Scientific Works of Vinnytsia National Technical University最新文献

{"title":"EVENTS PLANING, USING THE TARGET FORM OF THE TIME-MANAGEMENT ORGANIZATION (Eng)","authors":"Т. М. Zakusilo, V. І. Mesura","doi":"10.31649/2307-5392-2020-4-18-24","DOIUrl":"https://doi.org/10.31649/2307-5392-2020-4-18-24","url":null,"abstract":"","PeriodicalId":404659,"journal":{"name":"Scientific Works of Vinnytsia National Technical University","volume":"93 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":"126191562","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":"REGRESSION ANALYSIS OF PETROLEUM PRODUCTS CONCENTRATION IN THE SOILS OF SOLID MUNICIPAL WASTE LANDFILLS (Ukr)","authors":"О. Bereziuk","doi":"10.31649/2307-5376-2022-3-29-34","DOIUrl":"https://doi.org/10.31649/2307-5376-2022-3-29-34","url":null,"abstract":"","PeriodicalId":404659,"journal":{"name":"Scientific Works of Vinnytsia National Technical University","volume":"13 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":"126193231","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":"DYNAMICS OF THE EXTRACTION OCCURRENCE OF THE SORTED OUT RESOURCE-VALUED COMPONENTS OF SOLID MUNICIPAL WASTE (SMW) IN VINNYTSIA REGION (Eng)","authors":"О. Bereziuk, М. S. Lemeshev","doi":"10.31649/2307-5392-2022-2-9-14","DOIUrl":"https://doi.org/10.31649/2307-5392-2022-2-9-14","url":null,"abstract":"","PeriodicalId":404659,"journal":{"name":"Scientific Works of Vinnytsia National Technical University","volume":"35 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":"124887730","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":"SUBSTANTIATION OF THE POSSIBILITY OF THE FLUID DISCHARGE IN THE SEWAGE SYSTEM, OBTAINED BY MEANS OF THE SOLID HOUSEHOLD WASTE DEHYDRATION IN THE PROCESS OF THE LOADING INTO THE DUST-CART (Eng)","authors":"О. Bereziuk","doi":"10.31649/2307-5392-2020-2-31-37","DOIUrl":"https://doi.org/10.31649/2307-5392-2020-2-31-37","url":null,"abstract":"","PeriodicalId":404659,"journal":{"name":"Scientific Works of Vinnytsia National Technical University","volume":"20 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":"125245464","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":"GLOBAL BRANDS IN SCIENTIFIC RESEARCH: TRENDS OF THE LAST DECADE (Ukr)","authors":"О. V. Shtovba, S. Shtovba","doi":"10.31649/2307-5376-2019-4-26-34","DOIUrl":"https://doi.org/10.31649/2307-5376-2019-4-26-34","url":null,"abstract":"The dynamics of the research support by the global brands and the dynamics of the global brands usage in the research are analyzed over the last decode. The analysis was carried out according to the scientometic approach with the Scopus base data. The support was assessed by the number of publications in which the global brand is mentioned in the section on the research funding. The usage was assessed by the number publications in which the global brand is mentioned in the presentation part of the article, i. e., in the title, key words or in the abstract. The research was carried out for the global brands from the list of top-100 the most expensive brands according to the data of Interbrand company. Twenty-two brands with the unique names were selected: Google, Microsoft, Coca-Cola, Samsung, Toyota, Facebook, IBM, Cisco, Louis Vuitton, Pepsi, Budweiser, Ebay, Hyundai, Accenture, Volkswagen, Adidas, Morgan Stanley, Huawei, Harley-Davidson, Netflix, Johnnie Walker and Lenovo. The selected brands represent ten sectors of the economy. Greater part of brands – 16 out of 22 belong to the cluster with the equivalent levels of support and usage. The most generous and popular are the brands Google, Microsoft, IBM, Samsung, Volkswagen, Toyota and Facebook. All of them are connected with the information systems and services or with automobile construction. All the brands with high and average levels of support are characterized by the considerable growth of the number of the supported articles over the past two years. Among the analyzed brands the scientists use Google in most cases. During 2017 the number of the articles, where Google is mentioned in the presentation part, exceeded 5500. Facebook, Microsoft and IBM are also among the leaders. All the four brands from the high group as well as Samsung and Netflix from the average group demonstrate stable growth of their usage in the scientific research during the past several years.","PeriodicalId":404659,"journal":{"name":"Scientific Works of Vinnytsia National Technical University","volume":"58 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":"123299747","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":"REGRESSION ANALYSIS OF PETROLEUM PRODUCTS CONCENTRATION IN THE SOILS OF MUNICIPAL SOLID WASTE LANDFILLS (Eng)","authors":"О. Bereziuk","doi":"10.31649/2307-5392-2022-3-30-35","DOIUrl":"https://doi.org/10.31649/2307-5392-2022-3-30-35","url":null,"abstract":"In recent years the total area of the municipal solid waste landfills and waste dumps, including overloaded, which violate the norms of ecological safety and are the objects of the intensive ecological loading, that pollute the environment with chemical substances, causing chemical pollution of the soils, in particular, with the petroleum products, has greatly increased. Determination of the regression dependence of the petroleum products concentration in the soils on the distance to the landfills of municipal solid waste is the relevant scientific-technical problem. Objective of the study is determination of the regression dependence of the petroleum products concentration in the soils on the distance to the municipal solid waste landfills. Regression was performed on the base of the linearized transformations, which enable to reduce the nonlinear dependence to linear one. Determination of the regression equations coefficients was performed by the method of the least squares with the help of the elaborated computer program \"RegAnaliz\", protected by the Certificate of the State registration of the rights to the copyright object. Adequate regression power dependence of the petroleum product concentration in the soils on the distance to the landfills of municipal solid waste was obtained, the dependence was used for the determination of the safe distance for the solid municipal landfills location from the agricultural lands by the index of the level of chemical pollution of the soil with petroleum products. Graphic interpretation of the dependence of the petroleum products concentration in the soil on the distance to the landfill of municipal solid waste is constructed, this interpretation enables to illustrate this dependence and show the coincidence of the theoretical results with the actual results on the level of 0.9999996. It was established that the safe distance for the location of the landfills of municipal solid waste from the agricultural lands by the index of the level of chemical pollution of the soil with petroleum products is 66 m.","PeriodicalId":404659,"journal":{"name":"Scientific Works of Vinnytsia National Technical University","volume":"9 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":"132436405","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":"DYNAMICS OF SOLID MUNICIPAL WASTE COMPOSTING SPEADING IN UKRAINE (Ukr)","authors":"О. Bereziuk, V. O. Kraevskyi, L. L. Bereziuk","doi":"10.31649/2307-5376-2021-3-1-6","DOIUrl":"https://doi.org/10.31649/2307-5376-2021-3-1-6","url":null,"abstract":"","PeriodicalId":404659,"journal":{"name":"Scientific Works of Vinnytsia National Technical University","volume":"3 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":"132439202","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":"IMPACT OF POPULATION INCOMES ON THE VOLUME OF MUNICIPAL SOLID WASTE FORMATION IN UKRAINE (Eng)","authors":"О. Bereziuk, М. S. Lemeshev","doi":"10.31649/2307-5392-2022-3-36-41","DOIUrl":"https://doi.org/10.31649/2307-5392-2022-3-36-41","url":null,"abstract":"Annual volume of municipal solid waste formation on the territory of Ukraine, according to statistical data, exceeds 54 mil. m 3 , creating serious threat for the ecological safety. That is why, determination of the regression dependence, describing the impact of the population incomes on the volumes of municipal solid waste formation in Ukraine is an important scientific-technical task. Aim of the research is determination of the regression dependence, which describes the impact of the population incomes on the volume of municipal solid waste formation in Ukraine and can be used for the prediction of such volumes. In the course of the research method of regression analysis of the results of single factor experiments and other paired dependences was used with the selection of the rational type of function from sixteen most widely spread variants by the criterion of maximum values of the correlation factor. Regression was performed on the base of linearized transformations, which allow to reduce the non-linear dependence to linear one. Determination of the coefficients of the regression equations was carried out, applying the method of the least squares by means of the developed computer program \"RegAnaliz\", protected by the Certificate of the State registration of the right to the copyright object. Adequate regression dependence, describing the impact of the population incomes on the volumes of the municipal solid waste formation in Ukraine was obtained, it can be used for the prediction of these volumes. Graphical dependence, describing the impact of the population incomes on the volumes of municipal solid waste, being formed in Ukraine was constructed, it enables to illustrate this dependence and shows the sufficient coincidence of the theoretical results with the actual data. It has been established that the volumes of municipal solid waste formation in Ukraine grow with the increase of the incomes of the population in accordance with the hyperbolic dependence.","PeriodicalId":404659,"journal":{"name":"Scientific Works of Vinnytsia National Technical University","volume":"63 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":"130640427","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":"INTELLIGENT METHOD WITH THE REINFORCEMENT OF THE SYNTHESIS OF OPTIMAL PIPELINE OF THE DATA PRE-PROCESSING OPERATIONS IN THE MACHINE LEARNING PROBLEMS (Eng)","authors":"M. V. Dratovanyi, V. B. Mokin","doi":"10.31649/2307-5392-2022-4-15-24","DOIUrl":"https://doi.org/10.31649/2307-5392-2022-4-15-24","url":null,"abstract":"The paper is devoted to the synthesis and optimization of the pipelines of the data pre-processing operations in the problems of the machine learning models construction. It is noted that it is important to optimize the triad of these pipelines - select optimal sequence of the optimal operations with the optimal parameters. In this case, the change of even one element immediately influences the choice of all other elements and their parameters. In general case, there exists a great number of the admissible variants of such pipelines for each model of machine learning and input data (random values or time series) and, as a rule, there is no marked datasets of model training for the synthesis of such pipelines. The survey of the known approaches to the solution of such problems has been carried out, the conclusion that the best way is to formalize them as the problems of reinforcement machine learning has been substantiated t. Typical approaches to the formalization and intellectual methods of similar problems solution have been presented. It is noted that the solution of the problems with reinforcement, as a rule, is complicated due to large dimensionality of the possible sets of the types and subtypes of the operations with different parameters and has problems with the coincidence to really optimal value during limited time. That is why, several improvements, enabling to solve this problem at certain conditions, are suggested. First, it is suggested to allocate variable and constant sections of the pipeline of the data pre-processing operations. It is also suggested for different types of the machine learning models what operations should be referred to the first and last unchangeable links and what operations – to variable link and only to this link it is suggested to apply reinforcement learning. Secondly, the algorithm of the initial setting of RL-policy parameters depending on certain statistical and other characteristics of the input data is suggested. The proposed improvement of the method with the reinforcement of the synthesis of the optimal pipeline of the operations can be applied not only for pre-processing operations but for other problems with the","PeriodicalId":404659,"journal":{"name":"Scientific Works of Vinnytsia National Technical University","volume":"2 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":"134540410","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":"PROCESSING AND USAGE OF THE MULTISPECTRAL IMAGES IN AGROMONITORING (Ukr)","authors":"Y. Y. Bilinskyi, B. Knysh, Y. Kulyk","doi":"10.31649/2307-5376-2020-4-7-17","DOIUrl":"https://doi.org/10.31649/2307-5376-2020-4-7-17","url":null,"abstract":"","PeriodicalId":404659,"journal":{"name":"Scientific Works of Vinnytsia National Technical University","volume":"5 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":"131009447","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}