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вул. Інститутська 11, м. Хмельницький, 29016

ОСОБЛИВОСТІ РОЗРОБКИ БАЗИ ДАНИХ ОДЯГУ МЕДИЧНОГО ПЕРСОНАЛУ

DATABASE OF MEDICAL CLOTHING TO APPLY DEEP LEARNING IN APPAREL DESIGN

Сторінки: 70-76. Номер: №5, 2019 (277)
Автори:
Е. А. ЕЛЬНАШАР
Університет Кафрельшейха, Єгипет
О. В. ЗАХАРКЕВИЧ, А. В. СЕЛЕЗНЬОВА, С. Г. КУЛЕШОВА
Хмельницький національний університет
E. A. ELNASHAR
Kafrelsheikh University, Egypt
O. V. ZAKHARKEVICH, A. V. SELEZNEVA, S. G. KULESHOVA
Khmelnytsky National University
DOI: https://www.doi.org/10.31891/2307-5732-2019-277-5-70-76
Рецензія/Peer review : 23.05.2019 р.
Надрукована/Printed : 23.07.2019 р.

Анотація мовою оригіналу

Визначені окремі конструктивно-композиційні рішення медичного одягу для формування бази даних зображень медичного одягу, яка може бути використана для глибокого навчання машин, пряме призначення яких – підбір конструктивного прототипу одягу повсякденного призначення для розробки одягу медичного призначення.
Ключові слова: медичний одяг, база даних, ознаки виробу, семантичний диференціал, евклідова відстань.

Розширена анотація англійською мовою

The main objective of the study is to organize the database of properly labelled images of medical clothing. It was considered advisable to use as labels specific features of the particular garment type rather than its name because the features are standard and can be determined specifically. With the help of the developed bipolar scales of semantic differential, the description of key emotional attributes of medical clothes in the form of psychographic profiles was made. The selected material was sampled for the next categorical principal components analysis and general assessment of differences that are caused by specific features of medical clothing. Thus, the structure of the databases of medical clothing corresponds to the indicators of clusters, which were revealed in the results of the categorical principal components analysis. Based on the information given in the database the typical design documentation of the garment that is already constructed at the given sewing enterprise might be selected out to design the medical clothing.
Keywords: medical clothing, database, garment features, semantic differential, Euclidian distance.

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