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Sensors, Volume 19, Issue 1

January-1 2019 - 217 articles

Cover Story: An electrical penetration assembly (EPA), which provides a pressure barrier for the containment structure in nuclear power plants, is a mismatch metal-to-glass sealing structure. An important factor for maintaining hermeticity of electrical penetration assembly is the residual stress in the sealing glass, which is generated during the EPA sealing process. A novel method to investigate and optimize the sealing process of EPA, based on a fiber Bragg grating (FBG) sensor, is proposed in this paper. The temperature change during the heating process was measured by Bragg wavelength shift. After the sealing glass solidified and bonded well with FBG, the residual stress was determined and obtained by the sensor. Based on temperature and residual stress measurements, the FBG was found to be feasible for application in the manufacturing process of equipment used in nuclear power plants. View this paper.
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Articles (217)

  • Article
  • Open Access
11 Citations
5,657 Views
19 Pages

8 January 2019

Charging schemes utilizing mobile wireless chargers can be applied to prolong the lifespan of a wireless sensor network. In considering charging schemes with mobile chargers, most current studies focus on charging each sensor from a single position,...

  • Article
  • Open Access
174 Citations
11,152 Views
15 Pages

Wireless Sensor Networks Intrusion Detection Based on SMOTE and the Random Forest Algorithm

  • Xiaopeng Tan,
  • Shaojing Su,
  • Zhiping Huang,
  • Xiaojun Guo,
  • Zhen Zuo,
  • Xiaoyong Sun and
  • Longqing Li

8 January 2019

With the wide application of wireless sensor networks in military and environmental monitoring, security issues have become increasingly prominent. Data exchanged over wireless sensor networks is vulnerable to malicious attacks due to the lack of phy...

  • Article
  • Open Access
69 Citations
7,683 Views
13 Pages

Deep Belief Network for Spectral–Spatial Classification of Hyperspectral Remote Sensor Data

  • Chenming Li,
  • Yongchang Wang,
  • Xiaoke Zhang,
  • Hongmin Gao,
  • Yao Yang and
  • Jiawei Wang

8 January 2019

With the development of high-resolution optical sensors, the classification of ground objects combined with multivariate optical sensors is a hot topic at present. Deep learning methods, such as convolutional neural networks, are applied to feature e...

  • Article
  • Open Access
23 Citations
5,669 Views
10 Pages

8 January 2019

A highly sensitive directional bending sensor based on a three-core fiber (TCF) Mach-Zehnder interferometer (MZI) is presented in this study. This MZI-based bending sensor was fabricated by fusion-splicing a section of TCF between two single-mode fib...

  • Article
  • Open Access
18 Citations
6,453 Views
21 Pages

A Multiscale Denoising Framework Using Detection Theory with Application to Images from CMOS/CCD Sensors

  • Khuram Naveed,
  • Shoaib Ehsan,
  • Klaus D. McDonald-Maier and
  • Naveed Ur Rehman

8 January 2019

Output from imaging sensors based on CMOS and CCD devices is prone to noise due to inherent electronic fluctuations and low photon count. The resulting noise in the acquired image could be effectively modelled as signal-dependent Poisson noise or as...

  • Article
  • Open Access
14 Citations
5,698 Views
14 Pages

Low-Dose Computed Tomography Image Super-Resolution Reconstruction via Random Forests

  • Peijian Gu,
  • Changhui Jiang,
  • Min Ji,
  • Qiyang Zhang,
  • Yongshuai Ge,
  • Dong Liang,
  • Xin Liu,
  • Yongfeng Yang,
  • Hairong Zheng and
  • Zhanli Hu

8 January 2019

Aiming at reducing computed tomography (CT) scan radiation while ensuring CT image quality, a new low-dose CT super-resolution reconstruction method based on combining a random forest with coupled dictionary learning is proposed. The random forest cl...

  • Article
  • Open Access
50 Citations
17,957 Views
27 Pages

A Tangible Solution for Hand Motion Tracking in Clinical Applications

  • Christina Salchow-Hömmen,
  • Leonie Callies,
  • Daniel Laidig,
  • Markus Valtin,
  • Thomas Schauer and
  • Thomas Seel

8 January 2019

Objective real-time assessment of hand motion is crucial in many clinical applications including technically-assisted physical rehabilitation of the upper extremity. We propose an inertial-sensor-based hand motion tracking system and a set of dual-qu...

  • Article
  • Open Access
104 Citations
17,155 Views
20 Pages

City Scale Particulate Matter Monitoring Using LoRaWAN Based Air Quality IoT Devices

  • Steven J. Johnston,
  • Philip J. Basford,
  • Florentin M. J. Bulot,
  • Mihaela Apetroaie-Cristea,
  • Natasha H. C. Easton,
  • Charlie Davenport,
  • Gavin L. Foster,
  • Matthew Loxham,
  • Andrew K. R. Morris and
  • Simon J. Cox

8 January 2019

Air Quality (AQ) is a very topical issue for many cities and has a direct impact on citizen health. The AQ of a large UK city is being investigated using low-cost Particulate Matter (PM) sensors, and the results obtained by these sensors have been co...

  • Article
  • Open Access
175 Citations
18,351 Views
17 Pages

Validating Deep Neural Networks for Online Decoding of Motor Imagery Movements from EEG Signals

  • Zied Tayeb,
  • Juri Fedjaev,
  • Nejla Ghaboosi,
  • Christoph Richter,
  • Lukas Everding,
  • Xingwei Qu,
  • Yingyu Wu,
  • Gordon Cheng and
  • Jörg Conradt

8 January 2019

Non-invasive, electroencephalography (EEG)-based brain-computer interfaces (BCIs) on motor imagery movements translate the subject’s motor intention into control signals through classifying the EEG patterns caused by different imagination tasks, e.g....

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Sensors - ISSN 1424-8220