Digital Commons Network^™

The Creation Of Tools And Models To Characterize And Quantify User-Centered Design Considerations In Product And System Developm, Katherine Meza

Electronic Theses and Dissertations

Ease of use differentiates products in a highly competitive market place. It also brings an added value that culminates in a higher degree of customer satisfaction, repeated business, increased sales, and higher revenue. User-centered design is a strategic asset that companies can use to improve their customer relationships by learning more about their customers, and increase their sales. In today's economy, the measurement of intangible assets such as user experience has become a major need for industries because of the relationship between user-centered design and organizational benefits such as customer loyalty. As companies realize that the inclusion of user-centered design …

Analogical Reasoning In The Engineering Design Process And Technology Education Applications, Jenny Daugherty, Nathan Mentzer

Publications

This synthesis paper discusses the research exploring analogical reasoning, the role of analogies in the engineering design process, and educational applications for analogical reasoning. Researchers have discovered that analogical reasoning is often a fundamental cognitive tool in design problem solving. Regarding the possible role of analogical reasoning in the context of technology education; analogies may be a useful tool to develop student’s design skills, teach abstract or complex concepts, and build students’ analogical reasoning skills for general problem solving. The positive and negative educational implications of analogical reasoning being explored by researchers are also discussed.

Road Surface Condition Detection And Identification And Vehicle Anti-Skid Control, Maosheng Ye

ETD Archive

Road surface condition is greatly dependent on the surface's friction coefficient. The abrupt change of the coefficient results in variation of wheel slip which likely leads to vehicle instability. Vehicle steering model and the dynamic equations for four-wheel drive vehicle is developed. A new observer, called Extended State Observer (ESO) is used to estimate the longitudinal velocity, lateral velocity and yaw rate, and more importantly an additional quantity known as system dynamics. A trained neural network was employed to help determine the friction coefficient. Fuzzy logic was employed to quickly detect the change of road surface condition and further classify …

Nitrogen In The Environment: Chapter 22. New Policy Directions, A.P. Manale

United States Environmental Protection Agency: Publications

Advances in linking the science of ecology with economics and the development of agri-environmental modeling systems coupled with new information technology suggest new public policy approaches that reward agricultural producers for providing ecological services. An incentive-based ecosystem approach that identifies and quantifies an array of environmental services that can be provided by agricultural land, and then facilitates the development of markets in these services can protect environmental quality while improving farm income. Sustainability can be achieved whereby economic needs of society are integrated into environmental protection. Before presenting new agricultural policy approaches for improving environmental quality and, in particular, managing …

Complexity And Uncertainty: Rethinking The Modelling Activity, M. Brugnach, C. Pahl-Wostl, K. E. Lindenschmidt, J. A.E.B. Janssen, T. Filatova, A. Mouton, G. Holtz, P. Van Der Keur, N. N. Gaber

United States Environmental Protection Agency: Publications

Complexity and uncertainty have become critical considerations for environmental modelling applications, opening ne\v avenues for the use and development of models. Increasingly l110dels are being recognized as essential tools to learn, coml11unicate, explore and resolve the particulars of complex environmental problems (Sterman, 2002; Van den Belt, 2(04). However, this shift in the way in which models have been used has not always been accompanied by a concomitant shift in the way in which models have been conceived and implemented. Too often, models were conceived and built as predictive devices, aimed at capturing single, best, objective explanations. Considerations of uncertainty were …

Improving Business Performance Through The Integration Of Human Factors Engineering Into Organizations Using A Systems Engineeri, Monica Philippart

Electronic Theses and Dissertations

Most organizations today understand the valuable contribution employees as people (rather than simply bodies) provide to their overall performance. Although efforts are made to make the most of the human in organizations, there is still much room for improvement. Focus in the reduction of employee injuries such as cumulative trauma disorders rose in the 80 s. Attempts at increasing performance by addressing employee satisfaction through various methods have also been ongoing for several years now. Knowledge Management is one of the most recent attempts at controlling and making the best use of employees knowledge. All of these efforts and more …

A Reinforcement Learning Technique For Enhancing Human Behavior Models In A Context-Based Architecture, David Aihe

Electronic Theses and Dissertations

A reinforcement-learning technique for enhancing human behavior models in a context-based learning architecture is presented. Prior to the introduction of this technique, human models built and developed in a Context-Based reasoning framework lacked learning capabilities. As such, their performance and quality of behavior was always limited by what the subject matter expert whose knowledge is modeled was able to articulate or demonstrate. Results from experiments performed show that subject matter experts are prone to making errors and at times they lack information on situations that are inherently necessary for the human models to behave appropriately and optimally in those situations. …

A Review Of Negation In Clinical Texts, John D. Kelleher, Brian Mac Namee

Reports

Negation is commonly seen in clinical documents [Chapman et al., 2001a] ”In clinical reports the presence of a term does not necessarily indicate the presence of the clinical condition represented by that term. In fact, many of the most frequently described findings and diseases in discharge summaries, radiology reports, history and physical exams, and other transcribed reports are denied in the patient” [Chapman et al., 2001b, page. 301].

New Classes Of Codes For Cryptologists And Computer Scientists, Florentin Smarandache, W.B. Vasantha Kandasamy

Branch Mathematics and Statistics Faculty and Staff Publications

Historically a code refers to a cryptosystem that deals with linguistic units: words, phrases etc. We do not discuss such codes in this book. Here codes are message carriers or information storages or information transmitters which in time of need should not be decoded or read by an enemy or an intruder. When we use very abstract mathematics in using a specific code, it is difficult for non-mathematicians to make use of it. At the same time, one cannot compromise with the capacity of the codes. So the authors in this book have introduced several classes of codes which are …

Information Retrieval Performance Enhancement Using The Average Standard Estimator And The Multi-Criteria Decision Weighted Set, Tareq Ahram

Electronic Theses and Dissertations

Information retrieval is much more challenging than traditional small document collection retrieval. The main difference is the importance of correlations between related concepts in complex data structures. These structures have been studied by several information retrieval systems. This research began by performing a comprehensive review and comparison of several techniques of matrix dimensionality estimation and their respective effects on enhancing retrieval performance using singular value decomposition and latent semantic analysis. Two novel techniques have been introduced in this research to enhance intrinsic dimensionality estimation, the Multi-criteria Decision Weighted model to estimate matrix intrinsic dimensionality for large document collections and the …

A Comprehensive Multi-Faceted Approach For Simultaneously Analyzing Organizational Performance Measures Essential For Company Su, Ana Ferreras

Electronic Theses and Dissertations

Profit, ergonomics, safety, employee morale, quality, efficiency, and productivity are critical components that greatly impact company success within manufacturing organizations. Therefore, it is essential that a valid and reliable systematic approach that encompasses all of these factors be developed for use by top management in today's rapidly changing manufacturing environment. Organizational-level decisions made based upon a single goal or narrow perspective that only considers one of the aforementioned components, such as profit, while ignoring others, such as employee morale, have proven harmful to the long term viability and success of manufacturing companies. Often organizational leaders are not adequately equipped to …

The Knowledge Side Of The Web, Max Kudrenko

Dissertations

The World Wide Web has become a household name long before its official sixteenth birthday last August (2007), not lastly because of its Knowledge potential encompassed in its vast Knowledge resources and its suitability for Knowledge activities. Out of the three main types of Web usage, which are Procedural, Leisure and Knowledge, this work will concentrate on the Knowledge one and try to analyse the rationale behind its growing popularity among both producers and consumers of Web content. The extensive Knowledge usage of the Web both demands and offers a specific type of Knowledge, Web Knowledge, which will be assessed …

Steganography: Forensic, Security, And Legal Issues, Merrill Warkentin, Ernst Bekkering, Mark B. Schmidt

Journal of Digital Forensics, Security and Law

Steganography has long been regarded as a tool used for illicit and destructive purposes such as crime and warfare. Currently, digital tools are widely available to ordinary computer users also. Steganography software allows both illicit and legitimate users to hide messages so that they will not be detected in transit. This article provides a brief history of steganography, discusses the current status in the computer age, and relates this to forensic, security, and legal issues. The paper concludes with recommendations for digital forensics investigators, IT staff, individual users, and other stakeholders.

Rule-Based Mamdani-Type Fuzzy Modeling Of Skin Permeability, Deepak R. Keshwani, David D. Jones, George E. Meyer, Rhonda M. Brand

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Two Mamdani type fuzzy models (three inputs–one output and two inputs–one output) were developed to predict the permeability of compounds through human skin. The models were derived from multiple data sources including laboratory data, published data bases, published statistical models, and expert opinion. The inputs to the model include information about the compound (molecular weight and octonal–H₂O partition coefficient) and the application temperature. One model included all three parameters as inputs and the other model only included information about the compound. The values for mole molecular weight ranged from 30 to 600 Da. The values for the log …

Back To The Future:Knowledge Light Case Base Cookery, Qian Zhang, Rong Hu, Brian Mac Namee, Sarah Jane Delany

Conference papers

The domain of cookery has been of interest for Case-Based Reasoning (CBR) research for many years since the CHEF case-based planning system in the mid 1980s. This paper returns to look at this domain, emphasising a knowledge-light approach. Our approach focuses on; the design of a structured case representation which encapsulates the details of a recipe, on leveraging WordNet for identifying food items and the relationships between them, and on using Active Learning to assist in labelling recipes with meal and cuisine types. Users can search for recipes by specifying the ingredients they wish to include in, or exclude from, …

Referring Expression Generation Challenge 2008 Dit System Description, John D. Kelleher, Brian Mac Namee

Conference papers

This section describes the two systems developed at DIT for the attribute selection track of the REG 2008 challenge. Both of theses systems use an incremental greedy search to generate descriptions, similar to the incremental algorithm described in (Dale and Reiter, 1995). The output of these incremental algorithms are, to a large extent, determined by the order in which the algorithm tests the target object’s attributes for inclusion in the description. Indeed, the major difference between the two systems described in this section is the mechanism used to order the attributes for inclusion.

Object Detection And Classification With Applications To Skin Cancer Screening, Jonathan Blackledge, Dmitryi Dubovitskiy

Articles

This paper discusses a new approach to the processes of object detection, recognition and classification in a digital image. The classification method is based on the application of a set of features which include fractal parameters such as the Lacunarity and Fractal Dimension. Thus, the approach used, incorporates the characterisation of an object in terms of its texture.

The principal issues associated with object recognition are presented which includes two novel fast segmentation algorithms for which C++ code is provided. The self-learning procedure for designing a decision making engine using fuzzy logic and membership function theory is also presented and …

Linguatag: An Emotional Speech Analysis Application, Charlie Cullen, Brian Vaughan, Spyros Kousidis

Conference papers

The analysis of speech, particularly for emotional content, is an open area of current research. Ongoing work has developed an emotional speech corpus for analysis, and defined a vowel stress method by which this analysis may be performed. This paper documents the development of LinguaTag, an open source speech analysis software application which implements this vowel stress emotional speech analysis method developed as part of research into the acoustic and linguistic correlates of emotional speech. The analysis output is contained within a file format combining SMIL and SSML markup tags, to facilitate search and retrieval methods within an emotional speech …

C-Saw---Contextual Semantic Alignment Of Ontologies: Using Negative Semantic Reinforcement, Brendan Tierney, Mike Jackson

Conference papers

Understanding the meaning of each term in an ontology is essential for successfully integrating and aligning ontologies. Much ontology integration research to date is focused on syntactic, structural and semantic matching where the actual meaning of the concepts is disregarded. The C-SAW approach to ontology alignment is based on the Contextualizing the concepts by using a set of Semantic Alignment Words (C-SAW). The C-SAW approach is enhanced by Negative Semantic Reinforcement (NSR), where additional semantic meaning can be added to the set of Semantic Alignment Words, by considering words which are unrelated to the concept.

Linear Prediction: The Problem, Its Solution And Application To Speech, Alan O'Cinneide, David Dorran, Mikel Gainza

Conference papers

Linear prediction is a signal processing technique that is used extensively in the analysis of speech signals and, as it is so heavily referred to in speech processing literature, a certain level of familiarity with the topic is typically required by all speech processing engineers. This paper aims to provide a well-rounded introduction to linear prediction, and so doing, facilitate the understanding of the technique. Linear prediction and its mathematical derivation will be described, with a specific focus on applying the technique to speech signals. It is noted, however, that although progress in linear prediction has been driven primarily by …

Overview Of Biocreative Ii Gene Mention Recognition, Larry Smith, Lorraine K. Tanabe, Rie Johnson Nee Ando, Cheng-Ju Kuo, I-Fang Chung, Chun-Nan Hsu, Yu-Shi Lin, Roman Klinger, Christoph M. Friedrich, Kuzman Ganchev, Manabu Torii, Hongfang Liu, Barry Haddow, Craig A. Struble, Richard J. Povinelli, Andreas Vlachos, William A. Baumgartner, Lawrence Hunter, Bob Carpenter, Richard Tzong-Han Tsai, Hong-Jie Dai, Feng Liu, Yifei Chen, Chengjie Sun, Sophia Katrenko, Pieter Adriaans, Christian Blaschke, Rafael Torres, Mariana Neves, Preslav Nakov, Anna Divoli, Manuel Maña-López, Jacinto Mata, W John Wilbur

Electrical and Computer Engineering Faculty Research and Publications

Nineteen teams presented results for the Gene Mention Task at the BioCreative II Workshop. In this task participants designed systems to identify substrings in sentences corresponding to gene name mentions. A variety of different methods were used and the results varied with a highest achieved F₁ score of 0.8721. Here we present brief descriptions of all the methods used and a statistical analysis of the results. We also demonstrate that, by combining the results from all submissions, an F score of 0.9066 is feasible, and furthermore that the best result makes use of the lowest scoring submissions.

A Study Of Regret And Rejoicing And A New Mcdm Method Based On Them, Xiaoting Wang

LSU Doctoral Dissertations

Multi-criteria decision-making (MCDM) is one of the most widely used decision methodologies in the sciences, business, and engineering worlds. MCDM methods aim at improving the quality of decisions by making the process more explicit, rational, and efficient. One controversial problem is that some well-known MCDM methods, like the additive AHP methods and the ELECTRE II and III methods, may cause some types of rank reversal problems. Rank reversal means that the ranking between two alternatives might be reversed after some variation occurs to the decision problem, like adding a new alternative, dropping an old alternative or replacing a non-optimal alternative …

Dolce Ergo Sumo: On Foundational And Domain Models In Swinto (Smart Web Integrated Ontology), Daniel Oberle, Anupriya Ankolekar, Pascal Hitzler, Philipp Cimiano, Michael Sintek, Malte Kiesel, Babak Mougouie, Stephan Baumann, Shankar Vembu, Massimo Romanelli, Paul Buitelaar, Ralf Engel, Daniel Sonntag, Norbert Reithinger, Berenike Loos, Hans-Peter Zorn, Vanessa Micelli, Robert Porzel, Christian Schmidt, Moritz Weiten, Felix Burkhardt, Jianshen Zhou

Computer Science and Engineering Faculty Publications

Increased availability of mobile computing, such as personal digital assistants (PDAs), creates the potential for constant and intelligent access to up-to-date, integrated and detailed information from the Web, regardless of one's actual geographical position. Intelligent question-answering requires the representation of knowledge from various domains, such as the navigational and discourse context of the user, potential user questions, the information provided by Web services and so on, for example in the form of ontologies. Within the context of the SmartWeb project, we have developed a number of domain-specific ontologies that are relevant for mobile and intelligent user interfaces to open-domain question-answering …

Random Fuzzy Sets, Hung T. Nguyen, Vladik Kreinovich, Gang Xiang

Departmental Technical Reports (CS)

It is well known that in decision making under uncertainty, while we are guided by a general (and abstract) theory of probability and of statistical inference, each specific type of observed data requires its own analysis. Thus, while textbook techniques treat precisely observed data in multivariate analysis, there are many open research problems when data are censored (e.g., in medical or bio-statistics), missing, or partially observed (e.g., in bioinformatics). Data can be imprecise due to various reasons, e.g., due to fuzziness of linguistic data. Imprecise observed data are usually called {\it coarse data}. In this chapter, we consider coarse data …

Ufuzzy Prediction Models In Measurement, Leon Reznik, Vladik Kreinovich

Departmental Technical Reports (CS)

The paper investigates a feasibility of fuzzy models application in measurement procedures. It considers the problem of measurement information fusion from different sources, when one of the sources provides predictions regarding approximate values of the measured variables or their combinations. Typically this information is given by an expert but may be mined from available data also. This information is formalized as fuzzy prediction models and is used in combination with the measurement results to improve the measurement accuracy. The properties of the modified estimates are studied in comparison with the conventional ones. The conditions when fuzzy models application can achieve …

Ontology-Enriched Semantic Space For Video Search, Xiao-Yong Wei, Chong-Wah Ngo

Research Collection School Of Computing and Information Systems

Multimedia-based ontology construction and reasoning have recently been recognized as two important issues in video search, particularly for bridging semantic gap. The lack of coincidence between low-level features and user expectation makes concept-based ontology reasoning an attractive midlevel framework for interpreting high-level semantics. In this paper, we propose a novel model, namely ontology-enriched semantic space (OSS), to provide a computable platform for modeling and reasoning concepts in a linear space. OSS enlightens the possibility of answering conceptual questions such as a high coverage of semantic space with minimal set of concepts, and the set of concepts to be developed for …

Plug-In Hybrid Vehicles -- A Vision For The Future, Mehdi Ferdowsi

Electrical and Computer Engineering Faculty Research & Creative Works

One of the unique advantages of plug-in hybrid vehicles is their capability to integrate the transportation and electric power generation sectors in order to improve the efficiency, fuel economy, and reliability of both systems. This goal is performed via integration of the onboard energy storage units of plug-in vehicles with the power grid by power electronic converters and communication systems. Employing energy storage systems improves the efficiency and reliability of the electric power generation, transmission, and distribution. Similarly, combining an energy storage system with the power train of a conventional vehicle results in a hybrid vehicle with higher fuel efficiency. …

Spatio-Temporal Anomaly Detection For Mobile Devices, Guarav Tandon, Philip K. Chan

Electrical Engineering and Computer Science Faculty Publications

With the increase in popularity of mobile devices, there has been a significant rise in mobile related security problems. The biggest threat for a mobile subscriber is lost or stolen device, which can lead to confidential data leakage, identity theft, misuse, impersonation, and high service charges. A significant amount of time may elapse between losing a device and disabling it through the service provider, during which an unauthorized malicious user may gain access and incur severe damage. We propose a probabilistic approach to spatio-temporal anomaly detection and evaluate smoothing techniques for sparse data. Our approach outperforms Markov Chain in experiments …

The Effects Of Foreign Accent And Language On Reaction Time And Accuracy In An Air Traffic Control Task, Rosabelle Suarez

Master's Theses - Daytona Beach

The present study examines the effect of foreign accent interference with the ability to execute commands presented in speech format. The objective of this study was to demonstrate that a foreign accent influences performance. Participants were between 18 and 40 years of age. Half of the participants were native speakers of Spanish who began learning English as a second language via the classroom setting. The other half were native English-speaking with little or no exposure to the Spanish language. The experimental design was similar to an aviation scenario where participants listened to simulated ATC procedural commands and execute them on …

Power Control And Multi-Target Identification In Cognitive Wireless Networks, Hong-Sam Thi Le

Electrical Engineering Theses - Archive

Recent research results have shown that cognitive wireless networks (CWN) have the potential to alleviate spectrum scarcity problem resulting from current policies for radio resource allocation management and dramatically improve the overall performance of communication systems. Unlike conventional wireless networks, which lack the flexibility and adaptation in their operations, CWNs exploit cognitive radio technology which provides cognitive wireless devices with the ability to sense the situation, adapt to the environment and take appropriate actions correspondingly. There have been many challenges in building a fully functional CWN. New developments and approaches need to be proposed to allow radio users to share …