The urgency of test generation problem is founded to increase the efficiency of monitoring and diagnosing electronic means. As part of the information system of diagnostic modeling implementation, the algorithm of test forming, that provides analysis of the circuitry in the static mode, as well as in the frequency and time domains, is considered. In the static mode operation is considered to explore the «input/output» characteristic, where there are different testing algorithms for linear and nonlinear plots. In frequency domain, according to the algorithm of test forming, the zeros and poles of transfer function are calculated. After that the most effective frequencies of test signals are chosen between zeros and poles. In dynamic domain, according to the appropriate algorithm, the operation form and operation characteristic of circuitry are chosen. Then permissible parameters of electronic components are analyzed. The selection method of effective test impact is proposed according to the uniqueness criterion of distinguishing detectable defects. The diagnostic modeling is carried out, wherein the output characteristics at the circuit output or at internal nodes are analyzed under the test impact and to the degree of defects differentiation within measurement error is determined.
The paper presents the infological database design method using the kinematic approach based on using space-time coordinates of objects as globally unique identifiers, and modelling of objects movement and interaction as sequences of spatio-temporal coordinates. The limitations of the "entity-relationship" diagrams application to spatio-temporal data modelling are described and possible solutions are given. The paper has analyzed the possibilities of periodic processes modelling and the applicability of the kinematic approach to modeling objects of different nature ( both physical and informational ) that have different kinematic characteristics (static, quasi-static and dynamic objects). Kinematic-based entities and relationships for university and corporate information systems are described.
Optical recognition of text documents is inevitably error-prone process. To identify and correct that errors systems use post-processing techniques that are usually based on dictionary search. Using dictionaries can bring an acceptable quality of recognition for Latin, Cyrillic and other phonetic alphabets, but of little use for the languages in which the selection of individual words is untypical or optional (Chinese, Japanese , Korean, Vietnamese and other languages ). This paper discusses known methods to address this problem, and proposes a new approach to correcting certain types of errors, based on the application of neural networks ensembles (containing distinct neural network for each possible character), which allows to reduce the number of hieroglyphic recognition errors and to reduce dependence on the quality of dictionaries while recognizing texts in phonetic alphabets.
Event logs collected by modern information and technical systems usually contain enough data for automated process models discovery. A variety of algorithms was developed for process models discovery, conformance checking, log to model alignment, comparison of process models, etc., nevertheless a quick analysis of ad-hoc selected parts of a journal still have not get a full-fledged implementation. This paper describes an ROLAP-based method of multidimensional event logs storage for process mining. The result of the analysis of the journal is visualized as directed graph representing the union of all possible event sequences, ranked by their occurrence probability. Our implementation allows the analyst to discover process models for sublogs defined by ad-hoc selection of criteria and value of occurrence probability
Provides an overview of the principles of organization of communication in decentralized wireless networks is reviewed. The scheme of the decentralized network and the timing diagram of data transfer between nodes are shown. Investigated the problem of ensuring the effectiveness of collaboration with a number of nodes in low-power networks and consider the possibility of using for this purpose a probabilistic network Protocol data-link layer. The analysis of the algorithm access to the environment in a decentralized network, presents its block diagram. Detail displayed blocks of the algorithm that determine when data transmission from the network node. Through computational experiments on a model of a decentralized network investigated of the dependence of the efficiency of the work of the algorithm access to the airwaves from such temporal characteristics as the delay before sending data and waiting period before attempting to send them. The most loaded time point identified in the network exchange. It is shown that the developed computer program allow to calculate the probable collisions in the air. Suggested hardware implementation of the algorithm based on microcontroller STM32F030F4P6 of ST Microelectronics and transceiver CC1101 of Texas Instruments.
The authors of the article conducted a study aimed at studying the problems associated with this form of training and the reasons for their occurrence. The article considers an example of the application of one of the machine learning methods – cluster analysis and describes the blockchain technology adapted for the implementation of the control functions of the system of distance education. On the example of the data on the results of the survey of students of the National research University "Higher school of Economics" by machine learning were obtained clusters, groups of students - potential users of online courses on the level of their conversion during the passage. The key factors influencing getting into groups successfully/not successfully mastering online courses are chosen. According to the results of the research, recommendations are given to improve the effectiveness of online courses based on machine learning, blockchain technology and other modern forms of work with data.
Authors are proved need of contact control methods application of electronic means elements when carrying out thermal diagnosing in the closed constructive volume. The method of the error calculation brought by the sensor at measurement of element temperature is described. In article topological thermal models of electronic component mounted on the printed circuit board and a pair of electronic component-sensor are presented and investigated in thermal modeling subsystem ASONIKA-T. This models are proposed to use in a new calculate method of error introduced by the sensor. The authors done the experimental check of the presented calculate method. The creation stages of thermal processes models are described in detail. In article is proved that the developed topological models and method fully meets requirements. The conclusion is drawn that their use in the process of electronic means thermal diagnostics will allow to increase the accuracy of temperature measurements due to compensation of the systematic error brought at measurement by the contact thermal sensor. As a result it will positively affect the reliability of definition of defective electronic components and the reliability of electronic means.