Short Paper Proceedings of the 2nd Siberian Scientific Workshop on Data Analysis Technologies with Applications 2021最新文献

Analysis of the Effectiveness of NoSQL Solutions for Big Data Processing 大数据处理NoSQL解决方案有效性分析

Short Paper Proceedings of the 2nd Siberian Scientific Workshop on Data Analysis Technologies with Applications 2021 Pub Date : 1900-01-01 DOI: 10.47813/sibdata-2-2021-4

A. Vlasov, Georgy Biryukov, P. Repnikov

{"title":"Analysis of the Effectiveness of NoSQL Solutions for Big Data Processing","authors":"A. Vlasov, Georgy Biryukov, P. Repnikov","doi":"10.47813/sibdata-2-2021-4","DOIUrl":"https://doi.org/10.47813/sibdata-2-2021-4","url":null,"abstract":"The paper discusses a visual technique for the cluster and criterial analysis of the performance indicators of NoSQL solutions based on a property space model implemented in the form of a visual cobweb model. An approach to assessing the performance indicators of data management systems is presented. The analysis of the development trend of promising data storage architectures and position of the NoSQL solutions is carried out. The main significant factors for the construction of the efficiency matrix are formalized. The types of the NoSQL solutions, their main advantages and disadvantages are analyzed, and recommendations for their use are given. The effectiveness of the NoSQL solutions depending on their type is estimated. As a result of the analysis, it is shown that it is advisable to use the NoSQL solutions when processing a large amount of semi-structured and unstructured data (Big Data) in a distributed system. The proposed method for assessing the efficiency based on the property space makes it possible to evaluate the considered solutions according to a set of criteria: volume, complexity, clustering, encapsulation, interface, and CAP indicators.","PeriodicalId":279019,"journal":{"name":"Short Paper Proceedings of the 2nd Siberian Scientific Workshop on Data Analysis Technologies with Applications 2021","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131036900","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

Method of Data Mining on the State of Industries in Russian Regions with Regard to Social Factors 考虑社会因素的俄罗斯地区工业状况数据挖掘方法

Short Paper Proceedings of the 2nd Siberian Scientific Workshop on Data Analysis Technologies with Applications 2021 Pub Date : 1900-01-01 DOI: 10.47813/sibdata-2-2021-6

B. Ilyasov, E. Makarova, E. Zakieva, E. Gabdullina, M. Mansurova

{"title":"Method of Data Mining on the State of Industries in Russian Regions with Regard to Social Factors","authors":"B. Ilyasov, E. Makarova, E. Zakieva, E. Gabdullina, M. Mansurova","doi":"10.47813/sibdata-2-2021-6","DOIUrl":"https://doi.org/10.47813/sibdata-2-2021-6","url":null,"abstract":"A method of data mining on the state of industrial sectors in the regions of Russia, taking into account social factors, was developed. The method is based on the development of a hierarchical structure of initial features and application of the principal component analysis according to the constructed structure. The necessity of decomposing a set of the initial features is justified, due to the fact that the results of the preliminary principal component of a large number of features turned out to be cumbersome and difficult to interpret. A two-level decomposition tree of the set of the initial features was developed. The analysis is carried out in accordance with the developed tree structure of the initial features. Three samples of the lower level and one sample of the upper level were selected. The use of the principal component analysis of the lower-level samples allowed us to assess the state of regions from various viewpoints: the development of the extractive industry, manufacturing industry and electric power industry, taking into account social factors. Fuzzy rules for clustering the regions in the space of the features of the lower-level samples are formed. Based on the constructed principal components for the samples of the lower level, an integral sample of the upper level is formed, which allows assessing the level of development of the regions as a whole. The proposed method of data mining should be used to compile a database of the fuzzy rules of an intelligent decision support system for managing the socio-economic development of the regions.","PeriodicalId":279019,"journal":{"name":"Short Paper Proceedings of the 2nd Siberian Scientific Workshop on Data Analysis Technologies with Applications 2021","volume":"254 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121275473","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

Data Mining for Estimating Living Standards in the Constituent Entities of the Russian Federation 估算俄罗斯联邦组成实体生活水平的数据挖掘

Short Paper Proceedings of the 2nd Siberian Scientific Workshop on Data Analysis Technologies with Applications 2021 Pub Date : 1900-01-01 DOI: 10.47813/sibdata-2-2021-7

B. Ilyasov, E. Makarova, E. Zakieva, E. Gabdullina, Timur, Teregulov

{"title":"Data Mining for Estimating Living Standards in the Constituent Entities of the Russian Federation","authors":"B. Ilyasov, E. Makarova, E. Zakieva, E. Gabdullina, Timur, Teregulov","doi":"10.47813/sibdata-2-2021-7","DOIUrl":"https://doi.org/10.47813/sibdata-2-2021-7","url":null,"abstract":"The issues of increasing the efficiency of socio-economic management processes aimed at improving the living standards of the population in the Russian Federation are of great importance. To make rational, well-grounded management decisions, accurate information about the current situation in the constituent entities of the Russian Federation is required. Analytical information is formed by performing various studies to determine the index of living standard to assess regional differences and analyze the well-being of the population, taking into account the degree of its differentiation. Methods of data mining, in particular, the method of principal components and method of cluster analysis, are used as a toolkit for determining the index of the population living standards. The information material for the study is the indicators of the standard of living of the population published in the official bulletins of the Federal State Statistics Service of the Russian Federation. The analysis procedure is performed in the Statgraphics software package. The article presents a cluster structure of the standard of living of the population in the regions of the Russian Federation, including six clusters. The characteristics of each cluster are formed in terms of GRP, monetary income of the population, unemployment, housing provision, mortality, migration flows, etc. The results of the study make it possible to increase the validity of decisionmaking in the management of socio-economic systems from the standpoint of sustainable development of the standard of living of the population.","PeriodicalId":279019,"journal":{"name":"Short Paper Proceedings of the 2nd Siberian Scientific Workshop on Data Analysis Technologies with Applications 2021","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123575720","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

Analysis of Communication Channels for the Organization of Control and Interaction of UAVs from the Security Viewpoint 从安全角度分析无人机控制与交互组织的通信通道

Short Paper Proceedings of the 2nd Siberian Scientific Workshop on Data Analysis Technologies with Applications 2021 Pub Date : 1900-01-01 DOI: 10.47813/sibdata-2-2021-3

E. Basan, O. Peskova, M. Lapina

引用次数: 2

Creating catalogues of clothes images using neural networks 使用神经网络创建服装图像目录

Short Paper Proceedings of the 2nd Siberian Scientific Workshop on Data Analysis Technologies with Applications 2021 Pub Date : 1900-01-01 DOI: 10.47813/sibdata-2-2021-1

A. Korobko, A. Korobko, Aleksei V. Markovin

{"title":"Creating catalogues of clothes images using neural networks","authors":"A. Korobko, A. Korobko, Aleksei V. Markovin","doi":"10.47813/sibdata-2-2021-1","DOIUrl":"https://doi.org/10.47813/sibdata-2-2021-1","url":null,"abstract":"A lot of businessmen, companies and brands have created their accounts on Instagram using this social network as a platform for the promotion and sales of their goods, work and services. Despite all the possibilities which Instagram holds, the promotion of goods under the conditions of market saturation is a complicated task. It is becoming urgent to search for new technological solutions which would provide collecting images of goods from Instagram business accounts and aggregating this information in one integrated on-line marketplace, taking into account the requirements formed by the sales of clothes in e-commerce. The present study is devoted to the practical test of the approach to automatically cataloguing of goods based on images with the help of neural networks in the frames of collecting and aggregating information about goods from Instagram business accounts in an integrated on-line marketplace. The experience of applying neural network models is studied for the fashion industry in general and, in particular, for the cataloguing of clothes images. The applied methods and approaches of building convolutional neural networks are described and substantiated. The architecture of two neural network models for determining the colour and category of clothes from their images is described in detail. The accuracy of the model as well as the losses during learning and testing is estimated. The accuracy of the models is compared with the accuracy of a random classification. Testing the basic configurations allows one to determine the directions for future research, to formulate forthcoming scientific and technical problems and to form reference values of the classification accuracy for estimating the efficiency of more complex models.","PeriodicalId":279019,"journal":{"name":"Short Paper Proceedings of the 2nd Siberian Scientific Workshop on Data Analysis Technologies with Applications 2021","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131363171","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

Application of Association Rule Mining to Detect “Spike” Disruptions in Aluminum Production 关联规则挖掘在铝生产“尖峰”中断检测中的应用

Short Paper Proceedings of the 2nd Siberian Scientific Workshop on Data Analysis Technologies with Applications 2021 Pub Date : 1900-01-01 DOI: 10.47813/sibdata-2-2021-2

引用次数: 0

Analysis of GRACE Satellite Data in Terms of Geomonitoring of Strong Underwater Earthquakes GRACE卫星资料在水下强震地质监测中的应用分析

Short Paper Proceedings of the 2nd Siberian Scientific Workshop on Data Analysis Technologies with Applications 2021 Pub Date : 1900-01-01 DOI: 10.47813/sibdata-2-2021-9

V. Kashkin, T. Rubleva, K. Simonov

引用次数: 0

Analysis of Data Formats of Visual Models of System Design in Conditions of Synchronous Design Technologies 同步设计技术条件下系统设计可视化模型的数据格式分析

Short Paper Proceedings of the 2nd Siberian Scientific Workshop on Data Analysis Technologies with Applications 2021 Pub Date : 1900-01-01 DOI: 10.47813/sibdata-2-2021-5

A. Vlasov, V. Shakhnov, L. Juravleva

{"title":"Analysis of Data Formats of Visual Models of System Design in Conditions of Synchronous Design Technologies","authors":"A. Vlasov, V. Shakhnov, L. Juravleva","doi":"10.47813/sibdata-2-2021-5","DOIUrl":"https://doi.org/10.47813/sibdata-2-2021-5","url":null,"abstract":"The paper considers the methodology of synchronizing visual models of the system project through knowledge XML templates. The object of study is the means of formal description, storage, and transfer of design information about complex systems in the context of digital industry transformation. A new concept of system analysis of complex systems and the generalized design environment which implements it are analyzed. The study suggests a concept of cognitive metalanguage VI-XML implementing metaphors of cognitive visualization, taking into account the synchronization of different abstraction levels. This allows the encapsulation of visual metaphors of different abstraction levels into a single closed multi-level system model. Methods of establishing correspondence between the elements of heterogeneous diagrams of visual models are proposed, and the mechanism of translating component representation of the diagram to VI-XML and vice versa based on knowledge paradigms is substantiated. The proposed method is based on the integrated adaptive visual design environment, which analyzes components of visual-conceptual, structural-functional, and object models of various notations in a single decision tree. The method provides an efficient and adequate representation of the subject area knowledge in multi-level visual models and implementation of management tools in terms of their evolutionary development and adaptation to the demands of the system project.","PeriodicalId":279019,"journal":{"name":"Short Paper Proceedings of the 2nd Siberian Scientific Workshop on Data Analysis Technologies with Applications 2021","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115707899","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

Implementation of Digital Twins for the Analysis of Test Programs of Technical Systems 数字孪生在技术系统测试程序分析中的应用

Short Paper Proceedings of the 2nd Siberian Scientific Workshop on Data Analysis Technologies with Applications 2021 Pub Date : 1900-01-01 DOI: 10.47813/sibdata-2-2021-8

O. Isaeva, N. Kulyasov, S. Isaev

{"title":"Implementation of Digital Twins for the Analysis of Test Programs of Technical Systems","authors":"O. Isaeva, N. Kulyasov, S. Isaev","doi":"10.47813/sibdata-2-2021-8","DOIUrl":"https://doi.org/10.47813/sibdata-2-2021-8","url":null,"abstract":"This article presents a method for the analysis of test programs for informational interaction of technical systems with the command-and-software control. The study also deals with the creation of formal principles of the analysis of the structure and knowledge base of the intellectual simulation model, as well as it considers the tools for their infographic presentation. The new method is based on building and using digital twins combining the software-and-mathematical models of devices and knowledge bases describing the principles of their functioning and retrospective and operational data acquired during testing of the real equipment. The stages of the method implementation include the construction of digital twins of the function of the tested object, automated building of the knowledge base from the test programs, comparison of the constructed knowledge bases, simulation of environmental systems during autonomous tests and analysis of the informational interaction of the tested devices. The knowledge base is built on the basis of the parameters set in the test programs determining commands, ways of data transmission, tickets and actions of the onboard systems. The rules of the knowledge bases are simply interpreted, clear and they are described in terms of the subject area. The method provides the consideration of the existing variety of methods for the onboard equipment control performed on the basis of different approaches and communication protocols which can be set in the model during the onboard equipment design.","PeriodicalId":279019,"journal":{"name":"Short Paper Proceedings of the 2nd Siberian Scientific Workshop on Data Analysis Technologies with Applications 2021","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122990306","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