{"title":"Development of a Universal Module for the Collection and Processing of Measurement Data for Decision Support Systems","authors":"A. Kolodenkova, S. Novokschenov","doi":"10.1109/MWENT47943.2020.9067478","DOIUrl":"https://doi.org/10.1109/MWENT47943.2020.9067478","url":null,"abstract":"In this paper, we consider the shortcomings of existing decision support systems (DSS) of various industries. The expediency of developing a universal module for collecting and processing measurement data of a universal DSS is substantiated. The developed module allows to receive heterogeneous data from various measuring devices in asynchronous mode. To provide asynchronous data reception the module an event-based operation scheme is realized. It allows data reception with the highest possible performance. Universal DSS is a system that has no dependencies of subject field and a set of tasks at design and developing stage. The structure of the data collecting module, the scheme of measurement data preprocessing and also the data streams schemes in the universal DSS are described. As a universal method for processing measurement data (MD), we consider a method for estimating deviations of input fuzzy data from allowable ranges, based on the bit mask creation of measuring data values deviations from their allowable ranges with its further evaluation. The proposed method allows to make a preliminary conclusion about violations in the operation of industrial equipment (IE) at the data preprocessing stage.","PeriodicalId":122716,"journal":{"name":"2020 Moscow Workshop on Electronic and Networking Technologies (MWENT)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127387969","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Recursive Algorithm of Digital Polynomial Filtering","authors":"M. A. Shcherbakov","doi":"10.1109/MWENT47943.2020.9067458","DOIUrl":"https://doi.org/10.1109/MWENT47943.2020.9067458","url":null,"abstract":"The paper considers a class of digital nonlinear filters defined by a discrete truncated Volterra series. Such filters called Volterra filters or polynomial filters are a natural generalization of linear filters. The computational weight of polynomial filters is widely known to exponentially grow with the nonlinearity degree. This article is devoted to design of effective algorithms of polynomial filtering based on the algebraic theory of signals and systems. The implementation of nonlinear filters of this class is based on the procedure of data segmentation and calculation of nonlinear circular convolutions. In the paper we suggest recursive algorithms for calculating nonlinear circular convolutions based on multivariate polynomial transforms and the Chinese remainder theorem. Unlike the discrete Fourier transform, the calculation of polynomial transforms does not require multiplications and is implemented using additions and shifts. It is shown that the calculation of a nonlinear circular convolution of the m- th order can be reduced to the calculation of the convolution of the (m- 1)- th order, the execution of the operation of transition to a single variable in the polynomial region followed by restoring the result using the Chinese remainder theorem. A modification of the recursive algorithm for calculating nonlinear circular convolutions using fast polynomial transform algorithms is proposed. This algorithm allows to reduce the computational costs by using an effective procedure based on the recursive addition of polynomials with exponentially growing bases for the multiplication of polynomials. The article concludes with the assessment of computational complexity of the proposed recursive algorithm and the recommendations for its application.","PeriodicalId":122716,"journal":{"name":"2020 Moscow Workshop on Electronic and Networking Technologies (MWENT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125922052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Manipulation of Bionic Prosthesis Using Neural Network Processing Information Principles","authors":"O. Bodin, G. Solodimova, A. Spirkin","doi":"10.1109/MWENT47943.2020.9067436","DOIUrl":"https://doi.org/10.1109/MWENT47943.2020.9067436","url":null,"abstract":"The features of the use of bionic principles for the control of robotic mechanisms are considered. It is revealed that the control system of bionic prosthesis should correspond to the biological properties of human body and perform quite complex and complete actions of the motor cycle without direct human intervention, as well as be adaptive with purposeful behavior changes under the influence of external conditions. The article describes the approach to the construction of a control system for a full-functional bionic prosthesis of the lower limb of a person. A neural network algorithm for prosthesis control is proposed, which allows to reduce the power consumption of computing means and increase the speed of the control system. The presence of sensors in the control system allows you to respond to external stimuli and provides a high degree of stability and safety of operation of the prosthesis. The modification of the control system of bioelectrical prosthesis, which is the synthesis of devices for processing of primary information and a control actuator, and the ways of its implementation, allow increasing the functionality of a hip prosthesis, to reduce the cost and size of its elements, to realize his movement in accordance with the natural movement of a person.","PeriodicalId":122716,"journal":{"name":"2020 Moscow Workshop on Electronic and Networking Technologies (MWENT)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127579686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analysis of the Behavior of a Technical Parameter in a Limited Area of Its Time Series for Forecasting Tasks","authors":"S. Klevtsov","doi":"10.1109/MWENT47943.2020.9067483","DOIUrl":"https://doi.org/10.1109/MWENT47943.2020.9067483","url":null,"abstract":"To assess the performance of a technical object, it is necessary to determine the possible values of the controlled parameters at the predicted time interval. Evaluation is carried out during the operation of the object. Calculations are usually performed in the background. Previously measured parameter values are used for evaluation. They represent a time series. The possibility of forecasting depends on the nature of the time series segment on which the calculations are made. If the plot of the series is characterized as persistent, the forecast is possible. Otherwise, the prediction may result in invalid results. It is shown that the fractal index can be used for local estimation of the character of the series segment, on the basis of which the forecasting is carried out. Unlike the Hurst index, which requires a large amount of data, the fractality index works with small samples. This allows you to determine the nature of the plot of the series, which contains several dozen values.","PeriodicalId":122716,"journal":{"name":"2020 Moscow Workshop on Electronic and Networking Technologies (MWENT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124136448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
R. Soloviev, D. Telpukhov, I. Mkrtchan, A. Kustov, A. Stempkovskiy
{"title":"Hardware Implementation of Convolutional Neural Networks Based on Residue Number System","authors":"R. Soloviev, D. Telpukhov, I. Mkrtchan, A. Kustov, A. Stempkovskiy","doi":"10.1109/MWENT47943.2020.9067498","DOIUrl":"https://doi.org/10.1109/MWENT47943.2020.9067498","url":null,"abstract":"The paper examines the use of residue number system (RNS) for hardware implementation of neural networks based on VLSI or FPGA. Widely known mobile neural networks that are highly accurate and best suited for implementation at hardware level have been explored. Major difficulties in their RNS implementationare examined. Several methods for solving the related problems are proposed: convolutions with step value greater than one, rather than previously used MaxPooling layers, are considered; non-standard activation functions containing only addition, subtraction and multiplication are investigated; efficient algorithm for scaling implementation is proposed and compared with conventional algorithm. Finally, we propose complete flow for design and transfer of MobileNet neural network to hardware level on RNS basis.","PeriodicalId":122716,"journal":{"name":"2020 Moscow Workshop on Electronic and Networking Technologies (MWENT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124299888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Quasi-optimal Algorithm for Receiving Discrete Signals based on Polygaussian Models","authors":"V. M. Artyushenko, Vladimir Ivanovich Volovach","doi":"10.1109/MWENT47943.2020.9067340","DOIUrl":"https://doi.org/10.1109/MWENT47943.2020.9067340","url":null,"abstract":"The analysis of the use of quasi-optimal poly-Gaussian algorithms in the reception of discrete signals is carried out. It is shown that the noise immunity of quasi-optimal algorithms designed to combat chaotic impulse noise increases with the use of multi-account algorithms. The authors have developed a block diagram of a multi-threshold receiver for detecting discrete signals. It is noted that in the formation of the Polygauss model of the real signal-noise formation a priori leave a finite number of components, among which the algorithm in the process of work chooses smaller quantities, and at the last stage in the simplest case leaves only one hypothesis. In relation to Polygauss algorithms (in contrast to classical Bayesian hypotheses), we come to orthogonal models of input oscillation and to adaptation according to the parameters of the most plausible hypothesis. At the same time, along with this, simpler, technically convenient and quite effective algorithms with a priori rigid restriction of the set of hypotheses analyzed are possible. In addition, for example, algorithms with an intermediate degree of simplification are used. The work of a quasi-optimal gated pulse signal receiver against the background of noise and pulse noise is examined and analyzed. As a result of mathematical modeling, the dependences of the win providing a three-way solving scheme in comparison with a single-way one are obtained.","PeriodicalId":122716,"journal":{"name":"2020 Moscow Workshop on Electronic and Networking Technologies (MWENT)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116575850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Smart Workplace Concept for Microwave Products Parameters Control under Small-Scale Customized Manufacturing","authors":"O. V. Drozd, D. Kapulin","doi":"10.1109/MWENT47943.2020.9067328","DOIUrl":"https://doi.org/10.1109/MWENT47943.2020.9067328","url":null,"abstract":"The paper discusses the concept of a smart workplace for parameters control of microwave devices in small-scale customized manufacturing. The object of manufacturing is the microwave device based on a sensor of weak magnetic fields and the sensitive element of which is made by using the thin magnetic film technology. Thin magnetic film is characterized by heterogeneity of magnetic characteristics and it is necessary to research with large number of its samples with the accumulation and analysis of results. The possible variant of implementation the smart workplace for measuring magnetometer parameters on thin magnetic films is considered in paper. The proposed smart workplace concept allows to automate the design and technological processes related to the testing of devices, controlling their movement and tracking technical characteristics in different stages of the manufacturing process.","PeriodicalId":122716,"journal":{"name":"2020 Moscow Workshop on Electronic and Networking Technologies (MWENT)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129546844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Motion compensation method for video encoding","authors":"E. Medvedeva, A. P. Metelev, E. C. Kryshkina","doi":"10.1109/MWENT47943.2020.9067466","DOIUrl":"https://doi.org/10.1109/MWENT47943.2020.9067466","url":null,"abstract":"A motion compensation method for video coding is proposed. The method is based at the estimation of motion vectors along the bit sheets of the most informative high order bits and the adaptive technology for selecting block sizes for motion compensation. Evaluation of motion vectors along the bit sheets of the higher bits will significantly reduce the computational complexity and enumeration of possible blocks. An adaptive technology of selecting block sizes for motion compensation will allow to select large blocks for homogeneous areas of the frame, and smaller blocks for images with complex motion. The proposed method can effectively eliminate temporary redundancy and increase the compression ratio of video frames with minimal computational resources. The results of modeling and evaluating the effectiveness of the developed algorithm are presented.","PeriodicalId":122716,"journal":{"name":"2020 Moscow Workshop on Electronic and Networking Technologies (MWENT)","volume":"165 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128236108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
V. Krevchik, A. V. Rudin, Alexander V. Zadera, M. Semenov, A. Aringazin, I. Semenov
{"title":"Method for Measuring the Acoustic Emission of Developing Microcracks in Machine Parts","authors":"V. Krevchik, A. V. Rudin, Alexander V. Zadera, M. Semenov, A. Aringazin, I. Semenov","doi":"10.1109/MWENT47943.2020.9067440","DOIUrl":"https://doi.org/10.1109/MWENT47943.2020.9067440","url":null,"abstract":"A method for measuring the acoustic emission of developing microcracks in machine parts has been developed. The performed analysis of the obtained dependences of the pulses number and their amplitude-frequency characteristics on the magnitude of the mechanical stress allows us to identify the very initial stages of the microdefects development: sliding along the grain boundaries, their destruction, movement of dislocation clusters, the formation and development of microcracks. At the extreme horizontal sections of elastic deformation, the ratio of the effective lengths of microcracks for a spring with a mileage of 30 thousand km and a spring with a zero mileage is 1.3. The localization of the microdefect in the studied sample of an extended form on average does not exceed 0.5%.","PeriodicalId":122716,"journal":{"name":"2020 Moscow Workshop on Electronic and Networking Technologies (MWENT)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128342376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Reliability Test Monitoring System of Digital-to-Analog Converter Microcircuits","authors":"A. Ishkov, G. Solodimova, A. V. Svetlov","doi":"10.1109/MWENT47943.2020.9067470","DOIUrl":"https://doi.org/10.1109/MWENT47943.2020.9067470","url":null,"abstract":"Digital-to-analog converters are used as part of measuring and control systems for various purposes. Their widespread application and significant impact on the output parameters of measuring systems requires maintenance of their technical parameters at a stable high level. The main requirement for these products is non-distorting waveform conversion, which is achieved by linearity of the actual conversion characteristics. The quality of precision converters is characterized by many technical parameters that significantly affect characteristics of more complex equipment. In mass production, the reliability of the manufactured digital-to-analog converters can be influenced by many factors, therefore, reliability tests are necessary to guarantee their quality. In order to verify compliance of technical parameters with specified requirements in the production of digital-to-analog converter microcircuits, it is necessary to introduce a modern automated production control system for their technical parameters. The design and the operation principle of a monitoring system for testing digital-to-analog converters for reliability using a precision element base, and modern measuring instruments to obtain high metrological characteristics, are described. The test monitoring system allows one to create specified temperature test conditions and electrical load modes, to control their parameters, and to test up to 20 digital-to-analog converters of the same type simultaneously. The development of the test monitoring system will significantly increase the quality of testing digital-to-analog converters for reliability due to the rapid receipt of data, and the ability to monitor the progress of tests.","PeriodicalId":122716,"journal":{"name":"2020 Moscow Workshop on Electronic and Networking Technologies (MWENT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131017008","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}