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Typescript (photocopy) / Digitized by Kansas Correctional Industries

Call number: LD2668 .T4 1958 R47

ITC/USA 2006 Conference Proceedings / The Forty-Second Annual International Telemetering Conference and Technical Exhibition / October 23-26, 2006 / Town and Country Resort & Convention Center, San Diego, California / For the final evaluation of a GPS attitude determination algorithm, it was determined its true performance in terms of accuracy, reliability and dynamic response. To accomplish that, a flight test campaign was carried out to validate the attitude determination algorithm. In this phase, the measured aircraft attitude was compared to a reference attitude, to allow the determination of the errors. The system was built using non-dedicated airborne GPS receivers, and a complete Flight Tests Instrumentation (FTI) System. The flight test campaign was carried out at the Brazilian’s Flight Test Group T-25C 1956 Basic Trainer aircraft. The performance and accuracy of the system is demonstrated under static and dynamics tests profiles, which are fully compliant with the Federal Aviation Administration (FAA) Advisory Circular (AC) 25-7A. Dynamic response of the system is evaluated.

The public health emergencies, such as bioterrorist attacks or pandemic outbreaks, have gained serious public and government attentions since the 2001 anthrax attacks and the SARS outbreak in 2003. These events require large-scale and timely dispensing of critical medical countermeasures for protection of the general population. This thesis research focuses on developing mathematical models, real-time algorithms, and computerized decision support systems that enable (1) systematic coordination to tackle multifaceted nature of mass dispensing, (2) fast disease propagation module to allow immediate mitigation response to on-site uncertainties, and (3) user-friendly platform to facilitate modeling-solution integration and cross-domain collaboration. The work translates operations research methodologies into practical decision support tools for public health emergency professionals. Under the framework of modeling and optimizing the public health infrastructure for biological and pandemic emergency responses, the task first determines adequate number of point-of-dispensing sites (POD), by placing them strategically for best possible population coverage. Individual POD layout design and associated staffing can thus be optimized to maximize throughput and/or minimize resource requirement for an input throughput. Mass dispensing creates a large influx of individuals to dispensing facilities, thus raising the risk of high degree of intra-facility infections. Our work characterizes the interaction between POD operations and disease propagation. Specifically, fast genetic algorithm-based heuristics were developed for solving the integer-programming-based facility location instances. The approach has been applied to the metro-Atlanta area with a population of 5.2 million people spreading over 11 districts. Among the 2,904 instances, the state-of-the-art specialized integer programming solver solved all except one instance to optimality within 300,000 CPU seconds and solved all except 5 to optimality within 40,000 CPU seconds. Our fast heuristic algorithm returns good feasible solutions that are within 8 percent to optimality in 15 minutes. This algorithm was embedded within an interactive web-based decision support system, RealOpt-Regional©. The system allows public health users to contour the region of interest and determine the network of PODs for their affected population. Along with the fast optimization engine, the system features geographical, demographical, and spatial visualization that facilitate real-time usage. The client-server architecture facilities front-end user interactive design on Google Maps© while the facility location mathematical instances are generated and solved in the back-end server. In the analysis of disease propagation and mitigation strategies, we first extended the 6-stage ordinary differential equation-based (ODE) compartmental model to accommodate POD operations. This allows us to characterize the intra-facility infections of highly contagious diseases during local outbreak when large dispensing is in process. The disease propagation module was then implemented into the CDC-RealOpt-POD© discrete-event-simulation-optimization. CDC-RealOpt-POD is a widely used emergency response decision support system that includes simulation-optimization for determining optimal staffing and operations. We employed the CDC-RealOpt-POD environment to analyze the interactions between POD operations and disease parameters and identified effective mitigation strategies. The disease propagation module allows us to analyze the efficient frontier between operational efficiencies and intra-POD infections. Emergency response POD planners and epidemiologists can collaborate under the familiar CDC-RealOpt-POD environment, e.g., design the most efficient plan by designing and analyzing both POD operations and disease compartmental model in a unified platform. Corresponding problem instances are formed automatically by combining and transforming graphical inputs and numerical parameters from users. To facilitate the operations of receiving, staging and storage (RSS) of medical countermeasures, we expanded the CDC-RealOpt-POD layout design functions by integrating it with the process flow. The resulting RSS system allows modeling of both system processes along with spatial constraints for optimal operations and process design. In addition, agent-based simulation was incorporated inside where integrated process flow and layout design allow analysis of crowd movement and congestion. We developed the hybrid agent behavior where individual agents make decision through system-defined process flow and autonomous discretion. The system was applied successfully to determine guest movement strategies for the new Georgia Aquarium Dolphin Tales exhibit. The goal was to enhance guest experience while mitigating overall congestion.

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Recent (post-1950s) climate change impacts on society and ecosystems have been recognised globally. However these global impacts are not uniform at regional or local scales. Despite research progress on such scales there are still gaps in the knowledge as to 'what' is happening and 'where'? The goal of this study addresses some of these gaps by analysing climate variability and vegetation response at the furthest south westerly peninsula of the United Kingdom. This research is focused on West Cornwall (South West England) - an area dominated by a strong maritime influence. The first part of this PhD research analysed archive and contemporary instrumental data in order to detect any trends in climate variability. The weather data was retrieved from the Met Office archive for Camborne 1957-2010 and Culdrose 1985-2011 stations; Trengwainton Garden (1940-2010), and from the Royal Cornwall Polytechnic Society, for Falmouth (1880-1952) and Helston (1843-1888). The data showed positive trends in mean annual and maximum temperature with the largest trend magnitude in the 20th and 21st century. Seasonal temperature change varies locally with the highest increase in autumn spring and summer. Precipitation trends were only positive for the 19th century for Helston. Correlation between precipitation data and North Atlantic Oscillation (NAO index) was negative, however the opposite result was detected when the NAO index was correlated with temperatures. Surprisingly, return period analysis showed a decrease in the frequency and intensity of extreme precipitation events post 1975 for Camborne and Trengwainton Garden stations. The second part of this study analysed changes in vegetation distribution in West Cornwall using historical and contemporary vegetation records. Historical vegetation records were used from the Flora of Cornwall collection of herbarium records and contemporary vegetation records which were available online, containing mainly the 'New Atlas of British and Irish flora'. Data sets were geo-referenced using ArcGIS in order to analyse changes in species geographical distribution pre and post-1900. Analysis showed that historical vegetation records can be used to assess any changes in geographic distributions of vegetation. Analysis for the area of West Cornwall showed a loss of range for 18 species, for 6 species this loss was larger than 50% of the area, and there was no change in overall range area for 10 species. Ellenberg values and environmental indicator values showed that they can be used as an indicator of environmental change, showing a decrease in species with lower January temperatures. Analysis also showed an increase in moderate wetter species, where species with extreme low and high precipitation environmental indicator values showed a greater loss. Furthermore species with a higher requirement for light showed a loss as well as species with lower nitrogen values. To analyse the loss of species at the local scale, West Cornwall was divided into three areas (North Border Cells, Central West Cornwall Cells and South Border Cells). The highest loss of 11 species was detected for South Border Cells, where the loss for Central West Cornwall Cells was 6 and for North Border Cells 8 species. It was found that 17 species were experiencing loss on different local sites. For 9 of these 17 species, change at the local scale was different to the national scale change at the individual species level, group level and habitat level. Furthermore, the whole area of West Cornwall lost two species post-1900, with a different loss locally. This showed that species could be protected locally in appropriate microclimate refugia, which will be of benefit for the preservation of regional identity ecosystem services and overall genetic pool of the species.

The proliferation of products from the consumer electronics industry (especially the communications market) has led to increasing consumer demand for cheaper, smaller form factor, efficient and low power consumption products with high computation power. This growing demand for cheaper and more efficient products has made it more desirable for Integrated Circuit (IC) manufacturers to integrate both analogue and digital circuits on the same silicon substrate in order to realise high performance mixed-signal IC's at cost effective prices. The concomitant technology advancements in the IC manufacturing process, especially in the Complementary Metal Oxide Semiconductor (CMOS) process and improvements made in the capabilities of Computer-Aided Design (CAD) tools is making greater system integration possible. However, one aspect of the process that is the bottleneck of yet further system integration and lower design lead time is test. While the digital sections of mixed-signal IC's are taking microseconds to test using well established digital structural test techniques which exploit efficient Design for Test (DFT) structures, the analogue sections are still being tested using functional test methods and consequently consume several seconds of expensive test time. The work presented in this thesis addresses the test problems associated with the analogue sections of mixed-signal IC's. Specifically, the work was aimed at developing an efficient and unified embedded mixed-signal test system capable of being adopted for both analogue circuit characterisation and production testing of mixed-signal IC's in order to reduce overall test time and cost. In this context, an Analogue Test Response Compaction Technique (ATRCT) has been developed using Delta-Sigma Modulation (AIM). This compaction technique produces a signature for an analogue macro under test, which relates to both the amplitude and frequency of the analogue output response. Fault simulation results relating to a two-stage CMOS operational amplifier and continuous-time state variable filter have shown that fault-coverage of greater than 80% is attainable when the ATRCT is employed in a production testing of linear analogue macros. Based on the ATRCT, a hardware efficient Analogue Built-In Selt-Test (ABIST) scheme is proposed. This work has also developed two characterisation techniques suitable for embedded linear analogue macros: 1) An alternative hardware efficient method of measuring the impulse response of linear analogue macros using AIM, which could be conveniently incorporated in an ABIST scheme. Simulation results of the AIM-based impulse response measurement system have shown that the accuracy of the technique is within ±0.5% of the expected impulse responses. 2) An analogue fault detection routine that uses AIM and correlation techniques to detect analogue amplitude and frequency faults within linear analogue macros. Combining the proposed AIM-based impulse response measurement technique with the proposed ABIST scheme or analogue fault detection routine will enable an efficient and unified embedded mixed-signal test system to be designed.

Aquaculture is known as a major food-producing industry and Atlantic salmon (Salmo salar) and rainbow trout (Oncorhynchus mykiss) are the major cultured species in Scotland. However, disease outbreaks in aquaculture have been reported and are commonly associated with intensive fish farming, which results in a tremendous cost in the industry. Hence, understanding what immune-related genes and cells are present, their responses, mechanisms and functions in these farmed animals is a first requirement for potent vaccine design, selection of disease-resistant breeds and disease outbreak prevention. The innate immune system is the first line of defence against microbes which use germline-encoded pattern recognition receptors (PRRs) to recognise specific, conserved and constitutive products of invading pathogens, called pathogen-associated molecular patterns (PAMPs) that are important for survival of the microorganism and are thus hard for the microorganism to change. This thesis focuses on the identification and characterisation of a family of PRR called toll-like receptors (TLRs) and a TLR accessory protein UNC93B1 using different approaches. In Chapters 2, 3 and 5, eleven TLR genes and UNC93B1 were identified from Atlantic salmon whole-genome shotgun (WGS) contigs. These genes were cloned and sequenced and their putative domain structure, gene synteny and homology to other genes were determined by bioinformatics analysis. In addition, the constitutive expression profile of these genes was examined in different tissues from healthy salmon using real-time PCR. The potential modulation of these genes was examined in different in vitro and in vivo models which provide information to help understand the role(s) of these genes during inflammation or in the immune responses against pathogens. Several of these TLRs are so-called non-mammalian TLRs (TLR19, TLR20a and TLR20d) and are therefore particularly interesting to study. The sub-cellular localization was also investigated in TLR-GFP expression plasmid transfected Salmon Head Kidney-1 (SHK-1) cells. Lastly, attempts were made to develop a Human Embryonic Kidney (HEK) 293T cell line based platform to study TLR signalling and ligand specificity (Chapter 4).

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