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Generating a phonetic transcription of the speech waveform is one method which can be applied to continuous speech recognition. Current methods of labelling a speech wave involve the use of techniques based on spectrographic analysis. This paper presents a computationally simple method by which some phonemes can be identified primarily by their shapes. Three shapes which are regularly manifested by three phonemes were examined in utterances made by a number of speakers. Features were then devised to recognise their patterns using finite state automata combined with a checking mechanism. These were implemented in the Wave Analysis Language (WAL) system developed at the University of Canberra and the results showed that the phonemes can be recognised with high accuracy. The resulting shape features have also demonstrated a degree of speaker independence and context dependency.

In this thesis, a new method has been proposed for calculating the frequencydependent parameters of underground cables. The method uses full wave formulation for calculating the modal electromagnetic fields and corresponding voltages and currents and then extracting frequency-dependent per unit length parameters of underground cables. The proposed method can be used for any cross-sectional shape of cables.

In this thesis, a new method has been proposed for calculating the frequencydependent parameters of underground cables. The method uses full wave formulation for calculating the modal electromagnetic fields and corresponding voltages and currents and then extracting frequency-dependent per unit length parameters of underground cables. The proposed method can be used for any cross-sectional shape of cables.

A Partial Waves Analysis (PWA) of gamma p to Delta++ X to p pi+ pi- (eta) data taken with the CLAS detector at Jefferson Lab is presented in this work. This reaction is of interest because the Delta++ restricts the isospin of the possible X states, leaving the PWA with a smaller combination of partial waves, making it ideal to look for exotic mesons. It was proposed by Isgur and Paton that photoproduction is a plausible source for the Jpc=1-+ state through flux tube excitation. The pi1(1400) is such a state that has been produced with the use of hadron production but it has yet to be seen in photoproduction. A mass independent amplitude analysis of this channel was performed, followed by a mass dependent fit to extract the resonance parameters. The procedure used an event-based maximum likelihood method to maintain all correlations in the kinematics. The intensity and phase motion is mapped out for the contributing signals without requiring assumptions about the underlying processes. The strength of the PWA is in the analysis of the phase motion, which for resonance behavior is well defined. In the data presented, the eta pi- invariant mass spectrum shows contributions from the a0(980) and a2(1320) partial waves. No pi1 was observed under a clear a2 signal after the angular distributions of the decay products were analyzed using an amplitude analysis. In addition, this dissertation discusses trends in the data, along with the implemented techniques.

Hypertension guidelines recommend out of office blood pressure (BP) measurement especially 24- hour ambulatory measurement (ABPM), to diagnose and manage hypertension but this is not routinely performed in kidney transplant units. This study was to determine if 24-hour ABPM, compared with office BP in kidney transplant recipients, would be more informative regarding BP management, and if pulse wave analysis (PWA) would assist in risk stratification. This study included patients older than 18 years, with working graft kidney for >12 months, and without problems affecting BP measurement and interpretation. After performing office BP measurements, a 24-hour ABPM with additional capability of calculating pulse wave velocity (PWV),augmentation index and central BP was undertaken. Patients were assessed for controlled hypertension, uncontrolled hypertension, masked hypertension, nocturnal hypertension, white coat hypertension, and dipping BP status. Data were analysed using standard statistical tests. Of 30 patients, 15 were Black Africans and 15 were of Mixed Ancestry with a mean age of 48.9 years. Seventeen patients were males and 36.7% had controlled hypertension, 30% uncontrolled hypertension, 6.7% white coat hypertension and 33.3% masked hypertension, of whom 70% had isolated nocturnal hypertension. 70% had a non-dipping, 26.7% a reverse dipping and only 3.3% had a normal dipping BP pattern. The mean difference between brachia! systolic BP and central systolic BP was 10.4 mm Hg, whereas PWV and augmentation index were similar to healthy populations. CONCLUSION: In kidney transplant recipients, 24-hour ABPM was superior to office BP in defining hypertensive status that qualified for modification of therapy but PWA did not contribute to risk assessment.

京都大学 / 0048 / 新制・課程博士 / 博士(工学) / 甲第20090号 / 工博第4257号 / 新制||工||1659(附属図書館) / 33206 / 京都大学大学院工学研究科電子工学専攻 / (主査)教授 野田 進, 教授 藤田 静雄, 教授 川上 養一 / 学位規則第4条第1項該当 / Doctor of Philosophy (Engineering) / Kyoto University / DGAM

No / Nonresponse bias in survey research can result in misleading or inaccurate findings and assessment of nonresponse bias is advocated to determine response sample representativeness. Four methods of assessing nonresponse bias (analysis of known characteristics of a population, subsampling of nonresponders, wave analysis, and linear extrapolation) were applied to the results of a postal survey of U.K. hospital organizations. The purpose was to establish whether validated methods for assessing nonresponse bias at the individual level can be successfully applied to an organizational level survey. The aim of the initial survey was to investigate trends in the implementation of radiographer abnormality detection schemes, and a response rate of 63.7% (325/510) was achieved. This study identified conflicting trends in the outcomes of analysis of nonresponse bias between the different methods applied and we were unable to validate the continuum of resistance theory as applied to organizational survey data. Further work is required to ensure established nonresponse bias analysis approaches can be successfully applied to organizational survey data. Until then, it is suggested that a combination of methods should be used to enhance the rigor of survey analysis.