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DSpace at KDPU: Development of the computer vision system based on machine learning for educational purposes
<!DOCTYPE html> <html> <head> <title>DSpace at KDPU: Development of the computer vision system based on machine learning for educational purposes</title> <meta http-equiv="Content-Type" content="text/html; charset=UTF-8" /> <meta name="Generator" content="DSpace 6.3" /> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <link rel="shortcut icon" href="/favicon.ico" type="image/x-icon"/> <link rel="stylesheet" href="/static/css/jquery-ui-1.10.3.custom/redmond/jquery-ui-1.10.3.custom.css" type="text/css" /> <link rel="stylesheet" href="/static/css/bootstrap/bootstrap.min.css" type="text/css" /> <link rel="stylesheet" href="/static/css/bootstrap/bootstrap-theme.min.css" type="text/css" /> <link rel="stylesheet" href="/static/css/bootstrap/dspace-theme.css" type="text/css" /> <link rel="search" type="application/opensearchdescription+xml" href="/open-search/description.xml" title="DSpace"/> <link rel="schema.DCTERMS" href="https://purl.org/dc/terms/" /> <link rel="schema.DC" href="https://purl.org/dc/elements/1.1/" /> <meta name="DC.creator" content="Семеріков, Сергій Олексійович" /> <meta name="DC.creator" content="Vakaliuk, Tetiana A." /> <meta name="DC.creator" content="Мінтій, Ірина Сергіївна" /> <meta name="DC.creator" content="Гаманюк, Віта Анатоліївна" /> <meta name="DC.creator" content="Соловйов, Володимир Миколайович" /> <meta name="DC.creator" content="Бондаренко, Ольга Володимирівна" /> <meta name="DC.creator" content="Нечипуренко, Павло Павлович" /> <meta name="DC.creator" content="Шокалюк, Світлана Вікторівна" /> <meta name="DC.creator" content="Моісеєнко, Наталя Володимирівна" /> <meta name="DC.creator" content="Ruban, Vitalii R." /> <meta name="DC.creator" content="Вакалюк, Тетяна Анатоліївна" /> <meta name="DC.creator" content="Рубан, Віталій Романович" /> <meta name="DCTERMS.dateAccepted" content="2023-01-02T16:54:32Z" scheme="DCTERMS.W3CDTF" /> <meta name="DCTERMS.available" content="2023-01-02T16:54:32Z" scheme="DCTERMS.W3CDTF" /> <meta name="DCTERMS.issued" content="2021-12-09" scheme="DCTERMS.W3CDTF" /> <meta name="DCTERMS.bibliographicCitation" content="Semerikov S. O. Development of the computer vision system based on machine learning for educational purposes / Serhiy O. Semerikov, Tetiana A. Vakaliuk, Iryna S. Mintii, Vita A. Hamaniuk, Vladimir N. Soloviev, Olga V. Bondarenko, Pavlo P. Nechypurenko, Svitlana V. Shokaliuk, Natalia V. Moiseienko, Vitalii R. Ruban // Educational Dimension. – 2021. – Vol. 57. – P. 8–60. – DOI : 10.31812/educdim.4717." xml:lang="uk" /> <meta name="DC.identifier" content="2708-4612" /> <meta name="DC.identifier" content="https://doi.org/10.31812/educdim.4717" scheme="DCTERMS.URI" /> <meta name="DC.identifier" content="http://elibrary.kdpu.edu.ua/xmlui/handle/123456789/6996" scheme="DCTERMS.URI" /> <meta name="DC.description" content="2021. Google Ngram Viewer. https://books.google.com/ngrams/graph?content=computer+vision%2C+machine+vision&year_start=1800&year_end= 2019&corpus=26&smoothing=3&direct_url=t1%3B%2Ccomputer%20vision% 3B%2Cc0%3B.t1%3B%2Cmachine%20vision%3B%2Cc0#t1%3B%2Ccomputer%20vision%3B%2Cc0%3B.t1%3B%2Cmachine%20vision%3B%2Cc0

Adaptive Vision. Libraries comparison. https://docs.adaptive-vision.com/avl/technical_issues/LibrariesComparison.html

Lakshya Agarwal, Manan Mukim, Harish Sharma, Amit Bhandari, and Atul Mishra. 2021. Face Recognition Based Smart and Robust Attendance Monitoring using Deep CNN. In 2021 8th International Conference on Computing for Sustainable Global Development (INDIACom). 699–704 (2021). doi: 10.1109/INDIACom51348.2021.00124

Dana, H.: Ballard and Christopher M. Brown. Computer Vision. Prentice Hall, Englewood Cliffs. https://archive.org/details/computervision0000ball (1982). Accessed 13 Nov 2021

Bennett, J.: Happy, Sad, Angry Workshop. https://github.com/jimbobbennett/HappySadAngryWorkshop (2020). Accessed 13 Nov 2021

Gibson, J. J.: The Perception of the Visual World. Boston (1950) DOI: https://doi.org/10.2307/1418003

Google Cloud. Vision API Product Search pricing. https://cloud.google.com/vision/product-search/pricing48 (2021). Accessed 13 Nov 2021

Gunnar Rutger Grape. Model Based (Intermediate-Level) Computer Vision. Ph. D. Dissertation. Stanford University. https://apps.dtic.mil/sti/pdfs/AD0763673.pdf46 (1973). Accessed 13 Nov 2021

Klingler, N.: Top 8 Applications of Computer Vision in the Education Sector. https://viso.ai/applications/computer-vision-in-education (2021). Accessed 13 Nov 2021

Simon, J. D.: Prince. Computer Vision: Models, Learning, and Inference. Cambridge University Press (2012). Accessed 13 Nov 2021

Juliet, R. C.: Pulliam, Cari van Schalkwyk, Nevashan Govender, Anne von Gottberg, Cheryl Cohen, Michelle J. Groome, Jonathan Dushoff, Koleka Mlisana, and Harry Moultrie. Increased risk of SARS-CoV-2 reinfection associated with emergence of the Omicron variant in South Africa. medRxiv (2021). doi: 10.1101/2021.11.11.21266068 DOI: https://doi.org/10.1101/2021.11.11.21266068

Ashwin Raj, Aparna Raj, and Imteyaz Ahmad. Smart Attendance Monitoring System with Computer Vision Using IOT. Journal of Mobile Multimedia 17, 1–3, 115–125 (2021). doi: 10.13052/jmm1550-4646.17135 DOI: https://doi.org/10.13052/jmm1550-4646.17135

Rezaei, M., Azarmi, M.: 2020. DeepSOCIAL: Social Distancing Monitoring and Infection Risk Assessment in COVID-19 Pandemic. Applied Sciences 10, 21 (2020). doi: 10.3390/app10217514 DOI: https://doi.org/10.3390/app10217514

Lawrence, G. R.: Machine perception of three-dimensional solids. Thesis (Ph. D.). Massachusetts Institute of Technology. https://dspace.mit.edu/bitstream/handle/1721.1/11589/47 (1963). Accessed 13 Nov 2021

Shorten, C., Khoshgoftaar, N. M., Furht, B.: 2021. Deep Learning applications for COVID-19. Journal of Big Data 8 (1), (11 Jan 2021), 18 (2021). doi: 10.1186/s40537-020-00392-9 DOI: https://doi.org/10.1186/s40537-020-00392-9

Sivakumar, S. A., John, J. T., Selvi, G. T., Madhu, B., Shankar, S. U, Arjun, K. P.: 2021. IoT based Intelligent Attendance Monitoring with Face Recognition Scheme. In 2021 5 th International Conference on Computing Methodologies and Communication (ICCMC). 349–353 (2021). doi: 10.1109/ ICCMC51019.2021.9418264 DOI: https://doi.org/10.1109/ICCMC51019.2021.9418264

Ivan Edward Sutherland. Sketchpad, a man-machine graphical communication system. Ph. D. Dissertation. Massachusetts Institute of Technology. http://images.designworldonline.com.s3.amazonaws.com/CADhistory/Sketchpad_A_Man-Machine_Graphical_Communication_System_Jan63.pdf (1963). Accessed 13 Nov 2021 DOI: https://doi.org/10.1145/1461551.1461591

Tkachuk, V., Yechkalo, Yu., Semerikov, S., Kislova, M, Hladyr, Y.: Using Mobile ICT for Online Learning During COVID-19 Lockdown. In Information and Communication Technologies in Education, Research, and Industrial Applications, Andreas Bollin, Vadim Ermolayev, Heinrich C. Mayr, Mykola Nikitchenko, Aleksander Spivakovsky, Mykola Tkachuk, Vitaliy Yakovyna, and Grygoriy Zholtkevych (eds.). Springer International Publishing, Cham, 46–67 (2021). doi: 10.1007/978-3-030-77592-6_3 DOI: https://doi.org/10.1007/978-3-030-77592-6_3

viso.ai. Abandoned Luggage. https://viso.ai/application/abandonedluggage-detection (2021). Accessed 13 Nov 2021

viso.ai. Face Recognition. https://viso.ai/application/face-recognition (2021). Accessed 13 Nov 2021

viso.ai. Facial Emotion Analysis. https://viso.ai/application/emotionanalysis (2021). Accessed 13 Nov 2021

viso.ai. Intrusion Detection. https://viso.ai/application/intrusion-detection (2021). Accessed 13 Nov 2021

viso.ai. Mask Detection: Automatically detect unmasked people in public spaces or indoors. https://viso.ai/application/mask-detection (2021). Accessed 13 Nov 2021

viso.ai. 2021. Parking Lot Occupancy. https://viso.ai/application/parking-lotoccupancy-detection (2021). Accessed 13 Nov 2021

viso.ai. Social Distancing Monitoring. https://viso.ai/application/social-distancing-monitoring (2021). Accessed 13 Nov 2021" xml:lang="uk" /> <meta name="DCTERMS.abstract" content="The article provides an overview of the origins and current state of machine vision systems, examples of machine vision problems. The article describes the use of computer vision systems in education in both conventional and pandemic conditions. The COVID-19 pandemic has triggered changes in education that have modified existing educational applications of computer vision systems and spawned new ones, including social distancing, facial mask recognition, detection of infiltration into universities and schools, prevention of vandalism and detection of suspicious objects, attendance monitoring, recognition of emotions on faces in and without masks. Computer vision systems can also be used in education to introduce immersive educational resources. On the basis of the analysis of autonomous libraries for the identification of dynamic objects, it is concluded that in the creation of computer vision systems for educational purposes it is advisable to use computer vision libraries based on in-depth learning (in particular, the implementation of convolutional neural networks). A prototype computer vision system developed on the basis
of Microsoft Cognitive Toolkit and deployed in the Microsoft Azure cloud is described. The system allows you to perform with a high degree of reliability the main functions: identification of emotions and the presence of a mask on the face, as well as allows you to determine sex, age, hair color, smile intensity, the presence of makeup, glasses, etc." xml:lang="uk" /> <meta name="DC.description" content="Ministry of Education and Science of Ukraine
Grant numbers 0121U113711" xml:lang="uk" /> <meta name="DC.language" content="uk" xml:lang="uk" scheme="DCTERMS.RFC1766" /> <meta name="DC.publisher" content="Academy of Cognitive and Natural Sciences" xml:lang="uk" /> <meta name="DC.subject" content="computer vision" xml:lang="uk" /> <meta name="DC.subject" content="COVID-19" xml:lang="uk" /> <meta name="DC.subject" content="mask detection" xml:lang="uk" /> <meta name="DC.subject" content="education" xml:lang="uk" /> <meta name="DC.title" content="Development of the computer vision system based on machine learning for educational purposes" xml:lang="uk" /> <meta name="DC.type" content="Article" xml:lang="uk" /> <meta name="citation_keywords" content="computer vision; COVID-19; mask detection; education" /> <meta name="citation_issn" content="2708-4612" /> <script type='text/javascript' src="/static/js/jquery/jquery-1.10.2.min.js"></script> <script type='text/javascript' src='/static/js/jquery/jquery-ui-1.10.3.custom.min.js'></script> 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btn-success"> <li><a href="/">DSpace at KDPU</a></li> <li><a href="/handle/0564/46">Електронні публікації</a></li> <li><a href="/handle/0564/47">Фізико-математичний факультет</a></li> <li><a href="/handle/0564/56">Кафедра інформатики та прикладної математики</a></li> </ol> </div> <div class="container"> <div class="well">Будь ласка, використовуйте цей ідентифікатор, щоб цитувати або посилатися на цей матеріал: <code>http://elibrary.kdpu.edu.ua/xmlui/handle/123456789/6996</code></div> <table class="table itemDisplayTable"> <tr><td class="metadataFieldLabel dc_title">Назва: </td><td class="metadataFieldValue dc_title">Development of the computer vision system based on machine learning for educational purposes</td></tr> <tr><td class="metadataFieldLabel dc_contributor">Автори: </td><td class="metadataFieldValue dc_contributor"><a class="author"href="/browse?type=author&value=%D0%A1%D0%B5%D0%BC%D0%B5%D1%80%D1%96%D0%BA%D0%BE%D0%B2%2C+%D0%A1%D0%B5%D1%80%D0%B3%D1%96%D0%B9+%D0%9E%D0%BB%D0%B5%D0%BA%D1%81%D1%96%D0%B9%D0%BE%D0%B2%D0%B8%D1%87">Семеріков, Сергій Олексійович</a><br /><a class="author"href="/browse?type=author&value=Vakaliuk%2C+Tetiana+A.">Vakaliuk, Tetiana A.</a><br /><a class="author"href="/browse?type=author&value=%D0%9C%D1%96%D0%BD%D1%82%D1%96%D0%B9%2C+%D0%86%D1%80%D0%B8%D0%BD%D0%B0+%D0%A1%D0%B5%D1%80%D0%B3%D1%96%D1%97%D0%B2%D0%BD%D0%B0">Мінтій, Ірина Сергіївна</a><br /><a class="author"href="/browse?type=author&value=%D0%93%D0%B0%D0%BC%D0%B0%D0%BD%D1%8E%D0%BA%2C+%D0%92%D1%96%D1%82%D0%B0+%D0%90%D0%BD%D0%B0%D1%82%D0%BE%D0%BB%D1%96%D1%97%D0%B2%D0%BD%D0%B0">Гаманюк, Віта Анатоліївна</a><br /><a class="author"href="/browse?type=author&value=%D0%A1%D0%BE%D0%BB%D0%BE%D0%B2%D0%B9%D0%BE%D0%B2%2C+%D0%92%D0%BE%D0%BB%D0%BE%D0%B4%D0%B8%D0%BC%D0%B8%D1%80+%D0%9C%D0%B8%D0%BA%D0%BE%D0%BB%D0%B0%D0%B9%D0%BE%D0%B2%D0%B8%D1%87">Соловйов, Володимир Миколайович</a><br /><a class="author"href="/browse?type=author&value=%D0%91%D0%BE%D0%BD%D0%B4%D0%B0%D1%80%D0%B5%D0%BD%D0%BA%D0%BE%2C+%D0%9E%D0%BB%D1%8C%D0%B3%D0%B0+%D0%92%D0%BE%D0%BB%D0%BE%D0%B4%D0%B8%D0%BC%D0%B8%D1%80%D1%96%D0%B2%D0%BD%D0%B0">Бондаренко, Ольга Володимирівна</a><br /><a class="author"href="/browse?type=author&value=%D0%9D%D0%B5%D1%87%D0%B8%D0%BF%D1%83%D1%80%D0%B5%D0%BD%D0%BA%D0%BE%2C+%D0%9F%D0%B0%D0%B2%D0%BB%D0%BE+%D0%9F%D0%B0%D0%B2%D0%BB%D0%BE%D0%B2%D0%B8%D1%87">Нечипуренко, Павло Павлович</a><br /><a class="author"href="/browse?type=author&value=%D0%A8%D0%BE%D0%BA%D0%B0%D0%BB%D1%8E%D0%BA%2C+%D0%A1%D0%B2%D1%96%D1%82%D0%BB%D0%B0%D0%BD%D0%B0+%D0%92%D1%96%D0%BA%D1%82%D0%BE%D1%80%D1%96%D0%B2%D0%BD%D0%B0">Шокалюк, Світлана Вікторівна</a><br /><a class="author"href="/browse?type=author&value=%D0%9C%D0%BE%D1%96%D1%81%D0%B5%D1%94%D0%BD%D0%BA%D0%BE%2C+%D0%9D%D0%B0%D1%82%D0%B0%D0%BB%D1%8F+%D0%92%D0%BE%D0%BB%D0%BE%D0%B4%D0%B8%D0%BC%D0%B8%D1%80%D1%96%D0%B2%D0%BD%D0%B0">Моісеєнко, Наталя Володимирівна</a><br /><a class="author"href="/browse?type=author&value=Ruban%2C+Vitalii+R.">Ruban, Vitalii R.</a><br /><a class="author"href="/browse?type=author&value=%D0%92%D0%B0%D0%BA%D0%B0%D0%BB%D1%8E%D0%BA%2C+%D0%A2%D0%B5%D1%82%D1%8F%D0%BD%D0%B0+%D0%90%D0%BD%D0%B0%D1%82%D0%BE%D0%BB%D1%96%D1%97%D0%B2%D0%BD%D0%B0">Вакалюк, Тетяна Анатоліївна</a><br /><a class="author"href="/browse?type=author&value=%D0%A0%D1%83%D0%B1%D0%B0%D0%BD%2C+%D0%92%D1%96%D1%82%D0%B0%D0%BB%D1%96%D0%B9+%D0%A0%D0%BE%D0%BC%D0%B0%D0%BD%D0%BE%D0%B2%D0%B8%D1%87">Рубан, Віталій Романович</a></td></tr> <tr><td class="metadataFieldLabel dc_subject">Ключові слова: </td><td class="metadataFieldValue dc_subject">computer vision<br />COVID-19<br />mask detection<br />education</td></tr> <tr><td class="metadataFieldLabel dc_date_issued">Дата публікації: </td><td class="metadataFieldValue dc_date_issued">9-гру-2021</td></tr> <tr><td class="metadataFieldLabel dc_publisher">Видавництво: </td><td class="metadataFieldValue dc_publisher">Academy of Cognitive and Natural Sciences</td></tr> <tr><td class="metadataFieldLabel dc_identifier_citation">Бібліографічний опис: </td><td class="metadataFieldValue dc_identifier_citation">Semerikov S. O. Development of the computer vision system based on machine learning for educational purposes / Serhiy O. Semerikov, Tetiana A. Vakaliuk, Iryna S. Mintii, Vita A. Hamaniuk, Vladimir N. Soloviev, Olga V. Bondarenko, Pavlo P. Nechypurenko, Svitlana V. Shokaliuk, Natalia V. Moiseienko, Vitalii R. Ruban // Educational Dimension. – 2021. – Vol. 57. – P. 8–60. – DOI : 10.31812/educdim.4717.</td></tr> <tr><td class="metadataFieldLabel dc_description_abstract">Короткий огляд (реферат): </td><td class="metadataFieldValue dc_description_abstract">The article provides an overview of the origins and current state of machine vision systems, examples of machine vision problems. The article describes the use of computer vision systems in education in both conventional and pandemic conditions. The COVID-19 pandemic has triggered changes in education that have modified existing educational applications of computer vision systems and spawned new ones, including social distancing, facial mask recognition, detection of infiltration into universities and schools, prevention of vandalism and detection of suspicious objects, attendance monitoring, recognition of emotions on faces in and without masks. Computer vision systems can also be used in education to introduce immersive educational resources. On the basis of the analysis of autonomous libraries for the identification of dynamic objects, it is concluded that in the creation of computer vision systems for educational purposes it is advisable to use computer vision libraries based on in-depth learning (in particular, the implementation of convolutional neural networks). A prototype computer vision system developed on the basis
of Microsoft Cognitive Toolkit and deployed in the Microsoft Azure cloud is described. The system allows you to perform with a high degree of reliability the main functions: identification of emotions and the presence of a mask on the face, as well as allows you to determine sex, age, hair color, smile intensity, the presence of makeup, glasses, etc.</td></tr> <tr><td class="metadataFieldLabel dc_description">Опис: </td><td class="metadataFieldValue dc_description">2021. Google Ngram Viewer. https://books.google.com/ngrams/graph?content=computer+vision%2C+machine+vision&year_start=1800&year_end= 2019&corpus=26&smoothing=3&direct_url=t1%3B%2Ccomputer%20vision% 3B%2Cc0%3B.t1%3B%2Cmachine%20vision%3B%2Cc0#t1%3B%2Ccomputer%20vision%3B%2Cc0%3B.t1%3B%2Cmachine%20vision%3B%2Cc0

Adaptive Vision. Libraries comparison. https://docs.adaptive-vision.com/avl/technical_issues/LibrariesComparison.html

Lakshya Agarwal, Manan Mukim, Harish Sharma, Amit Bhandari, and Atul Mishra. 2021. Face Recognition Based Smart and Robust Attendance Monitoring using Deep CNN. In 2021 8th International Conference on Computing for Sustainable Global Development (INDIACom). 699–704 (2021). doi: 10.1109/INDIACom51348.2021.00124

Dana, H.: Ballard and Christopher M. Brown. Computer Vision. Prentice Hall, Englewood Cliffs. https://archive.org/details/computervision0000ball (1982). Accessed 13 Nov 2021

Bennett, J.: Happy, Sad, Angry Workshop. https://github.com/jimbobbennett/HappySadAngryWorkshop (2020). Accessed 13 Nov 2021

Gibson, J. J.: The Perception of the Visual World. Boston (1950) DOI: https://doi.org/10.2307/1418003

Google Cloud. Vision API Product Search pricing. https://cloud.google.com/vision/product-search/pricing48 (2021). Accessed 13 Nov 2021

Gunnar Rutger Grape. Model Based (Intermediate-Level) Computer Vision. Ph. D. Dissertation. Stanford University. https://apps.dtic.mil/sti/pdfs/AD0763673.pdf46 (1973). Accessed 13 Nov 2021

Klingler, N.: Top 8 Applications of Computer Vision in the Education Sector. https://viso.ai/applications/computer-vision-in-education (2021). Accessed 13 Nov 2021

Simon, J. D.: Prince. Computer Vision: Models, Learning, and Inference. Cambridge University Press (2012). Accessed 13 Nov 2021

Juliet, R. C.: Pulliam, Cari van Schalkwyk, Nevashan Govender, Anne von Gottberg, Cheryl Cohen, Michelle J. Groome, Jonathan Dushoff, Koleka Mlisana, and Harry Moultrie. Increased risk of SARS-CoV-2 reinfection associated with emergence of the Omicron variant in South Africa. medRxiv (2021). doi: 10.1101/2021.11.11.21266068 DOI: https://doi.org/10.1101/2021.11.11.21266068

Ashwin Raj, Aparna Raj, and Imteyaz Ahmad. Smart Attendance Monitoring System with Computer Vision Using IOT. Journal of Mobile Multimedia 17, 1–3, 115–125 (2021). doi: 10.13052/jmm1550-4646.17135 DOI: https://doi.org/10.13052/jmm1550-4646.17135

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viso.ai. Social Distancing Monitoring. https://viso.ai/application/social-distancing-monitoring (2021). Accessed 13 Nov 2021</td></tr> <tr><td class="metadataFieldLabel dc_identifier_uri">URI (Уніфікований ідентифікатор ресурсу): </td><td class="metadataFieldValue dc_identifier_uri"><a href="https://doi.org/10.31812/educdim.4717">https://doi.org/10.31812/educdim.4717</a><br /><a href="https://elibrary.kdpu.edu.ua/xmlui/handle/123456789/6996">http://elibrary.kdpu.edu.ua/xmlui/handle/123456789/6996</a></td></tr> <tr><td class="metadataFieldLabel dc_identifier_issn">ISSN: </td><td class="metadataFieldValue dc_identifier_issn">2708-4612</td></tr> <tr><td class="metadataFieldLabel">Розташовується у зібраннях:</td><td class="metadataFieldValue"><a href="/handle/0564/56">Кафедра інформатики та прикладної математики</a><br/></td></tr> </table><br/> <div class="panel panel-info"><div class="panel-heading">Файли цього матеріалу:</div> <table class="table panel-body"><tr><th id="t1" class="standard">Файл</th> <th id="t2" class="standard">Опис</th> <th id="t3" class="standard">Розмір</th><th id="t4" class="standard">Формат</th><th> </th></tr> <tr><td headers="t1" class="standard break-all"><a target="_blank" href="/bitstream/123456789/6996/1/eddi_5%2857%29-8-60.pdf">eddi_5(57)-8-60.pdf</a></td><td headers="t2" class="standard break-all"></td><td headers="t3" class="standard">30.99 MB</td><td headers="t4" class="standard">Adobe PDF</td><td class="standard" align="center"><a class="btn btn-primary" target="_blank" href="/bitstream/123456789/6996/1/eddi_5%2857%29-8-60.pdf">Переглянути/Відкрити</a></td></tr></table> </div> <div class="container row"> <a class="btn btn-default" href="/handle/123456789/6996?mode=full"> Показати повний опис матеріалу </a> <a class="statisticsLink btn btn-primary" href="/handle/123456789/6996/statistics">Перегляд статистики</a> </div> <br/> <br/> <p class="submitFormHelp alert alert-info">Усі матеріали в архіві електронних ресурсів захищені авторським правом, всі права збережені.</p> </div> </main> <footer class="navbar navbar-inverse navbar-bottom"> <div id="designedby" class="container text-muted"> <div id="footer_feedback" class="pull-right"> </div> </div> </footer> </body> </html>