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A software platformfor constructingmodel-driven systemsfor primary dataconsolidation :доклад, тезисыдоклада Korobko Aleksei AKorobko Anna V2020 год

A software platform for constructing model-driven systems for primary data consolidation : доклад, тезисы доклада
доклад, тезисы доклада, статья из сборника материалов конференций

Дополнительные ссылки: eLibrary · Источник статьи
База данных: Каталог библиотеки СФУ
Библиографическое описание: A software platform for constructing model-driven systems for primary data consolidation : доклад, тезисы доклада / A. A. Korobko, A. V. Korobko. - [S. l. : s. n.], 2020. - Текст : непосредственный // Journal of Physics: Conference Series / II International Scientific Conference on Applied Physics, Information Technologies and Engineering (2020 ; 25.09 - 04.10 ; Krasnoyarsk, Russian Federation). - Krasnoyarsk, Russian Federation : Institute of Physics and IOP Publishing Limited, 2020. - 1679. - P. 32056. - DOI 10.1088/1742-6596/1679/3/032056.
Аннотация: The effectiveness and validity of decisions in all subject areas depend on the completeness and reliability of the information base. Despite the development of information technology, some part of data is collected manually. This is important for the tasks of updating normative references, recording results of observations and laboratory studies, and statistical reporting. The paper describes the authors' approach to building typical model-driven data collection systems. The approach includes the original conceptual model, the order of building systems by forming a control model and a set of algorithms for the construction of the system. Theoretical results form the basis of a software platform for building typical model-driven systems for collecting and consolidating primary data. The paper describes the procedure of constructing a data collection system on the basis of the platform using the example of the Soil Condition Research System. The software platform provides the systematization of consolidated data and their consistent storage. In addition, the control model of the system is a formal description of its subject area and may be useful for exploring the data collected.
Год издания: 2020
Авторы: Korobko Aleksei A , Korobko Anna V
Издательство: Institute of Physics and IOP Publishing Limited, Krasnoyarsk, Russian Federation
Источник: Journal of Physics: Conference Series
Выпуск: 1679
Мероприятие: II International Scientific Conference on Applied Physics, Information Technologies and Engineering (Krasnoyarsk, Russian Federation, 2020 ; 25.09 - 04.10)
Номера страниц: 32056
Держатель оригинала документа: Institute of computational modelling SB RAS
Количество экземпляров:
Твёрдая копия издания отсутствует в фонде библиотеки

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