This scientific article examines the application of artificial intelligence and machine learning in the textile industry with an emphasis on the automation of the design of weaving weaves. The article discusses research and approaches using neural networks, genetic algorithms, deep learning methods and computer vision to create, optimize and analyze weaves. The main attention is paid to the comparison of existing software solutions that allow automating the design process and significantly improving its productivity, accuracy and quality. The importance of integrating AI and machine learning into the textile industry is emphasized, as this opens up new opportunities for automating processes, improving product quality and increasing the competitiveness of the textile industry at the global level.
Keywords: automation, modern systems, design technologies, computer-aided design, information systems, software, fabric drawings, computer-aided design of weaving patterns, innovations in the textile industry, process optimization, digitalization
The article contains information about the factors influencing the attitude of consumers to tourist offers, and provides recommendations on the organization of an effective advertising campaign of a travel company belonging to the category of small and medium-sized businesses in the vastness of the global network.
Keywords: campaign, advertising, tourism, internet, website, direct, marketplace, query, statistics, Iran
Currently, counterfeit goods began dating in all types of consumer goods. The sector of textile products is one of the most susceptible to counterfeiting. A lot of companies confronted with the problem of counterfeiting of their products on a commercial scale. One of the promising directions in the area of protection against counterfeiting of products is the use of RFID technology. On the basis of one of the basic RFID standards established technology NFC, electronics manufacturers inserted into the smartphones the corresponding module. Using NFC technology, together with the developed system for the identification of products can serve as additional, and for some companies and the only protection against forgery.Each item in the system has a unique QR-code link to the page containing detailed information. Link consists of a website address and a unique identifier. The resulting QR-code may be printed on the label of the product, which is integrated with the NFC tag containing the same unique identifier. QR-code reading is carried out by appropriate application. NFC tag reading is possible if the corresponding module, which is now present in most mobile devices. The owner of a mobile device, comparing the received code, be able to distinguish original products from counterfeits.
Keywords: counterfeit goods, RFID technology, two-dimensional coding, QR-code