The Internet of Things (IoT) is a system of interconnected computer networks with various sensors for monitoring equipment, collecting and exchanging data with the possibility of remote control of devices without human intervention. The principle is as follows: sensors and necessary interfaces are initially installed on the key parts of the equipment, after which collected information allows the company to acquire objective and accurate data on the state of the enterprise. Processed data is delivered to all departments of the enterprise, which helps to establish interaction between employees of different departments and make informed decisions.
"IoT technologies have a huge potential, which can become one of the key advantages for business in the near future. More and more industrial manufacturers from foreign countries use the "machine-machine" communication capabilities to increase the efficiency of their products. In Russia, IoT is a trend that is only gaining momentum, but it is already clear that this is the technology of the future. Knowledge and skills to work with these technologies will allow us to reach a higher professional level and be in demand as a specialist in the future," said Alexander Zhdankov.
The lecture program was based on the latest information on existing technologies - mmWave, RFID, LPWAN. These technologies help detect and track objects in a certain environment and transmit data about their condition.
mmWave or millimeter wave is a technology for a very high speed of wireless data transmission.
Radio-frequency identification (RFID) uses electromagnetic fields to automatically identify and track tags attached to objects. The tags contain electronically-stored information. Passive tags collect energy from a nearby RFID reader's interrogating radio waves. Active tags have a local power source (such as a battery) and may operate hundreds of meters from the RFID reader. Unlike a barcode, the tag need not be within the line of sight of the reader, so it may be embedded in the tracked object. RFID is one method for Automatic Identification and Data Capture (AIDC).
RFID tags are used in many industries, for example, an RFID tag attached to an automobile during production can be used to track its progress through the assembly line; RFID-tagged pharmaceuticals can be tracked through warehouses; and implanting RFID microchips in livestock and pets allows for positive identification of animals.
LPWAN (low power wide area networks) is a type of wireless telecommunication wide area network designed to allow long-range communications at a low bit rate among things (connected objects), such as sensors operated on a battery. The low power, low bit rate and intended use distinguish this type of network from a wireless WAN that is designed to connect users or businesses, and carry more data, using more power. A LPWAN may be used to create a private wireless sensor network, but may also be a service or infrastructure offered by a third party, allowing the owners of sensors to deploy them in the field without investing in gateway technology.
The final exam was passed brilliantly. Mikhail Safir said that they had received very valuable and up-to-date information, and also established contacts with Italian and French colleagues making the summer school complete success.
We were not expecting the results we got this day, 40 students who love Russian language took the first step to learn Russian and they did great on their first day of classes! Tomorrow two more groups will start learning Russian without leaving their home countries, using the digital technologies of our Faculty!
“In mathematics, there are several ways to achieve a result — I always wonder how a student will solve a problem. And problems in computer science give more freedom of solutions, therefore computer science develops creative thinking ”, says Stanislav Strashnov, author of the modules "Mathematics“ and ”Informatics" of the Digital Preparatory Faculty of RUDN University.
The academic year at RUDN University traditionally begins on September 1. This is the first odd week of training. Classes will be held in two formats: face-to-face — in university classrooms and remotely.