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.

Comparison of very short-term load forecasting techniques

Abstract: Three practical techniques-fuzzy logic (FL), neural networks (NN), and autoregressive models-for very short-term power system load forecasting are proposed and discussed in this paper. Their performances are evaluated through a computer simulation study. The preliminary study shows that it is feasible to design a simple, satisfactory dynamic forecaster to predict very short-term power system load trends online. FL and NN can be good candidates for this application.

Cognitive stimulation in brainstorming.

Abstract: Research on group brainstorming has demonstrated that it is less effective for generating large numbers of ideas than individual brainstorming, yet various scholars have presumed that group idea sharing should enhance cognitive stimulation and idea production. Three experiments examined the potential of cognitive stimulation in brainstorming. Experiments 1 and 2 used a paradigm in which individuals were exposed to ideas on audiotape as they were brainstorming, and Experiment 3 used the electronic brainstorming paradigm. Evidence was obtained for enhanced idea generation both during and after idea exposure. The attentional set of the participant and the content of the exposure manipulation (number of ideas, presence of irrelevant information) influenced this effect. These results are consistent with a cognitive perspective on group brainstorming.

Variation of Geometric Invariant Theory Quotients

Abstract: Geometric Invariant Theory gives a method for constructing quotients for group actions on algebraic varieties which in many cases appear as moduli spaces parameterizing isomorphism classes of geometric objects (vector bundles, polarized varieties, etc.). The quotient depends on a choice of an ample linearized line bundle. Two choices are equivalent if they give rise to identical quotients. A priori, there are infinitely many choices since there are infinitely many isomorphism classes of linearized ample line bundles. Hence several natural questions arise. Is the set of equivalence classes, and hence the set of non-isomorphic quotients, finite? How does the quotient vary under change of the equivalence class? In this paper we give partial answers to these questions in the case of actions of reductive algebraic groups on nonsingular projective algebraic varieties. We shall show that among ample line bundles which give projective geometric quotients there are only finitely many equivalence classes. These classes span certain convex subsets (chambers) in a certain convex cone in Euclidean space, and when we cross a wall separating one chamber from another, the corresponding quotient undergoes a birational transformation which is similar to a Mori flip.

Why do people get phished? Testing individual differences in phishing vulnerability within an integrated, information processing model

Abstract: This research presents an integrated information processing model of phishing susceptibility grounded in the prior research in information process and interpersonal deception. We refine and validate the model using a sample of intended victims of an actual phishing attack. The data provides strong support for the model's theoretical structure and causative sequence. Overall, the model explains close to 50% of the variance in individual phishing susceptibility. The results indicate that most phishing emails are peripherally processed and individuals make decisions based on simple cues embedded in the email. Interestingly, urgency cues in the email stimulated increased information processing thereby short circuiting the resources available for attending to other cues that could potentially help detect the deception. Additionally, the findings suggest that habitual patterns of media use combined with high levels of email load have a strong and significant influence on individuals' likelihood to be phished. Consistent with social cognitive theory, computer self-efficacy was found to significantly influence elaboration, but its influence was diminished by domain specific-knowledge.