This thesis attempts to read ¡§Circe¡¨from Freudian perspectives to explore Joyce's narrative intermingling of psychical and historical worlds. It begins with an analysis of the haunting theme in this chapter,the dead, which constantly returns in¡§fantastic scenes,¡¨ followed by an elaboration on the way the ¡§Uncanny¡¨and the¡§Phantasy¡¨operate in each scene. These fantastic scenes,for me,function as signifiers for the unconscious of Joyce's characters and text:they express,abnegate, ridicule,exaggerate,and even betray the psyche of the two male protagonists¡Xespecially Bloom's castration complex¡Xand leads to a narrative and character aberration,allowing Joyce to repudiate the tradition of drama and novel, especially the English narrative convention of linear storytelling. By constructing a fantastic Ireland through crooked mirroring,Joyce becomes not only an international writer, but also an Irish writer.

Pool boiling process is frequently encountered in a number of engineering applications. It is difficult to exactly predict the heat transfer coefficient. This is because the boiling phenomenon is rather complex and influenced by many factors, such as surface condition, heater size, geometry, material, arrangement of heated rods, and refrigerants, etc. The key boiling parameters (bubble dynamics data) such as bubble departure diameter, frequency, velocity and nucleation site density will be varied in such different heated surface resulting in the different effect of heat transfer. Furthermore, more fundamental of the physical phenomenon can be obtained. This study was performed experimentally. R-134a and R-600a were used as refrigerants. The surface condition will be changed with plasma spray coating. It is expected that the surface condition can affect the nucleate boiling heat transfer in certain degree. In addition, using the high speed digital vide camera and LDV to measure the bubble diameter and dynamics of R-600a and R-134a while growing. According of the results of experiments. The boiling curves in different situation were drawn and the influences of heat transfer coefficients by bubble velocity was also examinate. Finally, to broaden our basic understanding of different characteristics of refrigeration surface condition and heat transfer coefficient, thermal design data of a flooded type evaporator of high performance as well as more and further physical insight of the above-stated nucleate boiling heat transfer can be acquired. The results will hopefully be helpful not only for the academia but for the industry.

Zooxanthellae are very important for the coral reef ecosystem. The diversity of coral hosts is high in the Indo-Pacific, but the diversity of zooxanthellae has not been broadly investigated. Southern Taiwan and Penghu Islands are coral reef and non-reefal communities, respectively. These localities were chosen as the sampling sites for this study to maximize the opportunity of surveying this region in the Indo-Pacific. Zooxanthellae diversity was investigated in 40 host species including 32 species of Scleractinia, 4 species of Actiniaria, 3 species of Milleporina and 1 species of Helioporacea using polymerase chain reaction (PCR) of the ssrRNA gene and restriction fragment length polymorphism (RFLP) patterns. The phylogenetic relationship of partial and complete sequences of the ssrRNA gene were also analysed. Aiptasia puchella harbors clade B; Oulastrea crispata only harbors clade E; while Acropora palifera and Montipora cactus harbor both clades C and E. Zooxanthellae isolated from all except the above 4 host species are identified as "clade C" sensu Rowan and Powers (1991a). Therefore, the clade C is the dominant type in the Indo-Pacific. Phylogenetic analyses based on partial and complete sequences obtained in this study and also from the GenBank data base demonstrate 4 clades (A, B, C and E) in the genus Symbiodinium. Clade E, classed as D3 RFLP type in previous studies, is a distinct clade differing from A, B and C by RFLP and sequencing data. Clade E has only been found in Scleractinia host species collected in shallow-water habitats in the Pacific. The composition of zooxanthellae clades and ecological pattern of polymorphic symbiosis is not consistent with the irradiance adaptation hypothesis in the Caribbean. A literature survey of zooxanthellae in Scleractinian hosts indicates a significant difference between the Caribbean and the Pacific. The documented biogeography of zooxanthellae clades and the ecological pattern of polymorphic symbiosis are also differ between the Caribbean and the Indo-Pacific.

Abstract The interaction among the tooth wear, dynamic loads, and its corresponding frequency spectrum variation in a spur gear pair is investigated in the dissertation. A mathematical model for the dynamic responses of a profile shifting involute gear pair is derived. For simplicity, a two-step mesh stiffness model is proposed to approximate the load sharing and the time-varying stiffness effects in a mating gear pair. The analytic solutions for the dynamic responses of this simplified dynamic model are derived in both time and frequency domains. The effect of the tooth wear on the spectrum variation has been illustrated analytically. The amplitude and frequency modulations introduced from the periodic load fluctuation have also been discussed. In order to characterize the time-varying mesh stiffness, frictional coefficient, damping ratio, temperature rise and load sharing effects between engaged teeth, a computational algorithm with the quasi-linear iteration procedure is developed to include above instantaneous parameters in the teeth engagement process. The tooth wear equation proposed by Flodin and Andersson (1997) is employed to simulate the mild wear process for an engaging gear pairs. The interactions between the tooth wear and the dynamic loads for the Steel/Steel, POM/POM, Nylon/Nylon and Steel/Nylon gears pair have been studied numerically. Numerical examples indicate that the proposed models are valid for gear pairs with different materials.

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In this thesis, we proposed a call admission control algorithm (CAC) and an adaptive allocation of resource algorithm (AAR) for 3G wireless multimedia data transmission. The proposed CAC algorithm uses a measurement-based method by measuring real-time network load to modulate the parameters of the CAC algorithm and to decide whether to accept a call or not. When a call is admitted, the proposed AAR algorithm uses a low complexity algorithm to adaptively allocate bandwidth for the call to improve resource utilization. Taking advantages of the proposed CAC and AAR algorithms, the desired quality of service (QoS) can be maintained, the call forced termination probabilities can be reduced, and the call completion probabilities can be increased. In addition, there are a variety of types of data in 3G wireless communication networks. To set a proper priority for different data to maintain a desired QoS is important. Therefore, we also proposed a scheme to set priority for each call. On the basis of this scheme, simulation results show that the proposed CAC algorithm and the AAR algorithm can forward the call with higher priority to get relative higher QoS, and guarantee that an emergency call can go through and complete at any time in a normal situation.

In the traditional mobile communication networks, the bandwidth of wireless links is too small and the bandwidth difference between wireless links and wireline links is too large. This leads to limiting the application of mobile communication networks to transmit multimedia data and other high-bit rate services, and the problem of lacking bandwidth often occurs to wireless links. But the new generation mobile communication networks, called the third generation mobile communication systems (3G systems), will change this condition. Because the 3G systems will quickly enhance the transmission rate of the wireless links (up to 2Mbps) and provide better quality of transmission, the transmission of multimedia data and other high-bit rate services in the mobile communication networks can be achieved. The 3G systems can support many new services that are never supported before, and these new services always need support the point-to-multipoint transmission. In this thesis, we will discuss the problems of supporting these new services, and then we propose new multimedia multicasting architecture to overcome these problems.

ABSTRACT In this thesis, some aspects of the non-fixed neural network for power load forecasting are discussed. Unlike traditional fixed neural network technique, the structure of neural network is non-fixed during its training and testing phases. Based on the characteristic of the desired forecasting day, the number of input node utilized is changeable. The modified learning algorithms, including fuzzy back-propagation learning algorithm and stochastic back-propagation learning algorithm, will be used in the load forecasters we developed. For precise input selection of the neural network model, the analysis of mutual relationship between load and temperature and gray relational analysis between desired forecasting load and the related previous load are studied. Two types of load forecasting, i.e., peak load forecasting and hourly load forecasting, are investigated. Short term (one-to-several-day-ahead) load forecasting is considered in this research. Hourly loads and relevant temperature data from 1992 to 1998 provided by Taipower Utility and the Central Weather Bureau is implemented for this research. For demonstrating the feasibility and superiority of the forecasters we develop, several forecasting models, including fixed neural network with constant learning rate and momentum, recursive time series model, and artificial neural network short term load forecaster (ANNSTLF) proposed by [Kho.2], are also performed for a comparison. From the results of the simulation, better performances could be obtained by the methods we proposed. Not only the over-training phenomenon is obviously reduced, the forecasting accuracy and the learning speed of the neural model are also effectively improved.

A simple technique of designing a robust discrete-time variable structure output tracking controller for a class of perturbed MIMO linear and nonlinear systems is proposed in this thesis. For linear systems, a model reference scheme is employed. Both an adaptive mechanism and a perturbation estimation process are embedded in the proposed control scheme. The information of the upper bound of the perturbation estimation error is not required due to the usage of adaptive mechanism. It is shown that the dynamics of the controlled systems will be driven into the vicinity of the designed switching surface, therefore the tracking error will be constrained in a small bounded region. Furthermore, the stability of the overall controlled system is guaranteed, and one can increase the tracking accuracy by adjusting the controller's parameters or by employing the perturbation estimation process.

In the past, information was stored more or less well-structured in database. Nowadays, a lot of information is presented in unstructured format. The management of and retrieval from such large vast of textual information has been a challenging issue for organizations or individuals. Information extraction is the process of extracting relevant data from semi-structured or unstructured documents and transforming them into structured representations. Many information extraction learning techniques have been proposed. However, they are ineffectiveness on unstructured documents. Thus, in the research, we proposed a new information extraction learning algorithm, called LIEF, that enhancing existing information extraction learning techniques. According to the empirical evaluations on news documents that are unstructured format, the LIEF algorithm proposed showed its capabilities in accuracy rate.