Computer Science Senior Thesis
نویسنده
چکیده
Two methods for the identification of coherent structures in fluid flows are studied for possible combination in a hybrid method providing deeper insight and greater efficiency. One method uses wavelet transforms to partition the field into coherent and incoherent portions using a thresholding of the wavelet coefficients. The other method is based on the stability analysis of trajectories through the fluid, defining two type of Lagrangian coherent structures based on the degree hyperbolicity or ellipticity of the flow. It is hoped that computational efficiency of the wavelet method can be combined with the level of detail of the stability analysis to give a fast and insightful method for analyzing and identify coherent structures in a flow. Two types of tests are done to determine the feasibility of combining the two methods. The first test is used to determine the degree to which the coherent partition from the wavelet method agrees with the Lagrangian coherent structures of the stability analysis method. The second test is used to determine how suitable the coherent partition of the wavelet coefficients is for guiding the efficient placement of the tracers used by the stability analysis method. The results from the first test do not indicate a connection between the coherent wavelet partition and Lagrangian coherent structures, and also indicate that the wavelet method is susceptible to regions of high shear. The results from the second test show that basic methods for placing tracers based on the coherent wavelet partition do not perform better than a uniform distribution of particles throughout the flow. Overall, the results do not indicate that a combinations of the two methods will be beneficial, but that there are a number of possible future directions that warrant further pursuit of the topic.
منابع مشابه
2011 Senior Thesis Project Reports Place Recognition for Indoor Blind Navigation Contents
This technical report collects the final reports of the undergraduate Computer Science majors from the Qatar Campus of Carnegie Mellon University who elected to complete a senior research thesis in the academic year 2010–11 as part of their degree. These projects have spanned the students’ entire senior year, during which they have worked closely with their faculty advisors to plan and carry ou...
متن کامل2010 Senior Thesis Project Reports Advisor: Kemal Oflazer and Noah Smith Rich Entity Type Recognition in Text Senior Thesis Table of Contents
This technical report collects the final reports of the undergraduate Computer Science majors from the Qatar Campus of Carnegie Mellon University who elected to complete a senior research thesis in the academic year 2009–10 as part of their degree. These projects have spanned the students’ entire senior year, during which they have worked closely with their faculty advisors to plan and carry ou...
متن کاملExploring Visual Odometry for Mobile Robots
This technical report retrospectively collects the final reports of the undergraduate Computer Science majors from the Qatar Campus of Carnegie Mellon University who elected to complete a senior research thesis in the academic year 2008–09 as part of their degree. These projects have spanned the students’ entire senior year, during which they have worked closely with their faculty advisors to p...
متن کاملApplying Recurrent Neural Network to Arabic Named Entity Recognition
This technical report collects the final reports of the undergraduate Computer Science majors from the Qatar Campus of Carnegie Mellon University who elected to complete a senior research thesis in the academic year 2015–16 as part of their degree. These projects have spanned the students’ entire senior year, during which they have worked closely with their faculty advisors to plan and carry ou...
متن کاملAdmission control and routing: theory and practice
Emerging high speed Broadband Integrated Services Digital Networks (B-ISDN) will carry tra c for services such as video-on-demand and video teleconferencing, which require resource reservation along the path on which the tra c is sent. As a result, such networks will need e ective admission control algorithms. The simplest approach is to use greedy admission control; in other words, accept ever...
متن کاملJoint multilingual learning for coreference resolution
Natural language is a pervasive human skill not yet fully achievable by automated computing systems. The main challenge is understanding how to computationally model both the depth and the breadth of natural languages. In this thesis, I present two probabilistic models that systematically model both the depth and the breadth of natural languages for two different linguistic tasks: syntactic par...
متن کامل