Search Constraints

Start Over
Filtering by: Subject Hydraulics -- Data processing Remove constraint Subject: Hydraulics -- Data processing Decade 2010-2019 Remove constraint Decade: 2010-2019 Non-Academic Affiliation Oregon State University. Graduate School Remove constraint Non-Academic Affiliation: Oregon State University. Graduate School

Search Results

  • A computer-assisted qualitative data analysis framework for the engineering management domain

    Creator:
    Saeedi, Amirali
    Abstract:
    Qualitative data analysis (QDA) is a time consuming and, potentially unreliable research activity. In qualitative research, a number of tasks must be repeated for every new research case, even if each case is closely related or is in the same area of study. Existing QDA applications provide users with a...
    Resource Type:
    Masters Thesis
    Full Text:
    important step in preparation of data for processing (Keim, 2002). To capture knowledge existing in text

  • 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:
    monitoring scenario (i.e. audio data is collected in the field with an omnidirectional microphone, without

  • Bitmap Indexing : Energy Applications and Improvements

    Creator:
    McCamish, Benjamin
    Abstract:
    Large databases and data warehouses are becoming prevalent for the storage and management of energy data. Accelerating the rates at which data can be retrieved is beneficial not only to allow for more efficient search of the data, but also to be integrated with other energy system tools. In this...
    Resource Type:
    Masters Thesis
    Full Text:
    : Eduardo J. Cotilla-Sanchez Large databases and data warehouses are becoming prevalent for the storage and

  • Statistical analysis of RNA sequencing count data

    Creator:
    Mi, Gu
    Abstract:
    RNA-Sequencing (RNA-Seq) has rapidly become the de facto technique in transcriptome studies. However, established statistical methods for analyzing experimental and observational microarray studies need to be revised or completely re-invented to accommodate RNA-Seq data's unique characteristics. In this dissertation, we focus on statistical analyses performed at two particular stages in...
    Resource Type:
    Dissertation
    Full Text:
    Sequencing Count Data Abstract approved: Yanming Di Daniel W. Schafer RNA-Sequencing (RNA-Seq) has rapidly

  • Differentiating transportation modes using Bluetooth sensor data

    Creator:
    Bathaee, Nadia
    Abstract:
    State departments of transportation, transportation consultants, and other transportation agencies are always in need of data that can be used to better understand how different modes of transportation use the road and highway systems. A variety of automatic data collection technologies have been used to gather these data including video...
    Resource Type:
    Masters Thesis
    Full Text:
    ......................................................................................................... 75 4.1 DATA PROCESSING AND ANALYSIS PROCEDURES FOR THE FIRST THREE DATA COLLECTION EXPERIMENTS

  • 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:
    thank Xiaoli Fern and Raviv Raich, who have done excellent work on processing the bird acoustic data

  • Signatures in the Subsurface - Big & Small Data Approaches for the Spatio-Temporal Analysis of Geologic Properties & Uncertainty Reduction

    Creator:
    Rose, Kelly Kathleen
    Abstract:
    Despite more than two centuries of exploration, including more than six million deep wellbores with depths exceeding 40,000 feet in some parts of the world, our ability to constrain subsurface processes and properties remains limited. Characteristics of the subsurface vary and can be analyzed on a variety of spatial scales....
    Resource Type:
    Dissertation
    Full Text:
    ............................................................................................... 89 4.7.2 Data Integration and Processing

  • Predicting activity type from accelerometer data

    Creator:
    Zheng, Yonglei
    Abstract:
    The study of physical activity is important in improving people’s health as it can help people understand the relationship between physical activity and health. Accelerometers, due to its small size, low cost, convenience and its ability to provide objective information about the frequency, intensity, and duration of physical activity, has...
    Resource Type:
    Masters Thesis
    Full Text:
    Activity Type from Accelerometer Data Abstract approved: Weng-Keen Wong The study of physical activity

  • Distributed OpenCL : a platform for distributed, heterogeneous computing for domain scientists

    Creator:
    Dillon, William H.
    Abstract:
    It is possible to purchase, for as little as $10,000, a cluster of computers with the capability to rival the supercomputers of only a few years ago. Now, users that have little to no experience developing distributed applications or managing a cluster are in a position to do so. To...
    Resource Type:
    Dissertation
    Full Text:
    was the first Graphics Processing Unit (GPU). Two years later, Nvidia added programmability in the

  • 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:
    uncooperative peers, or free riders who only download data from other peers without sharing their data with