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2020 XXIII International Conference on Soft Computing and Measurements (SCM)最新文献

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Research of a Recurrent Neural Network for the Vector Representation of Nucleotide Sequences 核苷酸序列向量表示的递归神经网络研究
2020 XXIII International Conference on Soft Computing and Measurements (SCM) Pub Date : 2020-05-01 DOI: 10.1109/SCM50615.2020.9198757
Daniil O. Komarovskikh, Vladislav L. Litvinov, I. A. Kiselev, Artur M. Paniukov, N. I. Trofimov
{"title":"Research of a Recurrent Neural Network for the Vector Representation of Nucleotide Sequences","authors":"Daniil O. Komarovskikh, Vladislav L. Litvinov, I. A. Kiselev, Artur M. Paniukov, N. I. Trofimov","doi":"10.1109/SCM50615.2020.9198757","DOIUrl":"https://doi.org/10.1109/SCM50615.2020.9198757","url":null,"abstract":"Embeddings can be a good way to work with gene sequences, helping to avoid the high computational complexity problems that are often found in multiple sequence alignment. In this paper, we investigate the possibilities of the LSTM network for constructing embeddings of nucleotide sequences. To do this, we trained model on a dataset of 1.5 million pairs of gene sequences belonging to the Escherichia coli species.","PeriodicalId":169458,"journal":{"name":"2020 XXIII International Conference on Soft Computing and Measurements (SCM)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125758077","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
Bayesian BeliefNetwork as a Behavior Intensity Rate Model on the Example of Posting in a Social Network 基于贝叶斯信念网络的社交网络发帖行为强度率模型
2020 XXIII International Conference on Soft Computing and Measurements (SCM) Pub Date : 2020-05-01 DOI: 10.1109/SCM50615.2020.9198795
A. Toropova, T. Tulupyeva
{"title":"Bayesian BeliefNetwork as a Behavior Intensity Rate Model on the Example of Posting in a Social Network","authors":"A. Toropova, T. Tulupyeva","doi":"10.1109/SCM50615.2020.9198795","DOIUrl":"https://doi.org/10.1109/SCM50615.2020.9198795","url":null,"abstract":"Intensity is a very important characteristic of human behavior. Knowing behavior intensity you can make predictions about behavior, which can be used in a number of areas: sociology, economics etc. We present a Bayesian belief network estimating the behavior intensity based on data about last episodes of behavior. We consider the work of this model on the data about posting activity in the social network Vkontakte. The intensity rate predicted by the model and the actual intensity of users posting are compared.","PeriodicalId":169458,"journal":{"name":"2020 XXIII International Conference on Soft Computing and Measurements (SCM)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130944655","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
Temperature Field Control of a Metal Oil-well Tubing for Producing of High-Paraffin Oil 高石蜡油金属采油油管温度场控制
2020 XXIII International Conference on Soft Computing and Measurements (SCM) Pub Date : 2020-05-01 DOI: 10.1109/SCM50615.2020.9198816
Y. Ilyushin, I. M. Novozhilov
{"title":"Temperature Field Control of a Metal Oil-well Tubing for Producing of High-Paraffin Oil","authors":"Y. Ilyushin, I. M. Novozhilov","doi":"10.1109/SCM50615.2020.9198816","DOIUrl":"https://doi.org/10.1109/SCM50615.2020.9198816","url":null,"abstract":"Using of the innovative approach for heating isotropic structures is an urgent task. In oilfield practice are widespread thermal methods for controlling of asphalt-resin-paraffin deposits formation because of their reliability and ease of use. The proposed methodology reduces the final cost of development and operation of the field by saving funds on energy resources.The paper presents the mathematical model of high-paraffin oil movement along a tubing string, observes the method of temperature field formation using pulsed sectional heaters. The authors synthesize a temperature field control system, and perform a numerical experiment on a sample of Sobolinoe oil field.At present the proportion of high-paraffin oil which has a high setting point has significantly increased in the balance of hydrocarbon production. In this regard, specialists face with the problem of its production, preparation, transportation and refining, due to a significant increase in viscosity, as well as loss of fluidity at low ambient temperatures. Paraffin deposits in the bottom-hole formation zone and on the surface of oilfield equipment are one of the most serious complications in the operation of wells and pipeline transport. Paraffin deposits reduce filtration characteristics of the reservoir, clog pores, reduce the useful cross section of tubing and, as a result, significantly complicate production and transportation of oil, increase energy consumption during the mechanized production method, and lead to increased equipment deterioration.One of the solutions to problems mentioned above is the use of additional heating devices during production and transportation. Also solutions require predictive data on behavior of mixtures in the process of their pumping and processing, as well as the development of a set of measures that allow transportation, processing and storage of raw materials in the specific climatic conditions that arise, are also required.","PeriodicalId":169458,"journal":{"name":"2020 XXIII International Conference on Soft Computing and Measurements (SCM)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133012743","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: 2
Model Development and Assessment of a Complex Intersection of a Road Network using Modern Software Systems 基于现代软件系统的复杂路网交叉口模型开发与评估
2020 XXIII International Conference on Soft Computing and Measurements (SCM) Pub Date : 2020-05-01 DOI: 10.1109/SCM50615.2020.9198813
S. A. Seliverstov, Y. Seliverstov, N. Shatalova, O. Korolev, O. V. Borodina, A. Kiselev
{"title":"Model Development and Assessment of a Complex Intersection of a Road Network using Modern Software Systems","authors":"S. A. Seliverstov, Y. Seliverstov, N. Shatalova, O. Korolev, O. V. Borodina, A. Kiselev","doi":"10.1109/SCM50615.2020.9198813","DOIUrl":"https://doi.org/10.1109/SCM50615.2020.9198813","url":null,"abstract":"This paper presents the results of the development of a complex intersection model in St. Petersburg through which all types of public transport (trams, trolleybuses, buses, fixed-route taxis) pass. The model is created using the modern software package PTV VISSIM. Evidence is presented confirming the relevance of the work and application of computer simulation methods to improve the efficiency of the organization of the road network. A review of publications on the development of the PTV VISSIM software package has been completed. A simulation model of the intersection was developed and its effectiveness evaluated.","PeriodicalId":169458,"journal":{"name":"2020 XXIII International Conference on Soft Computing and Measurements (SCM)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132125961","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
Fuzzy Control of the Stabilization Process of Remote-controlled Underwater Robot 遥控水下机器人稳定过程的模糊控制
2020 XXIII International Conference on Soft Computing and Measurements (SCM) Pub Date : 2020-05-01 DOI: 10.1109/SCM50615.2020.9198774
P. Tuan
{"title":"Fuzzy Control of the Stabilization Process of Remote-controlled Underwater Robot","authors":"P. Tuan","doi":"10.1109/SCM50615.2020.9198774","DOIUrl":"https://doi.org/10.1109/SCM50615.2020.9198774","url":null,"abstract":"The article considers the problem of vertical control of a remote-controlled underwater robot. In this regard, there is a need to build a mathematical model of the robot’s movement and the choice of motion control algorithms, on the basis of which remote control can be implemented. The article substantiates the approach to constructing a mathematical model of underwater vehicles of small elongation, proposes a complete model of spatial motion, corresponding to the results of field tests of the robot. The structure of a fuzzy controller for controlling the stabilization of the speed of the robot, as well as ways to conFigure it is proposed. The results of modeling and testing the controlled motion of an underwater robot in a vertical plane are presented, showing the effectiveness of fuzzy control compared to a proportional differential controller. The results can be used to build automatic control systems for the spatial movement of an underwater robot.","PeriodicalId":169458,"journal":{"name":"2020 XXIII International Conference on Soft Computing and Measurements (SCM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128559347","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: 3
Towards Designing Linguistic Assessments Aggregation as a Distributed Neuroalgorithm 基于分布式神经算法的语言评价聚合设计
2020 XXIII International Conference on Soft Computing and Measurements (SCM) Pub Date : 2020-05-01 DOI: 10.1109/SCM50615.2020.9198767
A. Demidovskij, E. Babkin
{"title":"Towards Designing Linguistic Assessments Aggregation as a Distributed Neuroalgorithm","authors":"A. Demidovskij, E. Babkin","doi":"10.1109/SCM50615.2020.9198767","DOIUrl":"https://doi.org/10.1109/SCM50615.2020.9198767","url":null,"abstract":"A challenging problem which arises in the domain of integrating symbolic and sub-symbolic computations within a massively parallel computational environments like Internet of Things is considered in application to the Linguistic Decision Making tasks. A novel theoretical idea is proposed on expressing linguistic operators in dynamics of an artificial neural network. The proposal consists of two consequent stages: expressing linguistic operators as structural manipulations and translating them in a neuroalgorithm. The theoretical foundation is Tensor Product Representation (TPR) that provides a generic framework of designing a neural network that does not require training and produces an exact result equivalent to the result of symbolic algorithms. This paper discusses viability of the proposed idea, demonstrates design of TPR-based arithmetic as a basic building block for construction of such a method and elaborates directions of further research.","PeriodicalId":169458,"journal":{"name":"2020 XXIII International Conference on Soft Computing and Measurements (SCM)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129627758","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: 3
Bayesian Networks as a Tool for Modeling Complex Natural Systems with a High Level of Indeterminacy 贝叶斯网络作为建模具有高度不确定性的复杂自然系统的工具
2020 XXIII International Conference on Soft Computing and Measurements (SCM) Pub Date : 2020-05-01 DOI: 10.1109/SCM50615.2020.9198817
V. Taran
{"title":"Bayesian Networks as a Tool for Modeling Complex Natural Systems with a High Level of Indeterminacy","authors":"V. Taran","doi":"10.1109/SCM50615.2020.9198817","DOIUrl":"https://doi.org/10.1109/SCM50615.2020.9198817","url":null,"abstract":"At the present stage of the development of science, scientists are engaged in the study of big complex systems that are poorly structured, have a high level of uncertainty and unpredictability of the course of various processes, and are complicated by the presence of risk factors in these systems for the appearance of unforeseen situations, which allows them to be attributed to the class of complex tasks of dynamic process analysis random nature. Classic well-studied methods of modeling and forecasting do not give reliable results, which forces us to look for new methods of analysis and research of complex systems. An example of high-performance forecasting methods is Bayesian networks based on expert judgment and a priori and a posteriori observational data. Bayesian confidence networks make it possible to make a probabilistic forecast of both the resulting indicators and shows possible alternatives under the influence of some control factors. They also allow you to automatically build chains of dependencies between factors of different levels, which are based on the results of multiple observations. Bayesian networks are used in various fields of research, including: in medicine, meteorology, and the study of natural disasters.","PeriodicalId":169458,"journal":{"name":"2020 XXIII International Conference on Soft Computing and Measurements (SCM)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126597430","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
Metrics for Cognitive Management of IT Services IT服务认知管理的度量
2020 XXIII International Conference on Soft Computing and Measurements (SCM) Pub Date : 2020-05-01 DOI: 10.1109/SCM50615.2020.9198750
I. Brusakova
{"title":"Metrics for Cognitive Management of IT Services","authors":"I. Brusakova","doi":"10.1109/SCM50615.2020.9198750","DOIUrl":"https://doi.org/10.1109/SCM50615.2020.9198750","url":null,"abstract":"The article presents metrics for managing IT services in a service-oriented architecture of the information system. Cognitive management of the effectiveness of IT services is considered on a variety of ICT infrastructure management metrics, information system management metrics, IT service management metrics. The necessary components of the formation of an analytical platform for the cognitive management of IT services in the EIM environment for SAP BI (Business Objects Business Intelligent) are considered. A model of cognitive management of IT services using key performance indicators (KPIs) for managing IT service metrics is presented.","PeriodicalId":169458,"journal":{"name":"2020 XXIII International Conference on Soft Computing and Measurements (SCM)","volume":"214 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117344656","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
Analysis and Classification of Encrypted Network Traffic Using Machine Learning 使用机器学习的加密网络流量分析与分类
2020 XXIII International Conference on Soft Computing and Measurements (SCM) Pub Date : 2020-05-01 DOI: 10.1109/SCM50615.2020.9198811
V. Muliukha, Leonid U. Laboshin, A. Lukashin, N. Nashivochnikov
{"title":"Analysis and Classification of Encrypted Network Traffic Using Machine Learning","authors":"V. Muliukha, Leonid U. Laboshin, A. Lukashin, N. Nashivochnikov","doi":"10.1109/SCM50615.2020.9198811","DOIUrl":"https://doi.org/10.1109/SCM50615.2020.9198811","url":null,"abstract":"This paper presents a prototype of an intelligent system for advanced analytics of encrypted traffic with the implementation of models and software developed in Peter the Great St. Petersburg Polytechnic University. Article presents methods for classifying encrypted traffic and examines the effectiveness of classifying applications in encrypted SSL sessions and determining user actions in VPN connections. The article presents the results of experimental studies of software that allows classification of encrypted traffic. The results of classification of VPN connections using the random forest algorithm are presented, as well as the results of classification of SSL traffic using naive Bayesian classifier.","PeriodicalId":169458,"journal":{"name":"2020 XXIII International Conference on Soft Computing and Measurements (SCM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128717077","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: 7
The Use of Artificial Intelligence in Cyber-Physical Systems 人工智能在信息物理系统中的应用
2020 XXIII International Conference on Soft Computing and Measurements (SCM) Pub Date : 2020-05-01 DOI: 10.1109/SCM50615.2020.9198749
D. P. Plakhotnikov, E. E. Kotova
{"title":"The Use of Artificial Intelligence in Cyber-Physical Systems","authors":"D. P. Plakhotnikov, E. E. Kotova","doi":"10.1109/SCM50615.2020.9198749","DOIUrl":"https://doi.org/10.1109/SCM50615.2020.9198749","url":null,"abstract":"Cyber-physical systems are an important component of the information age. Currently, to improve the operation of the components of cyber-physical systems, methods of artificial intelligence, such as deep learning algorithms, are increasingly being used. Along with the development of the field of artificial intelligence, cyber-physical systems are developing as well, for the quality of the work of such systems is largely determined by the quality of the processing information in the systems. Therefore, nowadays the use of artificial intelligence for cyber-physical systems is a vital task.","PeriodicalId":169458,"journal":{"name":"2020 XXIII International Conference on Soft Computing and Measurements (SCM)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128738642","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: 2
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