Digital Commons Network^™

Modeling Tolerance In Dynamic Social Networks, Amanda Luby

Honors Theses, 1963-2015

The study of social networks has become increasingly important in recent years. Multi-agent systems research has proven to be an effective way of representing both static and dynamic social networks in order to model and analyze many different situations. Previous implementations of multi-agent systems have observed a phenomenon called tolerance between agents through simulation studies, which is defined as an agent maintaining an unrewarding connection. This concept has also arisen in the social sciences through the study of networks. We aim to bridge this gap between simulation studies in multi-agent systems and real-world observations. This project explores how local interactions …

Online Efficient And Effective Search In Large And Noisy Sequence Databases, Alexios Kotsifakos

Computer Science and Engineering Dissertations - Archive

This thesis investigates the problem of similarity search in large and noisy sequence databases. A key application domain of interest in this work is the very challenging Query-By-Humming (QBH) problem, according to which, given a hummed part of a song, we would like to identify the closest matches in a large music repository. The problem of selecting the most appropriate, based on each specific query, distance measure out of a pool of measures for classification in time series data is also investigated. In addition, searching time series databases via examples, which may be either time series or models, is also …

Eastern Michigan University Graduate Catalog, 2014-2015, Office Of The Registrar

Graduate Catalogs

No abstract provided.

Location Prediction Of Twitter Users Using Wikipedia, Revathy Krishnamurthy, Pavan Kapanipathi, Amit P. Sheth, Krishnaprasad Thirunarayan

Kno.e.sis Publications

The mining of user generated content in social media has proven very effective in domains ranging from personalization and recommendation systems to crisis management. The knowledge of online users locations makes their tweets more informative and adds another dimension to their analysis. Existing approaches to predict the location of Twitter users are purely data-driven and require large training data sets of geo-tagged tweets. The collection and modelling process of tweets can be time intensive. To overcome this drawback, we propose a novel knowledge based approach that does not require any training data. Our approach uses information in Wikipedia, about cities …

Review Of The Outer Limits Of Reason, Michael S. Barr

Reviews

This beautifully-written book explores a variety of topics that are either impossible to resolve or unfeasible (and likely permanently so). It is written in such a way that most (although probably not all) of the material will be accessible to non-mathematicians. Both my wife (who studied no mathematics at the college level) and my daughter (whose mathematical training stopped with calculus) read early versions of this book and agree with that assessment. (Full disclosure: both of them, along with me, are thanked in the Acknowledgments). However, there is much in here that was new and interesting to me, so its …

Prune-And-Score: Learning For Greedy Coreference Resolution, Chao Ma, Janardhan Rao Doppa, J. Walker Orr, Prashanth Mannem, Xiaoli Fern, Tom Dietterich, Prasad Tadepalli

Faculty Publications - Department of Electrical Engineering and Computer Science

We propose a novel search-based approach for greedy coreference resolution, where the mentions are processed in order and added to previous coreference clusters. Our method is distinguished by the use of two functions to make each coreference decision: a pruning function that prunes bad coreference decisions from further consideration, and a scoring function that then selects the best among the remaining decisions. Our framework reduces learning of these functions to rank learning, which helps leverage powerful off-the-shelf rank-learners. We show that our Prune-and-Score approach is superior to using a single scoring function to make both decisions and outperforms several state-of-the-art …

A Context-Driven Subgraph Model For Literature-Based Discovery, Delroy Huborn Cameron

Browse all Theses and Dissertations

Literature-Based Discovery (LBD) refers to the process of uncovering hidden connections that are implicit in scientific literature. Numerous hypotheses have been generated from scientific literature using the LBD paradigm, which influenced innovations in diagnosis, treatment, preventions and overall public health. However, much of the existing research on discovering hidden connections among concepts have used distributional statistics and graph-theoretic measures to capture implicit associations. Such metrics do not explicitly capture the semantics of hidden connections. Rather, they only allude to the existence of meaningful underlying associations. To gain in-depth insights into the meaning of hidden (and other) connections, complementary methods have …

Classifying Idiomatic And Literal Expressions Using Topic Models And Intensity Of Emotions, Jing Peng, Anna Feldman, Ekaterina Vylomova

Department of Computer Science Faculty Scholarship and Creative Works

We describe an algorithm for automatic classification of idiomatic and literal expressions. Our starting point is that words in a given text segment, such as a paragraph, that are highranking representatives of a common topic of discussion are less likely to be a part of an idiomatic expression. Our additional hypothesis is that contexts in which idioms occur, typically, are more affective and therefore, we incorporate a simple analysis of the intensity of the emotions expressed by the contexts. We investigate the bag of words topic representation of one to three paragraphs containing an expression that should be classified as …

Wonder-Worlds Of Words, Sandra A. Yocum

Theology and Religious Studies Faculty Publications

An essay on the impact of the works in the Imprints and Impressions: Milestones in Human Progress, an exhibition of rare books from the collection of Stuart Rose. Exhibition was held Sept. 29-Nov. 9, 2014, at the University of Dayton.

Exhibition Catalogue — Imprints And Impressions: Milestones In Human Progress, Paul H. Benson, Sandra A. Yocum, Mark Masthay, Donald J. Polzella

Supplemental Media

Exhibition catalogue for Imprints and Impressions: Milestones in Human Progress — Highlights from the Rose Rare Book Collection. Includes an introduction by Kathleen M. Webb, dean of University Libraries; essays about the impact of the exhibition's books on modern inquiry, the humanities, the sciences, and the social sciences; and photographs of the works in the exhibit.

An Empirical Study Of The Impact Of Idioms On Phrase Based Statistical Machine Translation Of English To Brazilian-Portuguese, Giancarlo Salton, Robert J. Ross, John D. Kelleher

Conference papers

This paper describes an experiment to evaluate the impact of idioms on Statis- tical Machine Translation (SMT) process using the language pair English/Brazilian- Portuguese. Our results show that on sen- tences containing idioms a standard SMT system achieves about half the BLEU score of the same system when applied to sentences that do not contain idioms. We also provide a short error analysis and out- line our planned work to overcome this limitation.

Optimal Fuzzy Load Frequency Controller With Simultaneous Auto-Tuned Membership Functions And Fuzzy Control Rules, Abas Ali Zamani, Ehsan Bijami, Farid Sheikholeslam, Bahram Jafrasteh

Turkish Journal of Electrical Engineering and Computer Sciences

In this paper, an auto-tuned fuzzy load frequency controller (FLFC)-based artificial bee colony (ABC) algorithm is developed to quench the deviations in the frequency and tie-line power due to load disturbances in an interconnected power system. Optimal tuning of membership functions (MFs) and fuzzy control rules is very important to improve the design performance and achieve a satisfactory level of robustness for a particular operation. In this work, to reduce the fuzzy system design effort and take large parametric uncertainties into account, a new systematic and simultaneous tuning method is developed for designing MFs and fuzzy rules. For this, the …

An Information Security Control Assessment Methodology For Organizations, Angel Rafael Otero

CCAC Theses and Dissertations

In an era where use and dependence of information systems is significantly high, the threat of incidents related to information security that could jeopardize the information held by organizations is more and more serious. Alarming facts within the literature point to inadequacies in information security practices, particularly the evaluation of information security controls in organizations. Research efforts have resulted in various methodologies developed to deal with the information security controls assessment problem. A closer look at these traditional methodologies highlights various weaknesses that can prevent an effective information security controls assessment in organizations. This dissertation develops a methodology that addresses …

Time Will Tell : Temporal Reasoning In Clinical Narratives And Beyond, Weiyi Sun

Legacy Theses & Dissertations (2009 - 2024)

Temporal reasoning in natural language refers to the extraction and understanding of time-related information conveyed in free text. A clinical narrative temporal reasoning component can enable a spectrum of medical natural language processing (NLP) applications that directly improve patient care documentation efficiency, accessibility and accountability. This dissertation contributes in three subtasks under temporal reasoning: temporal annotation, temporal expression extraction and temporal relation inferences. The temporal annotation work described in the dissertation produced one of the first publicly available clinical narratives. We published one of the first sets of temporal

A New Approach In The Evaluation Of Hospital Information Systems, Güney Gürsel, Neşe Zayi̇m, Kemal Hakan Gülkesen, Ali̇ Ari̇foğlu, Osman Saka

Turkish Journal of Electrical Engineering and Computer Sciences

Hospital information system (HIS) evaluation frameworks have largely been discussed in the literature. However, existing frameworks lack one important aspect: to what extent user expectations of HISs are met. In this study, user expectation data are collected by means of the 'expectation questionnaire'. The internal consistencies of the answers to the questionnaire are measured by Cronbach's alpha coefficient. Fuzzy logic methodologies are used to evaluate the expectation variables in the proposed evaluation framework. The evaluation variables are not represented in the results equally; they are reflected by the weights assigned by the users. Our proposed framework provides the overall degree …

Expert Doctor Verdis: Integrated Medical Expert System, Aytürk Keleş

Turkish Journal of Electrical Engineering and Computer Sciences

Innovative medical technologies are developing day by day, as there is an important need for integrated medical expert systems (ESs) that will help to effectively manage and control diagnosis and treatment processes. These systems, with new approaches, have improved the experiences and capabilities of physicians to make the diagnosis of diseases. In this work, an integrated medical ES called Expert Doctor Verdis (Ex-Dr Verdis) is developed, which combines an advanced medical information system containing various medical services supported by information technologies, with ES capabilities in a single system. This system is also one kind of decision support system. Implementation of …

The Rna Newton Polytope And Learnability Of Energy Parameters, Elmirasadat Forouzmand

Wayne State University Theses

Computational RNA secondary structure prediction has been a topic of much research interest for several decades now. Despite all the progress made in the field, even the state-of-the-art algorithms do not provide satisfying results, and the accuracy of output is limited for all the existent tools. Very complex energy models, different parameter estimation methods, and recent machine learning approaches had not been the answer for this problem. We believe that the first step to achieve results with high quality is to use the energy model with the potential for predicting accurate output. Hence, it is necessary to have a systematic …

Functional Scaffolding For Musical Composition: A New Approach In Computer-Assisted Music Composition, Amy K. Hoover

Electronic Theses and Dissertations

While it is important for systems intended to enhance musical creativity to define and explore musical ideas conceived by individual users, many limit musical freedom by focusing on maintaining musical structure, thereby impeding the user's freedom to explore his or her individual style. This dissertation presents a comprehensive body of work that introduces a new musical representation that allows users to explore a space of musical rules that are created from their own melodies. This representation, called functional scaffolding for musical composition (FSMC), exploits a simple yet powerful property of multipart compositions: The pattern of notes and rhythms in different …

Communication Neutrosophic Routes, Florentin Smarandache, Ştefan Vlăduţescu

Branch Mathematics and Statistics Faculty and Staff Publications

Any manifestation of life is a component of communication, it is crossed by a communication passage. People irrepressibly generate meanings. As structuring domain of meanings, communication is a place where meanings burst out volcanically. Manifestations of life are surrounded by a halo of communicational meanings. Human material and ideatic existence includes a great potential of communication in continuous extension. The human being crosses the path of or is at the intersection of different communicational thoroughfares. The life of human beings is a place of communication. Consequently, any cognitive or cogitative manifestation presents a route of communication. People consume their lives …

Towards A Practical Communication Intervention, Florentin Smarandache, Stefan Vladutescu

Branch Mathematics and Statistics Faculty and Staff Publications

The study starts from evidence that several communication acts fail, but nobody is called to intervene and nobody thinks of intervening. Examining different branches (specialties) of the communication discipline and focusing on four possible practices, by comparison, differentiation, collating and corroboration, the current study brings arguments for a branch of the communication discipline that has as unique practical aim the communicational intervention, the practical, direct and strict application of communication research. Communication, as discipline, must create an instrument of intervention. The discipline which studies communication globally (General Communication Science) has developed a strong component of theoretical and practical research of …

Eccentricity, Space Bending, Dimension, Florentin Smarandache, Marian Nitu, Mircea Eugen Selariu

Branch Mathematics and Statistics Faculty and Staff Publications

The main goal of this paper is to present new transformations, previously non-existent in traditional mathematics, that we call centric mathematics (CM) but that became possible due to the new born eccentric mathematics, and, implicitly, to the supermathematics (SM).

As shown in this work, the new geometric transformations, namely conversion or transfiguration, wipe the boundaries between discrete and continuous geometric forms, showing that the first ones are also continuous, being just apparently discontinuous.

New Operations Over Interval Valued Intuitionistic Hesitant Fuzzy Set, Florentin Smarandache, Said Broumi

Branch Mathematics and Statistics Faculty and Staff Publications

Hesitancy is the most common problem in decision making, for which hesitant fuzzy set can be considered as a useful tool allowing several possible degrees of membership of an element to a set. Recently, another suitable means were defined by Zhiming Zhang [1], called interval valued intuitionistic hesitant fuzzy sets, dealing with uncertainty and vagueness, and which is more powerful than the hesitant fuzzy sets. In this paper, four new operations are introduced on interval-valued intuitionistic hesitant fuzzy sets and several important properties are also studied.

New Operations On Interval Neutrosophic Sets, Said Broumi, Florentin Smarandache

Branch Mathematics and Statistics Faculty and Staff Publications

An interval neutrosophic set is an instance of a neutrosophic set, which can be used in real scientific and engineering applications. In this paper, three new operations based on the arithmetic mean, geometrical mean, and respectively harmonic mean are defined on interval neutrosophic sets.

Communicative Universal Convertibility Matter-Energy-Information, Florentin Smarandache, Stefan Vladutescu

Branch Mathematics and Statistics Faculty and Staff Publications

The research aims to reveal and prove the thesis of the neutral and convertibility relationship between constituent constructive elements of the universe: matter, energy and information. The approach perspective is a computationally-communicative-neutrosophic one. We configure a coherent and cohesive ideation line. Matter, energy and information are fundamental elements of the world. Among them, there is an inextricable multiple, elastic and evolutionary connection. The elements are defined by the connections between them. Our hypothesis is that the relationship between matter, energy and information is a neutral one. This relationship is not required by the evidence. At this level, it does not …

Hispanic Communities And Environmental Justice: A Comparative Study Of Mobility And Exposure To Air Toxics In Houston, Maricarmen Hernandez

Open Access Theses & Dissertations

Environmental justice research has focused too little attention on immigrant communities. This study extends from the premise that themes of immigration and mobility among racial/ethnic minority communities must be more carefully analyzed by environmental justice (EJ) scholars. By clarifying why Hispanic people live where they live, and what factors shape their exposures to cancer risks from hazardous air pollutants, this study aims to contribute to the existing EJ body of knowledge. The analysis employs qualitative methods, implemented as part of a larger National Science Foundation-funded study. In-depth semi-structured phone interviews were conducted with randomly selected Hispanic individuals, some of whom …

Rare Books And Social Science, Donald J. Polzella

Psychology Faculty Publications

An essay on the impact of the works in the Imprints and Impressions: Milestones in Human Progress, an exhibition of rare books from the collection of Stuart Rose. Exhibition was held Sept. 29-Nov. 9, 2014, at the University of Dayton.

Euler, Reader Of Newton: Mechanics And Algebraic Analysis, Sébastien Maronne, Marco Panza

MPP Published Research

We follow two of the many paths leading from Newton’s to Euler’s scientific productions, and give an account of Euler’s role in the reception of some of Newton’s ideas, as regards two major topics: mechanics and algebraic analysis. Euler contributed to a re-appropriation of Newtonian science, though transforming it in many relevant aspects. We study this re-appropriation with respect to the mentioned topics and show that it is grounded on the development of Newton’s conceptions within a new conceptual frame also influenced by Descartes’s views sand Leibniz’s formalism.

Idiographic Digital Profiling: Behavioral Analysis Based On Digital Forensics, Chad M. Steel

Journal of Digital Forensics, Security and Law

Idiographic digital profiling (IDP) is the application of behavioral analysis to the field of digital forensics. Previous work in this field takes a nomothetic approach to behavioral analysis by attempting to understand the aggregate behaviors of cybercriminals. This work is the first to take an idiographic approach by examining a particular subject's digital footprints for immediate use in an ongoing investigation. IDP provides a framework for investigators to analyze digital behavioral evidence for the purposes of case planning, subject identification, lead generation, obtaining and executing warrants, and prosecuting offenders.

Table Of Contents

Journal of Digital Forensics, Security and Law

No abstract provided.

The Impact Of Student Centered Learning Strategies In Middle School Earth Science, Zane Jay Whittington

LSU Master's Theses

Research continues to reinforce that student centered classrooms and interactive engagement (IE) strategies, when used effectively, can produce considerable gains compared to traditional instruction methods. In this study, IE strategies, primarily modeling instruction, were compared to traditional instruction in a middle school classroom to determine if IE strategies would have an impact in two specific areas: graphing ability and science reasoning skills. Class mean scores on tests were compared over time to show that IE strategies produced greater gains in graphing and science reasoning than traditional instruction for one group. The other group did not see significant differences in graphing …