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Electronics, Volume 11, Issue 8

2022 April-2 - 125 articles

Cover Story: The future European airspace for unmanned aircraft (U-Space) lays the foundation for these aircraft to be integrated with conventionally manned traffic in urban air mobility (UAM) scenarios. In this context, conflict management services need to be deployed to prevent the occurrence of mid-air collisions between aircraft. This work details a new version of the PCAN (prediction-based conflict-free adaptive navigation) algorithm proposed for tactical conflict resolution that considers the priority-aware flight classification policy incorporated to the U-Space concept of operations. Its evaluation shows that it is still possible to avoid any conflict between the set of aircraft in flight, with an insignificant detriment to higher-priority flights, while maintaining minimal detriment on average. View this paper
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Articles (125)

  • Article
  • Open Access
15 Citations
4,360 Views
18 Pages

Optimal Pitch Angle Controller for DFIG-Based Wind Turbine System Using Computational Optimization Techniques

  • Arsalan Khurshid,
  • Muhammad Ali Mughal,
  • Achraf Othman,
  • Tawfik Al-Hadhrami,
  • Harish Kumar,
  • Imtinan Khurshid,
  • Arshad and
  • Jawad Ahmad

With the advent of high-speed and parallel computing, the applicability of computational optimization in engineering problems has increased, with greater validation than conventional methods. Pitch angle is an effective variable in extracting maximum...

  • Article
  • Open Access
5 Citations
3,804 Views
9 Pages

Two-Path 77-GHz PA in 28-nm FD-SOI CMOS for Automotive Radar Applications

  • Claudio Nocera,
  • Giuseppe Papotto and
  • Giuseppe Palmisano

This paper presents a 77 GHz two path power amplifier (PA) for automotive radar applications. It was fabricated in 28-nm fully depleted silicon-on-insulator CMOS technology, which provides transistors with a transition frequency of about 270 GHz and...

  • Article
  • Open Access
10 Citations
3,728 Views
13 Pages

Alzheimer’s disease (AD) is one of the most common diseases causing cognitive impairment in middle-aged and elderly people, and the high cost of the disease poses a challenge for health systems to cope with the expected increasing number of cas...

  • Article
  • Open Access
11 Citations
3,473 Views
33 Pages

Application of the Multiverse Optimization Method to Solve the Optimal Power Flow Problem in Alternating Current Networks

  • Andrés Alfonso Rosales Muñoz,
  • Luis Fernando Grisales-Noreña,
  • Jhon Montano,
  • Oscar Danilo Montoya and
  • Alberto-Jesus Perea-Moreno

In this paper, we solve the optimal power flow problem in alternating current networks to reduce power losses. For that purpose, we propose a master–slave methodology that combines the multiverse optimization algorithm (master stage) and the po...

  • Article
  • Open Access
13 Citations
3,668 Views
14 Pages

Electro hydrostatic actuator (EHA) has been successfully developed for flight control applications to replace the cumbersome centralized hydraulic system. It also has excellent potential for ocean applications due to its advantages on miniaturization...

  • Article
  • Open Access
13 Citations
3,577 Views
17 Pages

The Switched Reluctance Generator (SRG) has been widely studied for Wind Energy Conversion Systems (WECS). However, a major drawback of the SRG system adopting the conventional control is the slow response of the DC link voltage controller. In this p...

  • Article
  • Open Access
7 Citations
3,129 Views
17 Pages

Prediction of Content Success and Cloud-Resource Management in Internet-of-Media-Things Environments

  • Yeon-Su Lee,
  • Ye-Seul Lee,
  • Hye-Rim Jang,
  • Soo-Been Oh,
  • Yong-Ik Yoon and
  • Tai-Won Um

In Internet-of-Media-Things (IoMT) environments, users can access and view high-quality Over-the-Top (OTT) media services anytime and anywhere. As the number of OTT platform users has increased, the original content offered by such OTT platforms has...

  • Feature Paper
  • Article
  • Open Access
94 Citations
18,601 Views
19 Pages

Adversarial Attack and Defense: A Survey

  • Hongshuo Liang,
  • Erlu He,
  • Yangyang Zhao,
  • Zhe Jia and
  • Hao Li

In recent years, artificial intelligence technology represented by deep learning has achieved remarkable results in image recognition, semantic analysis, natural language processing and other fields. In particular, deep neural networks have been wide...

  • Article
  • Open Access
17 Citations
3,609 Views
22 Pages

An RG-FLAT-CRF Model for Named Entity Recognition of Chinese Electronic Clinical Records

  • Jiakang Li,
  • Ruixia Liu,
  • Changfang Chen,
  • Shuwang Zhou,
  • Xiaoyi Shang and
  • Yinglong Wang

The goal of Clinical Named Entity Recognition (CNER) is to identify clinical terms from medical records, which is of great importance for subsequent clinical research. Most of the current Chinese CNER models use a single set of features that do not c...

  • Article
  • Open Access
9 Citations
2,214 Views
28 Pages

The concept of the Internet of Things (IoT) is widely discussed. IoT is one of the emerging technologies that have caught the attention of many researchers. The increase in the number of exchanges of services between heterogeneous or homogeneous conn...

  • Article
  • Open Access
9 Citations
4,457 Views
13 Pages

The Development of 170 GHz, 1 MW Gyrotron for Fusion Application

  • Yichi Zhang,
  • Xu Zeng,
  • Ming Bai,
  • Ming Jin,
  • Wenteng Hao,
  • Dongshuo Gao,
  • Qiao Liu and
  • Jinjun Feng

This paper presents the overall conceptual design of a 170 GHz, 1 MW gyrotron for plasma heating applications in thermonuclear fusion reactors. The operating mode is carefully selected with consideration of mode competition. The TE25,10 mode is deter...

  • Article
  • Open Access
89 Citations
7,217 Views
13 Pages

Smart Mobile Learning Success Model for Higher Educational Institutions in the Context of the COVID-19 Pandemic

  • Mohammed Amin Almaiah,
  • Sarra Ayouni,
  • Fahima Hajjej,
  • Abdalwali Lutfi,
  • Omar Almomani and
  • Ali Bani Awad

Smart mobile learning (M-learning) applications have shown several new benefits for higher educational institutions during the COVID-19 pandemic, during which such applications were used to support distance learning. Therefore, this study aims to exa...

  • Article
  • Open Access
7 Citations
4,934 Views
25 Pages

This paper presents the integrated motion control method for an electric vehicle (EV) equipped with a front/rear steer-by-wire (SbW) system and four in-wheel motor (IWM). The proposed integrated motion control method aims to maintain stable cornering...

  • Article
  • Open Access
7 Citations
16,863 Views
27 Pages

In-Depth Evaluation of the Impact of National-Level DNS Filtering on DNS Resolvers over Space and Time

  • Yanan Cheng,
  • Yali Liu,
  • Chao Li,
  • Zhaoxin Zhang,
  • Ning Li and
  • Yuejin Du

DNS filtering is the practice of blocking access to certain sites for a specific purpose, often content-based filtering. Unlike previous studies that focused on the behavior of national-level DNS filtering itself (e.g., location of filtering devices)...

  • Article
  • Open Access
5 Citations
3,991 Views
14 Pages

Artificial intelligence research in natural language processing in the context of poetry struggles with the recognition of holistic content such as poetic symbolism, metaphor, and other fine-grained attributes. Given these challenges, multi-modal ima...

  • Article
  • Open Access
2 Citations
2,629 Views
11 Pages

In this paper, the pulse wave (PW) rectifier of the Schottky diode is theoretically analyzed using the microwave equivalent circuit. It is found that the duty cycle of PW is inversely proportional to the load resistance of the rectifier when the ampl...

  • Article
  • Open Access
2 Citations
2,344 Views
9 Pages

Lattice Relaxation Forward Negative Coulomb Drag in Hopping Regime

  • Dongyang Liu,
  • Jiawei Wang,
  • Chong Bi,
  • Mengmeng Li,
  • Nianduan Lu,
  • Zhekai Chen and
  • Ling Li

Quasi-particle formed by electron and the dressed deformed lattice is important to accurately interpret the properties of various disordered/amorphous materials. However, a unified understanding of the drag effect, in particular the negative Coulomb...

  • Article
  • Open Access
7 Citations
3,473 Views
16 Pages

In an RGB-LED-based optical camera communication system, it is an essential goal to have better performance in the data rate and BER. However, in a higher symbol rate, due to the conventional sampling algorithm, the deterioration of transmission perf...

  • Article
  • Open Access
15 Citations
4,306 Views
11 Pages

A 1.8 V Low-Power Low-Noise High Tunable Gain TIA for CMOS Integrated Optoelectronic Biomedical Applications

  • Guido Di Patrizio Stanchieri,
  • Andrea De Marcellis,
  • Graziano Battisti,
  • Marco Faccio,
  • Elia Palange and
  • Ulkuhan Guler

This paper reports on a novel solution for a transimpedance amplifier (TIA) specifically designed as an analog conditioning circuit for low-voltage, low-power, wearable, portable and implantable optoelectronic integrated sensor systems in biomedical...

  • Article
  • Open Access
32 Citations
4,967 Views
18 Pages

Evaluation of Production of Digital Twins Based on Blockchain Technology

  • Nada A. Nabeeh,
  • Mohamed Abdel-Basset,
  • Abduallah Gamal and
  • Victor Chang

A blockchain, as a form of distributed ledger technology, represents the unanimity of replication, synchronization, and sharing of data among various geographical sites. Blockchains have demonstrated impressive and effective applications throughout m...

  • Article
  • Open Access
2 Citations
2,781 Views
8 Pages

Very Low-Noise Figure HTSC RF Front-End

  • Eldad Holdengreber,
  • Moshe Mizrahi,
  • Noy Citron,
  • Shmuel E. Schacham and
  • Eliyahu Farber

A very low noise figure radio frequency (RF) front-end for the cellular realm is presented. The front-end is composed of two planar YBCO high critical temperature superconductor (HTSC) bandpass filters (BPFs) and a low temperature, low noise amplifie...

  • Article
  • Open Access
118 Citations
10,909 Views
22 Pages

Assessing the Effects of the COVID-19 Pandemic on M-Commerce Adoption: An Adapted UTAUT2 Approach

  • Simona Vinerean,
  • Camelia Budac,
  • Lia Alexandra Baltador and
  • Dan-Cristian Dabija

The COVID-19 pandemic has impacted consumers’ lives and their shopping patterns, leading them towards mobile commerce. To address current shopping circumstances, an adapted UTAUT2 model aims to integrate trust and perceptions of the effects of...

  • Article
  • Open Access
3 Citations
3,966 Views
14 Pages

The Internet of Things (IoT) is evolving rapidly, enabling more new applications than ever before. Some radio systems in the IoT space used to connect things with things operate at the 863–928 MHz frequency band (e.g., LoRa, ISM). IoT wireless...

  • Article
  • Open Access
94 Citations
6,108 Views
15 Pages

A Five Convolutional Layer Deep Convolutional Neural Network for Plant Leaf Disease Detection

  • J. Arun Pandian,
  • K. Kanchanadevi,
  • V. Dhilip Kumar,
  • Elżbieta Jasińska,
  • Radomír Goňo,
  • Zbigniew Leonowicz and
  • Michał Jasiński

In this research, we proposed a Deep Convolutional Neural Network (DCNN) model for image-based plant leaf disease identification using data augmentation and hyperparameter optimization techniques. The DCNN model was trained on an augmented dataset of...

  • Article
  • Open Access
5 Citations
3,606 Views
20 Pages

One key feature of named data networks (NDN) is supporting in-network caching to increase the content distribution for today’s Internet needs. However, previously cached contents may be threatened by side-channel timing measurements/attacks. Fo...

  • Article
  • Open Access
12 Citations
3,177 Views
27 Pages

Video coding standards, such as high-efficiency video coding (HEVC), versatile video coding (VVC), and AOMedia video 2 (AV2), achieve an optimal encoding performance by traversing all possible combinations of coding unit (CU) partition and selecting...

  • Article
  • Open Access
6 Citations
2,453 Views
15 Pages

The dynamic characteristics of rigid-flexible manipulators involve complex rigid-flexible coupling phenomena, which essentially comprise a nonlinear distributed parameter system with infinite degrees of freedom. Consequently, it results in challenges...

  • Feature Paper
  • Article
  • Open Access
23 Citations
5,794 Views
19 Pages

Overview of Prospects for Service-Aware Radio Access towards 6G Networks

  • Zixiao Zhao,
  • Qinghe Du,
  • Dawei Wang,
  • Xiao Tang and
  • Houbing Song

The integration of space–air–ground–sea networking in 6G, which is expected to not only achieve seamless coverage but also offer service-aware access and transmission, has introduced many new challenges for current mobile communicat...

  • Article
  • Open Access
3,187 Views
25 Pages

FPGAs can provide application-specific acceleration for computationally demanding tasks. However, they are rarely considered general-purpose platforms due to low productivity of software development and long reconfiguration time. These problems can b...

  • Article
  • Open Access
6 Citations
2,366 Views
12 Pages

Hepatitis C is a viral infection (HCV) that causes liver inflammation, and it was found that it affects over 170 million people around the world, with Egypt having the highest rate in the world. Unfortunately, serial liver biopsies, which can be inva...

  • Article
  • Open Access
77 Citations
9,583 Views
14 Pages

Employing the TAM Model to Investigate the Readiness of M-Learning System Usage Using SEM Technique

  • Mohammed Amin Almaiah,
  • Shaha Al-Otaibi,
  • Abdalwali Lutfi,
  • Omar Almomani,
  • Arafat Awajan,
  • Adeeb Alsaaidah,
  • Mahmoad Alrawad and
  • Ali Bani Awad

During COVID-19, universities started to use mobile learning applications as one of the solutions to support distance learning. The readiness of universities to apply new systems, such as mobile learning applications, is considered one of the critica...

  • Feature Paper
  • Review
  • Open Access
41 Citations
16,916 Views
34 Pages

Multiple-Output DC–DC Converters: Applications and Solutions

  • Salvador P. Litrán,
  • Eladio Durán,
  • Jorge Semião and
  • Cristian Díaz-Martín

Multiple-output DC–DC converters are essential in a multitude of applications where different DC output voltages are required. The interest and importance of this type of multiport configuration is also reflected in that many electronics manufa...

  • Article
  • Open Access
4 Citations
2,457 Views
21 Pages

Preserving Privacy of High-Dimensional Data by l-Diverse Constrained Slicing

  • Zenab Amin,
  • Adeel Anjum,
  • Abid Khan,
  • Awais Ahmad and
  • Gwanggil Jeon

In the modern world of digitalization, data growth, aggregation and sharing have escalated drastically. Users share huge amounts of data due to the widespread adoption of Internet-of-things (IoT) and cloud-based smart devices. Such data could have co...

  • Article
  • Open Access
11 Citations
6,790 Views
12 Pages

A Novel Buck Converter with Dual Loops Control Mechanism

  • Hsiao-Hsing Chou,
  • Wen-Hao Luo,
  • Hsin-Liang Chen and
  • San-Fu Wang

This paper presents a novel buck converter with dual-loop control technology, which does not need to detect the inductor current directly. The structure of the control loops is easy to implement, one loop controls the output voltage, and the other co...

  • Article
  • Open Access
54 Citations
8,479 Views
13 Pages

Context-Based Fake News Detection Model Relying on Deep Learning Models

  • Eslam Amer,
  • Kyung-Sup Kwak and
  • Shaker El-Sappagh

Nowadays, due to the great accessibility to the internet, people seek out and consume news via social media due to its low cost, ease of access, and quick transmission of information. The tremendous leverage of social media applications in daily life...

  • Article
  • Open Access
1 Citations
2,308 Views
14 Pages

Information Separation Network for Domain Adaptation Learning

  • Zeqing Zhang,
  • Zuodong Gao,
  • Xiaofan Li,
  • Cuihua Lee and
  • Weiwei Lin

The Bai People have left behind a wealth of ancient texts that record their splendid civilization, unfortunately fewer and fewer people can read these texts in the present time. Therefore, it is of great practical value to design a model that can aut...

  • Article
  • Open Access
12 Citations
4,280 Views
26 Pages

Detection and Diagnosis of Stator and Rotor Electrical Faults for Three-Phase Induction Motor via Wavelet Energy Approach

  • Ameer M. Hussein,
  • Adel A. Obed,
  • Rana H. A. Zubo,
  • Yasir I. A. Al-Yasir,
  • Ameer L. Saleh,
  • Hussein Fadhel,
  • Akbar Sheikh-Akbari,
  • Geev Mokryani and
  • Raed A. Abd-Alhameed

This paper presents a fault detection method in three-phase induction motors using Wavelet Packet Transform (WPT). The proposed algorithm takes a frame of samples from the three-phase supply current of an induction motor. The three phase current samp...

  • Article
  • Open Access
37 Citations
3,468 Views
25 Pages

A Risk Curtailment Strategy for Solar PV-Battery Integrated Competitive Power System

  • Arup Das,
  • Subhojit Dawn,
  • Sadhan Gope and
  • Taha Selim Ustun

Power system networks are becoming more complex and decentralized with the foreword of deregulation in the global power sector. In this scenario, an independent system operator (ISO) is responsible for determining the appropriate actions to deliver s...

  • Article
  • Open Access
15 Citations
4,544 Views
26 Pages

Video Streaming Adaptive QoS Routing with Resource Reservation (VQoSRR) Model for SDN Networks

  • Majda Omer Elbasheer,
  • Abdulaziz Aldegheishem,
  • Nabil Alrajeh and
  • Jaime Lloret

Video streaming has become extremely widespread, especially with the growing number of users and the spread of mobile devices, along with the increase in the availability and diversity of multimedia applications and communication technologies. Real-t...

  • Article
  • Open Access
3 Citations
2,794 Views
14 Pages

The paper presents theoretical formulas for the extraction of TEM network parameters from coupling matrices. Along with resonator couplings, the circuits realizing external couplings are also considered. The most common coupling techniques are invest...

  • Article
  • Open Access
5 Citations
2,316 Views
13 Pages

WPT system performances highly depend on the misalignment scenarios of the transmitter or the receiver coil. In this contribution, the authors analyze the effect of the misalignment influencing factors of the integrated WPT-PLC system receiving coil...

  • Article
  • Open Access
2 Citations
1,990 Views
12 Pages

This article addresses the problem of the detection of range-spread targets in the presence of Gaussian disturbance which are in possession of unidentified covariance matrices. The detectors have been derived by resorting to a design composed of two...

  • Article
  • Open Access
9 Citations
2,485 Views
17 Pages

In this paper, an improved cuckoo search-learning-based optimization algorithm (CSLBOA) for the maximum power point tracking (MPPT) of a photovoltaic module array is presented. For any shading discovered on a photovoltaic module array, there will be...

  • Article
  • Open Access
31 Citations
4,412 Views
11 Pages

Automatic Classification of Normal–Abnormal Heart Sounds Using Convolution Neural Network and Long-Short Term Memory

  • Ding Chen,
  • Weipeng Xuan,
  • Yexing Gu,
  • Fuhai Liu,
  • Jinkai Chen,
  • Shudong Xia,
  • Hao Jin,
  • Shurong Dong and
  • Jikui Luo

The phonocardiogram (PCG) is an important analysis method for the diagnosis of cardiovascular disease, which is usually performed by experienced medical experts. Due to the high ratio of patients to doctors, there is a pressing need for a real-time a...

  • Article
  • Open Access
3 Citations
5,635 Views
17 Pages

In-Memory Computing Architecture for a Convolutional Neural Network Based on Spin Orbit Torque MRAM

  • Jun-Ying Huang,
  • Jing-Lin Syu,
  • Yao-Tung Tsou,
  • Sy-Yen Kuo and
  • Ching-Ray Chang

Recently, numerous studies have investigated computing in-memory (CIM) architectures for neural networks to overcome memory bottlenecks. Because of its low delay, high energy efficiency, and low volatility, spin-orbit torque magnetic random access me...

  • Article
  • Open Access
11 Citations
2,672 Views
18 Pages

Optimal Coordinated Control Strategy of Clustered DC Microgrids under Load-Generation Uncertainties Based on GWO

  • Zaid Hamid Abdulabbas Al-Tameemi,
  • Tek Tjing Lie,
  • Gilbert Foo and
  • Frede Blaabjerg

The coordination of clustered microgrids (MGs) needs to be achieved in a seamless manner to tackle generation-load mismatch among MGs. A hierarchical control strategy based on PI controllers for local and global layers has been proposed in the litera...

  • Article
  • Open Access
3 Citations
2,844 Views
16 Pages

Design and Performance Tests of a Fault Current-Limiting-Type Tri-Axial HTS Cable Prototype

  • Yajun Xia,
  • Yuntao Song,
  • Tao Ma,
  • Jinxing Zheng,
  • Huajun Liu,
  • Fang Liu and
  • Meng Song

Current-limiting superconducting cable uses the quench resistance of superconductor under short-circuit current to improve the short-circuit impedance of the system. In this paper, the design of current-limiting 10 kV three-phase tri-axial supercondu...

  • Article
  • Open Access
3 Citations
2,192 Views
19 Pages

Receding horizon controllers are special approximations of optimal controllers in which the continuous time variable is discretized over a horizon of optimization. The cost function is defined as the sum of contributions calculated in the grid points...

  • Article
  • Open Access
2,413 Views
14 Pages

Partial Atrous Cascade R-CNN

  • Mofan Cheng,
  • Cien Fan,
  • Liqiong Chen,
  • Lian Zou,
  • Jiale Wang,
  • Yifeng Liu and
  • Hu Yu

Deep-learning-based segmentation methods have achieved excellent results. As two main tasks in computer vision, instance segmentation and semantic segmentation are closely related and mutually beneficial. Spatial context information from the semantic...

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Electronics - ISSN 2079-9292