Sensors

12 pages, 5603 KiB

Open AccessArticle

Diaphragm Based Fiber Bragg Grating Acceleration Sensor with Temperature Compensation

by Tianliang Li^*

, Yuegang Tan, Xue Han, Kai Zheng

and Zude Zhou

School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan 430070, China

Sensors 2017, 17(1), 218; https://doi.org/10.3390/s17010218 - 23 Jan 2017

Cited by 96 | Viewed by 8581

Abstract

A novel fiber Bragg grating (FBG) sensing-based acceleration sensor has been proposed to simultaneously decouple and measure temperature and acceleration in real-time. This design applied a diaphragm structure and utilized the axial property of a tightly suspended optical fiber, enabling improvement in its [...] Read more.

A novel fiber Bragg grating (FBG) sensing-based acceleration sensor has been proposed to simultaneously decouple and measure temperature and acceleration in real-time. This design applied a diaphragm structure and utilized the axial property of a tightly suspended optical fiber, enabling improvement in its sensitivity and resonant frequency and achieve a low cross-sensitivity. The theoretical vibrational model of the sensor has been built, and its design parameters and sensing properties have been analyzed through the numerical analysis. A decoupling method has been presented with consideration of the thermal expansion of the sensor structure to realize temperature compensation. Experimental results show that the temperature sensitivity is 8.66 pm/°C within the range of 30–90 °C. The acceleration sensitivity is 20.189 pm/g with a linearity of 0.764% within the range of 5~65 m/s². The corresponding working bandwidth is 10~200 Hz and its resonant frequency is 600 Hz. This sensor possesses an excellent impact resistance for the cross direction, and the cross-axis sensitivity is below 3.31%. This implementation can avoid the FBG-pasting procedure and overcome its associated shortcomings. The performance of the proposed acceleration sensor can be easily adjusted by modifying their corresponding physical parameters to satisfy requirements from different vibration measurements. Full article

(This article belongs to the Section Physical Sensors)

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12 pages, 7034 KiB

Open AccessArticle

Hierarchical NiCo₂O₄ Hollow Sphere as a Peroxidase Mimetic for Colorimetric Detection of H₂O₂ and Glucose

by Wei Huang¹, Tianye Lin¹, Yang Cao¹, Xiaoyong Lai², Juan Peng² and Jinchun Tu^1,*

¹ State Key Laboratory of Marine Resource Utilization in South China Sea, Key Laboratory of Tropical Biological Resources of Ministry of Education Hainan University, College of Material and Chemical Engineering, Haikou 570228, China

² Laboratory Cultivation Base of Natural Gas Conversion, School of Chemistry and Chemical Engineering, Ningxia University, Yinchuan 750021, China

Sensors 2017, 17(1), 217; https://doi.org/10.3390/s17010217 - 23 Jan 2017

Cited by 41 | Viewed by 10032

Abstract

In this work, the hierarchical NiCo₂O₄ hollow sphere synthesized via a “coordinating etching and precipitating” process was demonstrated to exhibit intrinsic peroxidase-like activity. The peroxidase-like activity of NiCo₂O₄, NiO, and Co₃O₄ hollow spheres [...] Read more.

In this work, the hierarchical NiCo₂O₄ hollow sphere synthesized via a “coordinating etching and precipitating” process was demonstrated to exhibit intrinsic peroxidase-like activity. The peroxidase-like activity of NiCo₂O₄, NiO, and Co₃O₄ hollow spheres were comparatively studied by the catalytic oxidation reaction of 3,3,5,5-tetramethylbenzidine (TMB) in presence of H₂O₂, and a superior peroxidase-like activity of NiCo₂O₄ was confirmed by stronger absorbance at 652 nm. Furthermore, the proposed sensing platform showed commendable response to H₂O₂ with a linear range from 10 μM to 400 μM, and a detection limit of 0.21 μM. Cooperated with GOx, the developed novel colorimetric and visual glucose-sensing platform exhibited high selectivity, favorable reproducibility, satisfactory applicability, wide linear range (from 0.1 mM to 4.5 mM), and a low detection limit of 5.31 μM. In addition, the concentration-dependent color change would offer a better and handier way for detection of H₂O₂ and glucose by naked eye. Full article

(This article belongs to the Special Issue Colorimetric and Fluorescent Sensor)

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16 pages, 18729 KiB

Open AccessArticle

An Adaptive Moving Target Imaging Method for Bistatic Forward-Looking SAR Using Keystone Transform and Optimization NLCS

by Zhongyu Li^1,2,*,†, Junjie Wu^1,†, Yulin Huang¹, Haiguang Yang¹ and Jianyu Yang¹

¹ School of Electronic Engineering, University of Electronic Science and Technology of China, No. 2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu 611731, China

² Department of Information Engineering, Electronics and Telecommunications (DIET), University of Rome “La Sapienza”, Via Eudossianan, n.18, cap 00184 Roma, Italy

^† These authors contributed equally to this work.

Sensors 2017, 17(1), 216; https://doi.org/10.3390/s17010216 - 23 Jan 2017

Cited by 6 | Viewed by 5340

Abstract

Bistatic forward-looking SAR (BFSAR) is a kind of bistatic synthetic aperture radar (SAR) system that can image forward-looking terrain in the flight direction of an aircraft. Until now, BFSAR imaging theories and methods for a stationary scene have been researched thoroughly. However, for [...] Read more.

Bistatic forward-looking SAR (BFSAR) is a kind of bistatic synthetic aperture radar (SAR) system that can image forward-looking terrain in the flight direction of an aircraft. Until now, BFSAR imaging theories and methods for a stationary scene have been researched thoroughly. However, for moving-target imaging with BFSAR, the non-cooperative movement of the moving target induces some new issues: (I) large and unknown range cell migration (RCM) (including range walk and high-order RCM); (II) the spatial-variances of the Doppler parameters (including the Doppler centroid and high-order Doppler) are not only unknown, but also nonlinear for different point-scatterers. In this paper, we put forward an adaptive moving-target imaging method for BFSAR. First, the large and unknown range walk is corrected by applying keystone transform over the whole received echo, and then, the relationships among the unknown high-order RCM, the nonlinear spatial-variances of the Doppler parameters, and the speed of the mover, are established. After that, using an optimization nonlinear chirp scaling (NLCS) technique, not only can the unknown high-order RCM be accurately corrected, but also the nonlinear spatial-variances of the Doppler parameters can be balanced. At last, a high-order polynomial filter is applied to compress the whole azimuth data of the moving target. Numerical simulations verify the effectiveness of the proposed method. Full article

(This article belongs to the Section Remote Sensors)

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16 pages, 23328 KiB

Open AccessArticle

Three-Dimensional Measurement for Specular Reflection Surface Based on Reflection Component Separation and Priority Region Filling Theory

by Xiaoming Sun^*, Ye Liu, Xiaoyang Yu^*, Haibin Wu and Ning Zhang

The Higher Educational Key Laboratory for Measuring & Control Technology and Instrumentations, Harbin University of Science and Technology, Harbin 150080, China

Sensors 2017, 17(1), 215; https://doi.org/10.3390/s17010215 - 23 Jan 2017

Cited by 31 | Viewed by 7994

Abstract

Due to the strong reflection property of materials with smooth surfaces like ceramic and metal, it will cause saturation and the highlight phenomenon in the image when taking pictures of those materials. In order to solve this problem, a new algorithm which is [...] Read more.

Due to the strong reflection property of materials with smooth surfaces like ceramic and metal, it will cause saturation and the highlight phenomenon in the image when taking pictures of those materials. In order to solve this problem, a new algorithm which is based on reflection component separation (RCS) and priority region filling theory is designed. Firstly, the specular pixels in the image are found by comparing the pixel parameters. Then, the reflection components are separated and processed. However, for ceramic, metal and other objects with strong specular highlight, RCS theory will change color information of highlight pixels due to larger specular reflection component. In this situation, priority region filling theory was used to restore the color information. Finally, we implement 3D experiments on objects with strong reflecting surfaces like ceramic plate, ceramic bottle, marble pot and yellow plate. Experimental results show that, with the proposed method, the highlight caused by the strong reflecting surface can be well suppressed. The highlight pixel number of ceramic plate, ceramic bottle, marble pot and yellow plate, is decreased by 43.8 times, 41.4 times, 33.0 times, and 10.1 times. Three-dimensional reconstruction results show that highlight areas were significantly reduced. Full article

(This article belongs to the Section Physical Sensors)

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23 pages, 14910 KiB

Open AccessArticle

Vinobot and Vinoculer: Two Robotic Platforms for High-Throughput Field Phenotyping

by Ali Shafiekhani¹, Suhas Kadam², Felix B. Fritschi² and Guilherme N. DeSouza^1,*

¹ ViGIR Lab, Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO 65211, USA

² Division of Plant Sciences, University of Missouri, Columbia, MO 65211, USA

Sensors 2017, 17(1), 214; https://doi.org/10.3390/s17010214 - 23 Jan 2017

Cited by 134 | Viewed by 18263

Abstract

In this paper, a new robotic architecture for plant phenotyping is being introduced. The architecture consists of two robotic platforms: an autonomous ground vehicle (Vinobot) and a mobile observation tower (Vinoculer). The ground vehicle collects data from individual plants, while the observation tower [...] Read more.

In this paper, a new robotic architecture for plant phenotyping is being introduced. The architecture consists of two robotic platforms: an autonomous ground vehicle (Vinobot) and a mobile observation tower (Vinoculer). The ground vehicle collects data from individual plants, while the observation tower oversees an entire field, identifying specific plants for further inspection by the Vinobot. The advantage of this architecture is threefold: first, it allows the system to inspect large areas of a field at any time, during the day and night, while identifying specific regions affected by biotic and/or abiotic stresses; second, it provides high-throughput plant phenotyping in the field by either comprehensive or selective acquisition of accurate and detailed data from groups or individual plants; and third, it eliminates the need for expensive and cumbersome aerial vehicles or similarly expensive and confined field platforms. As the preliminary results from our algorithms for data collection and 3D image processing, as well as the data analysis and comparison with phenotype data collected by hand demonstrate, the proposed architecture is cost effective, reliable, versatile, and extendable. Full article

(This article belongs to the Special Issue Vision-Based Sensors in Field Robotics)

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29 pages, 12592 KiB

Open AccessArticle

Opportunistic Sensor Data Collection with Bluetooth Low Energy

by Sergio Aguilar, Rafael Vidal^†

and Carles Gomez^*,†

¹ Universitat Politècnica de Catalunya/Fundació i2Cat, C/Esteve Terradas, 7, 08860 Castelldefels, Spain

^† These authors contributed equally to this work.

Sensors 2017, 17(1), 159; https://doi.org/10.3390/s17010159 - 23 Jan 2017

Cited by 62 | Viewed by 10774

Abstract

Bluetooth Low Energy (BLE) has gained very high momentum, as witnessed by its widespread presence in smartphones, wearables and other consumer electronics devices. This fact can be leveraged to carry out opportunistic sensor data collection (OSDC) in scenarios where a sensor node cannot [...] Read more.

Bluetooth Low Energy (BLE) has gained very high momentum, as witnessed by its widespread presence in smartphones, wearables and other consumer electronics devices. This fact can be leveraged to carry out opportunistic sensor data collection (OSDC) in scenarios where a sensor node cannot communicate with infrastructure nodes. In such cases, a mobile entity (e.g., a pedestrian or a vehicle) equipped with a BLE-enabled device can collect the data obtained by the sensor node when both are within direct communication range. In this paper, we characterize, both analytically and experimentally, the performance and trade-offs of BLE as a technology for OSDC, for the two main identified approaches, and considering the impact of its most crucial configuration parameters. Results show that a BLE sensor node running on a coin cell battery can achieve a lifetime beyond one year while transferring around 10 Mbit/day, in realistic OSDC scenarios. Full article

(This article belongs to the Section Sensor Networks)

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16 pages, 2601 KiB

Open AccessReview

Gas Sensors Based on Polymer Field-Effect Transistors

by Aifeng Lv¹, Yong Pan¹ and Lifeng Chi^1,2,*

¹ Physikalisches Institut and Center for Nanotechnology (CeNTech), Universität Münster, Wilhelm-Klemm-Str. 10, Münster 48149, Germany

² Jiangsu Key Laboratory for Carbon-Based Functional Materials & Devices, Functional Nano and Soft Materials Laboratory (FUNSOM), Soochow University, Renai Rd. 199, Suzhou 215123, China

Sensors 2017, 17(1), 213; https://doi.org/10.3390/s17010213 - 22 Jan 2017

Cited by 84 | Viewed by 12430

Abstract

This review focuses on polymer field-effect transistor (PFET) based gas sensor with polymer as the sensing layer, which interacts with gas analyte and thus induces the change of source-drain current (ΔI_SD). Dependent on the sensing layer which can be semiconducting [...] Read more.

This review focuses on polymer field-effect transistor (PFET) based gas sensor with polymer as the sensing layer, which interacts with gas analyte and thus induces the change of source-drain current (ΔI_SD). Dependent on the sensing layer which can be semiconducting polymer, dielectric layer or conducting polymer gate, the PFET sensors can be subdivided into three types. For each type of sensor, we present the molecular structure of sensing polymer, the gas analyte and the sensing performance. Most importantly, we summarize various analyte–polymer interactions, which help to understand the sensing mechanism in the PFET sensors and can provide possible approaches for the sensor fabrication in the future. Full article

(This article belongs to the Special Issue Gas Nanosensors)

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10 pages, 954 KiB

Open AccessArticle

Fabrication Technology and Characteristics of a Magnetic Sensitive Transistor with nc-Si:H/c-Si Heterojunction

by Xiaofeng Zhao^*, Baozeng Li and Dianzhong Wen

School of Electronic Engineering, Heilongjiang University, Harbin 150080, China

Sensors 2017, 17(1), 212; https://doi.org/10.3390/s17010212 - 22 Jan 2017

Cited by 7 | Viewed by 5886

Abstract

This paper presents a magnetically sensitive transistor using a nc-Si:H/c-Si heterojunction as an emitter junction. By adopting micro electro-mechanical systems (MEMS) technology and chemical vapor deposition (CVD) method, the nc-Si:H/c-Si heterojunction silicon magnetically sensitive transistor (HSMST) chips were designed and fabricated on a [...] Read more.

This paper presents a magnetically sensitive transistor using a nc-Si:H/c-Si heterojunction as an emitter junction. By adopting micro electro-mechanical systems (MEMS) technology and chemical vapor deposition (CVD) method, the nc-Si:H/c-Si heterojunction silicon magnetically sensitive transistor (HSMST) chips were designed and fabricated on a p-type <100> orientation double-side polished silicon wafer with high resistivity. In addition, a collector load resistor (

R_{L}

) was integrated on the chip, and the resistor converted the collector current (

I_{C}

) to a collector output voltage (

V_{out}

). When

I_{B}

= 8.0 mA,

V_{DD}

= 10.0 V, and

R_{L}

= 4.1 kΩ, the magnetic sensitivity (

S_{V}

) at room temperature and temperature coefficient (

α_{C}

) of the collector current for HSMST were 181 mV/T and −0.11%/°C, respectively. The experimental results show that the magnetic sensitivity and temperature characteristics of the proposed transistor can be obviously improved by the use of a nc-Si:H/c-Si heterojunction as an emitter junction. Full article

(This article belongs to the Special Issue MEMS and Nano-Sensors)

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11 pages, 1944 KiB

Open AccessArticle

Evaluation of Commercial Self-Monitoring Devices for Clinical Purposes: Results from the Future Patient Trial, Phase I

by Soren Leth^1,*, John Hansen^1,2

, Olav W. Nielsen³ and Birthe Dinesen¹

¹ Laboratory of Welfare Technologies—Telehealth & Telerehabilitation, SMI, Department of Health Science and Technology, Aalborg University, Aalborg 9100, Denmark

² Medical Informatics Group, Department of Health Science and Technology, Aalborg University, Aalborg 9100, Denmark

³ Department of Cardiology, Copenhagen University Hospital Bispebjerg, Copenhagen NV 2400, Denmark

Sensors 2017, 17(1), 211; https://doi.org/10.3390/s17010211 - 22 Jan 2017

Cited by 55 | Viewed by 11065

Abstract

Commercial self-monitoring devices are becoming increasingly popular, and over the last decade, the use of self-monitoring technology has spread widely in both consumer and medical markets. The purpose of this study was to evaluate five commercially available self-monitoring devices for further testing in [...] Read more.

Commercial self-monitoring devices are becoming increasingly popular, and over the last decade, the use of self-monitoring technology has spread widely in both consumer and medical markets. The purpose of this study was to evaluate five commercially available self-monitoring devices for further testing in clinical applications. Four activity trackers and one sleep tracker were evaluated based on step count validity and heart rate validity. Methods: The study enrolled 22 healthy volunteers in a walking test. Volunteers walked a 100 m track at 2 km/h and 3.5 km/h. Steps were measured by four activity trackers and compared to gyroscope readings. Two trackers were also tested on nine subjects by comparing pulse readings to Holter monitoring. Results: The lowest average systematic error in the walking tests was −0.2%, recorded on the Garmin Vivofit 2 at 3.5 km/h; the highest error was the Fitbit Charge HR at 2 km/h with an error margin of 26.8%. Comparisons of pulse measurements from the Fitbit Charge HR revealed a margin error of −3.42% ± 7.99% compared to the electrocardiogram. The Beddit sleep tracker measured a systematic error of −3.27% ± 4.60%. Conclusion: The measured results revealed the current functionality and limitations of the five self-tracking devices, and point towards a need for future research in this area. Full article

(This article belongs to the Special Issue Sensing Technology for Healthcare System)

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13 pages, 590 KiB

Open AccessArticle

Competitive Swarm Optimizer Based Gateway Deployment Algorithm in Cyber-Physical Systems

by Shuqiang Huang^1,* and Ming Tao²

¹ Department of Optoelectronic Engineering, Jinan University, Guangzhou 510632, China

² College of Computer and Network Security, Dongguan University of Technology, Dongguan 523808, China

Sensors 2017, 17(1), 209; https://doi.org/10.3390/s17010209 - 22 Jan 2017

Cited by 7 | Viewed by 5967

Abstract

Wireless sensor network topology optimization is a highly important issue, and topology control through node selection can improve the efficiency of data forwarding, while saving energy and prolonging lifetime of the network. To address the problem of connecting a wireless sensor network to [...] Read more.

Wireless sensor network topology optimization is a highly important issue, and topology control through node selection can improve the efficiency of data forwarding, while saving energy and prolonging lifetime of the network. To address the problem of connecting a wireless sensor network to the Internet in cyber-physical systems, here we propose a geometric gateway deployment based on a competitive swarm optimizer algorithm. The particle swarm optimization (PSO) algorithm has a continuous search feature in the solution space, which makes it suitable for finding the geometric center of gateway deployment; however, its search mechanism is limited to the individual optimum (pbest) and the population optimum (gbest); thus, it easily falls into local optima. In order to improve the particle search mechanism and enhance the search efficiency of the algorithm, we introduce a new competitive swarm optimizer (CSO) algorithm. The CSO search algorithm is based on an inter-particle competition mechanism and can effectively avoid trapping of the population falling into a local optimum. With the improvement of an adaptive opposition-based search and its ability to dynamically parameter adjustments, this algorithm can maintain the diversity of the entire swarm to solve geometric K-center gateway deployment problems. The simulation results show that this CSO algorithm has a good global explorative ability as well as convergence speed and can improve the network quality of service (QoS) level of cyber-physical systems by obtaining a minimum network coverage radius. We also find that the CSO algorithm is more stable, robust and effective in solving the problem of geometric gateway deployment as compared to the PSO or Kmedoids algorithms. Full article

(This article belongs to the Special Issue New Paradigms in Cyber-Physical Social Sensing)

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21 pages, 917 KiB

Open AccessArticle

Object Detection and Classification by Decision-Level Fusion for Intelligent Vehicle Systems

by Sang-Il Oh

and Hang-Bong Kang^*

Department of Media Engineering, Catholic University of Korea, 43-1, Yeoggok 2-dong, Wonmmi-gu, Bucheon-si, Gyeonggi-do 14662, Korea

Sensors 2017, 17(1), 207; https://doi.org/10.3390/s17010207 - 22 Jan 2017

Cited by 103 | Viewed by 12421

Abstract

To understand driving environments effectively, it is important to achieve accurate detection and classification of objects detected by sensor-based intelligent vehicle systems, which are significantly important tasks. Object detection is performed for the localization of objects, whereas object classification recognizes object classes from [...] Read more.

To understand driving environments effectively, it is important to achieve accurate detection and classification of objects detected by sensor-based intelligent vehicle systems, which are significantly important tasks. Object detection is performed for the localization of objects, whereas object classification recognizes object classes from detected object regions. For accurate object detection and classification, fusing multiple sensor information into a key component of the representation and perception processes is necessary. In this paper, we propose a new object-detection and classification method using decision-level fusion. We fuse the classification outputs from independent unary classifiers, such as 3D point clouds and image data using a convolutional neural network (CNN). The unary classifiers for the two sensors are the CNN with five layers, which use more than two pre-trained convolutional layers to consider local to global features as data representation. To represent data using convolutional layers, we apply region of interest (ROI) pooling to the outputs of each layer on the object candidate regions generated using object proposal generation to realize color flattening and semantic grouping for charge-coupled device and Light Detection And Ranging (LiDAR) sensors. We evaluate our proposed method on a KITTI benchmark dataset to detect and classify three object classes: cars, pedestrians and cyclists. The evaluation results show that the proposed method achieves better performance than the previous methods. Our proposed method extracted approximately 500 proposals on a

1226 \times 370

image, whereas the original selective search method extracted approximately

10^{6} \times n

proposals. We obtained classification performance with 77.72% mean average precision over the entirety of the classes in the moderate detection level of the KITTI benchmark dataset. Full article

(This article belongs to the Special Issue Sensors for Transportation)

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11 pages, 3526 KiB

Open AccessArticle

A Low Frequency FBG Accelerometer with Symmetrical Bended Spring Plates

by Fufei Liu¹, Yutang Dai^1,*, Joseph Muna Karanja² and Minghong Yang^1,*

¹ National Engineering Laboratory for Fiber Optic Sensing Technology, Wuhan University of Technology, Luoshi Road 122, 430070 Wuhan, China

² Physics Department, Pwani University, P.O. Box 195-80108 Kilifi, Kenya

Sensors 2017, 17(1), 206; https://doi.org/10.3390/s17010206 - 22 Jan 2017

Cited by 50 | Viewed by 7421

Abstract

To meet the requirements for low-frequency vibration monitoring, a new type of FBG (fiber Bragg grating) accelerometer with a bended spring plate is proposed. Two symmetrical bended spring plates are used as elastic elements, which drive the FBG to produce axial strains equal [...] Read more.

To meet the requirements for low-frequency vibration monitoring, a new type of FBG (fiber Bragg grating) accelerometer with a bended spring plate is proposed. Two symmetrical bended spring plates are used as elastic elements, which drive the FBG to produce axial strains equal in magnitude but opposite in direction when exciting vibrations exist, leading to doubling the wavelength shift of the FBG. The mechanics model and a numerical method are presented in this paper, with which the influence of the structural parameters on the sensitivity and the eigenfrequency are discussed. The test results show that the sensitivity of the accelerometer is more than 1000 pm/g when the frequency is within the 0.7–20 Hz range. Full article

(This article belongs to the Section Physical Sensors)

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20 pages, 6983 KiB

Open AccessArticle

Evaluation on Radiometric Capability of Chinese Optical Satellite Sensors

by Aixia Yang^1,2, Bo Zhong^1,*

, Shanlong Wu¹ and Qinhuo Liu^1,2,*

¹ State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China

² College of Resource and Environment, University of Chinese Academy of Sciences, Beijing 100049, China

Sensors 2017, 17(1), 204; https://doi.org/10.3390/s17010204 - 22 Jan 2017

Cited by 13 | Viewed by 5319

Abstract

The radiometric capability of on-orbit sensors should be updated on time due to changes induced by space environmental factors and instrument aging. Some sensors, such as Moderate Resolution Imaging Spectroradiometer (MODIS), have onboard calibrators, which enable real-time calibration. However, most Chinese remote sensing [...] Read more.

The radiometric capability of on-orbit sensors should be updated on time due to changes induced by space environmental factors and instrument aging. Some sensors, such as Moderate Resolution Imaging Spectroradiometer (MODIS), have onboard calibrators, which enable real-time calibration. However, most Chinese remote sensing satellite sensors lack onboard calibrators. Their radiometric calibrations have been updated once a year based on a vicarious calibration procedure, which has affected the applications of the data. Therefore, a full evaluation of the sensors’ radiometric capabilities is essential before quantitative applications can be made. In this study, a comprehensive procedure for evaluating the radiometric capability of several Chinese optical satellite sensors is proposed. In this procedure, long-term radiometric stability and radiometric accuracy are the two major indicators for radiometric evaluation. The radiometric temporal stability is analyzed by the tendency of long-term top-of-atmosphere (TOA) reflectance variation; the radiometric accuracy is determined by comparison with the TOA reflectance from MODIS after spectrally matching. Three Chinese sensors including the Charge-Coupled Device (CCD) camera onboard Huan Jing 1 satellite (HJ-1), as well as the Visible and Infrared Radiometer (VIRR) and Medium-Resolution Spectral Imager (MERSI) onboard the Feng Yun 3 satellite (FY-3) are evaluated in reflective bands based on this procedure. The results are reasonable, and thus can provide reliable reference for the sensors’ application, and as such will promote the development of Chinese satellite data. Full article

(This article belongs to the Special Issue Sensors and Smart Sensing of Agricultural Land Systems)

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20 pages, 3559 KiB

Open AccessReview

Imaging and Force Recognition of Single Molecular Behaviors Using Atomic Force Microscopy

by Mi Li¹, Dan Dang², Lianqing Liu^1,*, Ning Xi^1,3,* and Yuechao Wang¹

¹ State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China

² School of Medical Device, Shenyang Pharmaceutical University, Shenyang 110016, China

³ Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong, Hong Kong, China

Sensors 2017, 17(1), 200; https://doi.org/10.3390/s17010200 - 22 Jan 2017

Cited by 33 | Viewed by 11010

Abstract

The advent of atomic force microscopy (AFM) has provided a powerful tool for investigating the behaviors of single native biological molecules under physiological conditions. AFM can not only image the conformational changes of single biological molecules at work with sub-nanometer resolution, but also [...] Read more.

The advent of atomic force microscopy (AFM) has provided a powerful tool for investigating the behaviors of single native biological molecules under physiological conditions. AFM can not only image the conformational changes of single biological molecules at work with sub-nanometer resolution, but also sense the specific interactions of individual molecular pair with piconewton force sensitivity. In the past decade, the performance of AFM has been greatly improved, which makes it widely used in biology to address diverse biomedical issues. Characterizing the behaviors of single molecules by AFM provides considerable novel insights into the underlying mechanisms guiding life activities, contributing much to cell and molecular biology. In this article, we review the recent developments of AFM studies in single-molecule assay. The related techniques involved in AFM single-molecule assay were firstly presented, and then the progress in several aspects (including molecular imaging, molecular mechanics, molecular recognition, and molecular activities on cell surface) was summarized. The challenges and future directions were also discussed. Full article

(This article belongs to the Special Issue Single-Molecule Sensing)

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9 pages, 1123 KiB

Open AccessArticle

Photoacoustic Spectroscopy for the Determination of Lung Cancer Biomarkers—A Preliminary Investigation

by Yannick Saalberg^1,2,*, Henry Bruhns¹ and Marcus Wolff¹

¹ Hamburg University of Applied Sciences, Heinrich Blasius Institute for Physical Technologies, Berliner Tor 21, 20099 Hamburg, Germany

² University of the West of Scotland, High Street, PA1 2BE Paisley, UK

Sensors 2017, 17(1), 210; https://doi.org/10.3390/s17010210 - 21 Jan 2017

Cited by 25 | Viewed by 9369

Abstract

With 1.6 million deaths per year, lung cancer is one of the leading causes of death worldwide. One reason for this high number is the absence of a preventive medical examination method. Many diagnoses occur in a late cancer stage with a low [...] Read more.

With 1.6 million deaths per year, lung cancer is one of the leading causes of death worldwide. One reason for this high number is the absence of a preventive medical examination method. Many diagnoses occur in a late cancer stage with a low survival rate. An early detection could significantly decrease the mortality. In recent decades, certain substances in human breath have been linked to certain diseases. Different studies show that it is possible to distinguish between lung cancer patients and a healthy control group by analyzing the volatile organic compounds (VOCs) in their breath. We developed a sensor based on photoacoustic spectroscopy for six of the most relevant VOCs linked to lung cancer. As a radiation source, the sensor uses an optical-parametric oscillator (OPO) in a wavelength region from 3.2 µm to 3.5 µm. The limits of detection for a single substance range between 5 ppb and 142 ppb. We also measured high resolution absorption spectra of the biomarkers compared to the data currently available from the National Institute of Standards and Technology (NIST) database, which is the basis of any selective spectroscopic detection. Future lung cancer screening devices could be based on the further development of this sensor. Full article

(This article belongs to the Special Issue Gas Sensors for Health Care and Medical Applications)

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12 pages, 2359 KiB

Open AccessArticle

Effective Calibration of Low-Cost Soil Water Content Sensors

by Heye Reemt Bogena^*

, Johan Alexander Huisman

, Bernd Schilling, Ansgar Weuthen and Harry Vereecken

Institute of Bio- and Geosciences, Agrosphere Institute (IBG-3), Forschungszentrum Jülich GmbH, 52425 Jülich, Germany

Sensors 2017, 17(1), 208; https://doi.org/10.3390/s17010208 - 21 Jan 2017

Cited by 102 | Viewed by 15560

Abstract

Soil water content is a key variable for understanding and modelling ecohydrological processes. Low-cost electromagnetic sensors are increasingly being used to characterize the spatio-temporal dynamics of soil water content, despite the reduced accuracy of such sensors as compared to reference electromagnetic soil water [...] Read more.

Soil water content is a key variable for understanding and modelling ecohydrological processes. Low-cost electromagnetic sensors are increasingly being used to characterize the spatio-temporal dynamics of soil water content, despite the reduced accuracy of such sensors as compared to reference electromagnetic soil water content sensing methods such as time domain reflectometry. Here, we present an effective calibration method to improve the measurement accuracy of low-cost soil water content sensors taking the recently developed SMT100 sensor (Truebner GmbH, Neustadt, Germany) as an example. We calibrated the sensor output of more than 700 SMT100 sensors to permittivity using a standard procedure based on five reference media with a known apparent dielectric permittivity (1 < K_a < 34.8). Our results showed that a sensor-specific calibration improved the accuracy of the calibration compared to single “universal” calibration. The associated additional effort in calibrating each sensor individually is relaxed by a dedicated calibration setup that enables the calibration of large numbers of sensors in limited time while minimizing errors in the calibration process. Full article

(This article belongs to the Collection Sensors in Agriculture and Forestry)

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15 pages, 7094 KiB

Open AccessArticle

Ubiquitous Emergency Medical Service System Based on Wireless Biosensors, Traffic Information, and Wireless Communication Technologies: Development and Evaluation

by Tan-Hsu Tan¹, Munkhjargal Gochoo^1,*, Yung-Fu Chen^2,8

, Jin-Jia Hu¹, John Y. Chiang³, Ching-Su Chang⁴, Ming-Huei Lee⁵, Yung-Nian Hsu⁶ and Jiin-Chyr Hsu⁷

¹ Department of Electrical Engineering, National Taipei University of Technology, Taipei 10608, Taiwan

² Department of Dental Technology and Materials Science, Central Taiwan University of Science and Technology, Taichung City 40601, Taiwan

³ Department of Computer Science and Engineering, National Sun Yat-Sen University, Kaohsiung 80424, Taiwan

⁴ Department of Data & Broadband Maintenance Center, Chunghwa Telecom Hsinchu Business Group, Hsinchu City 300, Taiwan

⁵ Department of Urology, Feng Yuan Hospital, Ministry of Health and Welfare, Taichung 42055, Taiwan

⁶ Department of Family Medicine, Taichung Hospital, Ministry of Health and Welfare, Taichung 403, Taiwan

⁷ Department of Internal Medicine, Taipei Hospital, Ministry of Health and Welfare, New Taipei City 242-13, Taiwan

⁸ Department of Health Services Administration, China Medical University, Taichung 40402, Taiwan

Sensors 2017, 17(1), 202; https://doi.org/10.3390/s17010202 - 21 Jan 2017

Cited by 29 | Viewed by 9101

Abstract

This study presents a new ubiquitous emergency medical service system (UEMS) that consists of a ubiquitous tele-diagnosis interface and a traffic guiding subsystem. The UEMS addresses unresolved issues of emergency medical services by managing the sensor wires for eliminating inconvenience for both patients [...] Read more.

This study presents a new ubiquitous emergency medical service system (UEMS) that consists of a ubiquitous tele-diagnosis interface and a traffic guiding subsystem. The UEMS addresses unresolved issues of emergency medical services by managing the sensor wires for eliminating inconvenience for both patients and paramedics in an ambulance, providing ubiquitous accessibility of patients’ biosignals in remote areas where the ambulance cannot arrive directly, and offering availability of real-time traffic information which can make the ambulance reach the destination within the shortest time. In the proposed system, patient’s biosignals and real-time video, acquired by wireless biosensors and a webcam, can be simultaneously transmitted to an emergency room for pre-hospital treatment via WiMax/3.5 G networks. Performances of WiMax and 3.5 G, in terms of initialization time, data rate, and average end-to-end delay are evaluated and compared. A driver can choose the route of the shortest time among the suggested routes by Google Maps after inspecting the current traffic conditions based on real-time CCTV camera streams and traffic information. The destination address can be inputted vocally for easiness and safety in driving. A series of field test results validates the feasibility of the proposed system for application in real-life scenarios. Full article

(This article belongs to the Collection Sensors for Globalized Healthy Living and Wellbeing)

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11 pages, 7109 KiB

Open AccessArticle

A Lift-Off-Tolerant Magnetic Flux Leakage Testing Method for Drill Pipes at Wellhead

by Jianbo Wu¹, Hui Fang^1,*, Long Li², Jie Wang¹, Xiaoming Huang¹, Yihua Kang², Yanhua Sun² and Chaoqing Tang³

¹ School of Manufacturing Science and Engineering, Sichuan University, Chengdu 610065, China

² School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China

³ School of Electrical and Electronic Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UK

Sensors 2017, 17(1), 201; https://doi.org/10.3390/s17010201 - 21 Jan 2017

Cited by 34 | Viewed by 10075

Abstract

To meet the great needs for MFL (magnetic flux leakage) inspection of drill pipes at wellheads, a lift-off-tolerant MFL testing method is proposed and investigated in this paper. Firstly, a Helmholtz coil magnetization method and the whole MFL testing scheme are proposed. Then, [...] Read more.

To meet the great needs for MFL (magnetic flux leakage) inspection of drill pipes at wellheads, a lift-off-tolerant MFL testing method is proposed and investigated in this paper. Firstly, a Helmholtz coil magnetization method and the whole MFL testing scheme are proposed. Then, based on the magnetic field focusing effect of ferrite cores, a lift-off-tolerant MFL sensor is developed and tested. It shows high sensitivity at a lift-off distance of 5.0 mm. Further, the follow-up high repeatability MFL probing system is designed and manufactured, which was embedded with the developed sensors. It can track the swing movement of drill pipes and allow the pipe ends to pass smoothly. Finally, the developed system is employed in a drilling field for drill pipe inspection. Test results show that the proposed method can fulfill the requirements for drill pipe inspection at wellheads, which is of great importance in drill pipe safety. Full article

(This article belongs to the Section Physical Sensors)

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24 pages, 11346 KiB

Open AccessArticle

Efficient Wideband Spectrum Sensing with Maximal Spectral Efficiency for LEO Mobile Satellite Systems

by Feilong Li

, Zhiqiang Li, Guangxia Li^*, Feihong Dong

and Wei Zhang

College of Communication Engineering, PLA University of Science and Technology, 88 Houbiaoying Rd., Nanjing 210007, China

Sensors 2017, 17(1), 193; https://doi.org/10.3390/s17010193 - 21 Jan 2017

Cited by 6 | Viewed by 5827

Abstract

The usable satellite spectrum is becoming scarce due to static spectrum allocation policies. Cognitive radio approaches have already demonstrated their potential towards spectral efficiency for providing more spectrum access opportunities to secondary user (SU) with sufficient protection to licensed primary user (PU). Hence, [...] Read more.

The usable satellite spectrum is becoming scarce due to static spectrum allocation policies. Cognitive radio approaches have already demonstrated their potential towards spectral efficiency for providing more spectrum access opportunities to secondary user (SU) with sufficient protection to licensed primary user (PU). Hence, recent scientific literature has been focused on the tradeoff between spectrum reuse and PU protection within narrowband spectrum sensing (SS) in terrestrial wireless sensing networks. However, those narrowband SS techniques investigated in the context of terrestrial CR may not be applicable for detecting wideband satellite signals. In this paper, we mainly investigate the problem of joint designing sensing time and hard fusion scheme to maximize SU spectral efficiency in the scenario of low earth orbit (LEO) mobile satellite services based on wideband spectrum sensing. Compressed detection model is established to prove that there indeed exists one optimal sensing time achieving maximal spectral efficiency. Moreover, we propose novel wideband cooperative spectrum sensing (CSS) framework where each SU reporting duration can be utilized for its following SU sensing. The sensing performance benefits from the novel CSS framework because the equivalent sensing time is extended by making full use of reporting slot. Furthermore, in respect of time-varying channel, the spatiotemporal CSS (ST-CSS) is presented to attain space and time diversity gain simultaneously under hard decision fusion rule. Computer simulations show that the optimal sensing settings algorithm of joint optimization of sensing time, hard fusion rule and scheduling strategy achieves significant improvement in spectral efficiency. Additionally, the novel ST-CSS scheme performs much higher spectral efficiency than that of general CSS framework. Full article

(This article belongs to the Section Sensor Networks)

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7 pages, 9881 KiB

Open AccessArticle

Novel Isoprene Sensor for a Flu Virus Breath Monitor

by Pelagia-Irene Gouma^1,2,*, Lisheng Wang², Sanford R. Simon² and Milutin Stanacevic²

¹ Department of Materials Science & Engineering & IPPM-UTARI, University of Texas at Arlington, Arlington, TX 76019, USA

² Center for Nanomaterials and Sensor Development, State University of New York, Stony Brook, NY 11794, USA

Sensors 2017, 17(1), 199; https://doi.org/10.3390/s17010199 - 20 Jan 2017

Cited by 35 | Viewed by 22491

Abstract

A common feature of the inflammatory response in patients who have actually contracted influenza is the generation of a number of volatile products of the alveolar and airway epithelium. These products include a number of volatile organic compounds (VOCs) and nitric oxide (NO). [...] Read more.

A common feature of the inflammatory response in patients who have actually contracted influenza is the generation of a number of volatile products of the alveolar and airway epithelium. These products include a number of volatile organic compounds (VOCs) and nitric oxide (NO). These may be used as biomarkers to detect the disease. A portable 3-sensor array microsystem-based tool that can potentially detect flu infection biomarkers is described here. Whether used in connection with in-vitro cell culture studies or as a single exhale breathalyzer, this device may be used to provide a rapid and non-invasive screening method for flu and other virus-based epidemics. Full article

(This article belongs to the Special Issue Gas Sensors for Health Care and Medical Applications)

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14 pages, 694 KiB

Open AccessArticle

SisFall: A Fall and Movement Dataset

by Angela Sucerquia, José David López^*

and Jesús Francisco Vargas-Bonilla

SISTEMIC, Facultad de Ingeniería, Universidad de Antiquia UDEA, Calle 70 No. 52-21, 1226 Medellín, Colombia

Sensors 2017, 17(1), 198; https://doi.org/10.3390/s17010198 - 20 Jan 2017

Cited by 393 | Viewed by 22666

Abstract

Research on fall and movement detection with wearable devices has witnessed promising growth. However, there are few publicly available datasets, all recorded with smartphones, which are insufficient for testing new proposals due to their absence of objective population, lack of performed activities, and [...] Read more.

Research on fall and movement detection with wearable devices has witnessed promising growth. However, there are few publicly available datasets, all recorded with smartphones, which are insufficient for testing new proposals due to their absence of objective population, lack of performed activities, and limited information. Here, we present a dataset of falls and activities of daily living (ADLs) acquired with a self-developed device composed of two types of accelerometer and one gyroscope. It consists of 19 ADLs and 15 fall types performed by 23 young adults, 15 ADL types performed by 14 healthy and independent participants over 62 years old, and data from one participant of 60 years old that performed all ADLs and falls. These activities were selected based on a survey and a literature analysis. We test the dataset with widely used feature extraction and a simple to implement threshold based classification, achieving up to 96% of accuracy in fall detection. An individual activity analysis demonstrates that most errors coincide in a few number of activities where new approaches could be focused. Finally, validation tests with elderly people significantly reduced the fall detection performance of the tested features. This validates findings of other authors and encourages developing new strategies with this new dataset as the benchmark. Full article

(This article belongs to the Special Issue Wearable Biomedical Sensors)

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26 pages, 9399 KiB

Open AccessArticle

Entropy-Based Registration of Point Clouds Using Terrestrial Laser Scanning and Smartphone GPS

by Maolin Chen^1,*

, Siying Wang², Mingwei Wang¹, Youchuan Wan¹ and Peipei He³

¹ School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China

² Jiangsu Hi-Target Marine Technology Co., Ltd., Nanjin 210032, China

³ School of Resources and Environment, North China University of Water Resources and Electric Power, Zhengzhou 450046, China

Sensors 2017, 17(1), 197; https://doi.org/10.3390/s17010197 - 20 Jan 2017

Cited by 11 | Viewed by 6372

Abstract

Automatic registration of terrestrial laser scanning point clouds is a crucial but unresolved topic that is of great interest in many domains. This study combines terrestrial laser scanner with a smartphone for the coarse registration of leveled point clouds with small roll and [...] Read more.

Automatic registration of terrestrial laser scanning point clouds is a crucial but unresolved topic that is of great interest in many domains. This study combines terrestrial laser scanner with a smartphone for the coarse registration of leveled point clouds with small roll and pitch angles and height differences, which is a novel sensor combination mode for terrestrial laser scanning. The approximate distance between two neighboring scan positions is firstly calculated with smartphone GPS coordinates. Then, 2D distribution entropy is used to measure the distribution coherence between the two scans and search for the optimal initial transformation parameters. To this end, we propose a method called Iterative Minimum Entropy (IME) to correct initial transformation parameters based on two criteria: the difference between the average and minimum entropy and the deviation from the minimum entropy to the expected entropy. Finally, the presented method is evaluated using two data sets that contain tens of millions of points from panoramic and non-panoramic, vegetation-dominated and building-dominated cases and can achieve high accuracy and efficiency. Full article

(This article belongs to the Section Remote Sensors)

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8 pages, 5432 KiB

Open AccessArticle

A Wide-Range Displacement Sensor Based on Plastic Fiber Macro-Bend Coupling

by Jia Liu^1,2

, Yulong Hou^1,*, Huixin Zhang¹, Pinggang Jia¹

, Shan Su¹, Guocheng Fang², Wenyi Liu^1,2 and Jijun Xiong^1,2

¹ Key Laboratory of Instrumentation Science & Dynamic Measurement, Ministry of Education, North University of China, Taiyuan 030051, China

² Science and Technology on Electronic Test & Measurement Laboratory, North University of China, Taiyuan 030051, China

Sensors 2017, 17(1), 196; https://doi.org/10.3390/s17010196 - 20 Jan 2017

Cited by 19 | Viewed by 5688

Abstract

This paper proposes the strategy of fabricating an all fiber wide-range displacement sensor based on the macro-bend coupling effect which causes power transmission between two twisted bending plastic optical fibers (POF), where the coupling power changes with the bending radius of the fibers. [...] Read more.

This paper proposes the strategy of fabricating an all fiber wide-range displacement sensor based on the macro-bend coupling effect which causes power transmission between two twisted bending plastic optical fibers (POF), where the coupling power changes with the bending radius of the fibers. For the sensor, a structure of two twisted plastic fibers is designed with the experimental platform that we constructed. The influence of external temperature and displacement speed shifts are reported. The displacement sensor performance is the sensor test at different temperatures and speeds. The sensor was found to be satisfactory at both room temperature and 70 °C when the displacement is up to 140 mm. The output power is approximately linear to a displacement of 110 mm–140 mm under room temperature and 2 mm/s speed at 19.805 nW/mm sensitivity and 0.12 mm resolution. The simple structure of the sensor makes it reliable for other applications and further utilizations, promising a bright future. Full article

(This article belongs to the Section Physical Sensors)

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3 pages, 533 KiB

Open AccessCorrection

Correction: Liu, B., et al. Quantitative Evaluation of Pulsed Thermography, Lock-In Thermography and Vibrothermography on Foreign Object Defect (FOD) in CFRP. Sensors 2016, 16, doi:10.3390/s16050743

by Bin Liu^1,†, Hai Zhang^2,*,†

, Henrique Fernandes^2,3

and Xavier Maldague²

¹ School of Information Science and Engineering, Shenyang University of Technology, 111 Shenliao West Road, Shenyang 110870, China

² Department of Electrical and Computer Engineering, Computer Vision and Systems Laboratory, Laval University, 1065 av. de la Médecine, QC G1V 0A6, Canada

³ Department of Mechanical Engineering, Federal University of Uberlandia, 2121 Av. Joao Naves de Avila, Uberlandia 38400-902, Brazil

^† These authors contributed equally to this work and should be considered as co-first authors.

Sensors 2017, 17(1), 195; https://doi.org/10.3390/s17010195 - 20 Jan 2017

Viewed by 5581

Abstract

n/a Full article

(This article belongs to the Special Issue Infrared and THz Sensing and Imaging)

12 pages, 1776 KiB

Open AccessArticle

1-Butyl-3-Methylimidazolium Tetrafluoroborate Film as a Highly Selective Sensing Material for Non-Invasive Detection of Acetone Using a Quartz Crystal Microbalance

by Wenyan Tao^1,2, Peng Lin^1,*, Sili Liu³, Qingji Xie⁴, Shanming Ke¹ and Xierong Zeng^1,2,*

¹ Shenzhen Key Laboratory of Special Functional Materials & Shenzhen Engineering Laboratory for Advance Technology of Ceramics, College of Materials Science and Engineering, Shenzhen University, Shenzhen 510081, China

² Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China

³ Department of Biomedical Engineering, the Chinese University of Hong Kong, Shatin, Hong Kong 999077, China

⁴ College of Chemistry and Chemical Engineering, Hunan Normal University, Changsha 410082, China

Sensors 2017, 17(1), 194; https://doi.org/10.3390/s17010194 - 20 Jan 2017

Cited by 19 | Viewed by 6036

Abstract

Breath acetone serves as a biomarker for diabetes. This article reports 1-butyl-3-methylimidazolium tetrafluoroborate ([bmim][BF₄]), a type of room temperature ionic liquid (RTIL), as a selective sensing material for acetone. The RTIL sensing layer was coated on a quartz crystal microbalance (QCM) [...] Read more.

Breath acetone serves as a biomarker for diabetes. This article reports 1-butyl-3-methylimidazolium tetrafluoroborate ([bmim][BF₄]), a type of room temperature ionic liquid (RTIL), as a selective sensing material for acetone. The RTIL sensing layer was coated on a quartz crystal microbalance (QCM) for detection. The sensing mechanism is based on a decrease in viscosity and density of the [bmim][BF₄] film due to the solubilization of acetone leading to a positive frequency shift in the QCM. Acetone was detected with a linear range from 7.05 to 750 ppmv. Sensitivity and limit of detection were found to be 3.49 Hz/ppmv and 5.0 ppmv, respectively. The [bmim][BF₄]-modified QCM sensor demonstrated anti-interference ability to commonly found volatile organic compounds in breath, e.g., isoprene, 1,2-pentadiene, d-limonene, and dl-limonene. This technology is useful for applications in non-invasive early diabetic diagnosis. Full article

(This article belongs to the Section Chemical Sensors)

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16 pages, 2942 KiB

Open AccessArticle

Synthetic Aperture Radar Target Recognition with Feature Fusion Based on a Stacked Autoencoder

by Miao Kang¹, Kefeng Ji^1,*, Xiangguang Leng¹

, Xiangwei Xing² and Huanxin Zou¹

¹ School of Electronic Science and Engineering, National University of Defense Technology, Sanyi Avenue, Changsha 410073, China

² Beijing Institute of Remote Sensing Information, Beijing 100192, China

Sensors 2017, 17(1), 192; https://doi.org/10.3390/s17010192 - 20 Jan 2017

Cited by 111 | Viewed by 8667

Abstract

Feature extraction is a crucial step for any automatic target recognition process, especially in the interpretation of synthetic aperture radar (SAR) imagery. In order to obtain distinctive features, this paper proposes a feature fusion algorithm for SAR target recognition based on a stacked [...] Read more.

Feature extraction is a crucial step for any automatic target recognition process, especially in the interpretation of synthetic aperture radar (SAR) imagery. In order to obtain distinctive features, this paper proposes a feature fusion algorithm for SAR target recognition based on a stacked autoencoder (SAE). The detailed procedure presented in this paper can be summarized as follows: firstly, 23 baseline features and Three-Patch Local Binary Pattern (TPLBP) features are extracted. These features can describe the global and local aspects of the image with less redundancy and more complementarity, providing richer information for feature fusion. Secondly, an effective feature fusion network is designed. Baseline and TPLBP features are cascaded and fed into a SAE. Then, with an unsupervised learning algorithm, the SAE is pre-trained by greedy layer-wise training method. Capable of feature expression, SAE makes the fused features more distinguishable. Finally, the model is fine-tuned by a softmax classifier and applied to the classification of targets. 10-class SAR targets based on Moving and Stationary Target Acquisition and Recognition (MSTAR) dataset got a classification accuracy up to 95.43%, which verifies the effectiveness of the presented algorithm. Full article

(This article belongs to the Section Remote Sensors)

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14 pages, 9259 KiB

Open AccessArticle

Euro Banknote Recognition System for Blind People

by Larisa Dunai Dunai^1,*

, Mónica Chillarón Pérez², Guillermo Peris-Fajarnés¹ and Ismael Lengua Lengua¹

¹ Research Center in Graphic Technology, Universitat Politècnica de València, Camino de Vera s/n, 5L, Valencia 46022, Spain

² Department DSIC, Universitat Politecnica de Valencia, Valencia 46022, Spain

Sensors 2017, 17(1), 184; https://doi.org/10.3390/s17010184 - 20 Jan 2017

Cited by 33 | Viewed by 12703

Abstract

This paper presents the development of a portable system with the aim of allowing blind people to detect and recognize Euro banknotes. The developed device is based on a Raspberry Pi electronic instrument and a Raspberry Pi camera, Pi NoIR (No Infrared filter) [...] Read more.

This paper presents the development of a portable system with the aim of allowing blind people to detect and recognize Euro banknotes. The developed device is based on a Raspberry Pi electronic instrument and a Raspberry Pi camera, Pi NoIR (No Infrared filter) dotted with additional infrared light, which is embedded into a pair of sunglasses that permit blind and visually impaired people to independently handle Euro banknotes, especially when receiving their cash back when shopping. The banknote detection is based on the modified Viola and Jones algorithms, while the banknote value recognition relies on the Speed Up Robust Features (SURF) technique. The accuracies of banknote detection and banknote value recognition are 84% and 97.5%, respectively. Full article

(This article belongs to the Special Issue State-of-the-Art Sensors Technology in Spain 2016)

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12 pages, 3201 KiB

Open AccessArticle

Au-Graphene Hybrid Plasmonic Nanostructure Sensor Based on Intensity Shift

by Raed Alharbi

, Mehrdad Irannejad^* and Mustafa Yavuz

Waterloo Institute for Nanotechnology, University of Waterloo, Waterloo, ON N2L 3G1, Canada

Sensors 2017, 17(1), 191; https://doi.org/10.3390/s17010191 - 19 Jan 2017

Cited by 11 | Viewed by 7241

Abstract

Integrating plasmonic materials, like gold with a two-dimensional material (e.g., graphene) enhances the light-material interaction and, hence, plasmonic properties of the metallic nanostructure. A localized surface plasmon resonance sensor is an effective platform for biomarker detection. They offer a better bulk surface (local) [...] Read more.

Integrating plasmonic materials, like gold with a two-dimensional material (e.g., graphene) enhances the light-material interaction and, hence, plasmonic properties of the metallic nanostructure. A localized surface plasmon resonance sensor is an effective platform for biomarker detection. They offer a better bulk surface (local) sensitivity than a regular surface plasmon resonance (SPR) sensor; however, they suffer from a lower figure of merit compared to that one in a propagating surface plasmon resonance sensors. In this work, a decorated multilayer graphene film with an Au nanostructures was proposed as a liquid sensor. The results showed a significant improvement in the figure of merit compared with other reported localized surface plasmon resonance sensors. The maximum figure of merit and intensity sensitivity of 240 and 55 RIU⁻¹ (refractive index unit) at refractive index change of 0.001 were achieved which indicate the capability of the proposed sensor to detect a small change in concentration of liquids in the ng/mL level which is essential in early-stage cancer disease detection. Full article

(This article belongs to the Special Issue MEMS and Nano-Sensors)

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14 pages, 855 KiB

Open AccessArticle

A Low-Complexity Method for Two-Dimensional Direction-of-Arrival Estimation Using an L-Shaped Array

by Qing Wang¹, Hang Yang¹, Hua Chen^1,*, Yangyang Dong²

and Laihua Wang³

¹ School of Electrical and Information Engineering, Tianjin University, 92 Weijin Road, Tianjin 300072, China

² Key Laboratory of Electronic Information Countermeasure and Simulation Technology, Ministry of Education, Xidian University, Xi’an 710071, China

³ School of Software, Qufu Normal University, Qufu 273165, China

Sensors 2017, 17(1), 190; https://doi.org/10.3390/s17010190 - 19 Jan 2017

Cited by 24 | Viewed by 5710

Abstract

In this paper, a new low-complexity method for two-dimensional (2D) direction-of-arrival (DOA) estimation is proposed. Based on a cross-correlation matrix formed from the L-shaped array, the proposed algorithm obtains the automatic pairing elevation and azimuth angles without eigendecomposition, which can avoid high computational [...] Read more.

In this paper, a new low-complexity method for two-dimensional (2D) direction-of-arrival (DOA) estimation is proposed. Based on a cross-correlation matrix formed from the L-shaped array, the proposed algorithm obtains the automatic pairing elevation and azimuth angles without eigendecomposition, which can avoid high computational cost. In addition, the cross-correlation matrix eliminates the effect of noise, which can achieve better DOA performance. Then, the theoretical error of the algorithm is analyzed and the Cramer–Rao bound (CRB) for the direction of arrival estimation is derived . Simulation results demonstrate that, at low signal-to-noise ratios (SNRs) and with a small number of snapshots, in contrast to Tayem’s algorithm and Kikuchi’s algorithm, the proposed algorithm achieves better DOA performance with lower complexity, while, for Gu’s algorithm, the proposed algorithm has slightly inferior DOA performance but with significantly lower complexity. Full article

(This article belongs to the Section Physical Sensors)

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16 pages, 4502 KiB

Open AccessArticle

Underwater Electromagnetic Sensor Networks—Part I: Link Characterization

by Gara Quintana-Díaz^1,*, Pablo Mena-Rodríguez^1,2, Iván Pérez-Álvarez¹

, Eugenio Jiménez¹

, Blas-Pablo Dorta-Naranjo¹, Santiago Zazo², Marina Pérez², Eduardo Quevedo³

, Laura Cardona³ and J. Joaquín Hernández³

¹ Instituto para el Desarrollo Tecnológico y la Innovación en Comunicaciones (IDeTIC), Universidad de Las Palmas de Gran Canaria (ULPGC), 35017 Las Palmas, Spain

² Escuela Técnica Superior de Ingenieros de Telecomunicación (ETSIT) – C-303, Universidad Politécnica de Madrid (UPM), Av. Complutense 30, 28040 Madrid, Spain

³ Plataforma Oceánica de Canarias (PLOCAN), 35214 Telde, Spain

Sensors 2017, 17(1), 189; https://doi.org/10.3390/s17010189 - 19 Jan 2017

Cited by 18 | Viewed by 8490

Abstract

Underwater Wireless Sensor Networks (UWSNs) using electromagnetic (EM) technology in marine shallow waters are examined, not just for environmental monitoring but for further interesting applications. Particularly, the use of EM waves is reconsidered in shallow waters due to the benefits offered in this [...] Read more.

Underwater Wireless Sensor Networks (UWSNs) using electromagnetic (EM) technology in marine shallow waters are examined, not just for environmental monitoring but for further interesting applications. Particularly, the use of EM waves is reconsidered in shallow waters due to the benefits offered in this context, where acoustic and optical technologies have serious disadvantages. Sea water scenario is a harsh environment for radiocommunications, and there is no standard model for the underwater EM channel. The high conductivity of sea water, the effect of seabed and the surface make the behaviour of the channel hard to predict. This justifies the need of link characterization as the first step to approach the development of EM underwater sensor networks. To obtain a reliable link model, measurements and simulations are required. The measuring setup for this purpose is explained and described, as well as the procedures used. Several antennas have been designed and tested in low frequency bands. Agreement between attenuation measurements and simulations at different distances was analysed and made possible the validation of simulation setups and the design of different communications layers of the system. This leads to the second step of this work, where data and routing protocols for the sensor network are examined. Full article

(This article belongs to the Special Issue Sensing Technologies for Autonomy and Cooperation in Underwater Networked Robot Systems)

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