Given a metric space (K, d), the hyperspace of K is defined by H(K) = {F c K: F is compact, F ≠ 0}. H(K) is itself a metric space under the Hausdorff metric dH. Hyperspaces have been extensively studied by topologists since the 1970's, but the...
Outerplanar graphs are planar graphs that have a plane embedding in which each vertex lies on the boundary of the exterior region. An outerplanar graph is maximal outerplanar if the graph obtained by adding an edge is not outerplanar. Maximal...
DNA microarrays--Statistical methods; Gene expression--Statistical methods
Data derived from gene expression microarrays are frequently used to identify candidate genes which can characterize and distinguish between two biological phenotypes. A key step in this process is the selection of an appropriate test statistic to...
The purpose of this study was to compare the differences between 2 sets of ballistic stretching and 2 sets of a dynamic stretching routine on vertical jump performance. The intraclass reliability coefficients for maximum jump height, force, and...
A common problem faced by most organizations in today's world is one of worker-task assignments. Assigning a large number of complex tasks to workers at various training levels can be a complicated process which has the potential to cost or to save...
Colorectal cancer is the fourth most common cancer, and the fourth leading cause of cancer related death in the United States. It also happens to be one of the most preventable cancers provided an individual performs a regular screening. For years...
Blind--Education--Arithmetic; Arithmetic--Study and teaching--Data processing; Speech synthesis
The design and development of a microprocessor-controlled mathematics trainer is described. The trainer is designed primarily for a blind student, and uses synthetic speech to verbally present mathematics problems in the form of incomplete...
Personnel scheduling is a problem faced by many organizations in the healthcare industry,
particularly in rapidly developing outpatient centers. The task of creating a schedule that
adequately covers patient demand while satisfying the preferences...
The area of Knowledge discovery and data mining is growing rapidly. Feature Discretization is a crucial issue in Knowledge Discovery in Databases (KDD), or Data Mining because most data sets used in real world applications have features with...
Ozone forecast models using nonlinear regression (NLR) have been successfully applied to daily ozone forecast for seven metro areas in Kentucky, including Ashland, Bowling Green, Covington, Lexington, Louisville, Owensboro, and Paducah. In this...
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...
Estimating and analysis of deformation, either rigid or non-rigid, is an active area of research in various medical imaging and computer vision applications. Its importance stems from the inherent inter- and intra-variability in biological and...
Heuristic; Production management; Personnel management--Data processing
The Naval Surface Warfare Center wishes to create a task assignment schedule
with a minimal training cost for workers to raise their skills to the required levels. As the
number of workers, skills, and tasks increase, the problem quickly becomes...
Heart--Diseases--Diagnosis; Diagnostic imaging; Magnetic resonance imaging; Imaging systems in medicine
Many cardiac diseases, such as myocardial ischemia, secondary to coronary artery disease, may be identified and localized through the analysis of cardiac deformations. Early efforts for quantifying ventricular wall motion used surgical implantation...
Medical records--Data processing; Data mining; Databases--Design
A major problem with integrating information from multiple databases is that the same data objects can exist in inconsistent data formats across databases and a variety of attribute variations, making it difficult to identify matching objects using...
The game of Snake has been selected to provide a unique application of the
TD( ) algorithm as proposed by Sutton. A reinforcement learning technique for
producing computer controlled players is documented. Using value function
approximation with...
Optimizing queries in a distributed database is quite difficult. This work proposes defining new generalized quantifiers which operate on sets rather than tuples. These quantifiers would allow for easier optimization in a horizontally distributed...
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...
Xenoestrogens are spread throughout the environment affecting our daily
lives and may produce potential toxic effects on human health. The purpose of
this study was to develop a mechanistically reliable model capable of identifying
xenoestrogens....
Swarm Intelligence (SI) techniques were inspired by bee swarms, ant colonies, and most
recently, bird flocks. Flock-based Swarm Intelligence (FSI) has several unique features, namely
decentralized control, collaborative learning, high exploration...
