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Filtering by: Creator Hansen, E. M. Remove constraint Creator: Hansen, E. M. Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science File Format pdf Remove constraint File Format: pdf

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  • Constraint based personalization

    Creator:
    Nagboth, Sai Rajkiran
    Abstract:
    Personalization is defined as a process that facilitates interaction among consumers and providers such that individual consumers are enabled to more readily access the content and services of providers, and individual providers are enabled to more effectively and easily deliver their content and services to consumers. This project presents a...
    Resource Type:
    Capstone Project
    Full Text:
    Domain Personalization in e-commerce along with constraint satisfaction theory m artificial

  • Formal Verification of the Variational Database Management System

    Creator:
    Khan, Fariba
    Abstract:
    Variation in data is abundant and ubiquitous in real-world applications. Managing variation in databases is, however, difficult and has been extensively studied by the database community. Schema evolution, data integration, and database versioning are examples of well-studied forms of database variation with effective context-specific solutions. However, variation appears in different...
    Resource Type:
    Masters Thesis
    Full Text:
    (A: velems) (m: fexp) : (velems):= match A with | nil ⇒ nil | ae x e :: xs ⇒ (ae x (e ∧ (F) m

  • Shape transformation using compactly supported radial basis functions

    Creator:
    Park, Byungsoo
    Abstract:
    Shape transformation is a technique for gradually changing one geometric shape to another. A recent approach presents the use of thin-plate radial basis functions as opposed to traditional "blobby sphere" implicit functions. Without the explicit evaluation of he energy function, this approach combined the two traditional steps into one by...
    Resource Type:
    Capstone Project
    Full Text:
    res ults m Figure 7. It took abou t 2-3 minutes to r ender eac h impli cit su rfa ce (e.g. d) , e

  • Resource planning power flow & feasibility study

    Creator:
    von Jouanne, Annette and Wallace, Alan
    Abstract:
    The OSU Motor Systems Resource Facility (MSRF), co-directed by the Principal Investigators (PI's, bios included), is an Energy Systems Laboratory with operating capabilities up to 750kV A, testbeds up to 300hp, a 120kVA fully programmable source, and a bi-directional grid interface enabling regeneration back onto the grid. The MSRF was...
    Resource Type:
    Technical Report
    Full Text:
    Administration James L. Randall, P .E. March 29, 2005 48 Raver 69 ~ Line miles between stations

  • LabelFlicks

    Creator:
    Ruangrotsakun, Chalida
    Abstract:
    Using supervised machine learning (ML) to train a computer vision model typically requires human annotators to label objects in images and video. Given a large training dataset, this can be labor intensive, presenting a significant bottleneck in the model-development process. LabelFlicks is an open-source desktop application that aims to address...
    Resource Type:
    Capstone Project
    Full Text:
    . 1–37, 2018. [6] M. Desmond, M. Muller, Z. Ashktorab, C. Dugan, E. Duesterwald, K. Brimijoin, C

  • Model Selection of Discrete Classifiers under Class and Cost Distribution Change: An Empirical Study

    Creator:
    Ahmed, Nahian and Hutchinson, Rebecca A.
    Abstract:
    A variety of important machine learning applications require predictions on test data with different characteristics than the data on which a model was trained and validated. In particular, test data may have a different relative frequency of positives and negatives (i.e., class distribution) and/or different mislabeling costs of false positive...
    Resource Type:
    Technical Report
    Full Text:
    - tions) can be encoded to a real value, m = P (Y = 0) · C(Ŷ = 1|Y = 0) P (Y = 1) · C(Ŷ = 0|Y = 1

  • An overview of cogeneration

    Creator:
    Holmes, Michael
    Abstract:
    This paper presents an overview of cogeneration, also known as combined heat and power (CHP). The technology of cogeneration is described and the three primary cogeneration processes are discussed. The transition between parallel operation with the utility and stand-alone operation is discussed. The trade­off between a synchronous and an induction...
    Resource Type:
    Technical Report
    Full Text:
    and Computer Science at Oregon State University, Corvallis, OR (e-mail: michaelholmes@juno.com

  • On the domain generalizability of RF fingerprints through multifractal dimension representation

    Creator:
    Johnson, Benjamin
    Abstract:
    RF data-driven device fingerprinting through the use of deep learning has recently surfaced as a possible method for secure device identification and authentication. Traditional approaches are commonly susceptible to the domain adaptation problem where a model trained on data from one domain performs badly when tested on data from a...
    Resource Type:
    Masters Thesis
    Full Text:
    fractal dimension, 𝐷, is then related to the Hurst exponent by 𝐷 = 𝐸 + 1 − 𝐻 where 𝐸 is the

  • Java byte code obfuscator

    Creator:
    Mundle, Maithily
    Abstract:
    This paper discusses Java Bytecode Obfuscation techniques that make the reverse engineering task more difficult. This paper is structured as follows: Java virtual machine and Java language specifications are discussed first. Then the paper talks about different techniques for protecting software and then details one promising approach named Obfuscation. The...
    Resource Type:
    Capstone Project
    Full Text:
    '' Aocess rights \., ·r/ "[Ljavallang/Ob ject;" lmplemente·d. ·1.nterfaC'"'"', x·· \ · 1-- .. "·H""'"e

  • Action Segmentation in Videos: Deep Models, Prediction Diffusion, and Deep-Temporal Augmentations

    Creator:
    Aziere, Nicolas
    Abstract:
    This paper addresses the high model complexity and overconfident frame labeling of state-of-the-art (SOTA) action segmenters. Their complexity is typically justified by the need to sequentially refine action segmentation through multiple stages of a deep architecture. However, this multistage refinement does not take into account uncertainty of frame labeling predicted...
    Resource Type:
    Dissertation