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Robocamp: Encouraging Young Women to Embrace STEM

Description: This paper describes the efforts and results of a plan for actively recruiting students to undergraduate computer science and engineering programs at the University of North Texas (UNT). Such recruitment of students is critical to the country's efforts to increase the number of engineering professionals, and is a priority for the Computer Science and Engineering (CSE) Department at UNT.
Date: February 2009
Creator: Akl, Robert G. & Keathly, David
Partner: UNT College of Engineering

Retention and Recruitment of Women in Computer Engineering

Description: This paper describes the efforts and results of a plan for actively recruiting women students to undergraduate computer engineering programs at the University of North Texas (UNT). It also describes a series of activities aimed at improving retention rates of women students already in our programs. Such recruitment and retention of women is critical to the country's efforts to increase the number of engineering professionals, and is a priority for the Computer Science and Engineering (CSE) Department at UNT.
Date: July 2006
Creator: Akl, Robert G. & Garlick, Ryan
Partner: UNT College of Engineering

Data Mining Techniques for Predicting Breast Cancer Survivability Among Women in the United States

Description: Poster for the 2014 UNT Graduate Exhibition in the Computer Science and Information Technology category. This poster discusses data mining techniques for predicting breast cancer survivability among women in the United States.
Date: March 1, 2014
Creator: Alshammari, Sultanah M.; Shah, Tawfiq M. & Huang, Yan
Partner: UNT College of Engineering

Draft Genome Sequence of Cupriavidus sp. Strain SK-4, a di-ortho-Substituted Biphenyl-Utilizing Bacterium Isolated from Polychlorinated Biphenyl-Contaminated Sludge

Description: Article on the draft genome sequence of Cupriavidus sp. strain SK-4, a di-ortho-substituted biphenyl-utilizing bacterium isolated from polychlorinated biphenyl-contaminated sludge.
Date: May 1, 2014
Creator: Vilo, Claudia A.; Benedik, Michael J.; Ilori, Matthew Olusoji & Dong, Qunfeng
Partner: UNT College of Arts and Sciences

Multiple Input Feature Sets from Real-Time Color and Range Data for Reliable Tracking

Description: This paper describes a work in progress on using multiple sets of input features for robust real-time object tracking in image sequences. Traditional approaches to tracking relied mostly on segmentation of the intensity data using motion or appearance data. Recent availability of real-time range data allows us to use it as an additional unrivaled source of information. We propose a combination of intensity- and range-based input features. Range data enables localized search for' specific features which improves tracking reliability and speed. Proposed approach was successfully tested for the face and gesture tracking application.
Date: October 19, 1999
Creator: Tsap, L.V. & Goldgof, D.B.
Partner: UNT Libraries Government Documents Department

Amesos 1.0 reference guide.

Description: This document describes the main functionalities of the Amesos package, version 1.0. Amesos, available as part of Trilinos 4.0, provides an object-oriented interface to several serial and parallel sparse direct solvers libraries, for the solution of the linear systems of equations A X = B where A is a real sparse, distributed matrix, defined as an EpetraRowMatrix object, and X and B are defined as EpetraMultiVector objects. Amesos provides a common look-and-feel to several direct solvers, insulating the user from each package's details, such as matrix and vector formats, and data distribution.
Date: May 1, 2004
Creator: Sala, Marzio & Stanley, Ken D. (Oberlin, OH)
Partner: UNT Libraries Government Documents Department

Coefficient adaptive triangulation for strongly anisotropic problems

Description: Second order elliptic partial differential equations arise in many important applications, including flow through porous media, heat conduction, the distribution of electrical or magnetic potential. The prototype is the Laplace problem, which in discrete form produces a coefficient matrix that is relatively easy to solve in a regular domain. However, the presence of anisotropy produces a matrix whose condition number is increased, making the resulting linear system more difficult to solve. In this work, we take the anisotropy into account in the discretization by mapping each anisotropic region into a ``stretched`` coordinate space in which the anisotropy is removed. The region is then uniformly triangulated, and the resulting triangulation mapped back to the original space. The effect is to generate long slender triangles that are oriented in the direction of ``preferred flow.`` Slender triangles are generally regarded as numerically undesirable since they tend to cause poor conditioning; however, our triangulation has the effect of producing effective isotropy, thus improving the condition number of the resulting coefficient matrix.
Date: January 1, 1996
Creator: D`Azevedo, E.F.; Romine, C.H. & Donato, J.M.
Partner: UNT Libraries Government Documents Department

Computing connection coefficients of compactly supported wavelets on bounded intervals

Description: Daubechies wavelet basis functions have many properties that make them desirable as a basis for a Galerkin approach to solving PDEs: they are orthogonal, with compact support, and their connection coefficients can be computed. The method developed by Latto et al. to compute connection coefficients does not provide the correct inner product near the endpoints of a bounded interval, making the implementation of boundary conditions problematic. Moreover, the highly oscillatory nature of the wavelet basis functions makes standard numerical quadrature of integrals near the boundary impractical. The authors extend the method of Latto et al. to construct and solve a linear system of equations whose solution provides the exact computation of the integrals at the boundaries. As a consequence, they provide the correct inner product for wavelet basis functions on a bounded interval.
Date: April 1, 1997
Creator: Romine, C. H. & Peyton, B. W.
Partner: UNT Libraries Government Documents Department

Packaging Twitter Data for the Repository

Description: Presentation within a panel on social media during the Third International Workshop on Web Archiving and Digital Libraries at the 2016 Joint Conferece for Digital Libraries. This presentation discusses the inclusion of twitter data within the UNT Data Repository.
Date: June 23, 2016
Creator: Phillips, Mark Edward
Partner: UNT Libraries Digital Projects Unit

An implicitly restarted bidiagonal Lanczos Method forLarge-scale singular value problems

Description: Low rank approximation of large and/or sparse rectangular matrices is a very import ant topic in many application problems and is closely related to the sin- gular value decomposition of the matrices. In this paper, we propose an implicit restart scheme for the bidiagonal Lanczos algorithm to compute a subset of the dominating singular triplets. We also illustrate the connection of the method with inverse eigenvalue problems. In the Lanczos process, we use the so-called one-sided reorthogonalization strategy to maintain the orthogonality level of the Lanczos vec- tors. The efficiency and the applicability of our algorithm are illustrated by some numerical examples from information retrieval applications.
Date: August 1, 1998
Creator: Wang, Xiaohui & Zha, Hongyuan
Partner: UNT Libraries Government Documents Department

On updating problems in latent semantic indexing

Description: The authors develop new SVD-updating algorithms for three types of updating problems arising from Latent Semantic Indexing (LSI) for information retrieval to deal with rapidly changing text document collections. They also provide theoretical justification for using a reduced-dimension representation of the original document collection in the updating process. Numerical experiments using several standard text document collections show that the new algorithms give higher (interpolated) average precisions than the existing algorithms and the retrieval accuracy is comparable to that obtained using the complete document collection.
Date: November 1, 1997
Creator: Simon, H.D. & Zha, H.
Partner: UNT Libraries Government Documents Department