Digital Commons Network^™

Semantic Modeling Of Requirements: Leveraging Ontologies In Systems Engineering, Masood S. Mir

Theses and Dissertations

The interdisciplinary nature of Systems Engineering (SE), having stakeholders from diverse domains with orthogonal facets, and need to consider all stages of lifecycle of system during conception, can benefit tremendously by employing Knowledge Engineering (KE) to achieve semantic agreement among all stakeholders for all stages of life cycle. Present practices in SE, such as using Vocabularies, Processes, Standards, and Modeling Languages are oriented towards manual reasoning of system concepts and relations to achieve semantic agreement. Semantic Web (SW) is being developed to provide KE and automated reasoning to the unstructured information, in huge amounts, present on the World Wide Web, …

Csc Senior Project: Nlpstats, Michael Mease

Computer Science and Software Engineering

Natural Language Processing has recently increased in popularity. The field of authorship analysis, specifically, uses various characteristics of text quantified by markers. NLPStats serves as a tool designed to streamline marker extraction based on user needs. A flexible query system allows for custom marker requests, adjustment of result formatting, and preprocessing options. Furthermore, an efficiently designed structure ensures that users retrieve information quickly. As a whole, NLPStats enables anyone, regardless of NLP experience, to extract important information about the text of a document.

Computational Science, Demystified...The Future, Revealed...And Cise, 2013, George K. Thiruvathukal

Computer Science: Faculty Publications and Other Works

What are some of the exciting avenues that computational science is exploring, and how can we best give a voice to such emerging ideas?

A Self-Training Framework For Automatic Identification Of Exploratory Dialogue, Zhongyu Wei, Yulan He, Simon Shum, Rebecca Ferguson, Wei Gao, Kam-Fai Wong

Research Collection School Of Computing and Information Systems

The dramatic increase in online learning materials over the last decade has made it difficult for individuals to locate information they need. Until now, researchers in the field of Learning Analytics have had to rely on the use of manual approaches to identify exploratory dialogue. This type of dialogue is desirable in online learning environments, since training learners to use it has been shown to improve learning outcomes. In this paper, we frame the problem of exploratory dialogue detection as a binary classification task, classifying a given contribution to an online dialogue as exploratory or non-exploratory. We propose a self-training …

Object-Oriented Programming: Some History, And Challenges For The Next Fifty Years, Andrew P. Black

Computer Science Faculty Publications and Presentations

Object-oriented programming is inextricably linked to the pioneering work of Ole-Johan Dahl and Kristen Nygaard on the design of the Simula language, which started at the Norwegian Computing Centre in the Spring of 1961. However, object-orientation, as we think of it today—fifty years later—is the result of a complex interplay of ideas, constraints and people. Dahl and Nygaard would certainly recognize it as their progeny, but might also be amazed at how much it has grown up. This article is based on a lecture given on 22nd August 2011, on the occasion of the scientific opening of the Ole-Johan …

Research Challenges And Opportunities In Knowledge Representation, Natasha Noy, Deborah Mcguinness, Eyal Amir, Chitta Baral, Michael Beetz, Sean Bechhofer, Craig Boutilier, Anthony Cohn, Johan De Kleer, Michel Dumontier, Tim Finin, Kenneth Forbus, Lise Getoor, Yolanda Gil, Jeff Heflin, Pascal Hitzler, Craig Knoblock, Henry Kautz, Yuliya Lierler, Vladimir Lifschitz, Peter F. Patel-Schneider, Christine Piatko, Doug Riecken, Mark Schildhauer

Computer Science and Engineering Faculty Publications

Modern intelligent systems in every area of science rely critically on knowledge representation and reasoning (KR). The techniques and methods developed by the researchers in knowledge representation and reasoning are key drivers of innovation in computer science; they have led to significant advances in practical applications in a wide range of areas from natural-­‐language processing to robotics to software engineering. Emerging fields such as the semantic web, computational biology, social computing, and many others rely on and contribute to advances in knowledge representation. As the era of “Big Data” evolves, scientists in a broad range of disciplines are increasingly relying …

What Kind Of #Conversation Is Twitter? Mining #Psycholinguistic Cues For Emergency Coordination, Hemant Purohit, Andrew Hampton, Valerie L. Shalin, Amit P. Sheth, John M. Flach, Shreyansh Bhatt

Kno.e.sis Publications

The information overload created by social media messages in emergency situations challenges response organizations to find targeted content and users. We aim to select useful messages by detecting the presence of conversation as an indicator of coordinated citizen action. Using simple linguistic indicators associated with conversation analysis in social science, we model the presence of conversation in the communication landscape of Twitter in a large corpus of 1.5M tweets for various disaster and non-disaster events spanning different periods, lengths of time and varied social significance. Within Replies, Retweets and tweets that mention other Twitter users, we found that domain-independent, linguistic …

17. Psychology, University Of Central Oklahoma

Oklahoma Research Day Abstracts

No abstract provided.

Visualizing The Novel, Clinton Mullins

Computer Science Honors Papers

No abstract provided.

Tr-2013008: Information Transmission In Communication Games Signaling With An Audience, Farishta Satari

Computer Science Technical Reports

No abstract provided.

Adaptive Semantic Annotation Of Entity And Concept Mentions In Text, Pablo N. Mendes

Kno.e.sis Publications

The recent years have seen an increase in interest for knowledge repositories that are useful across applications, in contrast to the creation of ad hoc or application-specific databases.
These knowledge repositories figure as a central provider of unambiguous identifiers and semantic relationships between entities. As such, these shared entity descriptions serve as a common vocabulary to exchange and organize information in different formats and for different purposes. Therefore, there has been remarkable interest in systems that are able to automatically tag textual documents with identifiers from shared knowledge repositories so that the content in those documents is described in a …

A Fuzzy Logic Approach To Collision Avoidance In Smart Uavs, Michelle Hromatka

Honors Theses, 1963-2015

In recent years, there has been a rise in attention given to the issue of collision avoidance techniques for unmanned aerial vehicles (UAVs). Many approaches have been proposed but very few have been tested in high density, fixed speed test conditions. This approach successfully uses fuzzy logic to determine an appropriate avoidance maneuver after a possible collision is detected. Initially, fuzzy logic was also used to detect possible collisions, the reasons this level was removed from the final results are detailed within. This approach was chosen for its adaptability, ease of implementation, and robustness in dealing with questionable sensing techniques. …

The Effectiveness Of Virtual Learning Tools For Millennial Generation Students In A Community College Criminal Justice Degree Program, Lawrence Snyder

CCAC Theses and Dissertations

An analysis of data from the Community College Survey of Student Engagement and multiyear analysis of pretest/posttest scores in introductory criminal justice courses revealed there was a systemic decline in student engagement and achievement. Because of this analysis, a commercial virtual learning tool (CJI) that purported great success in improving student engagement and performance was identified and implemented on the college's course management application in the spring of 2010. CJI, a comprehensive learning tool that incorporated Web 2.0 activities, such as video, simulations, and study aids, was designed to improve student engagement and performance. The inclusion of Web 2.0 activities …

Online Deception Detection Using Bdi Agents, Richard Alan Merritts

CCAC Theses and Dissertations

This research has two facets within separate research areas. The research area of Belief, Desire and Intention (BDI) agent capability development was extended. Deception detection research has been advanced with the development of automation using BDI agents. BDI agents performed tasks automatically and autonomously. This study used these characteristics to automate deception detection with limited intervention of human users. This was a useful research area resulting in a capability general enough to have practical application by private individuals, investigators, organizations and others. The need for this research is grounded in the fact that humans are not very effective at detecting …

A Method For Ontology-Based Semantic Relatedness Measurement, Görkem Gi̇ray, Murat Osman Ünalir

Turkish Journal of Electrical Engineering and Computer Sciences

There are many methods having different approaches for assessing similarity and relatedness and they are used in many application areas, including web service discovery, invocation and composition, word sense disambiguation, information retrieval, ontology alignment and merging, document clustering, and short answer grading. These methods can be categorized as path-based, information content-based, feature-based, geometric model-based, and hybrid approaches. These approaches use resources such as concept hierarchy, conceptual graph, and corpus for computing similarity and relatedness. With the rise of the semantic web, ontologies have attracted the attention of several researchers. Ontologies represented in the Web Ontology Language (OWL) are also valuable …

The Meaning Of Music-Making For Computer Scientists With A Serious Musing-Making Avocation: A Phenomenological Case Study, Varda Shaked

Educational Studies Dissertations

This study explores the meaning of music-making in the lives of computer scientists who play classical music as their serious avocation. In particular, it investigates their tendencies and capacities to concurrently engage in two such distinct disciplines on a regular basis, by exploring the cognitive, social, and cultural aspects of their concurrent engagement. While current research literature approaches the affinities between mathematicians/scientists and musicians through the presence of mathematical properties of music and through anecdotal evidence involving known persona and their innovations, this study provides a deeper look at the individuals who combine such worlds, in order to better understand …

Effects Of Social Media On Individual Voting, Noel Albert Bermudez

Communication & Leadership Dissertations and Theses

In the 2008 presidential campaign, Barack Obama established social media as an essential part of the campaign toolbox. Twitter, a widely-used social media site, provides a means of creating virtual communities that can instantly send messages and move "followers" to action. This thesis seeks to ascertain if Twitter messages - sent to known supporters by a presidential campaign asking a person to vote - can positively affect that person's likelihood to cast a ballot and, if so, would that vote be for the candidate whose campaign tweeted the message. Media ecology, as proposed by Marshall McLuhan and developed by Neil …

Automatic Identification Of Learners’ Language Background Based On Their Writing In Czech, Katsiaryna Aharodnik, Marco Chang, Anna Feldman, Jirka Hana

Department of Computer Science Faculty Scholarship and Creative Works

The goal of this study is to investigate whether learners’ written data in highly inflectional Czech can suggest a consistent set of clues for automatic identification of the learners’ L1 background. For our experiments, we use texts written by learners of Czech, which have been automatically and manually annotated for errors. We define two classes of learners: speakers of Indo-European languages and speakers of non-Indo-European languages. We use an SVM classifier to perform the binary classification. We show that non-content based features perform well on highly inflectional data. In particular, features reflecting errors in orthography are the most useful, yielding …

Emotion Capture: Emotionally Expressive Characters For Games, Cathy Ennis, Ludovic Hoyet, Arjan Egges, Rachel Mcdonnell

Conference papers

It has been shown that humans are sensitive to the portrayal of emotions for virtual characters. However, previous work in this area has often examined this sensitivity using extreme examples of facial or body animation. Less is known about how attuned people are at recognizing emotions as they are expressed during conversational communication. In order to determine whether body or facial motion is a better indicator for emotional expression for game characters, we conduct a perceptual experiment using synchronized full-body and facial motion-capture data. We find that people can recognize emotions from either modality alone, but combining facial and body …

Swarm Optimization Tuned Mamdani Fuzzy Controller For Diabetes Delayed Model, Mohammad Hassan Khooban, Davood Nazari Maryam Abadi, Alireza Alfi, Mehdi Siahi

Turkish Journal of Electrical Engineering and Computer Sciences

Diabetes is a chronic disease in which there are high levels of sugar in the blood. Insulin is a hormone that regulates the blood glucose level in the body. Diabetes mellitus can be caused by too little insulin, a resistance to insulin, or both. Although research activities on controlling blood glucose have been attempted to lower the blood glucose level in the quickest possible time, there are some shortages in the amount of the insulin injection. In this paper, a complete model of the glucose--insulin regulation system, which is a nonlinear delay differential model, is used. The purpose of this …

Text-Based Phishing Detection Using A Simulation Model, Gilchan Park

Open Access Theses

Phishing is one of the most potentially disruptive actions that can be performed on the Internet. Intellectual property and other pertinent business information could potentially be at risk if a user falls for a phishing attack. The most common way of carrying out a phishing attack is through email. The adversary sends an email with a link to a fraudulent site to lure consumers into divulging their confidential information. While such attacks may be easily identifiable for those well-versed in technology, it may be difficult for the typical Internet user to spot a fraudulent email.

The emphasis of this research …

On The Relationship Between The Vocabulary Of Bug Reports And Source Code, Amunugamage Buddhini Wathsala Bandara

Wayne State University Theses

The use of text retrieval techniques on concept location and bug localization yields remarkable benefits. The artifacts found in source code and bug reports contain important information related to the bug localization process. When locating the bugs, it is a programmer's task to formulate effective queries such that most of the predicted terms in the query appear in the relevant defect code, but not in most of the non-relevant source files. These queries are built based on the textual content found in the bug reports, especially the bug title and the description. A large body of research uses bug descriptions …

Authorship Attribution With Function Word N-Grams, Russell Clark Johnson

CCAC Theses and Dissertations

Prior research has considered the sequential order of function words, after the contextual words of the text have been removed, as a stylistic indicator of authorship. This research describes an effort to enhance authorship attribution accuracy based on this same information source with alternate classifiers, alternate n-gram construction methods, and a genetically tuned configuration.

The approach is original in that it is the first time that probabilistic versions of Burrows's Delta have been used. Instead of using z-scores as an input for a classifier, the z-scores were converted to probabilistic equivalents (since z-scores cannot be subtracted, added, or divided without …

Extracting Fuzzy Rules For The Diagnosis Of Breast Cancer, Ali̇ Keleş, Aytürk Keleş

Turkish Journal of Electrical Engineering and Computer Sciences

About one million women are diagnosed with breast cancer every year. Breast cancer makes up one-third of all cancer diagnoses in women. Diagnosing breast cancer early is vital for successful treatment. Among the breast cancer screening methods available today, mammography is the most effective, although the low precision rate of breast biopsy caused by mammogram interpretation results in approximately 70% unnecessary biopsies with benign outcomes. The aim of this study was to extract strong diagnostic fuzzy rules for the inference engine of an expert system to be used for the diagnosis of breast cancer. These rules have been extracted through …

Hedge Detection Using A Rewards And Penalties Approach, Ken Stahl

Legacy Theses & Dissertations (2009 - 2024)

Semantic and syntactic features found in text can be used in combination to statistically predict linguistic devices such as hedges in online chat. Some features are better indicators than others, and there are cases when multiple features need to be considered together to be useful. Once the features are identified, it becomes an optimization problem to find the best division of data.

Control In Networked Systems With Fuzzy Logic, Akhan Akbulut, Oğuzhan Öztaş

Turkish Journal of Electrical Engineering and Computer Sciences

Recently, the development of control systems based on network-based architecture is getting very high attention. Because of its fast data communication, network-based control is in high demand. However, there are some disadvantages, such as delays, data packet dropouts, and communication constraints. Network-based control systems are getting attention in the development of this architecture because of these disadvantages. Optimization of the system is supplied to improve the existing structure. The optimization is categorized into 2 main structures: software optimization and hardware optimization. The structure of the overall system is designed with these optimization strategies. A hierarchical and communicational structure has emerged …

Direct Adaptive Fuzzy Sliding Mode Decoupling Control For A Class Of Underactuated Mechanical Systems, Fares Nafa, Salim Labiod, Hachemi Chekireb

Turkish Journal of Electrical Engineering and Computer Sciences

Motivated by the dynamic characteristics of underactuated mechanical systems with 2 degrees of freedom, a decoupling adaptive fuzzy sliding mode decoupling controller (DAFSMDC) is presented in this paper. By exploiting the universal approximation property of fuzzy logic systems and the sliding mode control method, this paper proposes a new decoupling strategy of the system into 2 second-order subsystems and introduces an adaptive control algorithm that guarantees the convergence of both subsystems. Since fuzzy systems are used to approximate an unknown ideal controller, the adjustable parameters of the used fuzzy systems are updated using a gradient descent algorithm that is designed …

Anfis-Based Estimation Of Pv Module Equivalent Parameters: Application To A Stand-Alone Pv System With Mppt Controller, Ahmet Afşi̇n Kulaksiz

Turkish Journal of Electrical Engineering and Computer Sciences

The performance and system cost of photovoltaic (PV) systems can be improved by employing high-efficiency power conditioners with maximum power point tracking (MPPT) methods. Fast implementation and accurate operation of MPPT controllers can be realized by modeling the characteristics of PV modules, obtaining equivalent parameters. In this study, adaptive neuro-fuzzy inference systems (ANFISs) have been used to obtain 3 of the parameters in a single-diode model of PV cells, namely series resistance, shunt resistance, and diode ideality factor. The input parameters of ANFISs are a material-type of PV modules, short circuit current, open circuit voltage, and unit area under the …

Adaptive Control Of A Time-Varying Rotary Servo System Using A Fuzzy Model Reference Learning Controller With Variable Adaptation Gain, Ömer Aydoğdu, Özdemi̇r Alkan

Turkish Journal of Electrical Engineering and Computer Sciences

The constant parameters in a conventional fuzzy controller lead to a poor performance for time-varying systems. In this study, a fuzzy model reference learning controller (FMRLC) with a newly defined variable adaptation gain is designed and implemented in the adaptive fuzzy control of a time-varying rotary servo (TVRS) system. In the design of the FMRLC, a knowledge-base modification algorithm with variable adaptation gain is used instead of a fuzzy relation table. Hence, it is provided that the learning and adaptation mechanism continuously updates the knowledge base of the adaptive fuzzy controller against any parameter variations, such as changing loads. By …

A Video-Based Eye Pupil Detection System For Diagnosing Bipolar Disorder, Gökay Akinci, Edi̇z Polat, Orhan Murat Koçak

Turkish Journal of Electrical Engineering and Computer Sciences

Eye pupil detection systems have become increasingly popular in image processing and computer vision applications in medical systems. In this study, a video-based eye pupil detection system is developed for diagnosing bipolar disorder. Bipolar disorder is a condition in which people experience changes in cognitive processes and abilities, including reduced attentional and executive capabilities and impaired memory. In order to detect these abnormal behaviors, a number of neuropsychological tests are also designed to measure attentional and executive abilities. The system acquires the position and radius information of eye pupils in video sequences using an active contour snake model with an …