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The following is a thesis for a Master's degree in Electrical Engineering. It presents the design of an FPGA coprocessor for real-time bathymetric synthetic aperture sonar. Bathymetry is the process of finding the height of the seafloor; a problem that requires the computation of a large number of short-length correlations and runs slowly on a conventional microprocessor architecture. It is desirable to generate the seafloor bathymetry in real time for use as a visual aid during data gathering, thus the development of a customised coprocessor is required. The design presented utilises the system-on-chip (SoC) approach to FPGA programming, with a microprocessor, memory, communication cores and custom hardware all contained within a single chip. The merits of SoC design are examined and the details of this implementation are presented. The coprocessor communicates with a host computer over a USB link, receiving raw data as it is collected and sending processed data back to be displayed on-screen. The system was successful as a proof-of-concept, capable of processing an eighth of the area imaged by the sonar in real-time. The results for a simulated scene are presented and the performance of the current system examined with a view to improving its capabilities. While further work is required to implement a complete solution to the problem, the work carried out thus far has provided a solid base for future research.

Obesity and being overweight have become growing concerns due to their association with many diseases, such as type II diabetes, several types of cancer and heart disease. Thus, obesity treatments have been the focus of a large number of recent studies. Because of these studies, researchers have found that the treatment of obesity and being overweight requires constant monitoring of the patient’s diet. Therefore, measuring food intake each day is considered an important step in the success of a healthy diet. Measuring daily food consumption for obese patients is one of the challenges in obesity management studies. Countless recent studies have suggested that using technology like smartphones may enhance the under-reporting issue in dietary intake consumption. In this thesis, we propose a Food Recognition System (FRS) for calories and nutrient values assumption. The user employs the built-in camera of the smartphone to take a picture of any food before and after eating. The system then processes and classifies the images to detect the type of food and portion size, then uses the information to estimate the number of calories in the food. The estimation and calculation of the food volume and amount of calories in the image is an essential step in our system. Via special approaches, the FRS can estimate the food volume and the existing calories with a high level of accuracy. Our experiment shows high reliability and accuracy of this approach, with less than 15% error.

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Thesis (M.E. Physics and Electronic Engineering)--University of Waikato, 2006. / Includes bibliographical references (p. 71-73) Also available via the World Wide Web.

Thesis (M.S.)--University of Missouri--Rolla, 2007. / Vita. The entire thesis text is included in file. Title from title screen of thesis/dissertation PDF file (viewed February 4, 2008) Includes bibliographical references (p. 65-69).

Thesis (M.S.)--Rochester Institute of Technology, 1988. / Includes bibliographical references (leaf 66).

Thesis (M.S.)--Rochester Institute of Technology, 1990. / Spine title: Thermal IR scene simulation system. "References": leaves 70-74.

Thesis (Ph. D.)--West Virginia University, 2008. / Title from document title page. Document formatted into pages; contains x, 145 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 136-145).