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Electronics, Volume 12, Issue 2

2023 January-2 - 220 articles

Cover Story: In this study, we investigate an AI-enabled detection method to discover multi-level attacks and malware in Smart Environments. The proposed method facilitates proactively tracking network traffic data to detect malware and attacks in the IoT ecosystem. Moreover, the novel approach makes smart environments more secure and aware of possible future threats. The performance and concurrency testing of the deep neural network (DNN) model deployed in IoT devices are computed to validate the possibility of in-production implementation. By deploying the DNN model on the selected IoT gateways, the result with precise measurement of the power consumption and concurrency testing shows that our framework detects malware and attacks smart environments accurately and efficiently. View this paper
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Articles (220)

  • Article
  • Open Access
1 Citations
4,193 Views
18 Pages

Handwritten Numeral Recognition Integrating Start–End Points Measure with Convolutional Neural Network

  • M. A. H. Akhand,
  • Md. Rahat-Uz-Zaman,
  • Shadmaan Hye and
  • Md Abdus Samad Kamal

Convolutional neural network (CNN) based methods have succeeded for handwritten numeral recognition (HNR) applications. However, CNN seems to misclassify similarly shaped numerals (i.e., the silhouette of the numerals that look the same). This paper...

(This article belongs to the Special Issue Feature Papers in Computer Science & Engineering)
  • Article
  • Open Access
5 Citations
3,798 Views
18 Pages

Linear Active Disturbance Rejection Control for a Laser Powder Bed Fusion Additive Manufacturing Process

  • S. Zahid Hussain,
  • Zareena Kausar,
  • Zafar Ullah Koreshi,
  • Muhammad Faizan Shah,
  • Ahmd Abdullah and
  • Muhammad Umer Farooq

Functional metal parts with complicated geometry and internal features for the aerospace and automotive industries can be created using the laser powder bed fusion additive manufacturing (AM) technique. However, the lack of uniform quality of the pro...

(This article belongs to the Special Issue Feature Papers in Systems & Control Engineering)
  • Article
  • Open Access
5 Citations
4,865 Views
19 Pages

Human–object interaction (HOI) detection is important for promoting the development of many fields such as human–computer interactions, service robotics, and video security surveillance. A high percentage of human–object pairs with...

(This article belongs to the Special Issue Advances in Intelligent Systems and Networks)
  • Article
  • Open Access
113 Citations
6,958 Views
14 Pages

A Novel Framework for Classification of Different Alzheimer’s Disease Stages Using CNN Model

  • Gowhar Mohi ud din dar,
  • Avinash Bhagat,
  • Syed Immamul Ansarullah,
  • Mohamed Tahar Ben Othman,
  • Yasir Hamid,
  • Hend Khalid Alkahtani,
  • Inam Ullah and
  • Habib Hamam

Background: Alzheimer’s, the predominant formof dementia, is a neurodegenerative brain disorder with no known cure. With the lack of innovative findings to diagnose and treat Alzheimer’s, the number of middle-aged people with dementia is...

(This article belongs to the Special Issue Advances in Fuzzy and Intelligent Systems)
  • Article
  • Open Access
4 Citations
3,543 Views
14 Pages

A 10 GHz Compact Balun with Common Inductor on CMOS Process

  • Chatrpol Pakasiri,
  • Jian-Long Xu and
  • Sen Wang

This paper presents a compact balun with a common inductor design. The design used Wilkinson-type balun topology with modified lumped transmission lines and a common inductor to realize circuit size reduction on a lossy CMOS process. Measurements of...

(This article belongs to the Section Microwave and Wireless Communications)
  • Article
  • Open Access
8 Citations
2,834 Views
22 Pages

In order to solve the low accuracy in rolling bearing fault diagnosis caused by irrelevant and redundant features, a feature selection method based on a clustering hybrid binary cuckoo search is proposed. First, the measured motor signal is processed...

(This article belongs to the Special Issue Fault Detection, Diagnosis, and Prognosis Techniques towards System Reliability Enhancement)
  • Article
  • Open Access
27 Citations
4,440 Views
13 Pages

Efficient Training on Alzheimer’s Disease Diagnosis with Learnable Weighted Pooling for 3D PET Brain Image Classification

  • Xin Xing,
  • Muhammad Usman Rafique,
  • Gongbo Liang,
  • Hunter Blanton,
  • Yu Zhang,
  • Chris Wang,
  • Nathan Jacobs and
  • Ai-Ling Lin

Three-dimensional convolutional neural networks (3D CNNs) have been widely applied to analyze Alzheimer’s disease (AD) brain images for a better understanding of the disease progress or predicting the conversion from cognitively impaired (CU) o...

(This article belongs to the Special Issue Medical Image Processing Using AI)
  • Feature Paper
  • Article
  • Open Access
5 Citations
2,402 Views
15 Pages

The evaluation of heart health status is the reference standard for measuring the intensity of exercise performed by different individuals. Thus, the effective analysis of heart conditions is an important research topic. In this study, we propose a s...

(This article belongs to the Section Artificial Intelligence)
  • Article
  • Open Access
8 Citations
5,522 Views
13 Pages

The performance of analog and RF circuits is widely affected by the interconnection parasitic in the circuit. With the progress of technology, interconnection parasitics plays a larger role in performance deterioration. To solve this problem, designe...

(This article belongs to the Collection Advanced Design Techniques and EDA Methodologies for Analog, RF and MM-Wave Circuit Design)
  • Article
  • Open Access
15 Citations
9,757 Views
18 Pages

Dual-Core Lockstep (DCLS) is one of the most commonly used techniques in applications requiring functional safety. As the semiconductor process nodes keep shrinking, the DCLS technique is also more and more frequently seen in industrial or even consu...

(This article belongs to the Special Issue Design, Fabrication and Testing of Integrated Circuits and Systems)
  • Feature Paper
  • Article
  • Open Access
12 Citations
3,999 Views
14 Pages

Software-defined networks (SDNs) are computer networks where parameters and devices are configured by software. Recently, artificial intelligence aspects have been used for SDN programs for various applications, including packet classification and fo...

(This article belongs to the Section Networks)
  • Article
  • Open Access
1 Citations
2,418 Views
13 Pages

The characteristics of load-independent constant current (CC) output and zero phase angle (ZPA) operation are required in many scenarios of inductive power transfer (IPT) applications. However, the existing topologies with CC output characteristics u...

(This article belongs to the Special Issue Advanced RF, Microwave Engineering, and High-Power Microwave Sources)
  • Article
  • Open Access
3,259 Views
23 Pages

With the rapid evolution of network technologies over recent years, emerging network services, especially industrial control networks, video conferencing, intelligent driving, and other scenarios, have put forward higher demand for the low-latency fo...

(This article belongs to the Section Networks)
  • Article
  • Open Access
2,705 Views
20 Pages

Viruses are one of the main threats to the security of today’s cyberspace. With the continuous development of virus and artificial intelligence technologies in recent years, the intelligentization of virus technology has become a trend. It is o...

(This article belongs to the Special Issue AI in Cybersecurity)
  • Review
  • Open Access
35 Citations
6,377 Views
23 Pages

The Internet of things (IoT) and wireless sensor networks (WSNs) have been rapidly and tremendously developing recently as computing technologies have brought about a significant revolution. Their applications and implementations can be found all aro...

(This article belongs to the Special Issue Applications of Machine Learning in Real World)
  • Article
  • Open Access
40 Citations
6,133 Views
23 Pages

Machine Learning Approach towards LoRaWAN Indoor Localization

  • Toni Perković,
  • Lea Dujić Rodić,
  • Josip Šabić and
  • Petar Šolić

The growth of the Internet of Things (IoT) continues to be rapid, making it an essential part of information technology. As a result, IoT devices must be able to handle data collection, machine-to-machine (M2M) communication, and preprocessing of dat...

(This article belongs to the Section Computer Science & Engineering)
  • Feature Paper
  • Article
  • Open Access
5 Citations
2,819 Views
21 Pages

The estimation accuracy of the mixed matrix is very important to the performance of the underdetermined blind source separation (UBSS) system. To improve the estimation accuracy of the mixed matrix, the sparsity of the mixed signal is required. The n...

(This article belongs to the Section Circuit and Signal Processing)
  • Article
  • Open Access
18 Citations
2,509 Views
17 Pages

3D virtual reality spaces, whether running on desktop environments or on immersive displays, have been noted to support a radically new and highly stimulating way of working with digital content in a variety of application domains. At the same time,...

(This article belongs to the Special Issue Human-Computer Interaction: Current Opportunities and Future Challenges)
  • Article
  • Open Access
17 Citations
3,818 Views
20 Pages

An Ensemble Learning Approach for Reversible Data Hiding in Encrypted Images with Fibonacci Transform

  • Shaiju Panchikkil,
  • Siva Priya Vegesana,
  • V. M. Manikandan,
  • Praveen Kumar Donta,
  • Praveen Kumar Reddy Maddikunta and
  • Thippa Reddy Gadekallu

Reversible data hiding (RDH) is an active area of research in the field of information security. In RDH, a secret can be embedded inside a cover medium. Unlike other data-hiding schemes, RDH becomes important in applications that demand recovery of t...

(This article belongs to the Section Computer Science & Engineering)
  • Article
  • Open Access
7 Citations
3,215 Views
14 Pages

Photonic Multiple Microwave Frequency Measurement System with Single-Branch Detection Based on Polarization Interference

  • Wei Zhu,
  • Jing Li,
  • Miaoxia Yan,
  • Li Pei,
  • Tigang Ning,
  • Jingjing Zheng and
  • Jianshuai Wang

A photonic microwave frequency measurement system with single-branch detection based on polarization interference is proposed. In this scheme, a 15-line non-flat optical frequency comb (OFC) based on sawtooth signal modulation via a Mach–Zehnde...

(This article belongs to the Special Issue Optical Fiber Communications: Innovations and Challenges)
  • Article
  • Open Access
9 Citations
4,793 Views
16 Pages

Online Education Management: A Multivariate Analysis of Students’ Perspectives and Challenges during Online Classes

  • Silvia Puiu,
  • Samuel O. Idowu,
  • Georgeta-Madalina Meghisan-Toma,
  • Roxana Maria Bădîrcea,
  • Nicoleta Mihaela Doran and
  • Alina Georgiana Manta

The aim of the present study is to find solutions for better management of online education, starting from students’ perspectives regarding the challenges they encountered in the last two years when online courses were imposed during the COVID-...

(This article belongs to the Special Issue Innovations and Challenges of Higher Education Institutions in the Post-COVID-19 Era)
  • Article
  • Open Access
4 Citations
3,655 Views
15 Pages

In this paper, we introduce an electronically tuneable band-stop filter based on a dielectric resonator, along with its design principles and equivalent circuit model aimed at the coexistence of intelligent transport systems (ITS) and cellular vehicl...

(This article belongs to the Section Microwave and Wireless Communications)
  • Article
  • Open Access
5 Citations
3,561 Views
21 Pages

Design and Implementation of an Efficient Hardware Coprocessor IP Core for Multi-axis Servo Control Based on Universal SoC

  • Jitong Xin,
  • Meiyi Cha,
  • Luojia Shi,
  • Xiaoliang Jiang,
  • Chunyu Long,
  • Qichun Lin,
  • Hairong Li,
  • Fangcong Wang and
  • Peng Wang

The multi-axis servo control system has been extensively used in industrial control. However, the applications of traditional MCU and DSP chips in high-performance multi-axis servo control systems are becoming increasingly difficult due to their lack...

(This article belongs to the Special Issue Application of Power Electronics Technology in Energy System)
  • Article
  • Open Access
50 Citations
6,992 Views
16 Pages

Effective Resource Allocation Technique to Improve QoS in 5G Wireless Network

  • Ramkumar Jayaraman,
  • Baskar Manickam,
  • Suresh Annamalai,
  • Manoj Kumar,
  • Ashutosh Mishra and
  • Rakesh Shrestha

A 5G wireless network requires an efficient approach to effectively manage and segment the resource. A Centralized Radio Access Network (CRAN) is used to handle complex distributed networks. Specific to network infrastructure, multicast communication...

(This article belongs to the Section Microwave and Wireless Communications)
  • Article
  • Open Access
11 Citations
3,317 Views
21 Pages

In this paper, we analyze the performances of an Enhanced Static Segment Multiplier (ESSM) when the inputs have both uniform and non-uniform distribution. The enhanced segmentation divides the multiplicands into a lower, a middle, and an upper segmen...

(This article belongs to the Special Issue Feature Papers in Circuit and Signal Processing)
  • Article
  • Open Access
4 Citations
4,316 Views
14 Pages

Saliency detection as an active research direction in image understanding and analysis has been studied extensively. In this paper, to improve the accuracy of saliency detection, we propose an efficient unsupervised salient object detection method. T...

(This article belongs to the Special Issue Investigations of Object Detection in Images/Videos Using Various Deep Learning Techniques)
  • Communication
  • Open Access
3 Citations
2,626 Views
9 Pages

Recently, hybrid logic circuits based on magnetic tunnel junctions (MTJs) have been widely investigated to realize zero standby power. However, such hybrid CMOS/MTJ logic circuits suffer from a severe sensing reliability due to the limited tunnel mag...

  • Article
  • Open Access
4 Citations
5,023 Views
12 Pages

In order to measure tunnel illumination with high efficiency and accuracy, a vehicle-mounted tunnel illumination measurement device is designed in this paper. The device comprises a measurement module, a control module, a display module, and a power...

(This article belongs to the Section Circuit and Signal Processing)
  • Feature Paper
  • Article
  • Open Access
27 Citations
4,487 Views
12 Pages

Artificial intelligence is widely used in mathematical modeling. The technical means in mathematical modeling are more and more diversified, especially the application of artificial intelligence algorithm greatly promotes the development of mathemati...

(This article belongs to the Section Systems & Control Engineering)
  • Article
  • Open Access
2 Citations
4,905 Views
12 Pages

Development of deep learning has led to progress in computer vision, including metric learning tasks such as image retrieval, through convolutional neural networks. In image retrieval, the metric distance (i.e., the similarity) between the images nee...

(This article belongs to the Section Computer Science & Engineering)
  • Article
  • Open Access
27 Citations
4,571 Views
13 Pages

FPGA Implementation of a Chaotic Map with No Fixed Point

  • Claudio García-Grimaldo,
  • Ciro Fabián Bermudez-Marquez,
  • Esteban Tlelo-Cuautle and
  • Eric Campos-Cantón

The employment of chaotic maps in a variety of applications such as cryptosecurity, image encryption schemes, communication schemes, and secure communication has been made possible thanks to their properties of high levels of complexity, ergodicity,...

(This article belongs to the Special Issue Embedded and Integrated Circuits and Systems in Real Engineering Applications)
  • Feature Paper
  • Article
  • Open Access
18 Citations
3,441 Views
15 Pages

In July 2022, the World Health Organization (WHO) declared the rapidly spreading monkeypox outbreak a global health emergency; in the future, this may cause the closure of higher education institutions and a shift toward digital learning. As before,...

(This article belongs to the Special Issue Mobile Learning and Technology Enhanced Learning during COVID-19)
  • Feature Paper
  • Article
  • Open Access
8 Citations
2,791 Views
18 Pages

Implementation of the permanent magnet synchronous motor vector control implies strong time dependencies. The control process requires precise measurement of motor shaft position and winding currents to establish correct driving. The tight time depen...

(This article belongs to the Special Issue Embedded Systems: Fundamentals, Design and Practical Applications)
  • Article
  • Open Access
2,076 Views
14 Pages

Development of a Reference Device for the Calibration of Optical One-Shot Time-Interval Measurements

  • Dalibor Kuhinek,
  • Tomislav Bratko,
  • Hrvoje Vukošić and
  • Ivica Gavranić

This paper presents the development of a device that creates two or more light pulses with a precision time delay in a range from microseconds to several seconds and for the purpose of the calibration of velocity of detonation (VOD) measurement instr...

(This article belongs to the Topic Advanced Systems Engineering: Theory and Applications)
  • Article
  • Open Access
75 Citations
12,709 Views
19 Pages

A Skin Disease Classification Model Based on DenseNet and ConvNeXt Fusion

  • Mingjun Wei,
  • Qiwei Wu,
  • Hongyu Ji,
  • Jingkun Wang,
  • Tao Lyu,
  • Jinyun Liu and
  • Li Zhao

Skin disease is one of the most common diseases. Due to the intricate categories of skin diseases, their symptoms being very similar in the early stage, and the lesion samples being extremely unbalanced, their classification is challenging. At the sa...

(This article belongs to the Special Issue Multi-Service Cloud-Based IoT Platforms)
  • Article
  • Open Access
5 Citations
2,151 Views
16 Pages

Nowadays, the classical aperture theory is supplemented by data on the properties of electromagnetic fields in the near radiated field zone. A fundamental feature of the functioning of antennas in this area is the possibility of spatial focusing of e...

(This article belongs to the Special Issue Smart Antenna Optimization Techniques for Wireless Applications)
  • Article
  • Open Access
27 Citations
7,425 Views
17 Pages

Extractive Arabic Text Summarization-Graph-Based Approach

  • Yazan Alaya AL-Khassawneh and
  • Essam Said Hanandeh

With the noteworthy expansion of textual data sources in recent years, easy, quick, and precise text processing has become a challenge for key qualifiers. Automatic text summarization is the process of squeezing text documents into shorter summaries...

(This article belongs to the Special Issue AI for Text Understanding)
  • Article
  • Open Access
7 Citations
3,603 Views
15 Pages

Telerehabilitation with Computer Vision-Assisted Markerless Measures: A Pilot Study with Rett Syndrome Patients

  • Andrea Nucita,
  • Giancarlo Iannizzotto,
  • Michela Perina,
  • Alberto Romano and
  • Rosa Angela Fabio

The use of telerehabilitation systems has shown a significant growth in the past years, demonstrating their crucial relevance in the time of the COVID-19 pandemic. Many devices and sensors have been proposed to analytically measure parameters for pat...

(This article belongs to the Special Issue Human-Computer Interaction: Current Opportunities and Future Challenges)
  • Article
  • Open Access
2 Citations
2,858 Views
17 Pages

When micro-expressions are mixed with normal or macro-expressions, it becomes increasingly challenging to spot them in long videos. Aiming at the specific time prior of micro-expressions (MEs), an ME spotting network called AEM-Net (adaptive enhanced...

(This article belongs to the Special Issue Human Face and Motion Recognition in Video)
  • Article
  • Open Access
8 Citations
4,929 Views
14 Pages

At present, there are many technical methods in the field of target detection, but the detection methods are greatly affected by direct-path signals and need technical support such as extracting pure direct-path signals, so they cannot be used under...

(This article belongs to the Special Issue Advances in Array Signal Processing)
  • Communication
  • Open Access
6 Citations
4,434 Views
13 Pages

Ka-Band Three-Stack CMOS Power Amplifier with Split Layout of External Gate Capacitor for 5G Applications

  • Junhyuk Yang,
  • Jaeyong Lee,
  • Seongjin Jang,
  • Hayeon Jeong and
  • Changkun Park

In this study, we designed a Ka-band two-stage differential power amplifier (PA) using a 65 nm RFCMOS process. To enhance the output power of the PA, a three-stack structure was utilized in the power stage, while the driver stage of the PA was design...

(This article belongs to the Special Issue RF/Microwave Circuits for 5G and Beyond)
  • Article
  • Open Access
17 Citations
4,571 Views
21 Pages

In the era of the Fourth Industrial Revolution, cybercriminals are targeting critical infrastructures such as traffic light systems and smart grids. A major concern is the security of such systems, which can be broken down into a number of categories...

(This article belongs to the Special Issue Security and Privacy in Blockchain/IoT)
  • Feature Paper
  • Article
  • Open Access
10 Citations
4,146 Views
17 Pages

Federated Auto-Meta-Ensemble Learning Framework for AI-Enabled Military Operations

  • Konstantinos Demertzis,
  • Panayotis Kikiras,
  • Charalabos Skianis,
  • Konstantinos Rantos,
  • Lazaros Iliadis and
  • George Stamoulis

One of the promises of AI in the military domain that seems to guarantee its adoption is its broad applicability. In a military context, the potential for AI is present in all operational domains (i.e., land, sea, air, space, and cyber-space) and all...

(This article belongs to the Special Issue Next Generation Networks and Systems Security)
  • Article
  • Open Access
2 Citations
2,109 Views
14 Pages

In this paper, we investigate the trust-degree-based secure relay selection in simultaneous wireless information and power transfer (SWIPT)-enabled relay networks. In particular, we optimize the interference power by selecting the appropriate relay a...

(This article belongs to the Section Microwave and Wireless Communications)
  • Article
  • Open Access
16 Citations
3,519 Views
21 Pages

In this paper, a fuzzy-based evaluation method is presented for the impact of e-learning on several aspects of the learning lives of academic students of Information and Communication Technologies (ICT) during the COVID-19 pandemic. Specifically, the...

(This article belongs to the Section Computer Science & Engineering)
  • Article
  • Open Access
16 Citations
3,113 Views
25 Pages

The output power of a PV (photovoltaic) array decreases due to the partial shading condition (PSC). If one or more PV modules receives less irradiance compared to other PV modules in a PV array then it is called PSC. To enhance the output power of PV...

(This article belongs to the Special Issue Power Electronics for Renewable Energy Systems: Latest Advances and Prospects)
  • Article
  • Open Access
10 Citations
5,202 Views
12 Pages

We present a solution based on blockchain technology and smart contracts for agile project management in light of the continuing transition in the software development industry. Due to the fact that these technologies are self-executing, customized,...

  • Article
  • Open Access
5 Citations
5,578 Views
22 Pages

Hardware description languages and tools require a considerable amount of teaching activities in a digital systems design course, which is difficult to accommodate in a limited time frame, and to use for e-learning. This paper presents our user-frien...

(This article belongs to the Special Issue Mobile Learning and Technology Enhanced Learning during COVID-19)
  • Article
  • Open Access
47 Citations
6,280 Views
19 Pages

IoMT with Deep CNN: AI-Based Intelligent Support System for Pandemic Diseases

  • Sujithra Thandapani,
  • Mohamed Iqbal Mahaboob,
  • Celestine Iwendi,
  • Durai Selvaraj,
  • Ankur Dumka,
  • Mamoon Rashid and
  • Senthilkumar Mohan

The Internet of Medical Things (IoMT) is an extended version of the Internet of Things (IoT). It mainly concentrates on the integration of medical things for servicing needy people who cannot get medical services easily, especially rural area people...

(This article belongs to the Section Bioelectronics)
  • Article
  • Open Access
28 Citations
28,332 Views
11 Pages

The development of social media has triggered important changes in our society and in the way consumers read and trust online information. The presence of consumers in the online environment exposes them to a greater extent to various instances of fa...

(This article belongs to the Section Electronic Multimedia)

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Electronics - ISSN 2079-9292