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This paper describes the results of the analysis of specific ‘corner detection’ algorithms within a Machine Vision approach for the problem of aerial refueling for unmanned aerial vehicles. Specifically, the performances of the SUSAN and the Harris corner detection algorithms have been compared. A critical goal of this study was to evaluate the interface of(More)
This paper describes the design of a Real Time Machine-Vision (MV) Position Sensing System for the problem of Semi-Autonomous Docking within Aerial Refueling (AR) for Unmanned Aerial Vehicles (UAVs). In this effort, techniques and algorithms have been developed and extensively tested in the MATLAB/Simulink® Soft Real-Time environment as well as in(More)
The acute effects of ethanol on plasma atrial natriuretic peptide levels were investigated in 4 clinically healthy males, aged 24-26 years, consumed either 750 ml of water as a control study, or the same beverage with 1 ml/kg alcohol added, which increased the plasma alcohol concentration to 99.12 +/- 15.10 mg/dl at 60 min. Plasma atrial natriuretic peptide(More)
Deterministic photochemical air quality models are commonly used for regulatory management and planning of urban airsheds. These models are complex, computer intensive, and hence are prohibitively expensive for routine air quality predictions. Stochastic methods are becoming increasingly popular as an alternative, which relegate decision making to(More)
This paper describes the results of a study focused on the evaluation of the performance of specific algorithms for the “point matching” task within the general problem of applying machine vision-based control laws for the problem of aerial refueling (AR) for UAVs. Two different point matching algorithms for the identification of the corner-points of the(More)
This paper focuses on the analysis of the performance of specific 'detection and labeling' and 'pose estimation' algorithms within a machine vision (MV)-based approach for the problem of autonomous aerial refueling (AAR) of UAVs. A robust 'detection and labeling algorithm' for the correct identification and sorting of the optical markers is proposed; a(More)
—The application of optical flow algorithms to guidance and navigation problems has gained considerable interest in recent years. This paper summarizes the results of a comparative study on the accuracy of nine different optical flow (OF) algorithms using videos that are captured from an on-board camera during the flight of an autonomous aircraft model. The(More)
In the last decade an increasing number of antibodies have made their way from the research benchtops into the clinics and many more are currently under clinical trial. Among monoclonal antibody-producing techniques, phage-display is undoubtedly the most effective and versatile. Cloning of the entire humoral repertoire derived from an infected patients into(More)
Evaluating the bounding set of dynamic systems subject to direct neural-adaptive control is a critical issue in applications where the control system must undergo a rigorous verification process in order to comply with certification standards. In this paper, the boundedness problem is addressed for a comprehensive class of uncertain dynamic systems. Several(More)