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Regular version of the site
Of all publications in the section: 25
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Article
Горбунов А. А., Исаев Е. А., Моргунов А. Ф. Приборы и системы. Управление, контроль, диагностика. 2017. № 5. С. 12-18.

Automation of educational process elements in higher educational establishments is an up-to-date issue of latter days. The market allows software for solving some of emerging tasks of automation, however, it is specialized for high-level business process features (academic plan, schedule, teaching loads, educational performance). In addition, functionality for lecturer’s activity automation, especially for a few lecturers involving in one subject, was not developed. In particular, the automation is required for academic disciplines consisting of a few subjects which are being taught by different lecturers. The discipline “Corporate information systems” for bachelors studying at the National Research University Higher School of Economics is an example of the discipline with three sub-subjects. The article considers the issues of storing and data collection for calculating the current student’s progress. The realization is demonstrated by automating lecturer’s activity software solution which was designed and developed via 1C: Enterprise 8.3, 1C: Standard subsystems 2.3 – the most popular development tools in Russia. The software features are described and are shown in user interfaces illustrations.The article will be interested for users and developers of 1C solutions as well as for lecturers of higher educational establishments.

Added: May 26, 2017
Article
Ермишкин В. А., Мурат Д. П., Подбельский В. В. Приборы и системы. Управление, контроль, диагностика. 2008. № 10. С. 38-44.

The article describes the methodology of fatigue curves construction according to the data from small series of plate specimens testing in cantilevered bending conditions. The fatigue curve is obtained from comparative analysis of local damage at the specimen surface and corresponding values of actual stresses. The essence of applied approach is joint analysis of specimen surface fragment images and relevant to them white light reflection spectrums.

Added: Sep 24, 2012
Article
Зыков С. В. Приборы и системы. Управление, контроль, диагностика. 2008. № 4. С. 25-30.
Added: Mar 9, 2009
Article
Амзараков М. Б., Сухов Р. Р., Исаев Е. А. и др. Приборы и системы. Управление, контроль, диагностика. 2019. № 12. С. 50-55.

The data center effi ciency is accepted to evaluate as the ratio of all power consumed by the data center to the amount of power transferred for the operation of IT equipment (PUE). Thus, it becomes possible to calculate the amount of power expended on useful work and the amount of power expended on ancillary needs supplying power to IT-equipment. From the point of view of the data center, all the power transferred for IT-equipment is «useful». But is it? This article discusses the distribution and expenses of electricity «inside» IT-equipment, and also questions of an estimation of power effi ciency of work of the IT equipment in total with power usage effectiveness of a data center are raised. Keywords: data center, Power Usage Effectiveness (PUE), power consumption.  

Added: Nov 16, 2019
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