Ivan Kit

@wunu.edu.ua

Department of Information Computer Systems And Control
West Ukrainian National University

Ivan Kit


               Download Compact PDF  
https://researchid.co/kitivan

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Science, Artificial Intelligence
17

Scopus Publications

159

Scholar Citations

6

Scholar h-index

4

Scholar i10-index

Scopus Publications

  • The use of augmented reality for renovation of cultural heritage sites
    Anatoliy О. Sachenko, Ivan R. Kit
    Herald of Advanced Information Technology, 2024
    Augmented reality is an innovative technology that merges the virtual and real worlds to create a unique interactive experience for users. Although the technology only became widely known in the mid-2000s, its potential and applications continue to evolve rapidly, especially with the advent of smartphones and other mobile devices that allow a wide range of users to interact with augmented reality in their everyday lives. In the field of cultural heritage and tourism, augmented reality opens up new opportunities for the restoration and presentation of historical buildings and places that no longer exist or have been altered by time, giving visitors the opportunity to see and experience the historical environment in its original form. However, to effectively use augmented reality in this area, it is necessary to ensure an exact correspondence between virtual objects and the real environment, as well as to implement navigation functions that will help users easily navigate the virtually restored space. Developing and implementing a ugmented reality solutions requires not only technological expertise but also a deep understanding of the historical, cultural and social cont ext of the objects being recreated. Based on our research, we have developed a concept of an augmented reality application for the reconstruction and promotion of cultural heritage. This includes methods for accurately recreating historical locations and objects in a virtual environment, as well as developing intuitive navigation tools for users. The main achievement of the work is the creation of a foundation for the further development of augmented reality technologies in this area, with a focus on improving the interact ion between virtual and real components, which will help increase audience engagement and raise awareness of historical and cultural heritage. This opens up broad prospects for the use of augmented reality for cultural heritage, and the proposed approaches c an serve as a basis for future innovative projects in this area.
  • Intelligent Method for Classifying the Level of Anthropogenic Disasters
    Khrystyna Lipianina-Honcharenko, Carsten Wolff, Anatoliy Sachenko, Ivan Kit, Diana Zahorodnia
    Big Data and Cognitive Computing, 2023
    Anthropogenic disasters pose a challenge to management in the modern world. At the same time, it is important to have accurate and timely information to assess the level of danger and take appropriate measures to eliminate disasters. Therefore, the purpose of the paper is to develop an effective method for assessing the level of anthropogenic disasters based on information from witnesses to the event. For this purpose, a conceptual model for assessing the consequences of anthropogenic disasters is proposed, the main components of which are the following ones: the analysis of collected data, modeling and assessment of their consequences. The main characteristics of the intelligent method for classifying the level of anthropogenic disasters are considered, in particular, exploratory data analysis using the EDA method, classification based on textual data using SMOTE, and data classification by the ensemble method of machine learning using boosting. The experimental results confirmed that for textual data, the best classification is at level V and level I with an error of 0.97 and 0.94, respectively, and the average error estimate is 0.68. For quantitative data, the classification accuracy of Potential Accident Level relative to Industry Sector is 77%, and the f1-score is 0.88, which indicates a fairly high accuracy of the model. The architecture of a mobile application for classifying the level of anthropogenic disasters has been developed, which reduces the time required to assess consequences of danger in the region. In addition, the proposed approach ensures interaction with dynamic and uncertain environments, which makes it an effective tool for classifying.
  • Intelligent Information System for Product Promotion in Internet Market
    Khrystyna Lipianina-Honcharenko, Carsten Wolff, Anatoliy Sachenko, Oksana Desyatnyuk, Svitlana Sachenko, et al.
    Applied Sciences Switzerland, 2023
    The influence of Internet marketing has grown so much that producers must now reconfigure their businesses from offline operation to online presence simply to meet user expectations. Thus, the development of an intelligent information system for product promotion online is quite relevant. It may lead to automatized selection of competing products and advertising content, a subsequent increase in the effectiveness of advertisements, and a decrease in costs for Internet ad placements. The paper presents the approach for creating an intelligent information system for product promotion in online spaces that makes it possible to reduce advertising costs. A methodology is based on outcomes of own previous studies as well as the flow nature and semantics of data streams. The framework of the proposed intelligent system includes the four key procedures and functions: intelligent formation of keywords for advertising content based on feedback, intelligent formation of product catalogs of online stores, generation of advertising content, and generation of improved advertising content and its targeting generation of text based on keywords. An experimental study confirmed that the effectiveness of posts on social media increased by at least 125%, while the price decreased by 87%.
  • Optimization Method of Advertising Texts Based on Generative Models
    Ceur Workshop Proceedings, 2023
  • Use of Digital Auralised 3D Models of Cultural Heritage Sites for Long-term Preservation
    Sophie Schauer, Jürgen Sieck, Khrystyna Lipianina-Honcharenko, Anatoliy Sachenko, Ivan Kit
    Proceedings of the IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems Technology and Applications Idaacs, 2023
    This paper explores how digital auralised 3D models of cultural heritage sites can be used for long-term preservation. An overview of current digitalisation and auralisation techniques will be given, focusing on the results of a project where three music venues were digitalised through laser-scanning surveys, auralised and made available to visitors as a virtual reality application. Furthermore, case studies which had been conducted during the project will be evaluated, and the importance of preservation uses highlighted. The paper finishes with a conclusion and a future outlook.
  • An Intelligent Method of Prediction the Demand for Goods/Services in Crisis Conditions
    Ceur Workshop Proceedings, 2023
  • AR Intelligent Real-time Method for Cultural Heritage Object Recognition
    Oleh Pisnyi, Ivan Kit, Khrystyna Lipianina-Honcharenko, Jürgen Sieck, Anatoliy Sachenko, et al.
    5th IEEE International Conference on Advanced Information and Communication Technologies Aict 2023 Proceedings, 2023
    In a world of rapid technological changes and growing interest in cultural heritage, the development of innovative tools for travelers and history enthusiasts becomes incredibly important. Even in the digital age, interactive ways of exploring historical landmarks remain relevant and attractive. In this research, an AR Intelligent Real-time Method for Cultural Heritage Object Recognition has been developed. The method is implemented through a chatbot, which, when using a smartphone's camera, recognizes objects of cultural heritage and provides descriptions of these objects. The chatbot opens up new possibilities for travelers, allowing them to enjoy history and cultural heritage using intelligent tools and augmented reality.
  • Neural Network Method of Items Catalog Forming for Online Store
    Ivan Kit, Hrystyna Lipyanina-Goncharenko, Taras Lendyuk, Anatoliy Sachenko, Myroslav Komar
    Lecture Notes on Data Engineering and Communications Technologies, 2022
  • Concept of the Intelligent Guide with AR Support
    Khrystyna Lipianina-Honcharenko, Ruslan Savchyshyn, Anatoliy Sachenko, Anastasiia Chaban, Ivan Kit, et al.
    International Journal of Computing, 2022
    In order to save time and money for tourists, as well as taking into account their limited mobility in the conditions of Covid, the concept of an intelligent guide based on augmented reality (AR) is proposed. A UML method diagram and algorithm for communication of the system with the user with AR and voice control support have been developed, as well as an application that allows tourists to immerse themselves in the historical retrospective of recreational places. On the example of the central part (downtown) of Ternopil, Ukraine, AR locations are offered, which gives an opportunity to get acquainted in more detail with the information about the tourist object. At the same time, the shortest tourist route is illuminated of historical monuments.
  • IoT Based Modular Grow Box System Using the AR
    Viktor Turchenko, Ivan Kit, Oleksandr Osolinskyi, Diana Zahorodnia, Pavlo Bykovyy, et al.
    2020 IEEE International Conference on Problems of Infocommunications Science and Technology Pic S and T 2020 Proceedings, 2021
    nowadays, living space, food and water for the rapidly growing urban population are not used quite sparingly, which makes them extremely vulnerable resources. Therefore, the trend has emerged where people in urban areas choose to have a small garden (for example, a balcony garden), and want to grow healthy and environmentally friendly food. To achieve this, a compact plant growing system "Grow Box" is needed, which gives an optimal use of space and can provide an automated plant growing process. The authors proposed the concept of IoT based smart system using the augmented reality for growing plants in the city. System implementation has a modular structure and can act as an experimental site or a full-fledged tool with some changes for greenhouses.
  • Business process management of virtual enterprise based on augmented reality
    Ceur Workshop Proceedings, 2021
  • Assessing the investment risk of virtual it company based on machine learning
    Hrystyna Lipyanina, Valeriya Maksymovych, Anatoliy Sachenko, Taras Lendyuk, Andrii Fomenko, et al.
    Communications in Computer and Information Science, 2020
  • Analysis of Objects Classification Approaches Using Vectors of Inflection Points
    Diana Zahorodnia, Pavlo Bykovyy, Anatoliy Sachenko, Viktor Krylov, Galina Shcherbakova, et al.
    Advances in Intelligent Systems and Computing, 2020
  • Improved canny's method for laser scribes contour selection in solar cells
    Ceur Workshop Proceedings, 2020
  • Computer tools for cargo thefts fighting on railway transport
    Ivan Kit, Andrii Fomenko, Volodymyr Vyshnia, Iryna Novosad
    Proceedings of the 2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems Technology and Applications Idaacs 2019, 2019
  • Image Recognition Methods Based on Hemming Distance
    Andrij Sydor, Diana Zahorodnia, Pavlo Bykovyy, Ivan Kit, Vasyl Koval, et al.
    Proceedings of the 2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems Technology and Applications Idaacs 2019, 2019
  • Information technologies based on wavelet transform for soldered joints diagnostic of printed circuit boards
    Ceur Workshop Proceedings, 2019

RECENT SCHOLAR PUBLICATIONS

  • The use of augmented reality for renovation of cultural heritage sites
    AО Sachenko, IR Kit
    Herald of Advanced Information Technology 7 (1), 24-35 , 2024
    2024
    Citations: 6
  • AR Intelligent Real-time Method for Cultural Heritage Object Recognition
    O Pisnyi, I Kit, K Lipianina-Honcharenko, J Sieck, A Sachenko, ...
    2023 IEEE 5th International Conference on Advanced Information and … , 2023
    2023
    Citations: 3
  • Intelligent method for classifying the level of anthropogenic disasters
    K Lipianina-Honcharenko, C Wolff, A Sachenko, I Kit, D Zahorodnia
    Big data and cognitive computing 7 (3), 157 , 2023
    2023
    Citations: 11
  • Use of digital auralised 3D models of cultural heritage sites for long-term preservation
    S Schauer, J Sieck, K Lipianina-Honcharenko, A Sachenko, I Kit
    2023 IEEE 12th International Conference on Intelligent Data Acquisition and … , 2023
    2023
    Citations: 8
  • Intelligent information system for product promotion in internet market
    K Lipianina-Honcharenko, C Wolff, A Sachenko, O Desyatnyuk, ...
    Applied sciences 13 (17), 9585 , 2023
    2023
    Citations: 17
  • Concept of information system for cultural heritage sites renovation using augmented reality
    K Lipianina-Honcharenko, S Schauer, J Sieck, A Sachenko, I Kit
    Computer systems and information technologies, 64-68 , 2023
    2023
    Citations: 5
  • An Intelligent Method of Prediction the Demand for Goods/Services in Crisis Conditions
    LH Khrystyna, B Yevgeniy, A Sachenko, I Kit, T Podchasova, T Lendiuk
    CEUR Workshop Proceedings 3641 , 2023
    2023
  • Intelligent Method for Classifying the Level of Anthropogenic Disasters
    LH Khrystyna, C Wolff, A Sachenko, I Kit, D Zahorodnia
    Big Data and Cognitive Computing 7 (3) , 2023
    2023
  • An Intelligent Method of Prediction the Demand for Goods/Services in Crisis Conditions.
    K Lipianina-Honcharenko, YV Bodyanskiy, A Sachenko, I Kit, ...
    ProfIT AI, 224-232 , 2023
    2023
  • Optimization Method of Advertising Texts Based on Generative Models.
    K Lipianina-Honcharenko, I Kit, D Zahorodnia, O Osolinskyi
    ITTAP, 126-135 , 2023
    2023
    Citations: 1
  • Intelligent Information System for Product Promotion in Internet Market
    LH Khrystyna, C Wolff, A Sachenko, O Desyatnyuk, S Sachenko, I Kit
    Applied Sciences-Basel 13 (17) , 2023
    2023
  • Concept of the Intelligent Guide with AR Support.
    K Lipianina-Honcharenko, R Savchyshyn, A Sachenko, A Chaban, I Kit, ...
    Int. J. Comput. 21 (2), 271-277 , 2022
    2022
    Citations: 34
  • Neural Network Method of Items Catalog Forming for Online Store
    I Kit, H Lipyanina-Goncharenko, T Lendyuk, A Sachenko, M Komar
    The International Conference on Artificial Intelligence and Logistics … , 2022
    2022
    Citations: 2
  • Business Process Management of Virtual Enterprise based on Augmented Reality.
    O Dulishkovych, H Lipyanina, O Sachenko, T Lendyuk, O Osolinskiy, I Kit
    ITPM, 422-431 , 2021
    2021
    Citations: 6
  • IoT based modular grow box system using the AR
    V Turchenko, I Kit, O Osolinskyi, D Zahorodnia, P Bykovyy, A Sachenko
    2020 IEEE International Conference on Problems of Infocommunications … , 2020
    2020
    Citations: 8
  • Assessing the investment risk of virtual IT company based on machine learning
    H Lipyanina, V Maksymovych, A Sachenko, T Lendyuk, A Fomenko, I Kit
    International Conference on Data Stream Mining and Processing, 167-187 , 2020
    2020
    Citations: 43
  • Improved canny's method for laser scribes contour selection in solar cells
    I Kit, D Zahorodnia, H Lipyanina, V Dorosh, P Bykovyy, V Kochan, ...
    CEUR Workshop Proceedings, 395-405 , 2020
    2020
    Citations: 1
  • Computer tools for cargo thefts fighting on railway transport
    I Kit, A Fomenko, V Vyshnia, I Novosad
    2019 10th IEEE International Conference on Intelligent Data Acquisition and … , 2019
    2019
    Citations: 4
  • Image Recognition Methods Based on Hemming Distance
    A Sydor, D Zahorodnia, P Bykovyy, I Kit, V Koval, K Grzeszczyk
    2019 10th IEEE International Conference on Intelligent Data Acquisition and … , 2019
    2019
    Citations: 4
  • Analysis of Objects Classification Approaches Using Vectors of Inflection
    V Krylov, G Shcherbakova, I Kit, A Kaniovskyi¹
    Lecture Notes in Computational Intelligence and Decision Making: Proceedings … , 2019
    2019

MOST CITED SCHOLAR PUBLICATIONS

  • Assessing the investment risk of virtual IT company based on machine learning
    H Lipyanina, V Maksymovych, A Sachenko, T Lendyuk, A Fomenko, I Kit
    International Conference on Data Stream Mining and Processing, 167-187 , 2020
    2020
    Citations: 43
  • Concept of the Intelligent Guide with AR Support.
    K Lipianina-Honcharenko, R Savchyshyn, A Sachenko, A Chaban, I Kit, ...
    Int. J. Comput. 21 (2), 271-277 , 2022
    2022
    Citations: 34
  • Intelligent information system for product promotion in internet market
    K Lipianina-Honcharenko, C Wolff, A Sachenko, O Desyatnyuk, ...
    Applied sciences 13 (17), 9585 , 2023
    2023
    Citations: 17
  • Intelligent method for classifying the level of anthropogenic disasters
    K Lipianina-Honcharenko, C Wolff, A Sachenko, I Kit, D Zahorodnia
    Big data and cognitive computing 7 (3), 157 , 2023
    2023
    Citations: 11
  • Use of digital auralised 3D models of cultural heritage sites for long-term preservation
    S Schauer, J Sieck, K Lipianina-Honcharenko, A Sachenko, I Kit
    2023 IEEE 12th International Conference on Intelligent Data Acquisition and … , 2023
    2023
    Citations: 8
  • IoT based modular grow box system using the AR
    V Turchenko, I Kit, O Osolinskyi, D Zahorodnia, P Bykovyy, A Sachenko
    2020 IEEE International Conference on Problems of Infocommunications … , 2020
    2020
    Citations: 8
  • The use of augmented reality for renovation of cultural heritage sites
    AО Sachenko, IR Kit
    Herald of Advanced Information Technology 7 (1), 24-35 , 2024
    2024
    Citations: 6
  • Business Process Management of Virtual Enterprise based on Augmented Reality.
    O Dulishkovych, H Lipyanina, O Sachenko, T Lendyuk, O Osolinskiy, I Kit
    ITPM, 422-431 , 2021
    2021
    Citations: 6
  • Concept of information system for cultural heritage sites renovation using augmented reality
    K Lipianina-Honcharenko, S Schauer, J Sieck, A Sachenko, I Kit
    Computer systems and information technologies, 64-68 , 2023
    2023
    Citations: 5
  • Computer tools for cargo thefts fighting on railway transport
    I Kit, A Fomenko, V Vyshnia, I Novosad
    2019 10th IEEE International Conference on Intelligent Data Acquisition and … , 2019
    2019
    Citations: 4
  • Image Recognition Methods Based on Hemming Distance
    A Sydor, D Zahorodnia, P Bykovyy, I Kit, V Koval, K Grzeszczyk
    2019 10th IEEE International Conference on Intelligent Data Acquisition and … , 2019
    2019
    Citations: 4
  • Analysis of objects classification approaches using vectors of inflection points
    D Zahorodnia, P Bykovyy, A Sachenko, V Krylov, G Shcherbakova, I Kit, ...
    International Scientific Conference “Intellectual Systems of Decision Making … , 2019
    2019
    Citations: 4
  • AR Intelligent Real-time Method for Cultural Heritage Object Recognition
    O Pisnyi, I Kit, K Lipianina-Honcharenko, J Sieck, A Sachenko, ...
    2023 IEEE 5th International Conference on Advanced Information and … , 2023
    2023
    Citations: 3
  • Neural Network Method of Items Catalog Forming for Online Store
    I Kit, H Lipyanina-Goncharenko, T Lendyuk, A Sachenko, M Komar
    The International Conference on Artificial Intelligence and Logistics … , 2022
    2022
    Citations: 2
  • Information technologies based on wavelet transform for soldered joints diagnostic of printed circuit boards
    G Shcherbakova, V Krylov, A Sachenko, P Bykovyy, D Zahorodnia, ...
    CEUR Workshop Proceedings, 1030-1041 , 2019
    2019
    Citations: 2
  • Optimization Method of Advertising Texts Based on Generative Models.
    K Lipianina-Honcharenko, I Kit, D Zahorodnia, O Osolinskyi
    ITTAP, 126-135 , 2023
    2023
    Citations: 1
  • Improved canny's method for laser scribes contour selection in solar cells
    I Kit, D Zahorodnia, H Lipyanina, V Dorosh, P Bykovyy, V Kochan, ...
    CEUR Workshop Proceedings, 395-405 , 2020
    2020
    Citations: 1
  • An Intelligent Method of Prediction the Demand for Goods/Services in Crisis Conditions
    LH Khrystyna, B Yevgeniy, A Sachenko, I Kit, T Podchasova, T Lendiuk
    CEUR Workshop Proceedings 3641 , 2023
    2023
  • Intelligent Method for Classifying the Level of Anthropogenic Disasters
    LH Khrystyna, C Wolff, A Sachenko, I Kit, D Zahorodnia
    Big Data and Cognitive Computing 7 (3) , 2023
    2023
  • An Intelligent Method of Prediction the Demand for Goods/Services in Crisis Conditions.
    K Lipianina-Honcharenko, YV Bodyanskiy, A Sachenko, I Kit, ...
    ProfIT AI, 224-232 , 2023
    2023