Digital Commons Network^™

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

Browse all Theses and Dissertations

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 …

Front Cover

International Journal of Speleology

No abstract provided.

Grappling With Issues Of Learning Science From Everyday Experiences: An Illustrative Case Study, A.-L. Tan, M. Kim, F. Talaue

Journal of Mathematics and Science: Collaborative Explorations

There are different perceptions among researchers with regard to the infusion of everyday experience in the teaching of science: 1) it hinders the learning of science concepts; or, 2) it increases the participation and motivation of students in science learning. This article attempts to contemplate those different perspectives of everyday knowledge in science classrooms by using everyday contexts to teach grade 3 science in Singapore. In this study, two groups of grade 3 students were presented with a scenario that required them to apply the concept of properties of materials to design a shoe. Subsequently, the transcripts of classroom discussions …

Exploiting Human Factors In User Authentication, Payas Gupta

Dissertations and Theses Collection (Open Access)

Our overarching issue in security is the human factor – and dealing with it is perhaps one of the biggest challenges we face today. Human factor is often described as the weakest part of a security system and users are often described as the weakest link in the security chain. In this thesis, we focus on two problems which are caused by human factors in user authentication and propose respective solutions. a) Secrecy information inference attack – publicly available information can be used to infer some secrecy information about the user. b) Coercion attack – where an attacker forces a …

Impact Of Multimedia In Sina Weibo, Xun Zhao

Dissertations and Theses Collection (Open Access)

Multimedia contents such as images and videos are widely used in social network sites nowadays. Sina Weibo, a Chinese microblogging service, is one of the first microblog platforms to incorporate multimedia content sharing features. This thesis provides statistical analysis on how multimedia contents are produced, consumed, and propagated in Sina Weibo. Based on 230 million tweets and 1.8 million user profiles in Sina Weibo, we study the impact of multimedia contents on the popularity of both users and tweets as well as tweet life span. In addition to consider the multimedia impact on popularity, we also compare the user influence …

Pronounced Genetic Structure In A Highly Mobile Coral Reef Fish, Caesio Cuning, In The Coral Triangle, Amanda S. Ackiss, Shinta Pardede, Eric D. Crandall, Ma Carmen A. Ablan-Lagman, Ambariyanto, November Romena, Paul H. Barber, Kent E. Carpenter

Biological Sciences Faculty Publications

The redbelly yellowtail fusilier Caesio cuning has a tropical Indo-West Pacific range that straddles the Coral Triangle, a region of dynamic geological history and the highest marine biodiversity on the planet. Previous genetic studies in the Coral Triangle indicate the presence of multiple limits to connectivity. However, these studies have focused almost exclusively on benthic, reef-dwelling species. Schooling, reef-associated fusiliers (Perciformes: Caesionidae) account for a sizable portion of the annual reef catch in the Coral Triangle, yet to date, there have been no indepth studies on the population structure of fusiliers or other mid-water, reef-associated planktivores across this region. We …

A Bacterial Foraging Optimization Approach For Tuning Type-2 Fuzzy Logic Controller, Mohammad Kiani, Seyed Mohammad Ali Mohammadi, Ali Akbar Gharaveisi

Turkish Journal of Electrical Engineering and Computer Sciences

The type-1 fuzzy sets theory was proposed to handle uncertainty in control systems, but some cases showed some liabilities of type-1 fuzzy sets when faced with unpredictable disturbance and uncertainties. Therefore, type-2 fuzzy sets were introduced and extended while providing more degrees of freedom in designing criteria. The most important specification of type-2 fuzzy sets is the interval between a superior membership function and an inferior membership function, which is called the footprint of uncertainty. This paper presents a bacterial foraging optimization approach for optimizing the parameterized membership function. The above criterion is applied to an automatic voltage regulator system …

A New Multiobjective Fuzzy Shuffled Frog-Leaping Algorithm For Optimal Reconfiguration Of Radial Distribution Systems In The Presence Of Reactive Power Compensators, Hossein Dehghan Dehnavi, Saeid Esmaeili

Turkish Journal of Electrical Engineering and Computer Sciences

This paper presents a new approach for the optimal reconfiguration of radial distribution systems in the presence of reactive power compensators (RPCs). The proposed method is based on the simultaneous reconfiguration and RPC allocation for the mitigation of losses, equalizing the feeder load balancing as well as improving the voltage profile in power distribution networks. In this paper, the compensators are the capacitor bank and distribution static compensator, which is a type of distribution flexible alternating current transmission system device representative of conventional and modern RPCs. In this regard, the optimal states of the distribution system tie switches are determined …

Cancer Risk Analysis By Fuzzy Logic Approach And Performance Status Of The Model, Atinç Yilmaz, Kürşat Ayan

Turkish Journal of Electrical Engineering and Computer Sciences

Cancer is the leading life-threatening disease for people in today's world. Although cancer formation is different for each type of cancer, it has been determined by studies and research that stress also triggers cancer types. Early precaution is very important for people who have not fallen ill yet with a disease like cancer that has a high mortality rate and expensive treatment. With this study, we expound that the possibility of developing such disease may be decreased and people could take measures against it. For the 3 cancer types selected as pilot work by introducing a fuzzy logic model, the …

Dynamic Sequent Calculus For The Logic Of Epistemic Actions And Knowledge, Giuseppe Greco, Alexander Kurz, Alessandra Palmigiano

Engineering Faculty Articles and Research

"Dynamic Logics (DLs) form a large family of nonclassical logics, and perhaps the one enjoying the widest range of applications. Indeed, they are designed to formalize change caused by actions of diverse nature: updates on the memory state of a computer, displacements of moving robots in an environment, measurements in models of quantum physics, belief revisions, knowledge updates, etc. In each of these areas, DL-formulas express properties of the model encoding the present state of affairs, as well as the pre- and post-conditions of a given action. Actions are semantically represented as transformations of one model into another, encoding the …

Using Emotion As Inferred From Prosody In Language Modeling, Shreyas Ashok Karkhedkar

Open Access Theses & Dissertations

Research has focused on using prosody as an alternative source of information for language modeling. However, prosody is a surface phenomenon and to develop deeper models of language production, the underlying mental processes need to be considered. There are several cognitive factors, such as dialog-states and formulation, that have been given attention. However, emotion { as a cognitive factor, has been neglected so far. Speakers' emotional state plays an important role in spoken dialog. Participants seem to infer each others emotional state from multiple cues and react accordingly. In particular, these states manifest themselves moment-by-moment in the speakers voice. This …

Researching Critical Incidents Of Transformation, Paul R. Scheele

Antioch University Dissertations & Theses

This study examined transformation within individuals in a collaborative adult learning context. Using a combination of methods—surveys and critical incident technique (CIT)—the study explored in depth the experiences of 28 subjects from a population of 100 participants in an open-enrollment workshop, the Awakening the Dreamer, Changing the Dream Symposium produced by the Pachamama Alliance. The program employs high-impact training approaches to inform participants about social injustices and environmental practices that threaten the planet, and to encourage them to act on that information. The research focused on critical incidents at or shortly after the workshop that produced significant and meaningful change …

Environmental Education Through The Lens Of Diverse Elementary School Students In The United States: A Phenomenographic Study, Brissa Yazmin Quiroz

Open Access Theses & Dissertations

Global environmental change is occurring, putting our planet under pressure. Children need to understand not only why the environment is important, but also their role as citizens of a globalized society and their necessary contribution to solving global problems. Students carry their own perspectives about the environment and education, and these differing perspectives should be a significant topic for environmental education research. Recent research studies have included the conceptualization of nature and the environment through children's eyes; yet, no studies have examined the concept of environmental education through the eyes of diverse children. Minority voices and experiences are not frequently …

Extracting Fuzzy Measures From Sample Data: Optimization Algorithms And Applications, Xiaojing Wang

Open Access Theses & Dissertations

In Multi-Criteria Decision Making (MCDM), decisions are based on several criteria that are usually conflicting and non-homogenously satisfied. We use non-additive (fuzzy) measures combined with the Choquet integral to solve MCDM problems, for they allow to model and aggregate the levels of satisfaction of the several criteria of the problem at hand by considering the relationship between these criteria. In practice, it is difficult to identify such fuzzy measures. An automated process is then necessary and can be used when sample data is available. Several optimization approaches have been used to extract fuzzy measures from sample data, for example, genetic …

Thoughts About Research On Mathematical Problem- Solving Instruction, Frank K. Lester Jr.

The Mathematics Enthusiast

In this article, the author, who has written extensively about mathematical problem solving over the past 40 years, discusses some of his current thinking about the nature of problem-solving and its relation to other forms of mathematical activity. He also suggests several proficiencies teachers should acquire in order for them to be successful in helping students become better problem solvers and presents a framework for research on problem-solving instruction. He closes the article with a list of principles about problem-solving instruction that have emerged since the early 1970s.

Toward More Composable Software-Security Policies: Tools And Techniques, Daniel Lomsak

USF Tampa Graduate Theses and Dissertations

Complex software-security policies are dicult to specify, understand, and update. The

same is true for complex software in general, but while many tools and techniques exist

for decomposing complex general software into simpler reusable modules (packages, classes,

functions, aspects, etc.), few tools exist for decomposing complex security policies into simpler

reusable modules. The tools that do exist for modularizing policies either encapsulate

entire policies as atomic modules that cannot be decomposed or allow ne-grained policy

modularization but require expertise to use correctly.

This dissertation presents a policy-composition tool called PoliSeer [27, 26] and the

PoCo policy-composition software-security language. PoliSeer is …

Playing In Trelis Weyr: Investigating Collaborative Practices In A Dragons Of Pern Role-Play-Game Forum, Kathleen Marie Alley

USF Tampa Graduate Theses and Dissertations

This descriptive case study examined adolescents' and emerging adults' literate and social practices within the context of a role-play-game (RPG) forum, investigating the ways participants read and collaboratively composed within this space. As a researcher, I was interested in how this space functioned and how the interactions between members impacted their composing processes, with particular attention to the role of online spaces and popular culture in adolescents' motivation to engage in this forum. This study was guided by three research questions: (1) In what ways is Trelis Weyr, an RPG forum, organized as a virtual environment?; (2) In what ways, …

Lexis In Chemical Engineering Discourse: Analyzing Style In Chemical Engineering Research Articles Through A Rhetorical Lens, David Lamar Young

Masters Theses

"This study examines the style of chemical engineering research articles to discover stylistic trends that may be applicable to authors looking to publish their own research. Rhetorical stylistic analysis was used as a research method to allow for thorough analysis of all articles in the sample. Ten research articles from the two prominent chemical engineering journals were chosen using specific criteria to constitute a sample of articles that could most accurately represent the population of chemical engineering research articles. Each article was then analyzed line by line to identify markers of chemical engineering research article style, including the following: ▬Use …

Polarization And Opinion Analysis In An Online Argumentation System For Collaborative Decision Support, Ravi Santosh Arvapally

Doctoral Dissertations

"Argumentation is an important process in a collaborative decision making environment. Argumentation from a large number of stakeholders often produces a large argumentation tree. It is challenging to comprehend such an argumentation tree without intelligent analysis tools. Also, limited decision support is provided for its analysis by the existing argumentation systems. In an argumentation process, stakeholders tend to polarize on their opinions, and form polarization groups. Each group is usually led by a group leader. Polarization groups often overlap and a stakeholder is a member of multiple polarization groups. Identifying polarization groups and quantifying a stakeholder's degree of membership in …

Accuracy And Timeliness In Ml Based Activity Recognition, Robert J. Ross, John D. Kelleher

Conference papers

While recent Machine Learning (ML) based techniques for activity recognition show great promise, there remain a number of questions with respect to the relative merits of these techniques. To provide a better understanding of the relative strengths of contemporary Activity Recognition methods, in this paper we present a comparative analysis of Hidden Markov Model, Bayesian, and Support Vector Machine based human activity recognition models. The study builds on both pre-existing and newly annotated data which includes interleaved activities. Results demonstrate that while Support Vector Machine based techniques perform well for all data sets considered, simple representations of sensor histories regularly …

A Comparative Study Of The Effect Of Sensor Noise On Activity Recognition Models, Robert J. Ross, John D. Kelleher

Conference papers

To provide a better understanding of the relative strengths of Machine Learning based Activity Recognition methods, in this paper we present a comparative analysis of the robustness of three popular methods with respect to sensor noise. Specifically we evaluate the robustness of Naive Bayes classifier, Support Vector Machine, and Random Forest based activity recognition models in three cases which span sensor errors from dead to poorly calibrated sensors. Test data is partially synthesized from a recently annotated activity recognition corpus which includes both interleaved activities and a range of both temporally long and short activities. Results demonstrate that the relative …

Toward Digitizing The Human Experience : A New Resource For Natural Language Processing, Jerry Scott Weltman

LSU Doctoral Dissertations

A long-standing goal of Artificial Intelligence is to program computers that understand natural language. A basic obstacle is that computers lack the common sense that even small children acquire simply by experiencing life, and no one has devised a way to program this experience into a computer. This dissertation presents a methodology and proof-of-concept software system that enables non-experts, with some training, to create simple experiences. For the purposes of this dissertation, an experience is a series of time-ordered comic frames, annotated with the changing intentional and physical states of the characters and objects in each frame. Each frame represents …

Business Intelligence And Analytics: Research Directions, Ee Peng Lim, Hsinchun Chen, Guoqing Chen

Research Collection School Of Computing and Information Systems

Business intelligence and analytics (BIA) is about the development of technologies, systems, practices, and applications to analyze critical business data so as to gain new insights about business and markets. The new insights can be used for improving products and services, achieving better operational efficiency, and fostering customer relationships. In this article, we will categorize BIA research activities into three broad research directions: (a) big data analytics, (b) text analytics, and (c) network analytics. The article aims to review the state-of-the-art techniques and models and to summarize their use in BIA applications. For each research direction, we will also determine …

Front Cover

International Journal of Speleology

No abstract provided.

User Taglines: Alternative Presentations Of Expertise And Interest In Social Media, Hemant Purohit, Alex Dow, Omar Alonso, Lei Duan, Kevin Haas

Kno.e.sis Publications

Web applications are increasingly showing recommended users from social media along with some descriptions, an attempt to show relevancy - why they are being shown. For example, Twitter search for a topical keyword shows expert twitterers on the side for 'whom to follow'. Google+ and Facebook also recommend users to follow or add to friend circle. Popular Internet newspaper- The Huffington Post shows Twitter influencers/ experts on the side of an article for authoritative relevant tweets. The state of the art shows user profile bios as summary for Twitter experts, but it has issues with length constraint imposed by user …

Fuzzy-Excom Software Project Risk Assessment, Luiz Fernando Capretz, Ekananta Manalif, Ali Bou Nassif, Danny Ho

Electrical and Computer Engineering Publications

A software development project can be considered to be risky project due to the uncertainty of the information (customer requirements), the complexity of the process, and the intangible nature of the product. Under these conditions, risk management in software development projects is mandatory, but often it is difficult and expensive to implement.

Expert COCOMO is an efficient approach to software project risk management, which leverages existing knowledge and expertise from previous effort estimation activities to assess the risk in a new software project. However, the original method has a limitation because it cannot effectively deal with imprecise and uncertain inputs …

Full Issue, The Mcnair Team

McNair Scholars Research Journal

No abstract provided.

An Affordance-Based Framework For Human Computation And Human-Computer Collaboration, R. Jordan Crouser, Remco Chang

Computer Science: Faculty Publications

Visual Analytics is “the science of analytical reasoning facilitated by visual interactive interfaces” [70]. The goal of this field is to develop tools and methodologies for approaching problems whose size and complexity render them intractable without the close coupling of both human and machine analysis. Researchers have explored this coupling in many venues: VAST, Vis, InfoVis, CHI, KDD, IUI, and more. While there have been myriad promising examples of human-computer collaboration, there exists no common language for comparing systems or describing the benefits afforded by designing for such collaboration. We argue that this area would benefit significantly from consensus about …

Mood Affective Outcomes From Alternate Learning Strategies: Cognitive Flexibility And Dyslexic Education, Dylan Williams

The Plymouth Student Scientist

It is theorized that persons with dyslexia and associated conditions may be vulnerable to negative wellbeing, alongside academic deficiency, which has been focused on more widely. This study aims to investigate this theory in teenagers, and to draw relationships with teaching methods. Participants were interviewed, and completed the PANAS (Positive and Negative Affect) scale for children, the Matson Evaluation of Social Skills for Youngsters, and the Educational Environment Survey (an assessment of perceptions on education and ability). Participants with dyslexia and associated conditions showed reduced wellbeing compared to controls, and identified distinct experiential differences of education. This study was successful …

Effective Computer Programming Instruction For Pre-University Albanian Students, Robert Mccloud, Ardiana Sula

School of Computer Science & Engineering Faculty Publications

The relationship between pre-university students and technology is frequently overrated. While we receive glowing reports about how young people are knowledgeable about computers, the truth is that their knowledge is typically about computer content and the manipulation of applications. Young students too often treat the actual programming and understanding of computers as a sort of magical mystery.

In this paper we look at a new Albanian initiative to identify and nurture the most talented of our pre-university students. In particular we look at contributions to the goal of making Albanians the most talented programmers in this area of Europe.

The …