{"title":"Neural Network Solutions for Intellectual Analysis of Heterogeneous Information","authors":"V. Petukhov, Anton Mirko","doi":"10.1109/scm55405.2022.9794884","DOIUrl":"https://doi.org/10.1109/scm55405.2022.9794884","url":null,"abstract":"The paper presents the analysis of existing neural network solutions for the analysis of heterogeneous information on the example of processing data from the built-in sensors of a tablet PC. Two methods based on building sequences of neural networks, as well as a hybrid neural network technology referred to as Hybrid deep neural network (HDNN) were selected.","PeriodicalId":162457,"journal":{"name":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","volume":"342 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120870755","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}
Nadezhda I. Gallini, P. Chetyrbok, D. T. Kamornitskiy, Nikolaj S. Motuz
{"title":"Automation of Search for University Employees Scientific Papers Using Artificial Intelligence Methods","authors":"Nadezhda I. Gallini, P. Chetyrbok, D. T. Kamornitskiy, Nikolaj S. Motuz","doi":"10.1109/scm55405.2022.9794837","DOIUrl":"https://doi.org/10.1109/scm55405.2022.9794837","url":null,"abstract":"The paper substantiates a model of an integrated intelligent system of university research activities (IIS of URAs), which provides for a search for scientific papers and ranks employees. Designed neural network works via the Scikit-Learn package and is used in the implementation of the intelligent system model. This package allows the intelligent system to search for authors scientific papers correctly and quickly. The system is trained using a neural network based on the Keras package. The authors of the article conducted research on further data forecasting and extrapolation for ranking employees.","PeriodicalId":162457,"journal":{"name":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","volume":"11 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":"129350525","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 Method for End-to-end Automatic Test Generation from Natural Language Test Scenarios Based on Pretrained OpenIE Model","authors":"Kirill Kobyshev, S. Molodyakov","doi":"10.1109/scm55405.2022.9794901","DOIUrl":"https://doi.org/10.1109/scm55405.2022.9794901","url":null,"abstract":"The practice of automatic test covering is widespread now. Usually, framework and tests are separately developed, and framework functions are used in tests. We proposed the method to generate E2E tests from functional specification. The method includes the following main steps: test scenarios forming from specification; test scenarios splitting to sentences that will be translated to the one final code line; sentences transformation to syntax tree using pretrained OpenIE model; test steps comparison with testing functions using Word2Vec model; given semantic tree transformation to the Kotlin language code. The method feature is an application of syntax tree to generate tests and framework interfaces. The paper contains the description of protype of system automatically generating Kotlin language tests from natural language specification.","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":"115252376","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":"SCM 2022 Cover Page","authors":"","doi":"10.1109/scm55405.2022.9794874","DOIUrl":"https://doi.org/10.1109/scm55405.2022.9794874","url":null,"abstract":"","PeriodicalId":162457,"journal":{"name":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","volume":"7 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":"125306834","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}
L. Ptitsyna, Anastasia O. Zharanova, Nikita A. Ptitsyn, M. P. Belov
{"title":"Extended Object-Oriented Modeling of Intelligent Information Agent Planners","authors":"L. Ptitsyna, Anastasia O. Zharanova, Nikita A. Ptitsyn, M. P. Belov","doi":"10.1109/scm55405.2022.9794872","DOIUrl":"https://doi.org/10.1109/scm55405.2022.9794872","url":null,"abstract":"The development of artificial intelligence systems for information infrastructures is updated. The purpose of model-analytical intelligence of software information agents is described. Process approach to modeling of intelligent information agent planners is proposed. A family of extended object-oriented models of planners is presented. A method for generating knowledge about the quality profiles of planners is defined. The results of analytical modeling of intelligent information agent planners are presented and analyzed.","PeriodicalId":162457,"journal":{"name":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","volume":"15 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":"133601413","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":"Cumulative Mean Function of Public Posting Episodes in the Online Media with Regard to User’s Digital Traces: Limited Data on publications Dates and Profile Data","authors":"V. F. Stoliarova, A. L. Tulupyev","doi":"10.1109/scm55405.2022.9794894","DOIUrl":"https://doi.org/10.1109/scm55405.2022.9794894","url":null,"abstract":"The problem of behavior associated risk assessment arises in some areas that are closely related with a person’s behavior. The data for this problem is often incomplete, what brings the problem into the soft computing framework. In the paper the cumulative mean function is considered as the characteristic, reflecting the behavior pattern. Two approaches are presented for the modelling of this function in the context of gamma Poisson mathematical model of behavior: the nonparametric approach and regression-based one. Various observed and unobserved individual characteristics can be taken into account in the regression model. The approaches are illustrated with the data on public posting in the online media.","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":"130330012","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}
Gyulyar Akhmedova, Nika D. Bakhtina, A. A. Minina, E. N. Zhdanova
{"title":"Construction of the Concept of Primary Assessment of the Sequestration Potential of Territories","authors":"Gyulyar Akhmedova, Nika D. Bakhtina, A. A. Minina, E. N. Zhdanova","doi":"10.1109/scm55405.2022.9794863","DOIUrl":"https://doi.org/10.1109/scm55405.2022.9794863","url":null,"abstract":"The work is aimed at the subsequent creation of algorithms to increase the reliability of the assessment of the sequestration potential of various types of territories for the development of a geoinformation system of an administrative unit when assessing the state of carbon territories, which will lead to significant progress in the scientific problem of developing competitive distributed information and measurement systems for monitoring territorial systems. The use of such systems is aimed at ensuring environmental sustainability (safety) of the environment.","PeriodicalId":162457,"journal":{"name":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","volume":"57 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":"115093918","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":"Sociocultural and Information Security Issues in the Implementation of Neural Network Technologies in Chat-bots Design","authors":"N. Pokrovskaia","doi":"10.1109/scm55405.2022.9794852","DOIUrl":"https://doi.org/10.1109/scm55405.2022.9794852","url":null,"abstract":"Neural networks are trained on actual material. People in their communication use both socio-cultural rules of courtesy and good taste, and take into account threats to protect data, based on long-term experience and long-term risk prediction. Human behavior provides neural networks with examples of both appropriate behavior and manners with limited application depending on the context, as well as unacceptable and unacceptable behaviors, such as rude emotional discharge or information disclosure in associated metadata. Based on the analysis of several cases of the implementation and functioning of chatbots, the main groups of ethical problems and the main tasks in the field of information security are shown, key approaches to ensuring etiquette and data protection are identified, and proposals are formulated for procedures for machine learning in relation to chatbots in corporate ecosystems.","PeriodicalId":162457,"journal":{"name":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","volume":"36 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":"114379082","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":"Implementation of Complex Control Algorithms at a Gas Production Enterprise","authors":"S. E. Abramkin, Sergey E. Dushun","doi":"10.1109/scm55405.2022.9794873","DOIUrl":"https://doi.org/10.1109/scm55405.2022.9794873","url":null,"abstract":"The introduction of complex algorithms to control the productivity of a gas field, taking into account the quality of gas treatment, is one of the main tasks of the gas industry. An analysis of an automated gas production complex at the stage of declining gas production as a control object is given. The main control algorithms implemented in the automated gas production complex are described.","PeriodicalId":162457,"journal":{"name":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","volume":"175 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":"115919283","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":"Dynamic Positioining Data Analysis Using Wavelet Scaleograms","authors":"E. Ambrosovskaya, D. Romaev, Daniil V. Kalimov","doi":"10.1109/scm55405.2022.9794861","DOIUrl":"https://doi.org/10.1109/scm55405.2022.9794861","url":null,"abstract":"The paper describes the operating modes and features of modern dynamic positioning systems, describes the features of the action of wave perturbation at different speeds and angles of encounter with the wave. To evaluate the properties of the disturbance, it is proposed to use wavelet spectrograms of sensor data of the dynamic positioning system. The results of simulation data processing and numerous sea trials data are presented..","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":"115142962","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}