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UNT College of Engineering
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
Permallink:digital.library.unt.edu/ark:/67531/metadc67616/
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
Permallink:digital.library.unt.edu/ark:/67531/metadc111275/
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
Permallink:digital.library.unt.edu/ark:/67531/metadc30953/
Amazon Mechanical Turk for Subjectivity Word Sense Disambiguation
Date: June 2010
Creator: Akkaya, Cem; Conrad, Alexander; Wiebe, Janyce & Mihalcea, Rada
Description: This paper discusses word sense disambiguation. Abstract: Amazon Mechanical Turk (MTurk) is a marketplace for so-called "human intelligence tasks" (HITs), or tasks that are easy for humans but currently difficult for automated processes. Providers upload tasks to MTurk which workers then complete. Natural language annotation is one such human intelligence task. In this paper, the authors investigate using MTurk to collect annotations for Subjectivity Word Sense Disambiguation (SWSD), a course-grained word sense disambiguation task. The authors investigate whether they can use MTurk to acquire good annotations with respect to gold-standard data, whether they can filter out low-quality workers (spammers), and whether there is a learning effect associated with repeatedly completing the same kind of task. While our results with respect to spammers are inconclusive, the authors are able to obtain high-quality annotations for the SWSD task. These results suggest a greater role for MTurk with respect to constructing a large scale SWSD system in the future, promising substantial improvement in subjectivity and sentiment analysis.
Contributing Partner: UNT College of Engineering
Permallink:digital.library.unt.edu/ark:/67531/metadc31023/
Anchor Nodes Placement for Effective Passive Localization
Date: 2011
Creator: Akl, Robert G.; Pasupathy, Karthik & Haidar, Mohamad
Description: This paper discusses anchor nodes placement for effective passive localization. Abstract: In many applications, the exact location of the sensor nodes is unknown after deployment. Localization is a process used to locate sensor nodes' positional coordinates, which is vital information. The localization is generally assisted by anchor nodes that are also sensor nodes but with known locations. Anchor nodes generally are expensive and need to be optimally placed for effective localization. Passive localization is one of the localization techniques where the sensor nodes silently listen to the global events like thunder sounds, seismic waves, lighting, etc. According to previous studies, the ideal location to place anchor nodes was on the perimeter of the sensor network. This may not be the case in passive localization, since the function of anchor nodes here is different than the anchor nodes used in other localization systems. The authors do extensive studies on positioning anchor nodes for effective localization. Several simulations are run in dense and sparse networks for proper positioning of anchor nodes. The authors show that, for effective passive localization, the optimal placement of the anchor nodes is at the center of the network in such a way that no three anchor nodes ...
Contributing Partner: UNT College of Engineering
Permallink:digital.library.unt.edu/ark:/67531/metadc77116/
Annotating and Identifying Emotions in Text
Date: 2010
Creator: Strapparava, Carlo & Mihalcea, Rada
Description: This book chapter discusses annotating and identifying emotions in text. Abstract: This paper focuses on the classification of emotions and polarity in news headlines and it is meant as an exploration of the connection between emotions and lexical semantics. The authors first describe the construction of the data set used in evaluation exercise "Affective Text" task at SemEval 2007, annotated for six basic emotions: Anger, Disgust, Fear, Joy, Sadness, and Surprise, and for Positive and Negative polarity. The authors also briefly describe the participating systems and their results. Second, exploiting the same data set, the authors propose and evaluate several knowledge-based and corpus-based methods for the automatic identification of emotions in text.
Contributing Partner: UNT College of Engineering
Permallink:digital.library.unt.edu/ark:/67531/metadc31010/
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
Permallink:digital.library.unt.edu/ark:/67531/metadc83297/
Applications of Logic Flowcharting With a Focus in Autonomous Robotic Operations
Date: 2012
Creator: Sink, Ashley Elizabeth; Gscheidle, Karl H.; Namuduri, Kamesh; Li, Li & Sterling, Phillip
Description: This poster discusses applications of logic flowcharting with a focus in autonomous robotic operations. The focus of this research project was to determine interactivity between flowcharting algorithms and programming of various robotic platforms.
Contributing Partner: UNT College of Engineering
Permallink:digital.library.unt.edu/ark:/67531/metadc155639/
Applications of Logic Flowcharting With a Focus in Autonomous Robotic Operations
Date: 2012
Creator: Sink, Ashley Elizabeth; Gscheidle, Karl H.; Namuduri, Kamesh; Li, Li & Sterling, Phillip
Description: This report discusses applications of logic flowcharting with a focus in autonomous robotic operations. Abstract: The focus of this research project was to determine interactivity between flowcharting algorithms and programming of various robotic platforms. We explored various flowcharting schemes and applications and implemented them on programming platforms for Acroname Garcia robots and LEGO Mindstorms NXT 2.0. The flowcharting and programming experiences have been used to develop a lesson plan on logic and the fundamentals of programming that will be used in high school Engineering Design and Problem Solving classes.
Contributing Partner: UNT College of Engineering
Permallink:digital.library.unt.edu/ark:/67531/metadc155640/
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 report discusses applications of wireless sensors in monitoring Indoor Air Quality in the classroom environment. Abstract: The focus of this research project was to investigate Indoor Air Quality monitoring technologies, government regulations and policies, and best practices to improve IAQ while minimizing the adverse effect of poor IAQ, specifically in the classroom environment. The investigation involved two parts: development of a cost effective indoor air quality prototype sensor unit and the deployment of the unit to monitor 5 different indoor locations. The data from the sample monitoring locations will then be compiled and analyzed. In addition, researching the literature was instrumental in establishing the parameters for testing the environment and conducting experiments. This provided valuable experiences which will be shared with both district teachers and students.
Contributing Partner: UNT College of Engineering
Permallink:digital.library.unt.edu/ark:/67531/metadc155621/