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Filtering by: Creator Wirth, Julie A. Remove constraint Creator: Wirth, Julie A. Degree Field Computer Science Remove constraint Degree Field: Computer Science

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  • Real-time Speech Workload Estimation

    Creator:
    Fortune, Julian D.
    Abstract:
    Demanding task environments (e.g., supervising a remotely piloted aircraft) require performing tasks quickly and accurately; however, periods of low and high operator workload can decrease task performance. Intelligent modulation of the system’s demands and interaction modality in response to changes in operator workload state may increase performance by avoiding undesirable...
    Resource Type:
    Honors College Thesis
    Full Text:
    Speech Workload Estimation Abstract approved: Julie A. Adams Demanding task environments (e.g

  • Task Grapher : task graph scheduling in multiprocessor computer systems

    Creator:
    Chu, Lee-Jung Julie
    Abstract:
    This report presents a graphical tool for implementation of the scheduling heuristics provided by Kruatrachue. The input of scheduling is a task graph and the output is a schedule in the form of a Gantt chart. The implemented scheduling heuristics are: 1) Hu's HLF (highest level first) algorithm. 2) Yu's...
    Resource Type:
    Capstone Project
    Full Text:
    -Jung Julie Chu A research project submitted in partial fulfillment of the requirements for the

  • A benchmark suite for parallel processors : part I

    Creator:
    Sun, Tieh-Jun
    Abstract:
    Advanced computer architectures are centered around the parallel computer systems. This project is focused on the experiment on two parallel computer architectures : Sequent Balance 21000 shared memory multiprocessor and Cogent XTM distributed system. A set of benchmark programs are implemented using "C" language and Dynix parallel programming library on...
    Resource Type:
    Capstone Project
    Full Text:
    89-70-3 5C~ErlCE A Benchmark Suite for Parallel

  • Electra : integrating constraints, condition-based dispatching, and features exclusion into the multiparadigm language Leda

    Creator:
    Zamel, Nabil M.
    Abstract:
    Multiparadigm languages are languages that are designed to support more than one style of programming. Leda is a strongly-typed multiparadigm programming language that supports imperative, functional, object-oriented, and logic programming. The constraint programming paradigm is a declarative style of programming where the programmer is able to state relationships among some...
    Resource Type:
    Dissertation
    Full Text:
    into the Multiparadi m Language Leda Abstract approved. Timothy A. Budd Multiparadigm languages

  • LacEDAemon : a programming environment for the multiparadigm language leda

    Creator:
    Pandey, Rajeev K.
    Abstract:
    Multiparadigm programming languages are a recent development in the realm of programming languages. A multiparadigm programming language allows the use of multiple, differing programming paradigms without departing from a single, unified linguistic framework. Multiparadigm programming languages are claimed to have benefits to both pedagogy and complex application creation. The beneficial...
    Resource Type:
    Dissertation
    Full Text:
    Doctor of Philosophy in Computer Science presented on August 28, 1998. Title: LacEDAemon: A Programming

  • Accuracy versus cost in distributed data mining

    Creator:
    Deutschman, Stephanie
    Abstract:
    A basic tradeoff to consider when designing a distributed data-mining framework is the need for a compromise between the cost of communication and computation resources and the accuracy of the mining results. This is essentially a decision of whether it is more efficient to communicate all of the data to...
    Resource Type:
    Masters Thesis
    Full Text:
    in Distributed Data Mining. Abstract approved: Timothy A. Budd A basic tradeoff to consider when

  • A TINI infrared application

    Creator:
    Ritchie, Clark
    Abstract:
    Monitoring the performance of electrical utility assets is a critical activity for power companies. Gas chromatography has long been established as the analytical technique of choice for assessment of transformer fault conditions by detection of the presence of key fault gases through analysis of transformer oil. Chromatography is one of...
    Resource Type:
    Capstone Project
    Full Text:
    A TINI Infrared Application A Project Submitted to the

  • G, a language based on demand-driven stream evaluations

    Creator:
    Placer, John R.
    Abstract:
    A programming paradigm can be defined as a model or an approach employed in solving a problem. The results of the research described in this document demonstrate that it is possible to unite several different programming paradigms into a single linguistic framework. The imperative, procedural, applicative, lambda-free, relational, logic and...
    Resource Type:
    Dissertation
    Full Text:
    G, a language based on demand-driven stream evaluations

  • Machine Learning for Precision Medicine: Application to Cancer Chemotherapy Response Prediction and Wound Healing Status Assessment

    Creator:
    Wei, Qi
    Abstract:
    Ph.D. candidate Qi Wei's thesis consists of two projects: Chemotherapy Project: a study based on the research paper "Predicting chemotherapy response of various cancer types using a variational auto-encoder approach" submitted to the bioRxiv preprint archive and accepted by the BMC bioinformatics; and Wound Monitor Project: implementing and assessing analytics...
    Resource Type:
    Dissertation
    Full Text:
    Assessment Abstract approved: Stephen A. Ramsey Ph.D. candidate Qi Wei’s thesis consists of two projects

  • Interpretable Machine Learning: Applications in Biology and Genomics

    Creator:
    Danaee, Padideh
    Abstract:
    Machine learning (ML) and deep learning (DL) models impact our daily lives with applications in natural language modeling, image analysis, healthcare, genomics, and bioinformatics. The exponential growth of biological sequence data necessitates accompanying advances in computational methods. Although deep learning is highly effective for detecting and classifying biological sequences, challenges...
    Resource Type:
    Dissertation
    Full Text:
    Machine Learning: Applications in Biology and Genomics Abstract approved: David A. Hendrix Machine