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Special Issue "Selected Papers from IEEE ICASI 2017"

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

Deadline for manuscript submissions: closed (31 October 2017)

Special Issue Editors

Guest Editor
Prof. Dr. Shoou-Jinn Chang

Department of Electrical Engineering, National Cheng Kung University, Tainan 701, Taiwan
Website | E-Mail
Interests: optical and electronic devices, semi-conductive materials, nanotechnology
Guest Editor
Prof. Dr. Teen­Hang Meen

Chair of IEEE Tainan Section Sensors Council Department of Electronic Engineering National Formosa University, Yunlin 632
Website | E-Mail
Interests: photovoltaic device; dye-sensitized solar cells; nanotechnology
Guest Editor
Dr. Stephen D. Prior

Aeronautics, Astronautics and Computational Engineering, University of Southampton, Southampton SO16 7QF, UK
Website | E-Mail
Interests: microsystem design; nanotechnology

Special Issue Information

Dear Colleagues,

2017 IEEE International Conference on Applied System Innovation (IEEE ICASI 2017) will be held in Sapporo, Japan on May 13~17, 2017, and will provide a unified communication platform for topics of sensors. In recent years, applications of advanced materials on microelectronic and optical sensors have been a highly developing field. Due to the flexibility and light weight for daily use, it has the potential to be deployable. The scopes of IEEE ICASI 2017 are not only encompasses material sizes at the nanoscale, but also in various dimensions where the onset of size dependent phenomena usually enables novel applications.

This special issue selects excellent papers from IEEE ICASI 2017 and covers fundamental materials of electrical and optical engineering including their synthesis engineering, integration with many elements, designing of electrical or optical devices, evaluation of various performances and exploring their broad applications from industry, environmental control, material analysis etc. We invite investigators to contribute original research articles as well as review articles that will stimulate the continuing efforts to understand the microelectronic and optical sensors. Potential topics include, but are not limited to:

  • Advanced materials with new electronic and optical properties
  • Advanced materials for preparation and applications
  • Subjects related to electro-optical thin films and coatings
  • Synthesis engineering in advanced materials
  • Properties of microelectronic and optical sensors

Prof. Dr. Shoou­Jinn Chang
Prof. Dr. Teen­Hang Meen
Dr. Stephen D. Prior 
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.

Schedule

Manuscript Due: October 31, 2017
First Round of Reviews: November 30, 2017
Second Round of Reviews: January 31, 2018
Acceptance of Final papers and Publication: March 1, 2018

Keywords

  • advanced materials
  • microelectronic devices
  • optical sensors

Published Papers (8 papers)

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Displaying articles 1-8
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Research

Open AccessArticle
Design and Development of a Wearable Device for Heat Stroke Detection
Sensors 2018, 18(1), 17; https://doi.org/10.3390/s18010017
Received: 31 October 2017 / Revised: 18 December 2017 / Accepted: 19 December 2017 / Published: 22 December 2017
Cited by 3 | PDF Full-text (8675 KB) | HTML Full-text | XML Full-text
Abstract
Heat stroke can be potentially damaging for people while exercising in hot environments. To prevent this dangerous situation, we designed a wearable heat-stroke-detection device (WHDD) with early notification ability. First, we used several physical sensors, such as galvanic skin response (GSR), heart beat, [...] Read more.
Heat stroke can be potentially damaging for people while exercising in hot environments. To prevent this dangerous situation, we designed a wearable heat-stroke-detection device (WHDD) with early notification ability. First, we used several physical sensors, such as galvanic skin response (GSR), heart beat, and body temperature, to acquire medical data from exercising people. In addition, we designed risk evaluation functional components that were based on fuzzy theory to detect the features of heat stroke for users. If a dangerous situation is detected, then the device will activate the alert function to remind the user to respond adequately to avoid heat stroke. Full article
(This article belongs to the Special Issue Selected Papers from IEEE ICASI 2017)
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Open AccessArticle
Improving Night Time Driving Safety Using Vision-Based Classification Techniques
Sensors 2017, 17(10), 2199; https://doi.org/10.3390/s17102199
Received: 17 August 2017 / Revised: 19 September 2017 / Accepted: 20 September 2017 / Published: 24 September 2017
Cited by 4 | PDF Full-text (9373 KB) | HTML Full-text | XML Full-text
Abstract
The risks involved in nighttime driving include drowsy drivers and dangerous vehicles. Prominent among the more dangerous vehicles around at night are the larger vehicles which are usually moving faster at night on a highway. In addition, the risk level of driving around [...] Read more.
The risks involved in nighttime driving include drowsy drivers and dangerous vehicles. Prominent among the more dangerous vehicles around at night are the larger vehicles which are usually moving faster at night on a highway. In addition, the risk level of driving around larger vehicles rises significantly when the driver’s attention becomes distracted, even for a short period of time. For the purpose of alerting the driver and elevating his or her safety, in this paper we propose two components for any modern vision-based Advanced Drivers Assistance System (ADAS). These two components work separately for the single purpose of alerting the driver in dangerous situations. The purpose of the first component is to ascertain that the driver would be in a sufficiently wakeful state to receive and process warnings; this is the driver drowsiness detection component. The driver drowsiness detection component uses infrared images of the driver to analyze his eyes’ movements using a MSR plus a simple heuristic. This component issues alerts to the driver when the driver’s eyes show distraction and are closed for a longer than usual duration. Experimental results show that this component can detect closed eyes with an accuracy of 94.26% on average, which is comparable to previous results using more sophisticated methods. The purpose of the second component is to alert the driver when the driver’s vehicle is moving around larger vehicles at dusk or night time. The large vehicle detection component accepts images from a regular video driving recorder as input. A bi-level system of classifiers, which included a novel MSR-enhanced KAZE-base Bag-of-Features classifier, is proposed to avoid false negatives. In both components, we propose an improved version of the Multi-Scale Retinex (MSR) algorithm to augment the contrast of the input. Several experiments were performed to test the effects of the MSR and each classifier, and the results are presented in experimental results section of this paper. Full article
(This article belongs to the Special Issue Selected Papers from IEEE ICASI 2017)
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Open AccessArticle
Tilted Fiber Bragg Grating Sensor with Graphene Oxide Coating for Humidity Sensing
Sensors 2017, 17(9), 2129; https://doi.org/10.3390/s17092129
Received: 8 August 2017 / Revised: 8 September 2017 / Accepted: 14 September 2017 / Published: 15 September 2017
Cited by 11 | PDF Full-text (8023 KB) | HTML Full-text | XML Full-text
Abstract
In this study, we propose a tilted fiber Bragg grating (TFBG) humidity sensor fabricated using the phase mask method to produce a TFBG that was then etched with five different diameters of 20, 35, 50, 55 and 60 μm, after which piezoelectric inkjet [...] Read more.
In this study, we propose a tilted fiber Bragg grating (TFBG) humidity sensor fabricated using the phase mask method to produce a TFBG that was then etched with five different diameters of 20, 35, 50, 55 and 60 μm, after which piezoelectric inkjet technology was used to coat the grating with graphene oxide. According to the experimental results, the diameter of 20 μm yielded the best sensitivity. In addition, the experimental results showed that the wavelength sensitivity was −0.01 nm/%RH and the linearity was 0.996. Furthermore, the measurement results showed that when the relative humidity was increased, the refractive index of the sensor was decreased, meaning that the TFBG cladding mode spectrum wavelength was shifted. Therefore, the proposed graphene oxide film TFBG humidity sensor has good potential to be an effective relative humidity monitor. Full article
(This article belongs to the Special Issue Selected Papers from IEEE ICASI 2017)
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Open AccessArticle
Indoor Scene Point Cloud Registration Algorithm Based on RGB-D Camera Calibration
Sensors 2017, 17(8), 1874; https://doi.org/10.3390/s17081874
Received: 13 July 2017 / Revised: 10 August 2017 / Accepted: 10 August 2017 / Published: 15 August 2017
Cited by 2 | PDF Full-text (31445 KB) | HTML Full-text | XML Full-text
Abstract
With the increasing popularity of RGB-depth (RGB-D) sensor, research on the use of RGB-D sensors to reconstruct three-dimensional (3D) indoor scenes has gained more and more attention. In this paper, an automatic point cloud registration algorithm is proposed to efficiently handle the task [...] Read more.
With the increasing popularity of RGB-depth (RGB-D) sensor, research on the use of RGB-D sensors to reconstruct three-dimensional (3D) indoor scenes has gained more and more attention. In this paper, an automatic point cloud registration algorithm is proposed to efficiently handle the task of 3D indoor scene reconstruction using pan-tilt platforms on a fixed position. The proposed algorithm aims to align multiple point clouds using extrinsic parameters of the RGB-D camera obtained from every preset pan-tilt control point. A computationally efficient global registration method is proposed based on transformation matrices formed by the offline calibrated extrinsic parameters. Then, a local registration method, which is an optional operation in the proposed algorithm, is employed to refine the preliminary alignment result. Experimental results validate the quality and computational efficiency of the proposed point cloud alignment algorithm by comparing it with two state-of-the-art methods. Full article
(This article belongs to the Special Issue Selected Papers from IEEE ICASI 2017)
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Open AccessArticle
Design and Implementation of a Smart Home System Using Multisensor Data Fusion Technology
Sensors 2017, 17(7), 1631; https://doi.org/10.3390/s17071631
Received: 16 June 2017 / Revised: 10 July 2017 / Accepted: 11 July 2017 / Published: 15 July 2017
Cited by 13 | PDF Full-text (9799 KB) | HTML Full-text | XML Full-text
Abstract
This paper aims to develop a multisensor data fusion technology-based smart home system by integrating wearable intelligent technology, artificial intelligence, and sensor fusion technology. We have developed the following three systems to create an intelligent smart home environment: (1) a wearable motion sensing [...] Read more.
This paper aims to develop a multisensor data fusion technology-based smart home system by integrating wearable intelligent technology, artificial intelligence, and sensor fusion technology. We have developed the following three systems to create an intelligent smart home environment: (1) a wearable motion sensing device to be placed on residents’ wrists and its corresponding 3D gesture recognition algorithm to implement a convenient automated household appliance control system; (2) a wearable motion sensing device mounted on a resident’s feet and its indoor positioning algorithm to realize an effective indoor pedestrian navigation system for smart energy management; (3) a multisensor circuit module and an intelligent fire detection and alarm algorithm to realize a home safety and fire detection system. In addition, an intelligent monitoring interface is developed to provide in real-time information about the smart home system, such as environmental temperatures, CO concentrations, communicative environmental alarms, household appliance status, human motion signals, and the results of gesture recognition and indoor positioning. Furthermore, an experimental testbed for validating the effectiveness and feasibility of the smart home system was built and verified experimentally. The results showed that the 3D gesture recognition algorithm could achieve recognition rates for automated household appliance control of 92.0%, 94.8%, 95.3%, and 87.7% by the 2-fold cross-validation, 5-fold cross-validation, 10-fold cross-validation, and leave-one-subject-out cross-validation strategies. For indoor positioning and smart energy management, the distance accuracy and positioning accuracy were around 0.22% and 3.36% of the total traveled distance in the indoor environment. For home safety and fire detection, the classification rate achieved 98.81% accuracy for determining the conditions of the indoor living environment. Full article
(This article belongs to the Special Issue Selected Papers from IEEE ICASI 2017)
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Open AccessArticle
A Wi-Fi Union Mechanism for Internet Advertising Reciprocal Platform in Microenterprises
Sensors 2017, 17(7), 1617; https://doi.org/10.3390/s17071617
Received: 26 May 2017 / Revised: 8 July 2017 / Accepted: 10 July 2017 / Published: 13 July 2017
Cited by 1 | PDF Full-text (3297 KB) | HTML Full-text | XML Full-text
Abstract
With the evolution of the Internet and smartphone devices, Internet advertising has become one of the most important methods for delivering promotional marketing messages to customers. However, the efficiency of Internet advertising for microenterprise is not very high, since Wi-Fi advertising—which is limited [...] Read more.
With the evolution of the Internet and smartphone devices, Internet advertising has become one of the most important methods for delivering promotional marketing messages to customers. However, the efficiency of Internet advertising for microenterprise is not very high, since Wi-Fi advertising—which is limited by a small router coverage area—is mainly used. Moreover, because of the lack of money, microenterprises have been using low-cost methods to promote their products. Thus, enhancing the effectiveness of Wi-Fi advertising, and solving the problem of cost and the range of the views are now an essential investigation in this study. In this paper, we propose a reciprocal model with Wi-Fi union mechanism for Internet advertising based on fog computing architecture to enhance the efficiency of advertisement, reduce the cost, and increase the range of the views for microenterprise by using the Internet. In particular, the system was built in advertisers’, publishers’, and consumers’ sides. In our system, we use contribution point (CP) as an exchange value among the participants. Advertisers and publishers can get CP by helping the others in the system to promote their advertisements, increasing their CP by one unit. Similarly, advertisers and publishers can use their CP to ask for assistance from the others, decreasing their CP by one unit. The result shows that the system in a Wi-Fi union is easy to use, and advertisements can be seen by all customers who are using free Wi-Fi from the stores of the union. This method can solve the problem of cost and fixed consumer groups. Full article
(This article belongs to the Special Issue Selected Papers from IEEE ICASI 2017)
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Open AccessArticle
An Efficient User Authentication and User Anonymity Scheme with Provably Security for IoT-Based Medical Care System
Sensors 2017, 17(7), 1482; https://doi.org/10.3390/s17071482
Received: 28 May 2017 / Revised: 21 June 2017 / Accepted: 21 June 2017 / Published: 23 June 2017
Cited by 13 | PDF Full-text (483 KB) | HTML Full-text | XML Full-text
Abstract
In recent years, with the increase in degenerative diseases and the aging population in advanced countries, demands for medical care of older or solitary people have increased continually in hospitals and healthcare institutions. Applying wireless sensor networks for the IoT-based telemedicine system enables [...] Read more.
In recent years, with the increase in degenerative diseases and the aging population in advanced countries, demands for medical care of older or solitary people have increased continually in hospitals and healthcare institutions. Applying wireless sensor networks for the IoT-based telemedicine system enables doctors, caregivers or families to monitor patients’ physiological conditions at anytime and anyplace according to the acquired information. However, transmitting physiological data through the Internet concerns the personal privacy of patients. Therefore, before users can access medical care services in IoT-based medical care system, they must be authenticated. Typically, user authentication and data encryption are most critical for securing network communications over a public channel between two or more participants. In 2016, Liu and Chung proposed a bilinear pairing-based password authentication scheme for wireless healthcare sensor networks. They claimed their authentication scheme cannot only secure sensor data transmission, but also resist various well-known security attacks. In this paper, we demonstrate that Liu–Chung’s scheme has some security weaknesses, and we further present an improved secure authentication and data encryption scheme for the IoT-based medical care system, which can provide user anonymity and prevent the security threats of replay and password/sensed data disclosure attacks. Moreover, we modify the authentication process to reduce redundancy in protocol design, and the proposed scheme is more efficient in performance compared with previous related schemes. Finally, the proposed scheme is provably secure in the random oracle model under ECDHP. Full article
(This article belongs to the Special Issue Selected Papers from IEEE ICASI 2017)
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Open AccessArticle
A Comprehensive Study on the Internet of Underwater Things: Applications, Challenges, and Channel Models
Sensors 2017, 17(7), 1477; https://doi.org/10.3390/s17071477
Received: 5 May 2017 / Revised: 10 June 2017 / Accepted: 20 June 2017 / Published: 22 June 2017
Cited by 13 | PDF Full-text (1060 KB) | HTML Full-text | XML Full-text
Abstract
The Internet of Underwater Things (IoUT) is a novel class of Internet of Things (IoT), and is defined as the network of smart interconnected underwater objects. IoUT is expected to enable various practical applications, such as environmental monitoring, underwater exploration, and disaster prevention. [...] Read more.
The Internet of Underwater Things (IoUT) is a novel class of Internet of Things (IoT), and is defined as the network of smart interconnected underwater objects. IoUT is expected to enable various practical applications, such as environmental monitoring, underwater exploration, and disaster prevention. With these applications, IoUT is regarded as one of the potential technologies toward developing smart cities. To support the concept of IoUT, Underwater Wireless Sensor Networks (UWSNs) have emerged as a promising network system. UWSNs are different from the traditional Territorial Wireless Sensor Networks (TWSNs), and have several unique properties, such as long propagation delay, narrow bandwidth, and low reliability. These unique properties would be great challenges for IoUT. In this paper, we provide a comprehensive study of IoUT, and the main contributions of this paper are threefold: (1) we introduce and classify the practical underwater applications that can highlight the importance of IoUT; (2) we point out the differences between UWSNs and traditional TWSNs, and these differences are the main challenges for IoUT; and (3) we investigate and evaluate the channel models, which are the technical core for designing reliable communication protocols on IoUT. Full article
(This article belongs to the Special Issue Selected Papers from IEEE ICASI 2017)
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