The paper presents an overview of the task of automatic text summarization. The formulation of the problem of automatic text summarization is carried out. The classification of algorithms for automatic text summarization by the type of the resulting summary and by the approach to solving the problem is carried out. Some existing problems in the field of automatic text summarization and disadvantages of certain classes of algorithms are described. The concepts of quality and information completeness of the summary are defined. The most popular approaches to the assessment of the information completeness of the summary and their classification in accordance with the methodology used are considered. The metrics of the ROUGE family are considered in relation to the task of automatic text summarization. Special attention is paid to the evaluation of the information completeness of the summary using such metrics of information proximity as the Kulback-Leibler divergence, the Jensen-Shannon divergence and the cosine distance (similarity). The metrics mentioned above can be applied to the text vector representations of the initial text and summary. The text vector representation in question can be performed using such methods like frequency vectorization, TF-IDF, static vectorizers and so on.

Keywords: automatic summarization, summary, information completeness, ROUGE, vectorization, TF-IDF, static vectorizer, Kullback-Leibler divergence, Jensen-Shannon divergence, cosine distance

The paper describes the development of a system for indoor microclimate parameters monitoring. The developed system includes a hardware part implemented on the basis of the Arduino UNO platform, and a software part consisting of a server and a client application. The DHT11 temperature and humidity sensor was connected to the Arduino UNO board. Ethernet Shield expansion card was used to transmit the collected values over the network. The server part of the developed system includes program code in the PHP programming language and a database. The client application is implemented in the Python programming language and Qt framework. The developed monitoring system has been tested. It was found that the accuracy of readings and delays in the operation of the system are within acceptable limits for the problem under consideration.

Keywords: microclimate, temperature, humidity, Arduino, Ethernet, Python, PHP, QT, Apache, MySQL, database

Internet of Things (IoT) technologies are widely used in many fields today, including the power engineering. This article describes the development of a hardware and software complex for collecting and storing thermometry data. Related works are considered. The complex includes the data collection and transmission module and the database on the server. Measurement indicators are collected and transmitted using the Arduino Uno platform. For temperature measuring, the thermocouple is used, the normalizing converter converts the signal from the thermocouple. The signal gets to the input of the ATmega328 microcontroller of Arduino Uno platform. Data transmission is carried out wirelessly by EPS-12 microcontroller using the MQTT application layer protocol and Wi-Fi channel protocol. The database was implemented using the MySQL database management system. The developed software and hardware complex is used for steam boiler condition monitoring at the thermal power plant of the Moscow Power Engineering Institute.

Keywords: measuring device, thermocouple, Arduino, Wi-Fi, MQTT, publisher, broker, subscriber, Internet of things, MySQL, database, thermal power plant