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Electronics
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Intelligent Signal Processing and Communication Systems
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Intelligent Signal Processing and Communication Systems

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Circuit and Signal Processing".

Deadline for manuscript submissions: closed (31 May 2022) | Viewed by 17838

Special Issue Editors

Dr. Shih-Shinh Huang

E-Mail Website
Guest Editor
Department of Computer and Communication Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 811532, Taiwan
Interests: intelligent transport system; computer vision; pattern recognition; intelligent vehicles
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Te-Jen Su

E-Mail Website
Guest Editor
Department of Electronic Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 80778, Taiwan
Interests: intelligent system engineering and applications
Prof. Dr. Jian-Ming Wu

E-Mail Website
Guest Editor
Department of Electronic Engineering, National Kaohsiung Normal University, Kaohsiung 824, Taiwan
Interests: design of monolithic microwave integrated circuit; modeling of RF components; chip-package-board codesign

Special Issue Information

Dear Colleagues,

Recently, the rapid development of technology has led to a fully digital network. At present, technology trends and popular discourse have been dominated by "5th Generation Mobile Networks". In daily life, related devices such as smartphones, tablets, and smart wearable devices have become an indispensable part of people's lives. Currently, most of them use 4G. However, 4G is not sufficient, because the number of users is rapidly rising. Therefore, the continuing development of 5G is highly necessary.

In view of this, ISPACS 2021 has determined this year’s main theme as “5G: Dream to Reality”, to enable a comprehensive discussion on the impact of 5G’s signal processing and communication.

This Special Issue aims not only to collect the extension of ISPACS 2021 papers, but also collect advanced research on 5G’s signal processing and communication. The Special Issue has three sub-topics. Research on any of these topics will be considered for inclusion in this Special Issue.

1: Circuits and Systems for Communications

Wireless network services have become an extremely important method of information transmission in our modern information society, with the advancement of wireless communication technology. According to the distance and mobility of transmissions, various wireless communication systems are being developed, including cellular networks and wireless local area networks. Electronic circuits are essential components of wireless communication systems. This Special Issue is for research related to the design and implementation of electronic circuits for wireless communication systems.

General topics covered in this section include, but are not limited to:

  • Front-End Circuits
  • Oscillators and Frequency Synthesizers
  • Transmitters and Power Amplifiers
  • Antennas and Propagations
  • Analog and Mixed-Signal Circuits
  • Interconnection and Packaging
  • Electromagnetic Radiation

Prof. Dr. Jian-Ming Wu

Guest Editor

2: Intelligent Algorithms, Systems, and Technologies

The topic of this section aims to address broad challenges in both theoretical and application aspects of intelligent algorithms, systems, and technologies. This Special Issue provides a good and unique platform for scholars and researchers to contribute original research articles that will showcase continuous effort on the various applications covering areas such as manufacturing, home automation, smart surveillance, robots, bioengineering, appliances, and intelligent transportation systems.

Topics to be discussed in this section include (but are not limited to) the following:

  • Robotic technologies
  • Artificial intelligence and knowledge based systems technologies
  • Real-time computing and its algorithms
  • Embedded systems technologies
  • Actuators and sensors
  • Sensing and multiple sensor fusion
  • Machine vision, image processing, pattern recognition and speech recognition and synthesis
  • Motion/force sensing and control
  • Real time learning and machine behaviors
  • Digital communications and mobile computing

3: Wireless Communications, Intelligent Systems, and Applications

In recent years, intelligent systems plus wireless communication technologies have been applied widely in many applications for daily life and industry. With the rollout of 5G, many applications and devices will make use of the benefits of 5G for the most exciting technological advances.

This session is for designers, researchers, and practitioners to share their findings, research results, and experiences that are related to recent applications in intelligent systems and wireless communication.

Submissions of high-quality papers describing mature results or on-going work are invited.

Topics to be discussed in this section include (but are not limited to) the following:           

  • 5G and next-generation mobile networks
  • Intelligent communication systems and mobile computing
  • mmWave communications
  • Wideband and MIMO wireless systems
  • Intelligent control theory and applications
  • Neural networks
  • Fuzzy theory and applications
  • Cognitive radio
  • Multimedia communication network technology
  • Internet of things and applications
  • Big data analysis and applications
  • Applications of medical engineering, medical information and medical imaging
  • Intelligent computing and machine learning
  • Smart city applications

Dr. Shih-Shinh Huang
Prof. Dr. Te-Jen Su
Prof. Dr. Jian-Ming Wu
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. Electronics 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 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

  • Communication Systems
  • Multimedia and Systems
  • Signal Processing
  • VLSI
  • Circuits and Systems
  • Emerging Technologies in Signal Processing and Communication

Published Papers (7 papers)

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Research

29 pages, 8271 KiB  
Article
Press Casting Quality Prediction and Analysis Based on Machine Learning
by Chih-Hsueh Lin, Guo-Hsin Hu, Chia-Wei Ho and Chia-Yen Hu
Electronics 2022, 11(14), 2204; https://doi.org/10.3390/electronics11142204 - 14 Jul 2022
Cited by 1 | Viewed by 1940
Abstract
In an industrial mass production pattern, quality prediction is one of the important processes when guarding quality. The products are extracted periodically or quantitatively for inspection in order to observe the relationship between process variation and engineering specification. When these irregularities are not [...] Read more.
In an industrial mass production pattern, quality prediction is one of the important processes when guarding quality. The products are extracted periodically or quantitatively for inspection in order to observe the relationship between process variation and engineering specification. When these irregularities are not instantly detected by lot sampling inspection, lot defectives are produced, and the defective cost increases. Failure to identify defects during sampling inspection leads to product returns or harm to business reputation. Press casting is a common mass production method in the metal industry. After the metal is molten at a high temperature, high pressure is injected into the mold, and then it is solidified and formed in the mold. Thus, pressure stability inside the mold is one of the key factors that influences quality. The melting point of aluminum alloy is normally around 650 °C, but there was no sensor that could withstand this high temperature. To combat this, we developed a high temperature resistant sensor and installed it into pressure casting mold grounded on the principles of fluid mechanics and experts’ suggestions in order to realize the impact of pressure change on the mold. To our limited knowledge, it was a seminal study on predicting mold’s casting quality via in-mold pressure data. We propose a press casting quality prediction method based on machine learning. By collecting the in-mold pressure data in real time. Savitzky-Golay Filter is used for data smoothing, and first-order difference is taken to extract the time interval of an actual injection of molten metal in-to the mold. We extract the key data that influence the quality and employ XGBoost to establish a classifier. In the experiment we prove that the method achieves good accuracy of quality prediction and recall of defectives for in-mold pressure. Via this model, we not only can save large amount of time and costs, but also can carry out maintenance warnings in advance, notify professionals to stop produce defective products, reduce the shipping risk and maintain reputation so as to strengthen its competitive edge. Full article
(This article belongs to the Special Issue Intelligent Signal Processing and Communication Systems)
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13 pages, 5810 KiB  
Article
Implementation of DDS Cloud Platform for Real-Time Data Acquisition of Sensors for a Legacy Machine
by Min-Huang Ho, Ming-Yi Lai and Yung-Tien Liu
Electronics 2022, 11(13), 2096; https://doi.org/10.3390/electronics11132096 - 4 Jul 2022
Cited by 2 | Viewed by 1942
Abstract
Industry 4.0 (I4.0) is a multidisciplinary engineering principle combing the IoT (Internet of things), big data, and cloud computing to cope with the dynamic changing industry. In this paper, the DDS (data distribution service) communication protocol was employed to implement a cloud platform [...] Read more.
Industry 4.0 (I4.0) is a multidisciplinary engineering principle combing the IoT (Internet of things), big data, and cloud computing to cope with the dynamic changing industry. In this paper, the DDS (data distribution service) communication protocol was employed to implement a cloud platform for data acquisition from various sensors on a precision legacy machine tool including an accelerometer and sound, temperature, brightness, and humidity sensors. The sensor signals were acquired using Raspberry Pi as the edge device, then published to the cloud using the DDS application, and stored in the MySQL database. Using the Django web server, the acquired sensor signals could be shown in real time on the webpage via a combination of MQTT and Node-RED. In addition, the motion displacement of the machine tool detected by the encoder could be recorded through the edge device for further performance examination. With the proposed DDS cloud platform, it is demonstrated that a legacy machine can enable sensing and communication abilities such that the development of a smart machine is achievable for future I4.0 application. Full article
(This article belongs to the Special Issue Intelligent Signal Processing and Communication Systems)
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9 pages, 1469 KiB  
Article
Analytic Design of on-Chip Spiral Inductor with Variable Line Width
by Hao-Hui Chen and Yao-Wen Hsu
Electronics 2022, 11(13), 2029; https://doi.org/10.3390/electronics11132029 - 28 Jun 2022
Cited by 6 | Viewed by 4278
Abstract
On-chip spiral inductors with variable line width layouts are known for their high quality factor (Q-factor). In this paper, we present an analytical approach to facilitate the design of such inductors. Based on an analysis of ohmic and eddy-current losses, we first derive [...] Read more.
On-chip spiral inductors with variable line width layouts are known for their high quality factor (Q-factor). In this paper, we present an analytical approach to facilitate the design of such inductors. Based on an analysis of ohmic and eddy-current losses, we first derive an analytical formula for the metal resistance calculation of a spiral inductor. By minimizing the metal resistance, a simple design equation for finding the proper line width of each coil is then presented. Several 0.18 μm CMOS spiral inductors are investigated, via electromagnetic simulations and experimental studies, to test the proposed resistance calculation, as well as the variable line width design method. It is found that the developed resistance calculation can effectively model the metal-line resistance of a spiral inductor. Moreover, the inductor with a variable line width obtained using the proposed method can significantly improve the Q-factor with little compromise to inductance, which validates the capacity of the developed variable line width design technique. Since the proposed approach can be carried out using analytical calculations, it may be a more efficient design method than those previously reported in the literature. Full article
(This article belongs to the Special Issue Intelligent Signal Processing and Communication Systems)
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16 pages, 1768 KiB  
Article
CycleGAN-Based Singing/Humming to Instrument Conversion Technique
by Wen-Hsing Lai, Siou-Lin Wang and Zhi-Yao Xu
Electronics 2022, 11(11), 1724; https://doi.org/10.3390/electronics11111724 - 30 May 2022
Viewed by 1959
Abstract
In this research, singing/humming to instrument conversion techniques are proposed. In humming to instrument, two models based on cycle-consistent adversarial networks (CycleGAN) on viola are experimented. From the objective and subjective evaluations conducted, the converted audio is more similar to viola compared to [...] Read more.
In this research, singing/humming to instrument conversion techniques are proposed. In humming to instrument, two models based on cycle-consistent adversarial networks (CycleGAN) on viola are experimented. From the objective and subjective evaluations conducted, the converted audio is more similar to viola compared to humming, and the quality of the converted sound is fair to listeners. In singing to instrument, to fix the problem of the gap between singing and instrument, a dual conversion model consisting of singing to humming and humming to instrument is proposed. The objective and subjective experimental results show that the dual conversion has better converted audio quality than conversion by singing to instrument directly. Full article
(This article belongs to the Special Issue Intelligent Signal Processing and Communication Systems)
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15 pages, 5639 KiB  
Article
Implementation of an Environmental Monitoring System Based on IoTs
by Chiung-Hsing Chen, Chih-Ming Hong, Whei-Min Lin and Yi-Chen Wu
Electronics 2022, 11(10), 1596; https://doi.org/10.3390/electronics11101596 - 17 May 2022
Cited by 2 | Viewed by 1804
Abstract
The objective of this paper is to study smart home network systems and the application of LabVIEW to develop a human machine interface (HMI), so that traditional instrument panels can be replaced with virtual panels to reduce the consumption of hardware resources. For [...] Read more.
The objective of this paper is to study smart home network systems and the application of LabVIEW to develop a human machine interface (HMI), so that traditional instrument panels can be replaced with virtual panels to reduce the consumption of hardware resources. For energy efficiency, MATLAB’s fuzzy toolbox is used as the computing center, which is applied to the lighting system and air-conditioning system. This paper also uses LabVIEW’s common gateway interface (CGI) tools to develop remote monitoring functions, as well as to embed the network-related syntax into the web pages. The user can not only use computer equipment, but can also use their mobile devices to connect to the networks and conduct remote monitoring, which enhances convenience and security. This paper is finally tested with actual cases, and the electricity consumption with and without fuzzy logic control is compared. The test results show that fuzzy logic control can reduce electricity consumption. As well as using computers to test the remote monitoring functions, cell phones and pads were used. Full article
(This article belongs to the Special Issue Intelligent Signal Processing and Communication Systems)
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12 pages, 4942 KiB  
Article
Application of Cyber-Physical System Technology on Material Color Discrimination
by Wen-Jye Shyr, Hou-Chueh Juan, Chih-Yu Tsai and Yu-Jia Chang
Electronics 2022, 11(6), 920; https://doi.org/10.3390/electronics11060920 - 16 Mar 2022
Cited by 6 | Viewed by 1898
Abstract
With the innovative advance in science and technology, manufacturing production methods have made considerable progress. However, before the production process is actually implemented, it is important to examine whether the design can meet the actual need. By applying cyber-physical system technology to test [...] Read more.
With the innovative advance in science and technology, manufacturing production methods have made considerable progress. However, before the production process is actually implemented, it is important to examine whether the design can meet the actual need. By applying cyber-physical system technology to test the production process, the development problems of the actual construction can be avoided. Based on the existing components, this study incorporated the cyber-physical system via innovative integration. In addition to the human–machine interface, this was employed as the operating spindle to integrate the material color identification system of the physical organization. This study also adopted the automated virtual factory constructed by the simulation software of Factory IO with an aim to achieve the technical application. Full article
(This article belongs to the Special Issue Intelligent Signal Processing and Communication Systems)
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11 pages, 1064 KiB  
Article
A Lightweight CNN Architecture for Automatic Modulation Classification
by Zhongyong Wang, Dongzhe Sun, Kexian Gong, Wei Wang and Peng Sun
Electronics 2021, 10(21), 2679; https://doi.org/10.3390/electronics10212679 - 2 Nov 2021
Cited by 6 | Viewed by 2404
Abstract
Automatic modulation classification (AMC) algorithms based on deep learning (DL) have been widely studied in the past decade, showing significant performance advantage compared to traditional ones. However, the existing DL methods generally behave worse in computational complexity. For this, this paper proposes a [...] Read more.
Automatic modulation classification (AMC) algorithms based on deep learning (DL) have been widely studied in the past decade, showing significant performance advantage compared to traditional ones. However, the existing DL methods generally behave worse in computational complexity. For this, this paper proposes a lightweight convolutional neural network (CNN) for AMC task, where we design a depthwise separable convolution (DSC) residual architecture for feature extraction to prevent the vanishing gradient problem and lighten the computational burden. Besides that, in order to further reduce model complexity, global depthwise convolution (GDWConv) is adopted for feature reconstruction after the last (non-global) convolutional layer. Compared to recent works, the experimental results show that the proposed network can save approximately 70~98% model parameters and 30~99% inference time on two well-known benchmarks. Full article
(This article belongs to the Special Issue Intelligent Signal Processing and Communication Systems)
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