98 resultados para extended essay

em Deakin Research Online - Australia


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Provisioning of real-time multimedia sessions over wireless cellular network poses unique challenges due to frequent handoff and rerouting of a connection. For this reason, the wireless networks with cellular architecture require efficient user mobility estimation and prediction. This paper proposes using Robust Extended Kalman Filter as a location heading altitude estimator of mobile user for next cell prediction in order to improve the connection reliability and bandwidth efficiency of the underlying system. Through analysis we demonstrate that our algorithm reduces the system complexity (compared to existing approach using pattern matching and Kalman filter) as it requires only two base station measurements or only the measurement from the closest base station. Further, the technique is robust against system uncertainties due to inherent deterministic nature in the mobility model. Through simulation, we show the accuracy and simplicity in implementation of our prediction algorithm.

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In this paper, we proposed a Data Translation model which potentially is a major promising web service of the next generation world wide web. This technique is somehow analogy to the technique of traditional machine translation but it is far beyond what we understand about machine translation in the past and nowadays in terms of the scope and the contents. To illustrate the new concept of web services based data translation, a multilingual machine translation electronic dictionary system and its web services based model including generic services, multilingual translation services are presented. This proposed data translation model aims at achieving better web services in easiness, convenience, efficiency, and higher accuracy, scalability, self-learning, self-adapting.

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This paper proposes an extended negative selection algorithm for anomaly detection. Unlike previously proposed negative selection algorithms which do not make use of non-self data, the extended negative selection algorithm first acquires prior knowledge about the characteristics of the Problem space from the historial sample data by using machine learning techniques. Such data consists of both self data and non-self data. The acquired prior knowledge is represented in the form of production rules and thus viewed as common schemata which characterise the two subspaces: self-subspace and non-self-subspace, and provide important information to the generation of detection rules. One advantage of our approach is that it does not rely on the structured representation of the data and can be applied to general anomaly detection. To test the effectiveness, we test our approach through experiments with the public data set iris and KDDrsquo99 published data set.

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Against the background of the recent international trend of a greater reliance on deterrence measures in managing the flow of asylum seekers, this paper discusses the implementation of the temporary protection visa (TPV) in Australia. It focuses on the psychological impact of the TPV policy on individual asylum seekers and how this unlimited temporary status affects the overall process of settlement. This study is based on personal narratives constructed by individual asylum seekers during one-on-one interviews aimed at sketching the mental and psychological manifestations of stressful events in their lives as TPV holders. What is particularly revealing among many of these TPV holders is the fact that their pre-migration traumatic experiences are compounded by a post-migration condition of being in indefinite "temporary" protection. This is further exacerbated by a prevalence of racialized discourses and exclusionary policies advocated by the host government. Past trauma and persecution, combined with present family separation and social exclusion, and further compounded by uncertainty about the future, had resulted in almost chronic states of anxiety and depression among a significant number of TPV holders.

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There is a lack of research and literature concerned with services which are produced and delivered over substantial, sustained time periods. The growing Leisure Air Travel industry has a major component of extended–duration product (long-haul flights). In the existing literature, there is little or no distinction made between leisure and business travellers regarding their motivation and expectations, the duration of the service encounters and the travellers’ evaluation of the service. The authors propose that leisure and business travellers have distinct and differing motives for travelling which affect their service evaluation. The individual consumers’ characteristics, combined with industry conditions and the complex product component, mean that measuring consumer satisfaction, with leisure air travel, in a useful way is problematic. The authors suggest that a major part of the complexity of the product is that leisure air travel is a high-involvement, high-affect, extended service. In June 2000 and February 2001, exploratory research in the form of focus groups conducted using a total of 110 passengers from a United Kingdom leisure airline, revealed several important criteria used by consumers when evaluating service provision. The criteria are grouped into six factors: Hygiene, Service/Empathy, Psychological, Temporal, Personal Characteristics, and Situation Specifics. A new model for examining the relationships between the factors, the
airline and satisfaction evaluation is proposed.

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Provisioning of real-time multimedia sessions over wireless cellular network poses unique challenges due to frequent handoff and rerouting of a connection. For this reason, the wireless networks with cellular architecture require efficient user mobility estimation and prediction. This paper proposes using robust extended Kalman filter (REKF) as a location heading altitude estimator of mobile user for next cell prediction in order to improve the connection reliability and bandwidth efficiency of the underlying system. Through analysis we demonstrate that our algorithm reduces the system complexity (compared to existing approach using pattern matching and Kalman filter) as it requires only two base station measurements or only the measurement from the closest base station. Further, the technique is robust against system uncertainties due to inherent deterministic nature in the mobility model and more effective in comparison with the standard Kalman filter.

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The football World Cup is the greatest multicultural sporting extravaganza of modern times. The notion of post-fandom tries to capture the ways in which fans now participate in and engage in self-aware and reflexive strategies to obtain their desired outcomes from attendance at or viewing such major events. This illustrated photo-essay on the World Cup looks at the experiences and behaviour of fans in three countries, Scotland, Germany and Australia, during the tournament with a view to extending our understanding of the relationships between fans and others temporarily interested in the World Cup and the promoters of such mega-events. It argues that the participants brought a wide range of expectations to the tournament and engaged in highly flexible and innovative approaches to ensure that they gained the maximum benefit, individually and collectively, from the experience.

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In this paper we consider how the concept of time is developed in schools. We argue that the teaching and learning of history (despite the emergence of the new history in the 1970s) is still taught and learnt with a temporal bias and it is often positioned in the past. So too, history/SOSE1 student-teachers are exposed to temporal bias in their tertiary education (as is evidenced in ‘Arts Faculty’ history courses). We suggest that there needs to be greater connectedness and balance between the dimensions of time in the teaching of SOSE with specific reference to the teaching of history and futures perspectives. We offer a new conceptualisation of history which we refer to as ‘history as the extended present’ this conceptualisation positions history in multiple temporal domains (the past, present and possible, probable and preferable futures) and emphasises the relevance of teaching and learning history to students life worlds.

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Creative Marketing challenges mainstream marketing thinking and draws from a diverse range of disciplines in order to inspire entrepreneurial thinking and practice among those marketers who wish to push the boundaries of knowledge.