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2020 13th International Conference "Management of large-scale system development" (MLSD)最新文献

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Risk Analysis in Agriculture and Methods to Manage Them 农业风险分析及管理方法
2020 13th International Conference "Management of large-scale system development" (MLSD) Pub Date : 2020-09-28 DOI: 10.1109/MLSD49919.2020.9247789
Kiselev Valeriy Georgievich
{"title":"Risk Analysis in Agriculture and Methods to Manage Them","authors":"Kiselev Valeriy Georgievich","doi":"10.1109/MLSD49919.2020.9247789","DOIUrl":"https://doi.org/10.1109/MLSD49919.2020.9247789","url":null,"abstract":"The paper considers the risks to which farms specializing in production in two sectors are exposed: crop production and animal husbandry. The ways to deal with these risks are listed. Insurance and hedging are discussed in more detail as these methods. In animal husbandry, in case of lack of feed, a method for maximizing the production based on a dynamic model of animal husbandry is proposed. The problems of information support associated with this are discussed.","PeriodicalId":103344,"journal":{"name":"2020 13th International Conference \"Management of large-scale system development\" (MLSD)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121415167","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
Mortality forecasting: Neural network approach 死亡率预测:神经网络方法
2020 13th International Conference "Management of large-scale system development" (MLSD) Pub Date : 2020-09-28 DOI: 10.1109/MLSD49919.2020.9247775
Vasily Gorlishchev, Anatoly Michalsky
{"title":"Mortality forecasting: Neural network approach","authors":"Vasily Gorlishchev, Anatoly Michalsky","doi":"10.1109/MLSD49919.2020.9247775","DOIUrl":"https://doi.org/10.1109/MLSD49919.2020.9247775","url":null,"abstract":"Application of an artificial neural network (NN) for predicting human mortality and life expectancy has been studied. Obtained NN reflects current demographic theories, according to which mortality trends in countries with high life expectancy converge to a common trend, and the difference in the life expectancy of men and women is decreasing.","PeriodicalId":103344,"journal":{"name":"2020 13th International Conference \"Management of large-scale system development\" (MLSD)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122956432","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
Structural Dynamics, Economic Growth and Macroeconomic Policy in Russia 俄罗斯的结构动力学、经济增长和宏观经济政策
2020 13th International Conference "Management of large-scale system development" (MLSD) Pub Date : 2020-09-28 DOI: 10.1109/MLSD49919.2020.9247799
O. Sukharev
{"title":"Structural Dynamics, Economic Growth and Macroeconomic Policy in Russia","authors":"O. Sukharev","doi":"10.1109/MLSD49919.2020.9247799","DOIUrl":"https://doi.org/10.1109/MLSD49919.2020.9247799","url":null,"abstract":"The purpose of the research is to determine the conditions for a new model of economic growth in Russia. The subject is the economic structure of the Russian economy. The research methodology is structure analysis, the pair correlation method. The result of the application of these methods is the determination of the sensitivity of the contribution to the growth rate of the components of Russia's GDP to macroeconomic instruments, as well as the degree of their influence on GDP over the considered time interval. Using the pair correlation method, it was found that inflation did not significantly slow down the economic growth of Russia in the period 2001-2018, the increase in the money supply M2 stimulated growth, as well as lower portage rates. It is also shown that structural policy is an indispensable way of creating a new growth model in Russia, and reduced only to palliative measures in the form of institutional changes, creating an environment for business and the like, without changing sectoral economic proportions, it will not ensure the creation of economic growth of a new quality. One way to rectify sectoral interactions is to reduce risk in manufacturing sectors and equalize returns between the transaction, raw materials and manufacturing sectors of the Russian economy.","PeriodicalId":103344,"journal":{"name":"2020 13th International Conference \"Management of large-scale system development\" (MLSD)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121192858","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
Algorithm of Building Regression Decision Tree Using Complementary Features 基于互补特征的回归决策树构建算法
2020 13th International Conference "Management of large-scale system development" (MLSD) Pub Date : 2020-09-28 DOI: 10.1109/MLSD49919.2020.9247785
S. Saltykov
{"title":"Algorithm of Building Regression Decision Tree Using Complementary Features","authors":"S. Saltykov","doi":"10.1109/MLSD49919.2020.9247785","DOIUrl":"https://doi.org/10.1109/MLSD49919.2020.9247785","url":null,"abstract":"In the so-called explained artificial intelligence, there is a need to build small models, but accurate and intuitive for the analyst. It is necessary to formalize, which models are perceived by analysts and decision-makers as intuitively understandable and plausible.It’s shown that the use of accumulated information about additional to each other in some sense, complementary features can improve the accuracy of the small regression decision trees, as well as make them more plausible. The formal definition of the complementarities of the feathers is proposed. Algorithm of building regression decision tree with complementary features is presented. Condition of plausibility of two-levels decision tree is described.","PeriodicalId":103344,"journal":{"name":"2020 13th International Conference \"Management of large-scale system development\" (MLSD)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130326549","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
Ways to Improve the Intelligence of Algorithms for Optimal Load Distribution at CHP Plants With Complex Equipment Composition 提高设备结构复杂的热电联产电厂负荷优化分配算法智能化的途径
2020 13th International Conference "Management of large-scale system development" (MLSD) Pub Date : 2020-09-28 DOI: 10.1109/MLSD49919.2020.9247651
E. Arakelyan, F. Pashchenko, A. Andryushin, A. Kosoy, Y. Yagupova, M. S. Leonov
{"title":"Ways to Improve the Intelligence of Algorithms for Optimal Load Distribution at CHP Plants With Complex Equipment Composition","authors":"E. Arakelyan, F. Pashchenko, A. Andryushin, A. Kosoy, Y. Yagupova, M. S. Leonov","doi":"10.1109/MLSD49919.2020.9247651","DOIUrl":"https://doi.org/10.1109/MLSD49919.2020.9247651","url":null,"abstract":"In this work, the research team reviewed problems and presented solutions integration methods, deep learning and artificial intelligence libraries, in modern software and hardware complexes for solving problems of optimum allocation of the current heat and power production in CHP plants with complex equipment connected with the necessity of considering a large number of constraints and handling large numbers of parameters. A variant of building an intelligent system is proposed, which, in addition to a number of intelligent functions, aims to evaluate immeasurable or poorly measured parameters quantitatively, identify the current technical condition of the equipment and recommend either a solution available in the database, or conduct new calculations.","PeriodicalId":103344,"journal":{"name":"2020 13th International Conference \"Management of large-scale system development\" (MLSD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130355223","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
Features of Using Optimization Models for Capacity Expansion Planning in the Power Systems with the Increasing Role of Renewable Energy Sources 可再生能源作用日益增强的电力系统扩容规划优化模型的特点
2020 13th International Conference "Management of large-scale system development" (MLSD) Pub Date : 2020-09-28 DOI: 10.1109/MLSD49919.2020.9247700
F. Veselov, I. Erokhina, A. Khorshev
{"title":"Features of Using Optimization Models for Capacity Expansion Planning in the Power Systems with the Increasing Role of Renewable Energy Sources","authors":"F. Veselov, I. Erokhina, A. Khorshev","doi":"10.1109/MLSD49919.2020.9247700","DOIUrl":"https://doi.org/10.1109/MLSD49919.2020.9247700","url":null,"abstract":"Current trends in the development of optimization capacity expansion models for planning the development of power systems with the active growth of renewable energy sources (RES) are considered. The results of forecasting the conditions of inter-fuel competition in the Unified Power System (UPS) of Russia as well as a comprehensive assessment of energy and economic effects of various scales of RES development using the EPOS optimization model are presented","PeriodicalId":103344,"journal":{"name":"2020 13th International Conference \"Management of large-scale system development\" (MLSD)","volume":"172 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114380546","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
Unmanned Vehicle Control System Using Microwave Sensors 利用微波传感器的无人驾驶车辆控制系统
2020 13th International Conference "Management of large-scale system development" (MLSD) Pub Date : 2020-09-28 DOI: 10.1109/MLSD49919.2020.9247759
D. Khablov
{"title":"Unmanned Vehicle Control System Using Microwave Sensors","authors":"D. Khablov","doi":"10.1109/MLSD49919.2020.9247759","DOIUrl":"https://doi.org/10.1109/MLSD49919.2020.9247759","url":null,"abstract":"To effectively manage the flow of unmanned vehicles in large manufacturing plants and warehouses, both in open spaces and indoors, an accurate dynamic positioning system is required. This is necessary to optimize routes in order to increase the speed of movement and prevent collisions. The article considers the application of an autonomous navigation system that uses radar motion sensors together with odometric data. The developed algorithm of adaptive data filtering based on the Kalman filter is described, which allows continuously receiving information about the current position of unmanned vehicles with the required accuracy. As a result, it is possible to optimize the trajectory of all unmanned vehicles in dynamics in order to increase the productivity and reliability of cargo transportation.","PeriodicalId":103344,"journal":{"name":"2020 13th International Conference \"Management of large-scale system development\" (MLSD)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123123852","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
Identification of Integrated Rating Mechanisms as Optimization Problem 作为优化问题的综合评级机制辨识
2020 13th International Conference "Management of large-scale system development" (MLSD) Pub Date : 2020-09-28 DOI: 10.1109/MLSD49919.2020.9247638
V. Burkov, N. Korgin, V.A. Sergeev
{"title":"Identification of Integrated Rating Mechanisms as Optimization Problem","authors":"V. Burkov, N. Korgin, V.A. Sergeev","doi":"10.1109/MLSD49919.2020.9247638","DOIUrl":"https://doi.org/10.1109/MLSD49919.2020.9247638","url":null,"abstract":"A problem of identification of an integrated ranking mechanism is considered. We present a perspective approach to the task of identification of an integrated ranking mechanism - we show that representation of any such mechanism in one-hot encoded form allows us to formulate such a task as an optimization problem that may be solved with a wide variety of optimization techniques. The approach suggested is illustrated by several examples of identification or approximation of learning sets generated by several Boolean functions.","PeriodicalId":103344,"journal":{"name":"2020 13th International Conference \"Management of large-scale system development\" (MLSD)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123128407","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
Some Method of Complex Structures Information Security Risk Assessment in Conditions of Uncertainty 不确定条件下复杂结构信息安全风险评估方法
2020 13th International Conference "Management of large-scale system development" (MLSD) Pub Date : 2020-09-28 DOI: 10.1109/MLSD49919.2020.9247662
A. Kozlov, N. Noga
{"title":"Some Method of Complex Structures Information Security Risk Assessment in Conditions of Uncertainty","authors":"A. Kozlov, N. Noga","doi":"10.1109/MLSD49919.2020.9247662","DOIUrl":"https://doi.org/10.1109/MLSD49919.2020.9247662","url":null,"abstract":"The proposed method for information security risk assessment of complex structures based on fuzzy logic methods, allows us to take into account such hard-to-define parameters as threat levels, vulnerabilities, potential damage, information resources control level, cost level.","PeriodicalId":103344,"journal":{"name":"2020 13th International Conference \"Management of large-scale system development\" (MLSD)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123254010","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
The control and identification algorithm for the boost converter under unknown load 未知负载下升压变换器的控制与识别算法
2020 13th International Conference "Management of large-scale system development" (MLSD) Pub Date : 2020-09-28 DOI: 10.1109/MLSD49919.2020.9247783
S. Kochetkov, A. Utkin
{"title":"The control and identification algorithm for the boost converter under unknown load","authors":"S. Kochetkov, A. Utkin","doi":"10.1109/MLSD49919.2020.9247783","DOIUrl":"https://doi.org/10.1109/MLSD49919.2020.9247783","url":null,"abstract":"Boost voltage converters are widely used in industry and engineering as power supplies and voltage stabilizers. The basis of the converter is a key element, with the help of which the redistribution of input energy to output energy is carried out, depending on the required transmission coefficient. The output voltage of the inverter depends on the input voltage and external load. Taking into account the switching nature of the converter, a robust relay control law has been developed in the article, which makes it possible to stabilize the output voltage at unknown load, when it is impossible to measure it.","PeriodicalId":103344,"journal":{"name":"2020 13th International Conference \"Management of large-scale system development\" (MLSD)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126538386","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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