Thesis--Auburn University, 2009. / Abstract. Vita. Includes bibliographical references (p.180-187).

Arlo Guthrie: The Warner/Reprise Years. By Hank Reineke. (Lanham, MD: Scarecrow Press, 2012. Pp. xix + 327, series editor's foreword, preface, acknowledgments, discography, bibliography, index, 11 photographs, three illustrations.)

Roughly 50,000 people are injured in bicycle collisions with motor vehicles each year. The Hank Bicycle Simulator provides a virtual environment to study and reduce this tragic loss by safely investigating the interaction of bicycle riders and traffic, particularly for bicyclists crossing streets. The bicycle simulator design focuses on the bicycle and rider inertia, the predominant dynamic element for riders moving from a stopped position. The Hank Bicycle Simulator’s flywheel provides instantaneous inertial response while a servomotor provides simulated wind resistance to pedaling. This work describes the simulator design and a validation experiment that compares the simulator performance to theoretical predictions. The Hank Bicycle Simulator achieved initial acceleration with less than 0.20% error at realistic rider weights. The observed terminal velocity achieved less than 3.75%, with smaller errors for heavier riders. This allows the rider to cross a street with about a 60 ms time difference between the simulator and a real-life rider pedaling at a constant propulsive force. The Hank Bicycle Simulator was also validated through various physical experiments measuring the system inertia, the time delay of the electrical components, and the overall system performance. Such careful system validation for a mechanical feedback system is relatively rare in simulation research and is unique among previous reports of bicycle simulators.

Thesis (M.A.)--Briercrest Biblical Seminary, 2002. / Abstract. Includes bibliographical references (leaves 110-115).

Thesis (M.A.)--Briercrest Biblical Seminary, 2002. / Abstract. Includes bibliographical references (leaves 110-115).

Thesis (M.A.)--Briercrest Biblical Seminary, 2002. / Abstract. Includes bibliographical references (leaves 110-115).

<p>In this thesis work I have been working with two traffic simulators called Hank and ST Software. Hank is a research tool at the University of Iowa and ST Software is a commercial product. To evaluate which of these is the most suitable for behavior research I have implemented three types of intelligent agents: Overtaking Agent, Traffic Light Agent and Meeting Agent. The thesis work was extended by adding the possibility for realistic human behavior to the agents.</p><p>The result indicated that Hank allowed for greater control over behavior while ST Software allowed for faster and easier implementation.</p>

In this thesis work I have been working with two traffic simulators called Hank and ST Software. Hank is a research tool at the University of Iowa and ST Software is a commercial product. To evaluate which of these is the most suitable for behavior research I have implemented three types of intelligent agents: Overtaking Agent, Traffic Light Agent and Meeting Agent. The thesis work was extended by adding the possibility for realistic human behavior to the agents. The result indicated that Hank allowed for greater control over behavior while ST Software allowed for faster and easier implementation.

HORN is a solution to the problem of how to implement scenarios in a more efficient way than was previously possible allowing researchers who wish to create scenarios for HANK the ability to quicker implement larger scenarios than was previously possible. OpenDRIVE is an open standard for road networks that is believed to be the way forward and Horn is an attempt at unifying OpenDRIVE scenarios with HANK - the driving simulator currently in use at Link\"{o}pings Universitet, thus futureproofing all work done to implement scenarios. Before HORN HANK scenarios were laboriously constructed with a really bad program or by hand and HORN tries to make the process far less painful. This thesis describes how to work with the Road Network Editor program HORN ("Hank and OpenDRIVE Road Networks") that was developed for working with HANK's scenarios as well as my experience implementing it and some of the fascinating rules for how to draw some exotic two dimensional geometries I found out about as I worked on HORN.

This dissertation addresses the way a linguistic grammar can yield to poetic organization in a poetic text. To this end, two corpora are studied: the sung lyrics of country music singer Hank Williams, Sr. and the rapped lyrics of gansgta rap artist Snoop Dogg. Following a review of relevant literature, an account of the poetic grammar for each corpus is provided, including the manifestation of musical meter and grouping in the linguistic text, the reflection of metrical grouping in systematic rhyme, and rhyme fellow correspondence. In the Williams corpus, final cadences pattern much as in the English folk verse studied in Hayes and MacEachern (1998), but differ in that there are more, and therefore more degrees of saliency. Rhyme patterns reflect grouping structure and correlate to patterns in final cadences, and imperfect rhyme is limited to phonologically similar codas. In the Snoop Dogg corpus syllables do not always align with the metrical grid, metrical mapping and rhyme patterning often challenge grouping structure, and imperfect rhyme is more diverse, as has been shown to be the case for contemporary rap generally (Krims 2000, Katz 2008). Following Rice (1997), Golston (1998), Reindl and Franks (2001), Michael (2003), and Fitzgerald (2003, 2007), meter, grouping and rhyme are modeled as driving phonological, morphological and syntactic deviation in Optimality Theoretic terms. In the Hank Williams corpus, metrical mapping and grouping constraints are shown to drive a number of linguistically deviatory phenomena including stress shift, syllabic variation and allomorphy, while rhyme patterning constraints govern syntactic inversion. In the Snoop Dogg corpus, rhyme fellow correspondence and rhyme patterning constraints play a more significant role, driving enjambment, syllabic variation, and allomorphy. Some linguistically deviatory phenomena derive from ordinary language variation, e.g. (flawr)~(flaw.[schwa]r), and some do not, e.g. syllable insertion in insista. The latter is more common in the Snoop Dogg corpus. / text