University of Central Florida

About: University of Central Florida is a education organization based out in Orlando, Florida, United States. It is known for research contribution in the topics: Laser & Population. The organization has 18822 authors who have published 48679 publications receiving 1234422 citations. The organization is also known as: UCF.

Leveraging diversity to improve business performance: Research findings and recommendations for organizations

Abstract: Research findings from industrial and organizational psychology and other disciplines cast doubt on the simple assertion that a diverse workforce inevitably improves business performance. Instead, research and theory suggest several conditions necessary to manage diversity initiatives successfully and reap organizational benefits. This article reviews empirical research and theory on the relationship between workforce diversity and organizational performance and outlines practical steps HR practitioners can take to manage diversity initiatives successfully and enhance the positive outcomes. © 2004 Wiley Periodicals, Inc.

A hierarchical approach to robust background subtraction using color and gradient information

Abstract: We present a background subtraction method that uses multiple cues to detect objects robustly in adverse conditions. The algorithm consists of three distinct levels, i.e., pixel level, region level and frame level. At the pixel level, statistical models of gradients and color are separately used to classify each pixel as belonging to background or foreground. In the region level, foreground pixels obtained from the color based subtraction are grouped into regions and gradient based subtraction is then used to make inferences about the validity of these regions. Pixel based models are updated based on decisions made at the region level. Finally, frame level analysis is performed to detect global illumination changes. Our method provides the solution to some of the common problems that are not addressed by most background subtraction algorithms, such as fast illumination changes, repositioning of static background objects, and initialization of background model with moving objects present in the scene.

Using noninvasive wearable computers to recognize human emotions from physiological signals

Abstract: We discuss the strong relationship between affect and cognition and the importance of emotions in multimodal human computer interaction (HCI) and user modeling. We introduce the overall paradigm for our multimodal system that aims at recognizing its users' emotions and at responding to them accordingly depending upon the current context or application. We then describe the design of the emotion elicitation experiment we conducted by collecting, via wearable computers, physiological signals from the autonomic nervous system (galvanic skin response, heart rate, temperature) and mapping them to certain emotions (sadness, anger, fear, surprise, frustration, and amusement). We show the results of three different supervised learning algorithms that categorize these collected signals in terms of emotions, and generalize their learning to recognize emotions from new collections of signals. We finally discuss possible broader impact and potential applications of emotion recognition for multimodal intelligent systems.

Observation of two-dimensional spatial solitary waves in a quadratic medium.

Abstract: We report the first experimental demonstration of two-dimensional spatial solitary waves in second-order nonlinear optical material When an intense optical beam is focused into a phase-matchable second-order nonlinear material, the fundamental and generated second-harmonic fields are mutually trapped as a result of the strong nonlinear coupling which counteracts both diffraction and beam walkoff