Особливості розробки бази даних одягу медичного персоналу

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.

References

1. Kriukova S. V. Formuvannia vymoh do odiahu dlia medychnoho personalu / S. V. Kriukova, S. M. Bereznenko // Naukovi rozrobky molodi na suchasnomu etapi : tezy dopovidei XVI Vseukrainskoi naukovoi konferentsii molodykh vchenykh ta studentiv (27-28 kvitnia 2017 r., Kyiv). – K. : KNUTD, 2017. – T. 1 : Suchasni materialy i tekhnolohii vyrobnytstva vyrobiv shyrokoho vzhytku ta spetsialnoho pryznachennia. – S. 9-10.
2. Shchutska H. V. Osoblyvosti rozrobky vyrobiv medychnoho pryznachennia z zadanymy volohotransfernymy vlastyvostiamy : monohrafiia / H. V. Shchutska, N. P. Suprun ; Kyiv. nats. un-t tekhnolohii ta dyzainu. – Kyiv : KNUTD, 2018. – 250 s.
3. Halyk I. S. Vykorystannia nanotekhnolohii dlia vyrobnytstva medychnoho tekstyliu / I. S. Halyk, B. D. Semak // Visnyk Kyivskoho natsionalnoho universytetu tekhnolohii i dyzainu. – 2014. – № 3. – S. 176–186.
4. Suprun N. P. Osnovni aspekty rozrobky suchasnoho shpytalnoho odiahu / N. P. Suprun // Visnyk Kyivskoho natsionalnoho universytetu tekhnolohii i dyzainu. – 2017. – № 4 (112). – S. 124–129.
5. Zwolińska M. Impact of the medical clothing on the thermal stress of surgeons / M. Zwolińska, A. Bogdan // Applied Ergonomics. – 2012. – Vol. 43. – Is. 6. – P. 1096–1104.
6. Gupta D. Functional clothing – Definition and classification / Deepti Gupta // Indian Journal of Fibre & Textile Research. – 2011. – Vol. 36 (4). – P. 321–326.
7. Garment Selection and Color Classification [Electronic resource] / C. Grana, M. Manfredi, S. Calderara, R. Cucchiara. – 2015. – URL : http://imagelab.ing.unimore.it/imagelab2015/researchactivity.asp?idAttivita=18.
8. Bengio Y. Deep Learning / Y. Bengio, Y. LeCun, G. Hinton // Nature. – 2015. – № 521. – P. 436–444.
9. Firman T. Designing Apparel with Neural Style Transfer [Electronic resource] / T. Firman, V. Getmanskyi. – 2016. – URL : http://labs.eleks.com/2016/09/designing-apparel-neural-style-transfer.html.
10. Romaniuk O. O. Fashion and Technology: How Deep Learning Can Create an Added Value in Retail [Electronic resource] / O. Romaniuk. – 2017. – URL : http://labs.eleks.com/2017/05/fashion-technology-deep-learning-can-create-added-value-retail.html.
11. Deep Learning for Fast and Accurate Fashion Item Detection [Electronic resource] / E. Smirnov, A. Kulinkin, K. Ivanova, M. Pogrebnyak. – 2016. – URL : https://kddfashion2016.mybluemix.net/kddfashion_finalSubmissions/Deep%20Learning%20for%20Fast%20and%20Accurate%20Fashion%20Item%20Detection.pdf.
12. Computer vision: recognition of clothing in pictures with help of mobile app / Blog of Anetika Company / Habrahabr [Electronic resource]. – 2014. – URL : https://habrahabr.ru/company/anetika/blog/241343/.
13. Snap Fashion – Shop Fashion in a Snap [Electronic resource]. – 2017. – URL : https://www.snapfashion.co.uk/.
14. Asap54 | Fashion Search | Fashion Price Comparison [Electronic resource]. – URL : https://www.asap54.com/.
15. Bogoliubov L. Take pictures of clothes: clothing search based on its image | App Tractor [Electronic resource] / L. Bogoliubov. – 2016. – URL : http://apptractor.ru/info/news/snimite-odezhdu poiskodezhdyi-po-fotografii.html.
16. Zakharkevich O. Defining the main features of clothing to apply deep learning in apparel design / O. Zakharkevich, A. Selezneva, S. Kuleshova, A. Slavinskaya, J. Vovk, G. Shvets // Vlakna a Textil. – 2018. – № 4. – R. 103–109.
17. Vlasiuk N. Kompiuterne rozpiznavannia vydiv odiahu za yikh zobrazhenniamy / N. Vlasiuk, O.V. Zakharkevych, Yu. Dziuba // Resursozberihaiuchi tekhnolohii lehkoi, tekstylnoi i kharchovoi promyslovosti : tezy dopovidei Vseukrainskoi naukovo-praktychnoi Internet-konferentsii molodykh vchenykh ta studentiv, 16-17 lystopada 2017 r. – Khmelnytskyi : KhNU, 2017. – S. 71-72.
18. Sarafan – Clothing search based on photo [Electronic resource]. – URL : https://getsarafan.com/.
19. Kuleshova S. G. Development of expert system based on Kansei Engineering to support clothing design process / S. G. Kuleshova, O. V. Zakharkevich, J. V. Koshevko, & O. A. Ditkovska // Vlakna a Textil. – 2017. – № 3. – P. 30–41.
20. Zakharkevich O. V. Expert system to select the fabrics for transformable garments / O. V. Zakharkevich, T. Zhylenko, Y. Koshevko, S. Kuleshova, O. Ditkovska, G. Shvets // Vlakna a Textil. – 2018. – № 2. – R. 105–112.
21. Zakharkevich O. Forming the database of medical clothing / O. Zakharkevich, Elsayed A. Elnashar (Egypt), A. Selesnyova, S. Kuleshova // Zbirnyk materialiv II Mizhnarodnoi naukovoi konferentsii tekstylnykh ta feshn tekhnolohii Kyiv Tex&Fashion, m. Kyiv, 1-2 lystopada 2018 roku. – Kyiv : KNUTD, 2018. – S. 70-71.