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Special Issue "Selected Papers from IEEE ICKII 2018"

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

Deadline for manuscript submissions: closed (31 December 2018).

Special Issue Editors

Prof. Dr. Teen­-Hang Meen
Website
Guest Editor
Department of Electronic Engineering National Formosa University, Yunlin 632, Taiwan
Interests: photovoltaic device; dye-sensitized solar cells; nanotechnology
Special Issues and Collections in MDPI journals
Prof. Dr. Wenbing Zhao
Website
Guest Editor
Department of Electrical Engineering and Computer Science, Cleveland State University, Ohio, 44011, USA
Interests: human computer interaction; rehabilitation; computer vision; distributed systems
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

The 1st IEEE International Conference on Knowledge Innovation and Invention 2018 (IEEE ICKII 2018) will be held on Jeju Island, South Korea, 23–27 July, 2018, and will provide a unified communication platform for researchers on the topics of information technology, innovation design, communication science and engineering, industrial design, creative design, applied mathematics, computer science, electrical and electronic engineering, mechanical and automation engineering, green technology and architecture engineering, material science and other related fields. This Special Issue on “Selected papers from IEEE ICKII 2018” is expected to select excellent papers presented at IEEE ICKII 2018 on the topic of sensors in science and technology. It publishes reviews (including comprehensive reviews on the complete sensors products) and regular research papers. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. Full experimental details must be provided so that the results can be reproduced. We invite investigators to contribute original research articles, as well as review articles, to this Special Issue. Potential topics include, but are not limited to:

  • Electrochemical sensors/biosensors
  • Electrical and thermal-based sensors
  • Mass-sensitive and fiber-optic sensors
  • Optoelectronic and Photonic Sensors
  • Gas sensors
  • Sensor applications for food industry, medicine, pharmacy, environmental monitoring, corrosion, etc.
  • Sensor devices and sensor arrays/nano sensors
  • Analytical methods, modeling, readout and software for sensors
  • Sensor technology and new sensor principles

Prof. Dr. Teen­-Hang Meen
Prof. Dr. Wenbing Zhao
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 2000 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

  • electrical circuits and devices
  • computer science and engineering
  • communications and information processing
  • electrical engineering communications

Published Papers (4 papers)

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Research

Open AccessArticle
A Novel Infrared Temperature Measurement with Dual Mode Modulation of Thermopile Sensor
Sensors 2019, 19(2), 336; https://doi.org/10.3390/s19020336 - 15 Jan 2019
Abstract
Superior to the traditional infrared temperature sensing architecture including infrared sensor and thermistor, we propose a novel sensing approach based on a single thermopile sensor with dual modes modulation. A switching and sensing circuit is proposed and realized with a chopper amplifier AD8551 [...] Read more.
Superior to the traditional infrared temperature sensing architecture including infrared sensor and thermistor, we propose a novel sensing approach based on a single thermopile sensor with dual modes modulation. A switching and sensing circuit is proposed and realized with a chopper amplifier AD8551 and p-channel MOSFET (PMOS) for switching between detection of thermal radiation and the target and the ambient temperature for compensation. The error of target temperature after temperature compensation is estimated at less than 0.14 °C. Full article
(This article belongs to the Special Issue Selected Papers from IEEE ICKII 2018)
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Open AccessArticle
Design of a Measurement System for Six-Degree-of-Freedom Geometric Errors of a Linear Guide of a Machine Tool
Sensors 2019, 19(1), 5; https://doi.org/10.3390/s19010005 - 20 Dec 2018
Cited by 6
Abstract
This paper proposes a system utilizing a Renishaw XL80 positioning error measuring interferometer and sensitivity analysis design to measure six-degree-of-freedom (6 DOF) geometric errors of a machine tool’s linear guide. Each error is characterized by high independence with significantly reduced crosstalk, and error [...] Read more.
This paper proposes a system utilizing a Renishaw XL80 positioning error measuring interferometer and sensitivity analysis design to measure six-degree-of-freedom (6 DOF) geometric errors of a machine tool’s linear guide. Each error is characterized by high independence with significantly reduced crosstalk, and error calculations are extremely fast and accurate. Initially, the real light path was simulated using Zemax. Then, Matlab’s skew ray tracing method was used to perform mathematical modeling and ray matching. Each error’s sensitivity to the sensor was then analyzed, and curve fitting was used to simplify and speed up the mathematical model computations. Finally, Solidworks was used to design the set of system modules, bringing the proposed system closer to a product. This system measured actual 6 DOF geometric errors of a machine tool’s linear guide, and a comparison is made with the Renishaw XL-80 interferometer measurements. The resulting pitch, yaw, horizontal straightness, and vertical straightness error deviation ranges are ±0.5 arcsec, ±3.6 arcsec, ±2.1 μm, and ±2.3 μm, respectively. The maximum repeatability deviations for the measured guide’s pitch, yaw, roll, horizontal straightness, vertical straightness, and positioning errors are 0.4 arcsec, 0.2 arcsec, 4.2 arcsec, 1.5 μm, 0.3 μm, and 3 μm, respectively. Full article
(This article belongs to the Special Issue Selected Papers from IEEE ICKII 2018)
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Open AccessArticle
A Passive Tracking System Based on Geometric Constraints in Adaptive Wireless Sensor Networks
Sensors 2018, 18(10), 3276; https://doi.org/10.3390/s18103276 - 29 Sep 2018
Cited by 3
Abstract
Target tracking technologies in wireless sensor network (WSNs) environments fall into two categories: active and passive schemes. Unlike with the active positioning schemes, in which the targets are required to hold cooperative devices, the research on passive tracking, i.e., tracking device-free targets, has [...] Read more.
Target tracking technologies in wireless sensor network (WSNs) environments fall into two categories: active and passive schemes. Unlike with the active positioning schemes, in which the targets are required to hold cooperative devices, the research on passive tracking, i.e., tracking device-free targets, has recently showed promise. In the WSN, device-free targets can be tracked by sensing radio frequency tomography (RFT) on the line-of-sight links (LOSLs). In this paper, we propose a passive tracking scheme exploiting both adaptive-networking LOSL webs and geometric constraint methodology for tracking single targets, as well as multiple targets. Regarding fundamental knowledge, we firstly explore the spatial diversity technique for RFT detection in realistic situations. Then, we analyze the power consumption of the WSN and propose an adaptive networking scheme for the purpose of energy conservation. Instead of maintaining a fixed LOSL density, the proposed scheme can adaptively adjust the networking level to save energy while guaranteeing tracking accuracy. The effectiveness of the proposed scheme is evaluated with computer simulations. According to the results, it is observed that the proposed scheme can sufficiently reduce power consumption, while providing qualified tracking performance. Full article
(This article belongs to the Special Issue Selected Papers from IEEE ICKII 2018)
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Open AccessArticle
Evaluation of the Accuracy of Bathymetry on the Nearshore Coastlines of Western Korea from Satellite Altimetry, Multi-Beam, and Airborne Bathymetric LiDAR
Sensors 2018, 18(9), 2926; https://doi.org/10.3390/s18092926 - 03 Sep 2018
Cited by 6
Abstract
Bathymetric mapping is traditionally implemented using shipborne single-beam, multi-beam, and side-scan sonar sensors. Procuring bathymetric data near coastlines using shipborne sensors is difficult, however, this type of data is important for maritime safety, marine territory management, climate change monitoring, and disaster preparedness. In [...] Read more.
Bathymetric mapping is traditionally implemented using shipborne single-beam, multi-beam, and side-scan sonar sensors. Procuring bathymetric data near coastlines using shipborne sensors is difficult, however, this type of data is important for maritime safety, marine territory management, climate change monitoring, and disaster preparedness. In recent years, the bathymetric light detection and ranging (LiDAR) technique has been tried to get seamless geospatial data from land to submarine topography. This paper evaluated the accuracy of bathymetry generated near coastlines from satellite altimetry-derived gravity anomalies and multi-beam bathymetry using a tuning density contrast of 5000 kg/m3 determined by the gravity-geologic method. Comparing with the predicted bathymetry of using only multi-beam depth data, 78% root mean square error from both multi-beam and airborne bathymetric LiDAR was improved in shallow waters of nearshore coastlines of the western Korea. As a result, the satellite-derived bathymetry estimated from the multi-beam and the airborne bathymetric LiDAR was enhanced to the accuracy of about 0.2 m. Full article
(This article belongs to the Special Issue Selected Papers from IEEE ICKII 2018)
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