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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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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. 3229-3244
S&M2007 Research Paper of Special Issue https://doi.org/10.18494/SAM.2019.2365 Published in advance: June 7, 2019 Published: October 31, 2019 Dynamic Mashup Performance Comparison Using Open Application Programming Interface of Geoweb Map Platforms Available in Korea [PDF] Min-Soo Kim and In-Sung Jang (Received March 6, 2019; Accepted April 30, 2019) Keywords: mashup, Open API, map platform, geoweb, tile map
Recently, users have been more interested in the development of a dynamic mashup application that integrates and renders large amounts of real-time sensor data and geospatial data. However, such a dynamic mashup application has caused performance issues in large amounts of real-time sensor data integration and time series rendering. In this study, we compare and analyze the dynamic mashup performance characteristics of various types of map platform. For accurate performance comparison, we define performance comparison metrics of data loading time, mashup time, and user interaction time. We also implement a mashup prototype system composed of a Geoweb client, a sensor data server, and several map platforms in order to efficiently perform various experiments. The experimental results show the mashup performance characteristics of Google Maps, OpenStreetMap (OSM), VWorld, olleh Map, Daum Map, and Naver Map. Finally, we present which map platforms have good and stable performance in the dynamic mashup of large amounts of sensor data.
Corresponding author: Min-Soo Kim  This work is licensed under a Creative Commons Attribution 4.0 International License. Cite this article Min-Soo Kim and In-Sung Jang, Dynamic Mashup Performance Comparison Using Open Application Programming Interface of Geoweb Map Platforms Available in Korea, Sens. Mater., Vol. 31, No. 10, 2019, p. 3229-3244. |
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- A Prototype Portable Voltammetric Sensor for Determining Titratable Acidity of Sake and Moromi
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