Search Constraints

Start Over
Filtering by: Creator Walters, B. F. Remove constraint Creator: Walters, B. F. Committee Member Tadepalli, Prasad Remove constraint Committee Member: Tadepalli, Prasad

Search Results

  • Software for configuration of a video server

    Creator:
    Venkataraman, Saumya
    Abstract:
    A video server is the multimedia equivalent of a data file server. As video goes digital video servers that support digital media are required for production and broadcasting in television companies. Grass Valley Group provides comprehensive digital video solutions through a range of video servers called Profiles. The Profile Media...
    Resource Type:
    Capstone Project
    Full Text:
    Appendix B

  • Topics in toroidal interconnection networks

    Creator:
    Broeg, Robert Richard
    Resource Type:
    Dissertation
    Full Text:
    committee: Dr. Phillip Sollins of the Forestry department, Drs. Paul Cull, Tim Budd, Walter Rudd, and

  • Microstructure of radiation damage in the uranium film and its backing materials irradiated with 136 MeV 136Xe+26, Microstructure of radiation damage in the uranium film and its backing materials irradiated with 136 MeV ¹³⁶Xe⁺²⁶

    Creator:
    Sadi, Supriyadi
    Abstract:
    Microstructure changes in uranium and uranium/metal alloys due to radiation damage are of great interest in nuclear science and engineering. Titanium has attracted attention because of its similarity to Zr. It has been proposed for use in the second generation of fusion reactors due to its resistance to radiation-induced swelling....
    Resource Type:
    Dissertation
    Full Text:
    different deposition times: (a) 15, (b) 30, (c) 45, (d) 60, (e) 90 and (f) 120 min. . . . . . 41

  • A Benchmarking Study of Unsupervised Anomaly Detection Algorithms

    Creator:
    Emmott, Andrew F.
    Abstract:
    It is common practice in the unsupervised anomaly detection literature to create experimental benchmarks by sampling from existing supervised learning datasets. We seek to improve this practice by identifying four dimensions important to real-world anomaly detection applications --- point difficulty, clusteredness of anomalies, relevance of features, and relative frequency of...
    Resource Type:
    Masters Thesis
    Full Text:
    . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97 A Comparison to Our Previous Work . . . . . . . . . . . . . . . . . . . 98 B The Synthetic

  • Computing Resource Usage as a Factor of Student Success

    Creator:
    Moissinac, Béatrice
    Abstract:
    Learning Analytics and other branches of Educational Research such as Computing Education Research (CER) implicitly assume that students, especially college students, have no barriers to access learning platforms or software packages. This assumption may be attributed to such pervasive beliefs such as "everyone has a device", or "everyone can access...
    Resource Type:
    Dissertation
    Full Text:
    : Computing Resource Usage as a Factor of Student Success Abstract approved: Jennifer Parham-Mocello Robin B

  • D₊₊ : Structural Credit Assignment in Tightly Coupled Multiagent Domains

    Creator:
    Rahmattalabi, Aida
    Abstract:
    Autonomous multiagent teams can be used in complex exploration tasks to both expedite the exploration and improve the efficiency. However, use of multiagent systems presents additional challenges. Specifically, in domains where the agents' actions are tightly coupled, coordinating multiple agents to achieve cooperative behavior at the group level is difficult....
    Resource Type:
    Masters Thesis
    Full Text:
    using a fitness function, F (z), and assigned to every agent in the team. In this paper, we propose D

  • OME : A Framework for Running Spatially Explicit System Dynamics Models

    Creator:
    Wingo, Patrick C.
    Abstract:
    The Open Modeling Environment (OME) is a tool developed to address some known shortcomings in ecological System Dynamics (SD) modeling research. OME provides a common set of methods for interacting directly with spatial information, reducing the need for modelers to create their own methods for doing so. The environment is...
    Resource Type:
    Masters Thesis
    Full Text:
    ..............................................................................65 Appendix B: SDP functions and flag mappings

  • Reaction Pathways of Oxo-Hydroxo Group 5 Clusters to Metal Oxide Thin Films

    Creator:
    Mansergh, Ryan H.
    Abstract:
    Oxo-hydroxo Group 5 metal clusters are an untapped resource to study and advance aqueous solution processing of metal oxide thin films. The tetramethylammonium (TMA) hexatantalate salt (TMA6[H2Ta6O19]) yields dense Ta2O5 films (~95% of the bulk ß-Ta2O5 density) with atomically smooth surfaces (<4 Å root mean square surface roughness). This same...
    Resource Type:
    Dissertation
    Full Text:
    Ta6 solution heated to 200 °C (a), 300 °C (b), 400 °C (c), 600 °C (d), 700 °C (e), and 800 °C (f

  • Computational Approaches for RNA Structure Prediction with Dynamic Programming and Deep Neural Networks

    Creator:
    Deng, Dezhong
    Abstract:
    Our goal is to build a system to model the RNA sequences that reveals their structural information by using efficient dynamic programming algorithms and deep learning approaches. We aim to 1) achieve linear-time for RNA secondary structure prediction based on existing minimum free energy models; 2) utilize deep neural networks...
    Resource Type:
    Dissertation
    Full Text:
    ) time with Idea 2. G: further improving to O(n) time (but with approximate search) with Idea 3. In B, F

  • Bayesian optimization with empirical constraints

    Creator:
    Azimi, Javad
    Abstract:
    Bayesian Optimization (BO) methods are often used to optimize an unknown function f(•) that is costly to evaluate. They typically work in an iterative manner. In each iteration, given a set of observation points, BO algorithms select k ≥ 1 points to be evaluated. The results of those points are...
    Resource Type:
    Dissertation
    Full Text:
    (BO) methods are often used to optimize an unknown function f(·) that is costly to evaluate. They