Engineering Commons^™

Toward Automated Detection And Diagnosis Of Mammographic Microcalcifications, Imad Mohammad Zyout

Dissertations

Mammographie diagnosis is the most effective technique to detect breast cancer in its infancy when it is most responsive to treatment. An early and a significant indicator of breast cancer is the presence of clustered microcalcifications (MCs). Mammographie MCs greatly vary in their appearance and shape, and become indistinguishable when surrounded by dense breast tissue. This makes radiologist's interpretation of mammograms a tedious and an error prone task.

Although computer aided diagnosis (CAD) methods are being developed to aid radiologist in detecting and analyzing the malignancy of MCs, existing systems have not achieved a satisfactory performance. The specificity of existing …

An Automated Framework For Defect Detection In Concrete Bridge Decks Using Fractals And Independent Component Analysis, Fadi Abu-Amara

Dissertations

Bridge decks deteriorate over time as a result of deicing salts, freezing-andthawing, and heavy use, resulting in internal defects. According to a 2006 study by the American Society of Civil Engineers, 29% of bridges in the United States are considered structurally deficient or functionally obsolete. Ground penetrating radar (GPR) is a promising non-destructive evaluation technique for assessing subsurface conditions of bridge decks. However, the analysis of GPR scans is typically done manually, where the accuracy of the detection process depends on the technician's trained eye. In this work, a framework is developed to automate the detection, localization, and characterization of …

Pattern Recognition For Fault Detection, Classification, And Localization In Electrical Power Systems, Qais Hashim Alsafasfeh

Dissertations

The longer it takes to identify and repair a fault, the more damage may result in the electrical power system, especially in periods of peak loads, which could lead to the collapse of the system, causing the power outage to extend for a longer period and larger parts of the electrical network. Reducing the outage time and immediate restoration of service can be achieved if the fault type and location are determined in a timely and precise manner.

An integrated algorithm that is based on generating unique signatures from the electric current signal to detect, classify, and localize a fault …

Design Of Adaptive Collective Foraging In Swarm Robotic Systems, Hanyi Dai

Dissertations

Inspired by the collective behavior observed in biological colonies, swarm robotics is a new approach to design a distributed control algorithm in order to coordinate a group of simple robots performing a complex group task. With only limited computation and communication ability of individual robots, one of the challenges in designing such multi-robotic systems is to understand the effect of individual robots behavior on the group performance. This thesis dedicates the research to designing a set of local interaction and adaptation rule for individual robots so that optimized collective foraging performance can be achieved at group level.

The research starts …

2009/10 Research, Development, And Activities, College Of Engineering And Applied Sciences

Electrical and Computer Engineering Newsletter

• Design of iPhone Game Applications for the Eyes on the Earth Initiative
• Printed Electronics Research and Sensor Development
• Dual-Use Ground Vehicle Condition-Based Maintenance
• TS-Type Fuzzy Automaton for Software Agents
• NEW DEAN – College of Engineering & Applied Sciences
• Nonlinear Circuits and Systems Laboratory
• ECE supporting Sunseeker Solar Rayce Team
• DOE Strategic Training and Education in Power Systems (STEPS) Funding