Збірники наукових праць ЦНТУ

Permanent URI for this communityhttps://dspace.kntu.kr.ua/handle/123456789/1

Browse

Author: search.filters.author.Волков, І. В.

Search Results

Now showing 1 - 2 of 2
  • Thumbnail Image
    Item
    Технології організації дистанційного навчання в Україні
    (ЦНТУ, 2021) Голик, О. П.; Каліч, В. М.; Жесан, Р. В.; Волков, І. В.; Holyk, O.; Kalich, V.; Zhesan, R.; Volkov, I.
    В статті виконано огляд та аналіз технологій для дистанційної форми навчання в Україні, їх переваги та недоліки. Запропоновано заходи для покращення ефективності організації дистанційної форми навчання. To prevent the spread of coronavirus infection, educational institutions from time to time switch to distance learning. The article reviews the ways of organizing distance learning in Ukraine, existing technologies for distance learning, electronic resources, and educational platforms. The most common web services for online learning are considered. The advantages and disadvantages of distance learning in the conditions of classical education are determined. As a result, it was found that the disadvantages outweigh the advantages, which significantly affects the quality of education as a whole. The main disadvantages: the low level of digital literacy, insufficient control over the acquisition of knowledge, and lack of social interaction between peers. Despite these shortcomings, the organization of distance learning by the Ministry of Education and Science of Ukraine and educational institutions is performed at a sufficient level. However, this process needs to be improved in terms of privacy, data protection and digital literacy. To address the lack of proper parental control, it is proposed at the state level to provide parents with the opportunity to be present directly during their children's distance learning, while being able to maintain their jobs and wages.
  • Thumbnail Image
    Item
    Структура моніторингу та ідентифікації нафтових забруднень
    (ЦНТУ, 2019) Голик, О. П.; Волков, І. В.; Ісмаіл Мухаммед; Голик, Е. П.; Волков, И. В; Исмаил Мухаммед; Holyk, O.; Volkov, I.; Mohammad Ismail
    В статті запропоновано схему структури загального аналізу нафтових забруднень у режимі реального часу. В даному випадку пропонується для очистки вод від нафтових забруднень використовувати біологічні способи очистки. В статье предложена схема структуры общего анализа нефтяных загрязнений в режиме реального времени. В данном случае предложено для очистки воды от нефтяных загрязнений использовать биологические методы очистки. In different countries, scientists pay attention the method of monitoring, identification and water purification from oil pollutions. The problem of oil pollution is not only relevant for oil producing countries. Oil spills can occur anywhere in the world. The authors of this article propose to develop the robot with artificial intelligence that would monitor, identify and purify water resources from oil pollution in the mode of real time. Previous studies have shown that it is advisable to use biological methods to water purification from oil pollution. To date, scientists have already developed preparations containing a consortium of microorganisms to purify water resources from oil and petroleum products. Microorganisms are able to adapt to large doses of oil. As a result of the biological treatment of petroleum contamination, such microorganisms in the environment remain bacterial protein (which does not require further disposal) and non-toxic oil decay products. The products of the activity of bacteria and the bacteria themselves are easily absorbed by the native microflora, giving the basis for the formation of humus or forming bottom silt. The purpose of this work is to investigate installations for the biological treatment of water resources from oil and petroleum products. In order to achieve this goal, the structure of the scheme of general analysis of oil pollution is proposed in the article. This scheme contains blocks of comparison, determination of the type and amount of contamination. The results are processed using statistical and mathematical analysis methods. The following algorithm is proposed. The robot has a special container for collecting water samples. This container has special sensors that determine the condition of the sample and transmit information to the comparison unit. The comparison unit, based on the knowledge base, determines the conformity of the water sample to the standards. If the amount of pollutants is exceeded, the information goes to the units for determining the amount and type of pollutants. In the results processing unit, decisions are made regarding the method of purification and the amount of purification preparation. In the future, this scheme will be modified and synthesized. More attention should be paid to developing a database and knowledge that is part of an intelligent decision support system. The application of this scheme to the analysis of oil pollution is possible not only for the determination of oil pollution in water resources.