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 17 of 17 for “"AR model"”.
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A contextual AR model based system on-site construction planning
… temporal and spatial details of this schedule are vital, however current planning approaches often lead to multiple or misinterpretations of the schedule throughout the planning team. Four Dimensional Computer Aided Design (4D CAD) has emerged over the last twenty years as an effective tool …
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Motion modeling and video processing
… of motion is a qualitative statement regarding local relationships of elements of this field. In this work, our primary focus is on quantitatively modeling the relationships between elements of the motion field at spatial neighborhoods of pixels and in filtering of motion. These are …
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A Pilot Study for Identifying Tasks and Degrees of Visual Fidelity for Applications of Head Mounted Display Systems for Construction
… technology and reduced costs has led to more research on the use of Augmented Reality (AR). However, applications for AR Head Mounted Display (HMD) systems are still being defined. AR HMD systems have potential to help users interact and experience information in a way that could improve their …
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Examining The Role Of Lysyl Oxidase Enzymes In Atrial Fibrillation Induced By Volume Overload
Atrial fibrillation (AF), the most prevalent cardiac arrhythmia, is linked to atrial electrical and structural remodelling. AF is associated with fibrosis; however, in models imposing atrial stretch, this occurs without changes in collagen transcription, suggesting fibrosis results from collagen …
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Simulation and Estimation Techniques for Wideband High-Frequency Communication Channels
A technique for estimating the channel multipath parameters for wideband high frequency (WBHF) communication systems is analyzed. To explore the technique, a WBHF communication system is simulated in software using three new channel models. One channel model is based on a simulation of wave …
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Modeling and prediction of sunspot cycles
Solar activity, as indexed by sunspots, has a cycle of length varying from about 9 to 13 years. Statisticians have fitted several models to predict sunspot numbers one year ahead. We instead focus on predicting the magnitudes of the next cycle maximum, the next cycle minimum, the time from the …
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Motion picture restoration
… some of the major corruptions observed in archived film or video material. The two principal problems of impulsive distortion (Dirt and Sparkle or Blotches) and noise degradation are considered. There is also an algorithm for suppressing the inter-line jitter common in images decoded from …
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On modeling the volatility in speculative prices
… paper proposes the Student’s Autoregressive (St-AR) Model, Student’s t Vector Autoregressive (St-VAR) Model and their heterogeneous versions, as an alternative to the various ARCH type models, to capture univariate and multivariate volatility. The St-AR and St-VAR models differ from the latter …
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Classification of ADHD and non-ADHD Using AR Models and Machine Learning Algorithms
… ADHD not only depends on the observations of parents, teachers, and behavioral scientists, but also on state-level special education policies. In light of these facts, unbiased, quantitative methods are needed for the diagnosis of ADHD. This problem has been tackled since the 1990s, and has …
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A Model-Based Approach to Demodulation of Co-Channel MSK Signals
… interference limits the capacity of cellular systems, reduces the throughput of wireless local area networks, and is the major hurdle in deployment of high altitude communication platforms. It is also a problem for systems operating in unlicensed bands such as the 2.4 GHz ISM band and for …
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Group Selection in Semiparametric and Nonparametric Accelerated Failure Time Models
In survival analysis, a number of regression models can be used to estimate the effects of covariates on the censored survival outcome. When covariates can be naturally grouped, group selection is important in these models. Motivated by the group bridge approach for variable selection in a multiple …
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Mathematical Modeling for Data Envelopment Analysis with Fuzzy Restrictions on Weights
… measurement tool, which uses operations research techniques to automatically calculate the weights assigned to the inputs and outputs of the production units being assessed. The actual input/output data values are then multiplied with the calculated weights to determine the efficiency scores. …
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The Effect of Anomalous Resistivity on the Electrothermal Instability
… is temperature dependent, occurring in nearly all Z-pinch-like high energy density platforms. ETI growth for high-mass density materials is predominantly striation form which corresponds to magnetically perpendicular mode growth. The striation form is caused by a resistivity that increases …
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Improving the Specificity of Medical Ultrasound Imaging Using Scattering Spectrum Matching
… is used in numerous applications, including echocardiography and peripheral vascular imaging in addition to specific anatomical imaging such as liver and kidney. In all these applications, ultrasound offers major advantages of portability, real-time visualization and measurements, and relative …
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Radar cross-section data encoding based on parametric spectral estimation techniques
Parametric modeling has many applications. These applications include data estimation and interpolation, modern spectral estimation, and data encoding. This research applies parametric modeling to radar cross section data in an attempt to encode it as well as preserve its spectrum. Traditionally, …
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Volatility Modeling Using the Student's t Distribution
Over the last twenty years or so the Dynamic Volatility literature has produced a wealth of univariate and multivariate GARCH type models. While the univariate models have been relatively successful in empirical studies, they suffer from a number ofweaknesses, such as unverifiable parameter …