Digital Commons Network^™

When Should We Switch From Interval-Valued Fuzzy To Full Type-2 Fuzzy (E.G., Gaussian)?, Vladik Kreinovich, Chrysostomos D. Stylios

Departmental Technical Reports (CS)

Full type-2 fuzzy techniques provide a more adequate representation of expert knowledge. However, such techniques also require additional computational efforts, so we should only use them if we expect a reasonable improvement in the result of the corresponding data processing. It is therefore important to come up with a practically useful criterion for deciding when we should stay with interval-valued fuzzy and when we should use full type-2 fuzzy techniques. Such a criterion is proposed in this paper. We also analyze how many experts we need to ask to come up with a reasonable description of expert uncertainty.

Why Fuzzy Cognitive Maps Are Efficient, Vladik Kreinovich, Chrysostomos Stylios

Departmental Technical Reports (CS)

In many practical situations, the relation between the experts' degrees of confidence in different related statements is well described by Fuzzy Cognitive Maps (FCM). This empirical success is somewhat puzzling, since from the mathematical viewpoint, each FCM relation corresponds to a simplified one-neuron neural network, and it is well known that to adequately describe relations, we need multiple neurons. In this paper, we show that the empirical success of FCM can be explained if we take into account that human's subjective opinions follow Miller's seven plus minus two law.

Students’ Language Repertoires For Prediction, David Wagner, Joseph Dicks, Paula Kristmanson

The Mathematics Enthusiast

Communication about prediction is complex in a number of ways. First, language is by nature recursive — language is an indicator of meaning as well as a force that shapes meaning. Second, the same language used to communicate prediction in uncertain environments is used for other purposes. In this article, we describe how the recursive nature of language impacted the choices we made in a cross-sectional longitudinal study aimed at gaining insight into children’s language repertoires relating to conjecture. We then explore some Grade 6 students’ communication about prediction to develop insight into their meaning and meaning-making with prediction language. …

Trust Management: Multimodal Data Perspective, Krishnaprasad Thirunarayan

Kno.e.sis Publications

No abstract provided.

A Cultural Diffusion Model For The Rise And Fall Of Programming Languages, Sergi Valverde, Ricard V. Solé

Human Biology Open Access Pre-Prints

Our interaction with complex computing machines is mediated by programming languages (PLs) which constitute one of the major innovations in the evolution of technology. PLs allowed a flexible, scalable and fast use of hardware and are largely responsible for shaping the history of information technology since the rise of computers in the 1950s. The rapid growth and impact of computers was followed closely by the development of programming languages. As it occurs with natural, human languages, they emerged and got extinct. There has been always a diversity of coexisting PLs that somewhat compete among them, while occupying special niches. Here …

A Dialectical Invariant For Research In Mathematics Education, Mauro García Pupo, Juan E. Nápoles Valdes

The Mathematics Enthusiast

Many current problems in research in mathematics education emerge from pairs of contradictory dialectical categories. In effect, these pairs characterize the problems. When an epistemological study is made to determine the object of research in which a problem is immersed, it is possible to find essential pairs of dialectical categories that become more profound and thus provide enough elements for the determination of appropriate didactic actions to solve the problem under research.

Changes On Cran, Kurt Hornik, Achim Zeileis

The R Journal

New packages in CRAN task views

New contributed packages

Other changes

Information Filtering By Multiple Examples, Mingzhu Zhu

Dissertations

A key to successfully satisfy an information need lies in how users express it using keywords as queries. However, for many users, expressing their information needs using keywords is difficult, especially when the information need is complex. Search By Multiple Examples (SBME), a promising method for overcoming this problem, allows users to specify their information needs as a set of relevant documents rather than as a set of keywords.

Most of the studies on SBME adopt the Positive Unlabeled learning (PU learning) techniques by treating the user's provided examples (denoted as query examples) as positive set and the entire data …

Malware Detection Using Dynamic Analysis, Swapna Vemparala

Master's Projects

In this research, we explore the field of dynamic analysis which has shown promis- ing results in the field of malware detection. Here, we extract dynamic software birth- marks during malware execution and apply machine learning based detection tech- niques to the resulting feature set. Specifically, we consider Hidden Markov Models and Profile Hidden Markov Models. To determine the effectiveness of this dynamic analysis approach, we compare our detection results to the results obtained by using static analysis. We show that in some cases, significantly stronger results can be obtained using our dynamic approach.

Identifying Common Characteristics Of Malicious Insiders, Nan Liang, David Biros

Annual ADFSL Conference on Digital Forensics, Security and Law

Malicious insiders account for large proportion of security breaches or other kinds of loss for organizations and have drawn attention of both academics and practitioners. Although methods and mechanism have been developed to monitor potential insider via electronic data monitoring, few studies focus on predicting potential malicious insiders. Based on the theory of planned behavior, certain cues should be observed or expressed when an individual performs as a malicious insider. Using text mining to analyze various media content of existing insider cases, we strive to develop a method to identify crucial and common indicators that an individual might be a …

An Open Source Advertisement Server, Pushkar Umaranikar

Master's Projects

This report describes a new online advertisement system and its implementation for the Yioop open source search engine. This system was implemented for my CS298 project. It supports both selling advertisements and displaying them within search results. The selling of advertisement is done using a novel auction system, which we describe in this paper. With this auction system, it is possible to create an advertisement, attach keywords to it, and add it to the advertisement inventory. An advertisement is displayed on a search results page if the search keyword matches the keywords attached to the advertisement. Display of advertisements is …

Cultural Entropy: A Grounded Theory Study Of Early Childhood Experiences In Nature In The Arroyo Grande Creek Watershed, Nathaniel Miles Millard

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

Through support from a Quinney Fellowship and the Institute of Outdoor Recreation and Tourism in the Department of Environment and Society at Utah State University, the theory of cultural entropy emerged as an explanation for changing behavior across generations of people living in the Arroyo Grande Creek watershed. Through a trounded theory methodology data collection around early childhood experiences with nature leading towards positive civic engagement with the community, the theory of cultural entropy emerged along with a policy recommendation for reconnecting the community to the local watershed.

Lifelong residents participating in the research were found to have high levels …

Active Semi-Supervised Defect Categorization, Ferdian Thung, Xuan-Bach D. Le, David Lo

Research Collection School Of Computing and Information Systems

Defects are inseparable part of software development and evolution. To better comprehend problems affecting a software system, developers often store historical defects and these defects can be categorized into families. IBM proposes Orthogonal Defect Categorization (ODC) which include various classifications of defects based on a number of orthogonal dimensions (e.g., symptoms and semantics of defects, root causes of defects, etc.). To help developers categorize defects, several approaches that employ machine learning have been proposed in the literature. Unfortunately, these approaches often require developers to manually label a large number of defect examples. In practice, manually labelling a large number of …

Advances In Knowledge Discovery And Data Mining Part Ii, Tru Cao, Ee Peng Lim, Zhi-Hua Zhou, Tu-Bao Ho, David Wai-Lok Cheung, Hiroshi Motoda

Research Collection School Of Computing and Information Systems

No abstract provided.

Flutcha: Using Fluency To Distinguish Humans From Computers, Kotaro Hara, Mohammad Taghi Hajiaghayi, Benjamin B. Benderson

Research Collection School Of Computing and Information Systems

Improvements in image understanding technologies aremaking it possible for computers to pass traditionalCAPTCHA tests with high probability. This suggests theneed for new kinds of tasks that are easy to accomplishfor humans but remain difficult for computers. In thispaper, we introduce Fluency CAPTCHA (FluTCHA), anovel method to distinguish humans from computersusing the fact that humans are better than machines atimproving the fluency of sentences. We propose a wayto let users work on FluTCHA tests and simultaneouslycomplete useful linguistic tasks. Evaluation studiesdemonstrate the feasibility of using FluTCHA todistinguish humans from computers.

Tasknav: Task-Based Navigation Of Software Documentation, Christoph Treude, Mathieu Sicard, Marc Klocke, Martin P. Robillard

Research Collection School Of Computing and Information Systems

To help developers navigate documentation, we introduce Task Nav, a tool that automatically discovers and indexes task descriptions in software documentation. With Task Nav, we conceptualize tasks as specific programming actions that have been described in the documentation. Task Nav presents these extracted task descriptions along with concepts, code elements, and section headers in an auto-complete search interface. Our preliminary evaluation indicates that search results identified through extracted task descriptions are more helpful to developers than those found through other means, and that they help bridge the gap between documentation structure and the information needs of software developers. Video: https://www.youtube.com/watch?v=opnGYmMGnqY.

Investigating Students' Use Of Multiple Representations Of The Arrow-Pushing Formalism, Yu Shen

All Theses

Over decades, research in STEM education has been conducted to investigate how students translate from one representation to another. Based on dual coding theory, multiple external representations (MERs) can be effective when the verbal/linguistic representations are provided along with the corresponded diagrammatic/pictorial representations. However, little is known about the difficulties that undergraduate students encounter when translating between the verbal and diagrammatic representations in the context of the arrow-pushing formalism used in organic reaction descriptions. Chemists use the arrow-pushing formalism to represent the electron flow in organic mechanistic processes. Yet, far less is known about the meaning that undergraduate students attribute …

Micro-Policies: Formally Verified, Tag-Based Security Monitors, Arthur Azevedo De Amorim, Maxime Denes, Nick Giannarakis, Cătălin Hriţcu, Benjamin C. Pierce, Antal Spector-Zabusky, Andrew Tolmach

Computer Science Faculty Publications and Presentations

Recent advances in hardware design have demonstrated mechanisms allowing a wide range of low-level security policies (or micro-policies) to be expressed using rules on metadata tags. We propose a methodology for defining and reasoning about such tag-based reference monitors in terms of a high-level “symbolic machine,” and we use this methodology to define and formally verify micro-policies for dynamic sealing, compartmentalization, control-flow integrity, and memory safety; in addition, we show how to use the tagging mechanism to protect its own integrity. For each micro-policy, we prove by refinement that the symbolic machine instantiated with the policy’s rules embodies a high-level …

Characterizing Silent Users In Social Media Communities, Wei Gong, Ee-Peng Lim, Feida Zhu

Research Collection School Of Computing and Information Systems

Silent users often constitute a significant proportion of an online user-generated content system. In the context of social media such as Twitter, users can opt to be silent all or most of the time. They are often called the invisible participants or lurkers. As lurkers contribute little to the online content, existing analysis often overlooks their presence and voices. However, we argue that understanding lurkers is important in many applications such as recommender systems, targeted advertising, and social sensing. This research therefore seeks to characterize lurkers in social media and propose methods to profile them. We examine 18 weeks of …

A Multi-Level Analysis Of Collaborations In Computer Science, Pramod Divakarmurthy

Theses and Dissertations

Working in collaboration is common in today’s highly connected scientific community. By collaborating, researchers can solve challenging multi-disciplinary problems, increase knowledge dissemination as well as productivity. These and other advantages motivate the study of the collaboration patterns of researchers. Such patterns can be observed directly in networks of manuscript co-authorship. In such a network, nodes represent authors and the links between them indicate that they have co-authored a paper. Several researchers constructed and studied large-scale networks representing collaborations in Mathematics, Biology, Physics, and Neuroscience. Most studies have performed bibliometric analysis of scientific publications, evaluated and ranked scholars on their research …

Rclinker: Automated Linking Of Issue Reports And Commits Leveraging Rich Contextual Information, Tien-Duy B. Le, Mario Linares Vasquez, David Lo, Denys Poshyvanyk

Research Collection School Of Computing and Information Systems

Links between issue reports and their corresponding commits in version control systems are often missing. However, these links are important for measuring the quality of a software system, predicting defects, and many other tasks. Several approaches have been designed to solve this problem by automatically linking bug reports to source code commits via comparison of textual information in commit messages and bug reports. Yet, the effectiveness of these techniques is oftentimes suboptimal when commit messages are empty or contain minimum information; this particular problem makes the process of recovering traceability links between commits and bug reports particularly challenging. In this …

Developing A Bilingual, Computer-Tailored, Hpv Vaccination Promotion Intervention Targeting Latino Parents, Angela Chia-Chen Chen, Ashish Amresh

Publications

In this paper we present an innovative, computer-tailored application aimed at increasing Latino parents' intention to vaccinate their adolescent children against Human Papilloma Virus (HPV). HPV infection is the most common sexually transmitted infection in the United States. Latinas have the highest age-adjusted incidence rate for HPV-associated cervical cancer compared with their counterparts in other racial/ethnic groups. HPV vaccines offer hope against HPV-associated diseases. Because parental consent is required for children under age 18 to receive t h e HPV vaccination in most U. S. states, parents' attitudes and intention to have their children vaccinated are keys for promoting HPV …

Characteristics Of Stem Success: A Survival Analysis Model Of Factors Influencing Time To Graduation Among Undergraduate Stem Majors, Riley K. Acton

Business and Economics Honors Papers

Producing more graduates in Science, Technology, Engineering, and Mathematics (STEM), as well as ensuring students complete college in a timely manner are both areas of national public policy interest. In order to improve these two outcomes, it is imperative to understand what factors lead undergraduate students to persist in, and ultimately graduate with STEM degrees. This paper uses data from the Beginning Postsecondary Students Longitudinal Study, provided by The National Center of Education Statistics, to model the time to baccalaureate degree among STEM majors using a Cox proportional hazard model.

2015 - The Twentieth Annual Symposium Of Student Scholars

Symposium of Student Scholars Program Books

The full program book from the Twentieth Annual Symposium of Student Scholars, held on April 16, 2015. Includes abstracts from the presentations and posters.

The Compass, Issue 2, Arcadia University Honors Program

The Compass

Issue 2 of The Compass, a scholarly journal edited and produced by students in the Arcadia University Honors Program.

Handling Human Hacking: Creating A Comprehensive Defensive Strategy Against Modern Social Engineering, Charles Snyder

Senior Honors Theses

Social engineering is one of the most devastating threats to any company or business. Rather than relying upon technical flaws in order to break into computer networks, social engineers utilize a suave personality in order to deceive individuals through clever conversation. These devious conversations frequently provide the attacker with sufficient information to compromise the company’s computer network. Unlike common technical attacks, social engineering attacks cannot be prevented by security tools and software. Instead of attacking a network directly, a social engineer exploits human psychology in order to coerce the victim to inadvertently divulge sensitive information. Further complicating the issue, the …

Differences In Cognitive Processing Between Deaf And Hearing Individuals When Presented With Linguistic Stimuli, Aubrey Hatch, Michael Jones

Journal of Undergraduate Research

My project was designed to increase our understanding of the neurological processes of deaf individuals to shape future adaptive technologies to facilitate better education for the deaf community. More specifically, my goal was to focus on the cognitive differences between deaf and hearing individuals when presented with different types of linguistic stimuli such as: a spoken word, a written word, a signed video of a word, or a picture that represents a specific word. By increasing our understanding of these cognitive differences, I hoped to help increase the capabilities of future adaptive technological devices that would be beneficial for those …

Does Being Bilingual Make You Better At Math?, Enxhi Elezi

Honors Projects in Mathematics

The purpose of this study is to examine if there is any relationship between being bilingual, defined as speaking your native language at home and another language in school, and your mathematical ability. Data from the National Longitudinal Study of Adolescent Health was used to compare the math grades of students who were not born in the US and speak English, Spanish, or Other at home. Also, data from the Bryant University first year students was used to test if students who speak a different language at home have a higher mathematical average than their monolingual peers. Results show that …

Mathematical Modeling Of Trending Topics On Twitter, Jonathan S. Skaza

Honors Projects in Mathematics

Created in 2006, Twitter is an online social networking service in which users share and read 140-character messages called Tweets. The site has approximately 288 million monthly active users who produce about 500 million Tweets per day. This study applies dynamical and statistical modeling strategies to quantify the spread of information on Twitter. Parameter estimates for the rates of infection and recovery are obtained using Bayesian Markov Chain Monte Carlo (MCMC) methods. The methodological strategy employed is an extension of techniques traditionally used in an epidemiological and biomedical context (particularly in the spread of infectious disease). This study, which addresses …

A Corpus For Investigating English-Language Learners' Dialog Behaviors, Nigel Ward, Paola Gallardo

Departmental Technical Reports (CS)

We are interested in developing methods for the semi-automatic discovery of prosodic patterns in dialog and how they differ between languages and among populations. We are starting by examining how the prosody of Spanish-native learners of English differs from that of native speakers. To support this work, we have collected a new corpus of conversations among college students. This includes dialogs between a nonnative speaker of English and a native, dialogs between native speakers of English, and Spanish conversations.