This study investigates the vibrations of centrifugal loop dryer machines used in plastic recycling processes. These machines are characterized by large uncertainties, high vibration, and unmodeled dynamics, making the design and maintenance of real-time state estimators for their operational conditions difficult. The present study includes an analysis of the centrifugal loop dryer machines’ vibration characteristics and their influence on operation results based on vibration analysis, frequency response analysis, and expert advice. Two identical loop dryers installed and operated in parallel in a single recycling line were investigated. Measurements were performed using a two-sample measurement design and based on a one-sample statistical method for estimating uncertainty in repeated measurements of data processing. Additionally, a problem connected with incorrect machine operation during high vibration, resulting in insufficient drying of loaded material, was investigated. This was defined as a situation in which some melted plastic is still too wet after mechanical drying, caused by the incorrect installation of damper elements of the holding elements. Finaly, it is recommended that a correction of the machine installation and a control measurement are carried out to determine whether the vibration in the base of the machine still exists. A simplified theoretical vibration analysis of the rotating machine was also carried out in the present paper.

This study is devoted to solving the problem of determining the career guidance of future university student using artificial intelligence systems. It is proposed Fully Connected Feed-Forward Neural Network (FNN) architecture and performed empirical modeling to create a Data Set. Model of artificial intelligence system allows evaluating the processes in an FNN during the execution of multi-label classification of professional areas. A method has been developed for the training process of a machine learning model, which reflects the internal connections between the components of an artificial intelligence system that allow it to “learn” from training data. To train the neural network, a data set of 29 input parameters and 23 output parameters was used; the amount of data in the set is 936 data lines. The software product was developed by Python and uses Keras, Numpy and Pandas libraries. Results of this research can be used to further improve the knowledge and skills necessary for successful professional realization.

Are examined and defined pattern vibratory motion to form horizontal surfaces on the basis of the account of wave phenomena and bias voltages. Given numerical values screeds and rheological characteristics of sealing concrete.Based on the analysis of the energy balance, motion qualities limits are defined. Analytical dependences for the estimation of main parameters of the effective vibroimpact mode are suggested as well as the motion stability layout of the analyzed system is cited.

Інтернет речей (IoT) - це мережа фізичних об'єктів, які підключені до Інтернету та обмінюються даними без необхідності людської інтеграції. Завдяки швидкому розвитку технологій, IoT стає все більш поширеним і затребуваним у різних галузях, але зростає й кількість кібератак на пристрої IoT, що зумовлює важливість кібербезпеки цих технологій.

The modern world is impossible to imagine without information technology. Such technologies are based on the use of computer equipment and means of communication. Both in the real world and in the virtual world, there are crimes called "cybercrimes". Thus, energy facilities, transport systems, financial and banking structures, military and law enforcement agencies, trade, medical and scientific institutions are potential victims of cybercrime, including cyberterrorism. Surveillance cameras, motion sensors, biochips, smart appliances - all these things simplify our daily lives and make our modern life more comfortable. As the number of devices connected to the network grows, so does the number of cyber threats. For example, the smart refrigerator became part of the botnet and began to spread spam, and the smart coffee machine was the cause of the attack on industrial networks with the subsequent infection of computers. The Internet of Things, which in turn is simple and difficult to implement, also has some problems with information security. Sometimes developers, intentionally or unintentionally, leave an undocumented channel, which not only collects information about the use of the device, but also allows you to penetrate into the personal space of the end user. In case of personal data leakage, the purpose of fraudsters is usually personal data: names, postal addresses, e-mail addresses, credit card details or account information. This allows you to order goods online under someone else's name and pay for them using someone else's debit card or debiting a certain account. For the same purpose, phishing can be used, which involves the use of fictitious websites, e-mails or text messages to access personal data.