Docker

The article addresses the problem of counterfeit goods using Blockchain technology. An analysis of existing methods and tools for combating counterfeiting has been conducted, justifying the choice of blockchain as an effective means of ensuring transparency and data protection. An analysis of existing anti-counterfeiting approaches has been conducted, justifying the choice of blockchain as an effective method for ensuring transparency and data protection.

With the development of containerized environments, the issue of security is becoming critical for application deployments. This article provides a comparative analysis of static and dynamic methods for scanning Docker container images. Static analysis is used to identify potential vulnerabilities before container deployment, while dynamic analysis is performed in an isolated environment at runtime, ensuring product reliability.

The paper presents the development of a cyber-physical system based on the HomeAssistant platform for efficient automation and control of Internet of Things (IoT) devices. The architectural features, technical implementation and prospects for the development of the system are considered, with an emphasis on the ability to integrate a wide range of sensors and IoT devices into a single network to create adaptive and intelligent solutions.

As a result of the analytical review, it was established that the family of Yolo models is a promising area of search and recognition of objects. However, existing implementations do not support the ability to run the model on the iOS platform. To achieve these goals, a comprehensive scalable conversion system has been developed to improve the recognition accuracy of arbitrary models based on the Docker system. The method of improvement is to add a layer with the Mish activation function to the original model. The method of conversion is to quickly convert any Yolo model to CoreML format.