This paper introduces the Extremum Consistency (EC) algorithm for avoiding local maxima and minima in a specialised domain. The most notable difference between this approach and others in the literature is that it places a greater importance on the width or consistency of an extremum than on its height or depth (amplitude). Short-term, high amplitude extrema can be encountered in many typical s...

In many real-life situations, we only have partial information about probabilities. This information is usually described by bounds on moments, on probabilities of certain events, etc. – i.e., by characteristics c(p) which are linear in terms of the unknown probabilities pj . If we know interval bounds on some such characteristics ai ≤ ci(p) ≤ ai, and we are interested in a characteristic c(p),...

In many real-life situations, we only have partial information about probabilities. This information is usually described by bounds on moments, on probabilities of certain events, etc. – i.e., by characteristics c(p) which are linear in terms of the unknown probabilities pj . If we know interval bounds on some such characteristics ai ≤ ci(p) ≤ ai, and we are interested in a characteristic c(p),...

To enable a two-arm manipulator system to perform complex cooperating tasks such as carrying a rigid object, establishing a contact to a surface, grinding, etc., a nonlinear multiple input system should be solved. We apply an approach to on-line automatic learning of a B-spline fuzzy controller. This controller model directly connects the sensor inputs to the compensation motion. By using the a...

Situations of collaborative working are more and more complex and various in organizations. Such diversification is little studied in the literature. Researches about “technologies usages” in “collaborative situations” mainly focus on specific contexts where a given group is using a specific technology. In this paper, we focus on the richness of a real world environnement of collaboration techn...

Artificial neural networks (ANNs) are intelligent systems that have successfully been used for prediction in different medical fields. In this study, the capability of ANN in predicting body behavior in pain-producing situations is evaluated. A three-layer back-propagation ANN is designed using MATLAB software. The inputs include the magnitude of stimulation in pain fibers, touch fibers and cen...

Artificial neural networks (ANNs) are intelligent systems that have successfully been used for prediction in different medical fields. In this study, the capability of ANN in predicting body behavior in pain-producing situations is evaluated. A three-layer back-propagation ANN is designed using MATLAB software. The inputs include the magnitude of stimulation in pain fibers, touch fibers and cen...

pessimism, a phenomenon of deep effect over the contemporary poetry, both arabic and persian, usually enjoys a widespread usage in the periods of social, political and economic disorders which, in turn, affect the poets’ views and change their visions toward the real. elias abu-shabaka and hushang ebtehaj are the poets of a modern disorderly era and environment. they both display a deep pessimi...

In this paper the need for employing a data reduction algorithm in using digital graphic systems to display biomedical signals is firstly addressed and then, some such algorithms are compared from different points of view (such as complexity, real time feasibility, etc.). Subsequently, it is concluded that Turning Point algorithm can be a suitable one for real time implementation on a microproc...

Object tracking is the process of locating moving objects in the consecutive video frames. Real time object tracking is a challenging problem in the field of computer vision, motion-based recognition, automated surveillance, traffic monitoring, augmented reality, object based video compression etc. In this paper kernel based object tracking using color histogram technique has been applied for d...