The evaluation of vision systems is not possible without parameter control as incorrect parameter adjustment can cause performance losses that are more signiicant than the eeect of the component being tested. In this paper we present a model for the contour extraction process and derive from it a method for automatic parameter control. The method works with arbitrary edge detectors, edge types ...

For photoacoustic imaging, usually point-like detectors are used. As a special sensing technology for photoacoustic imaging, integrating detectors have been investigated that integrate the acoustic pressure over an area or line that is larger than the imaged object. Different kinds of optical fiber-based detectors are compared regarding their sensitivity and resolution in three-dimensional phot...

The era of gravitational astronomy is nearly here. In the next few years, ground-based laser gravitational wave detectors will begin to come on line and, it is hoped, space-based detectors will soon follow. Even if the ground-based detectors do not succeed in detecting the waves within the next decade, the space-based detectors will certainly be able to, so the physics goal of the detection of ...

one of the most important challenges in nonlinear, multi-input multi-output (mimo) and time variant systems (e.g., robot manipulator) is designing a controller with acceptable performance. this paper focused on design a new artificial non linear controller with on line tunable gain applied in the robot manipulator. the sliding mode fuzzy controller (smfc) was designed as 7 rules mamdani’s infer...

This paper discusses a mixed method that combines unsupervised learning methods and human expert input for analyzing telemetry data from long-duration robotic space missions. Our goal is to develop more automated methods for detecting anomalies in time series data. Once anomalies are identified using unsupervised learning methods we use feature selection methods followed by expert input to deri...