Computer Engineering Commons^™

Synthetic Aperture Ladar Automatic Target Recognizer Design And Performance Prediction Via Geometric Properties Of Targets, Jacob W. Ross

Browse all Theses and Dissertations

Synthetic Aperture LADAR (SAL) has several phenomenology differences from Synthetic Aperture RADAR (SAR) making it a promising candidate for automatic target recognition (ATR) purposes. The diffuse nature of SAL results in more pixels on target. Optical wavelengths offers centimeter class resolution with an aperture baseline that is 10,000 times smaller than an SAR baseline. While diffuse scattering and optical wavelengths have several advantages, there are also a number of challenges. The diffuse nature of SAL leads to a more pronounced speckle effect than in the SAR case. Optical wavelengths are more susceptible to atmospheric noise, leading to distortions in formed …

Energy Demand Response For High-Performance Computing Systems, Kishwar Ahmed

FIU Electronic Theses and Dissertations

The growing computational demand of scientific applications has greatly motivated the development of large-scale high-performance computing (HPC) systems in the past decade. To accommodate the increasing demand of applications, HPC systems have been going through dramatic architectural changes (e.g., introduction of many-core and multi-core systems, rapid growth of complex interconnection network for efficient communication between thousands of nodes), as well as significant increase in size (e.g., modern supercomputers consist of hundreds of thousands of nodes). With such changes in architecture and size, the energy consumption by these systems has increased significantly. With the advent of exascale supercomputers in the next …

Validating The Representativeness Of Test Samples For Performance Prediction Of Face Recognition, Jason Hooks

Graduate Theses, Dissertations, and Problem Reports

One of the reasons testing biometric systems is difficult lays in the fact that the test sample available during technology evaluation may not be sufficiently similar to the usage profile that the system will encounter in operations. As the result, performance expectations derived from testing prior to system deployment may not match actual performance after the deployment. A specific instance of this problem occurs when the data from the field in which biometric system will be deployed is sequestered.

In this study, we simulated the stated scenario using two datasets, originally claimed to be similar and adequate for performance prediction; …