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Selected Papers from TIKI IEEE ICASI 2019
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Selected Papers from TIKI IEEE ICASI 2019

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

Deadline for manuscript submissions: closed (31 August 2019) | Viewed by 19703

Special Issue Editors

Prof. Dr. Sheng-Joue Young

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Guest Editor
Department of Electronic Engineering, National United University, Miaoli City 36063, Taiwan
Interests: semiconductor physics; optoelectronic devices; nanotechnology
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Shoou-Jinn Chang

E-Mail Website
Guest Editor
Department of Electrical Engineering, National Cheng Kung University, Tainan 701, Taiwan
Interests: optical and electronic devices; semi-conductive materials; nanotechnology
Special Issues, Collections and Topics in MDPI journals
Dr. Stephen D. Prior

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Guest Editor
Aeronautics, Astronautics and Computational Engineering, University of Southampton, Southampton SO16 7QF, UK
Interests: microsystem design; nanotechnology
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Liang-Wen Ji

E-Mail Website
Guest Editor
Department of Electro-Optical Engineering, National Formosa University, Yunlin, Taiwan
Interests: nano-optoelectronics; photo detector, nano-materials
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The 5th IEEE International Conference on Applied System Innovation 2019 (IEEE ICASI 2019, https://2019.icasi-conf.net/) will be held in Fukuoka, Japan on April 11–15, 2019, and will provide a unified communication platform for a wide range of topics. In recent years, the application of advanced materials in microelectronic and optical sensors has developed quickly. Due to their flexibility and light weight for daily use, they have the potential to be deployed. The scopes of TIKI IEEE ICASI 2019 not only encompass material sizes at the nanoscale but also various dimensions where the onset of size-dependent phenomena usually enables novel applications.

This Special Issue selects excellent papers from TIKI IEEE ICASI 2019 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 the exploration of their broad applications, such as in industry, environmental control, material analysis, etc. We invite investigators to contribute original research articles, as well as review articles, that will stimulate continuing efforts to understand microelectronic and optical sensors. Potential topics include but are not limited to the following:

  • 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.

You may choose our Joint Special Issue in Sustainability.

Prof. Dr. Sheng-Joue Young
Prof. Dr. Shoou-Jinn Chang
Dr. Stephen D. Prior
Prof. Dr. Liang-Wen Ji
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

  • Advanced materials
  • Microelectronic devices
  • Optical sensors

Published Papers (4 papers)

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Research

14 pages, 2796 KiB  
Article
HoloLens-Based AR System with a Robust Point Set Registration Algorithm
by Jong-Chih Chien, Yao-Ren Tsai, Chieh-Tsai Wu and Jiann-Der Lee
Sensors 2019, 19(16), 3555; https://doi.org/10.3390/s19163555 - 15 Aug 2019
Cited by 21 | Viewed by 4139
Abstract
By the standard of today’s image-guided surgery (IGS) technology, in order to check and verify the progress of the surgery, the surgeons still require divert their attention from the patients occasionally to check against the display. In this paper, a mixed-reality system for [...] Read more.
By the standard of today’s image-guided surgery (IGS) technology, in order to check and verify the progress of the surgery, the surgeons still require divert their attention from the patients occasionally to check against the display. In this paper, a mixed-reality system for medical use is proposed that combines an Intel RealSense sensor with Microsoft’s Hololens head-mounted display system, for superimposing medical data onto the physical surface of a patient, so the surgeons do not need to divert their attention from their patients. The main idea of our proposed system is to display the 3D medical images of the patients on the actual patients themselves by placing the medical images and the patients in the same coordinate space. However, the virtual medical data may contain noises and outliers, so the transformation mapping function must be able to handle these problems. The transform function in our system is performed by the use of our proposed Denoised-Resampled-Weighted-and-Perturbed-Iterative Closest Points (DRWP-ICP) algorithm, which performs denoising and removal of outliers before aligning the pre-operative medical image data points to the patient’s physical surface position before displaying the result using the Microsoft HoloLens display system. The experimental results shows that our proposed mixed-reality system using DRWP-ICP is capable of performing accurate and robust mapping despite the presence of noise and outliers. Full article
(This article belongs to the Special Issue Selected Papers from TIKI IEEE ICASI 2019)
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15 pages, 3308 KiB  
Article
The Fabrication and Characterization of InAlAs/InGaAs APDs Based on a Mesa-Structure with Polyimide Passivation
by Jheng-Jie Liu, Wen-Jeng Ho, June-Yan Chen, Jian-Nan Lin, Chi-Jen Teng, Chia-Chun Yu, Yen-Chu Li and Ming-Jui Chang
Sensors 2019, 19(15), 3399; https://doi.org/10.3390/s19153399 - 02 Aug 2019
Cited by 13 | Viewed by 5638
Abstract
This paper presents a novel front-illuminated InAlAs/InGaAs separate absorption, grading, field-control and multiplication (SAGFM) avalanche photodiodes (APDs) with a mesa-structure for high speed response. The electric fields in the InAlAs-multiplication layer and InGaAs-absorption layer enable high multiplication gain and high-speed response thanks to [...] Read more.
This paper presents a novel front-illuminated InAlAs/InGaAs separate absorption, grading, field-control and multiplication (SAGFM) avalanche photodiodes (APDs) with a mesa-structure for high speed response. The electric fields in the InAlAs-multiplication layer and InGaAs-absorption layer enable high multiplication gain and high-speed response thanks to the thickness and concentration of the field-control and multiplication layers. A mesa active region of 45 micrometers was defined using a bromine-based isotropic wet etching solution. The side walls of the mesa were subjected to sulfur treatment before being coated with a thick polyimide layer to reduce current leakage, while lowering capacitance and increasing response speeds. The breakdown voltage (VBR) of the proposed SAGFM APDs was approximately 32 V. Under reverse bias of 0.9 VBR at room temperature, the proposed device achieved dark current of 31.4 nA, capacitance of 0.19 pF and multiplication gain of 9.8. The 3-dB frequency response was 8.97 GHz and the gain-bandwidth product was 88 GHz. A rise time of 42.0 ps was derived from eye-diagrams at 0.9 VBR. There was notable absence of intersymbol-interference and the signals remained error-free at data-rates of up to 12.5 Gbps. Full article
(This article belongs to the Special Issue Selected Papers from TIKI IEEE ICASI 2019)
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8 pages, 2442 KiB  
Article
Smart Interactive Education System Based on Wearable Devices
by Jia-Ming Liang, Wei-Cheng Su, Yu-Lin Chen, Shih-Lin Wu and Jen-Jee Chen
Sensors 2019, 19(15), 3260; https://doi.org/10.3390/s19153260 - 24 Jul 2019
Cited by 31 | Viewed by 5579
Abstract
Due to the popularity of smart devices, traditional one-way teaching methods might not deeply attract school students’ attention, especially for the junior high school students, elementary school students, or even younger students, which is a critical issue for educators. Therefore, we develop an [...] Read more.
Due to the popularity of smart devices, traditional one-way teaching methods might not deeply attract school students’ attention, especially for the junior high school students, elementary school students, or even younger students, which is a critical issue for educators. Therefore, we develop an intelligent interactive education system, which leverages wearable devices (smart watches) to accurately capture hand gestures of school students and respond instantly to teachers so as to increase the interaction and attraction of school students in class. In addition, through multiple physical information of school students from the smart watch, it can find out the crux points of the learning process according to the deep data analysis. In this way, it can provide teachers to make instant adjustments and suggest school students to achieve multi-learning and innovative thinking. The system is mainly composed of three components: (1) smart interactive watch; (2) teacher-side smart application (App); and (3) cloud-based analysis system. Specifically, the smart interactive watch is responsible for detecting the physical information and interaction results of school students, and then giving feedback to the teachers. The teacher-side app will provide real-time learning suggestions to adjust the teaching pace to avoid learning disability. The cloud-based analysis system provides intelligent learning advices, academic performance prediction and anomaly learning detection. Through field trials, our system has been verified that can potentially enhance teaching and learning processes for both educators and school students. Full article
(This article belongs to the Special Issue Selected Papers from TIKI IEEE ICASI 2019)
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23 pages, 1522 KiB  
Article
A Secure and Efficient Digital-Data-Sharing System for Cloud Environments
by Zhen-Yu Wu
Sensors 2019, 19(12), 2817; https://doi.org/10.3390/s19122817 - 24 Jun 2019
Cited by 3 | Viewed by 3712
Abstract
“Education Cloud” is a cloud-computing application used in educational contexts to facilitate the use of comprehensive digital technologies and establish data-based learning environments. The immense amount of digital resources, data, and teaching materials involved in these environments must be stored in robust data-access [...] Read more.
“Education Cloud” is a cloud-computing application used in educational contexts to facilitate the use of comprehensive digital technologies and establish data-based learning environments. The immense amount of digital resources, data, and teaching materials involved in these environments must be stored in robust data-access systems. These systems must be equipped with effective security mechanisms to guarantee confidentiality and ensure the integrity of the cloud-computing environment. To minimize the potential risk of privacy exposure, digital sharing service providers must encrypt their digital resources, data, and teaching materials, and digital-resource owners must have complete control over what data or materials they share. In addition, the data in these systems must be accessible to e-learners. In other words, data-access systems should not only encrypt data, but also provide access control mechanisms by which users may access the data. In cloud environments, digital sharing systems no longer target single users, and the access control by numerous users may overload a system and increase management burden and complexity. This study addressed these challenges to create a system that preserves the benefits of combining digital sharing systems and cloud computing. A cloud-based and learner-centered access control mechanism suitable for multi-user digital sharing was developed. The proposed mechanism resolves the problems concerning multi-user access requests in cloud environments and dynamic updating in digital-sharing systems, thereby reducing the complexity of security management. Full article
(This article belongs to the Special Issue Selected Papers from TIKI IEEE ICASI 2019)
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