Digital Commons Network^™

Epistemic Uncertainty Quantification In Scientific Models, Xiaoxiao Chen

Open Access Dissertations

In the field of uncertainty quantification (UQ), epistemic uncertainty often refers to the kind of uncertainty whose complete probabilistic description is not available, largely due to our lack of knowledge about the uncertainty. Quantification of the impacts of epistemic uncertainty is naturally difficult, because most of the existing stochastic tools rely on the specification of the probability distributions and thus do not readily apply to epistemic uncertainty. And there have been few studies and methods to deal with epistemic uncertainty. A recent work can be found in [J. Jakeman, M. Eldred, D. Xiu, Numerical approach for quantification of epistemic uncertainty, …

Water Current, Volume 46, No. 4, Fall 2014

Water Current Newsletter

Nebraska Water Center Symposium and Water Law Conference

June Water Tour Heads to Republican River Basin

From The Director

Meet the Faculty

WRAP Hears Slate of Good News at September Meeting

Kuzelka Receives Kremer Award

Nance Joins DWFI as Director of Communications

New Staff Join Daugherty Water for Food

Researchers Probe Climate's Impact on Groundwater

Dating Drought in Nebraska's Sandhills

Water Center Advances Programming

Water Quality Related Extension Publications

UNL Report Outlines Impact of Climate Change

News Briefs

Spring Seminars Began in January

Franz Engages Students with New Cosmic-Ray

Chemistry meets Biology in Kazakhstan

Entity Linking On Microblogs With Spatial And Temporal Signals, Yuan Fang, Ming-Wei Chang

Research Collection School Of Computing and Information Systems

Microblogs present an excellent opportunity for monitoring and analyzing world happenings. Given that words are often ambiguous, entity linking becomes a crucial step towards understanding microblogs. In this paper, we re-examine the problem of entity linking on microblogs. We first observe that spatiotemporal (i.e., spatial and temporal) signals play a key role, but they are not utilized in existing approaches. Thus, we propose a novel entity linking framework that incorporates spatiotemporal signals through a weakly supervised process. Using entity annotations1 on real-world data, our experiments show that the spatiotemporal model improves F1 by more than 10 points over existing systems. …

Electrophysiological Response To Omitted Stimulus In Sentence Processing, Hiroko Nakano, Mari-Anne Rosario, Yuriko Oshima-Takane, Lara Pierce, Sophie G. Tate

School of Science Faculty Works

The current study provides evidence that the absence of a syntactically expected item leads to a sustained cognitive processing demand. Event-related potentials were measured at the omission of a syntactically expected object argument in a speech sequence. English monolingual adults listened to paired sentences. The first sentence in the pair established a context. The second sentence provided a response to the first sentence that was either grammatically correct by containing an overt object argument in the form of a pronoun, or was syntactically unacceptable by omitting the expected object pronoun. Event-related potentials measured at the omission of the object argument …

The Update, October 2014, University Of Northern Iowa. College Of Humanities, Arts And Sciences.

Update

Inside this issue:

-- WGS Internship in Guatemala: UNI Student Travels to Guatemala
-- Department News
-- School of Music Events
-- Communication Sciences and Disorders Trip to Managua, Nicaragua
-- UNI Sustainability Certificate: Board of Regents Certification
-- Midwest International Piano Competition
-- PACA Convention: Listening: An Essential Element of Communication
-- Panther Days: Panther Open Houses and UNI Up-Close
-- New Faculty Join the CHAS Team
-- New CHAS Ambassadors
-- New Promotions Assistants
-- Alumni Spotlight: Department of Music: Nicolle Foland
-- Alumni Spotlight: Science Education: Lisa Chizek
-- Graduate Student Symposium: UNI Department of Technology Students …

Canvas: A Fast And Accurate Geometric Sentence Alignment System Using Lexical Cues Within Complex Misalignment Settings, Hussein M. Ghaly

Dissertations, Theses, and Capstone Projects

In this paper, we present a new sentence alignment system (Canvas), which is a Python implementation of a geometric approach to sentence alignment, based on lexical cues. Canvas system is designed mainly to handle parallel texts exhibiting complex misalignment patterns, namely within English-Arabic pairs for United Nations documents. The system relies heavily on pre-indexing words/tokens in the source and target texts, and it creates correspondences between the token indexes. From this point onward, the alignment problem is reduced to a geometric problem of finding the path that runs through the True Correspondence Points (TCPs). The likelihood of a point being …

All At One Point: The New Physics Of Italo Calvino And Jorge Luis Borges, Mark Thomas Rinaldi

Dissertations, Theses, and Capstone Projects

This work of comparative literary criticism focuses on the presence of mathematical and scientific concepts and imagery in the works of Italo Calvino and Jorge Luis Borges, beginning with an historical overview of scientific philosophy and an introduction to the most significant scientific concepts of the last several centuries, before shifting to deep, scientifically-driven analyses of numerous individual fictions, and finally concluding with a meditation on the unexpectedly fictive aspects of science and mathematics. The close readings of these authors' fictions are contextualized with thorough explanations of the potential literary implications of theories from physics, mathematics, neuroscience and chaos theory. …

Systematic Comparison Of Cross-Lingual Projection Techniques For Low-Density Nlp Under Strict Resource Constraints, Joshua Waxman

Dissertations, Theses, and Capstone Projects

The field of low-density NLP is often approached from an engineering perspective, and evaluations are typically haphazard - considering different architectures, given different languages, and different available resources - without a systematic comparison. The resulting architectures are then tested on the unique corpus and language for which this approach has been designed. This makes it difficult to truly evaluate which approach is truly the "best," or which approaches are best for a given language.

In this dissertation, several state-of-the-art architectures and approaches to low-density language Part-Of-Speech Tagging are reimplemented; all of these techniques exploit a relationship between a high-density (HD) …

Assistive Technologies Used By Students With Asperger’S Syndrome To Improve Performance In The General Education Classroom, Sara (Beth) Cardwell Foreman

CCAC Theses and Dissertations

The No Child Left Behind Act requires all students; regardless of poverty level, learning disability, limited English proficiency, or racial/ethnic origins; to be in general education classrooms meeting high standards of proficiency in reading/language arts and mathematics by 2013-14. Meeting high standards of proficiency in a general education classroom is particularly challenging for students diagnosed with pervasive developmental disorders, such as Asperger's syndrome. Limited interests, inflexible language, and social skills deficits without a history of cognitive or language delays before the age of three characterize the disorder. Other symptoms, such as clumsiness, unusual sensory reactions, and talk in unusual ways …

Build Emotion Lexicon From Microblogs By Combining Effects Of Seed Words And Emoticons In A Heterogeneous Graph, Kaisong Song, Shi Feng, Wei Gao, Daling Wang, Ling Chen, Chengqi Zhang

Research Collection School Of Computing and Information Systems

As an indispensable resource for emotion analysis, emotion lexicons have attracted increasing attention in recent years. Most existing methods focus on capturing the single emotional effect of words rather than the emotion distributions which are helpful to model multiple complex emotions in a subjective text. Meanwhile, automatic lexicon building methods are overly dependent on seed words but neglect the effect of emoticons which are natural graphical labels of fine-grained emotion. In this paper, we propose a novel emotion lexicon building framework that leverages both seed words and emoticons simultaneously to capture emotion distributions of candidate words more accurately. Our method …

A Crowdsourcing Approach To Identify Common Method Bias And Self-Representation, Margeret A. Hall, Simon Caton

Interdisciplinary Informatics Faculty Proceedings & Presentations

Pertinent questions on the measurement of social indicators are: the verification of data gained online (e.g., controlling for self-representation on social networks), and appropriate uses in community management and policy-making. Across platforms like Facebook, LinkedIn, Twitter, and blogging services, users (sub)consciously represent themselves in a way which is appropriate for their intended audience (Qui et al., 2012; Zhao et al., 2008). However, scholars in the social sciences and computer science have not yet adequately addressed controlling for self-representation, or the propensity to display or censor oneself, in their analyses (Zhao et al., 2008; Das and Kramer, 2013). As such researchers …

Online Probabilistic Learning For Fuzzy Inference System, Richard Jayadi Oentaryo, Meng Joo Er, San Linn, Xiang Li

Research Collection School Of Computing and Information Systems

Online learning is a key methodology for expert systems to gracefully cope with dynamic environments. In the context of neuro-fuzzy systems, research efforts have been directed toward developing online learning methods that can update both system structure and parameters on the fly. However, the current online learning approaches often rely on heuristic methods that lack a formal statistical basis and exhibit limited scalability in the face of large data stream. In light of these issues, we develop a new Sequential Probabilistic Learning for Adaptive Fuzzy Inference System (SPLAFIS) that synergizes the Bayesian Adaptive Resonance Theory (BART) and Rule-Wise Decoupled Extended …

The Role Of Emotion And Facial Expression In Synthesised Sign Language Avatars, Robert G Smith

Other Resources

This thesis explores the role that underlying emotional facial expressions might have in regards to understandability in sign language avatars. Focusing specifically on Irish Sign Language (ISL), we examine the Deaf community’s requirement for a visual-gestural language as well as some linguistic attributes of ISL which we consider fundamental to this research. Unlike spoken language, visual-gestural languages such as ISL have no standard written representation. Given this, we compare current methods of written representation for signed languages as we consider: which, if any, is the most suitable transcription method for the medical receptionist dialogue corpus. A growing body of work …

A Study Of Age Gaps Between Online Friends, Lizi Liao, Jing Jiang, Ee Peng Lim, Heyan Huang

Research Collection School Of Computing and Information Systems

User attribute extraction on social media has gain considerable attention, while existing methods are mostly supervised which suffer great diffi- culty in insufficient gold standard data. In this paper, we validate a strong hypothesis based on homophily and adapt it to ensure the certainty of user attribute we extracted via weakly supervised propagation. Homophily, the theory which states that people who are similar tend to become friends, has been well studied in the setting of online social networks. When we focus on age attribute, based on this theory, online friends tend to have similar age. In this work, we take …

Automatic Early Defects Detection In Use Case Documents, Shuang Liu, Jun Sun, Yang Liu, Yue Zhang, Bimlesh Wadhwa, Jin Song Dong, Xinyu Wang

Research Collection School Of Computing and Information Systems

Use cases, as the primary techniques in the user requirement analysis, have been widely adopted in the requirement engineering practice. As developed early, use cases also serve as the basis for function requirement development, system design and testing. Errors in the use cases could potentially lead to problems in the system design or implementation. It is thus highly desirable to detect errors in use cases. Automatically analyzing use case documents is challenging primarily because they are written in natural languages. In this work, we aim to achieve automatic defect detection in use case documents by leveraging on advanced parsing techniques. …

Across-Speaker Articulatory Normalization For Speaker-Independent Silent Speech Recognition, Jun Wang, Ashok Samal, Jordan Green

School of Computing: Conference and Workshop Papers

Silent speech interfaces (SSIs), which recognize speech from articulatory information (i.e., without using audio information), have the potential to enable persons with laryngectomy or a neurological disease to produce synthesized speech with a natural sounding voice using their tongue and lips. Current approaches to SSIs have largely relied on speaker-dependent recognition models to minimize the negative effects of talker variation on recognition accuracy. Speaker-independent approaches are needed to reduce the large amount of training data required from each user; only limited articulatory samples are often available for persons with moderate to severe speech impairments, due to the logistic difficulty of …

The Structure Of Child And Adolescent Aggression: Confirmatory Factor Analysis Of A Brief Peer Conflict Scale, Justin Russell

LSU New Orleans Theses and Dissertations

The importance of simultaneous consideration of forms and functions in youth measures of aggressive behavior is well established. Competing models have presented these highly interrelated constructs as either independent (e.g., reactive or overt) or paired factors (e.g., reactive and overt). The current study examines these models in the context of assessing the viability of a new self-report measure, the Peer Conflict Scale – 20 Item Version. Confirmatory factor analyses were conducted on PCS 20 responses from 1,048 school-age youth living in the Gulf Coast region. Both models significantly improved upon one or two-factor alternatives, and demonstrated partial invariance across gender …

An Automatic Dialog System For Student Advising, Brian Mcmahan

Journal of Undergraduate Research at Minnesota State University, Mankato

Automatic dialog systems are an implementation of natural language processing theory with the goal of allowing the use of natural sentences to communicate with a computer system. The general purpose of this project was to design and implement an automatic dialog system for augmenting university student advising. Student advising is a relatively narrow domain of possible questions and responses. The automatic dialog system focused on prescriptive advising rather than developmental advising to further narrow the domain to scheduling and registration matters. A student advisor was interviewed and recorded during a mock advising session in order to model the interaction between …

Compromise Programming Based Scenario Analysis Of Urban Water Systems Management Options: Case Study Of Kerman City, Saeed Nazari, S. Jamshid Mousavi, Koroush Behzadian, Zoran Kapelan

International Conference on Hydroinformatics

Supplying adequate water for urban water systems (UWSs) suffering from lack of water resources has always been a major concern in urban water management. Integrated simulation models are useful tools for sustainable planning and management of UWSs. This paper presents an integrated, conceptual modeling approach for simulation and analysis of an UWS by which different envisaged scenarios of water demand and resources are assessed. Other than water flow, the simulation model quantifies flows of energy, GHG emissions and cost in UWS. The performance of the developed model is demonstrated through its application to the UWS of Kerman City located in …

Setting Priorities On The Functional Status Of Hydraulic Structures In Mountainous Catchments, V. Juliette Cortes, Simone Sterlacchini, Thom Bogaard, Simone Frigerio, Luca Schenato, Alessandro Pasuto

International Conference on Hydroinformatics

The frequent inspection of hydraulic structures in mountain catchments is important due to the changing interaction among water-related processes that take place in the context of hydro-meteorological hazards such as debris flow and flash floods. At first level inspections, reports from survey protocols carried out by trained citizen-volunteers are combined to provide an index that represent the status of the structure. The survey protocols aim at identifying needs for cleaning of obstructions or to pre-screen potential problems for a second level inspection or more technical and detailed inspection. Thus, reports are focused on the functional status for the following parameters: …

Optimal Placement Of Metering Devices For Multiple Purposes, Ramon Perez, Gerard Sanz, Josep Cuguero, Miquel Angel Cuguero

International Conference on Hydroinformatics

Monitoring devices installed in a huge system like a water network imply a high cost. This cost includes installation and maintenance. Thus the placement of these devices must be optimal. The optimal sensor placement is an issue that comes up in many innovation projects in water networks. The use of models even if the final application does not use them may be crucial in such process. Nevertheless the optimality of the placement may depend highly on the final use of these sensors. In general a better placement may imply a more specific use of the information. This work studies the …

Opinion Mining Of Sociopolitical Comments From Social Media, Swapna Gottipati

Dissertations and Theses Collection (Open Access)

Opinions are central to almost all human activities by influencing greatly the decision making process. In this thesis, we present the problems of mining issues, extracting entities and suggestive opinions towards the entities, detecting thoughtful comments, and extracting stances and ideological expressions from online comments in the sociopolitical domain. This study is essential for opinion mining applications that are beneficial for policy makers, government sectors and social organizations. Much work has been done to try to uncover consumer sentiments from online comments to help businesses improve their products and services. However, sociopolitical opinion mining poses new challenges due to complex …

Jointly Modeling Aspects, Ratings And Sentiments For Movie Recommendation (Jmars), Qiming Diao, Minghui Qiu, Chao-Yuan Wu, Alexander J. Smola, Jing Jiang, Chong Wang

Research Collection School Of Computing and Information Systems

Recommendation and review sites offer a wealth of information beyond ratings. For instance, on IMDb users leave reviews, commenting on different aspects of a movie (e.g. actors, plot, visual effects), and expressing their sentiments (positive or negative) on these aspects in their reviews. This suggests that uncovering aspects and sentiments will allow us to gain a better understanding of users, movies, and the process involved in generating ratings. The ability to answer questions such as “Does this user care more about the plot or about the special effects?” or ”What is the quality of the movie in terms of acting?” …

An Adaptive Educational Game To Help Students Learn How To Solve Systems Of Linear Equations, Wang Zhang

Theses and Dissertations

Educational games have been proven to be effective in developing problem solving skills in well-defined domain, such as Math and Physics. In this thesis, an educational game called Matrix was developed to foster problem solving skills in the domain of linear algebra, particularly solving a system of linear equations. Matrix is an adaptive educational game that uses intelligent tutoring modules to guide the student's learning process and provide feedback based on the student's performance. These modules are domain module, student module, pedagogical module and presentation module. The domain module contains all the concepts the student needs to learn and an …

Abstract Disjunctive Answer Set Solvers, Remi Brochenin, Yuliya Lierler, Marco Maratea

Computer Science Faculty Proceedings & Presentations

A fundamental task in answer set programming is to compute answer sets of logic programs. Answer set solvers are the programs that perform this task. The problem of deciding whether a disjunctive program has an answer set isΣ^P₂ -complete. The high complexity of reasoning within disjunctive logic programming is responsible for few solvers capable of dealing with such programs, namely DLV, GNT, CMODELS and CLASP. We show that transition systems introduced by Nieuwenhuis, Oliveras, and Tinelli to model and analyze satisfiability solvers can be adapted for disjunctive answer set solvers. In particular, we present transition systems for CMODELS …

Communicating Affective Meaning From Software To Wetware Through The Medium Of Digital Art, R David Norton

Theses and Dissertations

Computational creativity is a new and developing field of artificial intelligence concerned with computational systems that either autonomously produce original and functional products, or that augment the ability of humans to do so. As the role of computers in our daily lives is continuing to expand, the need for such systems is becoming increasingly important. We introduce and document the development of a new “creative” system, called DARCI (Digital ARtist Communicating Intention), that is designed to autonomously create novel artistic images that convey linguistic concepts to the viewer. Within the scope of this work, the system becomes capable of creating …

Generating Supplementary Travel Guides From Social Media, Liu Yang, Jing Jiang, Lifu Huang, Minghui Qiu, Lizi Liao

Research Collection School Of Computing and Information Systems

In this paper we study how to summarize travel-related information in forum threads to generate supplementary travel guides. Such summaries presumably can provide additional and more up-to-date information to tourists. Existing multi-document summarization methods have limitations for this task because (1) they do not generate structured summaries but travel guides usually follow a certain template, and (2) they do not put emphasis on named entities but travel guides often recommend points of interest to travelers. To overcome these limitations, we propose to use a latent variable model to align forum threads with the section structure of well-written travel guides. The …

Utilizing Microblogs For Improving Automatic News High-Lights Extraction, Zhongyu Wei, Wei Gao

Research Collection School Of Computing and Information Systems

Story highlights form a succinct single-document summary consisting of 3-4 highlight sentences that reflect the gist of a news article. Automatically producing news highlights is very challenging. We propose a novel method to improve news highlights extraction by using microblogs. The hypothesis is that microblog posts, although noisy, are not only indicative of important pieces of information in the news story, but also inherently “short and sweet” resulting from the artificial compression effect due to the length limit. Given a news article, we formulate the problem as two rank-then-extract tasks: (1) we find a set of indicative tweets and use …

Social Tipping Points And Earth Systems Dynamics, R.A. Bentley, E. Maddison, P. Ranner, J. Bissell, C. Caiado, P. Bhatanacharoen, Timothy Adrian Robert Clark, Botha M., Akinbami F., Hollow M., Michie R., Huntley B., Curtis S., Garnett P.

Research Collection Lee Kong Chian School Of Business

Recently, Early Warning Signals (EWS) have been developed to predict tipping points in Earth Systems. This discussion highlights the potential to apply EWS to human social and economic systems, which may also undergo similar critical transitions. Social tipping points are particularly difficult to predict, however, and the current formulation of EWS, based on a physical system analogy, may be insufficient. As an alternative set of EWS for social systems, we join with other authors encouraging a focus on heterogeneity, connectivity through social networks and individual thresholds to change.

Multisensory Emotion Recognition With Speech And Facial Expression, Jacob P. Roeland

Honors Theses

Computers through both desktop and mobile devices are only becoming more important in our lives leading us to have more involved and longer interactions with them. Because of this our brains actually classify our involvement with them in a manner similar to our interactions with our fellow humans. This can lead to frustration and anxiety when our computers interrupt our work or pleasure with contextually inappropriate messages, much the same way it would if a friend or co-worker was pushy or rude. A way to solve this issue is to give our machines emotional intelligence, or the ability to recognize …