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Notice of retraction
Vol. 34, No. 8(3), S&M3042

Notice of retraction
Vol. 32, No. 8(2), S&M2292

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.
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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Vol. 36 No. 6(5)
Special Issue on Materials, Devices, Circuits, and Analytical Methods for Various Sensors (Selected Papers from ICSEVEN 2023) Part 3

Guest Editor: Chien-Jung Huang (National University of Kaohsiung), Mu-Chun Wang (Minghsin University of Science and Technology), Shih-Hung Lin (Chung Shan Medical University), Ja-Hao Chen (Feng Chia University)

Preface

  • Estimating depth from 2D images is vital in various applications, such as object recognition, scene reconstruction, and navigation. It offers significant advantages in augmented reality, image re ... Read More

  • Sensor networks generate large volumes of data that require robust processing, storage, and analysis capabilities provided by data centers. Software-defined networking, as a new network technique ... Read More

  • In this study, we applied 1D convolutional neural networks (1D-CNNs) to permanent magnet synchronous motor (PMSM) fault diagnosis on 12 common PMSM fault types, namely, normal motor (Class A), po ... Read More

  • Direct-current (DC) power converters play an indispensable and crucial role in various systems, particularly in today’s increasing electrification of global energy. The characteristics of DC po ... Read More

  • At present, sensors and big data create powerful systems capable of real-time monitoring and decision-making. The development of big data in all walks of life is very fast. Big data technology an ... Read More

  • A motor resistance parameter identification scheme was proposed for the speed prediction of a direct-torque-controlled (DTC) induction motor (IM) drive. The DTC IM drive was established on the ba ... Read More

  • In unmanned aerial vehicles (UAVs), an inertial measurement unit (IMU) sensor is essential for maintaining stability and navigational accuracy during flight. It becomes exceptionally crucial when ... Read More


S&M3687

Research Paper of Special Issue

S&M3687
Monocular Depth Estimation of 2D Images Based on Optimized U-net with Transfer Learning
Ming-Tsung Yeh,1 Tsung-Chi Chen, Neng-Sheng Pai, and Chi-Huan Cheng
pp. 2569-2583
https://doi.org/10.18494/SAM4822
Published on June 28, 2024
PDF (open access)

S&M3688

Research Paper of Special Issue

S&M3688
Improving the Scalability of Data Center Networking with Protocol-independent Source Routing
Shih-Pang Tseng, Yang Yu, and Chien-Min Chen
pp. 2585-2596
https://doi.org/10.18494/SAM4828
Published on June 28, 2024
PDF (open access)

S&M3689

Research Paper of Special Issue

S&M3689
Fault Diagnosis of Permanent Magnet Synchronous Motor Based on 1D-Convolutional Neural Network
Meng-Hui Wang, Fu-Chieh Chan, and Shiue-Der Lu
pp. 2597-2612
https://doi.org/10.18494/SAM4834
Published on June 28, 2024
PDF (open access)

S&M3690

Research Paper of Special Issue

S&M3690
Maximum Startup Capacitance Characteristics of High-power-density Direct-current Power Converters
Chien-Chi Chiu, Tung-Ming Liang, Ming-Tsung Yeh, and Yi-Nung Chung
pp. 2613-2627
https://doi.org/10.18494/SAM4835
Published on June 28, 2024
PDF (open access)

S&M3691

Technical Report of Special Issue

S&M3691
Analysis of Campus Catering Data Based on Machine Learning
Chien-Min Chen, Chen-Sheng Li, and Shih-Pang Tseng
pp. 2629-2641
https://doi.org/10.18494/SAM4836
Published on June 28, 2024
PDF (open access)

S&M3692

Research Paper of Special Issue

S&M3692
Speed Prediction Direct-torque-controlled Induction Motor Drive Based on Motor Resistance Parameter Identification
Yung-Chang Luo, Jian-Chien Tsai, Hao-You Huang, and Wen-Cheng Pu
pp. 2643-2654
https://doi.org/10.18494/SAM4838
Published on June 28, 2024
PDF (open access)

S&M3693

Research Paper of Special Issue

S&M3693
Enhancing Reliability of Inertial Measurement Unit Sensors in Quadrotor Drones
Yau-Ren Shiau and Wei-Cheng Chang
pp. 2655-2668
https://doi.org/10.18494/SAM5005
Published on June 28, 2024
PDF (open access)

Cover of this Issue





Forthcoming Regular Issues


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Special Issue on Applications of Novel Sensors and Related Technologies for Internet of Things
Guest editor, Teen-Hang Meen (National Formosa University), Wenbing Zhao (Cleveland State University), and Cheng-Fu Yang (National University of Kaohsiung)
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Special Issue on Advanced Sensing Technologies for Green Energy
Guest editor, Yong Zhu (Griffith University)
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Special Issue on International Conference on Biosensors, Bioelectronics, Biomedical Devices, BioMEMS/NEMS and Applications 2023 (Bio4Apps 2023)
Guest editor, Dzung Viet Dao (Griffith University) and Cong Thanh Nguyen (Griffith University)
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