UMD Theses and Dissertations

Permanent URI for this collectionhttp://hdl.handle.net/1903/3

New submissions to the thesis/dissertation collections are added automatically as they are received from the Graduate School. Currently, the Graduate School deposits all theses and dissertations from a given semester after the official graduation date. This means that there may be up to a 4 month delay in the appearance of a given thesis/dissertation in DRUM.

More information is available at Theses and Dissertations at University of Maryland Libraries.

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    INCREMENTAL SENTENCE PRODUCTION IN ADULTS WHO STUTTER: EYE TRACKING WHILE SPEAKING
    (2018) Frederick, Kerianna; Huang, Yi Ting; Hearing and Speech Sciences; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    Previous research investigated whether adults who stutter are affected by the same lexical retrieval factors as typically fluent adults. The findings of these studies indicate that the nature of this impact may (Newman & Ratner, 2007) or may not (Hennessey, Nang, & Beilby, 2008) differ between groups. The current study investigates how lexical retrieval unfolds when words are embedded in sentences across these populations. This work used an eye tracking while speaking paradigm during an “A and B are above C” sentence task. Codability and frequency of objects “A” and “B” were manipulated. Adults who stutter and typically fluent adults showed longer gaze duration with increased B difficulty. Total looking times indicated that effects of pre-planning varied with difficulty of A only in typically fluent adults. This suggests that word-level production interacts with sentence-level production. Pre-planning strategies may be less flexible among adults who do stutter than typically fluent adults.
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    Using Radio-Frequency Identification Technology To Measure Asphalt Cooling
    (2010) Pfeiffer, Grant Howard; Schwartz, Charles W; Civil Engineering; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    Realistic prediction of asphalt temperatures as a function of time during paving is essential for optimizing compaction operations. Continued compaction after the asphalt lift has dropped below a critical threshold temperature may result in particle breakage and degradation of the material properties. To address this issue, this study evaluates the feasibility of using Surface Acoustic Wave (SAW) based Radio-Frequency Identification (RFID) technology to measure HMA temperatures via wireless sensors during paving. The survivability and temperature measurement capabilities of the SAW RFID sensors are demonstrated in the field. The measured asphalt cooling curves (temperature versus time) are compared with predictions from previously developed theoretical models for mat cooling. The prediction accuracy of these models is improved via a field calibration procedure using measured temperatures from the SAW RFID sensors. The predictions from the calibrated theoretical model are reasonable and agree well with the measured temperatures in the field.