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Selected Papers from IEEE ICKII 2019
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Selected Papers from IEEE ICKII 2019

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

Deadline for manuscript submissions: closed (31 December 2019) | Viewed by 27325

Special Issue Editors

Prof. Dr. Teen­-Hang Meen

E-Mail Website
Guest Editor
Department of Electronic Engineering National Formosa University, Yunlin 632, Taiwan
Interests: IOT devices; photovoltaic devices; STEM education
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Wenbing Zhao

E-Mail Website
Guest Editor
Department of Electrical Engineering and Computer Science, Cleveland State University, Cleveland, OH 44115, USA
Interests: fault-tolerant computing; computer and network security; peer-to-peer and grid computing; performance evaluation of distributed systems
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Cheng-Fu Yang

E-Mail Website
Guest Editor
Department of Aeronautical Engineering, Chaoyang University of Technology, Taichung 413, Taiwan
Interests: electronic ceramics; high-frequency communication materials; applied science
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The 2nd IEEE International Conference on Knowledge Innovation and Invention 2019 (IEEE ICKII 2019) will be held in Seoul, South Korea, on 12–15 July 2019, and it will provide a unified communication platform for researchers in 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, “Selected Papers from IEEE ICKII 2019”, is expected to select excellent papers presented at the IEEE ICKII 2019 on topics of sensors in science and technology. It will publish 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. The full experimental details must be provided so that the results can be reproduced. We invite investigators to contribute original research articles and review articles to this Special Issue. Potential topics include, but are not limited to, the following:

  • 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, and so on
  • Sensor devices and sensor arrays/nanosensors
  • Analytical methods, modeling, readout, and software for sensors
  • Sensor technology and new sensor principles

Prof. Dr. Teen­Hang Meen
Prof. Dr. Wenbing Zhao
Prof. Dr. Cheng-Fu Yang
Guest Editors

Manuscript Submission Information

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

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

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

Keywords

  • Electrochemical sensors/biosensors
  • Electrical and thermal-based sensors
  • Mass-sensitive and fiber-optic sensors
  • Optoelectronic and photonic sensors
  • Gas sensors

Published Papers (5 papers)

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Research

13 pages, 8105 KiB  
Article
Mechatronics and Remote Driving Control of the Drive-by-Wire for a Go Kart
by Chien-Hsun Wu, Wei-Chen Lin and Kun-Sheng Wang
Sensors 2020, 20(4), 1216; https://doi.org/10.3390/s20041216 - 23 Feb 2020
Cited by 1 | Viewed by 5028
Abstract
This research mainly aims at the construction of the novel acceleration pedal, the brake pedal and the steering system by mechanical designs and mechatronics technologies, an approach of which is rarely seen in Taiwan. Three highlights can be addressed: 1. The original steering [...] Read more.
This research mainly aims at the construction of the novel acceleration pedal, the brake pedal and the steering system by mechanical designs and mechatronics technologies, an approach of which is rarely seen in Taiwan. Three highlights can be addressed: 1. The original steering parts were removed with the fault tolerance design being implemented so that the basic steering function can still remain in case of the function failure of the control system. 2. A larger steering angle of the front wheels in response to a specific rotated angle of the steering wheel is devised when cornering or parking at low speed in interest of drivability, while a smaller one is designed at high speed in favor of driving stability. 3. The operating patterns of the throttle, brake, and steering wheel can be customized in accordance with various driving environments and drivers’ requirements using the self-developed software. The implementation of a steer-by-wire system in the remote driving control for a go kart is described in this study. The mechatronic system is designed in order to support the conversion from human driving to autonomous driving for the go kart in the future. The go kart, using machine vision, is wirelessly controlled in the WiFi frequency bands. The steer-by-wire system was initially modeled as a standalone system for one wheel and subsequently developed into its complete form, including front wheel steering components, acceleration components, brake components, a microcontroller, drive circuit and digital to analog converter. The control output section delivers the commands to the subsystem controllers, relays and converters. The remote driving control of the go kart is activated when proper commands are sent by the vehicle control unit (VCU). All simulation and experiment results demonstrated that the control strategies of duel motors and the VCU control were successfully optimized. The feasibility study and performance evaluation of Taiwan’s go karts will be conducted as an extension of this study in the near future. Full article
(This article belongs to the Special Issue Selected Papers from IEEE ICKII 2019)
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19 pages, 3596 KiB  
Article
Enhanced Human Activity Recognition Based on Smartphone Sensor Data Using Hybrid Feature Selection Model
by Nadeem Ahmed, Jahir Ibna Rafiq and Md Rashedul Islam
Sensors 2020, 20(1), 317; https://doi.org/10.3390/s20010317 - 06 Jan 2020
Cited by 135 | Viewed by 10126
Abstract
Human activity recognition (HAR) techniques are playing a significant role in monitoring the daily activities of human life such as elderly care, investigation activities, healthcare, sports, and smart homes. Smartphones incorporated with varieties of motion sensors like accelerometers and gyroscopes are widely used [...] Read more.
Human activity recognition (HAR) techniques are playing a significant role in monitoring the daily activities of human life such as elderly care, investigation activities, healthcare, sports, and smart homes. Smartphones incorporated with varieties of motion sensors like accelerometers and gyroscopes are widely used inertial sensors that can identify different physical conditions of human. In recent research, many works have been done regarding human activity recognition. Sensor data of smartphone produces high dimensional feature vectors for identifying human activities. However, all the vectors are not contributing equally for identification process. Including all feature vectors create a phenomenon known as ‘curse of dimensionality’. This research has proposed a hybrid method feature selection process, which includes a filter and wrapper method. The process uses a sequential floating forward search (SFFS) to extract desired features for better activity recognition. Features are then fed to a multiclass support vector machine (SVM) to create nonlinear classifiers by adopting the kernel trick for training and testing purpose. We validated our model with a benchmark dataset. Our proposed system works efficiently with limited hardware resource and provides satisfactory activity identification. Full article
(This article belongs to the Special Issue Selected Papers from IEEE ICKII 2019)
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14 pages, 7488 KiB  
Article
Development of Miniaturized Water Quality Monitoring System Using Wireless Communication
by Hsing-Cheng Yu, Ming-Yang Tsai, Yuan-Chih Tsai, Jhih-Jyun You, Chun-Lin Cheng, Jung-How Wang and Szu-Ju Li
Sensors 2019, 19(17), 3758; https://doi.org/10.3390/s19173758 - 30 Aug 2019
Cited by 9 | Viewed by 3970
Abstract
Recently, environmental pollution resulting from industrial waste has been emerging in an endless stream. The industrial waste contains chemical materials, heavy metal ions, and other toxic materials. Once the industrial waste is discharged without standards, it might lead to water or environmental pollution. [...] Read more.
Recently, environmental pollution resulting from industrial waste has been emerging in an endless stream. The industrial waste contains chemical materials, heavy metal ions, and other toxic materials. Once the industrial waste is discharged without standards, it might lead to water or environmental pollution. Hence, it has become more important to provide evidence-based water quality monitoring. The use of a multifunctional miniaturized water quality monitoring system (WQMS), that contains continuous monitoring, water quality monitoring, and wireless communication applications, simultaneously, is infrequent. Thus, electrodes integrated with polydimethylsiloxane flow channels were presented in this study to be a compound sensor, and the sensor can be adopted concurrently to measure temperature, pH, electrical conductivity, and copper ion concentration, whose sensitivities are determined as 0.0193 °C/mV, −0.0642 pH/mV, 1.1008 mS/V·cm (from 0 mS/cm to 2 mS/cm) and 1.1975 mS/V·cm (from 2 mS/cm to 5.07 mS/cm), and 0.0111 ppm/mV, respectively. A LoRa shield connected into the system could provide support as a node of long range wide area network (LoRaWAN) for wireless communication application. As mentioned above, the sensors, LoRa, and circuit have been integrated in this study to a continuous monitoring system, WQMS. The advantages of the multifunctional miniaturized WQMS are low cost, small size, easy maintenance, continuous sampling and long-term monitoring for many days. Every tested period is 180 min, and the measured rate is 5 times per 20 min. The feedback signals of the miniaturized WQMS and measured values of the instrument were obtained to compare the difference. In the measured results at three different place-to-place locations the errors of electrical conductivity are 0.051 mS/cm, 0.106 mS/cm, and 0.092 mS/cm, respectively. The errors of pH are 0.68, 0.87, and 0.56, respectively. The errors of temperature are 0.311 °C, 0.252 °C, and 0.304 °C, respectively. The errors of copper ion concentration are 0.051 ppm, 0.058 ppm, 0.050 ppm, respectively. Full article
(This article belongs to the Special Issue Selected Papers from IEEE ICKII 2019)
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11 pages, 3695 KiB  
Article
An Approach to Measure Tilt Motion, Straightness and Position of Precision Linear Stage with a 3D Sinusoidal-Groove Linear Reflective Grating and Triangular Wave-Based Subdivision Method
by Hsiu-An Tsai and Yu-Lung Lo
Sensors 2019, 19(12), 2816; https://doi.org/10.3390/s19122816 - 24 Jun 2019
Cited by 3 | Viewed by 3840
Abstract
This work presents a novel and compact method for simultaneously measuring errors in linear displacement and vertical straightness of a moving linear air-bearing stage using 3D sinusoidal-groove linear reflective grating and a novel triangular wave-based sequence signal analysis method. The new scheme is [...] Read more.
This work presents a novel and compact method for simultaneously measuring errors in linear displacement and vertical straightness of a moving linear air-bearing stage using 3D sinusoidal-groove linear reflective grating and a novel triangular wave-based sequence signal analysis method. The new scheme is distinct from the previous studies as it considers two signals to analyze linear displacement and vertical straightness. In addition, the tilt motion of the precision linear stage could also be measured using the 3D sinusoidal-groove linear reflective grating. The proposed system is similar to a linear encoder and can make online measurements of stage errors to analyze automatic processes and also be used for real-time monitoring. The performance of the proposed method and its reliability have been verified by experiments. The experiments show that the maximum error of measured tilt angle, linear displacement, and vertical straightness error is less than 0.058°, 0.239 μm, and 0.188 μm, respectively. The maximum repeatability error on measurement of tilt angle, linear displacement, and vertical straightness error is less than ±0.189o, ±0.093 μm, and ±0.016 μm, respectively. The proposed system is suitable for error compensation in the multi-axis system and finds application in most industries. Full article
(This article belongs to the Special Issue Selected Papers from IEEE ICKII 2019)
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43 pages, 7279 KiB  
Article
Study of Out-Of-Hospital Access to HIS System: A Security Perspective
by Chih-Yung Chen, Yi-Chang Hsu, Chang-Ching Lin, Jeyhun Hajiyev, Chia-Rong Su and Ching-His Tseng
Sensors 2019, 19(11), 2628; https://doi.org/10.3390/s19112628 - 10 Jun 2019
Viewed by 3469
Abstract
In light of the need for Extramural Hospital Information System (HIS) access through mobile devices outside the hospital, this research analyzes situational information security threats, including the circumstances in which a mobile device may get lost and personal data may be stolen. Moreover, [...] Read more.
In light of the need for Extramural Hospital Information System (HIS) access through mobile devices outside the hospital, this research analyzes situational information security threats, including the circumstances in which a mobile device may get lost and personal data may be stolen. Moreover, the system needs to be implemented in accordance with the regulations. Based on the security threat analysis, it is proposed to use a security control module to provide a security-enabled HIS proxy module, two-way authentication module, and One-Time Password (OTP). The sending module and cryptographic technology computing module with Micro SD encryption card form a set of HIS extension system, which includes the SMS OTP method to simultaneously verify the two-way authentication mechanism of a user and the device that the user owns. Full article
(This article belongs to the Special Issue Selected Papers from IEEE ICKII 2019)
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