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Neural Networks-Based Method for Electrocardiogram Classification
Maksym Kovalchuk,Viktoriia Kharchenko,Andrii Yavorskyi,Igor Bieda,Taras Panchenko International Journal of Computer ScienceNetwork S 2023 International journal of computer science and netw Vol.23 No.9
Neural Networks are widely used for huge variety of tasks solution. Machine Learning methods are used also for signal and time series analysis, including electrocardiograms. Contemporary wearable devices, both medical and non-medical type like smart watch, allow to gather the data in real time uninterruptedly. This allows us to transfer these data for analysis or make an analysis on the device, and thus provide preliminary diagnosis, or at least fix some serious deviations. Different methods are being used for this kind of analysis, ranging from medical-oriented using distinctive features of the signal to machine learning and deep learning approaches. Here we will demonstrate a neural network-based approach to this task by building an ensemble of 1D CNN classifiers and a final classifier of selection using logistic regression, random forest or support vector machine, and make the conclusions of the comparison with other approaches.
Optimization of the braced dome structures by using Jaya algorithm with frequency constraints
Maksym Grzywiński,Tayfun Dede,Yaprak Itır Özdemír 국제구조공학회 2019 Steel and Composite Structures, An International J Vol.30 No.1
The aim of this paper is to present new and an efficient optimization algorithm called Jaya for the optimum mass of braced dome structures with natural frequency constraints. Design variables of the bar cross-section area and coordinates of the structure nodes were used for size and shape optimization, respectively. The effectiveness of Jaya algorithm is demonstrated through three benchmark braced domes (52-bar, 120-bar, and 600-bar). The algorithm applied is an effective tool for finding the optimum design of structures with frequency constraints. The Jaya algorithm has been programmed in MATLAB to optimize braced dome.
Current status and prospects of automatic sleep stages scoring: Review
Maksym Gaiduk,Ángel Serrano Alarcón,Ralf Seepold,Natividad Martínez Madrid 대한의용생체공학회 2023 Biomedical Engineering Letters (BMEL) Vol.13 No.3
The scoring of sleep stages is one of the essential tasks in sleep analysis. Since a manual procedure requires considerable human and financial resources, and incorporates some subjectivity, an automated approach could result in several advantages. There have been many developments in this area, and in order to provide a comprehensive overview, it is essential to review relevant recent works and summarise the characteristics of the approaches, which is the main aim of this article. To achieve it, we examined articles published between 2018 and 2022 that dealt with the automated scoring of sleep stages. In the final selection for in-depth analysis, 125 articles were included after reviewing a total of 515 publications. The results revealed that automatic scoring demonstrates good quality (with Cohen's kappa up to over 0.80 and accuracy up to over 90%) in analysing EEG/EEG + EOG + EMG signals. At the same time, it should be noted that there has been no breakthrough in the quality of results using these signals in recent years. Systems involving other signals that could potentially be acquired more conveniently for the user (e.g. respiratory, cardiac or movement signals) remain more challenging in the implementation with a high level of reliability but have considerable innovation capability. In general, automatic sleep stage scoring has excellent potential to assist medical professionals while providing an objective assessment.
Shape and size optimization of trusses with dynamic constraints using a metaheuristic algorithm
Maksym Grzywiński,Jacek Selejdak,Tayfun Dede 국제구조공학회 2019 Steel and Composite Structures, An International J Vol.33 No.5
Metaheuristic algorithm is used to solve the weight minimization problem of truss structures considering shape, and sizing design variables. The cross-sectional areas of the line element in trusses are the design variables for size optimization and the changeable joint coordinates are the shape optimization used in this study. The design of plane and spatial truss structures are optimized by metaheuristic technique named Teaching-Learning-Based Optimization (TLBO). Finite element analyses of structures and optimization process are carried out by the computer program visually developed by the authors coded in MATLAB. The four benchmark problems (trusses 2D ten-bar, 3D thirty-seven-bar, 3D seventy-two-bar and 2D two-hundred-bar) taken from literature are optimized and the optimal solution compared the results given by previous studies.
Optimization of spatial truss towers based on Rao algorithms
Maksym Grzywiński 국제구조공학회 2022 Structural Engineering and Mechanics, An Int'l Jou Vol.81 No.3
In this study, combined size and shape optimization of spatial truss tower structures are presented by using new optimization algorithms named Rao-1, and Rao-2. The nodal displacements, allowable stress and buckling for compressive members are taken into account as structural constraints for truss towers. The discrete and continuous design variables are used as design variables for size and shape optimization. To show the efficiency of the proposed optimization algorithm, 25-bar, and 39-bar 3D truss towers are solved for combined size and shape optimization. The 72-bar, and 160-bar 3D truss towers are solved only by size optimization. The optimal results obtained from this study are compared to those given in the literature to illustrate the efficiency and robustness of the proposed algorithm. The structural analysis and the optimization process are coded in MATLAB programming.
Maksym Spiryagin,유홍희,이관수,Valentyn Spiryagin,Mykola Gorbunov 대한기계학회 2013 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.27 No.7
The problem of improving the tractive and dynamic performance of locomotives by means of using axle boxes with inclined radius links was investigated. The kinematics of axle boxes with different variants (different angles) and designs of inclined radius links, based on the vector contour method for link mechanisms, was studied. The results of a bogie design with vertically inclined radius links were used for the improvement of vertical load distribution for locomotives. The behavior of a locomotive running in a curve is more complicated because the lateral forces appear between a flange of the wheel and the head of the rail in the contact zone, and the values of wheel slip are higher than for straight sections of track. These two factors are the main reasons for wheel wear. Theoretical and experimental investigations to reduce wear and to improve vehicle dynamics were made, and the results obtained show that an effective solution can be reached by the use of inclined links to the longitudinal axis of a bogie in the horizontal plane. Questions about the development of a bogie with a radial installation and active steering are discussed.
Prospects of Nanoscience with Nanocrystals
Kovalenko, Maksym V.,Manna, Liberato,Cabot, Andreu,Hens, Zeger,Talapin, Dmitri V.,Kagan, Cherie R.,Klimov, Victor I.,Rogach, Andrey L.,Reiss, Peter,Milliron, Delia J.,Guyot-Sionnnest, Philippe,Konstan American Chemical Society 2015 ACS NANO Vol.9 No.2
<P>Colloidal nanocrystals (NCs, <I>i.e.</I>, crystalline nanoparticles) have become an important class of materials with great potential for applications ranging from medicine to electronic and optoelectronic devices. Today’s strong research focus on NCs has been prompted by the tremendous progress in their synthesis. Impressively narrow size distributions of just a few percent, rational shape-engineering, compositional modulation, electronic doping, and tailored surface chemistries are now feasible for a broad range of inorganic compounds. The performance of inorganic NC-based photovoltaic and light-emitting devices has become competitive to other state-of-the-art materials. Semiconductor NCs hold unique promise for near- and mid-infrared technologies, where very few semiconductor materials are available. On a purely fundamental side, new insights into NC growth, chemical transformations, and self-organization can be gained from rapidly progressing <I>in situ</I> characterization and direct imaging techniques. New phenomena are constantly being discovered in the photophysics of NCs and in the electronic properties of NC solids. In this Nano Focus, we review the state of the art in research on colloidal NCs focusing on the most recent works published in the last 2 years.</P><P><B>Graphic Abstract</B> <IMG SRC='http://pubs.acs.org/appl/literatum/publisher/achs/journals/content/ancac3/2015/ancac3.2015.9.issue-2/nn506223h/production/images/medium/nn-2014-06223h_0020.gif'></P>
Yatsko, Maksym,Panfilova, Yanina,Zozuliak, Marta,Koval, Oleksandr,Golubka, Yaroslav International Journal of Computer ScienceNetwork S 2022 International journal of computer science and netw Vol.22 No.7
The innovative process of digitalization and creation of innovation from an idea to its commercialization requires certain financial costs, labor and mental efforts. The amount of investment (corporate and public) is the most important imperative to enhance innovation and is traditionally considered as the main "input" indicators of the development of innovation infrastructure, in this case, the financial infrastructure of innovation. At the same time, the modern theory of innovation development assumes a systematic approach to the organization of innovation activity, which provides for the close interaction of several subsystems: human (including intellectual) potential, financial and technological capital, as well as relevant institutions and methods of regulation.. Thus, the main task of the study is to analyze the features of investment support for the process of digitalization of socio-economic systems in the context of strengthening international economic relations. As a result of the study, current trends and prerequisites of investment support for the process of digitalization of socio-economic systems in the context of strengthening international economic relations were revealed.