The developed method of optimal design of flexible optical networks takes into account various factors and goals to ensure efficient use of resources, high performance, scalability, and adaptability. A mathematical model is developed to determine the key parameters of the fiber optic linear network route. The topology of the route of a fiber-optic linear network based on the proposed matrix model is proposed. An algorithm for using the matrix model of parameters based on the proposed variant of the fiber-optic linear network route is developed. The application of a systematic approach using the proposed method will allow network designers to achieve optimal design of flexible optical networks that efficiently use resources, provide high performance, as well as scalability and adaptability necessary for future growth and technological progress.
The focus of this research is on the upgrade of the electromyographic system of diagnosing back pain. Back pain is a common ailment that affects people of different classes and differs in its intensity. The evaluation of the condition of the back muscles is carried out according to the results of an electromyographic examination during physical exercise. Electromyographic results are strongly correlated with the degree of tension and flexion of the muscle. The quality of the physical exercise by the patient can be determined by the presence of pain or fear of pain. In this regard, it is proposed to supplement the electromyographic complex with blocks of control of the level of pain, degree of flexion of the back muscles, and sound stimulus to maintain maximal back flexion
The method of mapping the ellipticity of the polarization image of blood plasma films and the analysis of the statistical moments of the obtained distributions underlies the evaluation of the mammary gland condition is considered in the article. Indicators of sensitivity and specificity of this method were evaluated and graphs of ROC curves for control group, malignant group and benign group were constructed.
The article is considering building of the method of prediction of indicators of biomedical images. There was considered structure of the system that have to solve the problem of processing parameters of biomedical images. There was considered the constructing of such system using a parallel-hierarchical network as well.
The paper considers the fundamentals of the design theory of stochastic diagnostic type observers that are invariant to unknown inputs. It presents a description of identification and malfunctions localization problem when the noise is present. The article provides theoretical substantiation of the decomposition procedure of optimal stochastic observers with indefinite inputs and noise. Optimality criterions of such observer are defined. The paper reveals invariance of a differential signal in relation to indefinite, uncontrollable perturbations. Optionally, in a case, when a differential signal has a Gaussian distribution, the procedure of decision making about fault availability is offered.
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