In this thesis, we study the Stieltjes transforms of the probability distribution functions and compare them with the characteristic functions of the probability distribution functions simultaneously. In section 1 and section 2, we introduce briefly the Stieltjes transforms. In section 3, we conclude that the Stieltjes transform is similar to the complexion of symmetry under the condition of symmetric probability distribution functions. In section 4, we discuss the relation between Stieltjes transforms of probability distribution functions and the density of probability distribution functions. We also show that the nth derivative of Stieltjes transform is uniformly continuous on the upper complex plane.

Abstract Due to the depression of domestic construction market in Taiwan in recent years and with foreign participants entering the market (such as HSR and KRT), the survival ability of many domestic companies have decreased tremendasly. Facing the rapid change of the industry and the economy, companies must have a clear set of strategies for business continuity. Most importantly, diversification is a very sinificant aspect for survival. According to the Statistics of Construction and Planning Administration, MOI in 2008, there are 9644 domestic contruction companies in Taiwan of which 760 are located in Kaohsiung. This statistic clearly presents the intensity of the competition and the challenges each company faces. Hence, the topic of exploring the blue ocean strategy becomes an important issue matter to focus. With perspectives of Resources-based View (RBV), an engineering construction company has been chosen as a case study in this thesis to investicate ways how a professional construction company can build different long-term strategies for surviving difficult circumstances. As part of this research, a six hour in-depth interview has been conducted with the CEO and two senior managers of the company. After the interview and based on some analysis, a conclusion has derived as below: First, a construction company¡¦s sustanability and core competency are structured based on the following 3 aspects: professional integrity, senses of quality and humanized management. Second, the company should implement an open system for evolution by exploring and participating other opportunity. Third, the company should re-determine its position (including its competitiveness) through building up a professional evaluation team. Finally, the company should align with its outside resources and transform into a ¡§construction projects broker.¡¨ Keywords¡G Construction Industry Strategy of Trasnform

Includes bibliographical references (p. 85-86).

Thesis (Ph. D.)--University of Hong Kong, 1988.

A Fourier Transform Spectrometer (FTS) is an interferometric instrument configured so that the optical spectrum of the input to the instrument can be determined from the Fourier transform of the output. Spectral resolution is proportional to the maximum path differences in the interferometer. The Kitt Peak 1-Meter FTS is a high resolution instrument featuring a one-meter maximum path difference. The instrument is of the continuous motion type and utilizes equal time sampling of the interferogram. Realization of the potential of a one-meter path difference instrument requires very precise path difference positioning. Static and dynamic position accuracies of approximately seven Angstrom units are achieved in this instrument. Path difference command and control is accomplished through use of phase-lock techniques. A key element in the implementation is a Zeeman frequency stabilized Zeeman laser. Stabilization is accomplished by phase-locking the Zeeman frequency to a quartz crystal controlled system reference frequency. Path position information is derived by a control position interferometer which utilizes the Zeeman laser so that one cycle in phase at the Zeeman frequency corresponds to one wavelength in path difference at the laser optical frequency. Position control is achieved by phase-locking the output of the position control interferometer to a command signal. The command signal is synthesized from the laser Zeeman frequency by an additional phase-lock loop. Two approaches to minimizing spectral ghosts resulting from velocity errors are developed. One technique is applicable to band-pass designs. The second optimizes response of low-pass designs that include a single high-pass pole to reject the average value of the interferogram. Both techniques result in ghost responses improved by factors of at least ten to one-hundred compared with those of conventional data filters. The instrument includes an autoranging analog-to-digital converter with fifteen bits of resolution and total range of twenty-two bits developed to cope with the large dynamic range of the interferogram. These efforts together with careful design and construction have resulted in a powerful instrument which is in active use.

No description available.

This thesis examines the ability of the wavelet transform to form features which may be used successfully in a discriminant analysis. We apply our methods to two different data sets and consider the problem of selecting the 'best' features for discrimination. In the first data set, our interest is in automatically recognising the variety of a carrot from an image. After necessary image preprocessing we examine the usefulness of shape descriptors and texture features for discrimination. We show that it is better to use the different 'types' of features separately, and that the wavelet coefficients of the outline coordinates are more useful. In the second data set we consider the task of automatically identifying individual haddock from the sounds they produce. We use the smoothing property of wavelets to automatically isolate individual haddock sounds, and use the stationary wavelet transform to overcome the shift dependence of the standard wavelet transform. Again we calculate different 'types' of wavelet features and compare their usefulness in classification and show that including information on the source of the previous sound can substantially increase the correct classification rate. We also apply our techniques to recognise different species of fish which is also highly successful. In each analysis, we explore different allocation rules via regularised discriminant analysis and show that the highest classification rates obtained are only slightly better than linear discriminant analysis. We also consider the problem of selecting the best subset of features for discrimination. We propose two new measures for selecting good subsets and using a genetic algorithm we search for the 'best' subsets. We investigate the relationship between out measures and classification rates showing that our method is better than selection based on F-ratios and we also discover that our two measures are closely related.

No description available.

Thesis (M.S.)--State University of New York at Binghamton, Industrial and Systems Engineering Department, 2006. / Includes bibliographical references.

Thesis (M.S.)--Eastern Illinois University, 2008. / Includes bibliographical references (pp. 16, 30, 49, 69, 95, 126).