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State-of-the-Art Sensors Technology in UK
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State-of-the-Art Sensors Technology in UK

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "State-of-the-Art Sensors Technologies".

Deadline for manuscript submissions: closed (31 August 2017) | Viewed by 41922

Special Issue Editors

Prof. Dr. Gui Yun Tian

E-Mail Website
Guest Editor
School of Electrical, Electronic and Computer Engineering, Newcastle University, Newcastle NE1 7RU, UK
Interests: electromagnetic sensors; sensor array and sensor network; electromagnetic Non-destructive evaluation; advanced signal processing; monitoring systems and applications
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Gerard F. Fernando

E-Mail Website
Guest Editor
Sensors and Composites Group, School of Metallurgy and Materials, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
Interests: novel fibre reinforced composites; process and health monitoring of composites; fibre optic sensors; smart materials

Special Issue Information

Dear Colleagues,

The aim of this special issue is to provide a comprehensive view of the state-of-the-art sensors technology in the UK. Research articles and reviews are solicited which will provide a comprehensive insight into the state-of-the-art in the UK on any aspect of novel sensor development and applications.

Prof. Dr. Gui Yun Tian
Prof. Dr. Gerard F Fernando
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (3 papers)

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Research

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1001 KiB  
Article
A New Proxy Measurement Algorithm with Application to the Estimation of Vertical Ground Reaction Forces Using Wearable Sensors
by Yuzhu Guo, Fabio Storm, Yifan Zhao, Stephen A. Billings, Aleksandar Pavic, Claudia Mazzà and Ling-Zhong Guo
Sensors 2017, 17(10), 2181; https://doi.org/10.3390/s17102181 - 22 Sep 2017
Cited by 42 | Viewed by 7361
Abstract
Measurement of the ground reaction forces (GRF) during walking is typically limited to laboratory settings, and only short observations using wearable pressure insoles have been reported so far. In this study, a new proxy measurement method is proposed to estimate the vertical component [...] Read more.
Measurement of the ground reaction forces (GRF) during walking is typically limited to laboratory settings, and only short observations using wearable pressure insoles have been reported so far. In this study, a new proxy measurement method is proposed to estimate the vertical component of the GRF (vGRF) from wearable accelerometer signals. The accelerations are used as the proxy variable. An orthogonal forward regression algorithm (OFR) is employed to identify the dynamic relationships between the proxy variables and the measured vGRF using pressure-sensing insoles. The obtained model, which represents the connection between the proxy variable and the vGRF, is then used to predict the latter. The results have been validated using pressure insoles data collected from nine healthy individuals under two outdoor walking tasks in non-laboratory settings. The results show that the vGRFs can be reconstructed with high accuracy (with an average prediction error of less than 5.0%) using only one wearable sensor mounted at the waist (L5, fifth lumbar vertebra). Proxy measures with different sensor positions are also discussed. Results show that the waist acceleration-based proxy measurement is more stable with less inter-task and inter-subject variability than the proxy measures based on forehead level accelerations. The proposed proxy measure provides a promising low-cost method for monitoring ground reaction forces in real-life settings and introduces a novel generic approach for replacing the direct determination of difficult to measure variables in many applications. Full article
(This article belongs to the Special Issue State-of-the-Art Sensors Technology in UK)
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4686 KiB  
Article
Comparison of Adaptive Spectral Estimation for Vehicle Speed Measurement with Radar Sensors
by Khairul Khaizi Mohd Shariff, Edward Hoare, Liam Daniel, Michail Antoniou and Mikhail Cherniakov
Sensors 2017, 17(4), 751; https://doi.org/10.3390/s17040751 - 02 Apr 2017
Cited by 14 | Viewed by 6578
Abstract
Vehicle speed-over-ground (SoG) radar offers significant advantages over conventional speed measurement systems. Radar sensors enable contactless speed measurement, which is free from wheel slip. One of the key issues in SoG radar is the development of the Doppler shift estimation algorithm. In this [...] Read more.
Vehicle speed-over-ground (SoG) radar offers significant advantages over conventional speed measurement systems. Radar sensors enable contactless speed measurement, which is free from wheel slip. One of the key issues in SoG radar is the development of the Doppler shift estimation algorithm. In this paper, we compared two algorithms to estimate a mean Doppler frequency accurately. The first is the center-of-mass algorithm, which based on spectrum center-of-mass estimation with a bandwidth-limiting technique. The second is the cross-correlation algorithm, which is based on a cross-correlation technique by cross-correlating Doppler spectrum with a theoretical Gaussian curve. Analysis shows that both algorithms are computationally efficient and suitable for real-time SoG systems. Our extensive simulated and experimental results show both methods achieved low estimation error between 0.5% and 1.5% for flat road conditions. In terms of reliability, the cross-correlation method shows good performance under low Signal-to-Noise Ratio (SNR) while the center-of-mass method failed in this condition. Full article
(This article belongs to the Special Issue State-of-the-Art Sensors Technology in UK)
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Review

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3320 KiB  
Review
A Review of Passive RFID Tag Antenna-Based Sensors and Systems for Structural Health Monitoring Applications
by Jun Zhang, Gui Yun Tian, Adi M. J. Marindra, Ali Imam Sunny and Ao Bo Zhao
Sensors 2017, 17(2), 265; https://doi.org/10.3390/s17020265 - 29 Jan 2017
Cited by 290 | Viewed by 27056
Abstract
In recent few years, the antenna and sensor communities have witnessed a considerable integration of radio frequency identification (RFID) tag antennas and sensors because of the impetus provided by internet of things (IoT) and cyber-physical systems (CPS). Such types of sensor can find [...] Read more.
In recent few years, the antenna and sensor communities have witnessed a considerable integration of radio frequency identification (RFID) tag antennas and sensors because of the impetus provided by internet of things (IoT) and cyber-physical systems (CPS). Such types of sensor can find potential applications in structural health monitoring (SHM) because of their passive, wireless, simple, compact size, and multimodal nature, particular in large scale infrastructures during their lifecycle. The big data from these ubiquitous sensors are expected to generate a big impact for intelligent monitoring. A remarkable number of scientific papers demonstrate the possibility that objects can be remotely tracked and intelligently monitored for their physical/chemical/mechanical properties and environment conditions. Most of the work focuses on antenna design, and significant information has been generated to demonstrate feasibilities. Further information is needed to gain deep understanding of the passive RFID antenna sensor systems in order to make them reliable and practical. Nevertheless, this information is scattered over much literature. This paper is to comprehensively summarize and clearly highlight the challenges and state-of-the-art methods of passive RFID antenna sensors and systems in terms of sensing and communication from system point of view. Future trends are also discussed. The future research and development in UK are suggested as well. Full article
(This article belongs to the Special Issue State-of-the-Art Sensors Technology in UK)
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