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UNT College of Engineering
Applications of wireless sensors in monitoring Indoor Air Quality in the classroom environment
Date: 2012
Creator: Chamberlain, Blaine; Jordan, Georgette; Li, Xinrong; Thompson, Ruthanne; Borkar, Chirag & Mansour, Sahar
Description: This poster discusses applications of wireless sensors in monitoring indoor air quality in the classroom environment. The focus of this research project was to investigate Indoor Air Quality monitoring technologies, government regulations and policies, and best practices to improve IAQ.
Contributing Partner: UNT College of Engineering
Permallink:digital.library.unt.edu/ark:/67531/metadc155620/
Approximating User Distributions in WCDMA Networks Using 2-D Gaussian
Date: July 2005
Creator: Nguyen, Son & Akl, Robert G.
Description: This paper discusses approximating user distributions in WCDMA networks using 2-D Gaussian. Abstract: In this paper, we present an analytical model for approximating the user distributions in multi-cell third generation WCDMA networks using 2-dimensional Gaussian distributions by determining the means and the standard deviations of the distributions for every cell. This allows us to calculate the inter-cell interference and the reverse-link capacity of the network. The authors compare their model with simulation results and show that it is fast and accurate enough to be used efficiently in the planning process of large WCDMA networks.
Contributing Partner: UNT College of Engineering
Permallink:digital.library.unt.edu/ark:/67531/metadc30820/
Architecture Support for 3D Obfuscation
Date: May 2006
Creator: Gomathisankaran, Mahadevan & Tyagi, Akhilesh
Description: This article discusses architecture support for 3D obfuscation. Abstract: Software obfuscation is defined as a transformation of a program P into T(P) such that the whitebox and blackbox behaviors of T(P) are computationally indistinguishable. However, robust obfuscation is impossible to achieve with the existing software only solutions. This results from the power of the adversary model in DRM which is significantly more than in the traditional security scenarios. The adversary has complete control of the computing node - supervisory privileges along with the full physical as well as architectural object observational capabilities. In essence, this makes the operating system (or any other layer around the architecture) untrustworthy. Thus the trust has to be provided by the underlying architecture. In this paper, the authors develop an architecture to support 3-D obfuscation through the use of well known cryptographic methods. The three dimensional obfuscation hides the address sequencing, the contents associated with an address, and the temporal reuse of address sequences such as in loops (or the second order address sequencing). The software is kept as an obfuscated file system image statically. Moreover, its execution traces are also dynamically obfuscated along all the three dimensions of address sequencing, contents and second order ...
Contributing Partner: UNT College of Engineering
Permallink:digital.library.unt.edu/ark:/67531/metadc132973/
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. Abstract: Computer science and engineering communities have been exploring a variety of activities and techniques to attract and retain more students, especially women and minorities, to computer science and computer engineering degree programs. This paper briefly describes the efforts and results of a plan for actively recruiting young women into undergraduate computer engineering and computer science programs hosted by the University of North Texas (UNT). It also describes a series of activities aimed at improving the retention rate of students already in our programs, particularly during the freshman year. Such recruitment and retention efforts are critical to the country's efforts to increase the number of engineering professionals, and are a priority for the Computer Science and Engineering (CSE) Department at UNT.
Contributing Partner: UNT College of Engineering
Permallink:digital.library.unt.edu/ark:/67531/metadc30834/
Automatic generation of a coarse grained WordNet
Date: June 2001
Creator: Mihalcea, Rada, 1974- & Moldovan, Dan I.
Description: This paper discusses automatic generation of a coarse grained WordNet. Abstract: Several principles for the automatic transformation of WordNet into a coarser grained dictionary are proposed. A new version of WordNet is derived, leading to a reduction of 26% in the average polysemy of words, while introducing a small error rate of 2.1%, as measured on a sense tagged corpus.
Contributing Partner: UNT College of Engineering
Permallink:digital.library.unt.edu/ark:/67531/metadc83310/
Automatic Keyword Extraction for Learning Object Repositories
Date: October 2008
Creator: Coursey, Kino High; Mihalcea, Rada, 1974- & Moen, William E.
Description: Abstract: This paper describes experiments in metadata generation for learning object repositories. Specifically, the authors present several methods for automatic keyword extraction and evaluate them on a collection of learning objects from an undergraduate history course. The results suggest that automatic keyword extraction is a viable solution for suggesting terms and phrases for metadata annotation.
Contributing Partner: UNT College of Engineering
Permallink:digital.library.unt.edu/ark:/67531/metadc31003/
An Automatic Method for Generating Sense Tagged Corpora
Date: 1999
Creator: Mihalcea, Rada, 1974- & Moldovan, Dan I.
Description: This paper discusses an automatic method for generating sense tagged corpora. Abstract: The unavailability of very large corpora with semantically disambiguated words is a major limitation in text processing research. For example, statistical methods for word sense disambiguation of free text are known to achieve high accuracy results when large corpora are available to develop context rules, to train and test them. This article presents a novel approach to automatically generate arbitrarily large corpora for word senses. The method is based on (1) the information provided in WordNet, used to formulate queries consisting of synonyms or definitions of word senses, and (2) the information gathered from Internet using existing search engines. The method was tested on 120 word senses and a precision of 91% was observed.
Contributing Partner: UNT College of Engineering
Permallink:digital.library.unt.edu/ark:/67531/metadc83300/
BABYLON Parallel Text Builder: Gathering Parallel Texts for Low-Density Languages
Date: May 2008
Creator: Mohler, Michael & Mihalcea, Rada, 1974-
Description: This paper discusses BABYLON parallel text builder. Abstract: This paper describes BABYLON, a system that attempts to overcome the shortage of parallel texts in low-density languages by supplementing existing parallel texts with texts gathered automatically from the Web. In addition to the identification of entire Web pages, the authors also propose a new feature specifically designed to find parallel text chunks within a single document. Experiments carried out on the Quechua-Spanish language pair show that the system is successful in automatically identifying a significant amount of parallel texts on the Web. Evaluations of a machine translation system trained on this corpus indicate that the Web-gathered parallel texts can supplement manually compiled parallel texts and perform significantly better than the manually compiled texts when tested on other Web-gathered data.
Contributing Partner: UNT College of Engineering
Permallink:digital.library.unt.edu/ark:/67531/metadc31004/
A Bootstrapping Method for Building Subjectivity Lexicons for Languages with Scarce Resources
Date: May 2008
Creator: Banea, Carmen; Wiebe, Janyce M. & Mihalcea, Rada, 1974-
Description: Abstract: This paper introduces a method for creating a subjectivity lexicon for languages with scarce resources. The method is able to build a subjectivity lexicon by using a small seed set of subjectivity words, and online dictionary, and a small raw corpus, coupled with a bootstrapping process that ranks new candidate words based on a similarity measure. Experiments performed with a rule-based sentence level subjectivity classifier show an 18% absolute improvement in F-measure as compared to previously proposed semi-supervised methods.
Contributing Partner: UNT College of Engineering
Permallink:digital.library.unt.edu/ark:/67531/metadc31002/
Bringing real world applications for wireless sensor networks into the classroom: Telemetric monitoring of water quality in an artificial stream
Date: 2012
Creator: Bunn, Zac; Guerrero, Jose; Wolf, Lori; Fu, Shengli; Hoeinghaus, David; Driver, Luke et al
Description: This report discusses aquatic sensors and telemetric monitoring of water quality in an artificial stream. Abstract: This research report covers the use of a wireless sensor network (WSN) using the ZigBee protocol to remotely monitor an artificial aquatic ecosystem. Field tests were conducted at the University of North Texas Water Research Facility to compare the accuracy of a high-end standard YSI multi probe system to a cost efficient lab developed sensor cluster, which would be used in the classroom to bring more real-world experiences in engineering to students. Measurements were recorded every 10 seconds for pH, dissolved oxygen, and temperature for a period of 24 hours. Comparison results show a 10 percent degree of variability in dissolved oxygen possibly due to the sensitivity of the DO sensors themselves. On the other hand, temperature and pH measured less than a 5 percent error.
Contributing Partner: UNT College of Engineering
Permallink:digital.library.unt.edu/ark:/67531/metadc155617/