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  • Optimal load and resource balance in internet distributed systems

    Creator:
    Nishida, Hiroshi
    Abstract:
    A distributed system is a network of multiple autonomous computational nodes designed primarily for performance scalability and robustness. The performance of a distributed system depends critically on how tasks and resources are distributed among the nodes. Thus, a main thrust in distributed system research is to design schemes for distributing...
    Resource Type:
    Dissertation
    Full Text:
    loads and resource sharing become even more important due to the higher costs of communication and

  • A force control algorithm for a wave energy linear test bed

    Creator:
    Henshaw, Nathan R.
    Abstract:
    Researchers at Oregon State University, focusing on the development of ocean wave energy converters, have designed and installed a unique linear test bed to aid in the characterization of these converters. Under the original control scheme, the linear test bed follows a position profile and is limited in its ability...
    Resource Type:
    Masters Thesis
    Full Text:
    of Master of Science in Electrical and Computer Engineering presented on July 17, 2009. Title: A

  • Anomaly Detection: Theory, Explanation and User Feedback

    Creator:
    Siddiqui, Md Amran
    Abstract:
    Anomaly detection has been used in variety of applications in practice, including cyber-security, fraud detection and detecting faults in safety critical systems, etc. Anomaly detectors produce a ranked list of statistical anomalies, which are typically examined by human analysts in order to extract the actual anomalies of interest. Unfortunately, most...
    Resource Type:
    Dissertation
    Full Text:
    in variety of applications in practice, includ- ing cyber-security, fraud detection and detecting

  • Action Selection for Heterologous Control of a Continuous-Output Myoelectric Prosthesis

    Creator:
    Sylwester, Sean T.
    Abstract:
    Significance: Movement intent decoding algorithms can interpret human bioelectrical signals to control prosthetic limbs with many degrees of freedom (DOFs). This work involves decoding volitional movement intent from surface electromyogram (sEMG) signals to control prosthetic arms. To train these algorithms, patients flex their muscles to “follow” a movement prompt, and...
    Resource Type:
    Masters Thesis
    Full Text:
    through the Cyber-Human Systems grants 1901492 and 1901236. TABLE OF CONTENTS Page 1 Introduction

  • Development of a grid-scale energy storage solution via demand response using model predictive control of multiple residential water heaters

    Creator:
    Halamay, Douglas A.
    Abstract:
    As the growth of renewable energy sources, such as wind, solar, and ocean wave, increases, their impact on the electrical grid has been rapidly escalating. Although renewable resources have been able to offset some traditional generation, they have also brought a need for increasing reserve capacity due to their non-dispatchable,...
    Resource Type:
    Dissertation
    Full Text:
    , specifically for helping me to fully implement the control of multiple energy storage resources and for

  • Classification of motion capture sequences

    Creator:
    Maniar, Dharin Haresh
    Abstract:
    Motion capture data is a digital representation of the complex temporal structure of human motion. Motion capture is widely used for data-driven animation in sports,medicine and entertainment, because of its ability to capture complex and realistic motions. Due to its efficiency and cost, methods for reusing collections of motion capture...
    Resource Type:
    Masters Thesis
    Full Text:
    and discretization methods. We also give a detailed survey of dimensionality reduction methods

  • Determination of magnetoelastic parameters in magnetic thin films from FMR spectra

    Creator:
    Masood, Khalid I.
    Abstract:
    The ferromagnetic resonance (FMR) phenomenon serves as a sensitive probe of the effective internal fields in a magnetic material. FMR spectroscopy has consequently become a well-established technique, extensively employed in assessing material properties such as magnetic anisotropy, Landé g-factor, damping parameter, and the magnetoelastic constants of magnetic materials. Determining these...
    Resource Type:
    Dissertation
    Full Text:
    and my family time to time in their own way. TABLE OF CONTENTS Page 1 Introduction

  • Learning with Partial Supervision for Clustering and Classification

    Creator:
    Pei, Yuanli
    Abstract:
    In the field of machine learning, clustering and classification are two fundamental tasks. Traditionally, clustering is an unsupervised method, where no supervision about the data is available for learning; classification is a supervised task, where fully-labeled data are collected for training a classifier. In some scenarios, however, we may not...
    Resource Type:
    Dissertation
    Full Text:
    . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88 Chapter 1: Introduction 1.1 Introduction In the field of machine learning, clustering and

  • Multi-instance multi-label learning : algorithms and applications to bird bioacoustics

    Creator:
    Briggs, Forrest
    Abstract:
    We consider the problem of supervised classification of bird species from audio recordings in a real-world acoustic monitoring scenario (i.e. audio data is collected in the field with an omnidirectional microphone, without human supervision). Obtaining better data about bird activity can assist conservation efforts, and improve our understanding of their...
    Resource Type:
    Dissertation
    Full Text:
    an extension of work by Rabiner and Sambur [118] on segmentation for human speech, which starts at

  • Machine Learning Methods for Computational Sustainability

    Creator:
    Liu, Liping
    Abstract:
    Maintaining the sustainability of the earth’s ecosystems has attracted much attention as these ecosystems are facing more and more pressure from human activities. Machine learning can play an important role in promoting sustainability as a large amount of data is being collected from ecosystems. There are at least three important...
    Resource Type:
    Dissertation
    Full Text:
    With increasing human population and the consumption of resources, the human society is ex- erting