Journals Information
Computer Science and Information Technology Vol. 11(1), pp. 1 - 10
DOI: 10.13189/csit.2023.110101
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Tools for Implementing the Models and Algorithms for Processing Multimodal Data
Nataliya Boyko *
Department of Artificial Intelligence, Lviv Polytechnic National University, Lviv, 79013, Ukraine
ABSTRACT
The article discusses technologies and technical means that provide a human-oriented approach to software development, a better adaptation of human-machine interfaces to user needs, improved ergonomics of software products, etc. Measures are analyzed that contribute to the formation of fundamentally new opportunities for presenting and processing information about real-world objects with which a person interacts in production, educational and everyday activities in computer systems. The article is relevant in identifying modern models and algorithms for processing multimodal data in computer systems based on a survey of company employees and analysis of these models and algorithms to determine the advantages of using models and algorithms for processing multimodal data. Research methods are considered: comparative analysis; systematization; generalization; poll. An overview of multimodal data presentation models (muxel model, spatio-temporal connected model and multi-level ontological model) is offered, which allows for presentation of a digital double of the object under study. The means of combining to obtain the most informative way of describing a physical twin are considered. The results of the survey are studied, which noted: "general judgment about the experience of using models and algorithms of multimodal data processing", where respondents indicated in the item" Personally, I would say that models and algorithms of multimodal data processing are practical" with an average value of 8.16 (SD = 0 1.70); in the item "I would say that the models and algorithms of multimodal data processing are clear (not confusing)" with an average value of 7.52. Respondents (more than 5.0 points) were determined to positively evaluate models and algorithms for processing multimodal data in work environments as practical, understandable, manageable and original.
KEYWORDS
Big Data, Model, Algorithm, Process, Modality, Muxel Model, the Spatio-Temporal Linked Model, the Multilevel Ontological Model
Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Nataliya Boyko , "Tools for Implementing the Models and Algorithms for Processing Multimodal Data," Computer Science and Information Technology, Vol. 11, No. 1, pp. 1 - 10, 2023. DOI: 10.13189/csit.2023.110101.
(b). APA Format:
Nataliya Boyko (2023). Tools for Implementing the Models and Algorithms for Processing Multimodal Data. Computer Science and Information Technology, 11(1), 1 - 10. DOI: 10.13189/csit.2023.110101.