Skip to Content

Electronics, Volume 12, Issue 12

2023 June-2 - 203 articles

Cover Story: The rise of the metaverse holds the promise of bridging the gap between the physical and virtual realms, offering users immersive experiences. As interactions within the metaverse increase, the ability to experience physical touch, such as handshakes, can greatly enhance virtual interactions. In this research, we propose the design and implementation of digital twin robotic arms which enable individuals to engage in realistic remote handshakes. The findings demonstrate a strong interest among participants in utilizing this system to partake in meaningful handshakes. Furthermore, we have identified correlations between handshake characteristics and participants' personality traits. These digital twin robotic arms serve as a bridge between the physical and digital worlds, heightening the sense of immersion in the metaverse. View this paper
  • Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
  • You may sign up for email alerts to receive table of contents of newly released issues.
  • PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.

Articles (203)

  • Article
  • Open Access
8 Citations
2,662 Views
19 Pages

Fabric–Metal Barrier for Low Specific Absorption Rate and Wide-Band Felt Substrate Antenna for Medical and 5G Applications

  • Fatimah Fawzi Hashim,
  • Wan Nor Liza Binti Wan Mahadi,
  • Tarik Bin Abdul Latef and
  • Mohamadariff Bin Othman

This study proposed the dimensions of 55 mm × 34 mm × 1 mm for wearable antenna; the copper Y-slot patch and copper partial ground are attached to a felt substrate. The partial ground has the higher impact in antenna gain enhancement comp...

  • Feature Paper
  • Article
  • Open Access
13 Citations
3,340 Views
18 Pages

With the emergence of Network Function Virtualization (NFV) and Software-Defined Networks (SDN), Service Function Chaining (SFC) has evolved into a popular paradigm for carrying and fulfilling network services. However, the implementation of Mobile E...

  • Article
  • Open Access
2 Citations
2,589 Views
19 Pages

An Ultrathin Low-Profile Tightly Coupled Dipole Array Fed by Compact Zigzagging Baluns

  • Weiwei Wu,
  • Yuchen Yan,
  • Shaozhi Wang,
  • Yuhong Ma and
  • Naichang Yuan

In this paper, we propose for the first time a novel feed approach to a tightly coupled dipole array (TCDA). Firstly, compact zigzagging microstrip feedlines are utilized as baluns to feed our array elements to obtain wideband impedance-matching char...

  • Article
  • Open Access
1 Citations
2,262 Views
20 Pages

Three-Dimensional Point Cloud-Filtering Method Based on Image Segmentation and Absolute Phase Recovery

  • Jianmin Zhang,
  • Jiale Long,
  • Zihao Du,
  • Yi Ding,
  • Yuyang Peng and
  • Jiangtao Xi

In three-dimensional (3D) shape measurement based on fringe projection, various factors can degrade the quality of the point cloud. Existing point cloud filtering methods involve analyzing the geometric relationship between 3D space and point cloud,...

  • Article
  • Open Access
3 Citations
2,339 Views
17 Pages

In Computed Tomography (CT) images of the coronary arteries, the segmentation of calcified plaques is extremely important for the examination, diagnosis, and treatment of coronary heart disease. However, one characteristic of the lesion is that it ha...

  • Article
  • Open Access
19 Citations
4,542 Views
15 Pages

Robust Adaptive Beamforming Based on a Convolutional Neural Network

  • Zhipeng Liao,
  • Keqing Duan,
  • Jinjun He,
  • Zizhou Qiu and
  • Binbin Li

To address the advancements in jamming technology, it is imperative to consider robust adaptive beamforming (RBF) methods with finite snapshots and gain/phase (G/P) errors. This paper introduces an end-to-end RBF approach that utilizes a two-stage co...

  • Article
  • Open Access
19 Citations
3,243 Views
22 Pages

This paper addresses the issue of external unknown environmental interference affecting the trajectory tracking performance and driving stability of autonomous vehicles. This seriously impacts the performance and stability of the vehicle while drivin...

  • Article
  • Open Access
16 Citations
5,862 Views
20 Pages

Design and Implementation of a Hierarchical Digital Twin for Power Systems Using Real-Time Simulation

  • Stephan Ruhe,
  • Kevin Schaefer,
  • Stefan Branz,
  • Steffen Nicolai,
  • Peter Bretschneider and
  • Dirk Westermann

This paper presents a hierarchical Digital Twin architecture and implementation that uses real-time simulation to emulate the physical grid and support grid planning and operation. With the demand for detailed grid information for automated grid oper...

  • Article
  • Open Access
7 Citations
2,777 Views
21 Pages

Identification of Indoor Radio Environment Properties from Channel Impulse Response with Machine Learning Models

  • Teodora Kocevska,
  • Tomaž Javornik,
  • Aleš Švigelj,
  • Aleksandra Rashkovska and
  • Andrej Hrovat

The design and optimization of next-generation indoor wireless communication networks require detailed and precise descriptions of the indoor environments. Environmental awareness can serve as a fundamental basis for the dynamic adaptation of the wir...

  • Article
  • Open Access
25 Citations
5,572 Views
18 Pages

BiGA-YOLO: A Lightweight Object Detection Network Based on YOLOv5 for Autonomous Driving

  • Jun Liu,
  • Qiqin Cai,
  • Fumin Zou,
  • Yintian Zhu,
  • Lyuchao Liao and
  • Feng Guo

Object detection in autonomous driving scenarios has become a popular task in recent years. Due to the high-speed movement of vehicles and the complex changes in the surrounding environment, objects of different scales need to be detected, which plac...

  • Article
  • Open Access
15 Citations
3,472 Views
20 Pages

In order to address the issue of power loss resulting from partial shadow and enhance the efficiency of photovoltaic power generation, the photovoltaic array reconfiguration technology is being increasingly utilized in photovoltaic power generation s...

  • Article
  • Open Access
23 Citations
5,806 Views
15 Pages

Deep Comparisons of Neural Networks from the EEGNet Family

  • Csaba Márton Köllőd,
  • András Adolf,
  • Kristóf Iván,
  • Gergely Márton and
  • István Ulbert

A preponderance of brain–computer interface (BCI) publications proposing artificial neural networks for motor imagery (MI) electroencephalography (EEG) signal classification utilize one of the BCI Competition datasets. However, these databases...

  • Article
  • Open Access
4 Citations
2,065 Views
26 Pages

Chaos Moth Flame Algorithm for Multi-Objective Dynamic Economic Dispatch Integrating with Plug-In Electric Vehicles

  • Wenqiang Yang,
  • Xinxin Zhu,
  • Fuquan Nie,
  • Hongwei Jiao,
  • Qinge Xiao and
  • Zhile Yang

Dynamic economic dispatch (DED) plays an important role in the operation and control of power systems. The integration of DED with space and time makes it a complex and challenging problem in optimal decision making. By connecting plug-in electric ve...

  • Article
  • Open Access
6 Citations
2,722 Views
20 Pages

An FPGA Architecture for the RRT Algorithm Based on Membrane Computing

  • Zeyi Shang,
  • Zhe Wei,
  • Sergey Verlan,
  • Jianming Li and
  • Zhige He

This paper investigates an FPGA architecture whose primary function is to accelerate parallel computations involved in the rapid-exploring random tree (RRT) algorithm. The RRT algorithm is inherently serial, while in each computing step there are man...

  • Article
  • Open Access
5 Citations
2,125 Views
19 Pages

MGFCTFuse: A Novel Fusion Approach for Infrared and Visible Images

  • Shuai Hao,
  • Jiahao Li,
  • Xu Ma,
  • Siya Sun,
  • Zhuo Tian and
  • Le Cao

Traditional deep-learning-based fusion algorithms usually take the original image as input to extract features, which easily leads to a lack of rich details and background information in the fusion results. To address this issue, we propose a fusion...

  • Article
  • Open Access
10 Citations
3,362 Views
16 Pages

Lightweight Small Target Detection Algorithm with Multi-Feature Fusion

  • Rujin Yang,
  • Jingwei Zhang,
  • Xinna Shang and
  • Wenfa Li

Unmanned aerial vehicles (UAVs) are a highly sought-after technology with numerous applications in both military and non-military uses. The identification of targets is a crucial aspect of UAV applications, but there are challenges associated with co...

  • Article
  • Open Access
2 Citations
3,774 Views
16 Pages

For the first time, an extensive theoretical comparative study of the electronic structure and spectra of the η5-cyclopentadienyl half-sandwich [(Cp)(EPh3)], E = Se, Te) organochalcogenides was carried out using direct space electronic structure...

  • Article
  • Open Access
6 Citations
3,782 Views
23 Pages

The node–edge–cloud collaborative computation paradigm has introduced new security challenges to data sharing. Existing data-sharing schemes suffer from limitations such as low efficiency and inflexibility and are not easily integrated wi...

  • Article
  • Open Access
6 Citations
2,656 Views
16 Pages

Load Disaggregation Based on a Bidirectional Dilated Residual Network with Multihead Attention

  • Yifei Shu,
  • Jieying Kang,
  • Mei Zhou,
  • Qi Yang,
  • Lai Zeng and
  • Xiaomei Yang

Load disaggregation determines appliance-level energy consumption unintrusively from aggregated consumption measured by a single meter. Deep neural networks have been proven to have great potential in load disaggregation. In this article, a temporal...

  • Communication
  • Open Access
1,739 Views
10 Pages

Self-location plays a crucial role in a framework of autonomous navigation, especially in a GNSS/radio-denied environment. At the current time, self-location for artificial agents still has to resort to the visual and laser technologies in the framew...

  • Article
  • Open Access
4 Citations
4,121 Views
17 Pages

The generation of standardized requirements specification documents plays a crucial role in software processes. However, the manual composition of software requirements specifications is a laborious and time-consuming task, often leading to errors th...

  • Article
  • Open Access
15 Citations
4,777 Views
24 Pages

The present work analyzed the influence of the particle size of irregular aluminum powder on the properties of Binder-Jetting-printed parts, which can be used as electronic components. Powders of various particle sizes as well as blends in the ratio...

  • Article
  • Open Access
11 Citations
2,986 Views
18 Pages

In recent years, radar, especially frequency-modulated continuous wave (FMCW) radar, has been extensively used in non-contact vital signs (NCVS) research. However, current research does not work when multiple human targets are close to each other, es...

  • Article
  • Open Access
1 Citations
2,244 Views
20 Pages

The proliferation of flying ad hoc networks (FANETs) enables multiple applications in various scenarios. In order to construct and maintain an effective hierarchical structure in FANETs where mobile nodes proceed at high mobility, we propose a novel...

  • Review
  • Open Access
80 Citations
18,885 Views
49 Pages

Deep-Learning-Based Approaches for Semantic Segmentation of Natural Scene Images: A Review

  • Busra Emek Soylu,
  • Mehmet Serdar Guzel,
  • Gazi Erkan Bostanci,
  • Fatih Ekinci,
  • Tunc Asuroglu and
  • Koray Acici

The task of semantic segmentation holds a fundamental position in the field of computer vision. Assigning a semantic label to each pixel in an image is a challenging task. In recent times, significant advancements have been achieved in the field of s...

  • Article
  • Open Access
12 Citations
3,151 Views
18 Pages

FPGA-Based Chaotic Image Encryption Using Systolic Arrays

  • Furkan Ciylan,
  • Bünyamin Ciylan and
  • Mehmet Atak

Along with the recent advancements in video streaming, concerns over the security of transferred data have increased. Thus, the development of fast and reliable image encryption methodologies has become an emerging research area in the field of commu...

  • Article
  • Open Access
4 Citations
2,165 Views
15 Pages

Seismic Data Query Algorithm Based on Edge Computing

  • Tenglong Quan,
  • Huifeng Zhang,
  • Yonghao Yu,
  • Yongwei Tang,
  • Fushun Liu and
  • Hao Hao

Edge computing can reduce the transmission pressure of wireless networks in earthquakes by pushing computing functionalities to network edges and avoiding the data transmission to cloud servers. However, this also leads to the scattered storage of da...

  • Article
  • Open Access
3 Citations
2,371 Views
14 Pages

A Transformer-Based Cross-Window Aggregated Attentional Image Inpainting Model

  • Mingju Chen,
  • Tingting Liu,
  • Xingzhong Xiong,
  • Zhengxu Duan and
  • Anle Cui

To overcome the fault of convolutional networks, which can be over-smooth, blurred, or discontinuous, a novel transformer network with cross-window aggregated attention is proposed. Our network as a whole is constructed as a generative adversarial ne...

  • Article
  • Open Access
3 Citations
3,034 Views
15 Pages

IoT Device Identification Method Based on Causal Inference

  • Xingkui Wang,
  • Yunhao Wu,
  • Dan Yu,
  • Yuli Yang,
  • Yao Ma and
  • Yongle Chen

With the development of 5G, the number of IoT (Internet of Things) devices connected to the Internet will grow explosively. However, due to the vulnerability of the devices, attackers can launch attacks on the vulnerable IoT devices, causing great im...

  • Communication
  • Open Access
4 Citations
2,802 Views
12 Pages

A Streaming Data Processing Architecture Based on Lookup Tables

  • Aximu Yuemaier,
  • Xiaogang Chen,
  • Xingyu Qian,
  • Weibang Dai,
  • Shunfen Li and
  • Zhitang Song

Processing in memory (PIM) is a new computing paradigm that stores the function values of some input modes in a lookup table (LUT) and retrieves their values when similar input modes are encountered (instead of performing online calculations), which...

  • Article
  • Open Access
6 Citations
2,440 Views
15 Pages

The widespread adoption and utilization of electric vehicles has been constrained by power battery performance. We proposed a fault diagnosis method for power batteries based on multiple-model fusion. The method effectively fused the advantages of va...

  • Article
  • Open Access
13 Citations
5,273 Views
22 Pages

Due to the widespread use of low-power embedded devices in both industrial and consumer applications, research into the use of alternate energy sources has been sparked by the requirement for continuous power. Due to its accessibility and ability to...

  • Article
  • Open Access
40 Citations
19,096 Views
19 Pages

Emergent Cooperation and Strategy Adaptation in Multi-Agent Systems: An Extended Coevolutionary Theory with LLMs

  • I. de Zarzà,
  • J. de Curtò,
  • Gemma Roig,
  • Pietro Manzoni and
  • Carlos T. Calafate

The increasing complexity of Multi-Agent Systems (MASs), coupled with the emergence of Artificial Intelligence (AI) and Large Language Models (LLMs), have highlighted significant gaps in our understanding of the behavior and interactions of diverse e...

  • Article
  • Open Access
18 Citations
2,093 Views
21 Pages

Economic Optimization Scheduling Based on Load Demand in Microgrids Considering Source Network Load Storage

  • Yuling He,
  • Xuewei Wu,
  • Kai Sun,
  • Xiaodong Du,
  • Haipeng Wang and
  • Jianli Zhao

As a large number of flexible elements such as distributed power and flexible load are connected to microgrids, the economic improvement of microgrids has become an important topic through rational energy distribution. In this paper, an economic sche...

  • Article
  • Open Access
8 Citations
5,541 Views
12 Pages

Machine Learning and Cochlear Implantation: Predicting the Post-Operative Electrode Impedances

  • Yousef A. Alohali,
  • Mahmoud Samir Fayed,
  • Yassin Abdelsamad,
  • Fida Almuhawas,
  • Asma Alahmadi,
  • Tamer Mesallam and
  • Abdulrahman Hagr

Cochlear implantation is the common treatment for severe to profound sensorineural hearing loss if there is no benefit from hearing aids. Measuring the electrode impedance along the electrode array at different time points after surgery is crucial in...

  • Article
  • Open Access
36 Citations
2,559 Views
15 Pages

An AI-Enhanced Strategy of Service Offloading for IoV in Mobile Edge Computing

  • Hongyu Peng,
  • Xiaosong Zhang,
  • Hongwu Li,
  • Lexi Xu and
  • Xiaodong Wang

A full connected world is expected to be introduced in the sixth generation mobile network (6G). As a typical fully connected scenario, the internet of vehicle (IoV) enables intelligent vehicle operations via artificial intelligence (AI) and edge com...

  • Article
  • Open Access
30 Citations
5,178 Views
19 Pages

Improved BIGRU Model and Its Application in Stock Price Forecasting

  • Yuanshuai Duan,
  • Yuanxin Liu,
  • Yi Wang,
  • Shangsheng Ren and
  • Yibo Wang

In order to obtain better prediction results, this paper combines improved complete ensemble EMD (ICEEMDAN) and the whale algorithm of multi-objective optimization (MOWOA) to improve the bidirectional gated recurrent unit (BIGRU), which makes full us...

  • Article
  • Open Access
2 Citations
3,764 Views
12 Pages

The baseband signal of the 406 MHz COSPAS-SARSAT emergency beacon is a 144-bit or 112-bit data with 0 and 1 code, including the information bits and error correcting check bits. In order to improve the coding efficiency of the baseband signal for the...

  • Article
  • Open Access
5 Citations
7,077 Views
21 Pages

Embedding-Based Deep Neural Network and Convolutional Neural Network Graph Classifiers

  • Sarah G. Elnaggar,
  • Ibrahim E. Elsemman and
  • Taysir Hassan A. Soliman

One of the most significant graph data analysis tasks is graph classification, as graphs are complex data structures used for illustrating relationships between entity pairs. Graphs are essential in many domains, such as the description of chemical m...

  • Article
  • Open Access
4 Citations
2,053 Views
17 Pages

A Laser Data Compensation Algorithm Based on Indoor Depth Map Enhancement

  • Xiaoni Chi,
  • Qinyuan Meng,
  • Qiuxuan Wu,
  • Yangyang Tian,
  • Hao Liu,
  • Pingliang Zeng,
  • Botao Zhang and
  • Chaoliang Zhong

The field of mobile robotics has seen significant growth regarding the use of indoor laser mapping technology, but most two-dimensional Light Detection and Ranging (2D LiDAR) can only scan a plane of fixed height, and it is difficult to obtain the in...

  • Article
  • Open Access
4 Citations
3,933 Views
25 Pages

Two-level DC/AC inverter topologies are widely used for low voltage and high voltage applications in power systems and industrial areas. Space Vector Modulation (SVM) is a popular Pulse-Width Modulation technique used for controlling the inverters an...

  • Article
  • Open Access
5 Citations
2,261 Views
22 Pages

Damage to bridge expansion joints arises from a variety of causes such as increasingly deteriorated bridges, abnormal temperatures, and increased traffic. To detect anomalies in the expansion joints, this study proposes an Artificial Intelligence (AI...

  • Article
  • Open Access
1 Citations
4,148 Views
17 Pages

Knowledge Discovery in Databases for a Football Match Result

  • Szymon Głowania,
  • Jan Kozak and
  • Przemysław Juszczuk

The analysis of sports data and the possibility of using machine learning in the prediction of sports results is an increasingly popular topic of research and application. The main problem, apart from choosing the right algorithm, is to obtain data t...

  • Article
  • Open Access
5 Citations
2,856 Views
17 Pages

Radar cross section (RCS) is a scattering measure of an object that scatters to the radar. However, existing methods for near-field (NF) measurement and data processing rarely extract amplitude characteristics, and there is a lack of effective verifi...

  • Article
  • Open Access
12 Citations
8,112 Views
49 Pages

Survey of Reliability Research on 3D Packaged Memory

  • Shuai Zhou,
  • Kaixue Ma,
  • Yugong Wu,
  • Peng Liu,
  • Xianghong Hu,
  • Guojian Nie,
  • Yan Ren,
  • Baojun Qiu,
  • Nian Cai and
  • Han Wang
  • + 1 author

As the core carrier of information storage, a semiconductor memory device is a basic product with a large volume that is widespread in the integrated circuit industry. With the rapid development of semiconductor manufacturing processes and materials,...

  • Article
  • Open Access
5 Citations
3,184 Views
20 Pages

Forensic Analysis Laboratory for Sport Devices: A Practical Use Case

  • Pablo Donaire-Calleja,
  • Antonio Robles-Gómez,
  • Llanos Tobarra and
  • Rafael Pastor-Vargas

At present, the mobile device sector is experiencing significant growth. In particular, wearable devices have become a common element in society. This fact implies that users unconsciously accept the constant dynamic collection of private data about...

  • Article
  • Open Access
2 Citations
1,816 Views
19 Pages

With the surge in tasks for in-vehicle terminals, the resulting network congestion and time delay cannot meet the service needs of users. Offloading algorithms are introduced to handle vehicular tasks, which will greatly improve the above problems. I...

  • Article
  • Open Access
17 Citations
10,484 Views
21 Pages

An Efficient Approach to Face Emotion Recognition with Convolutional Neural Networks

  • Christian Białek,
  • Andrzej Matiolański and
  • Michał Grega

Solutions for emotion recognition are becoming more popular every year, especially with the growth of computer vision. In this paper, classification of emotions is conducted based on images processed with convolutional neural networks (CNNs). Several...

  • Article
  • Open Access
10 Citations
2,893 Views
22 Pages

Attention Mechanisms in Convolutional Neural Networks for Nitrogen Treatment Detection in Tomato Leaves Using Hyperspectral Images

  • Brahim Benmouna,
  • Raziyeh Pourdarbani,
  • Sajad Sabzi,
  • Ruben Fernandez-Beltran,
  • Ginés García-Mateos and
  • José Miguel Molina-Martínez

Nitrogen is an essential macronutrient for the growth and development of tomatoes. However, excess nitrogen fertilization can affect the quality of tomato fruit, making it unattractive to consumers. Consequently, the aim of this study is to develop a...

  • Article
  • Open Access
3,102 Views
16 Pages

Distribution systems are mostly composed of radial structures, which are susceptible to an increased variability and complexity of system operation due to frequent line changes during operation. When multiple changes in distribution lines occur simul...

of 5

XFacebookLinkedIn
Electronics - ISSN 2079-9292