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Selected Papers from the 2018 International Automatic Control Conference (CACS 2018)

A special issue of Sensors (ISSN 1424-8220).

Deadline for manuscript submissions: closed (28 February 2019) | Viewed by 19715

Special Issue Editors

Prof. Dr. Cheng-Yuan Chang

E-Mail Website
Guest Editor
Department of Electrical Engineering, Chung Yuan Christian University, Chung Li, Taoyuan 32023, Taiwan
Interests: real-time digital signal processing; sensors and measurements; active noise control
Special Issues, Collections and Topics in MDPI journals
Assist. Prof. Tzong-Rong Ger

E-Mail Website
Guest Editor
Dept. Biomedical Engineering, Chung Yuan Christian Universiy, Taoyuan City, Taiwan
Interests: biomedical MEMs and bio-microfluidics application; magnetic polymer synthesis; bio-signal and medical image processing; computer aided diagnosis (CAD)
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The 2018 International Automatic Control Conference (CACS 2018) is an international conference hosted by the Chinese Automatic Control Society and National Central University, Taiwan. This four-day conference will take place at the South Garden Hotels and Resorts, Taoyuan, Taiwan, 4–7 November, 2018, and present more than 200 papers submitted worldwide. This event will provide a great opportunity for scientists, engineers, and practitioners to present the latest design concepts, research results, developments, and applications, as well as to facilitate interactions between scholars and practitioners. Submission of papers with new research results in all aspects of control and automation are encouraged. To broaden the scope and promote participations, organized sessions will also be welcome and incorporated into the CACS 2018 program. The best paper awards will be given to those with outstanding achievements. Topics of interest include, but are not limited to:

  • Biosensors
  • Human-computer interaction
  • Internet of things
  • Localization and object tracking
  • Micro and nanosensors
  • Optoelectronic and photonic sensors
  • Optomechanical sensors 
  • Signal processing, data fusion and deep learning in sensor systems
  • Smart/intelligent sensors
  • Sensor devices
  • Sensor technology and application
  • Sensing systems
  • Physical sensors

Prof. Cheng-Yuan Chang
Assist. Prof. Tzong-Rong Ger
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.

Published Papers (4 papers)

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Research

19 pages, 10861 KiB  
Article
IMU Consensus Exception Detection with Dynamic Time Warping—A Comparative Approach
by Chan-Yun Yang, Pei-Yu Chen, Te-Jen Wen and Gene Eu Jan
Sensors 2019, 19(10), 2237; https://doi.org/10.3390/s19102237 - 14 May 2019
Cited by 9 | Viewed by 3055
Abstract
A dynamic time warping (DTW) algorithm has been suggested for the purpose of devising a motion-sensitive microelectronic system for the realization of remote motion abnormality detection. In combination with an inertial measurement unit (IMU), the algorithm is potentially applicable for remotely monitoring patients [...] Read more.
A dynamic time warping (DTW) algorithm has been suggested for the purpose of devising a motion-sensitive microelectronic system for the realization of remote motion abnormality detection. In combination with an inertial measurement unit (IMU), the algorithm is potentially applicable for remotely monitoring patients who are at risk of certain exceptional motions. The fixed interval signal sampling mechanism has normally been adopted when devising motion detection systems; however, dynamically capturing the particular motion patterns from the IMU motion sensor can be difficult. To this end, the DTW algorithm, as a kind of nonlinear pattern-matching approach, is able to optimally align motion signal sequences tending towards time-varying or speed-varying expressions, which is especially suitable to capturing exceptional motions. Thus, this paper evaluated this kind of abnormality detection using the proposed DTW algorithm on the basis of its theoretical fundamentals to significantly enhance the viability of the methodology. To validate the methodological viability, an artificial neural network (ANN) framework was intentionally introduced for performance comparison. By incorporating two types of designated preprocessors, i.e., a DFT interpolation preprocessor and a convolutional preprocessor, to equalize the unequal lengths of the matching sequences, two kinds of ANN frameworks were enumerated to compare the potential applicability. The comparison eventually confirmed that the direct template-matching DTW is excellent in practical application for the detection of time-varying or speed-varying abnormality, and reliably captures the consensus exceptions. Full article
(This article belongs to the Special Issue Selected Papers from the 2018 International Automatic Control Conference (CACS 2018))
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15 pages, 4848 KiB  
Article
Development of a Smart Helmet for Strategical BCI Applications
by Li-Wei Ko, Yang Chang, Pei-Lun Wu, Heng-An Tzou, Sheng-Fu Chen, Shih-Chien Tang, Chia-Lung Yeh and Yun-Ju Chen
Sensors 2019, 19(8), 1867; https://doi.org/10.3390/s19081867 - 19 Apr 2019
Cited by 26 | Viewed by 5812
Abstract
Conducting electrophysiological measurements from human brain function provides a medium for sending commands and messages to the external world, as known as a brain–computer interface (BCI). In this study, we proposed a smart helmet which integrated the novel hygroscopic sponge electrodes and a [...] Read more.
Conducting electrophysiological measurements from human brain function provides a medium for sending commands and messages to the external world, as known as a brain–computer interface (BCI). In this study, we proposed a smart helmet which integrated the novel hygroscopic sponge electrodes and a combat helmet for BCI applications; with the smart helmet, soldiers can carry out extra tasks according to their intentions, i.e., through BCI techniques. There are several existing BCI methods which are distinct from each other; however, mutual issues exist regarding comfort and user acceptability when utilizing such BCI techniques in practical applications; one of the main challenges is the trade-off between using wet and dry electroencephalographic (EEG) electrodes. Recently, several dry EEG electrodes without the necessity of conductive gel have been developed for EEG data collection. Although the gel was claimed to be unnecessary, high contact impedance and low signal-to-noise ratio of dry EEG electrodes have turned out to be the main limitations. In this study, a smart helmet with novel hygroscopic sponge electrodes is developed and investigated for long-term usage of EEG data collection. The existing electrodes and EEG equipment regarding BCI applications were adopted to examine the proposed electrode. In the impedance test of a variety of electrodes, the sponge electrode showed performance averaging 118 kΩ, which was comparable with the best one among existing dry electrodes, which averaged 123 kΩ. The signals acquired from the sponge electrodes and the classic wet electrodes were analyzed with correlation analysis to study the effectiveness. The results indicated that the signals were similar to each other with an average correlation of 90.03% and 82.56% in two-second and ten-second temporal resolutions, respectively, and 97.18% in frequency responses. Furthermore, by applying the proposed differentiable power algorithm to the system, the average accuracy of 21 subjects can reach 91.11% in the steady-state visually evoked potential (SSVEP)-based BCI application regarding a simulated military mission. To sum up, the smart helmet is capable of assisting the soldiers to execute instructions with SSVEP-based BCI when their hands are not available and is a reliable piece of equipment for strategical applications. Full article
(This article belongs to the Special Issue Selected Papers from the 2018 International Automatic Control Conference (CACS 2018))
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26 pages, 6101 KiB  
Article
Development and Control of a Pneumatic-Actuator 3-DOF Translational Parallel Manipulator with Robot Vision
by Lian-Wang Lee, Hsin-Han Chiang and I-Hsum Li
Sensors 2019, 19(6), 1459; https://doi.org/10.3390/s19061459 - 25 Mar 2019
Cited by 11 | Viewed by 5235
Abstract
A vision-based three degree-of-freedom translational parallel manipulator (TPM) was developed. The developed TPM has the following characteristics. First, the TPM is driven by three rodless pneumatic actuators and is designed as a horizontal structure to enlarge its horizontal working space to cover a [...] Read more.
A vision-based three degree-of-freedom translational parallel manipulator (TPM) was developed. The developed TPM has the following characteristics. First, the TPM is driven by three rodless pneumatic actuators and is designed as a horizontal structure to enlarge its horizontal working space to cover a conveyor. Then, a robot-vision system (including a webcam mounted on the TPM) collects images of objects on the conveyor and transfers them through the LabVIEW application programming interface for image processing. Since it is very difficult to achieve precise position control of the TPM due to the nonlinear couplings among the robot axes, feedback linearization is utilized to design an adaptive interval type-2 fuzzy controller with self-tuning fuzzy sliding-mode compensation (AIT2FC-STFSMC) for each rodless pneumatic actuator to attenuate nonlinearities, function approximation errors, and external disturbances. Finally, experiments proved that the vision-based three degree-of-freedom TPM was capable of accurately tracking desired trajectories and precisely executing pick-and-place movement in real time. Full article
(This article belongs to the Special Issue Selected Papers from the 2018 International Automatic Control Conference (CACS 2018))
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23 pages, 6014 KiB  
Article
Linear Tapered Slot Antenna for Ultra-Wideband Radar Sensor: Design Consideration and Recommendation
by Vincent Tseng and Cheng-Yuan Chang
Sensors 2019, 19(5), 1212; https://doi.org/10.3390/s19051212 - 09 Mar 2019
Cited by 13 | Viewed by 4644
Abstract
Radar is a type of wireless, noncontact sensor that does not need to be placed on or near a test object for detection. A key component of any radar sensor is the antenna. Among different types of antennas, the linear tapered slot antenna [...] Read more.
Radar is a type of wireless, noncontact sensor that does not need to be placed on or near a test object for detection. A key component of any radar sensor is the antenna. Among different types of antennas, the linear tapered slot antenna (LTSA) is a wideband antenna that has the advantages of small size, design simplicity, and easy adaptation to an array. This study examined and analyzed the 10 primary parameters that define the LTSA design when operated in the ultra-wideband (UWB) frequency range. The study method involved varying each of the 10 parameters to discern how the variations impact the three critical characteristics of an antenna, namely, (1) return loss, (2) the far field radiation pattern on the E-plane, and (3) the far field radiation pattern on the H-plane. By analyzing the changes in these critical characteristics, a set of design recommendations for the 10 parameters was developed for the LTSA. Full article
(This article belongs to the Special Issue Selected Papers from the 2018 International Automatic Control Conference (CACS 2018))
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