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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 34, Number 10(2) (2022)
Copyright(C) MYU K.K.
Copyright(C) MYU K.K.
|
pp. 3813-3822
S&M3078 Research Paper of Special Issue https://doi.org/10.18494/SAM4094 Published: October 24, 2022 Remote Accessible PC-based Data Acquisition System [PDF] Pratikto, Muhammad Arman, Ismail Wellid, Nur Khakim, Yean-Der Kuan, and Raydha Zul Fitriani (Received May 19, 2022; Accepted October 4, 2022) Keywords: remote access, DAQ, Google Drive, IoT, Google Apps Script
PC-based data acquisition (DAQ) systems are irreplaceable in terms of capacity and flexibility for data processing. Data acquisition systems serving IoT are a recent development trend. It is necessary to develop a remotely accessible PC-based DAQ system. In this paper, we present a PC-based DAQ system that can be accessed remotely via the internet. The system consists of several sensors connected to a microcontroller. A two-sided application is developed to set up data access, namely, a local application on the DAQ PC and a web-based application in Google Drive (GD) that can interact with applications on the PC. Local data can then be sent to GD and accessed remotely from a PC. Applications on local PCs will provide a user interface (UI) for managing the data, while those on GD will provide access from the internet. The mean time delay for sending data from a PC to Google Sheets is 2.346 s with minimum and maximum values of 0.874 and 5.863 s, respectively.
Corresponding author: Yean-Der Kuan  This work is licensed under a Creative Commons Attribution 4.0 International License. Cite this article Pratikto, Muhammad Arman, Ismail Wellid, Nur Khakim, Yean-Der Kuan, and Raydha Zul Fitriani, Remote Accessible PC-based Data Acquisition System, Sens. Mater., Vol. 34, No. 10, 2022, p. 3813-3822. |
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