Dissertations / Theses on the topic 'Fully integrated model'

Thailand has been often affected by severe flood events over the past century. The 2011’s Thailand Flood Catastrophe was the costliest in country’s history, and it was ranked to be the second most damaging natural hazard in the world in terms of economic losses. The Chao Phraya River Basin was noted to be the most vulnerable area prone to flooding in Thailand. The dynamics of flood risk in the river basin have changed drastically over the past fifty years. In particular, flood exposure increased due to rapid urbanization and population growth. Since 2012, integrated flood risk management has been addressed to be the major framework of water-related disasters with the goal of losses and damage reductions. However, there is currently little research in Thailand on how to quantify flood risks and mitigate flood inundation damage on the relation between the occurrence of flood events and their consequential socio-economic implications. In this study, a tradition method in flood risk assessment is implemented by integrating 2D hydrodynamic modelling and the assessment of socio-economic impact of floods into the Chao Phraya River Basin. More specifically, the fully 2D version of the LISFLOOD-FP model code was used to model flood inundation processes. The output of the model was then used to map inundation depth and assess the levels of physical/environmental risk associated to flood hazards on multiple receptors/elements at risk. The European Flood Directive and the KULTURisk methodology were applied to quantify flood risks in monetary terms for residential, industrial, and agricultural sectors. The 2011 flood event was used for model calibration, while a hypothetical flood event with a return period of 100 years was simulated to identify the potential flood losses. Depth-damage functions comprising of JRC-ASIA, the Flemish, and JICA models were used to estimate potential damage for residential and industrial structures. The results showed that LISFLOOD-FP could satisfactorily reproduce the flood inundation extent obtained from satellite imagery in 2011. The model performance (Critical Success Index or F1) was of 56%, with a Bias of 112%. The latter meant the total inundated area was 12% larger than flood extent’s observation. Moreover, the model could simulate flood levels with overall Root Mean Square Error (RMSE) and Mean Absolute Error (MAE) of 2.03 m a.s.l. and 1.78 m a.s.l., respectively. For the estimation of flood damage and losses, the Flemish model showed the strongest agreement with the reported flood damage in the residential sector, while JICA-ASIA model underestimated flood damage for industrial sector by just 1%. The KULTURisk methodology also well-estimated crop losses in the 2011 event which an overestimation about 21% from the reported value. Apart from that, fully 2D numerical method could not perfectly represent 1-in-100 year flood inundation due to non-consideration of important features such as the precise river channel topography, hydraulic infrastructures, and flood protection schemes in the river basin. Lack of such features results in an overestimation of flood damage and losses for 1-in-100 year flood comparing to the national flood hazard map and damage assessment which are simulated and estimated by JICA’s study. Such features can be better handled by using a coupled 1D/2D numerical method in order to simulate flood inundation extent more realistically and estimate flood losses. This could help the Thai government to better prepare a budget for flood risk prevention. In addition, even if the Flemish model indicates a good representation of relative flood damage to housing structures, the government should establish depth-damage curves specific for Thailand.

Fast methods for the electromagnetic simulation of integrated circuit (IC) package modules through model order reduction are demonstrated. The 3D integration of multiple functional IC chip/package modules on a single platform gives rise to geometrically complex structures with strong electromagnetic phenomena. This motivates our work on a fast full-wave solution for the analysis of such modules, thus contributing to the reduction in design cycle time without loss of accuracy. Traditionally, fast design approaches consider only approximate electromagnetic effects, giving rise to lumped-circuit models, and therefore may fail to accurately capture the signal integrity, power integrity, and electromagnetic interference effects. As part of this research, a second order frequency domain full-wave susceptance element equivalent circuit (SEEC) model will be extracted from a given structural layout. The model so obtained is suitably reduced using model order reduction techniques. As part of this effort, algorithms are developed to produce stable and passive reduced models of the original system, enabling fast frequency sweep analysis. Two distinct projection-based second order model reduction approaches will be considered: 1) matching moments, and 2) matching Laguerre coefficients, of the original system's transfer function. Further, the selection of multiple frequency shifts in these schemes to produce a globally representative model is also studied. Use of a second level preconditioned Krylov subspace process allows for a memory-efficient way to address large size problems.

Wastewaters from intensive agricultural activities contain high concentrations of nitrogen and phosphorus that contributes to water management problems. During the past few years, there has been considerable interest in the use of constructed wetlands for treating surface water runoff from farmyards. If the contaminated runoff is not treated, this wastewater along with other non-point sources of pollution can seriously contaminate the surface water and groundwater. Integrated Constructed Wetlands (ICWs) are a type of free water surface wetlands. They are engineered systems that are designed, constructed and operated successfully for treating farmyard runoff in the British Isles. However, the long-term treatment performance of these systems, the processes involved in contaminant removal and the impact on associated water bodies are not well-known. The aims of this project were to assess the performance of full-scale integrated constructed wetlands and understand nutrient removal in them. Performance evaluation of these systems through physical, chemical and microbiological parameters collected for more than 7 years showed good removal efficiencies compared to international literature. The monitored nutrient concentrations in groundwater and surface waters indicate that ICW systems did not pollute the receiving waters. The role of plants (Typha latifolia) and sediment in removing nutrients was also assessed. More nitrogen and phosphorus were stored in wetland soils and sediments than in plants. The results demonstrate that the soil component of a mature wetland system is an important and sustainable nutrient storage compartment. A novel molecular toolbox was used to characterise and compare microbial diversity responsible for nitrogen removal in sediment and litter components of ICW systems. Diverse populations of nitrogen removing bacteria were detected. The litter component of the wetland systems supported more diverse nitrogen removing bacteria than the sediments. Nitrogen removing bacteria in the wetland systems appeared to be stochastically assembled from the same source community. The self-organising map model was applied as a prediction tool for the performance of ICW and to investigate an alternative method of analysing water quality performance indicators. The model performed very well in predicting nutrients and biochemical oxygen demand with easy to measure and cost-effective water quality parameters. The results indicate that the model was an appropriate approach to monitor wastewater treatment processes and can be used to support management of ICW in real-time.

This thesis comprises three essays and investigates complex effects of integrated marketing communications, using advanced statistical and econometric models. The first essay focuses on the measurement of complex multi-media communications effects such as thresholds, saturation levels and cross-media synergies. We use, MARS, a non-parametric regression method based on multivariate adaptive splines, and show that it, successfully trading-off the bias reduction and variance increase, performs superior to parametric and non-parametric benchmarks in model fit and predictive validity. The results provide compelling evidence to one or more threshold points, saturation levels, early saturation for newspaper advertisements and support for possible supersaturation for certain media. Moreover, we quantify the observed threshold and saturation levels using non-parametric derivatives and find that majority of the media perform in inefficient spending ranges. The second essay examines the dynamic effects of direct-to-consumer advertising (DTCA) in a market where regulations impose restrictions on the type and content of prescription pharmaceutical advertising. We identify three research questions that should be of great managerial interest: Whether DTCA is a reasonable option to choose under these regulations. If so, which type of DTCA is more effective, and when? We pursue these questions by examining data on new and refill prescriptions for a novel pharmaceutical through the implementation of an Augmented Kalman Filter with continuous state and discrete observations (AKF(C-D)). Our findings suggest the presence of complex DTCA dynamics for the two types of regulation-induced advertising messages. We discuss implications and provide extensive validation tests that confirm the superiority of our modeling approach. The final essay investigates the influence of market heterogeneity on the consumer and physician directe
Cette thèse comprend trois essais et examine les effets complexes des communications marketing intégrées, utilisant des modèles statistiques et économétriques avancés. Le premier essai se concentre sur la mesure des effets complexes des communications multimédia comme les seuils minimums, les niveaux de saturation et les synergies des médias croisés. Nous utilisons, MARS, une méthode de régression non paramétrique basée sur des courbes adaptatives multivariables, et ce qui démontre qu'équilibrant avec succès la réduction de l'erreur moyenne et de l'écart de l'augmentation, MARS s'exécute mieux aux points de référence paramétriques et non paramétriques dans l'ajustement du modèle et la validité prédictive. Les résultats fournissent la preuve irréfutable d'un ou plusieurs points de seuil minimum, de niveaux de saturation, de la saturation précoce pour les publicités dans la presse écrite et d'un appui pour une possible sursaturation de certains médias. De plus, nous évaluons quantitativement le seuil observé et les niveaux de saturation en utilisant des dérivés non paramétriques et constatons que la majorité des médias s'exécute dans des gammes de dépenses inefficaces.Le deuxième essai examine les effets dynamiques de la publicité directe au consommateur (DTCA) dans un marché où les règlements imposent des restrictions sur le type et le contenu de la publicité pour les prescriptions pharmaceutiques. Nous identifions trois questions de recherche qui devraient être de grand intérêt en gestion, c'est-à-dire : Si la DTCA est une option raisonnable à choisir conformément à ces règlements ? S'il en est ainsi, quel type de DTCA est le plus efficace et quand ? Nous poursuivons ces questions en examinant des données sur les nouvelles prescriptions et les renouvellements de prescriptions pour un nouveau médicament par la mise en oeuvre d'un Filtre Kalman Augm

As operating frequency increases and device sizes shrink, the complexity of current state-of-the-art designs has increased dramatically. One of the main contributors to this complexity is high speed interconnects. At high frequencies, interconnects become dominant contributors to signal degradation, and their effects such as delays, reflections, and crosstalk must be accurately simulated. Time domain analysis of such structures is however very difficult because, at high frequencies, they must be modeled as distributed transmission lines which, after discretization, result in very large networks. In order to improve the simulation efficiency of such structures, model order reduction has been proposed in the literature. Conventional model order reduction methods based on Krylov subspace have a number of limitations in many practical simulation problems. This restricts their usefulness in general commercial simulators.
In this thesis, a number of new reduction techniques were developed in order to address the key shortcomings of current model order reduction methods. Specifically a new approach for handling macromodels with a very large number of ports was developed, a multi-level reduction and sprasification method was proposed for regular as well as parametric macromodels, and finally a new time domain reduction method was presented for the macromodeling of nonlinear parametric systems. Using these approaches, CPU speedups of 1 to 2 orders of magnitude were obtained.

The goal of this study is to present the empirical results of a design experiment that validates the Integrated Learning Model (ILM). The study also explores the contribution of multiple Web-tools that facilitate specific learning outcomes.
Using a multiple paradigmatic approach that blends the best of both cognitive and situative perspectives in an open-learning constructivist environment, three broad constructs were used to identify variables that influence learning. These constructs include (1) knowledge acquisition strategies ; (2) cognitive tools that support practice and (3) assessment components that capture artifacts of learning.
In addition, the ILM uses expertise, pedagogical content knowledge and self-regulation as principles that anchor instructional designs. While these principles have traditionally been operationalized separately in classroom settings, they have not been implemented simultaneously to constitute the core elements of an open-learning model. The ILM represents such a synthesis.
Data were collected from 338 students using various tools online, as well as from four surveys administered throughout the semester. Sixty percent of the participants were male with an average age of 21 years. They spent approximately six hours per week on the course. Print material, interactive practice tests and online information were the most frequently used tools. Other tools such as videos and communication software were also positively rated. The majority preferred a mixture of discovery learning and guided instruction. From the fifteen online items, three extracted factors explained 69% of the total variance and loadings were above the 0.7 threshold. These factors correspond to the three broad constructs identified above. Given these dimensions and the latent construct (learning), Structural Equation Modeling techniques were applied to confirm the ILM.
The ELM is introduced to encourage designers of Web-based instruction to engineer appropriate knowledge acquisition strategies and to practice opportunities and appropriate assessment methods that are theoretically driven and constructively aligned in an open learning environment. Such Web-designs open new doors to faculty, administrators, employers, and learners. They help to explain why participants learn meaningfully and what might enable them to create knowledge.

The time-varying survival rates of the carrot weevil, Listronotus oregonensis, were estimated by a new method. This method precluded the possibility of negative simulation survival rates. Analysis of carrot weevil population dynamics indicated that the egg mortality was density dependent with Anaphes sordidatus, an egg parasitoid, as a major density dependent factor. Larval mortality was less density dependent. Based on the mortality information, a simulation model for carrot weevil population dynamics was established. The simulation precision, evaluated by comparing simulated and observed egg and larval population dynamics, was satisfactory. Sensitivity analysis indicated that A. sordidatus had a large influence on carrot weevil population dynamics. The economic threshold for carrot weevil control in early carrots was 5 eggs/100 carrots at the peak population density. It ranged from 3.8 to 5.3 eggs/100 carrots in mid-season carrots depending on the selling price. A decision model showed that the best sowing date was after June 5 when risks were not considered. For risk aversion growers, sowing carrots between May 20 and May 31 was the best choice.

That Ghana derives her foreign exchange earnings mainly from cocoa and gold exports cannot be over emphasised. There is therefore the need to forecast these commodities prices as accurately as possible for proper planning and execution of major policies, since the prices have been notoriously volatile during the past two decades and attempts to stabilize especially the price of the beans (which contributes about 60% of the country's foreign exchange) through the system of buffer stock and export restrictions have not been successful. In this regard, autoregressive integrated moving averages models are built and used to generate short run forecasts for the beans and the precious metal price series. These models are simple to build and appear not only to describe the behaviour of the series but provide good forecasts of the prices.

Recently, microelectronics designs have reached extremely high operating frequencies as well as very small die and package sizes. This has made signal integrity an important bottleneck in the design process, and resulted in the inclusion of signal integrity simulation in the computer aided design flow. However, such simulations are often difficult because in many cases it is impossible to derive analytical models for certain passive elements, and the only available data are frequency-domain measurements or full-wave simulations. Furthermore, at such high frequencies these components are distributed in nature and require a large number of poles to be properly characterized. Simple lumped equivalent circuits are therefore difficult to obtain, and more systematic approaches are required. In this thesis we study the Vector Fitting techniques for obtaining such equivalent model and propose a more streamlined approach for preserving passivity while maintaining accuracy.

Road transport has a tremendous impact on local urban regions as well as global planetary health. This impact is especially great given the large quantities of greenhouse gases and local air pollutants released across the world, quantities that continue to increase. For metropolitan regions, reductions in traffic-related air pollution are paramount. Which baseline is used and which strategies should be implemented are both vital questions in this regard. Integrated transport and emissions models are important tools that aid metropolitan planners in answering those questions. A regional traffic assignment model has been connected to a detailed emission processor for the Montreal metropolitan region. The road transport model contains details on all private driving trips across a standard 24-hr workday, including congested link speeds and stochastic path distributions. Meanwhile, the emissions processor incorporates local vehicle registry data and Montreal-specific ambient conditions in the estimation of both running and start emissions. Outputs include hourly link-level and trip-level emissions for greenhouse gases, hydrocarbons, and nitrogen oxides. Three research studies were then explored that were anchored by the integrated transport and emissions model. The first involved testing model sensitivity to variations in input data and randomness. The second study was aimed at understanding the land-use and socioeconomic determinants of traffic-related air pollution generation and exposure. The third study encompassed an equity analysis of social disadvantage, traffic-related air pollution generation and exposure. Major findings include evidence that: start emissions and accurate vehicle registry data have the biggest impact on accurate regional emission inventories; neighbourhoods closer to downtown tend to be low emitters while having high exposures to traffic-related air pollution, while the opposite is true for neighbourhoods in the suburbs and periphery of the region; and marginalized neighbourhoods with high social disadvantage tend to have the highest exposure levels in the region, while at the same time generating some of the lowest quantities of traffic-related air pollution. These findings support the claim that traffic is creating environmental justice issues at the metropolitan level.
L'impact des systèmes de transports sur les régions urbaines et la santé planétaire est immense. Cet impact est notamment important parce-que les quantités de gaz à effet de serre et les polluants atmosphériques continuent à augmenter autour du monde. Pour les régions métropolitaines, les réductions de la pollution de l'air liée à la circulation sont essentielles. Cependant, quel point de référence est appliqué, et quelles stratégies devraient être mises en œuvre, sont deux questions vitales à cet égard. Une simulation intégrée du transport et des émissions est un outil important qui aide les planificateurs à répondre à ces questions. Une simulation de la circulation régionale a été liée à un simulateur des émissions détaillées pour la région métropolitaine de Montréal. La simulation de la circulation contient des détails sur tous les déplacements ‘auto conducteur' pour chaque heure d'une journée normale de travail, incluant la vitesse de circulation encombrée, et distributions des trajets stochastiques. Aussi, le simulateur des émissions incorpore des données sur les types de véhicules et les conditions ambiantes locales dans l'estimation des émissions de conduite et d'ignition. Les données produisent sont des quantités d'émissions horaires au niveau des routes et des déplacements pour les gaz a effet de serre, les hydrocarbures, et les oxydes d'azote. Trois études de recherche ont été basées sur les résultats de la simulation intégrée de la circulation et des émissions. La première examine la sensibilité de la simulation aux variations dans les données. La deuxième évalue si l'utilisation du sol ou les caractéristiques socio-économiques sont les déterminants de production ou d'exposition à la pollution de l'air liée à la circulation. La troisième inclue une analyse du désavantage social et de la production et de l'exposition à la pollution de l'air liée à la circulation. On observe que les émissions à l'ignition et les données d'immatriculation des véhicules ont le plus grand impact sur les inventaires des émissions régionales. En terme d'exposition à la pollution de l'air, les quartiers les plus proches du centre-ville ont tendance à produire le moins d'émissions tandis qu'ils ont les niveaux d'exposition les plus élevés dans la région, alors que l'inverse est vrai pour les quartiers de banlieue et à la périphérie. Les quartiers caractérisés par un index de désavantage social élevé ont les niveaux d'exposition les plus élevés et en même temps produisent de faibles taux d'émissions. Ces résultats appuient l'hypothèse que la circulation contribue aux problèmes de justice environnementale à l'échelle métropolitaine.

The Neural Integrator (NI) in the oculomotor system is a conceptual process presumed to perform mathematical integration of eye velocity related sensory signals into motor signals controlling ocular orientation (position) in the orbit. It participates in tasks such as maintaining gaze in space during head fixed or head-free viewing of targets. The NI is classically assumed to perform ideally (large time constants) and to be identical in all tasks. This thesis explores past assumptions on the time-invariant characteristics of the NI. During passive head movement in the dark and measurements of the horizontal Vestibulo-Ocular Reflex (VOR), the dynamics of the NI were found to vary dynamically, depending on head velocity and eye positional set-points. To investigate the observed phenomenon, we incorporated a nonlinear component into an existing model for the NI and attempted to emulate the context-dependent changes in the NI dynamics. To estimate the model parameters, optimization methods were used instead of the least squared based algorithms due to the more complex formulation of the nonlinear NI model. When comparing nonlinear NI model estimates during passive VOR responses in human subjects, the nonlinear parameters were found to differ greatly between vestibular patients and the control group; furthermore, the nonlinear model predicts apparent NI dynamics that are set-point dependent for most of the subjects, even in controls. The form and optimal set-point for the NI characteristics are well correlated with the side of a lesion in patients, even after compensation. Furthermore, the non-linear NI formulation provides better fits on ocular data, than the presumed idea
L'intégrateur neural (IN) dans le système oculomoteur est un processus conceptuel présumé d'effectuer l'intégration mathématique des signaux sensoriels relatifs à la vitesse de l'oeil en signaux moteurs commandant l'orientation oculaire (position de l'oeil) dans l'orbite. L'IN participe aux tâches telles que maintenir le regard dans l'espace pendant le visionnement des cibles à tête fixe ou libre. Classiquement, l'IN est supposé intégrer idéalement (avec de grandes constantes de temps) et identiquement dans toutes les tâches. Cette thèse explore les anciennes prétentions sur les caractéristiques temps-invariables de l'IN. Durant le mouvement passif de la tête dans l'obscurité et en mesurant le réflexe Vestibulo-Oculaire (RVO) horizontal, la dynamique de l'IN s'est avérée de varier dynamiquement, selon la vitesse de la tête et les points de consigne de la position de l'œil. Pour étudier le phénomène observé, nous avons incorporé un composant non linéaire à un modèle existant de l'IN et nous avons essayé d'émuler les changements contexte-dépendants dans les dynamiques de l'IN. Pour estimer les paramètres du modèle, des méthodes d'optimisation ont été employées au lieu des algorithmes basés sur le moindre carré à cause de la formulation plus complexe du modèle non linéaire de l'IN. En comparant des évaluations non linéaires du modèle pendant des RVO passives chez des sujets humains, on a trouvé que les paramètres non linéaires diffèrent considérablement entre les patients vestibulaires et le groupe de control; de plus, le modèle non linéaire prévoit les dynamiques apparentes de l'IN qui dépendent de la point de con

A major limitation of acousto-optic (AO) leaky-mode modulator based holographic displays is their inability to present full-parallax. We propose that full-parallax capabilities can be bestowed on these displays by integrating an electro-optic (EO) phased array into the architecture. We validated this concept by rendering computational models and by fabricating and testing a basic two-axis AO/EO deflector prototype in lithium niobate. This was, to our knowledge, the first instantiation of an integrated, hybrid AO/EO deflector. The prototype had a 6° deflection range along the AO-axis, and a 3° deflection range along the EO-axis. A series of models provide us with a clear path forward for optimizing this deflector. They suggest that an AO/EO modulator with an EO deflection range of 24.5° and that requires less than 7.5 V can be fabricated within the limitations of standard photolithography.

As futuras utilizações de sistemas de controle em automóveis seguirão a tendência de integração, através do desenvolvimento de sistemas de controle integrados capazes de coordenar as ações dos vários subsistemas que compõem o veículo. Esta coordenação e integração requerem que as integrações entre os subsistemas sejam levadas em conta já nos primeiros estágios de projeto, levando ao desenvolvimento de modelos completos de veículos. Neste sentido, o comportamento dinâmico de um veículo de quatro rodas é analisado através de técnicas de modelagem de sistemas multicorpos utilizando-se o programa ADAMS. Posteriormente, são gerados modelos lineares obtidos através do Jacobiano das equações do modelo original, resultando em uma gama de equações na forma de espaço de estados. O modelo linearizado é então submetido a vários tipos de simulações e os resultados são comparados às respostas do modelo não linear de modo a validar as aproximações lineares em diferentes condições de operação do veículo. São também desenvolvidos dois sistemas de controle de suspensão baseados em técnicas de controle ótimo como duas diferentes abordagens: um controlador skyhook que foi implementado no modelo não linear desenvolvido no ADAMS e um controle de suspensão baseado em um controlador RLQ (Regulador Linear Quadrático), com realimentação de saída que utiliza os modelos linearizados na forma de espaço de estados, sendo este último implementado através da co-simulação ADAMS/Matlab. O sistema de controle de suspensão desenvolvido é um primeiro passo na tentativa de projeto de um sistema de controle integrado do movimento.
Future applications of control in automotive vehicles will follow a trend towards system integration, leading ultimately to the development of integrated vehicle control systems capable of coordinating the action of the various subsystems. The coordination and integration of automotive vehicle subsystems require the interaction amongst the various subsystems to be taken into consideration at the control design stages, resulting in full vehicle models. Therefore, a nonlinear 10 degree of freedom model is obtained through MBS modelling techniques present in ADAMS package software. Then, a linear model is obtained by linearization of the system equations through the Jacobian facility also present in ADAMS. The resulting linearised models are simulated and their response are compared to the previous non-linear one in order to validate the linear approximations. This work also presents two distincts suspension control systems based in optimal control theory: a skyhook controler designed at ADAMS (with the non-linear vehicle model) and a LQR (Linear Quadratic Regulator) with output feedback based on the state space linear vehicle model. This last one was designed through ADAMS/Matlab co-simulation facilities. This designed suspension control is a first attempt to future developments of integrated vehicle control.

Hydrologic models are becoming increasingly important in the planning, design, operation and management of natural and engineered systems. However, development of such models is complicated by the fact that the underlying physical processes are extremely complex and that the observation and measurement of these processes are expensive and difficult. Consequently, simplified models are generally used in practice for purposes such as baseflow estimation and rainfall-runoff prediction. However, it is difficult to provide a rigorous assessment of how well such simplified models perform under a range of catchment characteristics (e.g. catchment area, soil type, slope) and hydrological inputs (e.g. rainfall, evaporation) and how well they are able to capture the underlying physical processes. In addition, without such assessments, it is difficult to change model structure and parameterization in order to improve the models’ predictive capability and the ability to better represent physical processes. In order to address these shortcomings, in this research, generic frameworks for (i) evaluating and improving recursive digital filters (RDFs) for baseflow estimation and (ii) evaluating the internal dynamic performance of conceptual rainfall runoff (CRR) models are developed and applied. The underlying premise of the frameworks is that fully integrated surface water/groundwater (SW/GW) models are able to provide the best possible approximation to the physical processes of water flow within catchments and can therefore be used as a benchmark against which the performance of these simplified models can be assessed for a variety of physical catchment characteristics and hydrological inputs. The major research contributions are presented in three journal publications. These publications describe: 1) the development of frameworks to evaluate and improve RDF performance for baseflow estimation based on catchment characteristics and hydrological inputs and their application to a single RDF under a limited number of catchment characteristics; 2) the application of the frameworks developed in the first paper to three RDFs under a larger range of catchment characteristics and hydrological inputs, as well as the development of regression equations for predicting RDF performance and optimal RDF parameters for improving RDF performance; and 3) the development and application of framework to evaluate the internal dynamic performance of one commonly used CRR model-Australian Water Balance Model (AWBM) under different calibration regimes under a larger range of catchment characteristics and hydrological inputs. Consequently, this research has developed a new way of evaluating and improving commonly used simplified hydrologic models for baseflow estimation and rainfall-runoff prediction.
Thesis (Ph.D.) -- University of Adelaide, School of Civil, Environmental and Mining Engineering, 2013

abstract: Isolated DC/DC converters are used to provide electrical isolation between two supply domain systems. A fully integrated isolated DC/DC converter having no board-level components and fabricated using standard integrated circuits (IC) process is highly desirable in order to increase the system reliability and reduce costs. The isolation between the low-voltage side and high-voltage side of the converter is realized by a transformer that transfers energy while blocking the DC loop. The resonant mode power oscillator is used to enable high efficiency power transfer. The on-chip transformer is expected to have high coil inductance, high quality factors and high coupling coefficient to reduce the loss in the oscillation. The performance of a transformer is highly dependent on the vertical structure, horizontal geometry and other indispensable structures that make it compatible with the IC process such as metal fills and patterned ground shield (PGS). With the help of three-dimensional (3-D) electro-magnetic (EM) simulation software, the 3-D transformer model is simulated and the simulation result is got with high accuracy. In this thesis an on-chip transformer for a fully integrated DC/DC converter using standard IC process is developed. Different types of transformers are modeled and simulated in HFSS. The performances are compared to select the optimum design. The effects of the additional structures including PGS and metal fills are also simulated. The transformer is tested with a network analyzer and the testing results show a good consistency with the simulation results when taking the chip traces, printed circuit board (PCB) traces, bond wires and SMA connectors into account.
Dissertation/Thesis
Masters Thesis Electrical Engineering 2014

碩士
雲林科技大學
營建工程系碩士班
96
Taiwan high speed railway bridge on the large-scale use of the Full-Span Precast Launching Method( FPLM), the introduction of such a method widely used by Taiwan, especially Taiwan High Speed Rail C250 and C280 of the tenders for the construction of the main force of law, so the whole cross-know - Lifting the casting method has considerable advantages. In this paper, the law on such an in-depth study, based on integrated structure of the lower part of the piers of discussion and summed up operations to track the item contains the Full-Span Precast Launching Method production, transport and lifting the lower part of the construction of piers, scheduled to be in line with the three under construction process to be carried out smoothly. pier for a time to wait for strength to carry out the Full-Span Precast Launching Method, will affect the entire Full-Span Precast Launching the planning and production scheduling; again before beam car must be good casting has reached the design strength precast delivered to the hanging-beam, so the rate of production precast, Precast module, the pier-based application are the main focus of this study. In this study, Full-Span Precast Launching Method as the main theme in the collection, recalling the recent development planning restrictions, and the entire Full-Span Precast Launching Method of operation and the relevant substantive documentation, integration of the entire Full-Span Precast Launching Method for production and application time-to the piers. This study developed an integinted planning model, and ILOG OPL Studio software for late completion of limitations does not meet the conditions, goals for the shortest time limit for the total issue, the establishment of an optimal Precast beam and the lower part of the pier structure integrated planning operations. The manufacturers, pre-construction in the "planning " and the construction of the "progress of control", can rely on access to the data for its use and reference, try to exclude the imprecise traditional planning model, this is the greatest contribution of this study .

by Gilbert Chiu-sing Lui.
Thesis (M.Phil.)--Chinese University of Hong Kong, 1997.
Includes bibliographical references (leaves 112-117).
Chapter 1. --- Introduction --- p.1
Chapter 2. --- Models and Assumptions --- p.4
Chapter 3. --- Asymptotics of FM-SEA Estimators --- p.15
Chapter 3.1. --- Model without Determinstic Trends --- p.15
Chapter 3.2. --- Model with Determinstic Trends --- p.27
Chapter 4. --- Asymptotics of FM-SEA Estimators of VAR System --- p.33
Chapter 4.1. --- General Model --- p.33
Chapter 4.2. --- Model with d = 4 --- p.44
Chapter 5. --- Monte Carlo Experimental Results --- p.49
Chapter 6. --- Conclusion --- p.54
Chapter 7. --- Mathematical Appendix --- p.56
Chapter 8. --- References --- p.112

Packaging is an important element responsible for brand growth and one of the main rea-sons for producers to gain competitive advantages through technological innovation. In this re-gard, the aim of this work is to design a fully autonomous electronic system for a smart bottle packaging, being integrated in a European project named ROLL-OUT. The desired application for the smart bottle is to act as a fill-level sensor system in order to determine the liquid content level that exists inside an opaque bottle, so the consumer can exactly know the remaining quantity of the product inside. An in-house amorphous indium–gallium–zinc oxide thin-film transistor (a-IGZO TFT) model, previously developed, was used for circuit designing purposes. This model was based in an artificial neural network (ANN) equivalent circuit approach. Taking into account that only n-type oxide TFTs were used, plenty of electronic building-blocks have been designed: clock generator, non-overlapping phase generator, a capacitance-to-voltage converter and a comparator. As it was demonstrated by electrical simulations, it has been achieved good functionality for each block, having a final system with a power dissipation of 2.3 mW (VDD=10 V) not considering the clock generator. Four printed circuit boards (PCBs) have been also designed in order to help in the testing phase. Mask layouts were already designed and are currently in fabrication, foreseeing a suc-cessful circuit fabrication, and a major step towards the design and integration of complex trans-ducer systems using oxide TFTs technology.