743 resultados para multi-media campaign
Resumo:
Capacity of current and future high data rate wireless communications depend significantly on how well changes in the wireless channel are predicted and tracked. Generally, this can be estimated by transmitting known symbols. However, this increases overheads if the channel varies over time. Given today’s bandwidth demand and the increased necessity for mobile wireless devices, the contributions of this research are very significant. This study has developed a novel and efficient channel tracking algorithm that can recursively update the channel estimation for wireless broadband communications reducing overheads, therefore increasing the speed of wireless communication systems.
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This thesis presents an analysis of the resource allocation problem in Orthogonal Frequency Division Multiplexing based multi-hop wireless communications systems. The study analyzed the tractable nature of the problem and designed several heuristic and fairness-aware resource allocation algorithms. These algorithms are fast and efficient and therefore can improve power management in wireless systems significantly.
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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.
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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.
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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.
Resumo:
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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.