Research on multi-dimensional optimisation design of user interface under Rhino/GH platform

With the rapid development of computer science and technology, there is an increasing diversity observed in the use of electronic computers. Users browse interactive content such as text, images, audio, video, etc. The increase of the interactive interface results in a slow interface response and af...

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Main Author: Wu Wei
Format: Article
Language:English
Published: Sciendo 2023-07-01
Series:Applied Mathematics and Nonlinear Sciences
Subjects:
Online Access:https://doi.org/10.2478/amns.2021.2.00228
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author Wu Wei
author_facet Wu Wei
author_sort Wu Wei
collection DOAJ
description With the rapid development of computer science and technology, there is an increasing diversity observed in the use of electronic computers. Users browse interactive content such as text, images, audio, video, etc. The increase of the interactive interface results in a slow interface response and affects the user experience. Therefore, this paper mainly studies the user interface under the multi-dimensional optimisation of the Rhino/GH platform, and introduces the long short-term memory and gated recurrent unit algorithms in the visualisation part for optimisation; the study results suggest that the overall response time is 50% but lower than the traditional interface, and the time fluctuation is within 23.7%, which is 23.6% but lower than the traditional 47.3%. When interacting with multiple interfaces, the interaction interface optimised by the Rhino/GH platform maintains a fluctuation range within 29.2%, and the time increases by 13 ms, showing excellent stability and efficiency.
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spelling doaj.art-f1343cc5805248c18bba5e11962630b72024-03-11T10:05:45ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562023-07-018233734810.2478/amns.2021.2.00228Research on multi-dimensional optimisation design of user interface under Rhino/GH platformWu Wei01School of Humanities (Dalian), LuXun Academy of Fine Arts; Shenyang, Liaoning110004, ChinaWith the rapid development of computer science and technology, there is an increasing diversity observed in the use of electronic computers. Users browse interactive content such as text, images, audio, video, etc. The increase of the interactive interface results in a slow interface response and affects the user experience. Therefore, this paper mainly studies the user interface under the multi-dimensional optimisation of the Rhino/GH platform, and introduces the long short-term memory and gated recurrent unit algorithms in the visualisation part for optimisation; the study results suggest that the overall response time is 50% but lower than the traditional interface, and the time fluctuation is within 23.7%, which is 23.6% but lower than the traditional 47.3%. When interacting with multiple interfaces, the interaction interface optimised by the Rhino/GH platform maintains a fluctuation range within 29.2%, and the time increases by 13 ms, showing excellent stability and efficiency.https://doi.org/10.2478/amns.2021.2.00228interactive interfacerhino/gh platformlstmgruperformance optimisation
spellingShingle Wu Wei
Research on multi-dimensional optimisation design of user interface under Rhino/GH platform
Applied Mathematics and Nonlinear Sciences
interactive interface
rhino/gh platform
lstm
gru
performance optimisation
title Research on multi-dimensional optimisation design of user interface under Rhino/GH platform
title_full Research on multi-dimensional optimisation design of user interface under Rhino/GH platform
title_fullStr Research on multi-dimensional optimisation design of user interface under Rhino/GH platform
title_full_unstemmed Research on multi-dimensional optimisation design of user interface under Rhino/GH platform
title_short Research on multi-dimensional optimisation design of user interface under Rhino/GH platform
title_sort research on multi dimensional optimisation design of user interface under rhino gh platform
topic interactive interface
rhino/gh platform
lstm
gru
performance optimisation
url https://doi.org/10.2478/amns.2021.2.00228
work_keys_str_mv AT wuwei researchonmultidimensionaloptimisationdesignofuserinterfaceunderrhinoghplatform