Khrulov M. Problem-based computer systems and their functional units constructing method

Object of study: data transmission in computer systems with correlation-time noise processing algorithms. Object is to develop methods of generating and processing noise signals to increase performance of data transmission in computer networks. Scientific novelty: 1. For the first time developed a method for constructing a problem-oriented computer systems and their functional units based on existing approaches to the development of new objects by their adaptation to the problem area, in which, in contrast to the existing metods, upgraded model of problem-oriented computer system is applied, which allows to develop the computer systems and their functional units . 2. For the first time obtained a model of service functions problem-oriented computer system based on the use of functional- structural approach and functional dynamics models, in which, in contrast to existing models, neural network technology in combination with the technical vision system is applied, that allows to develop a structure of module of binding instrument to workpiece coordinate system, to eliminate a number of technological stages of the operation binding and increase productivity. 3. The model of problem-oriented computer system based on a systematic approach, by using functional dynamics models in which , in contrast to existing models basic and service functions and diagnostics model are applied, that allows to define a functions taxonomy, which allows to build a systems with the specified characteristics. 4 . Improved the model of the basic functions of problem-oriented computer system based on the use of functional models of the dynamics in which,in which, in contrast to the existing models is used peak performance central computer model and the distribution of tasks between the subsystems, allowing the host computer to justify characteristics and requirements to the hardware subsystems of developed problem-oriented computer system. 5. Improved diagnostic subsystem model of problem-oriented computer systems based on the methods of diagnosis and control discrete devices, which, in contrast to existing, the computing process execution control and the table of limited addresses are applied, which reduced the definition time of the subsystems technical state. The work results are implemented in industry and educational institutions of Ukraine.