For last two decades there was a wide spectrum of methods of the beam diagnostics, allowing to receive the detailed information on structure, properties and features of functioning of various members of the body by the qualitative analysis of biomedical images. Until recently the analysis of biomedical images has been based on badly formalized heuristic methods

One-section and two-section manipulators based on parallel kinematics “hexapod” mechanism are considered. Linear and angular dimensions optimization problem is set. Minimal guaranteed suppleness of construction under applied force is used as criterion of optimality. The research is carried out by means of MatLab software system. MatLab program implementing SQP optimization method is used for solving the optimization problem. Mathematical models of manipulators are obtained by means of MatLab/Simulink system.

This paper presents the bees algorithm into global multidimensional optimization problem. We state biological foundations of the algorithm, shame of used method version and structure of corresponding Python program. We present also results of wide parametric investigation of method efficiency. The investigation carries by help of multidimensional test functions, which belong to three function sets - single-extremum functions, multi-extremum functions having not many extremum, multi-extremum functions having a lot of extremum.

Computing and its development sets up the range of questions on the most part from which answers either are incomplete, or unknown. Some of them: what is ‘computation’? What is ‘information’? What is possible to learn, using computing? What cannot be learned, using computing? – have fundamental value. In the present work the main attention is given to finding-out of technological features of computations with objects. Their interaction is considered in applicative environment that allows finding out the internal structure of usual operations which knowledge allows understanding of their properties. The choice of initial constant entities, considered as primary and referred as combinators is discussed. These initial entities are used as the basic “building blocks”, entering in applicative environment in interaction with each other. This interaction results in the constructs, giving representative sets of usual operators and to the embedded computing systems

In article the new approach to modelling of parametres of the human muscle describing a condition of a muscle (weakened or strained) is offered. The universal curve gives possibility to compare various muscles in relative units, as

In this paper a software environment is proposed for the semirealistic simulation of airborne strapdown inertial/satellite navigation system sensor measurements. In contrast to the existing ones, the suggested environment is capable of automatic error model parameters identification for gyros, accelerometers and the GNSS receiver after the system is tested onboard a land vehicle.

The problem of multidimensional non-stationary signal classification is considered. The method of signal feature vector construction based on analysis of dynamical patterns is described. The neural network approach is proposed to use for classification in feature space. The results of experimental researches of developed algorithms for applied problem of electroencephalograms recognition are described.