Novel methods and apparatus used to measure high-speed state of polarization changes are developed. Knowledge of the effects of mechanical impacts on the state of polarization will benefit the reliability of optical communication systems. The impact creates a high-speed but continuous motion of the state of polarization over the Poincar´e sphere. The maximum speed at which the state of polarization changes due to an impact is shown to be higher than what has been reported previously. The investigation into the state of polarization changes led to the discovery of the repeatability and elasticity of state of polarization changes due to mechanical impacts. The repeatability and elasticity allow novel measurements of important polarization effects in optical fibres such as high-speed polarization mode dispersion and rotation vector measurements.

A study was made to evaluate how current measurementscould help to determine how particles from fish farms are dispersed. During sixweeks of the summer 2012, two different current measurements were conducted.One of them consisted of measurements each fifth minute at 5 m and 15 m atthree locations for 14-16 days each. The other consisted of profilemeasurements at each location at four times during the period of six weeks. Forthe current measurements two instruments (model RCM 9) were used. A two weekmeasurement can give enough data to make an evaluation of how the currents at alocation will transport litter from a fish farm. A longer probing time wouldhowever be desirable since the currents along the northern east coast of Swedenare mainly driven by factors that are changing during the year such as airpressure, temperature, precipitation etc. Water current measurements can be ofgreat help both when determining how particles from a fish farm is dispersedand also for governing authorities in the processes of both allowing new fishfarms and also when supervision of fish farms is needed.

In the event of a hazardous release (chemical, biological, or radiological) in an urban environment, monitoring agencies must have the tools to locate and characterize the source of the emission in order to respond and minimize damage. Given a finite and noisy set of concentration measurements, determining the source location, strength and time of release is an ill-posed inverse problem. We treat this problem using Bayesian inference, a framework under which uncertainties in modelled and measured concentrations can be propagated, in a consistent, rigorous manner, toward a final probabilistic estimate for the source. The Bayesian methodology operates independently of the chosen dispersion model, meaning it can be applied equally well to problems in urban environments, at regional scales, or at global scales. Both Lagrangian stochastic (particle-tracking) and Eulerian (fixed-grid, finite-volume) dispersion models have been used successfully. Calculations are accomplished efficiently by using adjoint (backward) dispersion models, which reduces the computational effort required from calculating one [forward] plume per possible source configuration to calculating one [backward] plume per detector. Markov chain Monte Carlo (MCMC) is used to efficiently sample from the posterior distribution for the source parameters; both the Metropolis-Hastings and hybrid Hamiltonian algorithms are used. In this thesis, four applications falling under the rubric of source determination are addressed: dispersion in highly disturbed flow fields characteristic of built-up (urban) environments; dispersion of a nonconservative scalar over flat terrain in a statistically stationary and horizontally homogeneous (turbulent) wind field; optimal placement of an auxiliary detector using a decision-theoretic approach; and source apportionment of particulate matter (PM) using a chemical mass balance (CMB) receptor model. For the first application, the data sets used to validate the proposed methodology include a water-channel simulation of the near-field dispersion of contaminant plumes in a large array of building-like obstacles (Mock Urban Setting Trial) and a full-scale field experiment (Joint Urban 2003) in Oklahoma City. For the second and third applications, the background wind and terrain conditions are based on those encountered during the Project Prairie Grass field experiment; mean concentration and turbulent scalar flux data are synthesized using a Lagrangian stochastic model where necessary. In the fourth and final application, Bayesian source apportionment results are compared to the US Environmental Protection Agency's standard CMB model using a test case involving PM data from Fresno, California. For each of the applications addressed in this thesis, combining Bayesian inference with appropriate computational techniques results in a computationally efficient methodology for performing source determination.

Novel methods and apparatus used to measure high-speed state of polarization changes are developed. Knowledge of the effects of mechanical impacts on the state of polarization will benefit the reliability of optical communication systems. The impact creates a high-speed but continuous motion of the state of polarization over the Poincar´e sphere. The maximum speed at which the state of polarization changes due to an impact is shown to be higher than what has been reported previously. The investigation into the state of polarization changes led to the discovery of the repeatability and elasticity of state of polarization changes due to mechanical impacts. The repeatability and elasticity allow novel measurements of important polarization effects in optical fibres such as high-speed polarization mode dispersion and rotation vector measurements.

This paper discussed a way of applied stress to control the photonic crystal fiber dispersion curve, so that it can act on the anomalous dispersion or normal dispersion region area. By this way, we can design the pulse compressor and pulse stretcher for higher peak power laser system. Recently, high-power shortpulse laser has become an indispensable tool in many field, using short-pulse laser oscillator, combined with chirped-frequency amplification technology to produce high-power short-pulse laser system can be used for industrial or medical applications. The all-fiber laser system not only provide better pulse quality and also increased pulse laser system on the stability of the environment.

Long-haul optical fiber communication system is an important technology to support the latest broadband communication in the world, and there is strong competition in optical long-haul transmission to achieve high channel bit rates and large transmission capacity. Therefore, it is important to study a technology to improve the performance of such system. As we have already known, return-to-zero differential phase shift keying (RZ-DPSK) is an attractive solution to improve the long distance transmission system performance compared to the conventional on-off keying (OOK) in a 10-Gb/s system, because it has a high nonlinear tolerance. The dispersion flattened fiber (DFF) is attractive for its ability to improve the system performance. Therefore, it is possible to improve the transmission performance by a combination of the RZ-DPSK and the DFF, and one important technology of the current long-haul optical fiber communication system is the dispersion map. And it is widely deployed for already installed undersea optical fiber communication system in the world. A previous study reported that the blockless type dispersion map showed a superior performance than the block type dispersion map, and some efforts to improve the transmission performance of the block type map were conducted. Fundamental idea to improve the transmission performance of the block type map is to reduce the zero crossing points, and one idea is to shift the map toward the positive or the negative cumulative dispersion to reduce the zero crossing points within the map, but it was not so successful. The other idea is to tilt the dispersion map and it was more successful but not good enough. In this master thesis, I continued the study to improve the long-haul RZ-DPSK system performance using the block type dispersion map. One new idea of the dispersion map shifting, the split shifting, was tried, and another new idea of the dispersion map tilting, the split tilting, was examined. The performance with different repeater output power and different compensation scheme within the dispersion map was simulated by a numerical simulator .The goal is, following previous research, to clarify improved dispersion map design of the long-haul RZ-DPSK based transmission and find the effective method to improve the transmission performance. In addition, I also investigate tolerance of the effective area of the transmission fiber theoretically for the long-haul RZ-DPSK system based on the DFF.

Emission factors (EFs) and results from dispersion models are key components in the air pollution regulatory process. The EPA preferred regulatory model changed from ISCST3 to AERMOD in November, 2007. Emission factors are used in conjunction with dispersion models to predict 24-hour concentrations that are compared to National Ambient Air Quality Standards (NAAQS) for determining the required control systems in permitting sources. This change in regulatory models has had an impact on the regulatory process and the industries regulated. In this study, EFs were developed for regulated particulate matter PM10 and PM2.5 from cotton harvesting. Measured concentrations of TSP and PM10 along with meteorological data were used in conjunction with the dispersion models ISCST3 and AERMOD, to determine the emission fluxes from cotton harvesting. The goal of this research was to document differences in emission factors as a consequence of the models used. The PM10 EFs developed for two-row and six-row pickers were 154 + 43 kg/km2 and 425 + 178 kg/km2, respectively. From the comparison between AERMOD and ISCST3, it was observed that AERMOD EFs were 1.8 times higher than ISCST3 EFs for Emission factors (EFs) and results from dispersion models are key components in the air pollution regulatory process. The EPA preferred regulatory model changed from ISCST3 to AERMOD in November, 2007. Emission factors are used in conjunction with dispersion models to predict 24-hour concentrations that are compared to National Ambient Air Quality Standards (NAAQS) for determining the required control systems in permitting sources. This change in regulatory models has had an impact on the regulatory process and the industries regulated. In this study, EFs were developed for regulated particulate matter PM10 and PM2.5 from cotton harvesting. Measured concentrations of TSP and PM10 along with meteorological data were used in conjunction with the dispersion models ISCST3 and AERMOD, to determine the emission fluxes from cotton harvesting. The goal of this research was to document differences in emission factors as a consequence of the models used. The PM10 EFs developed for two-row and six-row pickers were 154 + 43 kg/km2 and 425 + 178 kg/km2, respectively. From the comparison between AERMOD and ISCST3, it was observed that AERMOD EFs were 1.8 times higher than ISCST3 EFs for absence of solar radiation. Using AERMOD predictions of pollutant concentrations off property for regulatory purposes will likely affect a source?s ability to comply with limits set forth by State Air Pollution Regulatory Agencies (SAPRAs) and could lead to inappropriate regulation of the source.

Usually, consumers will collect market information about the product before they decide to buy it or not. In other words, the market information is a critical factor to affect consumers¡¦ purchasing intensions and behavior. Previous research points out that when consumers encounter a wider dispersion of price, they will expect to find cheaper stores. Besides, future price is often considered by consumers too. Kauffman et al. (2002) mentioned that the market price information might affect the recruiting of group buying. In a competitive market, if consumers are unable to perceive the utility of discounts provided by group-buying mechanism, they may shop at other retailers¡¦ stores. Further, because the final price of group buying will not be known until the transaction is closed, consumers¡¦ decisions might be up to their prediction about the final price. This study explores how price dispersion and price volatility affect consumers¡¦ internal reference price and expectation of final price of group buying. The difference between the internal reference and expectation of final price of group-buying indicates the consumers¡¦ transaction utility. How transaction utility affects consumers¡¦ intentions to join group buying is another issue being studied. In addition, if there is interference effect of consumers¡¦ risk attitude on final price forecast of group-buying, it¡¦s investigated, too. The result indicates that price dispersion has significant effects on consumers¡¦ all kinds of internal reference prices and predictions about the final price of group buying. However, the price volatility only has significant effects on consumers¡¦ perceived fair price, aspiration price, and reservation price. Neither significant effect of price volatility on consumers¡¦ price prediction of group buying nor interference effect of risk attitude is found. As expected, there is a significant positive causal relationship between transaction utility and intention to join group-buying. It shows that the transaction utility resulting from the comparison between the lowest market price and the most possible final price of group buying has the most explanatory power to predict consumers¡¦ participating intension to join group-buying.

Based on a full-wave formulation, a vector boundary element method (VBEM) is proposed to model the photonic crystal fibers (PCFs) (microstructured fibers). The accuracy and efficiency of the approach are confirmed by comparing the results calculated with those in previous literatures. With employing the VBEM, the guiding characteristics, including the effective indexes, vector mode patterns, and the polarization properties of the PCFs are investigated. There polarization characteristics of the PCFs with elliptical air holes (EPCFs) and the one ring air-hole EPCF embedded in the step-index core are studied and discussed. In addition, based on the VBEM formulations, a novel and efficient numerical approach to calculate the dispersion parameters of the PCFs is also proposed. The effect of the PCF geometrical structure on the group velocity dispersion property is reviewed, and then the one-ring defect and two-ring defect PCFs are studied and designed for the ultra-flattened dispersion applications. As an example, a four-ring (two-ring defect) PCF with flattened dispersion of ¡Ó0.25 ps/km/nm from 1.295£gm to 1.725£gm wavelength is numerically demonstrated.

The area of the digital image processing is getting more attention in the hope that it will increase the accuracy of any scientific measurements, such as in determining an object velocity, temperature, and size. While human vision is excellent to recognize and differentiate objects, it has been proven to be a poor tool when it comes to measure the object performance. One of many digital image processing applications is texture analysis whose purpose is to evaluate image patterns. The purpose of this dissertation is to investigate the use of texture analysis as a tool to micro fiber dispersion measurement. Micro fiber dispersion can be found in many applications such as in paper and industry powder engineering. Three cases related to micro fiber dispersion were investigated in this study. The first case was the experimental study of the dispersion in open water channel. Sets of synthetic fibers were put into water channel to simulate a process that can be found in papermaking industry. The research investigated the effect of three operating parameters: fluid velocity, fiber consistency, and fiber aspect ratio to fiber dispersion. Using two-factorial experimental design technique, the main and interaction effects of these parameters were evaluated. The study found that increasing fluid velocity, fiber aspect ratio, and consistency decreased the dispersion level. The study also found that the effect of individual parameters is more pronounced than the role of the interactive terms on the fiber flocculation. The second case considered was applying the fiber dispersion analysis to computer-synthesized images consisting of different arrangements of fibers. Four sets of sub-cases were presented. These sub-cases were divided based on the fiber-concentrated location and fiber distribution. The use of computer-synthesized images was found to be very useful to simulate real situation during fiber dispersion. The third case investigated the fiber distribution on a dry paper. Images for different types of paper were taken and evaluated to see the dispersion level of each type of paper. It was found that the current texture analysis was applicable to determine the dispersion level for dry papers. While three cases indicated that the texture analysis can be used to investigate the fiber dispersion, the texture analysis used here is not a perfect and universal method and may not be suitable to analyze other types of dispersions. The human vision will always be essential to determine if the texture analysis is applicable to any other problem.