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Design of an expert system based on Hidden Markov Models for recognition of radar targets in a zone of ground surveillance radar is presented in the paper. Parameters of the real radar echo signal represented in a form of autoregressive models are used as an input of the designed expert system. The real radar echoes have been collected for the purpose of this research. Obtained results show that designed...
In this paper, we propose a vessel detection algorithm used in an online laser monitoring system in the lock of a hydropower plant. The system has to ensure the strict detection of the position of a vessel in order to prevent the manipulation of pound lock doors while the vessel is in the door zone. This paper describes in detail the monitoring concept, i.e., the detection algorithm implemented in...
We consider the problem of detecting malfunctions in the actuators or sensors of systems which can be described by nonlinear/non-Gaussian stochastic state-space models. The basic idea is to estimate the state vector of such models using a sequential Monte Carlo technique known as particle filtering. We present several approaches to detecting faults and pinpointing their location within the system,...
The research presented in this paper refers to classification of geometric shapes (cubes, pyramids and cylinders) using multilayer neural network. The input data of the algorithm are the images of shapes placed in different positions and distances from the camera. The classification is based on feature vectors that are obtained using methods of digital image processing. Feature vectors are inputs...
One approach for deaf signs recognition and classification is presented in the paper. It is assumed that the signs are presented in digital images. Recognition algorithm is consisted of several stages. At the beginning it is necessary to perform appropriate image processing in sense of segmentation and filtration of the input images. Aim is to detect arm position, i.e. sign of interest. For this purpose...
This paper presents one way to adaptation of Doppler radar filters. Doppler filters use window function in order to estimate the target velocity. The window function length can be adapted depending on estimated target acceleration and estimated signal to noise ratio in the system. Kalman filter is used for estimation of target acceleration. Signal to noise ratio is estimated using a procedure based...
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