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MAIN PAGE > Journal "Cybernetics and programming" > Rubric "Quality aspects and improving the margin of reliability of software systems"
Quality aspects and improving the margin of reliability of software systems
Rannev E.V., Myasnikov V.I. - Noise analysis of the NMR relaxometer receiving channel pp. 1-6


Abstract: Traditionally, in pulsed NMR spectroscopy signals are registered by subtracting from it the reference frequency which is near to the Larmor frequency of the nucleus, followed by digitization and further processing. In modern NMR apparatus the receiving channel consists of preselector, quadrature detector, normalizing amplifier, low pass filter and analog-to-digital converter. The disadvantage of such a receiver is the length of the analog section, since each module adds additional noises. Thermal noise occurs on fluctuations of electrons in conductors having a particular temperature. Such fluctuations have spectral components that are in the same frequency band with useful signals.  This article analyzes the nature of the noise of the receiving channel of nuclear magnetic resonance relaxometer and evaluates its characteristics. Authors suggest replacement of the analog part of receiving channel with the digital quadrature detector and theoretically calculate the benefit from the exclusion of several noise sources.
Kuchinskaya-Parovaya I.I. - Component design of neural networks to process knowledge bases pp. 9-15


Abstract: The article describes the main steps of the methodology component design of neural networks to process knowledge bases represented by semantic networks. The technique is based on the use of a unified neural network model and component-based approach to work with neural networks. An important element of the component design of neural networks is a library of neural network compatible components . One of the possible solutions to these problems may be the development of a technique of designing and using neural networks based on the unified model of neural networks and the component approach. Component Design technique is based on the use of the library of the neural networks compatible components. It is concluded that the use of the proposed methodology of component design approach will ease the design and development of the neural networks, lower qualification requirements for the developer (the end user), as well as solve the problem of neural network integration with other methods of representation and processing of information in the development of intelligent systems.
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