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  Partner: UNT College of Engineering
 Decade: 2000-2009
 Collection: UNT Scholarly Works
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 Mechanical and Energy Engineering curriculum. Abstract: The continuing expansion of the new College of Engineering at the University of North Texas (UNT) has created an opportunity to establish a new Department of Mechanical and Energy Engineering and an excellent occasion for the establishment of innovative and interdisciplinary approaches to engineering education. The explicit addition of Energy to the Mechanical Engineering curriculum is a new model of engineering education that parallels the innovations of our current Learning to Learn (L2L) project oriented concept course with the addition of innovative approaches for mechanical engineering and emphasis on energy engineering education. The new Mechanical and Energy Engineering (MEE) baccalaureate-level program will provide the intellectual foundation for successful career preparation and lifelong learning for the students. This innovative curriculum has been designed with a system-level approach to ME-based design., on the fundamentals of undergraduate level energy engineering within the mechanical engineering discipline, and will provide experiential-oriented approaches for the better understanding of classical mechanical engineering principles. It will also provide a new interdisciplinary ME curriculum approach to the most important energy technology areas. We are going to present the curriculum and discuss components of the program from freshman to to senior ...
Contributing Partner: UNT College of Engineering
Agent-based Distance Vector Routing: A Resource Efficient and Scalable approach to Routing in Large Communication Networks

Agent-based Distance Vector Routing: A Resource Efficient and Scalable approach to Routing in Large Communication Networks

Date: March 25, 2002
Creator: Amin, Kaizar A. & Mikler, Armin R.
Description: This article discusses agent-based distance vector routing. Abstract: In spite of the ever-increasing availability of computation and communication resources in modern networks, the overhead associated with network management protocols, such as traffic control and routing, continues to be an important aspect in the design of new methodologies. Resource efficiency of such protocols has become even more prominent with the recent developments of wireless and ad-hoc networks, which are marked by much more severe resource constraints in terms of bandwidth, memory, and computational capabilities. This paper presents an Agent-Based approach to Distance Vector Routing that addresses these resources constraints. Agent-Based Distance Vector Routing (ADVR) is a resource efficient implementation of Distance Vector Routing that is fault tolerant and scales well for large networks. ADVR draws upon some basic biologically inspired principles to facilitate coordination among the mobile agents that implement the routing task. Specifically, simulated pheromones are used to control the movement of agents within the network and to dynamically adjust the number of agents in the population. The behavior of ADVR is analyzed and compared to that of traditional Distance Vector Routing.
Contributing Partner: UNT College of Engineering
An Algorithm for Open Text Semantic Parsing

An Algorithm for Open Text Semantic Parsing

Date: August 2004
Creator: Shi, Lei & Mihalcea, Rada
Description: Abstract: This paper describes an algorithm for open text shallow semantic parsing. The algorithm relies on a frame dataset (FrameNet) and a semantic network (WordNet), to identify semantic relations between words in open text, as well as shallow semantic features associated with concepts in the text. Parsing semantic structures allows semantic units and constituents to be accessed and processed in a more meaningful way than syntactic parsing, moving the automation of understanding natural language text to a higher level.
Contributing Partner: UNT College of Engineering
Answering complex, list and context questions with LCC's Question-Answering Server

Answering complex, list and context questions with LCC's Question-Answering Server

Date: November 2001
Creator: Harabagiu, Sanda; Moldovan, Dan; Paşca, Marius; Surdeanu, Mihai; Mihalcea, Rada; Gîrju, Roxana et al
Description: Abstract: This paper presents the architecture of the Question-Answering server (QAS) developed at the Language Computer Corporation (LCC) and used in the TREC-10 evaluations. LCC's QAS™ extracts answers for (a) factual questions of variable degree of difficulty; (b) questions that expect lists of answers; and (c) questions posed in the context of previous questions and answers. One of the major novelties is the implementation of bridging inference mechanisms that guide the search for answers to complex questions. Additionally, LCC's QAS™ encodes an efficient way of modeling context via reference resolution. In TREC-10, this system generated an RAR of 0.58 on the main task and 0.78 on the context task.
Contributing Partner: UNT College of Engineering
Approximating User Distributions in WCDMA Networks Using 2-D Gaussian

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
Architecture Support for 3D Obfuscation

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
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. 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
Automatic generation of a coarse grained WordNet

Automatic generation of a coarse grained WordNet

Date: June 2001
Creator: Mihalcea, Rada & Moldovan, Dan
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
Automatic Keyword Extraction for Learning Object Repositories

Automatic Keyword Extraction for Learning Object Repositories

Date: October 2008
Creator: Coursey, Kino High; Mihalcea, Rada & 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
BABYLON Parallel Text Builder: Gathering Parallel Texts for Low-Density Languages

BABYLON Parallel Text Builder: Gathering Parallel Texts for Low-Density Languages

Date: May 2008
Creator: Mohler, Michael & Mihalcea, Rada
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
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