{"title":"Selection of сategorical parameters in modeling systems","authors":"L. V. Tsybriy, Yu. V. Valenko","doi":"10.30838/p.cmm.2415.270818.145.245","DOIUrl":"https://doi.org/10.30838/p.cmm.2415.270818.145.245","url":null,"abstract":"Annotation. The goal is to develop a methodology for working with factors that have several categorical levels to select one of the levels as a parameter of the simulated system. The technique . To select a parameter, statistical data are used, obtained either as a result of observations or as a result of a reusable simulation model run and, therefore, methods of mathematical statistics are used to achieve the goal. A multiple regression model is considered for categorical factors, the levels of which are presented as dummy variables. Results. The application of the proposed method allows not only to assess the effect of the factors and carry out a pair-wise comparative analysis of their levels, but also to determine one level of each categorical factor that is the best under these conditions. Scientific novelty . The proposed method makes it possible to reduce the problem of choosing a category parameter of the system being modeled to a regression analysis problem with subsequent testing for optimality of the regression function. The final choice of the parameter as one of the category levels in the case of two factors is found as a solution to the problem of nonlinear programming. Practical significance . The choice of parameters in the preparation of the system model is one of the main stages. There is no particular problem when it comes to parameters that take numerical values: for this purpose, the methods of mathematical statistics for testing hypotheses of expectation and two-sample criteria are used. In the case when the factor has several categorical (non-numeric) levels, dispersive analysis is used to analyze their influence, which makes it impossible to solve the problem with parameter selection. The proposed method allows you to make such a choice.","PeriodicalId":401403,"journal":{"name":"Construction, materials science, mechanical engineering","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121976478","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":"Problems of application and automation of methods of evaluation of risks of projects of objects reconstruction","authors":"A. Ishchenko, T. Lukianova, A. V. Verba","doi":"10.30838/P.CMM.2415.270818.58.230","DOIUrl":"https://doi.org/10.30838/P.CMM.2415.270818.58.230","url":null,"abstract":"","PeriodicalId":401403,"journal":{"name":"Construction, materials science, mechanical engineering","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132203784","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":"Modeling the impact of impulse loads on protections of sports fields","authors":"D. Fesenko","doi":"10.30838/P.CMM.2415.270818.135.243","DOIUrl":"https://doi.org/10.30838/P.CMM.2415.270818.135.243","url":null,"abstract":"","PeriodicalId":401403,"journal":{"name":"Construction, materials science, mechanical engineering","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114268400","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":"Hypermedia training system «architecture of civil and public buildings»","authors":"N. Ershova, E. E. Litvin","doi":"10.30838/P.CMM.2415.270818.45.228","DOIUrl":"https://doi.org/10.30838/P.CMM.2415.270818.45.228","url":null,"abstract":"","PeriodicalId":401403,"journal":{"name":"Construction, materials science, mechanical engineering","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126647390","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":"Artificial Neural Networks For Building Projects Cost Estimating","authors":"A. Zhuravel, N. Velmagina","doi":"10.30838/P.CMM.2415.270818.52.229","DOIUrl":"https://doi.org/10.30838/P.CMM.2415.270818.52.229","url":null,"abstract":"Purpose. To form an idea about the use of neural networks for estimating the cost of construction projects. Artificial neural networks are successfully used in solving numerous complex non-linear problems associated with forecasting, evaluation, decision-making, optimization, systematization, and choice in the fields of construction and its management. Artificial neural networks are particularly effective for solving complex problems, such as cost estimation problems, when the relationship between variables cannot be expressed by simple mathematical relationships. The technique. The parametric estimation method is a method in which the statistical evaluation between historical data and other variables is used for valuation. Using this method, you can get a more accurate estimate of the cost, due to the fact that this approach requires a lower level of detail compared to other methodologies. The level of accuracy of the assessment depends on the complexity, the amount of resources allocated for such work and the cost data embedded in the model. Results. Cost estimation is one of the most important factors in the management of construction projects. Any feasibility study for a project requires an accurate cost estimate in order to make the right decision about the future fate of the project. Scientific novelty. Improving cost estimation methods contributes to more efficient control of time and expenses in construction. Practical value. The use of artificial neural networks can potentially eliminate some of the main disadvantages of traditional evaluation methods. This gives great prospects for improving the reliability and validity of the method of parametric valuation.","PeriodicalId":401403,"journal":{"name":"Construction, materials science, mechanical engineering","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130364751","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":"Method of determining the duration of the project given uncertainty","authors":"A. A. Yarmolaev, A. Korkhin","doi":"10.30838/p.cmm.2415.270818.159.247","DOIUrl":"https://doi.org/10.30838/p.cmm.2415.270818.159.247","url":null,"abstract":"","PeriodicalId":401403,"journal":{"name":"Construction, materials science, mechanical engineering","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131977143","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":"Solution of matrix differential Riccati equations in the medium of modeling system of MVTU 3.7","authors":"N. Ershova","doi":"10.30838/P.CMM.2415.270818.38.227","DOIUrl":"https://doi.org/10.30838/P.CMM.2415.270818.38.227","url":null,"abstract":"","PeriodicalId":401403,"journal":{"name":"Construction, materials science, mechanical engineering","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129124478","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":"Finite element modeling of disc brake elements interaction","authors":"V. Sukhanova","doi":"10.30838/P.CMM.2415.270818.129.242","DOIUrl":"https://doi.org/10.30838/P.CMM.2415.270818.129.242","url":null,"abstract":"","PeriodicalId":401403,"journal":{"name":"Construction, materials science, mechanical engineering","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132123871","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":"Methodology of the process design of gross product output of an enterprise","authors":"O. Shibko, N. Ershova, N. Velmagina","doi":"10.30838/P.CMM.2415.270818.151.246","DOIUrl":"https://doi.org/10.30838/P.CMM.2415.270818.151.246","url":null,"abstract":"1* Department of Applied Mathematics and Information Technologies. Pridniprovsk State Academy of Cyvil Engineering and Architecture. 24-a Chernishevskogo st. 49600, Dnipropetrovsk, Ukraine, tel. +38 (0567) 56-34-10, email: prmat@mail.pgasa.dp.ua ORCID ID: 0000-0001-5894-0642 2* Department of Applied Mathematics and Information Technologies. Pridniprovsk State Academy of Cyvil Engineering and Architecture. 24-a Chernishevskogo st. 49600, Dnipropetrovsk, Ukraine, tel. +38 (0567) 56-34-10, email: nersova107@gmail.com, ORCID ID: 0000-0003-0198-0883 3* Department of Applied Mathematics and Information Technologies. Pridniprovsk State Academy of Cyvil Engineering and Architecture. 24-a Chernishevskogo st. 49600, Dnipropetrovsk, Ukraine, tel. +38 (0567) 56-34-10, email: velmagina24@gmail.com ORCID ID: 0000-0002-5584-3748 Annotation. The methods for designing the process of gross product output of an enterprise, based on the stochastic method of dynamic programming for continuous deterministic systems was created. The selection of weight factors of quadratic quality functional was substantiated, the dependence between parameters of design and weight factors was established, and the region of optimum values of design parameters was determined, the optimal filter of the process of gross product output of an enterprise was obtained. Modeling of the process of gross product output with optimum values of coefficients of growth and retirement of basic production assets. Production capacity is determined by the output at the achieved level of organization and production technology. The shape of production capacity graphs changes noticeably even with minor changes in parameters, i.e., capacity is sensitive to changes in the state of a firm. Design parameters are determined by the matrix method of dynamic programming. Based on the concepts of observability and controllability, it has been established that the process of producing a gross product of an enterprise is subject to management. By modeling and calculations, it was proved that using the matrix method of dynamic programming, one can obtain analytical dependencies for growth and retirement coefficients, as well as calculate the regions of their optimal values, i.e. The production capacity of an enterprise can be the main indicator of the characteristics of the life cycle of an enterprise. The technique should be used when designing the process of producing a gross product of enterprises, its implementation will reduce the design time and ensure the stability of the process of producing a gross product.","PeriodicalId":401403,"journal":{"name":"Construction, materials science, mechanical engineering","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123484753","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":"Improvement of the estimations of solutions in the semidefinite programmin","authors":"A. Kosolap","doi":"10.30838/P.CMM.2415.270818.68.232","DOIUrl":"https://doi.org/10.30838/P.CMM.2415.270818.68.232","url":null,"abstract":"","PeriodicalId":401403,"journal":{"name":"Construction, materials science, mechanical engineering","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124261229","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}