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  Partner: UNT College of Engineering
AC 2007-1844: An Innovative Mechanical and Energy Engineering Curriculum

AC 2007-1844: An Innovative Mechanical and Energy Engineering Curriculum

Date: 2007
Creator: Michaelides, Efstathios & Mirshams, Reza
Description: This paper discusses the addition of a new Department of Mechanical and Energy Engineering at the University of North Texas (UNT). Those involved see the curriculum for this new program as a new model of engineering education that parallels the innovations of UNTs current Learning to Learn (L2L) project-oriented concept course with the addition of innovative approaches for mechanical engineering and emphasis on energy engineering education.
Contributing Partner: UNT College of Engineering
Transformational Paradigm for Engineering and Engineering Technology Education

Transformational Paradigm for Engineering and Engineering Technology Education

Date: November 2008
Creator: Barbieri, Enrique & Fitzgibbon, William
Description: This paper discusses a transformational paradigm for engineering and engineering technology education at the baccalaureate level.
Contributing Partner: UNT College of Engineering
Hybrid Approach for Energy-Aware Synchronization

Hybrid Approach for Energy-Aware Synchronization

Date: December 2010
Creator: Akl, Robert G.; Saravanos, Yanos & Haidar, Mohamad
Description: This book chapter discusses a time synchronization scheme for wireless sensor networks that aims to save sensor battery power while maintaining network connectivity for as long as possible. It focuses on aspects of wireless sensor networks. These include designing a hybrid method between reference broadcast synchronization (RBS) and timing-sync protocol for sensor networks (TPSN) to reduce the number of transmissions required to synchronize an entire network, extending single-hop synchronization methods to operate in large multi-hop networks, verifying that the hybrid methods operate as desired by simulating against RBS and TPSN, and maintaining network connectivity and coverage.
Contributing Partner: UNT College of Engineering
Tantra: A fast PRNG algorithm and its implementation

Tantra: A fast PRNG algorithm and its implementation

Date: June 2009
Creator: Gomathisankaran, Mahadevan & Lee, Ruby Bei-Loh
Description: This paper discusses Tantra. Tantra is a novel Pseudorandom number generator (PRNG) design that provides a long sequence high quality pseudorandom numbers at very high rate both in software and hardware implementations.
Contributing Partner: UNT College of Engineering
The Decomposition of Human-Written Book Summaries

The Decomposition of Human-Written Book Summaries

Date: March 2009
Creator: Ceylan, Hakan & Mihalcea, Rada, 1974-
Description: In this paper, the authors evaluate the extent to which human-written book summaries can be obtained through cut-and-paste operations from the original book. The authors analyze the effect of the parameters involved in the decomposition algorithm, and highlight the distinctions in coverage obtained for different summary types.
Contributing Partner: UNT College of Engineering
Building a Sense Tagged Corpus with Open Mind Word Expert

Building a Sense Tagged Corpus with Open Mind Word Expert

Date: July 2002
Creator: Chklovski, Timothy A. (Timothy Anatolievich), 1977- & Mihalcea, Rada, 1974-
Description: This paper discusses building a sense tagged corpus with Open Mind Word Expert. Abstract: Open Mind Word Expert is an implemented active learning system for collecting word sense tagging from the general public over the Web. It is available at http://teach-computers.org. The authors expect the system to yield a large volume of high-quality training data at a much lower cost than the traditional method of hiring lexicographers. The authors thus propose a Senseval-3 lexical sample activity where the training data is collected via Open Mind Word Expert. If successful, the collection process can be extended to create the definitive corpus of word sense information.
Contributing Partner: UNT College of Engineering
Co-training and Self-training for Word Sense Disambiguation

Co-training and Self-training for Word Sense Disambiguation

Date: May 2004
Creator: Mihalcea, Rada, 1974-
Description: This paper investigates the application of co-training and self-training to word sense disambiguation. Optimal and empirical parameter selection methods for co-training and self-training are investigated, with various degrees of error reduction. A new method that combines co-training with majority voting is introduced, with the effect of smoothing the bootstrapping learning curves, and improving the average performance.
Contributing Partner: UNT College of Engineering
Open Mind Word Expert: Creating Large Data Collections with Web Users' Help

Open Mind Word Expert: Creating Large Data Collections with Web Users' Help

Date: June 2002
Creator: Chklovski, Timothy A. (Timothy Anatolievich), 1977- & Mihalcea, Rada, 1974-
Description: This article discusses Open Mind Word Expert (OMWE). The World Wide Web has both exacerbated the need and provided an opportunity for creating automatic tools for language processing. OMWE is a system that aims to tap people's ability to disambiguate words and to give computers the benefit of people's knowledge. Any Web user can visit the OMWE site and contribute some knowledge about the meanings of given words in given sentences. As a result, OMWE creates large sense-tagged corpora that can be used to build automatic WSD systems.
Contributing Partner: UNT College of Engineering
Efficient Energy Saving Scheme for On-Chip Caches

Efficient Energy Saving Scheme for On-Chip Caches

Date: 2002
Creator: Gomathisankaran, Mahadevan & Somani, Arun
Description: This paper discusses efficient energy saving techniques for on-chip caches, focusing especially on drowsy cache schemes.
Contributing Partner: UNT College of Engineering
Evaluation Results of an E and ET Education Forum

Evaluation Results of an E and ET Education Forum

Date: 2011
Creator: Ramos, Miguel; Chapman, Lauren; Cannady, Mac & Barbieri, Enrique
Description: This article discusses evaluation results of an Engineering (E) and Engineering Technology (ET) education forum at the University of Houston. A central focus to these discussions revolved around whether Engineering and Engineering Technology exist as separate fields or whether there was value in thinking about them as part of a continuum.
Contributing Partner: UNT College of Engineering