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  Partner: UNT Libraries
 Decade: 2010-2019
Southwest Retort, Volume 68, Number 5, January 2016

Southwest Retort, Volume 68, Number 5, January 2016

Date: November 2016
Creator: American Chemical Society. Dallas/Fort Worth Section.
Description: This publication of the Dallas-Fort Worth Section of the American Chemical Society includes information about research, prominent scientist, organizational business, and various other stories of interest to the community.
Contributing Partner: UNT Libraries
Genre Terms for Tabletop Games

Genre Terms for Tabletop Games

Date: April 26, 2016
Creator: Robson, Diane; Yanowski, Kevin & Sassen, Catherine
Description: This document contains genre terms for cataloging table top games within the University of North Texas Libraries Media Library.
Contributing Partner: UNT Libraries
Bibliography: Assessing an Academic Library Professional Development Program

Bibliography: Assessing an Academic Library Professional Development Program

Date: April 22, 2016
Creator: Sassen, Catherine; Harker, Karen & O'Toole, Erin
Description: This bibliography accompanies a presentation for the 2016 Texas Library Association Conference in Houston, TX, April 19-22. The bibliography contains citations regarding assessment of professional development programs within academic libraries.
Contributing Partner: UNT Libraries
Digital Preservation of Federal Information Summit: Reflections

Digital Preservation of Federal Information Summit: Reflections

Date: April 2016
Creator: Halbert, Martin; Skinner, Katherine & Sittel, Robbie
Description: This report provides a synopsis of the Digital Preservation of Federal Information Summit held in San Antonio on April 3-4, 2016, including the event's structure, work sessions, and outcomes.
Contributing Partner: UNT Libraries
Chemical Information Bulletin, Volume 68, Number 1, Spring 2016

Chemical Information Bulletin, Volume 68, Number 1, Spring 2016

Date: Spring 2016
Creator: American Chemical Society. Division of Chemical Information.
Description: Created as a supplement for "the regular journals of the American Chemical Society," this publication contains annotated bibliographies of chemical documentation literature as well as information about meetings, conferences, awards, scholarships, and other news from the American Chemical Society (ACS) Division of Chemical Information (CINF).
Contributing Partner: UNT Libraries
DIY API: A Sierra-Based, Homegrown Catalog API

DIY API: A Sierra-Based, Homegrown Catalog API

Date: March 2016
Creator: Thomale, Jason
Description: This presentation provides an overview of the development process for building a local API using Sierra catalog data. This overview includes a discussion of terms, history of the project, and example applications.
Contributing Partner: UNT Libraries
Web Archiving Environmental Scan

Web Archiving Environmental Scan

Date: January 2016
Creator: Truman, Gail
Description: Environmental scan of Web archiving activities at university libraries around the United States.
Contributing Partner: UNT Libraries
Chemical Information Bulletin, Volume 67, Number 4, Winter 2015

Chemical Information Bulletin, Volume 67, Number 4, Winter 2015

Date: Winter 2015
Creator: American Chemical Society. Division of Chemical Information.
Description: Created as a supplement for "the regular journals of the American Chemical Society," this publication contains annotated bibliographies of chemical documentation literature as well as information about meetings, conferences, awards, scholarships, and other news from the American Chemical Society (ACS) Division of Chemical Information (CINF).
Contributing Partner: UNT Libraries
Journal of Applied Rehabilitation Counseling, Volume 46, Number 4, Winter 2015

Journal of Applied Rehabilitation Counseling, Volume 46, Number 4, Winter 2015

Access: Use of this item is restricted to the UNT Community.
Date: Winter 2015
Creator: National Rehabilitation Counseling Association (U.S.)
Description: Journal of Applied Rehabilitation Counseling is the official publication of the National Rehabilitation Counseling Association (NRCA). The JARC is published quarterly, Spring, Summer, Fall and Winter. JARC is a journal of opinion and research in professional rehabilitation counseling and addresses the needs of individuals employed in a wide variety of work settings and with wide-ranging professional interests. In this edition of JARC, Vol. 46, No.4 (Winter 2015), the following five articles were included: -Emerging Adults with Disabilities: Theory, Trends, and Implications (Jill M. Meyer, Vanessa M. Hinton, and Nicholas Derzis) -Substance Abuse among the Elderly Population: Overview and Management (Amani A. Kettaneh) -Assessing Faculty Attitudes toward Universal Design Instructional Techniques (Bryan K. Dallas and Matthew E. Sprong) -Clinical Supervisors' Perceptions of Counselor Characteristics Associated with Effective and Well-Balanced Practices (Margaret Glenn, Monica Leppma, and Kendra Thorne) -Thinking Outside the Box: Maximizing Vocational Outcomes Post-Traumatic Brain Injury through Rehabilitation Counseling and Recreation/Leisure Activities (Leah Cox Thomas, Eileen J. Burker, and Kelly A. Kazukauskas).
Contributing Partner: UNT Libraries
An Accelerometer-based Gesture Recognition System for a Tactical Communications Application

An Accelerometer-based Gesture Recognition System for a Tactical Communications Application

Date: December 2015
Creator: Tidwell Jr., Robert S.
Description: In modern society, computers are primarily interacted with via keyboards, touch screens, voice recognition, video analysis, and many others. For certain applications, these methods may be the most efficient interface. However, there are applications that we can conceive where a more natural interface could be convenient and connect humans and computers in a more intuitive and natural way. These applications are gesture recognition systems and range from the interpretation of sign language by a computer to virtual reality control. This Thesis proposes a gesture recognition system that primarily uses accelerometers to capture gestures from a tactical communications application. A segmentation algorithm is developed based on the accelerometer energy to segment these gestures from an input sequence. Using signal processing and machine learning techniques, the segments are reduced to mathematical features and classified with support vector machines. Experimental results show that the system achieves an overall gesture recognition accuracy of 98.9%. Additional methods, such as non-gesture recognition/suppression, are also proposed and tested.
Contributing Partner: UNT Libraries
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