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Analysis of Graphic Language Expression in Visual Communication Design

With the continuous development of society, only relying on words can no longer satisfy the mutual communication between people and countries. In the background of the data era, graphics language also meets more opportunities and challenges, so it is of great significance to transform data into the...

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Detalles Bibliográficos
Autores principales: Xu, Haixia, Shi, LiLi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9481331/
https://www.ncbi.nlm.nih.gov/pubmed/36120692
http://dx.doi.org/10.1155/2022/2434992
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author Xu, Haixia
Shi, LiLi
author_facet Xu, Haixia
Shi, LiLi
author_sort Xu, Haixia
collection PubMed
description With the continuous development of society, only relying on words can no longer satisfy the mutual communication between people and countries. In the background of the data era, graphics language also meets more opportunities and challenges, so it is of great significance to transform data into the graphics language. This paper mainly designs a set of a data-based intelligent system. Through the research of multi-dimensional data visualization, firstly, the high-dimensional data is processed to reduce the dimension, so as to get the lower dimensional data, and then the low-dimensional data is transformed into a more intuitive type of graphic markers, so that users can understand the high-dimensional data more intuitively. The research results show that the system can provide users with the most appropriate label type and save users more time and energy. Data visualization has different experiences for different users, so it is a very important challenge to make users feel that pivoting is as effective as possible.
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spelling pubmed-94813312022-09-17 Analysis of Graphic Language Expression in Visual Communication Design Xu, Haixia Shi, LiLi Comput Intell Neurosci Research Article With the continuous development of society, only relying on words can no longer satisfy the mutual communication between people and countries. In the background of the data era, graphics language also meets more opportunities and challenges, so it is of great significance to transform data into the graphics language. This paper mainly designs a set of a data-based intelligent system. Through the research of multi-dimensional data visualization, firstly, the high-dimensional data is processed to reduce the dimension, so as to get the lower dimensional data, and then the low-dimensional data is transformed into a more intuitive type of graphic markers, so that users can understand the high-dimensional data more intuitively. The research results show that the system can provide users with the most appropriate label type and save users more time and energy. Data visualization has different experiences for different users, so it is a very important challenge to make users feel that pivoting is as effective as possible. Hindawi 2022-09-09 /pmc/articles/PMC9481331/ /pubmed/36120692 http://dx.doi.org/10.1155/2022/2434992 Text en Copyright © 2022 Haixia Xu and LiLi Shi. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Xu, Haixia
Shi, LiLi
Analysis of Graphic Language Expression in Visual Communication Design
title Analysis of Graphic Language Expression in Visual Communication Design
title_full Analysis of Graphic Language Expression in Visual Communication Design
title_fullStr Analysis of Graphic Language Expression in Visual Communication Design
title_full_unstemmed Analysis of Graphic Language Expression in Visual Communication Design
title_short Analysis of Graphic Language Expression in Visual Communication Design
title_sort analysis of graphic language expression in visual communication design
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9481331/
https://www.ncbi.nlm.nih.gov/pubmed/36120692
http://dx.doi.org/10.1155/2022/2434992
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