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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 38, Number 4(3) (2026)
Copyright(C) MYU K.K.
Copyright(C) MYU K.K.
|
pp. 1991-2023
S&M4420 Research paper https://doi.org/10.18494/SAM6123 Published: April 14, 2026 Radio-frequency-identification-based Specimen Transportation Device Monitoring by Support Vector Machine Method [PDF] Wen-Tung Hsu, Jing-Xiang Zhang, Chen-Hsuan Ma, and Cheng-Yu Peng (Received December 16, 2025; Accepted April 6, 2026) Keywords: specimen transportation, RFID, embedded system, support vector machine
In this study, we developed a system integration of a mobile intelligent specimen transport box to build a smart specimen reading and transmission device using an embedded system. For environmental monitoring experiments, the sending unit can set sample information and temperature requirements, while the receiving unit can display the arriving sample’s information and the temperature recorded during transport. Throughout the delivery process, the system can obtain real-time sample information and temperature data. The data algorithm of support vector machine (SVM)-based event detection is used to issue alerts during data monitoring, ensuring that temperature and humidity are properly controlled during specimen transport.
Corresponding author: Cheng-Yu Peng  This work is licensed under a Creative Commons Attribution 4.0 International License. Cite this article Wen-Tung Hsu, Jing-Xiang Zhang, Chen-Hsuan Ma, and Cheng-Yu Peng, Radio-frequency-identification-based Specimen Transportation Device Monitoring by Support Vector Machine Method, Sens. Mater., Vol. 38, No. 4, 2026, p. 1991-2023. |
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Special Issue on Signal Collection, Processing, and System Integration in Automation Applications 2026
Guest editor, Hsiung-Cheng Lin (National Chin-Yi University of Technology), Ming-Te Chen (National Chin-Yi University of Technology), and Chin-Yi Cheng (National Yunlin University of Science and Technology)
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Special Issue on Innovations in Multimodal Sensing for Intelligent Devices, Systems, and Applications (submission closed)
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- Implementation of Deep-Neural-Network–based Unmanned Aerial Vehicle Platform for Fire Smoke Response: Wildfire Smoke Description Experiments
Tae-Hwan Kim, Eun-Su Seo, and Se-Hyu Choi - Implementation of Deep-Neural-Network–based Unmanned Aerial Vehicle Platform for Fire Smoke Response: Wildfire Smoke Description Experiments
Tae-Hwan Kim, Eun-Su Seo, and Se-Hyu Choi - User-centric Real-time System for Building Disaster Alerts
Tae-Hwan Kim, Eun-Su Seo, and Se-Hyu Choi - User-centric Real-time System for Building Disaster Alerts
Tae-Hwan Kim, Eun-Su Seo, and Se-Hyu Choi
- Implementation of Deep-Neural-Network–based Unmanned Aerial Vehicle Platform for Fire Smoke Response: Wildfire Smoke Description Experiments
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- High-precision Autonomous Driving Map Quality Inspection Indicator System and Evaluation Method
Chengcheng Li, Ming Dong, Hongli Li, Xunwen Yu, Yongxuan Liu, and Chong Zhang - Surface Albedo in Different Land Cover Types in Northeast China
Tao Pan, Fu Li, Yucheng Tao, Lijuan Zhang, and Xiaoyan Jiang
- High-precision Autonomous Driving Map Quality Inspection Indicator System and Evaluation Method
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- Voltage Reflex and Equalization Charger for Series-connected Batteries
Cheng-Tao Tsai and Jia-Wei Lin
- Voltage Reflex and Equalization Charger for Series-connected Batteries
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- Design and Development of a Fuzzy-logic-based Long-range Aquaculture System
Sheng-Tao Chen and Tai-I Chou
- Design and Development of a Fuzzy-logic-based Long-range Aquaculture System
Guest editor, Jiahui Yu (Research scientist, Zhejiang University), Kairu Li (Professor, Shenyang University of Technology), Yinfeng Fang (Professor, Hangzhou Dianzi University), Chin Wei Hong (Professor, Tokyo Metropolitan University), Zhiqiang Zhang (Professor, University of Leeds)
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