140 resultados para formal verification


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This paper proposes a combination of source-normalized weighted linear discriminant analysis (SN-WLDA) and short utterance variance (SUV) PLDA modelling to improve the short utterance PLDA speaker verification. As short-length utterance i-vectors vary with the speaker, session variations and phonetic content of the utterance (utterance variation), a combined approach of SN-WLDA projection and SUV PLDA modelling is used to compensate the session and utterance variations. Experimental studies have found that a combination of SN-WLDA and SUV PLDA modelling approach shows an improvement over baseline system (WCCN[LDA]-projected Gaussian PLDA (GPLDA)) as this approach effectively compensates the session and utterance variations.

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Parents whose children are identified as having experienced or being at risk of experiencing significant harm potentially provide an invaluable dimension to our understanding of the circumstances that result in child abuse or neglect and how best to respond to these invariably complex situations. This paper reports findings from a study of the experiences of six parents. In-depth interviews were conducted with four mothers and two fathers who had been referred to an intensive family support services by the Queensland statutory child protection authority. Using a critical ecological perspective, the study focused on identifying and understanding the experiences of the parents in using formal family support services, including aspects of service delivery that were helpful or unhelpful. Parents also commented on their experiences of statutory child protection services. Service components and worker qualities that parents identified as being helpful included being accessible, targeted and integrated and being able to meet a continuum of needs, from a micro to a broader level. Their reports provide invaluable insight into how formal family support services, including child protection services, can better meet the needs of parents in addressing the recurring problem of child maltreatment.

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A Monte Carlo model of an Elekta iViewGT amorphous silicon electronic portal imaging device (a-Si EPID) has been validated for pre-treatment verification of clinical IMRT treatment plans. The simulations involved the use of the BEAMnrc and DOSXYZnrc Monte Carlo codes to predict the response of the iViewGT a-Si EPID model. The predicted EPID images were compared to the measured images obtained from the experiment. The measured EPID images were obtained by delivering a photon beam from an Elekta Synergy linac to the Elekta iViewGT a-Si EPID. The a-Si EPID was used with no additional build-up material. Frame averaged EPID images were acquired and processed using in-house software. The agreement between the predicted and measured images was analyzed using the gamma analysis technique with acceptance criteria of 3% / 3 mm. The results show that the predicted EPID images for four clinical IMRT treatment plans have a good agreement with the measured EPID signal. Three prostate IMRT plans were found to have an average gamma pass rate of more than 95.0 % and a spinal IMRT plan has the average gamma pass rate of 94.3 %. During the period of performing this work a routine MLC calibration was performed and one of the IMRT treatments re-measured with the EPID. A change in the gamma pass rate for one field was observed. This was the motivation for a series of experiments to investigate the sensitivity of the method by introducing delivery errors, MLC position and dosimetric overshoot, into the simulated EPID images. The method was found to be sensitive to 1 mm leaf position errors and 10% overshoot errors.

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This paper describes an investigation of conceptions of learning held by 22 Aboriginal and Torres Strait Islander students from three universities in Queensland, Australia. Other areas investigated were students' experiences of informal learning, their reasons for studying and the strategies they used to learn. Research into conceptions of learning is gaining impetus and current beliefs include the premise that approaches to learning adopted by university students, and hence learning outcomes, are closely related to their conceptions of learning. There is substantial research focused on Aboriginal learning styles in early childhood and primary school which indicates that Aboriginal children prefer to learn in a practical way as well as through observation and imitation and trial and error. Very little research has focused specifically on Aboriginal university students' conceptions of learning. Results of this study found that these students view and approach formal university learning in much the same way as other university students and most hold quantitative conceptions of learning. The most interesting result was the difference between students' conceptions of formal learning and their experiences of informal learning. Many students' experiences of informal learning were grounded in practical activities or exhibited a cultural focus, however, most formal learning is not dependent upon practical or cultural knowledge. It is proposed that formal learning for Indigenous students recognise and include an Indigenous perspective such as integrating, where appropriate, practical strategies for learning. We also suggest that Indigenous students be helped to develop conceptions that will enable them to learn formal, theoretical material successfully.

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Research suggests that students' approaches to learning and hence learning outcomes are closely related to their conceptions of learning. This paper describes an investigation into conceptions of formal learning held by 22 Aboriginal and Torres Strait Islander students from three Australian universities in Queensland; categories of informal learning, reasons for studying and strategies used to learn were also investigated. The attrition rate for these students in tertiary education is higher than that of any other group of students. The main aim of this study was to determine their conceptions of learning in order to provide information that might facilitate instruction more suited to their needs in order to address the high attrition rate. Results showed that these students view and approach university learning in much the same way as other university students. It was also apparent that, for the most part, the strategies these students used did not match the conceptions of learning they held. An interesting result was the difference between the conceptions of formal learning and perceptions of informal learning.

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This PhD research has provided novel solutions to three major challenges which have prevented the wide spread deployment of speaker recognition technology: (1) combating enrolment/ verification mismatch, (2) reducing the large amount of development and training data that is required and (3) reducing the duration of speech required to verify a speaker. A range of applications of speaker recognition technology from forensics in criminal investigations to secure access in banking will benefit from the research outcomes.

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Critical to the research of urban morphologists is the availability of historical records that document the urban transformation of the study area. However, thus far little work has been done towards an empirical approach to the validation of archival data in this field. Outlined in this paper, therefore, is a new methodology for validating the accuracy of archival records and mapping data, accrued through the process of urban morphological research, so as to establish a reliable platform from which analysis can proceed. The paper particularly addresses the problems of inaccuracies in existing curated historical information, as well as errors in archival research by student assistants, which together give rise to unacceptable levels of uncertainty in the documentation. The paper discusses the problems relating to the reliability of historical information, demonstrates the importance of data verification in urban morphological research, and proposes a rigorous method for objective testing of collected archival data through the use of qualitative data analysis software.

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In Australia, collaborative contracts have been increasingly used to govern infrastructure projects. These contracts combine formal and informal mechanisms to manage project delivery. Formal mechanisms (e.g. financial risk sharing) are specified in the contract, while informal mechanisms (e.g. integrated team) are not. The paper reports on a literature review to operationalise the concepts of formal and informal governance, as the literature contains a multiplicity of, often un-testable, definitions. This work is the first phase of a study that will examine the optimal balance of formal and informal governance structures. Desk-top review of leading journals in the areas of construction management and business management, as well as recent government documents and industry guidelines, was undertaken to to conceptualise and operatinalise formal and informal governance mechanisms. The study primarily draws on transaction-cost economics (e.g. Williamson 1979; 1991), relational contract theory (Feinman 2000; Macneil 2000) and social psychology theory (e.g. Gulati 1995). Content analysis of the literature was undertaken to identify key governance mechanisms. Content analysis is a commonly used methodology in the social sciences area. It provides rich data through the systematic and objective review of literature (Krippendorff 2004). NVivo 9, a qualitative data analysis software package, was used to assist in this process. Formal governance mechanisms were found to be usefully broken down into four measurable categories: (1) target cost arrangement (2) financial risk and reward sharing regime (3) transparent financials and (4) collaborative multi-party agreement Informal governance mechanisms were found to be usefully broken down into three measurable categories: (1) leadership structure (2) integrated team (3) joint management system We expect these categories to effectively capture the key governance drivers of outcomes on infrastructure projects. These categories will be further refined and broken down into individual governance mechanisms for assessment through a large-scale Australian survey planned for late 2012. These individual mechanisms will feature in the questionnaire that QUT will deliver to AAA in October 2012.

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By definition, regulatory rules (in legal context called norms) intend to achieve specific behaviour from business processes, and might be relevant to the whole or part of a business process. They can impose conditions on different aspects of process models, e.g., control-flow, data and resources etc. Based on the rules sets, norms can be classified into various classes and sub-classes according to their effects. This paper presents an abstract framework consisting of a list of norms and a generic compliance checking approach on the idea of (possible) execution of processes. The proposed framework is independent of any existing formalism, and provides a conceptually rich and exhaustive ontology and semantics of norms needed for business process compliance checking. The possible uses of the proposed framework include to compare different compliance management frameworks (CMFs).

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Experimental studies have found that when the state-of-the-art probabilistic linear discriminant analysis (PLDA) speaker verification systems are trained using out-domain data, it significantly affects speaker verification performance due to the mismatch between development data and evaluation data. To overcome this problem we propose a novel unsupervised inter dataset variability (IDV) compensation approach to compensate the dataset mismatch. IDV-compensated PLDA system achieves over 10% relative improvement in EER values over out-domain PLDA system by effectively compensating the mismatch between in-domain and out-domain data.

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Study/Objective This program of research examines the effectiveness of legal mechanisms as motivators to maximise engagement and compliance with evacuation messages. This study is based on the understanding that the presence of legislative requirements, as well as sanctions and incentives encapsulated in law, can have a positive impact in achieving compliance. Our objective is to examine whether the current Australian legal frameworks, which incorporate evacuation during disasters, are an effective structure that is properly understood by those who enforce and those who are required to comply. Background In Australia, most jurisdictions have enacted legislation that encapsulates the power to evacuate and the ability to enforce compliance, either by the use of force or imposition of penalty. However, citizens still choose to not evacuate. Methods This program of research incorporates theoretical and doctrinal methodologies for reviewing literature and legislation in the Australia context. The aim of the research is to determine whether further clarity is required to create an understanding of the powers to evacuate, as well as greater public awareness of these powers. Results & Conclusion Legislators suggest that powers of evacuation can be ineffective if they are impractical to enforce. In Australia, there may also be confusion about from which legislative instrument the power to evacuate derives, and therefore whether there is a corresponding ability to enforce compliance through the use of force or imposition of a penalty. Equally, communities may lack awareness and understanding of the powers of agencies to enforce compliance. We seek to investigate whether this is the case, and whether even if greater awareness existed, it would act as an incentive to comply.

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Supervisory Control and Data Acquisition (SCADA) systems are one of the key foundations of smart grids. The Distributed Network Protocol version 3 (DNP3) is a standard SCADA protocol designed to facilitate communications in substations and smart grid nodes. The protocol is embedded with a security mechanism called Secure Authentication (DNP3-SA). This mechanism ensures that end-to-end communication security is provided in substations. This paper presents a formal model for the behavioural analysis of DNP3-SA using Coloured Petri Nets (CPN). Our DNP3-SA CPN model is capable of testing and verifying various attack scenarios: modification, replay and spoofing, combined complex attack and mitigation strategies. Using the model has revealed a previously unidentified flaw in the DNP3-SA protocol that can be exploited by an attacker that has access to the network interconnecting DNP3 devices. An attacker can launch a successful attack on an outstation without possessing the pre-shared keys by replaying a previously authenticated command with arbitrary parameters. We propose an update to the DNP3-SA protocol that removes the flaw and prevents such attacks. The update is validated and verified using our CPN model proving the effectiveness of the model and importance of the formal protocol analysis.

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This paper proposes the addition of a weighted median Fisher discriminator (WMFD) projection prior to length-normalised Gaussian probabilistic linear discriminant analysis (GPLDA) modelling in order to compensate the additional session variation. In limited microphone data conditions, a linear-weighted approach is introduced to increase the influence of microphone speech dataset. The linear-weighted WMFD-projected GPLDA system shows improvements in EER and DCF values over the pooled LDA- and WMFD-projected GPLDA systems in inter-view-interview condition as WMFD projection extracts more speaker discriminant information with limited number of sessions/ speaker data, and linear-weighted GPLDA approach estimates reliable model parameters with limited microphone data.

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In this paper we introduce a novel domain-invariant covariance normalization (DICN) technique to relocate both in-domain and out-domain i-vectors into a third dataset-invariant space, providing an improvement for out-domain PLDA speaker verification with a very small number of unlabelled in-domain adaptation i-vectors. By capturing the dataset variance from a global mean using both development out-domain i-vectors and limited unlabelled in-domain i-vectors, we could obtain domain- invariant representations of PLDA training data. The DICN- compensated out-domain PLDA system is shown to perform as well as in-domain PLDA training with as few as 500 unlabelled in-domain i-vectors for NIST-2010 SRE and 2000 unlabelled in-domain i-vectors for NIST-2008 SRE, and considerable relative improvement over both out-domain and in-domain PLDA development if more are available.