University of Texas at Arlington

About: University of Texas at Arlington is a education organization based out in Arlington, Texas, United States. It is known for research contribution in the topics: Population & Large Hadron Collider. The organization has 11758 authors who have published 28598 publications receiving 801626 citations. The organization is also known as: UT Arlington & University of Texas-Arlington.

The Rhetorical Dynamics of Gender Harassment On-Line

Abstract: This article compares two extended interactions that took place recently on the Internet, one from a recreational Internet Relay Chat (IRC)channel, and the other from an academic listserv discussion group. The two interactions exhibit similar gender dynamics, which can be characterized as harassment of female by male participants. This harassment takes different forms, in keeping with the possibilities inherent in the two modes of computer-mediated communication. Whereas female participants on IRC are kicked off the channel, in the discussion group harassers must rely exclusively on language to intimidate and silence. This "rhetoric of harassment" crucially invokes libertarian principles of freedom of expression, constructing women's resistance as "censorship." A rhetorical analysis of the two harassment episodes thus sheds light on the means used to construct and maintain asymmetrical gender and power dynamics in different modes of CMC.

Improving key predistribution with deployment knowledge in static sensor networks

Abstract: Pairwise key establishment is a fundamental security service for sensor networks. However, establishing pairwise keys in sensor networks is a challenging problem, particularly due to the resource constraints on sensor nodes and the threat of node compromises. This article proposes to use both predeployment and postdeployment knowledge to improve pairwise key predistribution in static sensor networks. By exploiting the predeployment knowledge, this article first develops two key predistribution schemes, a closest pairwise keys scheme and a closest polynomials scheme. The analysis shows that these schemes can achieve better performance if the expected location information is available and that the smaller the deployment error is, the better performance they can achieve. The article then investigates how to use postdeployment knowledge to improve pairwise key predistribution in static sensor networks. The idea is to load an excessive amount of predistributed keys on sensor nodes, prioritize these keys based on sensors' actual locations discovered after deployment, and discard low-priority keys to thwart node compromise attacks. This approach is then used to improve the random subset assignment scheme proposed recently to demonstrate its practicality and effectiveness. The analysis indicates that the postdeployment knowledge can also greatly improve the performance and security of key predistribution.

Interlayer magnetic coupling in Fe/Cr multilayered structures

Abstract: We have calculated the mgnetic coupling of two layers of iron through an intervening layer of chromium. We use the mixing interaction between iron atoms at the interfaces with the conduction electrons of chromium and the band structure of paramagnetic chromium. When we take into account the roughness of the interface, our calculated coupling reproduces the essential features of the coupling found in Fe/Cr superlattices.