Факультет технологій та дизайну
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Перегляд Факультет технологій та дизайну за Автор "Kuleshova, Svetlana"
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Документ Algorithms to assess by criteria the harmony of the typological ranges of cutting lines in clothes(2018) Slavinskaya, Alla; Syrotenko, Oksana; Kuleshova, Svetlana; Zakharkevich, OksanaThe main objective of the study is to develop the algorithms to assess by criteria the harmony of the typological ranges of cutting lines in clothes. In order to develop the algorithms models of the analytical description of the restrictions in the modification process of the designing object were described. The developed algorithms are as follows: algorithm to specify the anthropometric information in the system of projection dimensions of harmonious female body; algorithm to classify the typical bodies by the indices of deviation in the net of harmonious cutting lines; algorithm to transform the general sketch of harmonious female body into the given body type; algorithm to design the universal construction for the transformation chain of typological range of designing object; algorithm to modify the horizontal projection cutting lines into curve lines of the garment; algorithm to define the designing object; algorithm to form the production model of the knowledge base of expert system.Документ Application of deep learning in apparel design(2017) Свірук, Л.; Курочка, С.; Захаркевич, Оксана Василівна; Кулешова, Світлана Геннадіївна; Sviruk, Lesya; Kurochka, Snizhana; Zakharkevich, Oksana; Kuleshova, SvetlanaDeep learning has many applications in contemporary world, which include the tasks of predicting the fashion as well as analysing the images of outfits and forming the textual description of the sketch. The paper is devoted to the examination of fashion search engines that probably could be utilised in apparel industry. Based on the results of performed online survey, it was determined that it is advisable to use as labels for the images specific features of the particular garment type rather than its name. Analysis of images of outerwear, which were obtained with the help of reverse image search, was conducted and images of women's duffle coats were selected. The selected material was sampled for the categorical principal components analysis and general assessment of differences of the garments images. It was determined that less than 30% of original population of images were sampled with required level of accuracy. All found images of the duffle coats cause the similar consumers' impressions. It was determined that deep learning can be used only for the purposes of similarity search for the online shops, which are oriented to the consumers’ impressions rather than to retrieving the features of fashionable outfits.Документ Coloristic design of clothing on the basis of color perception(2019-10) Voznuk, Masha; Zemlyakova, Viktoria; Kuleshova, Svetlana; Syrotenko, OksanaThis work contains knowledge about a color theory that plays an important role in the process of planning the visual variety of clothing. The special attention is paid to the creation of the authors’ clothing models on the base of the color perception. The fractal structural model of perception of color is worked out. It allows taking into account character of functioning of component parts of this process. The consumers’ reactions to the color of a garment are taken into account. The consumers’ color preferences from the standpoint of not only the personality of the individual, but also the socio-psychological appearance are determined. Using the results of the current research, а designer can choose the color solution for single or serial production, as well as specify a certain color range, which can also be applied for outfits. In the last stage, a transition to the distribution of selected colors among the details of a garment is made. It takes into account the dimensions of the specific elements to obtain a harmonious combination of proportions of details.Документ Development of a technology for interactive design of garments using add-ons of a virtual mannequin(Eastern-European Journal of Enterprise Technologies, 2018-11) Slavinska, Alla; Syrotenko, Oksana; Kuleshova, Svetlana; Zakharkevich, OksanaДосліджена проблема розробки технології інтерактивного конструювання одягу інженерними методами, що дозволяє застосувати пасивний режим автоматизованого проектування конструкторської документації. Теоретичною передумовою модульних підходів до формалізації проектування конструкцій одягу є сформульовані принципи координації дій в алгоритмах перетворення множин об’єкта дослідження. Технологія побудови геометричної моделі об’єкта представлена трьома видами інформаційних моделей: цифрова, сітчаста, поверхнева. В результаті аналітичних та експериментальних досліджень обґрунтовано алгоритм проектних ситуацій здійснення перетворень поверхні вихідного об’єкту, яким виступає електронний манекен, в конструкцію виробу. Теоретично обґрунтовано вихідну базу даних для побудови та модифікації каркасних 3D-моделей манекенів, з метою забезпечення достовірності їх візуалізації. Досліджено механізм інтерактивного модифікування оболонок поверхні одягу в циклі його силуетної деформації та побудови плоских розгорток одягу адаптованих до векторів модифікування ділянок поверхні манекена, для отримання конструкцій виробів ідентичних оригіналу морфологічної структури тіла споживача. Запропоновано 4 сценарії проектних ситуацій відтворення та трансформації 3D-моделі силуетної поверхні манекена та виробу за оптимальним маршрутом, для підвищення швидкості та якості процесів комп’ютерного конструювання деталей одягу на фігури типової та нетипової тілобудови. Апарат побудови зображень цифрової моделі тривимірного об’єкта враховує топологію геометричної структури форми та морфологічне поле синергетичних зв’язків елементів в процесах переходу від 3D до 2D проектування. Сценарій адаптації силуетних 3D зображень виробу до модифікованих 2D конструкторських документів на засадах верифікації бази даних. Оцінку ефективності технології конструювання швейних виробів виконано за кількістю ітерацій проектних операцій в проектних процедурах з перевіркою рівня якостіДокумент Development of expert system based on Kansei Engineering to support clothing design process(2017) Кулешова, Світлана Геннадіївна; Захаркевич, Оксана Василівна; Кошевко, Юлія Володимирівна; Дітковська, Олеся Анатоліївна; Kuleshova, Svetlana; Zakharkevich, Oksana; Koshevko, Julia; Ditkovska, OlesyaThe article presents the development of the concept of operation of the expert system prototype for the selection of clothes according to the consumer’s wishes on the basis of the methodology of Kansei engineering in the shell ‘Rapana’, which ensures the dialogue in the form of successive questions of the system and the user's responses to express consumer’s impressions about the design elements of the garment.Документ Evaluating the level of clothes harmonisation(2017) Кулешова, Світлана Геннадіївна; Славінська, Алла Людвигівна; Захаркевич, Оксана Василівна; Швець, Галина Станіславівна; Kuleshova, Svetlana; Slavinska, Alla; Zakharkevich, Oksana; Shvets, GalinaAesthetic garment quality is one of the most important problems of the apparel design. Fashion designer has a need in some numerical methods to evaluate the level of harmonization in order to reveal the weaknesses in the garment design. Method of complex assessment of aesthetic quality in clothes design is based on the calculation of the weighting factors of unit indexes of aesthetic quality. Compiled list of indexes which characterise aesthetic garment quality is represented in the table form. The weighting factors of the indexes were calculated. Sequence of actions for the evaluation the level of harmonization is presented with examples of women’s outfits.Документ Forming the database of medical clothing(Київський національний університет технологій та дизайну, 2018) Zakharkevich, Oksana; Elnashar, Elsayed Ahmed; Selesnyova, Anna; Kuleshova, SvetlanaThe purpose of the study is to investigate the features of medical clothing in order to form the database of the images of medical clothes. For the first time the method of semantic differential was used to investigate the perception of medical clothing of Ukrainian medical personal. It allows forming the database of medical clothing images taking into account impression of the clothes as well as its design elements. Practical value is database of images of medical clothing that cause specific impressions onto the person.Документ Image clothing as a perceptual component of clothing design(2017) Кулешова, Світлана Геннадіївна; Славінська, Алла Людвигівна; Захаркевич, Оксана Василівна; Швець, Галина Станіславівна; Kuleshova, Svetlana; Slavinska, Alla; Zakharkevich, Oksana; Shvets, GalinaIn the paper image clothing is described as a result of interaction of person’s coloring and psychological features of person. The main idea of the article is that every person has a unique pattern of body coloring and also particular preferences for color that relate to their temperament and past experiences. Contemporary study of four classical temperaments in the approaches of image clothing and selecting colors is applied in the work. Authors improved the incidence matrixes that show the relationships between two classes of objects: first one shows the relationship between clothing colors and personality; and the second one is about to identify the best color palette for person’s body coloring.Документ Method of analyzing images of clothes based on Kansei Engineering(2017) Курочка, С.; Свірук, Л.; Кулешова, Світлана Геннадіївна; Захаркевич, Оксана Василівна; Kurochka, Snizhana; Sviruk, Lesya; Kuleshova, Svetlana; Zakharkevich, OksanaFashion, in contemporary world is becoming more sophisticated day by day. Its implications on general public are dramatically increasing in the cultural level that divides community into different subcultures. Hence, the emotional aspect of people towards ‘Fashion Industry’ is rising at a rapid rate. The most important component of customer’s impression must be considered in terms of garment design in order to maintain leadership on the market. This paper aims to evaluate the emotional component of the garment with semantic differential. The process of evaluating consumer’s emotional experience consists of steps that provide an ability to classify the Kansei attribute of clothes. They are considered as key issues for the concept of recognition of images, and particularly emotions. Method based on Kansei Engineering model is used to develop the full range of emotional keywords and their affinity cluster. The result shows that this method will be a good reference to design studies that involved with user's personal emotional experience in the field of clothing design. This research intends to seek the psychological and emotional parameters that influence the selection of a particular dress and colour for female. The research involves the results of a designed survey.