| Author(s) | Collection number | Pages | Download abstract | Download full text |
|---|---|---|---|---|
| Дулька О. Б., Vasiuta S. P. | № 2 (69) | 102-109 |
|
|
The effectiveness of modern print production technologies largely depends not only on the finished publication, but also on the effectiveness of the procedures aimed at preparing and producing the publication. One of the most important links in the printing process, which can further affect the quality of the publication, is the layout process. The layout process ensures the stylistic and technical unity of the design, as well as the artistic integrity of the publication, using technical rules, norms and standards. The quality of the finished publication directly depends on the quality of its implementation.
An analysis of recent research shows a growing interest in the use of intelligent technologies, in particular semantic neural networks. Researchers are studying the use of these networks, as it offers new ways to automate and optimise the assessment of layout quality. However, their application remains insufficiently studied to date.
This article discusses the theoretical foundations of neural networks and their practical application in publishing. The article discusses the advantages of using neural network technologies in comparison with traditional methods of assessing the quality of layout, such as semantic networks, since this approach will allow taking into account the complex interrelationships between different stages of layout and provide an objective assessment of the quality of the final product.
The article describes the process of building systemic neural networks, which consists of the following stages: determination of the factors influencing the research object and the initial research parameters, as well as data standardisation; selection of the neural network structure and its training.
The study outlines a number of key factors that affect the quality of book layout, including: type of publication, size parameters of the publication, font design, illustration design, layout complexity group, rules of assembly and completion.
Keywords: semantic neural network, layout, neural network
doi: 10.32403/1998-6912-2024-2-69-91-101
- 1. Senkivskyi VM, Pikh IV, Senkivska NE Theoretical foundations of quality assurance of publishing and printing processes (Part 1: General principles) / V.M. Senkivskyi, I.V. Pikh, N.E. Senkivska // Scientific Notes [of the Ukrainian Academy of Printing]. - 2016. - No. 1. - P. 22-31. - Access mode: http://nbuv.gov.ua/UJRN/Nz_2016_1_4.
- 2. Bulakh T. System of criteria for assessing the quality of book products / T. Bulakh // Bulletin of the Book Chamber. - 2013. - No. 8. - P. 3-7. - Access mode: http://nbuv.gov.ua/UJRN/vkp_2013_8_2.
- 3. Senkivskyi V.M., Kozak R.O. Model of criteria for the compositional design of book publications / V.M. Senkivskyi, R.O. Kozak // Scientific Notes [of the Ukrainian Academy of Printing]. - 2008. - No. 1. - P. 125-139. - Access mode: http://nbuv.gov.ua/UJRN/Nz_2008_1_21.
- 4. Vasylyshyn D.V. Technology of typesetting and layout: a textbook / D.V. Vasylyshyn: Ukrainian Academy of Printing, 2011. 272 p.
- 5. Senkivskyi VM, Kudriashova AV, Kozak RO Semantic network of factors in the formation of a publishing portfolio / V.M. Senkivskyi, A.V. Kudriashova, R.O. Kozak // Polygraphy and publishing. - 2018. - No. 2. - P. 39-45. - Res. in English - Bibliography: p. 43.
- 6. Makukha M.P. Modeling of scenarios of future events based on semantic networks and situational logic / M.P. Makukha // Scientific works [of Odesa National Academy of Food Technologies]. - 2010. - Issue 38(1). - P. 339-346. - Access mode: http://nbuv.gov.ua/UJRN/Np_2010_38%281%29__79
- 7. Tereykovsky I.A. Using a semantic neural network in the tasks of monitoring textual information / I.A. Tereykovsky // Bulletin of the State University of Information and Communication Technologies. - 2012. - Vol. 10, No. 1. - P. 35-41. - Access mode: http://nbuv.gov.ua/UJRN/vduikt_2012_10_1_8.
- 8. Kruglik, V. S. and Astafiev, V. Y. (2021) Features of the implementation of a semantic neural network for creating a generator of educational crosswords. Bulletin of Kremenchuk Mykhailo Ostrohradskyi National University, 2 (127). pp. 81-87. ISSN 1995-0519 (print); 2072-8263 (online).
- 9. Information environment of oil and gas enterprises. Scientific Bulletin of Ivano-Frankivsk National Technical University of Oil and Gas. 2011. № 4 (30). P. 55-60.
- 10. Grigorova A.A. Artificial neural networks and features of their construction for solving forecasting problems / A.A. Grigorova, M.B. Stoyanova // Bulletin of Kherson National Technical University - Kherson - 2017 - No. 4 /63. - P.160-166.
- 11. POELS, Geert, et al. Measuring the perceived semantic quality of information models. In: Perspectives in Conceptual Modeling: ER 2005 Workshops AOIS, BP-UML, CoMoGIS, eCOMO, and QoIS, Klagenfurt, Austria, October 24-28, 2005. Proceedings 24. Springer Berlin Heidelberg, 2005. p. 376-385.
- 12. Tereykovsky I. A., Bushuyev D. A., Tereykovskaya L. O. Artificial Neural Networks: BASIC PROVISIONS Study guide: Igor Sikorsky Kyiv Polytechnic Institute, 2022. 122 p. https://ela.kpi.ua/server/api/core/bitstreams/9fee52b6-83fc-4e99-8541-c2767f634c7c/content.
- 13. Senkivsky V. M., Osinchuk O. I. “Classification of factors for printing processes” / V. M. Senkivsky, O. I. Osinchuk // Scientific Notes [Ukrainian Academy of Printing]. 2017. - No. 1. - P. 60-67.
- 14. Melnyk Y. M. Analysis of the marketing complex of the book publishing sector / Y. M. Melnyk, O. V. Drachuk // Marketing and management of innovations. - 2010. - № 1. - p. 90-101. - Access mode: http://nbuv.gov.ua/UJRN/Mimi_2010_1_13.
- 15. Composition of the publication: Design of fiction: a workshop [Electronic resource] : a textbook for students majoring in 023 “Fine Arts, Decorative Arts, Restoration” / Igor Sikorsky Kyiv Polytechnic Institute ; compiled by I. P. Shalinsky - Electronic text data (1 file: 8.26 MB). - Kyiv : Igor Sikorsky Kyiv Polytechnic Institute, 2020. - 92 p.
- 16. Pre-press information processing. Pre-press processing of textual information (Text): methodical instructions for performing practical work in the discipline for students of specialties 6.051501 “Technology of printed publications” and 6.051503 “Technology of development, production and design of packages” of the publishing and printing institute / Compiled by L.G. Vuyets, I.O. Kyrychenko, G.M. Kostyuchenko - K.: NTUU “KPP”, 2009. 32 p.
- 17. Gavrysh B.M., Selmenska Z.M. Computer processing of textual information. Lviv, 2023. - 198 p.
- 18. Scientific and Practical Conference “Multimedia Technologies in Education and Other Spheres of Activity”: Abstracts. - K.: NAU, 2021. - 166 p.
- 19. Tkachenko V.P., Chebotareva I.B., Kyrychok P.O., Grigorova Z.V. Encyclopedia of publishing: Study guide. - Kh.: KNURE, 2008. - 320 p.
- 20. Vytvitska O.M. Information environment of oil and gas enterprises. Scientific Bulletin of Ivano-Frankivsk National Technical University of Oil and Gas. 2011. № 4 (30). P. 55-60.