University of Hartford

About: University of Hartford is a education organization based out in West Hartford, Connecticut, United States. It is known for research contribution in the topics: Population & Context (language use). The organization has 1244 authors who have published 2481 publications receiving 48973 citations. The organization is also known as: UHart.

Predicting Date Rape Perceptions The Effects of Gender, Gender Role Attitudes, and Victim Resistance

Abstract: The effects of participant gender and victim resistance on date rape perceptions have been inconsistent. Participant gender role attitudes may contribute to these inconsistencies. We found women with traditional gender role attitudes were least likely to agree that the perpetrator was guilty of rape. Participants were less convinced of the perpetrator's guilt when the victim resisted verbally than when she resisted verbally and physically, and participants with traditional gender role attitudes were less convinced of the negative impact on the victim when she resisted verbally than when she resisted verbally and physically. Perhaps previous inconsistencies resulted from varying proportions of men and women with traditional versus liberal gender role attitudes in the samples.

Geometric Effects When Measuring Small Holes With Micro Contact Probes.

Abstract: A coordinate measuring machine with a suitably small probe can be used to measure micro-features such as the diameter and form of small holes (often about 100 μm in diameter). When measuring small holes, the clearance between the probe tip and the part is sometimes nearly as small as other characteristic lengths (such as probe deflection or form errors) associated with the measurement. Under these circumstances, the basic geometry of the measurement is much different than it is for the measurement of a macroscopic object. Various geometric errors are greatly magnified, and consequently sources of error that are totally irrelevant when measuring macroscopic artifacts can become important. In this article we discuss errors associated with misalignment or non-orthogonality of the probe axes, probe-tip radius compensation, and mechanical filtering.

Tracking of crossing targets with imaging sensors

Abstract: The authors present an algorithm for the tracking of crossing targets using the centroid measurement and the centroid offset measurement of the distributed image formed by the targets. The measurements are obtained by a forward-looking infrared (FLIR) imaging sensor. The joint probabilistic data association merged-measurement coupled filter (JPDAMCF) is used for state estimation which performs filtering in a coupled manner for the targets with common measurements. Two filters are examined: one assuming the displacement noise white and the other one modeling it correctly as autocorrelated. The latter is shown to yield substantially better performance. The proposed algorithm demonstrates the usefulness of the JPDAMCF for tracking crossing targets in combination with the models for the centroid and offset measurements. Even though the centroid offset measurement requires more computations and a more complex model for estimation, it yields significantly better results if the filter accounts for its colored measurement noise. >