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2022 XXV International Conference on Soft Computing and Measurements (SCM)最新文献

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Methods and Technologies of Application of Fuzzy Models for Processing Industrial Data and Quality Management of Polymer Materials 模糊模型在工业数据处理和高分子材料质量管理中的应用方法与技术
2022 XXV International Conference on Soft Computing and Measurements (SCM) Pub Date : 2022-05-25 DOI: 10.1109/scm55405.2022.9794846
T. Chistyakova, R. Makaruk, Azamat Ch. Tedtoev
{"title":"Methods and Technologies of Application of Fuzzy Models for Processing Industrial Data and Quality Management of Polymer Materials","authors":"T. Chistyakova, R. Makaruk, Azamat Ch. Tedtoev","doi":"10.1109/scm55405.2022.9794846","DOIUrl":"https://doi.org/10.1109/scm55405.2022.9794846","url":null,"abstract":"The paper presents methods and technologies for the use of fuzzy models for the analysis and quality control of polymer materials. In accordance with the approaches under consideration, a single reconfigurable computer system was developed that allows for a comprehensive analysis of the quality of products of multi-assortment polymer industries. The methods and technologies that allow using fuzzy models to evaluate the color characteristics of polymer materials are described, which makes it possible to eliminate the incompleteness of the input data about the object of study and improve the quality of the results of the system as a whole","PeriodicalId":162457,"journal":{"name":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","volume":"20 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":"124698388","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}
引用次数: 0
Determination of the Components Toxicity of the Polycrystalline Solar Panel 多晶太阳能电池板成分毒性的测定
2022 XXV International Conference on Soft Computing and Measurements (SCM) Pub Date : 2022-05-25 DOI: 10.1109/scm55405.2022.9794880
M. Semenova, I. Vezhenkova, Polina V. Manakhova, K. A. Porokhnenko
{"title":"Determination of the Components Toxicity of the Polycrystalline Solar Panel","authors":"M. Semenova, I. Vezhenkova, Polina V. Manakhova, K. A. Porokhnenko","doi":"10.1109/scm55405.2022.9794880","DOIUrl":"https://doi.org/10.1109/scm55405.2022.9794880","url":null,"abstract":"Panels that store solar energy, designed for solar energy, are relatively new and little studied devices. Currently, the chemical inertness and toxicity of some of the substances that make up the panel have not been studied. The paper considers a used polycrystalline solar panel for the study of the integral toxicity of individual components. These components are polymer materials EVA (ethylene vinyl acetate) and Tedlar (polyvinyl fluoride). The results of the experiment allow us to determine the level of danger of the components for the environment.","PeriodicalId":162457,"journal":{"name":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","volume":"549 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":"123508225","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}
引用次数: 0
Simulation of the Load Distribution System on Electric Drives in the Wire Part of the Paper Machine 纸机导线部电传动负荷分配系统仿真
2022 XXV International Conference on Soft Computing and Measurements (SCM) Pub Date : 2022-05-25 DOI: 10.1109/scm55405.2022.9794850
L. P. Kozlova, O. Kozlova
{"title":"Simulation of the Load Distribution System on Electric Drives in the Wire Part of the Paper Machine","authors":"L. P. Kozlova, O. Kozlova","doi":"10.1109/scm55405.2022.9794850","DOIUrl":"https://doi.org/10.1109/scm55405.2022.9794850","url":null,"abstract":"Paper machines for the production of cellulose are complex technical systems that include a number of subsystems on which important technological characteristics depend. The duration of their operation and the quality of the products obtained depend on the correct distribution of the load on the electric drives of the wire part.","PeriodicalId":162457,"journal":{"name":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","volume":"35 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":"129335001","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}
引用次数: 0
Advanced Traffic Sign Recognition System 先进交通标志识别系统
2022 XXV International Conference on Soft Computing and Measurements (SCM) Pub Date : 2022-05-25 DOI: 10.1109/scm55405.2022.9794877
Evgenij M. Macheev, A. V. Devyatkin, Aleksandr R. Muzalevsky
{"title":"Advanced Traffic Sign Recognition System","authors":"Evgenij M. Macheev, A. V. Devyatkin, Aleksandr R. Muzalevsky","doi":"10.1109/scm55405.2022.9794877","DOIUrl":"https://doi.org/10.1109/scm55405.2022.9794877","url":null,"abstract":"Solving the problem of identifying and recognizing traffic signs is one of the most important research topics necessary for designing unmanned vehicles. The paper describes the general implementation of the sign detection subsystem and suggests a solution to the problem of the absence of individual traffic signs in open datasets based on the use of convolutional neural networks.","PeriodicalId":162457,"journal":{"name":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","volume":"1 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":"122553709","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}
引用次数: 1
The Multicollinearity Problem in the Fuzzy Linear Regression Model 模糊线性回归模型中的多重共线性问题
2022 XXV International Conference on Soft Computing and Measurements (SCM) Pub Date : 2022-05-25 DOI: 10.1109/scm55405.2022.9794871
V. Gisin, B. Putko, I. Yarygina
{"title":"The Multicollinearity Problem in the Fuzzy Linear Regression Model","authors":"V. Gisin, B. Putko, I. Yarygina","doi":"10.1109/scm55405.2022.9794871","DOIUrl":"https://doi.org/10.1109/scm55405.2022.9794871","url":null,"abstract":"The paper considers the problem of detecting multicollinearity in a fuzzy linear regression model. An approach is proposed to identify the fuzzy linear dependence of vectors. This approach allows detecting the linear dependence of explanatory variables.","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":"128554551","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}
引用次数: 0
Neuro-fuzzy Model for In-circuit Control Systems 在线控制系统的神经模糊模型
2022 XXV International Conference on Soft Computing and Measurements (SCM) Pub Date : 2022-05-25 DOI: 10.1109/scm55405.2022.9794864
Sergey M. Morozov, M. Kupriyanov
{"title":"Neuro-fuzzy Model for In-circuit Control Systems","authors":"Sergey M. Morozov, M. Kupriyanov","doi":"10.1109/scm55405.2022.9794864","DOIUrl":"https://doi.org/10.1109/scm55405.2022.9794864","url":null,"abstract":"Embedded systems development is a very important area. Devices must provide specific electrical signals. In-circuit control system is able to increase the quality of output or in-circuit signals, which is essential for devices in specific areas. Neuro-fuzzy systems provide an intellectual baseline for developing effective subsystems for signals’ control. Neuro-fizzy model for establishing in-circuit control is provided.","PeriodicalId":162457,"journal":{"name":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","volume":"39 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":"116978429","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}
引用次数: 0
Assessment of Blood Pressure by Photoplethysmogram Signal Based on the Combined Configuration of an Artificial Neural Network 基于人工神经网络组合配置的光容积图信号评估血压
2022 XXV International Conference on Soft Computing and Measurements (SCM) Pub Date : 2022-05-25 DOI: 10.1109/scm55405.2022.9794865
Aleksandr N. Kalinichenko, N. O. Antipov, Aleksej A. Anisimov
{"title":"Assessment of Blood Pressure by Photoplethysmogram Signal Based on the Combined Configuration of an Artificial Neural Network","authors":"Aleksandr N. Kalinichenko, N. O. Antipov, Aleksej A. Anisimov","doi":"10.1109/scm55405.2022.9794865","DOIUrl":"https://doi.org/10.1109/scm55405.2022.9794865","url":null,"abstract":"The paper presents a technique for creating an individualized model for predicting human blood pressure from a photoplethysmogram (PPG) signal. The signals used had a high level of noise, since their registration was performed using a wearable device in adverse conditions. Therefore, much attention was paid to cleaning the signal from interference. To obtain blood pressure estimates, a combination of two machine learning algorithms with different approaches to data analysis was used, in particular a one-dimensional convolutional neural network and a fully connected direct propagation network. Fragments of the photoplethysmogram signal were fed to the input of the convolutional network, and a set of features calculated according to the cycles of the PPG were fed to the input of the direct propagation network. It is shown that the combination of two alternative configurations of neural networks allows you to get more accurate estimates of blood pressure than each of the networks separately.","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":"125395135","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}
引用次数: 0
Recommender Machine for the Formation of an Individual Educational Trajectory 个人教育轨迹形成的推荐机
2022 XXV International Conference on Soft Computing and Measurements (SCM) Pub Date : 2022-05-25 DOI: 10.1109/scm55405.2022.9794857
Vladimir S. Ivanov
{"title":"Recommender Machine for the Formation of an Individual Educational Trajectory","authors":"Vladimir S. Ivanov","doi":"10.1109/scm55405.2022.9794857","DOIUrl":"https://doi.org/10.1109/scm55405.2022.9794857","url":null,"abstract":"The paper substantiates the relevance of using a scalable recommender machine in connection with the growing variability of the educational process. A review and analysis of ready-made solutions was made, on the basis of which a decision was made in designing own solution. The concept and architecture of the proposed solution is presented.","PeriodicalId":162457,"journal":{"name":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","volume":"46 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":"122829135","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}
引用次数: 0
Artificial Intelligence in the Media Industry (on the Minds of AI2Media) 传媒业的人工智能(AI2Media的思考)
2022 XXV International Conference on Soft Computing and Measurements (SCM) Pub Date : 2022-05-25 DOI: 10.1109/scm55405.2022.9794879
V. P. Semenov, Vadim Yu. Myalenka, Alexander I. Yakovlev, Dmitry E. Meshcheryakov
{"title":"Artificial Intelligence in the Media Industry (on the Minds of AI2Media)","authors":"V. P. Semenov, Vadim Yu. Myalenka, Alexander I. Yakovlev, Dmitry E. Meshcheryakov","doi":"10.1109/scm55405.2022.9794879","DOIUrl":"https://doi.org/10.1109/scm55405.2022.9794879","url":null,"abstract":"The AI2Media project is to develop a software package to create a platform for generating unique media content and high-quality business intelligence. AI2Media.com is a media platform that fulfills the basic needs of a potential author or editor.The project is written in Python using the Django framework, as well as NLTK (Natural Language ToolKit), and involves the development of a complex of seven modules. The analysis of these modules is the basis for the formation of a business plan for the research start-up AI2Media, created to effectively support the user in the field of media communications based on hybrid artificial intelligence. The difference between the proposed project and others lies in its systematic nature. The project covers the entire value chain of a media product. The project is being implemented in cooperation with the Faculty of Humanities of St. Petersburg Electrotechnical University \"LETI\", including students of the Department of Public Relations involved in the analysis and development of business processes.","PeriodicalId":162457,"journal":{"name":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","volume":"12 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":"122954538","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}
引用次数: 0
Biomechanics of Professional Pathology of the Spine in Operators of X-ray Cargo-Vision Systems x射线货物视觉系统操作人员脊柱专业病理学的生物力学
2022 XXV International Conference on Soft Computing and Measurements (SCM) Pub Date : 2022-05-25 DOI: 10.1109/scm55405.2022.9794855
D. Afonin, P. Afonin
{"title":"Biomechanics of Professional Pathology of the Spine in Operators of X-ray Cargo-Vision Systems","authors":"D. Afonin, P. Afonin","doi":"10.1109/scm55405.2022.9794855","DOIUrl":"https://doi.org/10.1109/scm55405.2022.9794855","url":null,"abstract":"The article considers the biomechanical aspects of the development of professional pathology of the spine in operators of image analysis of inspection and screening complexes. Much attention is paid to the influence of the professional activity of this category of personnel on the formation of intervertebral hernias and osteochondrosis of the spine.","PeriodicalId":162457,"journal":{"name":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","volume":"236 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":"131933321","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}
引用次数: 0
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