In the process of the "smart" house systems work, there is a need to process fuzzy input data. The models based on the artificial neural networks are used to process fuzzy input data from the ...sensors. However, each artificial neural network has a certain advantage and, with a different accuracy, allows one to process different types of data and generate control signals. To solve this problem, a method of choosing the optimal type of artificial neural network has been proposed. It is based on solving an optimization problem, where the optimization criterion is an error of a certain type of artificial neural network determined to control the corresponding subsystem of a "smart" house. In the process of learning different types of artificial neural networks, the same historical input data are used. The research presents the dependencies between the types of neural networks, the number of inner layers of the artificial neural network, the number of neurons on each inner layer, the error of the settings parameters calculation of the relative expected results.
An appearance of radiometers and dosimeters on free sale made it possible to provide better radiation safety for citizens. The effects of radiation may not appear all at once. They can manifest ...themselves in decades to come in future generations, in the form of cancer, genetic mutations, etc. For this reason, we have developed in this paper a microcontroller-based radiation monitoring system. The system determines an accumulated radiation dose for a certain period, as well as gives alarm signals when the rate of the equivalent dose exceeds. The high reliability of this system is ensured by a rapid response to emergency situations: excess of the allowable power of the equivalent radiation dose and the accumulator charge control. Further, we have composed a microcontroller electronic circuit for the monitoring radiation system. Additionally, an operation algorithm, as well as software for the ATmega328P microcontroller of the Arduino Uno board, have been developed.
Article presents the model and principles of the «smart» home system development using the modular structure and architectural pattern of the data stream Redux. Combination of these principles allow ...to develop «smart» house system rapidly, taking into account the variety of usage specifics and their scaling, thanks to the combination of pre-designed software and hardware modules.
The article examines the efficiency of spherical video usage for road traffic rule learning and driving skill acquisition in comparison to conventional driving instruction methods. Additionally, it ...outlines the creation of a virtual educational simulator designed for road traffic rule comprehension and enhancement of driving abilities. The outcomes of this investigation hold significance for road safety and the design of driver education programs. A novel teaching model employing spherical video streaming for road traffic rule understanding has been devised. The research was provided in the scope of Erasmus+ Jean Monnet «Augmented Reality for Education: implementation of European experience» project.
The article presents the optimization ways of neural network structure used for automatic devices control in smart houses systems. Presented implementation of the complex system includes a database ...for sensors data storage, database management system and a module for automatic decision making. Described system usage examples show resolving of actual tasks in common cases of smart homes work.
Conducting scientific research on the platform of electronic science requires the establishment of effective communication between members of virtual teams. It requires the implementation of creative ...projects aimed at informational and technological support of research work. The authors developed a project aimed at creating a complex system of informational and technological support for scientific research on the platform of electronic science using cloud computing technologies. The information system solves a number of key issues for the establishment of effective scientific communication in conducting research on the e-science platform, in particular, it improves the efficiency of the communication processes of participants in the virtual creative team for conducting multidisciplinary research; contributes to solving the financial aspects of scientific communication and the exchange of scientific data, information and knowledge for the convenient interaction of researchers, and also contributes to the efficient search, consolidation, storage and dissemination of research results among the scientific community.
Modem security systems consist of typical parts that may eventually be fooled by professional burglars. Therefore, in recent years people need to improve mechanisms of home protection to make homes ...more safety. Artificial intelligence algorithms help us to develop new techniques for recognition of burglars inside the house.
In the article proposed to use SaaS (Software as a service) software licensing and delivery model with description of this model advantages in scope of intelligent houses sphere and potential usage ...problems of this model.
Advances in plasmonics have been fundamentally rooted in minimizing ohmic losses in metallic nanostructures. However, the losses at resonance can play a positive role; for instance, in optical ...heating, there are two sides to every story. Under laser illumination, plasmonic nanostructures serve not only as near-field enhancers but heat generators. The emerging field of thermoplasmonics opens up unprecedented possibilities to probe temperature-dependent phase transitions locally. In this paper, we develop a new approach behind plasmon-assisted optical heating for spectroscopically recognizing the glass transition temperature (T g) of spatially confined poly(methyl methacrylate) (PMMA) polymers deposited on a square-shaped titanium nitride (TiN) pad. A local photoheating is controlled through Raman thermometry of a c-Si (100) substrate that functions as a temperature-sensing Raman reporter. The reliability of temperature measurements is corroborated by using both the anti-Stokes/Stokes ratio and the Raman peak shift. We show that optical heating can be adjusted by extruding a c-Si substrate, for example, the temperature increase is achieved by making c-Si pillars beneath the TiN pads longer. This peculiarity gives the possibility to probe the T g in a broad temperature range for the diversity of glassy polymers. We believe that the developed method will pave the way for 2D mapping structural glass transitions of heterogeneous glassy polymers, polymeric blends, and eventually, 3D confined polymers.
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