Testing parametric models for identifiability and distinguishability is important when the parameters to be estimated have a physical meaning or when the model is to be used to reconstruct physically meaningful state variables that cannot be measured directly. Examples are used to explain why...

This paper describes estimating the positions of objects and the directions to approach them using image processing, optimum path for gathering all objects by a modified method of the traveling salesman problem, and a new method termed here as the virtual sensing method for collision avoidance...

The application of two unsupervised Artificial Neural Networks (ART2 and Kohonen) for the classification of patients in three medical fields is considered. In the first case, data obtained from spectral analysis of the EEG signals are used in order to detect brain disfunction of persons exposed...

In this paper, a new approach to the production planning problem in fish farms is developed. Production planning problems include: the determination of the optimal number of fry to transfer into the grow-out system, the estimation of population growth and production costs, and the determination...

Environmental and agricultural studies require spatial information on the soil water table level. Data collection based on dip-well measurements requires frequent measurements and a high number of dip-wells as the soil water table depth is varying strongly within short distances and time...

The development of high speed planing and moulding machines has arguably progressed to the limits imposed by purely mechanical designs. To ensure an adequate surface finish and form with high linear feed rates, demanded on grounds of economy, requires a large number of knives (circa 20) which in...

An algorithm computing homotopy groups of a reduced simplicial set with effective homology is described, using the Whitehead tower method.

This paper presets an efficient local optimization scheme for redundant serial link manipulators with low degree of redundancy and a complex optimization task. This is done by reducing the degree of the joints space by the number of link variables solved by a closed form solution of the inverse...

In this paper we present a flexible method for representing and optimizing smooth trajectories along specified paths for robotic applications. The main idea of this approach consists in defining the geometric path and the kinematics of the trajectory by independent parametric functions. The...

Many industrial operations can be automated using robot arms that, however, require the use of robots being able to perform surface-following in an adaptive way. Surface-following in real-time based on sensor information is a delicate task to overtake, yet very useful in operations like...