With the increase in atmospheric CO2 concentrations, and the resulting potential for climate change, there has been increasing research devoted to understanding the factors that determine the magnitude of CO2 fluxes and the feedback of ecosystem fluxes on climate. This thesis is an effort to investigate the feasibility of using alternate methods to measure and estimate the CO2 exchange rates in the northern mixed grass prairie. Specifically, the objectives are to evaluate the capability of using ground-level hyperspectral, and satellite-level multispectral data in the estimation of mid-season leaf CO2 exchange rates as measured with a chamber, in and around Grasslands National Park (GNP), Saskatchewan. Data for the first manuscript was collected during June of 2004 (the approximate period for peak greenness for the study area). Spectral reflectance and CO2 exchange measurements were collected from 13 sites in and around GNP. Linear regression showed that the Photochemical Reflectance Index (PRI) calculated from hyperspectral ground-level data explained 46% of the variance seen in the CO2 exchange rates. This indicates that the PRI, which has traditionally been used only in laboratory conditions to predict CO2 exchange, can also be applied at the canopy level in grassland field conditions. <p>The focus of the second manuscript is to establish if the relationship found between ground-level hyperspectral data and leaf CO2 exchange is applicable to satellite-level derived vegetation indices. During June of 2005, biophysical and CO2 exchange measurements were collected from 24 sites in and around GNP. A SPOT satellite image was obtained from June 22, midway through the field data collection. Cubic regression showed that Normalized Difference Vegetation Index (NDVI) explained 46% of the variance observed in the CO2 exchange rates. To our knowledge, this is the first time that a direct correlation between satellite images and leaf CO2 fluxes has been shown within the grassland biome.

In-process turbine monitoring has been a subject of research since the advent of gas turbines; however, it is difficult because it requires precision measurements to be made at high speeds and temperatures. The measurement of turbine blade tips is especially intriguing because of the potential it holds to greatly increase the efficiency of engine operation and maintenance. Tip-to-casing clearance is one of the major sources of inefficiency in a turbine and monitoring of this clearance would allow active tip-clearance control systems to be implemented. Also, analysis of engine wear through vibration monitoring may increase the effectiveness of engine maintenance and repair. A sensor recently developed at Georgia Tech could answer this challenge. The sensor operates by measuring the phase change of reflected microwaves to measure blade tip displacement. It is robust even in the harsh turbine environment. However, in sensor measurements, the microwave beam pattern causes a phenomenon called spatial filtering to occur, which may compromise the precision of measurements. Since the beam is not a thin line reflecting off a single point on the turbine blade, measurements are a weighted average of measurements along the entire surface within the field-of-view of the sensor. The net effect is a blurred measurement. In measuring turbine blades, only the tip is vital, so the blurring in between blades is not extremely detrimental. However, changing measurement geometry affects the amount of spatial filtering and hence the accuracy of the measurement. This thesis presents a detailed analysis of this phenomenon and especially its effect on turbine blade tip clearance measurements. A design of experiments is presented to qualitatively understand the effect of geometric factors on tip measurements. Along with experimentation, a robust, three-dimensional, ray-tracing, electromagnetic model is presented which was developed to further understand spatial filtering and to analyze specific geometric factors in the measurement of turbine blades. The research shows that microwave measurements may still be made to sufficient accuracy even considering the effect of spatial filtering, and by quantifying spatial filtering in measurements, it may be possible in to glean additional useful data from measurements.

This study mainly explores the effect of market states (price and returns) on the relationship between spot and futures oil prices and targets three important issues: long-run cointegration, causalities, and market efficiency. Based on previous studies exhibiting bi-directional causality between spot and futures oil prices, this study employs quantile regressions to examine the possible feedback effect in their long-run cointegration and their causalities. In particular, it allows for exploring the possible asymmetric responses between spot and futures markets. The empirical results herein find that the long-run cointegrated relationship between contemporaneous spot and futures prices is impacted by the states of the spot markets. Similarly, whether futures oil prices lead spot oil prices is relevant with the states of the futures markets. This study also examines the efficiency of crude oil markets and shows that the efficiency is related to the length of futures contracts. These findings offer some implicative suggestions and strategies.

There are gradually prosperous trades in foreign exchange markets, agents could hedge, speculate and arbitrage in markets. Market efficiency and whether future spot rates could be predicted by forward rates are worthy of investigate. Hakkio and Rush (1989) demonstrated that cointegration is a necessary condition for market efficiency hypothesis, so that the examination of cointegration to investigate the long-run relationship between the spot rates and forward rates is important. We consider a new method -- stochastic coinegration which contains heteroscedastic and stationary cointegration, to re-examine the relationships between spot and forward rates. The feature of stochastic cointegraion is that the cointegrating residuals contain the integrated of order one process and heteroscedastic integrated process. However the special residuals would stochastically trendless over time, so that the spot rates and forward rates has long run equilibrium relationship. Conclusively, the future spot rates empirically are stochastic (and conventional) coinegrated with forward rates in Taiwan, Japan, and Singapore.

There are gradually prosperous trades in foreign exchange markets, agents could hedge, speculate and arbitrage in markets. Market efficiency therefore is worthy of investigate in international finance. According to simple market efficiency hypothesis, the long-run relationship wound exist between spot exchange rate and forward exchange rate as foreign exchange markets are efficient. In the purpose of this study is to examine the long-run relationship between spot exchange rate and forward exchange rate by cointegration theory. We consider a new method¡Ðpanel cointegration that data sets contain not only time series also corss sections, to re-examine the relationship between spot and forward exchange rates. Conclusively, the results of cointegration relationships exist between spot and forward exchange rates in Taiwan, Singapore, Japanese, and Canada by applying panel cointegration model.

Electro¡VAbsorption Modulator has become a very important element in optical fiber communication due to its capability of integrating with other semiconductor devices. In order to get high-speed performance, the small size of waveguides is necessary. But it also brings to high coupling loss, resulting in low optical fiber link. In general, the waveguide mode is elliptical shape with sizes of 1¡Ñ2£gm to 1¡Ñ3£gm, which will definitely lead to high mode mismatch as adapted to conventional single¡Vmode optical fibers of 8£gm circular mode and cause 7~10 dB insertion loss[21]. Typically, micro lens, tapered fibers or taper optical waveguides are used to confine optical fiber mode to waveguide in order to reduce the insertion loss. In the thesis, we have developed a novel structure of tapered optical spot-size mode converter monolithically integrated with traveling-wave electro-absorption modulator (TWEAM) by using whole wet-etching processing. The optical waveguides are fabricated by wet-etching and subsequent selective undercut etching. By adjusting the wet-etching time, the waveguide core for TWEAM and the tapered spot-size mode converter can thus be engineered. The selective undercut wet etching not only can reduce the optical scattering loss, but also decrease the parasitic capacitance, leading to high optical and microwave transmission of TWEAM. Based on the model described in literature [4-8] and also Beam Propagation Method (BPM), the optical index of epi-layers is used to calculate the three¡Vdimension modal of optical mode and coupling efficiency. The microwave equivalent circuit is used to calculate and design device structure. In this thesis, the Spot¡VSize Converter monolithically with Traveling¡VWave Electro¡VAbsorption Modulator device is successfully fabricated and demonstrated. TWEAM integrated spot-size optical mode converter is measured and compared with single TWEAM (without converter) with optical wavelength of from 1550nm to 1570nm. The average optical insertion loss of about 4dB is found. The maximum extinction-ratio is about 21dB with modulation efficiency of 21dB/V, E-O response about 12GHz of ¡V3dB bandwidth at 50£[ termination is demonstrated.

In this thesis, the decision-making problem of a GenCo¡¦s bids is formulated and solved by a fuzzy approach to strategic games. It is assumed that only supply-side bidding is considered in the spot market and a player hopes to determine his bids to maximize his own expected payoffs. By means of fuzzy membership functions and operations, a multi-criteria method is used to analyze the player¡¦s choices. Decision maker can decide what kind of strategy combination is optimal by using weight vector to represent his subjective attitude and moral features about the structure of multi-objectives. From this process, a decision can be made more easily, and the results are also close to reality which is not easily modeled by probabilistic method in the classical game theory. Numerical examples with a game of two GenCo¡¦s and a price-elastic demand are offered to illustrate the salient features of the proposed approach.

No description available.

The automotive industry is adopting lightweight materials to improve emissions and fuel economy. Magnesium (Mg) alloys are the lightest of engineering metals, but work is required to assess their structural strength, especially for spot-welded applications. In the present research, fatigue behavior of magnesium spot-welds was characterized and compared with steel and aluminum spot-welds. A fatigue model was proposed to predict the failure location and crack initiation life in magnesium structures. The material under investigation, AZ31B-H24 Mg alloy, and its spot-welds were characterized from microstructural and mechanical perspectives. Microstructure and hardness of the base metal (BM) and different regions in the spot-welds were studied. Under cyclic loading, the BM had an asymmetric hysteresis loop. Cyclic behavior of magnesium spot-welds was measured using different specimen configurations, and the effect of geometrical factors on fatigue life was evaluated. A constitutive model was developed to model the asymmetric hardening behavior of wrought magnesium alloys under cyclic loading. An algorithm for numerical implementation of the proposed model was developed. The numerical formulation was programmed into a user material subroutine to run with the commercial finite element software Abaqus/Standard. The proposed model was verified by solving two problems with available solutions. A number of available fatigue models, as well as a new model proposed in this research were assessed by predicting fatigue life of magnesium spot-welds. The new model used a strain energy damage parameter. All models were evaluated by comparing the predicted and experimental fatigue lives for different Mg spot-welded specimens. The effect of considering the asymmetric hardening behavior of wrought magnesium alloys on the accuracy of the fatigue life prediction was not significant for the available experimental data. This was attributed to the limited experimental data on spot-welded specimens. The proposed material model and fatigue damage parameter were verified by simulating a real-life structure manufactured and fatigue tested by the US Automotive Materials Partnership. The results obtained from the proposed asymmetric model were compared with available symmetric simulation results and experimental data. The asymmetric material model along with the proposed damage parameter resulted in more accurate prediction of fatigue failure location and life.

In order to meet the increasing fuel efficiency requirements, the automotive industry has strived for component weight reduction in order to improve the performance of automotive vehicles through the use of light Al and Mg alloys. Resistance spot welding (RSW) currently is the primary joining method in the manufacturing of automotive assemblies. With the increased use of Al and Mg, there is a pressing need for a technology to produce dissimilar Al/Mg joints, and preferably by RSW since this technology is already prevalent in the industry. Direct welding of Al to Mg usually results in formation of hard and brittle intermetallic compounds and poor quality of the welds. Employing an interlayer is a promising approach to overcome this problem. Current literature, however, does not consider the effects of different interlayers on RSW of Al to Mg. This thesis examines effects of different interlayers on microstructure and mechanical properties of Al/Mg joints made by RSW. Effects of three types of interlayers, specifically pure Ni foil, Au-coated Ni foil and Zn-coated were investigated in details. While only brief investigation of joints made with Sn-coated steel, Zn foil, and Cu foil interlayers was conducted. No joints were achieved with a bare Ni interlayer during Al to Mg alloy resistance spot welding, as coupons separated without applying any force. The Ni interlayer remained intact and Al-Mg intermetallic compounds did not form. Addition of Au coating on Ni surface greatly contributed to the metallurgical bonding at the interfaces and welds easily met requirements of the AWS D17.2 standard. Average lap-shear strength reached 90% of that in similar AZ31B resistance spot welds. Acceptable welds were also produced using galvanised Zn-coated steel interlayer, which easily met strength requirements of the AWS D17.2 standard. Average failure load reached 74% of same size similar AZ31B joints. The steel interlayer was not melted which prevented mixing of Al and Mg. The Zn coating on the steel interlayer was melted and squeezed to the nugget periphery, providing a clean steel surface for welding-brazing in the center and acting as a solder metal at the periphery. A feasibility study of Al/Mg RSW with Sn-coated steel, Zn foil and Cu foil interlayers was also conducted. Mechanical properties of welds made with Sn-coated steel interlayer were very similar to those made with Zn-coated steel interlayer. While welds made with only a Zn foil interlayer were much weaker. The Zn foil completely melted during the welding which resulted in formation of brittle Al-Mg-Zn phases. None of the welds made with Zn foil interlayer met requirements of the AWS D17.2 standard. RSW of Al to Mg with Cu foil interlayer also could not produce welds with acceptable strength.