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Articles 1321 - 1350 of 1584
Full-Text Articles in Computer Sciences
An Artificial Life Approach To Evolutionary Computation: From Mobile Cellular Algorithms To Artificial Ecosystems, Shivakar Vulli
An Artificial Life Approach To Evolutionary Computation: From Mobile Cellular Algorithms To Artificial Ecosystems, Shivakar Vulli
Masters Theses
"This thesis presents a new class of evolutionary algorithms called mobile cellular evolutionary algorithms (mcEAs). These algorithms are characterized by individuals moving around on a spatial population structure. As a primary objective, this thesis aims to show that by controlling the population density and mobility in mcEAs, it is possible to achieve much better control over the rate of convergence than what is already possible in existing cellular EAs. Using the observations and results from this investigation into selection pressure in mcEAs, a general architecture for developing agent-based evolutionary algorithms called Artificial Ecosystems (AES) is presented. A simple agent-based EA …
Minimize End-To-End Delay Through Cross-Layer Optimization In Multi-Hop Wireless Sensor Networks, Yibo Xu
Minimize End-To-End Delay Through Cross-Layer Optimization In Multi-Hop Wireless Sensor Networks, Yibo Xu
Masters Theses
"End-to-end delay plays a very important role in wireless sensor networks. It refers to the total time taken for a single packet to be transmitted across a network from source to destination. There are many factors could affect the end-to-end delay, among them the routing path and the interference level along the path are the two basic elements that could have significant influence on the result of the end-to-end delay. This thesis presents a transmission scheduling scheme that minimizes the end-to-end delay when the node topology is given. The transmission scheduling scheme is designed based on integer linear programming and …
Cloud Security Requirements Analysis And Security Policy Development Using A High-Order Object-Oriented Modeling Technique, Kenneth Kofi Fletcher
Cloud Security Requirements Analysis And Security Policy Development Using A High-Order Object-Oriented Modeling Technique, Kenneth Kofi Fletcher
Masters Theses
"Security continues to be a major challenge for cloud computing, and it is one that must be addressed if cloud computing is to be fully accepted. Most technological means of securing non-cloud computing systems can be either applied directly or modified to secure a cloud; however, no integrated model-based methodology is yet available to analyze cloud security requirements and develop policy to deal with both internal and external security challenges. This work proposes just such a methodology and demonstrates its application with specific cases. Cloud assets are represented by high order object models, and misuse cases together with malactivity swimlane …
Event Detection From Click-Through Data Via Query Clustering, Prabhu Kumar Angajala
Event Detection From Click-Through Data Via Query Clustering, Prabhu Kumar Angajala
Masters Theses
"The web is an index of real-world events and lot of knowledge can be mined from the web resources and their derivatives. Event detection is one recent research topic triggered from the domain of web data mining with the increasing popularity of search engines. In the visitor-centric approach, the click-through data generated by the web search engines is the start up resource with the intuition: often such data is event-driven. In this thesis, a retrospective algorithm is proposed to detect such real-world events from the click-through data. This approach differs from the existing work as it: (i) considers the click-through …
Population Control In Evolutionary Algorithms, Jason Edward Cook
Population Control In Evolutionary Algorithms, Jason Edward Cook
Masters Theses
"Traditional evolutionary algorithms (EAs) are powerful robust problem solvers that have several fixed parameters which require prior specification. Having to determine good values for any of these parameters can be problematic, as the performance of EAs is generally very sensitive to these parameters, requiring expert knowledge to set optimally without extensive use of trial and error. Parameter control is a promising approach to achieving this automation and has the added potential of increasing EA performance based on both theoretical and empirical evidence that the optimal values of EA strategy parameters change during the course of executing an evolutionary run. While …
Multi Axis Slicing For Rapid Prototyping, Divya Kanakanala
Multi Axis Slicing For Rapid Prototyping, Divya Kanakanala
Masters Theses
"With multi-axis capability, direct laser deposition process can produce a metal part without the usage of support structures. In order to fully utilize such a capability, a slicing method for multi-axis metal deposition process is discussed. Using the geometry information of adjacent layers, the slicing direction and layer thickness can be changed as needed. A hierarchy structure is designed to manage the topological information which is used to determine the slicing sequence. The parallel slicing process is studied to build hollow type structure. With such a character, the hole like feature can be deposited directly to save the required machining …
Dynamic Ant Colony Optimization For Globally Optimizing Consumer Preferences, Pavitra Dhruvanarayana
Dynamic Ant Colony Optimization For Globally Optimizing Consumer Preferences, Pavitra Dhruvanarayana
Masters Theses
"Consumer preference for any product or product feature can be expressed in the form of a utility function. Many such utility functions form a part of a preference map, where each of these are expressed in terms of the attributes defining the product or the product feature. In order to optimize the design, it is required to optimize the overall utility function obtained by a mathematical combination of individual utility functions defined in the preference map. The objective of this research is to devise and implement an algorithm to optimize all the individual utility functions comprised in a preference map …
Developing A Model For Evaluating Software Tools In Education, Vedant Jain
Developing A Model For Evaluating Software Tools In Education, Vedant Jain
Masters Theses
"This thesis proposes a research model to evaluate computer-mediated learning technology, user acceptance of the technology, and the effect of the technology on learning outcomes. This thesis also introduces two innovative research techniques for such evaluations, that is, eye-tracking and the think aloud protocol. Think aloud protocol allows us to understand a user's state of mind while he/she is interacting with the system. Eye-tracking provides additional insights into a user's cognitive state while using the system and can help triangulate the results. We demonstrated the application of the research model and research techniques in evaluating visualization software designed in a …
Impact Of Management Status, Gender, And Level Of Project Involvement On Corporate Governance In A Role-Based Enterprise Portal Environment, Daniel Augusto Pereira Brás Sequeira
Impact Of Management Status, Gender, And Level Of Project Involvement On Corporate Governance In A Role-Based Enterprise Portal Environment, Daniel Augusto Pereira Brás Sequeira
Masters Theses
"The underlying objective of this research project is to investigate the impact of management status, gender, and level of project involvement on corporate governance in a role-based enterprise portal environment. This is achieved through a case study which included the development of a role-based enterprise portal site prototype assessed through surveys targeted at different stakeholders at the case company. Six hypotheses were formulated addressing the core research question. The outcomes of the hypotheses testing suggest employees' perceptions of role-based enterprise portal's effectiveness, usability, and corporate identity design are, in general, not influenced by the employees' management role, gender, and project …
Assessing The Application Of 3d Collaborative Interfaces Within An Immersive Virtual University, Gavin Mcardle, Bianca Schoen-Phelan, Michela Bortolotto
Assessing The Application Of 3d Collaborative Interfaces Within An Immersive Virtual University, Gavin Mcardle, Bianca Schoen-Phelan, Michela Bortolotto
Articles
The need to stimulate and engage students is of paramount importance within any learning scenario. Despite this, recent developments in online learning have failed to take this requirement into account. As a result e-learning courses which utilise traditional online learning management systems have a higher dropout rate than their classroom based counterparts. The attrition rate is attributed to boredom with the interfaces used to deliver learning material and also to the lack of opportunities to interact socially with others. Furthermore, being in a virtual environment imposes a whole new set of challenges onto users due to the distinct lack of …
Enhancing 3d Lidar Data Handling, Debra Laefer, Michela Bertolotto, Bianca Schoen-Phelan
Enhancing 3d Lidar Data Handling, Debra Laefer, Michela Bertolotto, Bianca Schoen-Phelan
Articles
more evident than in the limited capabilities of Spatial Information Systems (SIS) to manipulate data from aerial Light Detection and Ranging (LiDAR). Currently, multiple software packages are needed to conduct three-dimensional (3D) analysis of LiDAR data. This workflow heavily relies on importing and exporting different file formats, thus potentially losing accuracy and increasing costs. Ideally, all required functionality would be available within a single system. New functionalities in Oracle Spatial combined with our enhanced 3D-indexing for hosting and analysing offer a critical breakthrough in this area.
Motion In Augmented Reality Games: An Engine For Creating Plausible Physical Interactions In Augmented Reality Games, Brian Mac Namee, David Beaney, Qingqing Dong
Motion In Augmented Reality Games: An Engine For Creating Plausible Physical Interactions In Augmented Reality Games, Brian Mac Namee, David Beaney, Qingqing Dong
Articles
The next generation of Augmented Reality (AR) games will require real and virtual objects to coexist in motion in immersive game environments. This will require the illusion that real and virtual objects interact physically together in a plausible way. The Motion in Augmented Reality Games (MARG) engine described in this paper has been developed to allow these kinds of game environments. The paper describes the design and implementation of the MARG engine and presents two proof-of-concept AR games that have been developed using it. Evaluations of these games have been performed and are presented to show that the MARG engine …
Scalable Multi-Modal Avatar Interface For Multi-User Environments, Brian Mac Namee, Mark Dunne, John D. Kelleher
Scalable Multi-Modal Avatar Interface For Multi-User Environments, Brian Mac Namee, Mark Dunne, John D. Kelleher
Conference papers
This research outlines an Intelligent Virtual Agent (IVA) interface, where multiple users will be able to interact with 3D avatars. This will take place in a distributed multi-modal environ- ment where the LOK8 Avatar System (AS) will need to locate it’s users from a crowd, using face tracking and novel 3D animation techniques.
Cbtv: Visualising Case Bases For Similarity Measure Design And Selection, Brian Mac Namee, Sarah Jane Delany
Cbtv: Visualising Case Bases For Similarity Measure Design And Selection, Brian Mac Namee, Sarah Jane Delany
Conference papers
In CBR the design and selection of similarity measures is paramount. Selection can benefit from the use of exploratory visualisation- based techniques in parallel with techniques such as cross-validation ac- curacy comparison. In this paper we present the Case Base Topology Viewer (CBTV) which allows the application of different similarity mea- sures to a case base to be visualised so that system designers can explore the case base and the associated decision boundary space. We show, using a range of datasets and similarity measure types, how the idiosyncrasies of particular similarity measures can be illustrated and compared in CBTV allowing …
Inside The Selection Box: Visualising Active Learning Selection Strategies, Brian Mac Namee, Rong Hu, Sarah Jane Delany
Inside The Selection Box: Visualising Active Learning Selection Strategies, Brian Mac Namee, Rong Hu, Sarah Jane Delany
Conference papers
Visualisations can be used to provide developers with insights into the inner workings of interactive machine learning techniques. In active learning, an inherently interactive machine learning technique, the design of selection strategies is the key research question and this paper demonstrates how spring model based visualisations can be used to provide insight into the precise operation of various selection strategies. Using sample datasets, this paper provides detailed examples of the differences between a range of selection strategies.
Tunepal: The Traditional Musician's Toolbox, Bryan Duggan
Tunepal: The Traditional Musician's Toolbox, Bryan Duggan
Conference papers
In this paper we present Tunepal, a search engine and music retrieval tool for traditional musicians that runs on an iPhone/iPod Touch (2nd generation)/iPad. Tunepal connects musicians the scores and metadata of 13,290 traditional Irish, Welsh, Scottish and Breton dance tunes. These tunes are drawn from community sources, such as the website thesession.org and “standard” references including O’Neills Dance Music of Ireland and Brendan Breathneach’s Ceol Rince Na hÉireann series. Tunes can be retrieved by typing in a title or by playing a twelve second extract from the tune on a traditional instrument. Tunepal can be used in sitiu in …
Exploring The Frontier Of Uncertainty Space, Rong Hu, Patrick Lindstrom, Sarah Jane Delany, Brian Mac Namee
Exploring The Frontier Of Uncertainty Space, Rong Hu, Patrick Lindstrom, Sarah Jane Delany, Brian Mac Namee
Conference papers
We aim to investigate methods balancing exploitation with exploration in active learning to improve the performance of uncertainty sampling. Two exploration guided sampling methods are compared to uncertainty sampling on various real-life datasets from the 2010 Active Learning Challenge. Our initial experiments seems to indicate that combining exploration with uncertainty sampling improves performance on certain datasets but not all.
Svm Based Active Learning With Exploration, Patrick Lindstrom, Rong Hu, Sarah Jane Delany, Brian Mac Namee
Svm Based Active Learning With Exploration, Patrick Lindstrom, Rong Hu, Sarah Jane Delany, Brian Mac Namee
Conference papers
No abstract provided.
Egal: Exploration Guided Active Learning For Tcbr, Rong Hu, Sarah Jane Delany, Brian Mac Namee
Egal: Exploration Guided Active Learning For Tcbr, Rong Hu, Sarah Jane Delany, Brian Mac Namee
Conference papers
The task of building labelled case bases can be approached using active learning (AL), a process which facilitates the labelling of large collections of examples with minimal manual labelling effort. The main challenge in designing AL systems is the development of a selection strategy to choose the most informative examples to manually label. Typical selection strategies use exploitation techniques which attempt to refine uncertain areas of the decision space based on the output of a classifier. Other approaches tend to balance exploitation with exploration, selecting examples from dense and interesting regions of the domain space. In this paper we present …
An Empirically-Based Model For Perspective Selection In Route-Finding Dialogues, Robert J. Ross, Kavita E. Thomas
An Empirically-Based Model For Perspective Selection In Route-Finding Dialogues, Robert J. Ross, Kavita E. Thomas
Conference papers
In this work we aim to computationally model the extent to which certain empirical factors affect spatial perspective selection as used in route-finding dialogues. In such dialogues, both interlocutors need to adopt a spatial perspective in which to describe movement direction. In map-based tasks such as the one we are concerned with, two perspective choices are typically available, i.e., route perspective, where projective terms are defined with respect to the perspective of the route follower themselves, e.g., ``go to your right'', or survey perspective, where projective terms are defined with respect to a global or allocentric perspective, e.g., ``go down'', …
Cognitive Effort For Multi Agent Systems, Luca Longo
Cognitive Effort For Multi Agent Systems, Luca Longo
Conference papers
Cognitive Effort is a multi-faceted phenomenon that has suffered from an imperfect understanding, an informal use in everyday life and numerous definitions. This paper attempts to clarify the concept, along with some of the main influencing factors, by presenting a possible heuristic formalism intended to be implemented as a computational concept, and therefore be embedded in an artificial agent capable of cognitive effort-based decision support. Its applicability in the domain of Artificial Intelligence and Multi-Agent Systems is discussed. The technical challenge of this contribution is to start an active discussion towards the formalisation of Cognitive Effort and its application in …
A Comparison Of Computer-Based Training And Traditional Classroom Training For The Sad Corporation Job Placement Team, Janice Brown Adams
A Comparison Of Computer-Based Training And Traditional Classroom Training For The Sad Corporation Job Placement Team, Janice Brown Adams
Dissertations
Purpose: The purpose of this research study was to compare the effectiveness of computer-based training with traditional classroom training; both instructional delivery methods utilized the traditional classroom curriculum as a means of delivery for an on-the-job company-sponsored program. The JAW-SAD Human Resource Center (HRC) is a training facility for the SAD Corporation, a major international manufacturing company. The HRC is responsible for conducting continuous training and certification of SAD employees. Historically, training has been provided through conference workshops with a traditional classroom training format. The motivation and importance for this study was influenced by an administrative requirement to determine the …
Single View Reconstruction For Human Face And Motion With Priors, Xianwang Wang
Single View Reconstruction For Human Face And Motion With Priors, Xianwang Wang
University of Kentucky Doctoral Dissertations
Single view reconstruction is fundamentally an under-constrained problem. We aim to develop new approaches to model human face and motion with model priors that restrict the space of possible solutions. First, we develop a novel approach to recover the 3D shape from a single view image under challenging conditions, such as large variations in illumination and pose. The problem is addressed by employing the techniques of non-linear manifold embedding and alignment. Specifically, the local image models for each patch of facial images and the local surface models for each patch of 3D shape are learned using a non-linear dimensionality reduction …
A Trusted Storage System For The Cloud, Sushama Karumanchi
A Trusted Storage System For The Cloud, Sushama Karumanchi
University of Kentucky Master's Theses
Data stored in third party storage systems like the cloud might not be secure since confidentiality and integrity of data are not guaranteed. Though cloud computing provides cost-effective storage services, it is a third party service and so, a client cannot trust the cloud service provider to store its data securely within the cloud. Hence, many organizations and users may not be willing to use the cloud services to store their data in the cloud until certain security guarantees are made. In this thesis, a solution to the problem of securely storing the client’s data by maintaining the confidentiality and …
Security In Ad Hoc Networks And Pervasive Computing, Isaac Z. Wu, X.-Y. Li, M. Song, C.-M. Liu
Security In Ad Hoc Networks And Pervasive Computing, Isaac Z. Wu, X.-Y. Li, M. Song, C.-M. Liu
Electrical & Computer Engineering Faculty Publications
Pervasive computing is an exciting and blooming research field, in which innovative techniques and applications are continuously emerging and aim to provide ambient and personalized services to users with high quality. Ad hoc networks are wireless, self-organizing systems formed by cooperating nodes within communication range of each other that form temporary networks. Their topology is dynamic, decentralized, ever changing and the nodes may move around arbitrarily. The last few years have witnessed a wealth of research ideas on ad hoc networking that are moving rapidly into implemented standards. Technology under development for ad hoc networks and pervasive computing is making …
Website Accessibility Issues In Western Australian Public Libraries, Vivienne L. Conway
Website Accessibility Issues In Western Australian Public Libraries, Vivienne L. Conway
Theses : Honours
Website accessibility is a very real and pressing issue for public libraries internationally. Tim Berners-Lee credited with founding the Web, states "The power of the Web is in its universality. Access by everyone regardless of disability is an essential aspect." (Henry & McGee, 2010). There is wide-spread support for adherence to the Web Content Advisory Guidelines Version 1.0 and 2.0 (WCAG) throughout Federal, State and Local levels of government in Australia. The Guidelines have also been affirmed by the Australian Human Rights Commission, disability advocacy groups such as Vision Australia, and the Australian Library and Information Association. The Australian Government …
Morphing Of Triangular Meshes In Shape Space, Stefanie Wuhrer, Prosenjit Bose, Chang Shu, Joseph O'Rourke, Alan Brunton
Morphing Of Triangular Meshes In Shape Space, Stefanie Wuhrer, Prosenjit Bose, Chang Shu, Joseph O'Rourke, Alan Brunton
Computer Science: Faculty Publications
We present a novel approach to morph between two isometric poses of the same non-rigid object given as triangular meshes. We model the morphs as linear interpolations in a suitable shape space S. For triangulated 3D polygons, we prove that interpolating linearly in this shape space corresponds to the most isometric morph in R3 . We then extend this shape space to arbitrary triangulations in 3D using a heuristic approach and show the practical use of the approach using experiments. Furthermore, we discuss a modified shape space that is useful for isometric skeleton morphing. All of the newly presented …
How Far Can You Reach?, Ciprian Borcea, Ileana Streinu
How Far Can You Reach?, Ciprian Borcea, Ileana Streinu
Computer Science: Faculty Publications
The problem of computing the maximum reach configurations of a 3D revolute-jointed manipulator is a long-standing open problem in robotics. In this paper we present an optimal algorithmic solution for orthogonal polygonal chains. This appears as a special case of a larger family, fully characterized here by a technical condition. Until now, in spite of the practical importance of the problem, only numerical optimization heuristics were available, with no guarantee of obtaining the global maximum. In fact, the problem was not even known to be computationally solvable, and in practice, the numerical heuristics were applicable only to small problem sizes. …
Arabic For Designers By Mourad Boutros, Saad D. Abulhab
Arabic For Designers By Mourad Boutros, Saad D. Abulhab
Publications and Research
No abstract provided.
Reinforcement Learning Based Strategies For Adaptive Wireless Sensor Network Management, Kunalbhai Shah
Reinforcement Learning Based Strategies For Adaptive Wireless Sensor Network Management, Kunalbhai Shah
Computer Science and Engineering Dissertations - Archive
In wireless sensor networks (WSN), resource-constrained nodes are expected to operate in highly dynamic and often unattended environments. WSN applications need to cope with such dynamicity and uncertainty intrinsic in sensor networks, while simultaneously trying to achieve efficient resource utilization. A middleware framework with support for autonomous, adaptive and distributed sensor management, can simplify development of such WSN applications. We present a reinforcement learning based WSN middleware framework to enable autonomous and adaptive applications with support for efficient resource management. The uniqueness of our framework lies in using a bottom-up approach where each sensor node is responsible for its resource …