E-Mail Alert

Add your e-mail address to receive forthcoming issues of this journal:

Journal Browser

Journal Browser

Special Issue "Advanced Sensors for Real-Time Monitoring Applications"

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

Deadline for manuscript submissions: 31 October 2019

Special Issue Editors

Guest Editor
Dr. Olga Korostynska

Faculty of Science and Technology, Norwegian University of Life Sciences, 1433 Ås, Norway
Website | E-Mail
Interests: sensors for real-time monitoring of water quality, pH, phosphates, nitrates, bromide, chlorides, pesticides, and bacteria; alcohol and drug metabolites; food quality monitoring; electromagnetic waves; optical and semiconductor sensors; sensors manufacture technologies; material properties for sensing applications; thin and thick film technology; polymers and mixed oxide film sensors; humidity, pressure, and strain gauges with a focus on miniaturised sensors for medical applications
Guest Editor
Dr. Alex Mason

Faculty of Science and Technology, Norwegian University of Life Sciences, 1433 Ås, Norway
Website | E-Mail
Interests: development of sensor technologies for use in the meat value chain; robotics and automation; livestock management, behaviour analysis, EEG measurement, well-being monitoring, and control; asset tracking technologies and supply chain management; microwave spectroscopy, and development of microwave-based sensors for industrial and medical applications; wireless sensor networks (WSN) and systems; environmental and structural health monitoring; wearable sensor systems; building performance and occupancy monitoring; algal growth, yield, and composition enhancement and sensing

Special Issue Information

Dear Colleagues,

It is impossible to imagine the modern world without sensors, or without real-time information about almost everything: from local temperature to material composition and health parameters – we sense, measure, process data, and act accordingly all the time. In fact, real-time monitoring and information is key to a successful business, an assistant in life-saving decisions that healthcare professionals make, and a tool in research that could revolutionize the future.

To ensure that sensors address the rapidly developing needs of various areas of our lives and activities, scientists, researchers, manufacturers, and end-users need to establish an efficient dialogue so that the newest technological achievements in all aspects of real-time sensing can be implemented for the benefit of the wider community. This Special Issue aims to provide a platform for such a dialogue and invites authors to submit high-quality manuscripts reporting on advances in sensors and sensor systems for existing and emerging real-time monitoring applications. Topics include, but are not limited to, the following:

  • Real-time sensing for cognitive mechatronics;
  • Real-time monitoring of environmental conditions: air, water, and soil pollution sensors;
  • Optical, acoustic, and electromagnetic wave sensing;
  • Sustainable agriculture: sensors and robots for a green future;
  • Animal health monitoring and sensors for the food industry;
  • Real-time sensing in diagnostics, treatment, and rehabilitation;
  • Real-time monitoring for assisting living;
  • Novel applications of real-time monitoring sensing systems;
  • Efficient data processing, simulation validation;
  • Novel sensing materials and principles.

Submitted articles should not have been previously published or currently under review by other journals or conferences/symposia/workshops. Papers previously published as part of conference/workshop proceedings can be considered for publication in the Special Issue provided that they are modified to contain at least 40% new content. Authors of such submissions must clearly indicate how the journal version of their paper has been extended in a separate letter to the guest editors at the time of submission. Moreover, authors must acknowledge their previous paper in the manuscript and resolve any potential copyright issues prior to submission.

We are looking forward to your exciting papers!

Dr. Olga Korostynska
Dr. Alex Mason
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 papers will be 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 1800 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.

Keywords

  • Real-time monitoring
  • Advanced sensors and sensing systems
  • Novel monitoring principles
  • Advanced sensing materials
  • Data processing for sensor networks
  • Sensors performance benchmarking: simulation vs validation
  • Emerging novel sensor applications

Published Papers (4 papers)

View options order results:
result details:
Displaying articles 1-4
Export citation of selected articles as:

Research

Open AccessArticle
An Innovative Ultrasonic Apparatus and Technology for Diagnosis of Freeze-Drying Process
Sensors 2019, 19(9), 2181; https://doi.org/10.3390/s19092181
Received: 17 April 2019 / Revised: 7 May 2019 / Accepted: 8 May 2019 / Published: 11 May 2019
PDF Full-text (3577 KB) | HTML Full-text | XML Full-text
Abstract
The freeze-drying process removes water from a product through freezing, sublimation and desorption procedures. However, the extreme conditions of the freeze-drying environment, such as the limited space, vacuum and freezing temperatures of as much as −50 °C, may block the ability to use [...] Read more.
The freeze-drying process removes water from a product through freezing, sublimation and desorption procedures. However, the extreme conditions of the freeze-drying environment, such as the limited space, vacuum and freezing temperatures of as much as −50 °C, may block the ability to use certain diagnostic sensors. In this paper, an ultrasonic transducer (UT) is integrated onto the bottom of a specially designed frozen bottle for the purpose of observing the freeze-drying process of water at varying amounts. The temperatures and visual observations made with a camera are then compared with the corresponding ultrasonic signatures. Among all of the diagnostic tools and technologies available, only ultrasonic and visual records are able to analyze the entire progression of the freeze-drying process of water. Compared with typical experiment settings, the indication of drying point for water by the amplitude variations of ultrasonic L3 echo could reduce the process period and energy consumption. This study demonstrates how an innovative frozen bottle, an integrated ultrasonic sensor and diagnostic methods used to measure and optimize the freeze-drying process of water can save energy. Full article
(This article belongs to the Special Issue Advanced Sensors for Real-Time Monitoring Applications)
Figures

Figure 1

Open AccessArticle
On-Line Monitoring of Pipe Wall Thinning by a High Temperature Ultrasonic Waveguide System at the Flow Accelerated Corrosion Proof Facility
Sensors 2019, 19(8), 1762; https://doi.org/10.3390/s19081762
Received: 10 March 2019 / Revised: 28 March 2019 / Accepted: 8 April 2019 / Published: 12 April 2019
PDF Full-text (2302 KB) | HTML Full-text | XML Full-text
Abstract
Pipe wall thinning and leakage due to flow accelerated corrosion (FAC) are important safety concerns for nuclear power plants. A shear horizontal ultrasonic pitch/catch technique was developed for the accurate monitoring of the pipe wall-thickness. A solid couplant should be used to ensure [...] Read more.
Pipe wall thinning and leakage due to flow accelerated corrosion (FAC) are important safety concerns for nuclear power plants. A shear horizontal ultrasonic pitch/catch technique was developed for the accurate monitoring of the pipe wall-thickness. A solid couplant should be used to ensure high quality ultrasonic signals for a long operation time at an elevated temperature. We developed a high temperature ultrasonic thickness monitoring method using a pair of shear horizontal transducers and waveguide strips. A computer program for on-line monitoring of the pipe thickness at high temperature was also developed. Both a conventional buffer rod pulse-echo type and a developed shear horizontal ultrasonic waveguide type for a high temperature thickness monitoring system were successfully installed to test a section of the FAC proof test facility. The overall measurement error was estimated as ±15 μm during a cycle ranging from room temperature to 150 °C. The developed waveguide system was stable for about 3300 h and sensitive to changes in the internal flow velocity. This system can be used for high temperature thickness monitoring in all industries as well as nuclear power plants. Full article
(This article belongs to the Special Issue Advanced Sensors for Real-Time Monitoring Applications)
Figures

Figure 1

Open AccessArticle
Univariate and Multivariate Analysis of Phosphorus Element in Fertilizers Using Laser-Induced Breakdown Spectroscopy
Sensors 2019, 19(7), 1727; https://doi.org/10.3390/s19071727
Received: 5 March 2019 / Revised: 29 March 2019 / Accepted: 9 April 2019 / Published: 11 April 2019
PDF Full-text (1198 KB) | HTML Full-text | XML Full-text
Abstract
Rapid detection of phosphorus (P) element is beneficial to the control of compound fertilizer production process and is of great significance in the fertilizer industry. The aim of this work was to compare the univariate and multivariate analysis of phosphorus element in compound [...] Read more.
Rapid detection of phosphorus (P) element is beneficial to the control of compound fertilizer production process and is of great significance in the fertilizer industry. The aim of this work was to compare the univariate and multivariate analysis of phosphorus element in compound fertilizers and obtain a reliable and accurate method for rapid detection of phosphorus element. A total of 47 fertilizer samples were collected from the production line; 36 samples were used as a calibration set, and 11 samples were used as a prediction set. The univariate calibration curve was constructed by the intensity of characteristic line and the concentration of P. The linear correlation coefficient was 0.854 as the existence of the matrix effect. In order to eliminate the matrix effect, the internal standardization as the appropriate methodology was used to increase the accuracy. Using silicon (Si) element as an internal element, a linear correlation coefficient of 0.932 was obtained. Furthermore, the chemometrics model of partial least-squares regression (PLSR) was used to analysis the concentration of P in fertilizer. The correlation coefficient was 0.977 and 0.976 for the calibration set and prediction set, respectively. The results indicated that the LIBS technique coupled with PLSR could be a reliable and accurate method in the quantitative determination of P element in complex matrices like compound fertilizers. Full article
(This article belongs to the Special Issue Advanced Sensors for Real-Time Monitoring Applications)
Figures

Figure 1

Open AccessArticle
Quantified Activity Measurement for Medical Use in Movement Disorders through IR-UWB Radar Sensor
Sensors 2019, 19(3), 688; https://doi.org/10.3390/s19030688
Received: 31 December 2018 / Revised: 27 January 2019 / Accepted: 4 February 2019 / Published: 8 February 2019
PDF Full-text (1399 KB) | HTML Full-text | XML Full-text
Abstract
Movement disorders, such as Parkinson’s disease, dystonia, tic disorder, and attention-deficit/hyperactivity disorder (ADHD) are clinical syndromes with either an excess of movement or a paucity of voluntary and involuntary movements. As the assessment of most movement disorders depends on subjective rating scales and [...] Read more.
Movement disorders, such as Parkinson’s disease, dystonia, tic disorder, and attention-deficit/hyperactivity disorder (ADHD) are clinical syndromes with either an excess of movement or a paucity of voluntary and involuntary movements. As the assessment of most movement disorders depends on subjective rating scales and clinical observations, the objective quantification of activity remains a challenging area. The purpose of our study was to verify whether an impulse radio ultra-wideband (IR-UWB) radar sensor technique is useful for an objective measurement of activity. Thus, we proposed an activity measurement algorithm and quantitative activity indicators for clinical assistance, based on IR-UWB radar sensors. The received signals of the sensor are sufficiently sensitive to measure heart rate, and multiple sensors can be used together to track the positions of people. To measure activity using these two features, we divided movement into two categories. For verification, we divided these into several scenarios, depending on the amount of activity, and compared with an actigraphy sensor to confirm the clinical feasibility of the proposed indicators. The experimental environment is similar to the environment of the comprehensive attention test (CAT), but with the inclusion of the IR-UWB radar. The experiment was carried out, according to a predefined scenario. Experiments demonstrate that the proposed indicators can measure movement quantitatively, and can be used as a quantified index to clinically record and compare patient activity. Therefore, this study suggests the possibility of clinical application of radar sensors for standardized diagnosis. Full article
(This article belongs to the Special Issue Advanced Sensors for Real-Time Monitoring Applications)
Figures

Figure 1

Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top