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Filtering by: Creator Bethel, Jeffrey W. Remove constraint Creator: Bethel, Jeffrey W. Degree Field Computer Science Remove constraint Degree Field: Computer Science

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  • Empirical study - pairwise prediction of fault based on coverage

    Creator:
    Shamasunder, Shalini
    Abstract:
    Researchers/engineers in the field of software testing have valued coverage as a testing metric for decades now. There have been various empirical results that have shown that as coverage increases the ability of the test program to detect a fault also increases. As a result numerous coverage techniques have been...
    Resource Type:
    Masters Thesis

  • Visualization, implementation, and application of the Walking Tree heuristics for biological string matching

    Creator:
    Cavener, Jeffrey Douglas
    Abstract:
    Biologists need tools to see the structural relationships encoded in biological sequences (strings). The Walking Tree heuristics calculate some of these relationships. I have designed and implemented graphic presentations which allow the biologist (user) to see these relations. This thesis contains background information on the biological sequences and some background...
    Resource Type:
    Masters Thesis
    Full Text:
    Tree heuristics for biological string matching AN ABSTRACT OF THE THESIS OF Jeffrey Douglas

  • Variational Satisfiability Solving

    Creator:
    Young, Jeffrey M.
    Abstract:
    Over the last two decades, satisfiability and satisfiability-modulo theory (SAT/SMT) solvers have grown powerful enough to be general purpose reasoning engines throughout software engineering and computer science. However, most practical use cases of SAT/SMT solvers require not just solving a single SAT/SMT problem, but solving sets of related SAT/SMT problems....
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF Jeffrey M. Young for

  • Web-PST : web-based pesticide screening tool

    Creator:
    Yao, Hua
    Abstract:
    Web-based Pesticide Screening Tool (Web-PST) is a web-based software application for evaluating the potential risk of pesticides on the surrounding environment. It uses the formulas and standards specified by the Soil/Pesticide Interaction Screening Procedure Version II (SPISP II). Web-PST closely models the stand-alone Windows application Windows Pesticide Screening Tool (WIN-PST)....
    Resource Type:
    Capstone Project
    Full Text:
    . Jeffrey Steiner Department of Computer Science Oregon State University Corvallis, OR 97331

  • Web-PST : Web-based Pesticide Screening Tool

    Creator:
    Manda, Ashwin Prasad
    Abstract:
    We have developed a web-based software tool for evaluating the potential risk of pesticides on the surrounding environment. The software tool is called Web-based Pesticide Screening Tool (Web-PST). It uses the formulas and standards specified by the Soil/Pesticide Interaction Screening Procedure Version II (SPISP II). Web-PST closely models the stand-alone...
    Resource Type:
    Capstone Project
    Full Text:
    . Toshimi Minoura Minor Professor: Dr. Prasad Tadepalli Committee Member: Dr. Jeffrey Steiner 2

  • Web-based analysis module for a germplasm collection

    Creator:
    Sharma, Akash
    Abstract:
    GEM-GIS is a prototype of a web-based GIS/Database application for managing a germplasm collection. This application include a database, a map interface, a set of web forms for database access, and an analysis module. The analysis module perform statistical analysis for the accessions of a species selected by the user...
    Resource Type:
    Capstone Project
    Full Text:
    . Toshimi Minoura Committee Member: Dr. Jeffrey J. Steiner Submitted to Oregon State University in

  • WebWEPP version 2.0 : Web-based water erosion prediction project

    Creator:
    Gyu Han, Hong
    Abstract:
    The WEPP (Water Erosion Prediction Project) application computes soil loss and sediment yield from a field based on the data on crops, management practices, and operations. In order to make WEPP, which is a Windows-based application, easily accessible, Web WEPP (Web-based WEPP) was developed by our research group. Web WEPP...
    Resource Type:
    Capstone Project
    Full Text:
    Minoura Dr. Bella Bose Dr. Jeffrey J. Steiner Department of Electrical Engineering and Computer

  • Web-WEPP : Web-based Water Erosion Prediction Project

    Creator:
    Jain, Manobal
    Abstract:
    WEPP (Water Erosion Prediction Project) is a stand-alone Windows application for predicting water erosion from overland flow on a hillslope. This application was developed by the National Soil Erosion Research Laboratory (NSERL). To make the WEPP application more accessible and easy to use, we created a web version of WEPP,...
    Resource Type:
    Capstone Project
    Full Text:
    would like to thank Dr. Kalman Toth and Dr. Jeffrey Steiner for serving on my committee and for their

  • Crop Rotation Economic and Environmental Impact Decision Aid (CREEDA) : a COM-based application

    Creator:
    Chang, Song
    Abstract:
    CREEDA (Crop Rotation Economic and Environmental Impact Decision Aid) is a Windows application for assessing economic and environmental impacts of agricultural activities. In implementing it, we extended the ProCosts database and incorporated the RUSLE (Revised Universal Soil-Loss Equation) application and the SCI (Soil Conditioning Index) application as COM components. ProCosts,...
    Resource Type:
    Capstone Project
    Full Text:
    . Toshimi Minoura, Minor Advisor Dr. Curtis Cook, Committee Member Dr. Jeffrey Steiner, Committee Member

  • Efficient Algorithms for Robust Spatiotemporal Data Analysis

    Creator:
    Moore, Travis W.
    Abstract:
    Many large-scale data analysis applications involve data that can vary over both time and space. Often the primary goal of analyzing spatiotemporal data is identifying trends, movements, and sudden changes with respect to time, location, or both. This can include a variety of applications in economics (housing prices, unemployment, job...
    Resource Type:
    Dissertation
    Full Text:
    , Max Larrivee, Jeffrey Oliver and Jeremy Kerr) and eBird (Daniel Fink, Chris Wood, and Frank La Sorte