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  • The use of neural network detectors to prevent accidents at work

    This article discusses the features of the use of neural network detectors in the tasks of recognizing protective helmets and helmets. Nowadays, workplace safety is becoming an increasingly relevant topic, especially in industries with a high level of injuries. There are accidents caused by violations of rules and regulations at work sites, among them cases related to non-compliance with the rules of wearing protective helmets. The article examines methods and algorithms for recognizing protective helmets and helmets, and assesses their effectiveness.

    Keywords: convolutional neural network, object recognition, protective helmets. helmets, SSD, YOLOv5, Faster R-CNN, machine learning, deep learning, image classification

  • Simulation of polymer corrosion in aggressive environments based on percolation theory

    This article discusses modeling of polymer corrosion in aggressive environments based on percolation theory. Within the framework of the work, an algorithm for modeling polymer corrosion was developed, and a program that implements this algorithm in C ++. Paper describes the corrosion modeling algorithm, the structure of the implemented program, and the simulation results for various parameters. The result of this work is an algorithm modeling and an application that performs modeling of the polymer corrosion process in aggressive environments based on the percolation theory according to the developed algorithm, as well as building an image of the damaged material, graphs of the dependence of the length of the boundary of the corrosion region and the area of the remaining material on the modeling step. Algorithm uses Monte-Carlo method for determing area of corrosing region and is suitable for parallel implementation.

    Keywords: percolation theory, corrosion modeling, simulation of physical processes, Monte Carlo method, visualization of simulation results

  • ReducIng time of assessment of text documents similarity in the heterogenious multiprocessor computer system

    We consider the parallel implementation of a simplified shingles algorithm for the speed-up of text documents comparison on heterogeneous computing system based on multi-core processors and the Many Integrated Core (MIC) accelerators. A step-by-step gradual modification of the original single-threaded program is presented as well as the architecture of distributed software web-service for document comparison. The results of testing of the developed prototype, showing the possibility of reducing the time of comparison of documents up to 12 times using multiple accelerators in the system are presented.

    Keywords: shingles algoritm, CRC32, Intel Xeon Phi ™, MIC, OpenMP, Mono, ASP.NET