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Articles 5491 - 5520 of 6248
Full-Text Articles in Entire DC Network
Flaws And Idiosyncrasies In Mathematicians: Food For The Classroom, Ted Eisenberg
Flaws And Idiosyncrasies In Mathematicians: Food For The Classroom, Ted Eisenberg
The Mathematics Enthusiast
This paper raises an ethical question: should aspects of a mathematician’s personality, political beliefs, physical handicaps, and the ironies surrounding their life be mentioned parenthetically or otherwise in our lessons? What about the political and social norms of the times in the countries in which they lived? There are no hard and fast guidelines on this other than to use good taste; but what is in good taste to one is often in bad taste to another. At the very least this paper presents tidbits of information and innuendo about mathematicians the reader might not know. But hopefully this paper …
Not Your Father’S Border: An Examination Of The Border In Northern Ireland And Its Relevance To The Global Change In The Importance Of World Borders, Aaron Patterson
Not Your Father’S Border: An Examination Of The Border In Northern Ireland And Its Relevance To The Global Change In The Importance Of World Borders, Aaron Patterson
Theses, Dissertations and Capstones
Humanity has long maintained barriers separating specific entities from others. Ranging from cultural, religious, financial, and racial differences among a few others, the reasoning behind borders has remained a purely human endeavor. But our current golden age of technology has somewhat shrunk, or at least reassessed the necessity for borders. The boundaries of today, while many remain in the same locations as in the past, are vastly different from the borders created by previous generations. Globalization, a relatively new term, has made communication simple and fast. The noticeable result has been, of course, better communication between locations, and thus easing …
Improving Knowledge Management Programs Using Marginal Utility In A Metric Space Generated By Conceptual Graphs, Jeffrey A. Schiffel
Improving Knowledge Management Programs Using Marginal Utility In A Metric Space Generated By Conceptual Graphs, Jeffrey A. Schiffel
CCAC Theses and Dissertations
Knowledge management has emerged as a field of endeavor that blends a systems approach with methods drawn from organizational management and learning. In contrast, knowledge representation, a branch of artificial intelligence, is grounded in formal methods. Research in the separate behavioral and the structural disciplines – knowledge management and knowledge engineering - has not traditionally cross-pollinated. This has prevented the development of many practical practices useful in organizations. Organization managers - line and senior - lack guidance in where to direct improvement efforts targeted at specific groups of company knowledge workers. Demonstrated here is Knowledge Improvement Measurement Space (KIMS), a …
Sentiment Regression: Using Real-Valued Scores To Summarize Overall Document Sentiment, Adam Drake, Eric K. Ringger, Dan A. Ventura
Sentiment Regression: Using Real-Valued Scores To Summarize Overall Document Sentiment, Adam Drake, Eric K. Ringger, Dan A. Ventura
Faculty Publications
In this paper, we consider a sentiment regression problem: summarizing the overall sentiment of a review with a real-valued score. Empirical results on a set of labeled reviews show that real-valued sentiment modeling is feasible, as several algorithms improve upon baseline performance. We also analyze performance as the granularity of the classification problem moves from two-class (positive vs. negative) towards infinite-class (real-valued).
Learning Expressive Ontologies, Johanna Volker, Peter Haase, Pascal Hitzler
Learning Expressive Ontologies, Johanna Volker, Peter Haase, Pascal Hitzler
Computer Science and Engineering Faculty Publications
No abstract provided.
Joint Extraction Of Compound Entities And Relationships From Biomedical Literature, Cartic Ramakrishnan, Pablo N. Mendes, Rodrigo A.T.S. De Gama, Guilherme C.N. Ferreira, Amit P. Sheth
Joint Extraction Of Compound Entities And Relationships From Biomedical Literature, Cartic Ramakrishnan, Pablo N. Mendes, Rodrigo A.T.S. De Gama, Guilherme C.N. Ferreira, Amit P. Sheth
Kno.e.sis Publications
In this paper we identify some limitations of contemporary information extraction mechanisms in the context of biomedical literature. We present an extraction mechanism that generates structured representations of textual content. Our extraction mechanism achieves this by extracting compound entities, and relationships between them, occuring in text. A detailed evaluation of the relationship and compound entities extracted is presented. Our results show over 62% average precision across 8 relationship types tested with over 82% average precision for compound entity identification1.
Targeted Content Delivery For Social Media Content, Meenakshi Nagarajan, Kamal Baid, Amit P. Sheth, Shaojun Wang
Targeted Content Delivery For Social Media Content, Meenakshi Nagarajan, Kamal Baid, Amit P. Sheth, Shaojun Wang
Kno.e.sis Publications
Spotting contextually relevant keywords is fundamental to effective content suggestions on the Web. In this regard, misspellings, entity variations and off-topic discussions in content from Social Media pose unique challenges. Here, we present an algorithm that assists content delivery systems by identifying contextually relevant keywords and eliminating off-topic keywords. A preliminary user study over data from MySpace and Facebook clearly suggests the usefulness of our work in delivering more targeted content suggestions.
Alien Invaders! On-Site Programming (Grade 6), Discover Mojave: Forever Earth
Alien Invaders! On-Site Programming (Grade 6), Discover Mojave: Forever Earth
Curriculum materials (FE)
In the “Alien Invaders!” program, students investigate how quagga mussels might affect Lake Mead. Students collect water quality data such as clarity, pH, and temperature to determine current habitat conditions that have allowed quagga mussels to thrive in Lake Mead. Students learn about the consequences that quagga mussels could have on the lake and its living and non-living resources. Using the knowledge they’ve gained, students create their own management plans to prevent the spread of quagga mussels to other waterways.
New Classes Of Codes For Cryptologists And Computer Scientists, Florentin Smarandache, W.B. Vasantha Kandasamy
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 …
Methods In Industrial Biotechnology For Chemical Engineers, Florentin Smarandache, W.B. Vasantha Kandasamy
Methods In Industrial Biotechnology For Chemical Engineers, Florentin Smarandache, W.B. Vasantha Kandasamy
Branch Mathematics and Statistics Faculty and Staff Publications
Industrial Biotechnology is an interdisciplinary topic to which tools of modern biotechnology are applied for finding proper proportion of raw mix of chemicals, determination of set points, finding the flow rates etc., This study is significant as it results in better economy, quality product and control of pollution. The authors in this book have given only methods of industrial biotechnology mainly to help researchers, students and chemical engineers. Since biotechnology concerns practical and diverse applications including production of new drugs, clearing up pollution etc. we have in this book given methods to control pollution in chemical industries as it has …
The Java 5 Generics Compromise Orthogonality To Keep Compatibility, Atanas Radenski, Jeff Furlong, Vladimir Zanev
The Java 5 Generics Compromise Orthogonality To Keep Compatibility, Atanas Radenski, Jeff Furlong, Vladimir Zanev
Mathematics, Physics, and Computer Science Faculty Articles and Research
In response to a long-lasting anticipation by the Java community, version 1.5 of the Java 2 platform - referred to as Java 5 - introduced generic types and methods to the Java language. The Java 5 generics are a significant enhancement to the language expressivity because they allow straightforward composition of new generic classes from existing ones while reducing the need for a plethora of type casts. While the Java 5 generics are expressive, the chosen implementation method, type erasure, has triggered undesirable orthogonality violations. This paper identifies six cases of orthogonality violations in the Java 5 generics and demonstrates …
Steganography: Forensic, Security, And Legal Issues, Merrill Warkentin, Ernst Bekkering, Mark B. Schmidt
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.
Robot Controller Architecture: Layered Mode Selection Logic With Fuzzy Sensor Fusion Network, Traig E.B. Born
Robot Controller Architecture: Layered Mode Selection Logic With Fuzzy Sensor Fusion Network, Traig E.B. Born
Theses and Dissertations
A behavior based robot controller was implemented using Layered Mode Selection Logic as a behavior coordination mechanism and a Fuzzy Sensor Fusion Network to provide perception. A series of collision experiments were conducted to create a Fuzzy Sensor Fusion Network capable of detecting collisions using acceleration readings from wheel encoders. An obstacle avoidance behavior was created, and it was demonstrated that the robot could be constrained by movable obstacles. The avoidance behavior was modified to create an obstacle manipulation behavior. This behavior allowed the robot to escape when enclosed by movable obstacles. The fuzzy sensor fusion network was enhanced to …
Heuristic Health Resource Referral (H2r2) Engine, Duy Vo
Heuristic Health Resource Referral (H2r2) Engine, Duy Vo
Master's Projects
Searching for health resources is difficult for many individuals because it requires domain knowledge and understanding of search engines techniques. Our system proposes a paradigm shift whereby users provide as much or as little information as they feel comfortable, and we endeavor to match them with relevant health resources. The system first attempts to identify risk factors through a heuristic engine that employs fuzzy logic and then searches for health resources based on the user’s profile. We aim to unburden the user from having to understand complex health information and sometimes esoteric search techniques. Our preliminary findings show that a …
The Prosody Of Uncertainty For Spoken Dialogue Intelligent Tutoring Systems, Bevan Jones
The Prosody Of Uncertainty For Spoken Dialogue Intelligent Tutoring Systems, Bevan Jones
Master's Projects
The speech medium is more than an audio conveyance of word strings. It contains meta information about the content of the speech. The prosody of speech, pauses and intonation, adds an extra dimension of diagnostic information about the quality of a speaker's answers, suggesting an important avenue of research for spoken dialogue tutoring systems. Tutoring systems that are sensitive to such cues may employ different tutoring strategies based on detected student uncertainty, and they may be able to perform more precise assessment of the area of student difficulty. However, properly identifying the cues can be challenging, typically requiring thousands of …
Personalized Web Content With Fuzzy System, Bassam Almogahed
Personalized Web Content With Fuzzy System, Bassam Almogahed
Master's Projects
In this paper, we will develop a new computational intelligence methodology to automatically analyze and summarize web content during a user surfing sessions. The output of this process is meaningful keywords or phrases which will be used to bring the user other contents such as images that closely relate to the web pages that he or she is currently surfing.
Intelligent Query For Real Estate Search, Mandeep Jandir
Intelligent Query For Real Estate Search, Mandeep Jandir
Master's Projects
The purpose of this project is to improve search query accuracy in a real estate website by developing an intelligent query system which provides the best matching result for standard search criteria. This intelligent query website utilizes fuzzy logic and partial membership to filter query results based on user input data. Fuzzy logic helps obtain results that are otherwise not attainable from a non-fuzzy search. A non-fuzzy search entails search results that match exactly with the given criteria. This project also allows a user to do a free keyword search. This type of search uses synonyms of the keywords to …
Fuzzy Range Query In Xml, Dexiong Zhang
Fuzzy Range Query In Xml, Dexiong Zhang
Master's Projects
This writing project presents a new approach to implement a fuzzy range query solution for retrieving Extensible Markup Language (XML) data. Ever since XML was introduced, it has become a web standard to describe data on the Internet. The need for performing range query against XML data is growing day by day. Many search service providers are eager to improve their solutions on range query against XML data. The project studies and analyzes the limitations on the current range query solutions. The project also proposes a new solution using fuzzy semantic analysis to quantify XML data so that it can …
Finicky Fish Finish... Last! Pre-Visit Lessons (Grade 5), Discover Mojave: Forever Earth
Finicky Fish Finish... Last! Pre-Visit Lessons (Grade 5), Discover Mojave: Forever Earth
Curriculum materials (FE)
In “Finicky Fish Finish…Last!” students use the Forever Earth vessel to explore what has happened to the Colorado River and the reasons why it is so difficult for the razorback sucker to thrive in a changed environment. Working as ichthyologists (fish biologists) at Lake Mead, students collect water quality data such as temperature, pH, and clarity -- to determine whether current habitat conditions are sufficient for survival of young razorback suckers. Students observe and identify non-native fish in Lake Mead as they learn how the razorback sucker interacts with these neighbors. Students assess whether Lake Mead is still a good …
Fuzzy Content Mining For Targeted Advertisement, Yezhou Wang
Fuzzy Content Mining For Targeted Advertisement, Yezhou Wang
Master's Projects
Content-targeted advertising system is becoming an increasingly important part of the funding source of free web services. Highly efficient content analysis is the pivotal key of such a system. This project aims to establish a content analysis engine involving fuzzy logic that is able to automatically analyze real user-posted Web documents such as blog entries. Based on the analysis result, the system matches and retrieves the most appropriate Web advertisements. The focus and complexity is on how to better estimate and acquire the keywords that represent a given Web document. Fuzzy Web mining concept will be applied to synthetically consider …
Dwelling, Walking, Serving: Organic Preservation Along The Camino De Santiago Pilgrimage Landscape, Mercedes Chamberlain Quesada-Embid
Dwelling, Walking, Serving: Organic Preservation Along The Camino De Santiago Pilgrimage Landscape, Mercedes Chamberlain Quesada-Embid
Antioch University Dissertations & Theses
This study is an exploration of the people and the landscape of the well-known Camino de Santiago pilgrimage route. Although there are many routes that make up the entirety of the pilgrimage, this research is specifically focused on the landscape of the Camino Francés, or French Route, in northern Spain. The path has been written about in many ways and for a myriad of reasons since it became affiliated with the Christian tradition in the early ninth century. This research, however, is different. By way of an environmental history and hermeneutic approach, an investigation of the interrelated and overlapping human …
New And Noteworthy Books From Sense Publishers
New And Noteworthy Books From Sense Publishers
The Mathematics Enthusiast
No abstract provided.
Medical Language Processing For Patient Diagnosis Using Text Classification And Negation Labelling, Brian Mac Namee, John D. Kelleher, Sarah Jane Delany
Medical Language Processing For Patient Diagnosis Using Text Classification And Negation Labelling, Brian Mac Namee, John D. Kelleher, Sarah Jane Delany
Conference papers
This paper describes the approach of the DIT AIGroup to the i2b2 Obesity Challenge to build a system to diagnose obesity and related co-morbidities from narrative, unstructured patient records. Based on experimental results a system was developed which used knowledge-light text classification using decision trees, and negation labelling.
Referring Expression Generation Challenge 2008 Dit System Descriptions (Dit-Fbi, Dit-Tvas, Dit-Cbsr, Dit-Rbr, Dit-Fbi-Cbsr, Dit-Tvas-Rbr), John D. Kelleher, Brian Mac Namee
Referring Expression Generation Challenge 2008 Dit System Descriptions (Dit-Fbi, Dit-Tvas, Dit-Cbsr, Dit-Rbr, Dit-Fbi-Cbsr, Dit-Tvas-Rbr), John D. Kelleher, Brian Mac Namee
Conference papers
This papers desibes a set of systems developed at DIT for the Referring Expression Generation challenage at INLG 2008.In Proceedings of the 5th International Natural Language Generation Conference (INLG-08)
Beyond The Debate: Exploring The Underlying Values And Assumptions Of Biodiversity Conservation In Protected Areas, Leon-Charl Malan
Beyond The Debate: Exploring The Underlying Values And Assumptions Of Biodiversity Conservation In Protected Areas, Leon-Charl Malan
Antioch University Dissertations & Theses
This dissertation examines the current disagreement among scientists and scholars about best practices for biodiversity conservation in protected areas. There is no clear consensus among the scientific community about the most effective approach to conserve biodiversity and several conflicting positions form part of an ongoing debate in the field. Most disagreements and conflicts are based on differences in the underlying values and assumptions of the parties involved in the conflict. The more we know and understand those underlying values, the more constructive the dialog, and the more likely acceptable policy decisions will be developed. This study, presented in three parts, …
Preservice Teachers’ Disposition Self-Appraisals: Is There A Connection To Mathematics Instructional Practices?, Shonda Lemons-Smith
Preservice Teachers’ Disposition Self-Appraisals: Is There A Connection To Mathematics Instructional Practices?, Shonda Lemons-Smith
Proceedings of the Annual Meeting of the Georgia Association of Mathematics Teacher Educators
This paper explores preservice teachers’ dispositions and the connection to mathematics instructional practices. The Theory of Culturally Relevant Pedagogy served as the theoretical grounding for the study. Hence, its three broad propositions: conceptions of self and others, social relations, and conceptions of knowledge structure the argument presented. The participants in the study are elementary preservice teachers enrolled in a post-baccalaureate alternative certification program. The full-time, accelerated program focuses on and is specifically designed for individuals committed to teaching in urban, high-poverty schools. A dispositions survey, open-ended narratives, and teaching observation rubric served as data sources for the qualitative study. Findings …
Object Detection And Classification With Applications To Skin Cancer Screening, Jonathan Blackledge, Dmitryi Dubovitskiy
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 …
Web-Based Service Exchange System For Agents And Humans Alike, Evens Jean, Machigar Ongtang, A. R. Hurson
Web-Based Service Exchange System For Agents And Humans Alike, Evens Jean, Machigar Ongtang, A. R. Hurson
Computer Science Faculty Research & Creative Works
Semantic Web research aims at bridging the gap between how humans and agents process information readily available on the Internet. One of the great challenges to this goal lies in the fact that humans, contrary to agents, can extract the meaning of words based on its context. This work introduces a service exchange system for the Web that allows agents to intelligently process information, as would humans. This is achieved by the use of thesauri to help agents resolve semantic heterogeneity in the information being processed. The framework for the exchange system has been realized under the aglet platform on …
Document Selection For Extracting Entity And Relationship Instances Of Terrorist Events, Zhen Sun, Ee Peng Lim, Kuiyu Chang, Maggy Anastasia Suryanto, Rohan Kumar Gunaratna
Document Selection For Extracting Entity And Relationship Instances Of Terrorist Events, Zhen Sun, Ee Peng Lim, Kuiyu Chang, Maggy Anastasia Suryanto, Rohan Kumar Gunaratna
Research Collection School Of Computing and Information Systems
In this chapter, we study the problem of selecting documents so as to extract terrorist event information from a collection of documents. We represent an event by its entity and relation instances. Very often, these entity and relation instances have to be extracted from multiple documents. We therefore define an information extraction (IE) task as selecting documents and extracting from which entity and relation instances relevant to a user-specified event (aka domain specific event entity and relation extraction). We adopt domain specific IE patterns to extract potentially relevant entity and relation instances from documents, and develop a number of document …