The analysis of structural solutions of autonomous measuring-computing nodes (AMCN) Ethernet - oriented cyber-physical systems (CPS) have been conducted. The possibility of using the standard industrial sensors and actuators with low-speed serial ports in them have been showned. General basis of telecommunication subsystems has been given. The basic options of realization of telecommunications subsystems have been proposed and the recommendations about choosing a concrete decision by the criterion of necessary computing power for primary data processing. The physical model of telecommunication subsystems has been investigated.

Big data and high performance computing are seen by many as important tools that will be used to advance science. However, the computational power needed for this promise to materialize far exceeds what is currently available. This paper argues that the von Neumann computational model, the only model in everyday use, has inherent weaknesses that will prevent computers from achieving the envisaged performance levels. First, these weaknesses are explored and the properties of a computational model are identified that would be required to overcome these weaknesses. The performance benefits of implementing a model with these properties are discussed, making a case that a computational model with these properties has the potential to address the needs of high performance computing. Next, the paper presents a proposed computational model and argues that it is a viable alternative to the von Neumann model. The paper gives a simplified outline of an architecture and programming language that express the proposed computational model. The main feature of this computational model is that it processes variables as they become defined. These variables can be processed in any order and simultaneously, avoiding bottlenecks and enabling high levels of parallelism. Finally, the computational model is evaluated against the properties identified as desirable, showing that it is possible to design an architecture and programming language that do not have the weaknesses of the currently dominant von Neumann model. The paper concludes that the weaknesses which limit the performance of current computers can be overcome by exploring alternative computational models, architectures and programming languages, rather than by working towards incremental improvements to the existing dominant model.

We synthesized the general structures of biomedical electric impedance biotechnical systems as a part of cyber-physical systems and propose methodological recommendations on the electric impedance equipment development.

In this paper new approaches for solving dynamic Travelling Salesman Problem in conditions of partly unknown input data are given.

We consider a microcontroller implementation of an algorithm for extracting SURF features of an object in a video stream to be used in a specialized computer vision system.

On the basis of the hierarchical structure of a typical cyber-physical system and main stages of crops cultivation, the list of the subsystems necessary for the creation of such a system is considered. The structures and recommendations for these systems are expounded, and the generalized structural scheme of the given cyber-physical system is described issuing from the four main objects of the research: seeding material, soil, intermediate harvest benefits, harvesting, stocking or primary processing. The application of the matrix method for the assessment of production processes quality as well as final products, which is realized at different hierarchical levels of a cyber-physical system, is proposed. The approach to the analysis of system functioning at all stages of crops cultivation is represented. The principles of data matrices forming at hierarchical levels of a cyber-physical system in combination with the applied subsystem types are presented.