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The article discusses issues related to the prospects for the implementation of the idea of creating a hardware-software complex for automated regulation of insulin delivery. Today, there are drugs that allow people to live relatively comfortable even with the m ost serious types of diabetes. The m ain difficulty of insulin therapy is the need for consistency (at any time, day or night) of carrying out the control and regulation the infusion of the drug into the patient’s body. Unfortunately, not all patients are able to perform it properly. The ideal solution could be a system that performs all these actions automatically without the participation of the patient. Therefore, the implementation of the idea of creating a hardware-software system for automatic regulation of insulin delivery using the program-adaptive control scheme is relevant. The article forms the general requirements for an approach capable of providing safe medical care for people with type 1 diabetes. There are requirements for the hardware-software complexes of automatic regulation of insulin delivery must correspond are formulated. Also the block diagram is presented.

The research considers an approach to solving the problem of reducing the data processed in mobile platforms oriented video-analytic systems. Different models of human visual attention has been analyzed and also classified according to the image segmentation. The results obtained are presented in the form of the method used for isolating the borders of the most significant object in the image. They are based on the optimization the length and curvature values of the object borders. This approach allows to filter significant structures in the image and process them with the help of image segmentation techniques. The method was evaluated according to usage the accuracy criterion along with other methods in delineation of boundaries: threshold value, morphological processing and watershed. Software and hardware system for registering dump trucks has been improved. It gives the possibility to automatize the process of registration dump trucks, training them during the construction of roads.

The article is devoted to algorithm development to select an optimal control law of a gas turbine engine in the conditions of external additive noise and incomplete information regarding the values of control parameters. A step by-step algorithm for problem solving is given. The effectiveness of the algorithm is proved by numerical experiments.