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Filtering by: Subject Hydraulics -- Data processing Remove constraint Subject: Hydraulics -- Data processing Decade 2010-2019 Remove constraint Decade: 2010-2019 Resource Type Masters Thesis Remove constraint Resource Type: Masters Thesis

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  • 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

  • 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

  • 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

  • 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

  • Bioinformatics applied to freshwater cyanobacterial blooms and cyanophage

    Creator:
    Schwartz, Andrew D.
    Abstract:
    Freshwater cyanobacterial blooms are a nuisance and health threat in the Pacific Northwest. The accepted methods of characterizing these blooms by microscopic cell counts cannot differentiate between toxic and non-toxic strains of the cyanobacterium Microcystis. Also, there is limited understanding of freshwater cyanophage that may control bloom dynamics. In order...
    Resource Type:
    Masters Thesis
    Full Text:
    techniques used that were either developed or customized to fit our data. Our findings indicate that

  • A State of Practice of Safety and Big Data in Transportation Engineering Curricula and in Transportation Design : How is it Used and How can Academic Offerings Better Represent Industry Practices?

    Creator:
    Castro, Edgar D.
    Abstract:
    Improving safety education could contribute to the preparation of better professional engineers. Safety topics are not holistically embedded in transportation course curricula. This thesis explores the current state in which safety is being incorporated in transportation course curricula in terms of design and compares the uses of safety data in...
    Resource Type:
    Masters Thesis
    Full Text:
    presented on September 15, 2016. Title: A State of Practice of Safety and Big Data in Transportation

  • Simultaneous segmentation and classification of bird song using CNN

    Creator:
    Narasimhan, Revathy
    Abstract:
    In bioacoustics, automatic animal voice detection and recognition from audio recordings is an emerging topic for animal preservation. Our research focuses on bird bioacoustics, where the goal is to segment bird syllables from the recording and predict the bird species for the syllables. Traditional methods for this task addresses the...
    Resource Type:
    Masters Thesis
    Full Text:
    -Decoder Convolutional Neural Network . . . . . . . . . . . . . . . 13 4.3.1 Post processing

  • Designed to fit : tailored technologies for medical practitioners

    Creator:
    de Brum, Silvina
    Abstract:
    Although electronic medical records systems (EMR) present promising benefits, they have not yet been widely adopted. A problem facing many EMR are that they are disruptive technologies; their complex hardware and software are not designed to account for the clinicians' characteristics and needs, thus, demanding a steep learning curve and...
    Resource Type:
    Masters Thesis
    Full Text:
    , ophthalmoscope, and a digital camera. It uses existing technologies to capture patient data from the physical

  • Physical activity recognition of free-living data using change-point detection algorithms and hidden Markov models

    Creator:
    Anderson, Michael M.
    Abstract:
    Physical activity recognition using accelerometer data is a rapidly emerging field with many real-world applications. Much of the previous work in this area has assumed that the accelerometer data has already been segmented into pure activities, and the activity recognition task has been to classify these segments. In reality, activity...
    Resource Type:
    Masters Thesis
    Full Text:
    Physical Activity Recognition on Free-Living Data Using

  • Spatial and Temporal Dynamics of Broad-scale Predictive Models : Influences of Scale

    Creator:
    Hooper, Samuel
    Abstract:
    Developing accurate predictive distribution models requires adequately representing relevant spatial and temporal scales, as these scales are ultimately reflective of the relationships between distributions and influential environmental conditions. In this research, we considered both spatial and temporal scale and the influence each has on predicting broad-scale distributions of two disparate...
    Resource Type:
    Masters Thesis
    Full Text:
    (SDM) by comparing models developed with different temporal resolutions of land cover predictor data