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Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
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Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
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MYU K.K.
Sensors and Materials
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is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
Instructions to authors
English 日本語
Instructions for manuscript preparation
English 日本語
Template
English
Publisher
MYU K.K.
Sensors and Materials
1-23-3-303 Sendagi,
Bunkyo-ku, Tokyo 113-0022, Japan
Tel: 81-3-3827-8549
Fax: 81-3-3827-8547
MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.
MYU Research
(proofreading and recording)
MYU K.K.
(translation service)
The Art of Writing Scientific Papers
(How to write scientific papers)
(Japanese Only)
Sensors and Materials, Volume 31, Number 10(3) (2019)
Copyright(C) MYU K.K.
Copyright(C) MYU K.K.
|
pp. 3355-3366
S&M2016 Research Paper of Special Issue https://doi.org/10.18494/SAM.2019.2491 Published: October 31, 2019 Algorithm for Removing Duplicate Vertices from 3D Spatial Objects to Improve Service Efficiency [PDF] Jihun Kang, Sewon Lee, and Jihhyeok Park (Received June 19, 2019; Accepted September 4, 2019) Keywords: duplicate vertex, 3D spatial object, service efficiency, 3DS, SPOTool
The demand for highly detailed 3D spatial data is continuously increasing with the development of information technology. However, these 3D spatial data have a large capacity, which is a major cause of service degradation. To solve this problem, an algorithm for reducing the 3D data size by removing duplicate vertices, which contain information that is not used for 3D building object visualization, was proposed. Furthermore, prototype software was developed to verify this algorithm. The results of duplicate point elimination were similar to or slightly better than the features of professional 3D graphics software. The proposed technology is expected to be useful because it reduces the data capacity while maintaining the quality of 3D spatial information data.
Corresponding author: Jihun Kang  This work is licensed under a Creative Commons Attribution 4.0 International License. Cite this article Jihun Kang, Sewon Lee, and Jihhyeok Park, Algorithm for Removing Duplicate Vertices from 3D Spatial Objects to Improve Service Efficiency, Sens. Mater., Vol. 31, No. 10, 2019, p. 3355-3366. |
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- A Prototype Portable Voltammetric Sensor for Determining Titratable Acidity of Sake and Moromi
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