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The quantification of abundance, distribution, and movement of fish is critical to ecological and environmental studies of fish communities. To properly manage, regulate, and protect migratory fisheries it is essential to accurately monitor numbers, size, and species of fish at specific fish passages during migratory seasons. Currently, all monitoring is done manually with significant time and financial constraints. An automated fish classirkation system will simplify data gathering and improve data accuracy.In this research, 22 images of 9 target species were recorded. The contour of each image was extracted to form a closed curve for shape analysis. A new shape analysis algorithm was developed for removing edge noise and redundant data points such as short straight lines. A curvature function analysis was used to locate critical landmark points. The fish contour segments of interest were then extracted based on these landmark points for species classification. By comparing individual contour segments to the curve in the database, accurate pattern matching was achieved.

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Detection of intrusions for early threat assessment requires the capability of distinguishing whether the intrusion is a human, an animal, or other objects. Most low-cost security systems use simple electronic motion detection sensors to monitor motion or the location of objects within the perimeter. Although cost effective, these systems suffer from high rates of false alarm, especially when monitoring open environments. Any moving objects including animals can falsely trigger the security system. Other security systems that utilize video equipment require human interpretation of the scene in order to make real-time threat assessment. Shape-based human detection technique has been developed for accurate early threat assessments for open and remote environment. Potential threats are isolated from the static background scene using differential motion analysis and contours of the intruding objects are extracted for shape analysis. Contour points are simplified by removing redundant points connecting short and straight line segments and preserving only those with shape significance. Contours are represented in tangent space for comparison with shapes stored in database. Power cepstrum technique has been developed to search for the best matched contour in database and to distinguish a human from other objects from different viewing angles and distances.

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A new technique for determining Field Point Velocities around a propeller using Laser Doppler Anemometry. The details of the technique plus the selected results of three experiments are presented. The results presented show field point velocities around a skewed propeller and around a tandem propeller. The skewed propeller was tested both in uniform inflow and in the axisymmetric wake. The first demonstrated the technique’s accuracy by comparing it favorably to computer potential flow predictions. The second test demonstrated the ability of the new technique to study small-scale features, specifically tip forces in detail. The tandem propeller was tested in two different configurations, both in uniform inflow. This demonstrated the agility of the new technique to d large quantity testing over large areas.