This study defines a new approach for building a Web Services based infrastructure for distributed data mining applications. The proposed architecture provides a roadmap for "autonomic" functionality of the infrastructure hiding the...
Images, Photographic--Databases; Image processing--Digital techniques; Data mining; Cluster analysis
The performance of content-based image retrieval systems has proved to be inherently constrained by the used low level features, and cannot give satisfactory results when the user's high level concepts cannot be expressed by low level features. In...
To manage large image databases, Content-Based Image Retrieval (CBIR) emerged as a new research subject. CBIR involves the development of automated methods to use visual features in searching and retrieving. Unfortunately, the performance of most...
The management of power and the optimization of systems generating and using power are critical technologies. A new architecture is developed to advance the current state of the art by providing an intelligent and autonomous solution for power...
From a computerized image analysis prospective, early diagnosis of lung cancer involves detection of doubtful nodules and classification into different pathologies. The detection stage involves a detection approach, usually by template matching,...
Many important applications require the discovery of items which have occurred frequently. Knowledge of these items is commonly used in anomaly detection and network monitoring tasks. Effective solutions for this problem focus mainly on reducing...
Pattern perception--Data processing; Pattern recognition systems; Land mines--Detection; Data mining
For complex detection and classification problems, involving data with large intra-class variations and noisy inputs, no single source of information can provide a satisfactory solution. As a result, combination of multiple classifiers is playing...
English language--Study and teaching--Foreign speakers--Case studies; English language--Study and teaching--Kentucky--Louisville
This thesis examined the structure and processes of several different organizations that offer English as a Second Language (ESL) classes in one Kentucky county. The purpose of the study was to analyze the structure of the organizations, and then...
In this work, micro fabrication techniques are explored not only to simplify the production of complex lab on-a-chip devices (LOC), but also micro fabrication will be utilized to create intelligent design features that will enhance an...
Teaching--Methodology; Universities and colleges--Faculty--Attitudes
Conceptions of teaching and learning held by faculty in higher education broadly reflect two dominant approaches, those that are teacher-focused and content oriented, and those that are student-focused and learner oriented (Entwistle, Skinner,...
For complex classification systems, data is usually gathered from multiple sources of information that have varying degree of reliability. In fact, assuming that the different sources have the same relevance in describing all the data might lead to...
Type 2 diabetes presents a public health crisis and a global pandemic. Successful management of diabetes requires engagement in a daily regimen of self-care behaviors to achieve optimal glycemic control and to reduce the severity of...
Electromyography; Spinal cord--Wounds and injuries
Introduction: Approximately 12,000 new cases of spinal cord injury (SCI) are reported each year in the US. Currently, the most widely used method of assessing the recovery of voluntary capability after spinal cord injury is the American Spinal...
Grading and marking (Students)--Data processing; Discourse analysis--Data processing; Instructional systems--Design
In recent years the use of Tablet PCs in education has received a great deal of attention. Improved note-taking and lecture presentation have been the main focus of Tablet PCs in education. Currently, grading of student work collected as digital...
The advent of larger storage spaces, affordable digital capturing devices, and an ever growing online community dedicated to sharing images has created a great need for efficient analysis methods. In fact, analyzing images for the purpose of...
Pattern recognition systems; Cluster analysis; Data mining
Despite the large number of existing clustering methods, clustering remains a challenging task especially when the structure of the data does not correspond to easily separable categories, and when clusters vary in size, density and shape. Existing...
Rootkits are stealthy, malicious software that allow an attacker to gain and maintain control of a system, attack other systems, destroy evidence, and decrease the chance of detection. Existing detection methods typically rely on a priori knowledge...
Computer vision; Pattern recognition systems; Human face recognition (Computer science)
Humans have the uncanny ability to perceive the world in three dimensions (3D), otherwise known as depth perception. The amazing thing about this ability to determine distances is that it depends only on a simple two-dimensional (2D) image in the...
This dissertation addresses two different problems: 1) coronal loop detection from solar images: and 2) salient contour group extraction from cluttered images. In the first part, we propose two different solutions to the coronal loop detection...
