Experiment Management for the Problem Solving Environment WBCSim

dc.contributor.authorShu, Jiangen
dc.contributor.committeechairWatson, Layne T.en
dc.contributor.committeememberKamke, Frederick A.en
dc.contributor.committeememberRamakrishnan, Narenen
dc.contributor.committeememberShaffer, Clifford A.en
dc.contributor.committeememberNorth, Christopher L.en
dc.contributor.departmentComputer Scienceen
dc.date.accessioned2014-03-14T20:15:23Zen
dc.date.adate2009-08-31en
dc.date.available2014-03-14T20:15:23Zen
dc.date.issued2009-08-10en
dc.date.rdate2009-08-31en
dc.date.sdate2009-08-18en
dc.description.abstractA problem solving environment (PSE) is a computational system that provides a complete and convenient set of high level tools for solving problems from a specific domain. This thesis takes an in-depth look at the experiment management aspect of PSEs, which can be divided into three levels: 1) data management, 2) change management, and 3) execution management. At the data management level, anything related to an experiment (computer simulation) should be stored and documented. A database management system can be used to store the simulation runs for a PSE. Then various high level interfaces can be provided to allow users to save, retrieve, search, and compare these simulation runs. At the change management level, a scientist should only focus on how to solve a problem in the experiment domain. Aside from running experiments, a scientist may only consider how to define a new model, how to modify an existing model, and how to interpret an experiment result. By using XML to describe a simulation model and unify various implementation layers, changing an existing model in a PSE can be intuitive and fast. At the execution management level, how an experiment is executed is the main concern. By providing a computational steering capability, a scientist can pause, examine, and compare the intermediate results from a simulation. Contrasted with the traditional way of running a lengthy simulation to see the result at the end, computational steering can leverage the user's expert knowledge on the fly (during the simulation run) and provide new insights and new product design opportunities. This thesis illustrates these concepts and implementation by using WBCSim as an example. WBCSim is a PSE that increases the productivity of wood scientists conducting research on wood-based composite materials and manufacturing processes. It integrates Fortran 90 simulation codes with a Web based graphical front end, an optimization tool, and various visualization tools. The WBCSim project was begun in 1997 with support from United States Department of Agriculture, Department of Energy, and Virginia Tech. It has since been used by students in several wood science classes, by graduate students and faculty, and by researchers at several forest products companies. WBCSim also serves as a test bed for the design, construction, and evaluation of useful, production quality PSEs.en
dc.description.degreePh. D.en
dc.identifier.otheretd-08182009-221711en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-08182009-221711/en
dc.identifier.urihttp://hdl.handle.net/10919/28713en
dc.publisherVirginia Techen
dc.relation.haspartSHU_J_D_2009.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectproblem solving environmenten
dc.subjectXMLen
dc.subjectcomputational steeringen
dc.subjectcomputing environmenten
dc.subjectwood-based composite materialsen
dc.subjectdatabase managementen
dc.subjectvisualizationen
dc.subjectOptimizationen
dc.subjectexperiment managementen
dc.titleExperiment Management for the Problem Solving Environment WBCSimen
dc.typeDissertationen
thesis.degree.disciplineComputer Scienceen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.leveldoctoralen
thesis.degree.namePh. D.en

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