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Articles 4951 - 4980 of 6253
Full-Text Articles in Entire DC Network
Joint Learning For Coreference Resolution With Markov Logic, Yang Song, Jing Jiang, Xin Zhao, Sujian Li, Houfeng Wang
Joint Learning For Coreference Resolution With Markov Logic, Yang Song, Jing Jiang, Xin Zhao, Sujian Li, Houfeng Wang
Research Collection School Of Computing and Information Systems
Pairwise coreference resolution models must merge pairwise coreference decisions to generate final outputs. Traditional merging methods adopt different strategies such as the best first method and enforcing the transitivity constraint, but most of these methods are used independently of the pairwise learning methods as an isolated inference procedure at the end. We propose a joint learning model which combines pairwise classification and mention clustering with Markov logic. Experimental results show that our joint learning system outperforms independent learning systems. Our system gives a better performance than all the learning-based systems from the CoNLL-2011 shared task on the same dataset. Compared …
Identifying Event-Related Bursts Via Social Media Activities, Xin Zhao, Baihan Shu, Jing Jiang, Yang Song, Hongfei Yan, Xiaoming Li
Identifying Event-Related Bursts Via Social Media Activities, Xin Zhao, Baihan Shu, Jing Jiang, Yang Song, Hongfei Yan, Xiaoming Li
Research Collection School Of Computing and Information Systems
Activities on social media increase at a dramatic rate. When an external event happens, there is a surge in the degree of activities related to the event. These activities may be temporally correlated with one another, but they may also capture different aspects of an event and therefore exhibit different bursty patterns. In this paper, we propose to identify event-related bursts via social media activities. We study how to correlate multiple types of activities to derive a global bursty pattern. To model smoothness of one state sequence, we propose a novel function which can capture the state context. The experiments …
Beyond Post-Modernity In Mathematics Education, Ole Skovsmose
Beyond Post-Modernity In Mathematics Education, Ole Skovsmose
The Mathematics Enthusiast
A radical form of postmodernity is presented with reference to Nietzsche’s ideas with respect to truth, knowledge, sciences, progress, democracy, and ethical values in general. Thereafter is presented Foucault’s archaeology of knowledge. This brings us forward to the notion of genealogy, which is a defining idea for the postmodern conception of critique. However, it is emphasised that a critique can address the generativity of mathematical rationality by considering mathematics-based fabrications. Finally, imagination is presented as yet another feature of a critical enterprise. It is illustrated how such a three dimensional critical enterprise is relevant for both mathematics and mathematics education. …
Finding Bursty Topics From Microblogs, Qiming Diao, Jing Jiang, Feida Zhu, Ee Peng Lim
Finding Bursty Topics From Microblogs, Qiming Diao, Jing Jiang, Feida Zhu, Ee Peng Lim
Research Collection School Of Computing and Information Systems
Microblogs such as Twitter reflect the general public’s reactions to major events. Bursty topics from microblogs reveal what events have attracted the most online attention. Although bursty event detection from text streams has been studied before, previous work may not be suitable for microblogs because compared with other text streams such as news articles and scientific publications, microblog posts are particularly diverse and noisy. To find topics that have bursty patterns on microblogs, we propose a topic model that simultaneousy captures two observations: (1) posts published around the same time are more likely to have the same topic, and (2) …
Identifying And Attributing Similar Traces With Greatest Common Factor Analysis, Fred Cohen
Identifying And Attributing Similar Traces With Greatest Common Factor Analysis, Fred Cohen
Journal of Digital Forensics, Security and Law
This paper presents an algorithm for comparing large numbers of traces to each other and identifying and presenting groups of traces with similar features. It is applied to forensic analysis in which groups of similar traces are automatically identified and presented so that attribution and other related claims may be asserted, and independently confirmed or refuted. The approach of this paper is to identify an approximate algorithm that will find a large subset of greatest common factor similar groups of arbitrary factors in far less time and space than an exact algorithm using examiner-provided selection criteria for factor definition.
The Effects Of Diagrams And Relational Complexity On User Performance In Conditional Probability Problems In A Non-Learning Context, Vincent J. Kellen
The Effects Of Diagrams And Relational Complexity On User Performance In Conditional Probability Problems In A Non-Learning Context, Vincent J. Kellen
College of Computing and Digital Media Dissertations
Many disciplines in everyday life depend on improved performance in conditional probability problems. Most adults struggle with conditional probability problems and several prior studies have shown participant accuracy is less than 50%. This study examined user performance when aided with computer-generated Venn and Euler type diagrams in a non-learning context. Despite the prevalence of research into diagrams and extensive research into conditional probability problem solving, this study is one of the only studies to apply theories of working memory to predict user performance in conditional probability problems with diagrams. Following relational complexity theory, this study manipulated problem complexity in computer …
A Novel Algorithm To Forecast Enrollment Based On Fuzzy Time Series, Haneen T. Jasim, Abdul G. Jasim Salim, Kais I. Ibraheem
A Novel Algorithm To Forecast Enrollment Based On Fuzzy Time Series, Haneen T. Jasim, Abdul G. Jasim Salim, Kais I. Ibraheem
Applications and Applied Mathematics: An International Journal (AAM)
In this paper we propose a new method to forecast enrollments based on fuzzy time series. The proposed method belongs to the first order and time-variant methods. Historical enrollments of the University of Alabama from year 1948 to 2009 are used in this study to illustrate the forecasting process. By comparing the proposed method with other methods we will show that the proposed method has a higher accuracy rate for forecasting enrollments than the existing methods.
The Intersection Between Science And Computer Science Is Almost Empty, Dick Hamlet
The Intersection Between Science And Computer Science Is Almost Empty, Dick Hamlet
Systems Science Friday Noon Seminar Series
Traditionally, a science such as physics overlaps with mathematics and engineering in a way that has been astonishingly productive. The math provides precise expression for the science, which in turn supplies the engineering with the information it needs to exploit physical phenomena. Computer science naturally wishes to put itself in the center of the traditional picture as a science. Unfortunately, it won't wash. The `science' of programming is pure and simple mathematics, not science. The distinction is more than linguistic, since science and mathematics have quite distinct goals and methods. By making the wrong choice, computer science research has been …
Identifying Linux Bug Fixing Patches, Yuan Tian, Julia Lawall, David Lo
Identifying Linux Bug Fixing Patches, Yuan Tian, Julia Lawall, David Lo
Research Collection School Of Computing and Information Systems
In the evolution of an operating system there is a continuing tension between the need to develop and test new features, and the need to provide a stable and secure execution environment to users. A compromise, adopted by the developers of the Linux kernel, is to release new versions, including bug fixes and new features, frequently, while maintaining some older “longterm” versions. This strategy raises the problem of how to identify bug fixing patches that are submitted to the current version but should be applied to the longterm versions as well. The current approach is to rely on the individual …
Structural Analysis And Auditing Of Snomed Hierarchies Using Abstraction Networks, Yue Wang
Structural Analysis And Auditing Of Snomed Hierarchies Using Abstraction Networks, Yue Wang
Dissertations
SNOMED is one of the leading healthcare terminologies being used worldwide. Due to its sheer volume and continuing expansion, it is inevitable that errors will make their way into SNOMED. Thus, quality assurance is an important part of its maintenance cycle.
A structural approach is presented in this dissertation, aiming at developing automated techniques that can aid auditors in the discovery of terminology errors more effectively and efficiently. Large SNOMED hierarchies are partitioned, based primarily on their relationships patterns, into concept groups of more manageable sizes. Three related abstraction networks with respect to a SNOMED hierarchy, namely the area taxonomy …
The Xbox 360 And Steganography: How Criminals And Terrorists Could Be "Going Dark", Ashley Podhradsky, Rob D’Ovidio, Cindy Casey
The Xbox 360 And Steganography: How Criminals And Terrorists Could Be "Going Dark", Ashley Podhradsky, Rob D’Ovidio, Cindy Casey
Annual ADFSL Conference on Digital Forensics, Security and Law
Video game consoles have evolved from single-player embedded systems with rudimentary processing and graphics capabilities to multipurpose devices that provide users with parallel functionality to contemporary desktop and laptop computers. Besides offering video games with rich graphics and multiuser network play, today's gaming consoles give users the ability to communicate via email, video and text chat; transfer pictures, videos, and file;, and surf the World-Wide-Web. These communication capabilities have, unfortunately, been exploited by people to plan and commit a variety of criminal activities. In an attempt to cover the digital tracks of these unlawful undertakings, anti-forensic techniques, such as steganography, …
Update On The State Of The Science Of Digital Evidence Examination, Fred Cohen
Update On The State Of The Science Of Digital Evidence Examination, Fred Cohen
Annual ADFSL Conference on Digital Forensics, Security and Law
This paper updates previous work on the level of consensus in foundational elements of digital evidence examination. Significant consensus is found present only after definitions are made explicit, suggesting that, while there is a scientific agreement around some of the basic notions identified, the use of a common language is lacking.
Keywords: Digital forensics examination, terminology, scientific methodology, testability, validation, classification, scientific consensus
Issues In Designing A Corpus Of Spoken Irish, Elaine Ui Dhonnchadha, Alessio Frenda, Brian Vaughan
Issues In Designing A Corpus Of Spoken Irish, Elaine Ui Dhonnchadha, Alessio Frenda, Brian Vaughan
Conference papers
This paper describes the stages involved in implementing a corpus of spoken Irish. This pilot project (consisting of approximately 140K of transcribed data) implements parts of the design of a larger corpus of spoken Irish which it is hoped will contain approximately 2 million words when complete. It hoped that such a corpus will provide material for linguistic research, lexicography, the teaching of Irish and for development of language technology for the Irish language.
Speech & Multimodal Resources: The Herme Database Of Spontaneous Multimodal Human-Robot Dialogues, Jing Guang Hang, Emer Gilmartin, Celine De Looze, Brian Vaughan, Nick Campbell
Speech & Multimodal Resources: The Herme Database Of Spontaneous Multimodal Human-Robot Dialogues, Jing Guang Hang, Emer Gilmartin, Celine De Looze, Brian Vaughan, Nick Campbell
Conference papers
This paper presents methodologies and tools for language resource (LR) construction. It describes a database of interactive speech collected over a three-month period at the Science Gallery in Dublin, where visitors could take part in a conversation with a robot. The system collected samples of informal, chatty dialogue – normally difficult to capture under laboratory conditions for human-human dialogue, and particularly so for human-machine interaction. The conversations were based on a script followed by the robot consisting largely of social chat with some task-based elements. The interactions were audio-visually recorded using several cameras together with microphones. As part of the …
Trust Networks, Krishnaprasad Thirunarayan, Pramod Anantharam, Cory Andrew Henson, Amit P. Sheth
Trust Networks, Krishnaprasad Thirunarayan, Pramod Anantharam, Cory Andrew Henson, Amit P. Sheth
Kno.e.sis Publications
Trust relationships occur naturally in many diverse contexts such as collaborative systems, e-commerce, interpersonal interactions, social networks, semantic sensor web, etc. As collaborating agents providing content and services become increasingly removed from the agents that consume them, the issue of robust trust inference and update become critical. There is a need to find online substitutes for traditional (direct or face-to-face) cues to derive measures of trust, and create efficient and secure system for managing trust, to support decision-making. Unfortunately, there is neither a universal notion of trust that is applicable to all domains nor a clear explication of its semantics …
San Antonio High School Food Justice Program: A Handbook And Evaluation Of Edible Education, Katherine B. Tenneson
San Antonio High School Food Justice Program: A Handbook And Evaluation Of Edible Education, Katherine B. Tenneson
Pitzer Senior Theses
This senior environmental studies thesis explains and analyzes edible education through a food and gardening program at a continuation high school in Claremont, California. The first chapter situates the program-specific analysis by providing background information of the edible education movement, a history of the Edible Schoolyard in Berkeley, California, and an explanation of why food is a powerful teaching tool. The second chapter delineates the program by describing all of its components and compiling essential resources and teaching documents. The third chapter is based on interviews with 9 of 12 involved students and 7 teachers, and thoroughly explains the outcomes …
Improving The Effectiveness Of Machine-Assisted Annotation, Paul L. Felt
Improving The Effectiveness Of Machine-Assisted Annotation, Paul L. Felt
Theses and Dissertations
Annotated textual corpora are an essential language resource, facilitating manual search and discovery as well as supporting supervised Natural Language Processing (NLP) techniques designed to accomplishing a variety of useful tasks. However, manual annotation of large textual corpora can be cost-prohibitive, especially for rare and under-resourced languages. For this reason, developers of annotated corpora often attempt to reduce annotation cost by offering annotators various forms of machine assistance intended to increase annotator speed and accuracy. This thesis contributes to the field of annotated corpus development by providing tools and methodologies for empirically evaluating the effectiveness of machine assistance techniques. This …
Exploration Of The Chemistry Of Alkynes And Selectfluor : Search For Cytotoxic Agents From The Amazonian Rainforest., Zhuang Jin
Electronic Theses and Dissertations
Vicinal dithioethers and alkenyl thioethers were synthesized under environmentally friendly conditions using alkyne and thiol in water. Alkynes were also used to develop a multibond-fonning reaction that fonned cyclic ketones or ketoesters through a goldcatalyzed intramolecular oxygen transfer isomerization of 2-alkynyl-l ,5-diketones or 2- alkyny 1-5 -ketoesters. The investigation of Selectfluor chemistry yielded a highly stereoselective synthesis of fluoroalky (E)-a,ß-unsaturated ketones from allenyl esters, through a gold-catalyzed rearrangement that produced an intennediate dienyl ester. When Selectfluor was combined with copper, it produced two oxidative systems, F-TEDA-BF4 and F-TEDAPF 6, both of which efficiently converted amides into imides at room temperature …
The New American Conservation Movement: New Strategies, Focus And Organizations For The 21st Century, Amy Deanna Northrup
The New American Conservation Movement: New Strategies, Focus And Organizations For The 21st Century, Amy Deanna Northrup
UNLV Theses, Dissertations, Professional Papers, and Capstones
This dissertation provides evidence of the emergence of a new conservation movement in the United States. The strategic, tactical and organizational approaches of traditional conservation efforts, which began in the early 1900s, have shifted during the last two decades. Specifically, the new conservation movement is characterized by three distinct changes. First, many of the well-established conservation organizations, such as the Sierra Club and National Audubon Society, have largely abandoned their traditional focus on increasing the number of acres preserved; instead more defensive and fragmented forms of conservation now reign. The second change to the conservation movement involves a dramatic expansion …
Real-Time Face Detection And Recognition, Parker Hill, Brendan Morris
Real-Time Face Detection And Recognition, Parker Hill, Brendan Morris
College of Engineering: Graduate Celebration Programs
The face has become a popular biometric for identification due to the wide range of features and difficulty in manipulation of the metric. In order to work towards a robust facial recognition system, this work contains a foundation for using the face as a recognition metric. First, faces are detected from still images using a Viola-Jones object detection algorithm. Then, Eigenfaces is applied to the detected faces. The system was tested on face databases as well as real-time feed from a web camera.
Designing And Implementing A Platform For Collecting Multi-Modal Data Of Human-Robot Interaction, Brian Vaughan, Jing Guang Han, Emer Kilmartin, Nick Campbell
Designing And Implementing A Platform For Collecting Multi-Modal Data Of Human-Robot Interaction, Brian Vaughan, Jing Guang Han, Emer Kilmartin, Nick Campbell
Articles
This paper details a method of collecting video and audio recordings of people inter- acting with a simple robot interlocutor. The interaction is recorded via a number of cameras and microphones mounted on and around the robot. The system utilised a number of technologies to engage with interlocutors including OpenCV, Python, and Max MSP. Interactions over a three month period were collected at The Science Gallery in Trinity College Dublin. Visitors to the gallery freely engaged with the robot, with interactions on their behalf being spontaneous and non-scripted. The robot dialogue was a set pattern of utterances to engage interlocutors …
Outage Detection Via Real-Time Social Stream Analysis: Leveraging The Power Of Online Complaints, Eriq Augustine, Caitlin Cushing, Alex Dekhtyar, Kevin Mcentee, Kimberly Paterson, Matt Tognetti
Outage Detection Via Real-Time Social Stream Analysis: Leveraging The Power Of Online Complaints, Eriq Augustine, Caitlin Cushing, Alex Dekhtyar, Kevin Mcentee, Kimberly Paterson, Matt Tognetti
Computer Science and Software Engineering
Over the past couple of years, Netflix has significantly expanded its online streaming offerings, which now encompass multiple delivery platforms and thousands of titles available for instant view. This paper documents the design and development of an outage detection system for the online services provided by Netflix. Unlike other internal quality control measures used at Netflix, this system uses only publicly available information: the tweets, or Twitter posts, that mention the word “Netflix,” and has been developed and deployed externally, on servers independent of the Netflix infrastructure. This paper discussed the system and provides assessment of the accuracy of its …
Possibility Estimation Of Generating Internal Waves In The Northwest Pacific Ocean Using The Fuzzy Logic Technique, Jia-Xun Li, Ren Ren, Bao-Gang Jin, Hui-Zan Wang
Possibility Estimation Of Generating Internal Waves In The Northwest Pacific Ocean Using The Fuzzy Logic Technique, Jia-Xun Li, Ren Ren, Bao-Gang Jin, Hui-Zan Wang
Journal of Marine Science and Technology–Taiwan
Possibility estimation of generating internal waves has been recognized as a difficult problem because of the complex generation mechanisms and insufficient in situ observation data of internal waves. In this study, a inference model based on the fuzzy logic technique was developed for estimating the generation possibility of internal waves. The marine environmental factors causing the occurrence of internal waves were distilled from ocean data and used as the inputs of the fuzzy inference model, and the generation possibilities of internal waves were used as the output of the model. The developed model was applied to the northwest Pacific, and …
11th Annual Undergraduate Student Symposium, Farquhar Honors College
11th Annual Undergraduate Student Symposium, Farquhar Honors College
Undergraduate Student Symposium
The Undergraduate Student Symposium, sponsored by the Farquhar College of Arts and Sciences, presents student projects through presentations, papers, and poster displays. The event serves as a “showcase” demonstrating the outstanding scholarship of undergraduate students at NSU. The Symposium is open to undergraduate students from all disciplines. Projects cover areas of student scholarship ranging from the experimental and the applied to the computational, theoretical, artistic, and literary. They are taken from class assignments as well as from independent projects. The projects do not have to be complete; presentations can represent any stage in the concept’s evolution, from proposal and literature …
2012 - The Seventeenth Annual Symposium Of Student Scholars
2012 - The Seventeenth Annual Symposium Of Student Scholars
Symposium of Student Scholars Program Books
The full program book from the Seventeenth Annual Symposium of Student Scholars, held on April 10, 2012. Includes abstracts from the presentations and posters.
Team-Teaching Experiences Of A Mathematician And A Mathematics Teacher Educator: An Interpretative Phenomenological Case Study, Sarah K. Bleiler
Team-Teaching Experiences Of A Mathematician And A Mathematics Teacher Educator: An Interpretative Phenomenological Case Study, Sarah K. Bleiler
USF Tampa Graduate Theses and Dissertations
In recent years, experts and organizations involved in mathematics education have emphasized the importance of collaboration between mathematicians and mathematics teacher educators as a means of improving the professional preparation of mathematics teachers. While several such collaborative endeavors have been documented in the extant literature, most research reports have focused on the products, rather than the process, of collaboration. The purpose of this interpretative phenomenological case study is to gain an understanding of the lived experiences of a mathematician and a mathematics teacher educator as they engaged in a team-teaching collaboration within the context of prospective secondary mathematics teacher preparation. …
Mobile Technology Update To Delone And Mclean Model Of Information Success, Jason Ryberg
Mobile Technology Update To Delone And Mclean Model Of Information Success, Jason Ryberg
Regis University Student Publications (comprehensive collection)
Senior managers are challenged to measure the success of their IT systems when justifying technology investments needed to meet the organization"â„¢s mission. Due to increasing implementation of mobile technology, enterprise adoption of smartphones is no exception. Traditionally, the DeLone and McLean Information Systems (IS) Success Model has been proven as a valid framework for measuring IS success. However, it has not been updated to address the success variables related to mobile technology. Many studies on mobile technology have reviewed mobile success, but none have attempted theoretical assimilation. This thesis attempts to correct this situation by examining the DeLone and McLean …
How To Reach All Types Of Learners Through The Use Of Manupulatives In Grades Three, Four, And Five, Cadie Fairchild
How To Reach All Types Of Learners Through The Use Of Manupulatives In Grades Three, Four, And Five, Cadie Fairchild
Mathematics Graduate Theses
This paper is an examination of research concerning the use of manipulatives with third, fourth, and fifth grade mathematics instruction. The research discusses the power of child discovery, stages of representation, using manipulatives to support learning, eliminating manipulatives prematurely, and eliminating negative stereotypes linked to manipulative use. A major concern of teaching with manipulatives is the knowledge of the teacher. An educator’s role is to provide the best learning opportunities for students. Research reviewed for this paper indicates frequent hands on activities using manipulatives. They need to be aware of the many learning stages and how to address each individual …
Adaptive Radial Basis Function Neural Networks-Based Real Time Harmonics Estimation And Pwm Control For Active Power Filters, Eyad Kh Almaita
Adaptive Radial Basis Function Neural Networks-Based Real Time Harmonics Estimation And Pwm Control For Active Power Filters, Eyad Kh Almaita
Dissertations
With the proliferation of nonlinear loads in the power system, harmonic pollution becomes a serious problem that affects the power quality in both transmission and distribution systems. Active power filters (APF) have been proven to be one of the most successful methods for mitigating harmonics problems. So far, different techniques have been used in harmonics extraction and control of APF to satisfy the fast response and the accuracy required by the APF. Neural networks techniques have been used successfully in different real-time and complex situations. This dissertation demonstrates four main tasks; (i) a novel adaptive radial basis function neural networks …
Blog Information Classification, Nishant Patel
Blog Information Classification, Nishant Patel
Master's Projects
nformation Classification is the categorization of the huge amount of data in an efficient and useful way. In the current scenario data is growing exponentially due to the rise of internet rich applications. One such source of information is the blogs. Blogs are web logs maintained by their authors that contain information related to a certain topic and also contain authors view about that topic. Micro blogs, on the other hands, are variations of blogs that contain smaller data as compared to blogs. Nevertheless, it also contains rich information. In this project, Twitter, a micro blogging website has been targeted …