Pale, soft, and exudative (PSE) poultry originates during rigor mortis when the muscle pH drops rapidly in high temperature carcasses. This condition results from antemortem stress and/or genetic material in the live animal. PSE poultry is pale in color, has low water-holding capacity, and forms products that are unappealing, dry, and unacceptable to consumers. Since value added products processed with PSE turkey meat display poor protein bind, color, and water retention, enhanced usability could add value to this low value raw material through locating a niche for PSE meat currently utilized in further processed products. Experiment 1 consisted of four broiler breast treatments: 100% PSE, 100% PSE + 1.5% chicken collagen, 100% normal, and 100% normal + 1.5% chicken collagen to test the effects of raw material and chicken collagen. Incorporation of collagen improved (p<0.05) protein bind and CIE L* values in both PSE and normal broiler breast treatments, while decreasing (p<0.05) the cooking and chilling loss of PSE broiler breast treatments. Experiment 2 consisted of four turkey breast treatments: 100% PSE, 100% PSE + 1.5% turkey collagen, 100% normal, and 100% normal + 1.5% turkey collagen to test the effects of raw material and turkey collagen. Addition of turkey collagen improved (p<0.05) the protein bind and CIE L* values in both PSE and normal broiler breast treatments, while decreasing (p<0.05) the cooking and chilling loss of PSE turkey breast treatments. Experiment 3 consisted of five turkey breast treatments: 100% PSE, 100% PSE + 1.5% collagen, 100% PSE + 0.30% kappa/iota carrageenan, 100% PSE + 1.5% soy protein concentrate, and 100% normal to test the effects of raw material, turkey collagen, soy protein concentrate, and carrageenan. Addition of soy protein and turkey collagen both decreased (p<0.05) cooking and chilling loss and increased (p<0.005) the protein bind of 100% PSE. Purge loss was decreased (p<0.05) in PSE raw material when turkey collagen, soy protein concentrate, and kappa/iota carrageenan were utilized. Treatments with collagen displayed similar (p>0.05) CIE L* and CIE a* values to that of normal treatments. No differences (p>0.05) in consumer acceptability existed among the treatments. / Master of Science

Chunked DASH is getting attention for reducing otherwise high delay oflive segment streaming but there are a lot of unexplored problems associatedwith it. This master’s thesis investigates the difficulties involved withimplementing a chunked DASH player in the browser with JavaScript. A small system containing one JavaScript client and a server which simulateslive streaming by repeating VOD segments is implemented. Issuesrelated to the downloading of chunked segments are addressed and solvedsuch that chunked segments can be streamed within expected delay, andwith accurate throughput metrics. / Chunkad DASH får uppmärksamhet för sin förmåga att minska annars hög fördröjning vid segmentbaserad direktsändning, men det finns många associerade problem som inte har utforskats i någon större utsträckning. Denna masters avhandling undersöker svårigheterna med att implementera en chunkad DASH-spelare i webbläsaren med JavaScript. Ett litet system som innehåller en JavaScript-klient och en server som simulerar direktsändning genom att upprepa VOD-segment implementeras. Frågor relaterade till nedladdning av chunkar behandlas och löses så att innehållet kan sändas inom förväntad fördröjning och med pålitliga mätvärden av genomströmmning.

This work is focusing on optimization of large scale terrain rendering. It explains basic methods and data structures for optimization. It describes fundamentals of methods such as ROAM, Geometrical clipmaps, GPU Based Geometrical Clipmaps, GeoMipMapping and Chunked LOD. It explains implementation details of system for terrain optimization based on GeoMipMapping method.

Real-time rendering of large-scale terrains is a difficult problem and remains an active field of research. The massive scale of these landscapes, where the ratio between the size of the terrain and its resolution is spanning multiple orders of magnitude, requires an efficient level of detail strategy. It is crucial that the geometry, as well as the terrain data, are represented seamlessly at varying distances while maintaining a constant visual quality. This thesis investigates common techniques and previous solutions to problems associated with the rendering of height field terrains and discusses their benefits and drawbacks. Subsequently, two solutions to the stated problems are presented, which build and expand upon the state-of-the-art rendering methods. A seamless and efficient mesh representation is achieved by the novel Uniform Distance-Dependent Level of Detail (UDLOD) triangulation method. This fully GPU-based algorithm subdivides a quadtree covering the terrain into small tiles, which can be culled in parallel, and are morphed seamlessly in the vertex shader, resulting in a densely and temporally consistent triangulated mesh. The proposed Chunked Clipmap combines the strengths of both quadtrees and clipmaps to enable efficient out-of-core paging of terrain data. This data structure allows for constant time view-dependent access, graceful degradation if data is unavailable, and supports trilinear and anisotropic filtering. Together these, otherwise independent, techniques enable the rendering of large-scale real-world terrains, which is demonstrated on a dataset encompassing the entire Free State of Saxony at a resolution of one meter, in real-time.

La thèse présentée ici a pour but de proposer des systèmes de détection, de composition de constituants sémantiques et d’interprétation dans la compréhension de la langue naturelle parlée. Cette compréhension se base sur un système de reconnaissance automatique de la parole qui traduit les signaux oraux en énoncés utilisables par la machine. Le signal de la parole, ainsi transcrit, comporte un ensemble d’erreurs liées aux erreurs de reconnaissance (bruits, parasites, mauvaise prononciation...). L’interprétation de cet énoncé est d’autant plus difficile qu’il est issu d’un discours parlé, soumis à la disfluence du discours, aux auto-corrections... L’énoncé est de plus agrammatical, car le discours parlé lui-même est agrammatical. L’application de méthodes d’analyses grammaticales ne produit pas de bons résultats d’interprétation, sur des textes issus de transcriptions de la parole. L’utilisation de méthodes d’analyses syntaxiques profondes est à éviter. De ce fait, une analyse superficielle est envisagée. Un des premiers objectifs est de proposer une représentation du sens. Il s’agit de considérer des ontologies afin de conceptualiser le monde que l’on décrit. On peut exprimer les composants sémantiques en logique du premier ordre avec des prédicats. Dans les travaux décrits ici, nous représentons les éléments sémantiques par des frames (FrameNet ). Les structures de frames sont hiérarchisées, et sont des fragments de connaissances auxquels on peut insérer, fusionner ou inférer d’autres fragments de connaissances. Les structures de frames sont dérivables en formules logiques. Nous proposons un système de compréhension de la parole à partir de règles logiques avec le support d’une ontologie, afin de pouvoir créer des liens à partir de composants sémantiques. Puis, nous avons mené une étude sur la découverte des supports syntaxiques des relations sémantiques. Nous proposons une expérience de composition sémantique afin d’enrichir les composants sémantiques de base. Enfin, nous présentons un système de détection de lambda-expression pour mettre en hypothèse les relations à trouver à travers le discours / The thesis presented here is intended to provide detection systems, composition of components and semantic interpretation in the natural spoken language understanding. This understanding is based on an automatic speech recognition system that translates the signals into oral statements used by the machine. The transcribed speech signal, contains a series of errors related to recognition errors (noise, poor pronunciation...). The interpretation of this statement is difficult because it is derived from a spoken discourse, subject to the disfluency of speech, forself-correction... The statement is more ungrammatical, because the spoken discourse itself is ungrammatical. The application of grammatical analysis methods do not produce good results interpretation, on the outcome of speech transcription. The use of deep syntactic analysis methods should be avoided. Thus, a superficial analysis is considered. A primary objective is to provide a representation of meaning. It is considered ontologies to conceptualize the world we describe. We can express the semantic components in first order logic with predicates. In the work described here, we represent the semantic elements by frames (FrameNet ). The frames are hierarchical structures, and are fragments of knowledge which can be inserted, merge or infer other fragments of knowledge. The frames are differentiable structures in logical formulas. We propose a system for speech understanding from logical rules with the support of an ontology in order to create links from semantic components. Then, we conducted a study on the discovery supports syntactic semantic relationships. We propose a compositional semantics experience to enrich the basic semantic components. Finally, we present a detection system for lambda-expression hypothesis to find the relationship through discourse