AMSC 663-664 Projects, 2002-2003
Below are the links to each student's AMSC 663-664 project webpage.
- James Cooley,
cooley@physics.umd.edu
Project Title:
Quasi-Static Simulation for
Laser-Plasma Interactions
Project Supervisor: Thomas Antonsen (Physics)
Abstract: Recent developments in high intensity lasers
have led to increased interest in applications associated with
the high energy densities now achievable. These applications
include Inertial-Confinement Fusion (ICF) and Laser Wakefield
Accelerators (LWFA). The interaction of these high fields with
matter, both netural and ionized is highly nonlinear and is
characterized by a large number of instabilities. This proposal
presents plans to implement and develop a three-dimensional
simulation package to examine these phenomena in the quasi-static
approximation.
- Daniel M. Dunlavy,
ddunlavy@math.umd.edu
Project Title:
An Information Retrieval System for Improving Efficiency
in Scientific Literature Searches
Project Supervisor: Dianne O'Leary (Computer Science)
Abstract: Conducting scientific research most often
involves a search through existing literature in order to avoid
repeating research efforts, review methods already developed for
solving a problem, gain a better understanding of a problem,
etc. Typically, this search is performed using the Internet,
which is a convenient portal to various databases of books,
journal articles, technical reports, preprints, etc.
In order to improve efficiency in these literature searches, the
QCS (= Query, Cluster, Summarize) information retrieval system is
proposed. Given a query, QCS will retrieve documents relevant to
the query, separate the retrieved documents into topic clusters,
and create a single summary document for each topic cluster.
Latent Semantic Indexing will be used for the retrieval,
spherical k-means will be used for the document clustering, and a
hidden Markov model coupled with a pivoted QR decomposition will
be used to create a single extract summary for each topic
cluster. The evaluation of QCS will be performed using data from
the Document Understanding Conferences (DUC '01, '02).
- John Harlim,
jharlim@math.umd.edu
Project Title:
Thickening Ensembles of Solutions to Weather Prediction
Models
Project Supervisor: Istvan Szunyogh (Meteorology/IPST)
Abstract: The goal of this project is to implement an
algorithm for generating initial ensemble perturbations for the
purpose of improving the accuracy of numerical weather
prediction. While one way to improve accuracy is to develop
better models, we propose instead an algorithm that improves the
accuracy of any given model. In our project, we implement the
module on the operational model used at the National Center of
Environmental Prediction (NCEP).
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