№ 3(123)
30 june 2026 year
Rubric: Researching of processes and systems
The author:
Sivolobov S. Купить статью
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The problem of recognizing human body activities by analyzing data obtained from inertial measurement units using artificial neural networks is consired. The feature of this study is using of only five angular coordinates defined by a planar five-link human model for movement analysis. Furthermore, in addition to walking, athletic exercises movements are analyzed. Both long-term and short-term movements (for example, Start of walking or sitting down) are recognized. Activities recognition is used in human-machine interfaces, as well as in sports, to assess the number and technique of performing exercises. Movement analysis is also used in medicine, for example, in the treatment of Parkinson’s disease. The purpose of this work is to develop a method for recognizing short-term and long-term movements based on data from wearable inertial sensors, without the influence of vertical axis body position, with a recognition accuracy of over 98%. Five measuring modules are attached to the human body using elastic belts. One module is placed on the person’s chest, the others are attached to the sides of the thighs and shins. Each module uses a microelectromechanical sensor MPU-6050 with a specialized digital signal processor for motion processing (DMP) used to pre-process and filter data coming directly from the 3-axis gyroscope and accelerometer. Then the data from the modules is transmitted wirelessly to the receiving device and then to a personal computer, where they are finally processed and stored for subsequent classification. In the course of the work, a data set was collected that, in addition to common states (standing and sitting positions, walking), included sports exercises that primarily involve the leg muscles (squatting, step-ups). Using video recording carried out during the motion capture process, the areas where the movements are performed were marked on the obtained data. Several neural network configurations (fully connected, convolutional, and recurrent) were used to classify the movements. The highest accuracy of combine recognition of long-term and short-term movements (98–99% F1-score) was achieved using convolutional neural networks. In the work process, it was found that the duration of the analyzed movement fragment has effect on recognition accuracy. This accuracy was achieved using 2-second recording fragments.
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№ 3(123)
30 june 2026 year
Rubric: Researching of processes and systems
The author:
Loseva O. Купить статью
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Assessment of the economic efficiency of using digital assets in production processes is important both for industrial enterprises themselves and for government authorities implementing measures to encourage the introduction of digital technologies by enterprises within the framework of the Strategy for the Development of the Manufacturing Industry of the Russian Federation, as well as for development institutions when selecting projects within the framework of technological development programs. The purpose of the study was to develop an econometric model for evaluating the effectiveness of using digital assets, which makes it possible to quantify their impact on labor productivity and operating costs based on panel data from Russian manufacturing enterprises for 2019–2024. A statistical verification of the specification and quality of the constructed panel regression models was carried out using formal statistical tests (Hausmann, Breusch – Pagan, VIF). The estimates obtained allow us to quantify the impact of digital assets on the dynamics of key performance indicators. The essence of digital assets is defined as a set of digital resources and technologies used by an enterprise that automate data analysis, forecasting, and decision support operations. To build the model, the author’s integral index of digital assets has been developed, taking into account investment, technological, analytical and integration components. When writing the article, the methods of generalization and classification, comparative and econometric analysis were used. The conclusion is made about the practical significance and potential users of the developed models, the directions of their further improvement.
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Reviewing manuscripts of articles in scientific journals is often complicated by insufficiently thorough preparation of the presented material. In addition to the irremovable reasons due to the low substantive (scientific) level and the lack of significant results, a significant contribution is made by the authors’ insufficient familiarity with the existing canons and rules for organizing the text of the article and the style of presentation. Despite the fact that a single standard that does not depend on the specifics of specific areas of scientific knowledge, the cultural environment and publishing traditions is impossible, it is quite possible to build a kind of “supporting structure” that would set the vector for applying the creative efforts of the author to build an information image of the scientific result obtained by researchers. The work sets out the conceptual foundations of an approach to manuscript design that is sufficiently general and meets the requirements for adequate exposure of key research results offered by the authors to the attention of the scientific community. The basic limitation is the subject of the work, which can be identified as the development of new mathematical methods and tools designed to solve practical problems in various fields of activity. Taking into account the specified specifics of the scientific orientation of the works and, accordingly, the profile of the scientific journal, as well as the technology for working with applications adopted in a particular editorial office, basic concepts are postulated, methodological rules are formulated on the most significant points, and normative markers are provided to help authors in matters of the structural organization of the manuscript, the choice of presentation style and means of presentation. The proposed material is the result of a generalization and systematization of the authors’ long-term practical experience, directly related to the publication of works on the designated scientific topics.
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