Muhammad Adnan, B. S. Bala, Koirala Nishan, Artyom N. Prokshin, Gennady A. Karpov, Niroula Prashant
{"title":"Analytical Solution for DC-DC Boost Converter and Comparison of Analytical Solution with MATLAB and ngspice Models","authors":"Muhammad Adnan, B. S. Bala, Koirala Nishan, Artyom N. Prokshin, Gennady A. Karpov, Niroula Prashant","doi":"10.1109/scm55405.2022.9794832","DOIUrl":"https://doi.org/10.1109/scm55405.2022.9794832","url":null,"abstract":"Analytical solutions of equations for a boost converter without feedback are presented. These solutions make it possible to predict the accurate response of the system to initial conditions. Simplified mathematical expressions are obtained for the oscillation period and the damping decrement and level for output voltage. By comparing analytical solutions for boost converter in open loop with the simulation results in the MATLAB and open source ngspice programs resulted to a similar output.","PeriodicalId":162457,"journal":{"name":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116611579","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}
Y. Seliverstov, Andrey A. Komissarov, Dmitry A. Tsyrkov, Stanislav S. Torsionov, Alina A. Lesovodskaya, Artur V. Podtikhov
{"title":"Development of an Intelligent Speech Analysis System","authors":"Y. Seliverstov, Andrey A. Komissarov, Dmitry A. Tsyrkov, Stanislav S. Torsionov, Alina A. Lesovodskaya, Artur V. Podtikhov","doi":"10.1109/scm55405.2022.9794875","DOIUrl":"https://doi.org/10.1109/scm55405.2022.9794875","url":null,"abstract":"The concept of oral speech is formalized, various methods and approaches for the quantitative analysis of oral speech are identified and studied, a methodology for analyzing oral speech is developed based on discursive indicators, criteria for connectedness, fluency, clarity, intelligibility, tonality, emotionality of speech, readability of the meaningful part of speech, models of multiclass classifiers are built. in terms of sectoral and emotional differentiation of texts, the architecture of the oral speech analysis service is being developed, based on the developed methodology, models of multi-parameter analysis of oral speech are being developed and implemented in software, a visual interface is being developed that clearly demonstrates the results of automatic analysis of oral speech.","PeriodicalId":162457,"journal":{"name":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","volume":"232 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114231152","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}
I. A. Tokareva, V. Alekseev, D. Surov, Oleg A. Mikus
{"title":"Creating a Mobile Application for the Study of a Person Kinematic Portrait","authors":"I. A. Tokareva, V. Alekseev, D. Surov, Oleg A. Mikus","doi":"10.1109/scm55405.2022.9794854","DOIUrl":"https://doi.org/10.1109/scm55405.2022.9794854","url":null,"abstract":"Biomechanical analysis of human movements always begins with determining various characteristics of a moving body. These characteristics may include various mechanical characteristics (for example, displacement, speed, acceleration, muscle traction, etc.). Some of these characteristics are determined experimentally, and the rest are calculated. This paper describes a mobile application for the iOS operating system designed to transmit and process the spatial parameters of a person's movement from a local MEMS-based measurement system obtained experimentally when analyzing a person's gait.","PeriodicalId":162457,"journal":{"name":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132241817","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}
A. Alyushin, Mihail V. Alyushin, Sergej V. Dvoriankin
{"title":"Correctness of the Information Contained in the Biosignature Document of the Document","authors":"A. Alyushin, Mihail V. Alyushin, Sergej V. Dvoriankin","doi":"10.1109/scm55405.2022.9794840","DOIUrl":"https://doi.org/10.1109/scm55405.2022.9794840","url":null,"abstract":"It is shown that the currently developed so-called biomarking technology based on biosignature (BS) is an effective tool for protecting important documents from forgery and falsification. The main advantages of biomarking technology are highlighted. First of all, they include the possibility of combining in the composition of the BP information both on the contextual content of important parts of the document, and individual biometric data about its author. Such biometric data makes it possible to perform document author identification as well as an assessment of his functional and psycho-emotional state at the time of drawing up and signing the document. An analysis of the accuracy requirements of transmission as part of the BP of biometric information is presented. The possibility of using printing equipment with different resolutions for the transmission of contextual and biometric information with the required accuracy is considered.","PeriodicalId":162457,"journal":{"name":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133027506","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":"Application of Text Analysis Methods to Recommend Student Choices","authors":"P. V. Korytov, I. Kholod","doi":"10.1109/scm55405.2022.9794830","DOIUrl":"https://doi.org/10.1109/scm55405.2022.9794830","url":null,"abstract":"The paper considers the use of natural language processing methods to recommend student choices. Descriptions of subjects taken by the student serve as the basis for compiling the student profile. This profile is used to rate available side projects as most corresponding to that student’s educational history. The quality of recommendations is evaluated based on the data from the \"Individual Educational Trajectories\" system.","PeriodicalId":162457,"journal":{"name":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125756287","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. Alekseev, N. Orlova, R. E. Vavilov, Vera S. Bryzgalo
{"title":"Geotaxons Classification Based on Carbon Impact Severity","authors":"V. Alekseev, N. Orlova, R. E. Vavilov, Vera S. Bryzgalo","doi":"10.1109/scm55405.2022.9794862","DOIUrl":"https://doi.org/10.1109/scm55405.2022.9794862","url":null,"abstract":"The paper considers the issues of structural and functional areas arrangement, informative characteristics of geotaxons for carbon state and reciprocal impact analysis using geoinformation technologies. It is proposed to use a scale for geotaxons categorization based on carbon impact severity","PeriodicalId":162457,"journal":{"name":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123860960","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}
P. A. Mal’tsev, Natal'Ya A. Shatilova, S. E. Abramkin
{"title":"Synthesis of a Control System for the Oil Cooling Process in the Oil Supply System of a Gas Turbine Engine","authors":"P. A. Mal’tsev, Natal'Ya A. Shatilova, S. E. Abramkin","doi":"10.1109/scm55405.2022.9794841","DOIUrl":"https://doi.org/10.1109/scm55405.2022.9794841","url":null,"abstract":"The purpose is the synthesis of a control system for the oil cooling process in a condenser. A study of heat and mass transfer processes occurring in apparatuses has been carried out. As a result, assumptions for constructing a mathematical model were determined, a mathematical model of the process was developed, boundary and initial conditions were determined. In order to conduct a computational experiment, the model was transferred to a discrete-continuous model. Then the disturbing influences were determined, and the computer simulation was carried out. The simulation results showed the adequacy of the developed mathematical model to the technological process. Based on the obtained transient processes, the transfer function of the object of study was approximated and the synthesis of the control system for the oil cooling process was carried out.","PeriodicalId":162457,"journal":{"name":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123867936","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":"Generative Adversarial Approach in Natural Language Processing","authors":"E. N. Karuna, Petr V. Sokolov, Daria A. Gavrilic","doi":"10.1109/scm55405.2022.9794898","DOIUrl":"https://doi.org/10.1109/scm55405.2022.9794898","url":null,"abstract":"The use of a generative adversarial algorithm for training neural networks made it possible to make significant progress in solving the problem of generating images and audio data. Nevertheless, important problems remain in solving the tasks of generating discrete data sequences. Solving such problems will allow using generative-adversarial learning to generate text data. This paper reflects a brief overview of modern research and achievements in the generation of text data using generative adversarial learning, lists a set of tasks that can be solved using this approach, describes possible problems and existing methods for solving existing problems, and also describes some suggestions for improving models. The structure and algorithm of the proposed system are described, the research results are presented.","PeriodicalId":162457,"journal":{"name":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124739505","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 Selection of Optimal Parameters for Machine Learning Methods of Detecting Malicious Requests to Web Applications","authors":"Alexandr O. Bolgov, A. Kamenskih","doi":"10.1109/scm55405.2022.9794881","DOIUrl":"https://doi.org/10.1109/scm55405.2022.9794881","url":null,"abstract":"Firewalls are still one of the key technologies for web applications protection from modern cyber threats. The in-depth protection strategy starts with isolation using firewalls and continues with other protection systems, such as intrusion detection systems. The problem with firewalls is false negatives, which can be mitigated with additional filtering tools. The use of machine learning methods is one of the possible directions in the development of defense systems. The article presents the selection of optimal parameters for several classification methods used in machine learning. For this task, a set of training data with common attacks on web applications is used.","PeriodicalId":162457,"journal":{"name":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126445763","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":"An Algorithm for Continuous Respiratory Monitoring Using Nasal Pressure Airflow Measurement","authors":"Harold Steven Noriega Alvarado, Anaghem Ibrahim","doi":"10.1109/scm55405.2022.9794834","DOIUrl":"https://doi.org/10.1109/scm55405.2022.9794834","url":null,"abstract":"Sleep breathing disorders are health conditions that may affect several aspects of life and have been brought to light over the last five decades. Polysomnography is a golden standard measurement for sleep study. Moreover, it requires special equipment and a sleep laboratory. In this paper, an algorithm for continuous respiratory monitoring using nasal pressure airflow measurement for portable monitoring systems is developed. It allows detecting precisely, inhale and exhale peaks in airflow signal. Hence, essential parameters and different analyses of the airflow signal are determined. To examine the algorithm an airflow signal was obtained using portable cardiorespiratory system Kardiotehnika 04-3P(M) during night sleep and used to analyse the performance of the algorithm.","PeriodicalId":162457,"journal":{"name":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117007648","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}