The North Texan, Volume 13, Number 3, April 1962

The North Texan, Volume 13, Number 3, April 1962

Date: April 1962
Creator: North Texas State University
Description: The North Texan includes articles and notes about North Texas State University students, faculty, and alumni activities.
Contributing Partner: University Relations, Communications & Marketing department for UNT
Robocamp: Encouraging Young Women to Embrace STEM

Robocamp: Encouraging Young Women to Embrace STEM

Date: February 2009
Creator: Akl, Robert G.; Keathly, David & Garlick, Ryan
Description: This presentation discusses Robocamp, a special summer camp that was created by the University of North Texas (UNT) Computer Science and Engineering department. Robocamp successfully promotes engineering among high school women.
Contributing Partner: UNT College of Engineering
Motivating and Retaining CS2 Students with a Competative Game Programming Project

Motivating and Retaining CS2 Students with a Competative Game Programming Project

Date: 2007
Creator: Garlick, Ryan & Akl, Robert G.
Description: This article discusses motivating and retaining computer science students with a competitive game programming project.
Contributing Partner: UNT College of Engineering
Robocamp: Encouraging Young Women to Embrace STEM

Robocamp: Encouraging Young Women to Embrace STEM

Date: February 2009
Creator: Akl, Robert G. & Keathly, David
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.
Contributing Partner: UNT College of Engineering
Strategies for Retention and Recruitment of Women and Minorities in Computer Science and Engineering

Strategies for Retention and Recruitment of Women and Minorities in Computer Science and Engineering

Date: 2007
Creator: Akl, Robert G.; Keathly, David & Garlick, Ryan
Description: Article discussing strategies for the retention and recruitment of women and minorities in computer science and engineering.
Contributing Partner: UNT College of Engineering
Attracting and Retaining Women in Computer Science and Engineering: Evaluating the Results

Attracting and Retaining Women in Computer Science and Engineering: Evaluating the Results

Date: June 2007
Creator: Keathly, David & Akl, Robert G.
Description: This paper discusses efforts to attract and retain students in computer science and engineering fields.
Contributing Partner: UNT College of Engineering
Retention and Recruitment of Women in Computer Engineering

Retention and Recruitment of Women in Computer Engineering

Date: July 2006
Creator: Akl, Robert G. & Garlick, Ryan
Description: This presentation discusses strategies and goals for recruiting more women to Computer Science and Engineering degree (CSE) 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 CSE Department at UNT.
Contributing Partner: UNT College of Engineering
A Multi-Time Scale Learning Mechanism for Neuromimic Processing

A Multi-Time Scale Learning Mechanism for Neuromimic Processing

Date: August 1994
Creator: Mobus, George E. (George Edward)
Description: Learning and representing and reasoning about temporal relations, particularly causal relations, is a deep problem in artificial intelligence (AI). Learning such representations in the real world is complicated by the fact that phenomena are subject to multiple time scale influences and may operate with a strange attractor dynamic. This dissertation proposes a new computational learning mechanism, the adaptrode, which, used in a neuromimic processing architecture may help to solve some of these problems. The adaptrode is shown to emulate the dynamics of real biological synapses and represents a significant departure from the classical weighted input scheme of conventional artificial neural networks. Indeed the adaptrode is shown, by analysis of the deep structure of real synapses, to have a strong structural correspondence with the latter in terms of multi-time scale biophysical processes. Simulations of an adaptrode-based neuron and a small network of neurons are shown to have the same learning capabilities as invertebrate animals in classical conditioning. Classical conditioning is considered a fundamental learning task in animals. Furthermore, it is subject to temporal ordering constraints that fulfill the criteria of causal relations in natural systems. It may offer clues to the learning of causal relations and mechanisms for causal reasoning. The ...
Contributing Partner: UNT Libraries
A Highly Fault-Tolerant Distributed Database System with Replicated Data

A Highly Fault-Tolerant Distributed Database System with Replicated Data

Date: December 1994
Creator: Lin, Tsai S. (Tsai Shooumeei)
Description: Because of the high cost and impracticality of a high connectivity network, most recent research in transaction processing has focused on a distributed replicated database system. In such a system, multiple copies of a data item are created and stored at several sites in the network, so that the system is able to tolerate more crash and communication failures and attain higher data availability. However, the multiple copies also introduce a global inconsistency problem, especially in a partitioned network. In this dissertation a tree quorum algorithm is proposed to solve this problem, imposing a logical tree structure along with dynamic system reconfiguration on all the copies of each data item. The proposed algorithm can be viewed as a dynamic voting technique which, with the help of an appropriate concurrency control algorithm, exhibits the major advantages of quorum-based replica control algorithms and of the available copies algorithm, so that a single copy is read for a read operation and a quorum of copies is written for a write operation. In addition, read and write quorums are computed dynamically and independently. As a result expensive read operations, like those that require several copies of a data item to be read in most ...
Contributing Partner: UNT Libraries
Recognition of Face Images

Recognition of Face Images

Date: December 1994
Creator: Pershits, Edward
Description: The focus of this dissertation is a methodology that enables computer systems to classify different up-front images of human faces as belonging to one of the individuals to which the system has been exposed previously. The images can present variance in size, location of the face, orientation, facial expressions, and overall illumination. The approach to the problem taken in this dissertation can be classified as analytic as the shapes of individual features of human faces are examined separately, as opposed to holistic approaches to face recognition. The outline of the features is used to construct signature functions. These functions are then magnitude-, period-, and phase-normalized to form a translation-, size-, and rotation-invariant representation of the features. Vectors of a limited number of the Fourier decomposition coefficients of these functions are taken to form the feature vectors representing the features in the corresponding vector space. With this approach no computation is necessary to enforce the translational, size, and rotational invariance at the stage of recognition thus reducing the problem of recognition to the k-dimensional clustering problem. A recognizer is specified that can reliably classify the vectors of the feature space into object classes. The recognizer made use of the following principle: ...
Contributing Partner: UNT Libraries
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