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  Partner: UNT College of Engineering
 Decade: 2000-2009
 Year: 2009
 Collection: UNT Scholarly Works
Combining Lexical Resources for Contextual Synonym Expansion
This paper discusses combining lexical resources for contextual synonym expansion.
Cross-lingual Semantic Relatedness Using Encyclopedic Knowledge
This paper discusses cross-lingual semantic relatedness using encyclopedic knowledge.
The Decomposition of Human-Written Book Summaries
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.
The Effect of an Enhanced Channel Assignment Algorithm on an IEEE 802.11 WLAN
This article discusses the effect of an enhanced channel assignment algorithm on an IEEE 802.11 WLAN.
Integrating Knowledge for Subjectivity Sense Labeling
This paper discusses integrating knowledge for subjectivity sense labeling.
Learning to Identify Educational Materials
This paper discusses learning to identify educational materials.
The Lie Detector: Explorations in the Automatic Recognition of Deceptive Language
This paper discusses explorations in the automatic recognition of deceptive language.
Linguistic Ethnography: Identifying Dominant Word Classes in Text
This paper discusses linguistic ethnography.
Maya: A Novel Block Encryption Function
This paper discusses a novel block encryption function.
Non-Uniform Grid-Based Routing in Sensor Networks
This paper discusses non-uniform grid-based routing in sensor networks.
Nonuniform Grid-Based Coordinated Routing in Wireless Sensor Networks
This article discusses nonuniform grid-based coordinated routing in wireless sensor networks.
Real-Time Systems: An Introduction and the State-of-the-Art
This encyclopedia article gives an overview of the broad area of real-time systems. This task is daunting because real-time systems are everywhere, and yet no generally accepted definition differentiates real-time systems from non-real-time systems. The authors make an attempt at providing a general overview of the different classes of real-time systems, scheduling of tasks (or threads) in such systems, design tools and environments for real-time systems, real-time operating systems, and embedded systems. The authors conclude their discussion with research challenges that still remain.
Robocamp: Encouraging Young Women to Embrace STEM
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.
Robocamp: Encouraging Young Women to Embrace STEM
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.
Subjectivity Word Sense Disambiguation
This paper investigates a new task, subjectivity word sense disambiguation (SWSD), which is to automatically determine which word instances in a corpus are being used with subjective senses, and which are being used with objective senses.
Tantra: A fast PRNG algorithm and its implementation
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.
Text-to-text Semantic Similarity for Automatic Short Answer Grading
In this paper, the authors explore unsupervised techniques for the task of automatic short answer grading. The authors compare a number of knowledge-based and corpus-based measures of text similarity, evaluate the effect of domain and size on the corpus-based measures, and also introduce a novel technique to improve the performance of the system by integrating automatic feedback from the student answers. Overall, our system significantly and consistently outperforms other unsupervised methods for short answer grading that have been proposed in the past.
Throughput Validation of an Advanced Channel Assignment Algorithm in IEEE 802.11 WLAN
In this article, an enhanced channel-assignment algorithm at the Access Points (APs) of a Wireless Local Area Network (WLAN) is validated. The algorithm aims to maximize the Signal-to-Interference Ratio (SIR) at the user level in order to determine the appropriate channel at the APs. The initial channel assignment step at the APs is based on minimizing the total interference between APs. Based on this initial assignment, the SIR for each user is calculated. Then, another channel assignment is performed based on maximizing the SIR at the users. The algorithm can be applied to any WLAN, irrespective of the user distribution and user load. Results show that the algorithm is capable of significantly increasing the SIR over the WLAN, which in turn should improve throughput. Therefore, the authors use OPNET simulation tool to construct several realistic scenarios in order to validate our results.
Topic Identification Using Wikipedia Graph Centrality
This paper presents a method for automatic topic identification using a graph-centrality algorithm applied to an encyclopedic graph derived from Wikipedia. When tested on a data set with manually assigned topics, the system is found to significantly improve over a simpler baseline that does not make use of the external encyclopedic knowledge.
Toward Communicating Simple Sentences Using Pictorial Representations
This article discusses communicating simple sentences using pictorial representations.
User-Based Channel Assignment Algorithm in a Load-Balanced IEEE 802.11 WLAN
This article discusses a user-based channel assignment algorithm in a load-balanced IEEE 802.11 WLAN.
Using Encyclopedic Knowledge for Automatic Topic Identification
Abstract: This paper presents a method for automatic topic identification using an encyclopedic graph derived from Wikipedia. The system is found to exceed the performance of previously proposed machine learning algorithms for topic identification, with an annotation consistency comparable to human annotations.