{"title":"GRINDING TEMPERATURE MODEL SIMPLIFICATION FOR THE OPERATION INFORMATION SUPPORT SYSTEM","authors":"V. Larshin, N. Lishchenko","doi":"10.15276/hait.03.2019.3","DOIUrl":"https://doi.org/10.15276/hait.03.2019.3","url":null,"abstract":"","PeriodicalId":375628,"journal":{"name":"Herald of Advanced Information Technology","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125447056","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
T. Otradskaya, N. Rudnichenko, Denis Shibaev, Natalia Shibaeva, V. Vychuzhanin
{"title":"DATA CONTROL IN THE DIAGNOSTICS AND FORECASTING THE STATE OF COMPLEX TECHNICAL SYSTEMS","authors":"T. Otradskaya, N. Rudnichenko, Denis Shibaev, Natalia Shibaeva, V. Vychuzhanin","doi":"10.15276/hait.03.2019.2","DOIUrl":"https://doi.org/10.15276/hait.03.2019.2","url":null,"abstract":"","PeriodicalId":375628,"journal":{"name":"Herald of Advanced Information Technology","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122028304","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"3D VECTOR FIELDS VISUALIZATION USING GRAPHICS PROCESSING UNITS","authors":"S. Antoshchuk, O. Romanyuk, S. Vyatkin","doi":"10.15276/hait.03.2019.1","DOIUrl":"https://doi.org/10.15276/hait.03.2019.1","url":null,"abstract":"","PeriodicalId":375628,"journal":{"name":"Herald of Advanced Information Technology","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124411832","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Today there is a situation in which customers reveal a great interest in ensuring the availability of the contents of the Website, as this allows expanding the target audience. The extension of the audience is supposed to be due to the possibility of interaction between groups of users with disabilities with a Web interface. At the same time, the quality of this interaction depends on the level of accessibility of the Website interface. The transition to Websites that have an average or even high level of accessibility is carried out through the implementation of solutions, most of which are clearly standardized. However, choosing a solution to move to a new level of accessibility of the Website’s interface, developers are faced with the following problem: a lack of understanding of various types of violations related to the health of users leads to the fact that, as a result of development, a product is released onto the market that is still not available for certain user groups. This mainly concerns people who have cognitive impairment. To solve this problem, it was proposed to build a Web-based accessibility model that takes into account the main types of user health problems, and also follows the recommendations of the WCAG 2.0 standard. At the first stage, an accessibility model was formulated, called the classic. The components of the classic accessibility model were determined by analyzing existing Websites. To increase the level of accessibility, an expanded accessibility model was developed. The implementation of this model allows us to ensure, in addition to improving the quality of interaction between users with disabilities with the Web interface, also improving the user’s perception of the information posted on the Website. The testing of the Website, implemented on the basis of the expanded accessibility model, was carried out at Odessa National Polytechnic University. For the experiment, a group of thirty students was formed. More than twenty-five percent of students were people with disabilities. As a result of the experiment, it was proved that the implementation of the expanded accessibility model allows to increase the quantitative indicators of the following parameters of the Website interface: the quality of user interaction with the web interface and the quality of user perception of the information presented on the Website. Based on the results obtained, a conclusion was made about increasing the level of accessibility of the Web interface by twenty percent.
{"title":"THE WEB-INTERFACE AVAILABILITY MODEL FOR PEOPLE WITH DISABILITIES","authors":"T. Onishchenko, K. Pysarenko, Alexandr Tyshchenko","doi":"10.15276/hait.03.2019.4","DOIUrl":"https://doi.org/10.15276/hait.03.2019.4","url":null,"abstract":"Today there is a situation in which customers reveal a great interest in ensuring the availability of the contents of the Website, as this allows expanding the target audience. The extension of the audience is supposed to be due to the possibility of interaction between groups of users with disabilities with a Web interface. At the same time, the quality of this interaction depends on the level of accessibility of the Website interface. The transition to Websites that have an average or even high level of accessibility is carried out through the implementation of solutions, most of which are clearly standardized. However, choosing a solution to move to a new level of accessibility of the Website’s interface, developers are faced with the following problem: a lack of understanding of various types of violations related to the health of users leads to the fact that, as a result of development, a product is released onto the market that is still not available for certain user groups. This mainly concerns people who have cognitive impairment. To solve this problem, it was proposed to build a Web-based accessibility model that takes into account the main types of user health problems, and also follows the recommendations of the WCAG 2.0 standard. At the first stage, an accessibility model was formulated, called the classic. The components of the classic accessibility model were determined by analyzing existing Websites. To increase the level of accessibility, an expanded accessibility model was developed. The implementation of this model allows us to ensure, in addition to improving the quality of interaction between users with disabilities with the Web interface, also improving the user’s perception of the information posted on the Website. The testing of the Website, implemented on the basis of the expanded accessibility model, was carried out at Odessa National Polytechnic University. For the experiment, a group of thirty students was formed. More than twenty-five percent of students were people with disabilities. As a result of the experiment, it was proved that the implementation of the expanded accessibility model allows to increase the quantitative indicators of the following parameters of the Website interface: the quality of user interaction with the web interface and the quality of user perception of the information presented on the Website. Based on the results obtained, a conclusion was made about increasing the level of accessibility of the Web interface by twenty percent.","PeriodicalId":375628,"journal":{"name":"Herald of Advanced Information Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130116013","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"INFORMATION TECHNOLOGY SUPPORT FOR DECISION MAKING GEOINFORMATION SYSTEMS","authors":"D. Uhryn","doi":"10.15276/hait.02.2019.4","DOIUrl":"https://doi.org/10.15276/hait.02.2019.4","url":null,"abstract":"","PeriodicalId":375628,"journal":{"name":"Herald of Advanced Information Technology","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134029623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
O. Kolesnikov, Dmytro Lukianov, O. Sherstyuk, K. Kolesnikova, Олексій Євгенович Колесників, Дмитро Володимирович Лук’янов, Ольга Ігорівна Шерстюк, Катерина Вікторівна Колеснікова, Алексей Евгеньевич Колесников, Дмитрий Владимирович Лукьянов, Ольга Игоревна Шерстюк, Екатерина Викторовна Колесникова
{"title":"PROJECT MANAGER JOB DESCRIPTION AS ONE OF PROJECT MANAGEMENT KEY SUCCESS FACTORS","authors":"O. Kolesnikov, Dmytro Lukianov, O. Sherstyuk, K. Kolesnikova, Олексій Євгенович Колесників, Дмитро Володимирович Лук’янов, Ольга Ігорівна Шерстюк, Катерина Вікторівна Колеснікова, Алексей Евгеньевич Колесников, Дмитрий Владимирович Лукьянов, Ольга Игоревна Шерстюк, Екатерина Викторовна Колесникова","doi":"10.15276/HAIT.03.2019.5","DOIUrl":"https://doi.org/10.15276/HAIT.03.2019.5","url":null,"abstract":"","PeriodicalId":375628,"journal":{"name":"Herald of Advanced Information Technology","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122886152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zhanna Burlachenko, S. Velykodniy, S. Zaitseva-Velykodna
{"title":"SOFTWARE FOR AUTOMATED DESIGN OF NETWORK GRAPHICS OF SOFTWARE SYSTEMS REENGINEERING","authors":"Zhanna Burlachenko, S. Velykodniy, S. Zaitseva-Velykodna","doi":"10.15276/hait.02.2019.2","DOIUrl":"https://doi.org/10.15276/hait.02.2019.2","url":null,"abstract":"","PeriodicalId":375628,"journal":{"name":"Herald of Advanced Information Technology","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115500192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"INFORMATION TECHNOLOGY OF DYNAMIC FORMATION OF CONTENT DEPENDING ON THE CHARACTERISTICS OF THE RECEIVING -TRANSMITTING SYSTEM","authors":"V. Krisilov, K. Pysarenko, Vũ Ngọc Huy","doi":"10.15276/hait.02.2019.1","DOIUrl":"https://doi.org/10.15276/hait.02.2019.1","url":null,"abstract":"","PeriodicalId":375628,"journal":{"name":"Herald of Advanced Information Technology","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128887172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
V. Liubchenko, O. Saveleva, E. Zabarna, Віра Вікторівна Любченко, Оксана Степанівна Савельєва, Елеонора Миколаївна Забарна, Вера Викторовна Любченко, Оксана Степановна Савельева, Элеонора Николаевна Забарна
Vira V. Liubchenko 1 , Doctor of Technical Sciences, Professor, Professor of System Software Department, E-mail: lvv@opu.ua, ORCID: 0000-0002-4611-7832 Oksana C. Saveleva 1 , Doctor of Technical Sciences, Professor, Professor of Department of Oil and Gas and Chemical Engineering, E-mail: saveleva@opu.ua, ORCID: 0000-0002-0453-4777 Eleonora N. Zabarna Doctor of Economic Sciences, Professor, Head of Department of Economic Systems and Management of Innovation Development, E-mail: e.m.zabarna@opu.ua, ORCID: 0000-0002-2659-5909 1 Odessa National Polytechnic University, Shevchenko Avenue, 1, Odessa, 65044, Ukraine
Oksana C. Saveleva 1，技术科学博士，教授，教授，石油与天然气与化学工程系教授，E-mail: saveleva@opu.ua, ORCID: 0000-0002-0453-4777 Eleonora N. Zabarna经济科学博士，教授，经济系统与创新发展管理系主任，E-mail:e.m.zabarna@opu.ua, ORCID: 0000-0002-2659-5909 1敖德萨国立理工大学，舍甫琴科大道1，敖德萨65044
{"title":"IMPROVED PROJECT-BASED LEARNING AS THE METHOD OF KNOWLEDGE TRANSFER BETWEEN UNIVERSITY AND BUSINESS","authors":"V. Liubchenko, O. Saveleva, E. Zabarna, Віра Вікторівна Любченко, Оксана Степанівна Савельєва, Елеонора Миколаївна Забарна, Вера Викторовна Любченко, Оксана Степановна Савельева, Элеонора Николаевна Забарна","doi":"10.15276/HAIT.02.2019.5","DOIUrl":"https://doi.org/10.15276/HAIT.02.2019.5","url":null,"abstract":"Vira V. Liubchenko 1 , Doctor of Technical Sciences, Professor, Professor of System Software Department, E-mail: lvv@opu.ua, ORCID: 0000-0002-4611-7832 Oksana C. Saveleva 1 , Doctor of Technical Sciences, Professor, Professor of Department of Oil and Gas and Chemical Engineering, E-mail: saveleva@opu.ua, ORCID: 0000-0002-0453-4777 Eleonora N. Zabarna Doctor of Economic Sciences, Professor, Head of Department of Economic Systems and Management of Innovation Development, E-mail: e.m.zabarna@opu.ua, ORCID: 0000-0002-2659-5909 1 Odessa National Polytechnic University, Shevchenko Avenue, 1, Odessa, 65044, Ukraine","PeriodicalId":375628,"journal":{"name":"Herald of Advanced Information Technology","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127039487","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Olena Arsirii, Diana Kotova, I. Prykhodko, Yuliia Troianovska
The paper proposes a method for recognizing architectural objects when creating augmented reality mobile applications based on building a database of specialized markers. The main method of augmented reality technology for the recognition of architectural objects was chosen the technology based on special markers. The range of pattern recognition algorithms suitable for the task is highlighted. These are algorithms based on the selection of key points of images and their descriptors. The most important aim is the stable recognition of architectural objects upon mobile applications for augmented reality-type digital guide creation based on specialized markers. The scientific basis of the research is a systematic approach in the analysis of the considered markers recognition algorithms, machine learning for the development of a database of marker images and AO recognition are used. The technique consists of the following steps: processing images of architectural objects with the aim of identifying key points, obtaining descriptions of selected control points as descriptors, creating AR-metadata that correspond to architectural objects, organizing joint storage in the local database of descriptors and their corresponding metadata, visualizing the architectural object and AR metadata. To implement the stages of processing images of architectural objects and obtain descriptors of key points, algorithms for extracting key points on images, such as SIFT, MSER, SURF, RIFF, RF, are analyzed. It is shown that these algorithms are invariant to scaling, rotation, as well as resistant to changes in light, noise and viewing angle. A comprehensive use of them for processing architectural objects with the aim of obtaining descriptors of reference points was proposed. To ensure stable recognition of AO according to the developed methodology based on machine learning for processing architectural objects with the aim of obtaining descriptors of key points, it was proposed to create an additional module using an ordered stack. The launch sequence and the number of algorithms can be changed.
{"title":"ARCHITECTURAL OBJECTS RECOGNITION TECHNIQUE IN AUGMENTED REALITY TECHNOLOGIES BASED ON CREATING A SPECIALIZED MARKERS BASE","authors":"Olena Arsirii, Diana Kotova, I. Prykhodko, Yuliia Troianovska","doi":"10.15276/HAIT.02.2019.3","DOIUrl":"https://doi.org/10.15276/HAIT.02.2019.3","url":null,"abstract":"The paper proposes a method for recognizing architectural objects when creating augmented reality mobile applications based on building a database of specialized markers. The main method of augmented reality technology for the recognition of architectural objects was chosen the technology based on special markers. The range of pattern recognition algorithms suitable for the task is highlighted. These are algorithms based on the selection of key points of images and their descriptors. The most important aim is the stable recognition of architectural objects upon mobile applications for augmented reality-type digital guide creation based on specialized markers. The scientific basis of the research is a systematic approach in the analysis of the considered markers recognition algorithms, machine learning for the development of a database of marker images and AO recognition are used. The technique consists of the following steps: processing images of architectural objects with the aim of identifying key points, obtaining descriptions of selected control points as descriptors, creating AR-metadata that correspond to architectural objects, organizing joint storage in the local database of descriptors and their corresponding metadata, visualizing the architectural object and AR metadata. To implement the stages of processing images of architectural objects and obtain descriptors of key points, algorithms for extracting key points on images, such as SIFT, MSER, SURF, RIFF, RF, are analyzed. It is shown that these algorithms are invariant to scaling, rotation, as well as resistant to changes in light, noise and viewing angle. A comprehensive use of them for processing architectural objects with the aim of obtaining descriptors of reference points was proposed. To ensure stable recognition of AO according to the developed methodology based on machine learning for processing architectural objects with the aim of obtaining descriptors of key points, it was proposed to create an additional module using an ordered stack. The launch sequence and the number of algorithms can be changed.","PeriodicalId":375628,"journal":{"name":"Herald of Advanced Information Technology","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132363559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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