Special Issue "Selected Papers from IEEE ICKII 2018"

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: closed (31 March 2019).

Printed Edition Available!
A printed edition of this Special Issue is available here.

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 it 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 topics of electronics and its applications. Electronic Engineering and Design Innovations are both an academic and practical engineering fields that involve systematic technological materialization through scientific principles and engineering designs. Technological innovation via Electronic Engineering includes electrical circuits and devices, computer science and engineering, communications and information processing, and electrical engineering communications. The main goal of this Special Issue “Selected papers from IEEE ICKII 2018” is to discover new scientific knowledge relevant to followings topics, but are not limited to:

  • electrical circuits & devices
  • microelectronics and computer technology
  • computer science and engineering
  • communications & information processing
  • electrical engineering communications
  • signal processing
  • measurements technology
  • microwave and electronic system engineering
  • microelectronics and optoelectronics
  • systems & control engineering

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. Electronics is an international peer-reviewed open access monthly 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 1500 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 (6 papers)

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Editorial

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Open AccessEditorial
Special Issue on Selected Papers from IEEE ICKII 2018
Electronics 2019, 8(7), 757; https://doi.org/10.3390/electronics8070757 - 05 Jul 2019
Abstract
Electronic Engineering and Design Innovations are both academic and practical engineering fields that involve systematic technological materialization through scientific principles and engineering designs [...] Full article
(This article belongs to the Special Issue Selected Papers from IEEE ICKII 2018) Printed Edition available

Research

Jump to: Editorial

Open AccessArticle
Robust Stable Control Design for AC Power Supply Applications
Electronics 2019, 8(4), 419; https://doi.org/10.3390/electronics8040419 - 10 Apr 2019
Cited by 1
Abstract
This paper applies modified feedback technology to carry out the exact steady-state and fast transient in a high-performance alternating current (AC) power supply. The presented scheme displays the virtues of a finite-time convergence control (FTCC) and a discrete grey prediction model (DGPM). The [...] Read more.
This paper applies modified feedback technology to carry out the exact steady-state and fast transient in a high-performance alternating current (AC) power supply. The presented scheme displays the virtues of a finite-time convergence control (FTCC) and a discrete grey prediction model (DGPM). The FTCC, derived from a terminal sliding-mode (TSM) design principle, can produce the finite system-state convergence time and evade the singularity. It is noteworthy that the chattering/steady-state error around the FTCC may occur because of the overestimated or underestimated uncertainty bound. The DGPM with the bound estimate ability is integrated into the FTCC to cope with internal parameter variations and external load disturbances. The less chattering and steady-state error can be obtained, providing more robust performance in the AC power supply. The combination of the FTCC and the DGPM extends the standard TSM design for the purpose of faster singularity-free convergence, as well as introducing the grey modeling method in the case of a more exact uncertainty estimate. The modified control technology has a high-precision tracking performance and a fast convergent speed. Simulated and experimental results point out that the modified control technology can effectuate low total harmonic distortion (THD) and fast dynamic response in the presence of rectifier loads and abrupt step load changes. Full article
(This article belongs to the Special Issue Selected Papers from IEEE ICKII 2018) Printed Edition available
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Open AccessArticle
A Mixed Deep Recurrent Neural Network for MEMS Gyroscope Noise Suppressing
Electronics 2019, 8(2), 181; https://doi.org/10.3390/electronics8020181 - 04 Feb 2019
Cited by 11
Abstract
Currently, positioning, navigation, and timing information is becoming more and more vital for both civil and military applications. Integration of the global navigation satellite system and /inertial navigation system is the most popular solution for various carriers or vehicle positioning. As is well-known, [...] Read more.
Currently, positioning, navigation, and timing information is becoming more and more vital for both civil and military applications. Integration of the global navigation satellite system and /inertial navigation system is the most popular solution for various carriers or vehicle positioning. As is well-known, the global navigation satellite system positioning accuracy will degrade in signal challenging environments. Under this condition, the integration system will fade to a standalone inertial navigation system outputting navigation solutions. However, without outer aiding, positioning errors of the inertial navigation system diverge quickly due to the noise contained in the raw data of the inertial measurement unit. In particular, the micromechanics system inertial measurement unit experiences more complex errors due to the manufacturing technology. To improve the navigation accuracy of inertial navigation systems, one effective approach is to model the raw signal noise and suppress it. Commonly, an inertial measurement unit is composed of three gyroscopes and three accelerometers, among them, the gyroscopes play an important role in the accuracy of the inertial navigation system’s navigation solutions. Motivated by this problem, in this paper, an advanced deep recurrent neural network was employed and evaluated in noise modeling of a micromechanics system gyroscope. Specifically, a deep long short term memory recurrent neural network and a deep gated recurrent unit–recurrent neural network were combined together to construct a two-layer recurrent neural network for noise modeling. In this method, the gyroscope data were treated as a time series, and a real dataset from a micromechanics system inertial measurement unit was employed in the experiments. The results showed that, compared to the two-layer long short term memory, the three-axis attitude errors of the mixed long short term memory–gated recurrent unit decreased by 7.8%, 20.0%, and 5.1%. When compared with the two-layer gated recurrent unit, the proposed method showed 15.9%, 14.3%, and 10.5% improvement. These results supported a positive conclusion on the performance of designed method, specifically, the mixed deep recurrent neural networks outperformed than the two-layer gated recurrent unit and the two-layer long short term memory recurrent neural networks. Full article
(This article belongs to the Special Issue Selected Papers from IEEE ICKII 2018) Printed Edition available
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Open AccessArticle
Operational Improvement of Interior Permanent Magnet Synchronous Motor Using Fuzzy Field-Weakening Control
Electronics 2018, 7(12), 452; https://doi.org/10.3390/electronics7120452 - 19 Dec 2018
Cited by 5
Abstract
This paper considers the fuzzy control design of maximum torque per ampere (MTPA) and maximum torque per voltage (MTPV) for the interior permanent magnet synchronous motor (IPMSM) control system that is capable of reducing computation burden, improving torque output, and widening the speed [...] Read more.
This paper considers the fuzzy control design of maximum torque per ampere (MTPA) and maximum torque per voltage (MTPV) for the interior permanent magnet synchronous motor (IPMSM) control system that is capable of reducing computation burden, improving torque output, and widening the speed range. In the entire motor speed range, three control methods, i.e., the MTPA, flux weakening, and MTPV methods may be applied depending on current and voltage statuses. The simulation using MATLAB/Simulink is first conducted and then in order to speed up the development, hardware-in-the-loop (HIL) is adopted to verify the effectiveness of the proposed fuzzy MTPA and MTPV control for the IPMSM system. Full article
(This article belongs to the Special Issue Selected Papers from IEEE ICKII 2018) Printed Edition available
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Open AccessArticle
Hardware Implementation for an Improved Full-Pixel Search Algorithm Based on Normalized Cross Correlation Method
Electronics 2018, 7(12), 428; https://doi.org/10.3390/electronics7120428 - 12 Dec 2018
Cited by 3
Abstract
Digital speckle correlation method is widely used in the areas of three-dimensional deformation and morphology measurement. It has the advantages of non-contact, high precision, and strong stability. However, it is very complex to be carried out with low speed software implementation. Here, an [...] Read more.
Digital speckle correlation method is widely used in the areas of three-dimensional deformation and morphology measurement. It has the advantages of non-contact, high precision, and strong stability. However, it is very complex to be carried out with low speed software implementation. Here, an improved full pixel search algorithm based on the normalized cross correlation (NCC) method considering hardware implementation is proposed. According to the field programmable gate array (FPGA) simulation results, the speed of hardware design proposed in this paper is 2000 faster than that of software in single point matching, and 600 times faster than software in multi-point matching. The speed of the presented algorithm shows an increasing trend with the increase of the template size when performing multipoint matching. Full article
(This article belongs to the Special Issue Selected Papers from IEEE ICKII 2018) Printed Edition available
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Open AccessArticle
Design and Realization of a Compact High-Frequency Band-Pass Filter with Low Insertion Loss Based on a Combination of a Circular-Shaped Spiral Inductor, Spiral Capacitor and Interdigital Capacitor
Electronics 2018, 7(9), 195; https://doi.org/10.3390/electronics7090195 - 12 Sep 2018
Cited by 3
Abstract
In this study, the proposed bandpass filter (BPF) connects an interdigital and a spiral capacitor in series between the two symmetrical halves of a circular intertwined spiral inductor. For the mass production of devices and to achieve a higher accuracy and a better [...] Read more.
In this study, the proposed bandpass filter (BPF) connects an interdigital and a spiral capacitor in series between the two symmetrical halves of a circular intertwined spiral inductor. For the mass production of devices and to achieve a higher accuracy and a better performance compared with other passive technologies, we used integrated passive device (IPD) technology. IPD has been widely used to realize compact BPFs and achieve the abovementioned. The center frequency of the proposed BPF is 1.96 GHz, and the return loss, insertion loss and transmission zero are 26.77 dB, 0.27 dB and 38.12 dB, respectively. The overall dimensions of BPFs manufactured using IPD technology are 984 × 800 μ m 2 , which is advantageous for miniaturization and integration. Full article
(This article belongs to the Special Issue Selected Papers from IEEE ICKII 2018) Printed Edition available
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