Guest Artist Recital:R.Kent Cook, Piano

Center for the Performing Arts Tuesday Evening October 17, 2006 8:00p.m

Recital: Charles Bowen, Baritone; May 27, 1971

Centennial Recital HallMay 27, 19718:15 p.m

Faculty Recital: Justin Vickers, Tenor R. Kent Cook & Geoffrey Duce, Piano

Center for Performing Arts Concert Hall September 1, 2017 8:00p.m

Percussion Recital: Jose R. Alicea, Percussion; Bon Hee Koo, Piano; Grace Pun, Piano; May 3, 1976

Centennial East Recital HallMonday EveningMay 3, 19767:00 p.m

Student Recital: Tony R. Dillon, Bass-Baritone; Brett Gibbs, Piano; May 2, 1974

Centennial East Recital HallThursday EveningMay 2, 19747:00 p.m

Graduate Voice Recital: Tony R. Dillon, Bass; Brett Neal Gibbs, Piano; July 18, 1975

Hayden AuditoriumFriday EveningJuly 18, 19758:15 p.m

Normative Values for Near and Distance Clinical Tests of Stereoacuity.

PurposeExtensive literature exists on normative stereoacuity values for younger children, but there is less information about normative stereoacuity in older children/adults. Individual stereotests cannot be used interchangeably-knowing the upper limit of normality for each test is important. This report details normative stereoacuity values for 5 near/distance stereotests drawn from a large sample of participants aged 16-40 years, across 3 studies.MethodsParticipants (n=206, mean age 22.18±5.31 years) were administered the following stereotests: TNO, Preschool Randot, Frisby, Distance Randot, and Frisby-Davis 2. Medians and upper limits were calculated for each test.ResultsUpper limits for each stereotest were as follows: TNO (n=127, upper limit=120" arc), Preschool Randot (PSR, n=206, upper limit=70" arc), Frisby (n=206, upper limit=40" arc), Distance Randot (n=127, upper limit=160" arc), and Frisby-Davis 2 (n=109, upper limit=25" arc).ConclusionsNormative values for each stereotest are identified and discussed with respect to other studies. Potential sources of variation between tests, within testing distances, are also discussed

A comparison of audio-based deep learning methods for detecting anomalous road events

Road surveillance systems have an important role in monitoring roads and safeguarding their users. Many of these systems are based on video streams acquired from urban video surveillance infrastructures, from which it is possible to reconstruct the dynamics of accidents and detect other events. However, such systems may lack accuracy in adverse environmental settings: for instance, poor lighting, weather conditions, and occlusions can reduce the effectiveness of the automatic detection and consequently increase the rate of false or missed alarms. These issues can be mitigated by integrating such solutions with audio analysis modules, that can improve the ability to recognize distinctive events such as car crashes. For this purpose, in this work we propose a preliminary analysis of solutions based on Deep Learning techniques for the automatic identification of hazardous events through the analysis of audio spectrograms

Graduate Recital: James R. Martincic, Trumpet Gloria Cardoni, Piano Dr. Amy Gilreath, Trumpet

Kemp Recilal Hall Friday Evening April 18 1997 5:30 p.m

Surface morphology and magnetic anisotropy in (Ga,Mn)As

Atomic Force Microscopy and Grazing incidence X-ray diffraction measurements have revealed the presence of ripples aligned along the $[1\bar{1}0]$ direction on the surface of (Ga,Mn)As layers grown on GaAs(001) substrates and buffer layers, with periodicity of about 50 nm in all samples that have been studied. These samples show the strong symmetry breaking uniaxial magnetic anisotropy normally observed in such materials. We observe a clear correlation between the amplitude of the surface ripples and the strength of the uniaxial magnetic anisotropy component suggesting that these ripples might be the source of such anisotropy.Comment: 3 pages, 4 figures, 1 table. Replaced with published versio