The purpose of this paper is to explore specific works that I have created as it relates to digital art and design. My works include abstract, organic objects that exist within surrealistic environments. First, I explain the dynamics of the imagery that has emerged from my career in broadcast television, my coursework in the Department of Art and Design at East Tennessee State University, and the works of fantasy, surreal, and abstract artists. In conclusion, the images discussed impose an idea of abstraction and surrealism with a sense of force, motion, life, and dynamic action.

Every year, millions of Americans suffer from either chronic or acute pain that results in tremendous healthcare cost, rehabilitation, and loss of work productivity. Pain is an unpleasant sensation associated with sensory and emotional experiences that can cause potential or actual tissue damage. One plausible solution to managing pain is the use of nonpharmacological modalities such as guided imagery. The purpose of this project was to determine if there was a difference in pain scores following pharmacological interventions and the use of guided imagery among postoperative same day surgical patients. Guided imagery is a nonpharmacological modality that uses pictures, music, and imaginary scenes to help heal the body in addition to using relaxation techniques and mental images for the management of pain. This project included the translation of evidence into practice using guided imagery on a 25-bed same day surgery unit (N = 34 patients), guided by Kolcaba's comfort theory. The findings of this project included using guided imagery for same day surgery patients who rated their pain greater than 4 on the traditional pain scale of one to ten, with one equaling no pain and ten equaling worst pain. The results of the evaluation showed a significant decrease in pain scores between premedication to postmedication (p < 0.001), premedication and postguided imagery (p < 0.001), and postmedication and postguided imaginary (p < 0.001). Guided imagery has been demonstrated to be efficient and cost effective methods to reducing pain. This project indicated that use of nonpharmacological and pharmacological interventions working together could be more effective for pain management in same day surgical patients.

This thesis outlines the development of a mathematical model which can be used to perform 3D reconstruction of a target object from surveillance images. 3D reconstruction is a common procedure in photogrammetry, but performing 3D reconstruction from surveillance images can be more difficult than typical photogrammetry applications. Surveillance images are generally captured in an unsystematic manner because there is no control over the target that is being photographed. Surveillance images can have a wide variety of fields of view, are often captured with uncalibrated cameras, and typically the targets are objects for which there is no other a priori information. For these reasons, performing 3D reconstruction from surveillance images may not be possible using standard photogrammetric methods, especially when the angular fields of view of the images are rather narrow.

The current study has been conducted in response to the growing problem of water scarcity and the need for more effective methods of irrigation water management. Remote sensing techniques have been used to match spatially and temporally distributed crop water demand to water application rates. Remote sensing approaches using Landsat imagery have been applied to estimate the components of a soil water balance model for an agricultural field by determining daily values of surface/root-zone soil moisture, evapotranspiration rates, and losses and by developing a forecasting model to generate optimal irrigation application information on a daily basis. Incompatibility of coarse resolution Landsat imagery (30m by 30m) with heterogeneities within the agricultural field and potential underestimation of field variations led the study to its main objective, which was to develop models capable of representing spatial and temporal variations within the agricultural field at a compatible resolution with farming management activities. These models support establishing real-time management of irrigation water scheduling and application. The AggieAirTM Minion autonomous aircraft is a remote sensing platform developed by the Utah Water Research Laboratory at Utah State University. It is a completely autonomous airborne platform that captures high-resolution multi-spectral images in the visual, near infrared, and thermal infrared bands at 15cm resolution. AggieAir flew over the study area on four dates in 2013 that were coincident with Landsat overflights and provided similar remotely sensed data at much finer resolution. These data, in concert with state-of-the-art supervised learning machine techniques and field measurements, have been used to model surface and root zone soil volumetric water content at 15cm resolution. The information provided by this study has the potential to give farmers greater precision in irrigation water allocation and scheduling.

The ability to create three-dimensional (3D) images offers a wide variety of solutions to meet ever increasing consumer demands. As popularity for 3D cinema and television continues to grow, 3D images will remain an important area of research and development. While there are a variety of ways to create a 3D model, textel images are quickly become the preferred solution that has been captured with a texel camera. The combination of multiple texel images taken around a scene can be used to form a texel model. Offering both visual and dimensional accuracy, texel models are becoming invaluable tools for disaster management, situational awareness, and even military application. However, displaying a texel model often provides challenges, and the problems that arise when viewing texel models will be discussed and corrected in this paper.

La LIBS (Laser Induced Breakdown Spectroscopy) est une technique d’analyse multi-élémentaire basée sur la spectroscopie d’émission optique surplasma créé par laser. Elle est bien adaptée pour l'analyse en milieu hostile notamment dans l'industrie nucléaire. Des mesures quantitatives sont fréquemment réalisées sur des échantillons solides ou liquides mais, dans certains cas, des comportements atypiques des signaux émis par le plasma ont été observés dans les expériences LIBS. Afin d’éviter ou de limiter d’éventuelles conséquences sur la précision des mesures, il est nécessaire d’améliorer la compréhension de ces phénomènes. L’objectif des travaux effectués dans le cadre de cette thèse est d’étudier les réactions chimiques se produisant à l’intérieur d’un plasma généré par laser lors d’une analyse LIBS. Des expériences sur un matériau modèle, d’aluminium métallique pur, ont eu pour but de mettre en évidence la dynamique des recombinaisons moléculaires en fonction du gaz ambiant utilisé par l’étude de l’évolution temporelle des raies d’émission atomiques Al I et des bandes moléculaires AlO et AlN. Un effet d’excitation collisionnelle a été mis en évidence pour un niveau électronique particulier de l’aluminium dans le cas d’une ambiance d’azote. Cet effet disparaît sous air. Des expériences d'imageries de plasma ont été menées pour localiser spatialement les zones où se déroulent ces recombinaisons et des effets spectaculaires de projection de particules ont été mis en évidence. / Laser Induced Breakdown Spectroscopy (LIBS) is a multi-elemental analysistechnique very well suited for analysis in hostile environments particularly in thenuclear industry. Quantitative measurements are frequently performed on liquid orsolid samples but in some cases, atypical signal behaviors were observed in theLIBS experiment. To avoid or minimize any impact on measurement accuracy, it isnecessary to improve the understanding of these phenomena. In the framework of athree-year PhD thesis, the objective was to study the chemical reactions occurringwithin laser-generated plasma in a LIBS analysis. Experiments on a model material (pure aluminum sample) highlighted thedynamics of molecular recombination according to different ambient gas. Thetemporal evolution of Al I atomic emission lines and molecular bands of AlO and AlNwere studied. A collisional excitation effect was identified for a peculiar electronicenergy level of aluminum in the case of a nitrogen atmosphere. This effectdisappeared in air. The aluminum plasma was also imaged during its expansionunder the different atmospheres in order to localize the areas in which the molecularrecombination process takes place. Spectacular particle projections have beenhighlighted.

Over the past decade studies into the application of radiometrics for soil and regolith mapping have met with mixed response. While the use of radiometric data for regolith mapping has been generally well received, radiometric methods have not commonly been adopted to assist and improve soil mapping. This thesis contributes to the development of radiometric techniques as soil and regolith mapping tools by examining soil characteristics and radiometric response using non-standard radiometric methods. This is accomplished through the development of new data processing methodologies, which extracts additional information from standard radiometric data that is unattainable using standard processing methods, and development of a new interpretation approach to soil and regolith mapping employing the multispectral processed radiometric data. The new multispectral processing methodology resolves seven gamma ray peaks from standard 256-channel NaI radiometric data to produce new radiometric uranium ternary, thorium ternary and uranium ratio imagery. Changes in the gamma ray relationships, identified through the new imagery, identify changes in soil and/or environmental conditions that are absent or difficult to identify in the standard radiometric imagery. With the isolation of non-standard thorium channels 228 [superscript] Ac (900 keV) and 228 [superscript] Ac (1600 keV), case studies in this thesis demonstrate how the difference of 1.9 years (half-life) between thorium 228 [superscript] Ac and 232 [superscript] Th decay daughter products can be mapped through the interpretation of thorium energy using ternary imagery [red: 208 [superscript] Tl (1764 keV), green: 228 [superscript] Ac (900 keV), blue: 228 [superscript] Ac (1600 keV)]. Energy peak differences may be be linked to local variations in soil chemistry, soil movement, and water movement. / Additionally, through the isolation of non-standard uranium channels 214 [superscript] Bi (1120 keV) and 214 [superscript] Bi (1253 keV), preferential attenuation of lower energy gamma-rays from 214 [superscript] Bi decay events are exploited to map variations in soil density and/or porosity. These variations are illustrated through the interpretation of uranium energy using ternary imagery [red: 214 [superscript] Bi (1764 keV), green: 214 [superscript] Bi (1120 keV), blue: 214 [superscript] Bi (1253 keV)] and uranium peak energy ratio [214 [superscript] Bi 1120 keV / 214 [superscript] Bi 1764 keV] pseudo colour imagery. Case studies examined in this thesis explore the characteristics of 256-channel radiometric spectrum from different resolution datasets from different Western Australian soil types, provide recommendations for acquiring radiometric data for soil mapping in different agricultural environments, demonstrate how high resolution 256-channel radiometric data can be used to model soil properties in three-dimensions, and illustrate how three-dimension soil models can be used to separate surface waterlogging influences from rising groundwater induced waterlogging.

Knowledge of water depth is a crucial for planning military amphibious operations. Bathymetry from remote sensing with multispectral or hyperspectral imagery provides an opportunity to acquire water depth data faster than traditional hydrographic survey methods without the need to deploy a hydrographic survey vessel. It also provides a means of collecting bathymetric data covertly. This research explores two techniques for deriving bathymetry and assesses them for use by those involved in providing support to military operations. To support this aim a fieldwork campaign was undertaken in May, 2000, in northern Queensland. The fieldwork collected various inherent and apparent water optical properties and was concurrent with airborne hyperspectral imagery collection, space-based multispectral imagery collection and a hydrographic survey. The water optical properties were used to characterise the water and to understand how they affect deriving bathymetry from imagery. The hydrographic data was used to assess the performance of the bathymetric techniques. Two methods for deriving bathymetry were trialled. One uses a ratio of subsurface irradiance reflectance at two wavelengths and then tunes the result with known water depths. The other inverts the radiative transfer equation utilising the optical properties of the water to derive water depth. Both techniques derived water depth down to approximately six to seven metres. At that point the Cowley Beach waters became optically deep. Sensitivity analysis of the inversion method found that it was most sensitive to errors in vertical attenuation Kd and to errors in transforming the imagery into subsurface irradiance reflectance, R(0-) units. Both techniques require a priori knowledge to derive depth and a more sophisticated approach would be required to determine water depth without prior knowledge of the area of interest. This research demonstrates that water depth can be accurately mapped with optical techniques in less than ideal optical conditions. It also demonstrates that the collection of inherent and apparent optical properties is important for validating remotely sensed imagery.

Ilha Formosa, meaning the ‘evergreen resplendent isle’, today known as Taiwan was named by passing European navigators in the sixteenth century. Although it had never been officially a part of the British Empire, the island – like a large portion of the world, was influenced by Great Britain, its activities, and policies. The aim of this thesis is to explore the development of the British concept, or image, of Formosa through the second half of the nineteenth century. During this period, British influence in Formosa picked-up significantly due to British commercial interests. Under British influence in the second half of the nineteenth century, Formosa started to produce and export famous Taiwanese tea on a much larger scale. The popularity of Oolong tea brought Formosa into the sphere of British public interest and the British community in Taiwan grew as a result. As time went on, more missionaries and their wives, officers, and merchants visited and lived in Taiwan. Their interactions with the Chinese and indigenous populations were carried back to Britain through visitors´ journals, letters, photographs, and stories, all of which effected the British public perception of Formosa. The popularization of Taiwanese tea together with other commercial and political interests played an important role in the British public reflection of Formosa, which evolved from the opening of the Taiwan seaports to foreign trade at the end of the 1850s and the beginning of the 1860s until the end of the nineteenth century, when the Japanese began its colonization of Taiwan.

<p>The subject of this thesis is the application of Support Vector Machines on two totally different applications, facial expressions recognition and remote sensing.</p><p>The basic idea of kernel algorithms is to transpose input data in a higher dimensional space, the feature space, in which linear operations on the data can be processed more easily. These operations in the feature space can be expressed in terms of input data thanks to the kernel functions. Support Vector Machines is a classifier using this kernel method by computing, in the feature space and on basis of examples of the different classes, hyperplanes that separate the classes. The hyperplanes in the feature space correspond to non linear surfaces in the input space.</p><p>Concerning facial expressions, the aim is to train and test a classifier able to recognise, on basis of some pictures of faces, which emotion (among these six ones: anger, disgust, fear, joy, sad, and surprise) that is expressed by the person in the picture. In this application, each picture has to be seen has a point in an N-dimensional space where N is the number of pixels in the image.</p><p>The second application is the detection of camouflage nets hidden in vegetation using a hyperspectral image taken by an aircraft. In this case the classification is computed for each pixel, represented by a vector whose elements are the different frequency bands of this pixel.</p>