Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 57 for “"Volume data"”.
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Modeling Surfaces from Volume Data Using Nonparallel Contours
… in medical visualization and analysis. From such datasets, physicians often need to construct surfaces representing anatomical shapes in order to conduct treatment, such as irradiating a tumor. Traditionally, this is done through a time-consuming and error-prone process in which an experienced …
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Surface-based segmentation of volume data using texture features
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1997.
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A cellular method for modeling solid features in volume data
… Tomography (CT). An MRI or CT image presents data in the form of a three dimensional array of cubic elements called voxels. The array is created from individual slabs which have often been treated as two dimensional images. The development of segmentation and modeling methods which treat the …
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Immersive Virtual Reality and 3D Interaction for Volume Data Analysis
… novel 3D interaction techniques for analyzing volume datasets. It provides domain-independent results based on an abstract task taxonomy for visual analysis of scientific datasets. Scientific data generated through various modalities e.g. computed tomography (CT), magnetic resonance imaging …
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Calculation of gas-wall heat transfer from pressure and volume data for spaces with inflow and outflow
… local results, past work has used pressure and volume measurements to calculate surface averaged values for the heat transfer. This becomes much more difficult to do with inflow and outflow because of the difficulty in accurately determining how much mass is in the cylinder at any given time. …
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Incremental volume rendering using hierarchical compression
… has been based on the thesis that efficient volume rendering of datasets, contained on the Internet, can be achieved on average personal workstations. We present a new algorithm here for efficient incremental rendering of volumetric datasets. The primary goal of this algorithm is to give …
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Material parameter identification for modelling the left ventricle in the healthy state
… Westerhof. The model was calibrated to pressure-volume data, which was adaptedfrom the work of Kerckhoffs. The projected Levenberg-Marquardt algorithm was used to identify material parameters. Identification of the anisotropic constants in the model of Usyk proved to be difficult, with the …
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Scalable Data Transformations for Low-Latency Large-Scale Data Analysis
… that increases the scalability of interactive volume analysis workflows by moving elements strongly dependent on the input data size from the interactive phase of the workflow to the data preparation phase. This reduces the overall computational complexity of the interactive phase, enabling …
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The immediate price and volume effects of investment advisory services on stocks recommended
… study was to investigate the immediate price and volume effects or investment advisory services on stocks recommended. The methodology used in this study consisted of the selection of sixty-four stock recommendations published by three major advisory services, Value Line Investment Service, …
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Feature-Based Texture Synthesis and Hierarchical Tensor Approximation
… ensemble. Experiments on images and medical volume data indicate that this approach achieves better approximation quality than wavelet (packet) transforms and hybrid linear models.
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Telecommunications services for multimedia data exchange support
… the transmission requirements to support large volume data exchange in a distributed computing environment. With a good understanding of these requirements one will be better equipped to evaluate the various physical transmission media and communication services available to meet the high …
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Wireless Telemetry System for Implantable Sensors
… intended to retrieve blood pressure and volume data. A physical prototype is created that is 2.475 cm3 and weights 4.01 g. This thesis will enable a path towards miniaturization, leading to the incorporation of a wireless system into small laboratory animals.
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Supervised manifold distance segmentation
… propose a simple and robust method for image and volume data segmentation based on manifold distance metrics. In this approach, pixels in an image are not considered as points with color values arranged in a grid. In this way, a new data set is built by a transform function from one traditional 2D …
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Fault-tolerance and load management in a distributed stream processing system
… continuous, low-latency processing of large-volume data streams. These "stream processing applications" arise in many areas such as sensor-based environment monitoring, financial services, network monitoring, and military applications. Because traditional database management systems are …
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Analytical Perturbed Hard Sphere Models Based on Solubility and Volumetric Studies of Organic Solids Interacting With Supercritical Fluids
Solubility data were measured by a new flow technique for naphthalene, phenanthrene, anthracene, triphenylmethane, hexamethylbenzene, fluorene, and pyrene in ethylene, and the latter three in carbon dioxide at temperatures from 298 to 358 K and pressures up to 50 MPa. These data suggested that …
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Thermodynamic properties of liquid ³3He-⁴4He mixtures between 0.15 K and 1.8 K
… pressure are based on available specific heat data and previously determined sub- 0.15 K properties. The property relations are then extended to higher pressures (up to 10 bar) between 0.15 K and 1.5 K, using available molar volume data. The results are largely in good agreement with some other …
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Effects of Diabetes on Ovarian Cancer: Data Analysis and Modeling Study
… correlation between diabetes and ovarian tumor volume. Data from fifty patients was collected from charts at Grady Memorial Hospital in Atlanta, Georgia. Oxygen saturation, tumor volume, blood glucose level, and cancer stage were gathered for each patient. The results contradicted the …
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Machine Learning with FEARS index: does the inclusion of investor sentiment improve a machine learning model's ability to predict volatility?
… is constructed as an index by using search volume data of different search terms obtained from Google Trends. The resulting Financial and Economic Attitudes Revealed by Search (FEARS) index is then utilised as a feature to forecast volatility via three different machine learning (ML) …
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Proposta de implementação dos algoritmos de hash MD5 e SHA-1 em hardware reconfigurável
… password recovery, password validation, and high volume data integrity checking can be performed efficiently and quickly with an ASSP for MD5 and SHA-1. This work also presents a comparative analysis of the energy consumption associated with execution of the MD5 and SHA-1 algorithms for three …
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