Research of data visualization in industrial product design

Bin Song, Siti Mastura Ishak
{"title":"Research of data visualization in industrial product design","authors":"Bin Song, Siti Mastura Ishak","doi":"10.1109/ICIDDT52279.2020.00027","DOIUrl":null,"url":null,"abstract":"In the background of data era, graphics language meets more opportunities and challenges, so it is of great significance to transform data into graphics language. This paper mainly designs a set of 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 this system can provide users with the most suitable types of tags, and save users more time and energy. Data visualization has different experiences for different users, so it is a very important challenge to let users feel that data perspective is effective as much as possible. At present, machine learning is a developing field. It is a very good research direction to combine the two. It can not only promote the development of big data field, but also bring more wealth to the society.","PeriodicalId":6781,"journal":{"name":"2020 International Conference on Innovation Design and Digital Technology (ICIDDT)","volume":"6 1","pages":"102-106"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Innovation Design and Digital Technology (ICIDDT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIDDT52279.2020.00027","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In the background of data era, graphics language meets more opportunities and challenges, so it is of great significance to transform data into graphics language. This paper mainly designs a set of 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 this system can provide users with the most suitable types of tags, and save users more time and energy. Data visualization has different experiences for different users, so it is a very important challenge to let users feel that data perspective is effective as much as possible. At present, machine learning is a developing field. It is a very good research direction to combine the two. It can not only promote the development of big data field, but also bring more wealth to the society.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
工业产品设计中的数据可视化研究
在数据时代的背景下,图形语言面临着更多的机遇和挑战,因此将数据转换为图形语言具有重要的意义。本文主要设计了一套基于数据的智能系统。通过对多维数据可视化的研究,首先对高维数据进行降维处理,从而得到低维数据,然后将低维数据转换为更直观的图形标记类型,使用户能够更直观地理解高维数据。研究结果表明,该系统可以为用户提供最适合的标签类型,为用户节省更多的时间和精力。数据可视化对于不同的用户有着不同的体验,因此让用户尽可能感受到数据透视的有效性是一个非常重要的挑战。目前,机器学习是一个发展中的领域。将两者结合起来是一个很好的研究方向。它不仅可以促进大数据领域的发展,还可以为社会带来更多的财富。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A Study on Evaluation Model of VR Shopping Experience based on User-Centered Approach Research on Experiential Design of RV Interior Using HoloLens2 The design of rescue robot based on disaster rescue Design and Innovation of Marine Culture Breakfast Machine : Based on emotional design Research on Design and Innovation based on network platform and Digital Technology
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1