With the widespread of social media websites in the internet, and the huge number of users participating and generating infinite number of contents in these websites, the need for personalisation increases dramatically to become a necessity. One of the major issues in personalisation is building users’ profiles, which depend on many elements; such as the used data, the application domain they aim to serve, the representation method and the construction methodology. Recently, this area of research has been a focus for many researchers, and hence, the proposed methods are increasing very quickly. This survey aims to discuss the available user modelling techniques for social media websites, and to highlight the weakness and strength of these methods and to provide a vision for future work in user modelling in social media websites.

Autonomous movement-driven place recognition calibration for generic multi-sensor robot platforms

In this paper we present a method for autonomously tuning the threshold between learning and recognizing a place in the world, based on both how the rodent brain is thought to process and calibrate multisensory data and the pivoting movement behaviour that rodents perform in doing so. The approach makes no assumptions about the number and type of sensors, the robot platform, or the environment, relying only on the ability of a robot to perform two revolutions on the spot. In addition, it self-assesses the quality of the tuning process in order to identify situations in which tuning may have failed. We demonstrate the autonomous movement-driven threshold tuning on a Pioneer 3DX robot in eight locations spread over an office environment and a building car park, and then evaluate the mapping capability of the system on journeys through these environments. The system is able to pick a place recognition threshold that enables successful environment mapping in six of the eight locations while also autonomously flagging the tuning failure in the remaining two locations. We discuss how the method, in combination with parallel work on autonomous weighting of individual sensors, moves the parameter dependent RatSLAM system significantly closer to sensor, platform and environment agnostic operation.

Next generation filmmaking and media arts in the Australian curriculum

Media education has been included as a mandatory component of the Arts within the new Australian national curriculum, which purports to set out a framework that encompasses core knowledge, understanding and skills critical to twenty-first century learning. This will position Australia as the only country to require media education as a compulsory aspect of Arts education and one of the first to implement a sequenced national media education curriculum from pre-school to year 12. A broad framework has been outlined for what the Media Arts curriculum will encompass and in this article we investigate the extent to which this framework is likely to provide media educators the opportunity to broaden the scope of established media education to effectively educate students about the ever-changing nature of media ecologies. The article outlines significant shifts occurring in the film and television industries to identify the types of knowledge students may need to understand these changes. This is followed by an analysis of existing state-based media curricula offered at years 11 and 12 in Australia to demonstrate that the concepts of institutions and audiences are not currently approached in ways that reflect contemporary media ecologies.

Optimal camera planning under versatile user constraints in multi-camera image processing systems

The selection of optimal camera configurations (camera locations, orientations, etc.) for multi-camera networks remains an unsolved problem. Previous approaches largely focus on proposing various objective functions to achieve different tasks. Most of them, however, do not generalize well to large scale networks. To tackle this, we propose a statistical framework of the problem as well as propose a trans-dimensional simulated annealing algorithm to effectively deal with it. We compare our approach with a state-of-the-art method based on binary integer programming (BIP) and show that our approach offers similar performance on small scale problems. However, we also demonstrate the capability of our approach in dealing with large scale problems and show that our approach produces better results than two alternative heuristics designed to deal with the scalability issue of BIP. Last, we show the versatility of our approach using a number of specific scenarios.

Fault symptoms of rolling element bearings under variable operating conditions - a multi domain analysis

Diagnostics of rolling element bearings have been traditionally developed for constant operating conditions, and sophisticated techniques, like Spectral Kurtosis or Envelope Analysis, have proven their effectiveness by means of experimental tests, mainly conducted in small-scale laboratory test-rigs. Algorithms have been developed for the digital signal processing of data collected at constant speed and bearing load, with a few exceptions, allowing only small fluctuations of these quantities. Owing to the spreading of condition based maintenance in many industrial fields, in the last years a need for more flexible algorithms emerged, asking for compatibility with highly variable operating conditions, such as acceleration/deceleration transients. This paper analyzes the problems related with significant speed and load variability, discussing in detail the effect that they have on bearing damage symptoms, and propose solutions to adapt existing algorithms to cope with this new challenge. In particular, the paper will i) discuss the implication of variable speed on the applicability of diagnostic techniques, ii) address quantitatively the effects of load on the characteristic frequencies of damaged bearings and iii) finally present a new approach for bearing diagnostics in variable conditions, based on envelope analysis. The research is based on experimental data obtained by using artificially damaged bearings installed on a full scale test-rig, equipped with actual train traction system and reproducing the operation on a real track, including all the environmental noise, owing to track irregularity and electrical disturbances of such a harsh application.