Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
4.7
3.5
Journals
Processes
Special Issues
Processes in Electrical, Electronics and Information Engineering
share announcement

Processes in Electrical, Electronics and Information Engineering

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Advanced Digital and Other Processes".

Deadline for manuscript submissions: closed (27 November 2023) | Viewed by 10285

Special Issue Editor

Prof. Dr. Wen-Jer Chang

E-Mail Website
Guest Editor
Department of Marine Engineering, National Taiwan Ocean University, Keelung 202, Taiwan
Interests: marine engineering; electrical engineering; system engineering; control engineering; intelligent control; fuzzy theory and control; multimedia application
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Electrical and electronics engineering from strength production via electrical equipment to wireless communication and robots has a major effect on societal development. This improvement calls for greatly skilled engineers with specialized know-how in one of the many disciplines of electrical engineering. The modern society relies on the work of information engineers who develop and design the processes that create useful products for society through the efficient use and management of information.

This Special Issue on “Processes in Electrical, Electronics and Information Engineering” seeks high-quality works focusing on the latest novel advances in membrane technology for both gas and liquid separation. Topics include but are not limited to:

  • Electrical and electronics engineering
  • Communications and computer systems
  • Automation and control engineering
  • Informatics and computer sciences
  • Information engineering

Prof. Dr. Wen-Jer Chang
Guest Editor

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. Processes 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 2400 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

  • electronics
  • computer science
  • control engineering
  • information engineering

Published Papers (7 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

16 pages, 10473 KiB  
Article
A Multimodal Fusion System for Object Identification in Point Clouds with Density and Coverage Differences
by Daniel Fernando Quintero Bernal, John Kern and Claudio Urrea
Processes 2024, 12(2), 248; https://doi.org/10.3390/pr12020248 - 24 Jan 2024
Viewed by 596
Abstract
Data fusion, which involves integrating information from multiple sources to achieve a specific objective, is an essential area of contemporary scientific research. This article presents a multimodal fusion system for object identification in point clouds in a controlled environment. Several stages were implemented, [...] Read more.
Data fusion, which involves integrating information from multiple sources to achieve a specific objective, is an essential area of contemporary scientific research. This article presents a multimodal fusion system for object identification in point clouds in a controlled environment. Several stages were implemented, including downsampling and denoising techniques, to prepare the data before fusion. Two denoising approaches were tested and compared: one based on neighborhood technique and the other using a median filter for each “x”, “y”, and “z” coordinate of each point. The downsampling techniques included Random, Grid Average, and Nonuniform Grid Sample. To achieve precise alignment of sensor data in a common coordinate system, registration techniques such as Iterative Closest Point (ICP), Coherent Point Drift (CPD), and Normal Distribution Transform (NDT) were employed. Despite facing limitations, variations in density, and differences in coverage among the point clouds generated by the sensors, the system successfully achieved an integrated and coherent representation of objects in the controlled environment. This accomplishment establishes a robust foundation for future research in the field of point cloud data fusion. Full article
(This article belongs to the Special Issue Processes in Electrical, Electronics and Information Engineering)
►▼ Show Figures

Figure 1

24 pages, 3419 KiB  
Article
Estimated-State Feedback Fuzzy Compensator Design via a Decentralized Approach for Nonlinear-State-Unmeasured Interconnected Descriptor Systems
by Wen-Jer Chang, Che-Lun Su and Yi-Chen Lee
Processes 2024, 12(1), 101; https://doi.org/10.3390/pr12010101 - 01 Jan 2024
Viewed by 637
Abstract
This paper investigates the decentralized fuzzy control problems for nonlinear-state-unmeasured interconnected descriptor systems (IDSs) that utilize the observer-based-feedback approach and the proportional–derivative feedback control (PDFC) method. First of all, the IDS is represented as interconnected Takagi–Sugeno (T–S) fuzzy subsystems. These subsystems can effectively [...] Read more.
This paper investigates the decentralized fuzzy control problems for nonlinear-state-unmeasured interconnected descriptor systems (IDSs) that utilize the observer-based-feedback approach and the proportional–derivative feedback control (PDFC) method. First of all, the IDS is represented as interconnected Takagi–Sugeno (T–S) fuzzy subsystems. These subsystems can effectively capture the dynamic behavior of the system through fuzzy rules. For the stability analysis of the system, this paper uses the free-weighing Lyapunov function (FWLF), which allows the designer to set the weight matrix, to achieve the desired control performance and design the controller more easily. Furthermore, the control problem can be transformed into a set of linear matrix inequalities (LMIs) through the Schur complement, which can be solved using convex optimization methods. Simulation results confirm the effectiveness of the proposed method in achieving the desired control objectives and ensuring system stability. Full article
(This article belongs to the Special Issue Processes in Electrical, Electronics and Information Engineering)
►▼ Show Figures

Figure 1

14 pages, 4728 KiB  
Article
EW-YOLOv7: A Lightweight and Effective Detection Model for Small Defects in Electrowetting Display
by Zihan Zheng, Ningxia Chen, Jianhao Wu, Zhixuan Xv, Shuangyin Liu and Zhijie Luo
Processes 2023, 11(7), 2037; https://doi.org/10.3390/pr11072037 - 07 Jul 2023
Cited by 4 | Viewed by 910
Abstract
In order to overcome the shortcomings of existing electrowetting display defect detection models in terms of computational complexity, structural complexity, detection speed, and detection accuracy, this article proposes an improved YOLOv7-based electrowetting display defect detection model. The model effectively optimizes the detection performance [...] Read more.
In order to overcome the shortcomings of existing electrowetting display defect detection models in terms of computational complexity, structural complexity, detection speed, and detection accuracy, this article proposes an improved YOLOv7-based electrowetting display defect detection model. The model effectively optimizes the detection performance of display defects, especially small target defects, by integrating GhostNetV2 modules, Acmix attention mechanisms, and NGWD (Normalized Gaussian Wasserstein Distance) Loss. At the same time, it reduces the parameter size of the network model and improves the inference efficiency of the network. This article evaluates the performance of an improved model using a self-constructed electrowetting display defect dataset. The experimental results show that the proposed improved model achieves an average detection rate (mAP) of 89.5% and an average inference time of 35.9 ms. Compared to the original network, the number of parameters and computational costs are reduced by 19.2% and 64.3%, respectively. Compared with current state-of-the-art detection network models, the proposed EW-YOLOv7 exhibits superior performance in detecting electrowetting display defects. This model helps to solve the problem of defect detection in industrial production of electrowetting display and assists the research team in quickly identifying the causes and locations of defects. Full article
(This article belongs to the Special Issue Processes in Electrical, Electronics and Information Engineering)
►▼ Show Figures

Figure 1

20 pages, 5578 KiB  
Article
Application of Wearable Gloves for Assisted Learning of Sign Language Using Artificial Neural Networks
by Hyeon-Jun Kim and Soo-Whang Baek
Processes 2023, 11(4), 1065; https://doi.org/10.3390/pr11041065 - 01 Apr 2023
Cited by 4 | Viewed by 1930
Abstract
This study proposes the design and application of wearable gloves that can recognize sign language expressions from input images via long short-term memory (LSTM) network models and can learn sign language through finger movement generation and vibration motor feedback. It is difficult for [...] Read more.
This study proposes the design and application of wearable gloves that can recognize sign language expressions from input images via long short-term memory (LSTM) network models and can learn sign language through finger movement generation and vibration motor feedback. It is difficult for nondisabled people who do not know sign language to express sign language accurately. Therefore, we suggest the use of wearable gloves for sign language education to help nondisabled people learn and accurately express sign language. The wearable glove consists of a direct current motor, a link (finger exoskeleton) that can generate finger movements, and a flexible sensor that recognizes the degree of finger bending. When the coordinates of the hand move in the input image, the sign language motion is fed back through the vibration motor attached to the wrist. The proposed wearable glove can learn 20 Korean sign language words, and the data used for learning are configured to represent the joint coordinates and joint angles of both the hands and body for these 20 sign language words. Prototypes were produced based on the design, and it was confirmed that the angle of each finger could be adjusted. Through experiments, a sign language recognition model was selected, and the validity of the proposed method was confirmed by comparing the generated learning results with the data sequence. Finally, we compared and verified the accuracy and learning loss using a recurrent neural network and confirmed that the test results of the LSTM model showed an accuracy of 85%. Full article
(This article belongs to the Special Issue Processes in Electrical, Electronics and Information Engineering)
►▼ Show Figures

Figure 1

16 pages, 1149 KiB  
Article
Novel Iterative Feedback Tuning Method Based on Overshoot and Settling Time with Fuzzy Logic
by Jacob Gonzalez-Villagomez, Carlos Rodriguez-Donate, Misael Lopez-Ramirez, Ruth I. Mata-Chavez and Omar Palillero-Sandoval
Processes 2023, 11(3), 694; https://doi.org/10.3390/pr11030694 - 24 Feb 2023
Cited by 2 | Viewed by 1632
Abstract
Proportional–integral–derivative controllers are applied for solving a wide range of problems in industrial processes. They are preferred over computational techniques because of their implementation simplicity, low cost, and robustness against noise. In this paper, a novel iterative feedback tuning method is proposed using [...] Read more.
Proportional–integral–derivative controllers are applied for solving a wide range of problems in industrial processes. They are preferred over computational techniques because of their implementation simplicity, low cost, and robustness against noise. In this paper, a novel iterative feedback tuning method is proposed using fuzzy logic, where the design parameters proposed by the user are the desired plant overshoot and settling time. In contrast to classical methods, the proposed technique does not require a precise and complex mathematical model for tuning the proportional–integral–derivative controllers through the plant, nor does it need an expert who knows the precise behavior of the system as in methods based on computational techniques. Furthermore, unlike iterative feedback tuning methods that use cost functions and require several experiments to perform the iterations, this proposal uses fuzzy logic to update the controller parameters, which facilitates its implementation in programmable hardware. The proposed method can be easily implemented in software considering three main stages: pre-processing, fuzzy logic system, and post-processing. The simulation and experimental results demonstrate the effectiveness of the proposed method for proportional–integral–derivative controller tuning; moreover, according to the performed comparison, the proposed method provides a trade-off between performance and robustness in comparison with other tuning techniques. Full article
(This article belongs to the Special Issue Processes in Electrical, Electronics and Information Engineering)
►▼ Show Figures

Figure 1

14 pages, 5795 KiB  
Article
A Low-Cost Drive and Detection Scheme for Electrowetting Display
by Zhijie Luo, Cuiling Peng, Yujie Liu, Baoqiang Liu, Guofu Zhou, Shuangyin Liu and Ningxia Chen
Processes 2023, 11(2), 586; https://doi.org/10.3390/pr11020586 - 15 Feb 2023
Cited by 2 | Viewed by 1227
Abstract
The electrowetting display (EWD) has obtained much attention as its readability in sunlight and flexible displays. Oil motion control is an important factor for the display performance of EWD. In this paper, we propose a low-cost drive and detection scheme for EWD. The [...] Read more.
The electrowetting display (EWD) has obtained much attention as its readability in sunlight and flexible displays. Oil motion control is an important factor for the display performance of EWD. In this paper, we propose a low-cost drive and detection scheme for EWD. The dynamic drive and detection scheme for EWD consists of a low-cost camera, computer and graphical detection system, and portable driving control system. The proposed scheme can detect oil leaking, splitting, and non-recovered defects successfully. Moreover, surface defects such as the hydrophobic layer burned and scratch can also be captured and analyzed by the proposed scheme. We hope that this scheme can provide a drive and detection platform for other EWD researchers. Full article
(This article belongs to the Special Issue Processes in Electrical, Electronics and Information Engineering)
►▼ Show Figures

Figure 1

18 pages, 6985 KiB  
Article
Dynamic Signature Verification Technique for the Online and Offline Representation of Electronic Signatures in Biometric Systems
by Juanjuan Huang, Yuhang Xue and Linhui Liu
Processes 2023, 11(1), 190; https://doi.org/10.3390/pr11010190 - 06 Jan 2023
Cited by 1 | Viewed by 2518
Abstract
Biometric systems input physical or personal human characteristics for identification, authentication, and security purposes. With the advancement in communication and intelligent security systems, biometrics are programmed to validate electronic signatures (E-signatures) for online and offline authentication. This article introduces a dynamic signature verification [...] Read more.
Biometric systems input physical or personal human characteristics for identification, authentication, and security purposes. With the advancement in communication and intelligent security systems, biometrics are programmed to validate electronic signatures (E-signatures) for online and offline authentication. This article introduces a dynamic signature verification technique (DSVT) using mutual compliance (MC) between the security system and the biometric device. The security system is responsible for online and offline signature approval using personal inputs from humans. This personal verification is related to the stored online/offline signatures using certificates provided for authentication. The certificate-based authentication is valid within a session for online representation. Contrarily, this authentication is valid for persons under offline conditions. In this mode of segregation, application-level authentication verification is performed. A conventional tree classifier for dynamic signature verification is used for differentiating online and offline signatures. Moreover, the security metrics—such as signing bit, key, and size—are verified for both modes using classifier learning. For the segregated mode, the validation of the above is required to be unanimous to accelerate the dynamicity. The proposed technique’s performance is analyzed using the authentication success rate, verification failing ratio, verification time, and complexity. Full article
(This article belongs to the Special Issue Processes in Electrical, Electronics and Information Engineering)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-7
Back to TopTop