科学决策 Pub Date : 2019-05-01 DOI: 10.2991/ITIDS-19.2019.47

Y. Polishchuk, I. N. Muratov, M. Kupriyanov, V. Polishchuk

{"title":"Modeling Spatial Structure of Thermokarst Lake Fields in Siberian Arctic by Satellite Imagery Based on Geo-Simulation and Heuristic Approaches","authors":"Y. Polishchuk, I. N. Muratov, M. Kupriyanov, V. Polishchuk","doi":"10.2991/ITIDS-19.2019.47","DOIUrl":"https://doi.org/10.2991/ITIDS-19.2019.47","url":null,"abstract":"On the basis of geo-simulation and heuristic approaches, a model of the spatial structure of thermokarst lakes fields has been developed, which allows to take into account the lognormal distribution of real lakes in size and tortuosity of their coastal boundaries. As a result, the model represents lakes of all sizes, including small lakes, which are considered as the most intense sources of methane emission into the atmosphere from thermokarst lakes. The log-normal size distribution is confirmed by experimental data based on the integration of data from images of medium and high spatial resolution in the northern territories of Western Siberia. Studies of the statistical properties of the tortuosity of the coastal boundaries of the lakes using high-resolution images of Kanopus-V showed that the distribution of the the degree of tortuosity corresponds to the normal law. The statistical characteristics of the degree of tortuosity of real lakes are determined. On the basis of the heuristic approach, a method of forming model objects of arbitrary shape with a given area and degree of tortuosity in the Cartesian coordinate system has been developed. An algorithm for modeling the spatial structure of the fields of thermokarst lakes is described. Keywords—geo-simulation, heuristic modeling, remote sensing, thermokarst lakes, lake size-distribution, the tortuosity of coastal lakes, modeling algorithm, greenhouse gases, global warming","PeriodicalId":63242,"journal":{"name":"科学决策","volume":"20 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82671860","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

Decision Support in Assessing the Quality of Students' Educational and Scientific Work Based on Automated Text Analysis of the Document 基于文献文本自动分析的学生教育科学工作质量评估决策支持

科学决策 Pub Date : 2019-05-01 DOI: 10.2991/ITIDS-19.2019.15

N. Minasova, S. Tarkhov, L. Tarkhova

引用次数: 0

Summarizing Emotions from Text Using Plutchik’s Wheel of Emotions 用普鲁契克的情感转轮来总结文本中的情感

科学决策 Pub Date : 2019-05-01 DOI: 10.2991/ITIDS-19.2019.52

Manshad Abbasi Mohsin, A. Beltiukov

引用次数: 19

Cloud Environment for Development and Use of Software Systems for Clinical Medicine and Education 临床医学和教育软件系统开发和使用的云环境

科学决策 Pub Date : 2019-05-01 DOI: 10.2991/itids-19.2019.40

V. Gribova, Philip Moskalenko, M. Petryaeva, D. Okun

引用次数: 4

The New Combined Closed-Solution for 3D Reconstruction of Environment Based on Iterative Closest Point Algorithm 基于迭代最近点算法的三维环境重建新组合封闭解

科学决策 Pub Date : 2019-05-01 DOI: 10.2991/ITIDS-19.2019.4

A. Vokhmintcev, A. Melnikov, S. Pachganov, Vladimir Burlutskii

{"title":"The New Combined Closed-Solution for 3D Reconstruction of Environment Based on Iterative Closest Point Algorithm","authors":"A. Vokhmintcev, A. Melnikov, S. Pachganov, Vladimir Burlutskii","doi":"10.2991/ITIDS-19.2019.4","DOIUrl":"https://doi.org/10.2991/ITIDS-19.2019.4","url":null,"abstract":"This The scientific problem at solving which the present project is directed consists in the development of accurate methods for reconstruction of a three-dimensional map of the accessible of environment with requied accuracy of reconstruction. The problem of consistent aligning of 3D point data is known registration task. The most popular registration algorithm is the Iterative Closest Point algorithm. Three basic problems are characteristic for the ICP algorithm: first, the convergence of the algorithm depends strongly on the choice of the initial approximation; second, the algorithm does not take into account the local shape of the surface around each point; and, third, the search for the nearest points is of high computational complexity. In this paper a new close solutions to 3D total variation regularization will be obtained and effective algorithms for restoring 3D data will be designed. The proposed approach improves the accuracy and convergence of reconstruction methods for complex and large-scale scenes. The performance and computational complexity of the proposed RGB-D Mapping algorithm in real indoor environments is discussed. Keywords—simultaneous localization and mapping; a threedimensional map; iterative closest point algorithm; orthogonal transformations; variational problem of the point-to-point","PeriodicalId":63242,"journal":{"name":"科学决策","volume":"26 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85293444","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 Grey Wolf Optimizer Algorithm Modification for Enhanced Performance of Autonomous Underwater Vehicles in a Physical Field Survey 改进灰狼优化算法提高自主水下航行器在物理野外调查中的性能

科学决策 Pub Date : 2019-05-01 DOI: 10.2991/itids-19.2019.33

A. Tolstikhin, S. Bakhvalov, A. Dorofeev, R. Bazhenov

{"title":"The Grey Wolf Optimizer Algorithm Modification for Enhanced Performance of Autonomous Underwater Vehicles in a Physical Field Survey","authors":"A. Tolstikhin, S. Bakhvalov, A. Dorofeev, R. Bazhenov","doi":"10.2991/itids-19.2019.33","DOIUrl":"https://doi.org/10.2991/itids-19.2019.33","url":null,"abstract":"The purpose of the study is to modify the Grey Wolf Algorithm. It is aimed at increasing the speed of the mission execution in order to examine a physical field and detect anomalies. It should consider the limitations imposed by the physical model of the group of autonomous unmanned underwater vehicles operation. For this aim, the simulator is deigned in an integrated development environment NetBeans for Java programming language. To assess the algorithm efficiency, a computational experiment was performed using several types of real physical fields as the source data. The simulation outcomes were compared to those obtained by the tack survey method. The study shows that the proposed algorithm provides better management of a group of autonomous uninhabited underwater vehicles than the wellestablished tack method of examining the physical field. The modified Grey Wolf Algorithm used in applied problems within the physical field survey proved to be beneficial and reliable. In spite of satisfactory test results, it is necessary to confirm the usage of the algorithm by real autonomous unmanned underwater vehicles. It is required to continue investigating the operation of the Grey Wolf Algorithm in a dynamically changing environment and the influence of different control functions on it. Keywords—Grey Wolf Optimizer, swarm algorithms, autonomous unmanned underwater vehicles control, autonomous unmanned underwater vehicles, optimization algorithms component.","PeriodicalId":63242,"journal":{"name":"科学决策","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80010270","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

The Accounting and Management Procedure Model for Material and Energy Flows in the Enterprises of Building Materials Production 建材生产企业物质与能量流动的会计核算与管理程序模型

科学决策 Pub Date : 2019-05-01 DOI: 10.2991/itids-19.2019.42

P. Charikov, R. Kadyrov

{"title":"The Accounting and Management Procedure Model for Material and Energy Flows in the Enterprises of Building Materials Production","authors":"P. Charikov, R. Kadyrov","doi":"10.2991/itids-19.2019.42","DOIUrl":"https://doi.org/10.2991/itids-19.2019.42","url":null,"abstract":"The paper notes the importance of classifying material flows in relation to the logistic system itself and its elements, nomenclature and assortment. On the example of a chemical company, a simulation of the process of accounting for material costs in the processing of raw materials, where material flows are required, is considered. Using the Cobit methodology, we have established target benefits for the business, its adequacy of the business strategy: optimization of the cost of material resources, regularity and availability of material resources, ensuring the stability of the quality of raw materials. The quantitative and qualitative indicators of material flows in the processing of raw materials are analyzed. System models of business processes were developed as some dynamic and structural program models. A mathematical model has been developed to assess the efficiency of the distribution of material resources. To assess the importance of the components, an adaptive control algorithm is applied by the magnitude of the error in the feedback section. The objective function is to minimize the standard deviations of the actual values from the given values. The structure of the database will allow to inform about the results of production in different time periods and for different blocks. The goals of stock minimization, quality control and production are implemented programmatically. Software support added. Keywords—modeling, business processes, material flows, Cobit, account policy, optimization of expenses, ER diagram.","PeriodicalId":63242,"journal":{"name":"科学决策","volume":"42 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84599302","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

Vulnerability Analysis of Intelligent Integrated Energy Systems 智能集成能源系统脆弱性分析

科学决策 Pub Date : 2019-05-01 DOI: 10.2991/itids-19.2019.14

E. Barakhtenko, D. Sokolov, A. Edelev, S. Gorsky

引用次数: 2

The Study of the Problems of the Master-Slave Teleoperation Control Anthropomorphic Manipulator 主从遥操作控制拟人机械手问题的研究

科学决策 Pub Date : 2019-05-01 DOI: 10.2991/ITIDS-19.2019.29

V. Petrenko, F. Tebueva, M. Gurchinsky, S. Ryabtsev, N. Svistunov

引用次数: 2

Data Analysis Methods for Support Decision Making at Management of Complex Systems 支持复杂系统管理决策的数据分析方法

科学决策 Pub Date : 2019-05-01 DOI: 10.2991/ITIDS-19.2019.49

N. Yusupova, O. Smetanina, E. Sazonova

{"title":"Data Analysis Methods for Support Decision Making at Management of Complex Systems","authors":"N. Yusupova, O. Smetanina, E. Sazonova","doi":"10.2991/ITIDS-19.2019.49","DOIUrl":"https://doi.org/10.2991/ITIDS-19.2019.49","url":null,"abstract":"Problems of organizing decision support in the management of complex systems based on data mining are discussed in this article; also, the state of the art is presented. The specificity of data used for analysis is noted, along with the array of historical and current data. The problem is stated, methods for organizing decision-making information support with set of recommendations are proposed. The proposed methodology includes collection and preparation of data for analysis, identification of new knowledge based on similarity of objects using clustering, their integration with expert knowledge, formalization of knowledge and formation of the knowledge base, obtaining solutions while making use of knowledge and inference engine. Tools for data mining, namely, the analytical platform Deductor Studio, are shown. The results of experimental studies based on the proposed method are provided. The system of production rules and the inference engine are proposed to use for organization of decision-making support. In this case, a consequent set of rules is presented in the form of recommendations for opening branch, which is shown as the boundary values of several characteristics. The boundary values are determined by results of an object entering the cluster, which is revealed by conducting cluster analysis using neural network apparatus. The specially developed software solution is used to implement solutions based on the system of production rules. Keywords—Data mining, production rules, Kohonen maps/Self-organizing map, inference engine, decision support.","PeriodicalId":63242,"journal":{"name":"科学决策","volume":"36 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89338861","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

科学决策最新文献