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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
3,720 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...

  • Article
  • Open Access
5 Citations
3,193 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...

  • Article
  • Open Access
4 Citations
4,271 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...

  • Article
  • Open Access
90 Citations
6,250 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...

  • Article
  • Open Access
4 Citations
3,080 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...

  • Article
  • Open Access
6 Citations
2,453 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...

  • Article
  • Open Access
24 Citations
4,026 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...

  • Feature Paper
  • Article
  • Open Access
4 Citations
2,184 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...

  • Article
  • Open Access
5 Citations
4,414 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...

  • Article
  • Open Access
11 Citations
8,260 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...

  • Feature Paper
  • Article
  • Open Access
9 Citations
3,253 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...

  • Article
  • Open Access
1 Citations
2,116 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...

  • Article
  • Open Access
2,818 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...

  • Article
  • Open Access
2,307 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...

  • Review
  • Open Access
29 Citations
5,722 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...

  • Article
  • Open Access
34 Citations
5,435 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...

  • Feature Paper
  • Article
  • Open Access
4 Citations
2,513 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...

  • Article
  • Open Access
17 Citations
2,179 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,...

  • Article
  • Open Access
11 Citations
3,336 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...

  • Article
  • Open Access
6 Citations
2,823 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...

  • Article
  • Open Access
8 Citations
4,292 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-...

  • Article
  • Open Access
4 Citations
3,147 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...

  • Article
  • Open Access
3 Citations
2,960 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...

  • Article
  • Open Access
41 Citations
5,989 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...

  • Article
  • Open Access
8 Citations
2,459 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...

  • Article
  • Open Access
4 Citations
3,806 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...

  • Communication
  • Open Access
2 Citations
2,287 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
4,367 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...

  • Feature Paper
  • Article
  • Open Access
20 Citations
3,998 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...

  • Article
  • Open Access
2 Citations
4,399 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...

  • Article
  • Open Access
24 Citations
3,565 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,...

  • Feature Paper
  • Article
  • Open Access
15 Citations
2,948 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,...

  • Feature Paper
  • Article
  • Open Access
6 Citations
2,225 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...

  • Article
  • Open Access
1,846 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...

  • Article
  • Open Access
56 Citations
11,606 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...

  • Article
  • Open Access
5 Citations
1,901 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...

  • Article
  • Open Access
22 Citations
6,627 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...

  • Article
  • Open Access
6 Citations
3,192 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...

  • Article
  • Open Access
2 Citations
2,176 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...

  • Article
  • Open Access
8 Citations
4,236 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...

  • Communication
  • Open Access
5 Citations
3,847 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...

  • Article
  • Open Access
13 Citations
3,960 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...

  • Feature Paper
  • Article
  • Open Access
8 Citations
3,795 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...

  • Article
  • Open Access
2 Citations
1,844 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...

  • Article
  • Open Access
14 Citations
3,195 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...

  • Article
  • Open Access
14 Citations
2,743 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...

  • Article
  • Open Access
8 Citations
4,258 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
3 Citations
4,707 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...

  • Article
  • Open Access
43 Citations
5,695 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...

  • Article
  • Open Access
21 Citations
24,731 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...

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Electronics - ISSN 2079-9292