автоматизація

The article presents a comprehensive examination of domestic and international experiences in developing management systems for recreational enterprises. A thorough comparative analysis was conducted, focusing on approaches to managing recreational enterprises in Europe (with case studies from Italy, Spain, and France), the United States, and Asia (exemplified by Japan, Singapore, and South Korea). This analysis facilitated the identification of strengths, weaknesses, and both shared and distinctive features when compared to domestic practices.

The peculiarities of the use of the harmonized system of description and coding of goods, the harmonized tariff system of codes in modern customs classification systems are analyzed. Special attention is paid to the challenges that arise when applying these codes, in particular due to the complexity of the product nomenclature, as well as the variety of product descriptions. In addition, the possibilities of integrating IT technologies, machine learning and artificial intelligence methods to automate and optimize customs classification procedures are being explored.

Model based on colored Petri nets, and dedicated for analysis an impact factors of the software complexes support automation processes, has been developed. Model provides possibilities for simulation of the processes of impact factors analysis in the field of software complexes support automation when solving the scientific and applied task of analyzing and restoring the boundaries of impact factors in supported objects subjective perception models with encapsulated artificial neural networks of multilayer perceptron type.

The integration of artificial intelligence into the logistics industry is a rapidly evolving field with the potential to revolutionize the way goods are transported and managed. Artificial intelligence can be used to optimize a wide range of logistics processes, from demand forecasting and route planning to warehouse management and customer service. However, the integration of artificial intelligence also raises a number of technical and ethical issues that need to be addressed to ensure its successful implementation.

The primary objective of this research is to develop an advanced automated method for configuring and managing public cloud accounts and subscriptions on prominent platforms such as AWS, GCP, and Azure. This method involves the application of standardized configurations to ensure optimal performance and security compliance. A significant component of this methodology is the intermittent scanning of the infrastructure of these cloud accounts and subscriptions.

Розглянуто основні засоби автоматизації роботи з електронною документацією, відзначено переваги застосування електронного документообігу в установах та орга- нізаціях. Проаналізовано сучасні програми та системи, які можуть реалізувати застосування електронного документообігу. Відзначено важливість використання автоматизо- ваних систем у туризмі.

Описано систему автоматичного реферування множини документів. Показано, що серед існуючих систем практично немає таких, що займаються множинним реферуванням. Спроектовано інформаційну модель такої системи.

The system of the automatic abstracting of great number of documents is described in the article. It is shown that among the existent systems practically is not such which engage in plural abstracting. The informative model of such system is projected.

Workflow is a sequence of repeated and controlled steps aimed at completing a specific task or work. The urgency of the task of optimizing such works contributed to the development of methods and means  of  operations  research  to  optimize  such  processes  for  the  needs  of  various  subject  areas. Information technologies to support such workflow are workflow engines that enable faster automation, ensure compliance with norms and standards, formalize business processes, improve communication, etc.

A brief description of the basic stages of image processing is given to pay attention to the segmentation stage as a
possible way to improve efficiency in decision-making. The main characteristics of the presented model are visual signs, such as
color, shape, the presence of a stem, and others. Due to the different approaches in image processing, a high level of truthfulness is
achieved, which is expressed in the percentage ratio of the accuracy of decision-making and varies in the range from 90 to 96%.