A problem of design of a flow line composed of stationary machines for sequential batch machining is considered. A MIP model for synthesis of manufacturing process structure is proposed. The model takes into account main technological and structural constraints with the criterion of the minimal line equipment cost. Results of solving a real industrial example are also presented.

Parallel computing technique for modeling three-dimensional viscous flow (Stokes flow) using direct boundary element method is presented. The problem is solved in three phases: sampling and construction of system of linear algebraic equations (SLAE), its decision and finding the velocity of liquid at predetermined points. For construction of the system and finding the velocity, the parallel algorithms using graphics CUDA cards programming technology have been developed and implemented. To solve the system of linear algebraic equations the implemented software libraries are used. A comparison of time consumption for three main algorithms on the example of calculation of viscous fluid motion in three-dimensional cavity is performed.

The paper presents findings of the influence analysis of input harmonic signal’s frequencies on control systems dynamics. Different control system structures with discrete-time controllers have been considered. The system is stable with the feedback controller and unstable with the controller in the forward path. Different discrete-time shaping units (low-pass filters, rate limiters) with matched parameters have been applied for sustained oscillation and spontaneous drift elimination. The influence of input signal’s frequencies goes down if control system includes shaping units. At the same time, when using low-pass filters or rate limiters emerging additional delays need to be considered. The recommendations for the practical use of the investigation results are presented.

A method is suggested for detecting malignant tumors in liver ultrasonic images. The method is based on decision rules which utilize quantitative features of liver image texture such as the degree of texture anisotropy, distribution of intensity gradients, the area of connected components with certain image properties and some other. On a set of 1280 regions of interests sampled from 26 test images it is demonstrated that the method provides an acceptable level of tumor recognition accuracy in 96,8 % of cases.

A notion of cluster structures is introduced. These structures can be used to identify and present the hidden knowledge" in data mining. It demonstrates the use of cluster structures to address automatic pattern recognition with training.

The human intelligenсe (HI) simulation problems and the development directions of intelligence technologies are analyzed. Artificial intelligence restrictions in compare with HI are shown. The future integrated intelligence systems will be based on advanced technologies of human intelligence. If currently there is no silicon realization of HI memory and its processing, the elements of such realization may be executed with use of clouding technologies. The particularities of cloud computing are given and its implementation for the development of the modern intelligent management are considered.