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Edge Computing Towards Smart Applications: A Survey

Recent Advances in computer Science and Communications 2023年第1期16卷 55-72页

作者： Ali, Omar M. Mahmood, Ahlam F. Department of Electrical Engineering University of Mosul Mosul Iraq Department of Computer Engineering University of Mosul Mosul Iraq

Background: The increasing demand for Internet of Things (IoT) devices has been accompanied by an increase in the amount of data generated by them that need to be transferred, processed, and stored. Transferring the data of these devices to cloud computing leads to the occurrence of bottlenecks in the data networks, and therefore, an increase in the delay. Edge computing is used to reduce the delay by executing the computing process close to the data source, and it provides an important security advantage by reducing the amount of data actually at risk in a single moment. Furthermore, it provides an affordable and scalable avenue, providing unparalleled reliability. Objective: The study aimed to highlight the challenges associated with moving data from the cloud to the edge. Methods: In this paper, a survey has been presented related to edge computing from the perspective of requirements and applications, mentioning the most important contributions made by researchers in this field. Conclusion: The increase in the number of sensors in the Internet of Things revolution created a great momentum that can be addressed by relying on the edges close to the user to ensure the confidentiality of information, especially in real-time applications, such as health care systems and drones, etc. © 2023 Bentham Science Publishers.

关键词： Edge computing

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Introduction to the Special Issue on the Digital Threats of Hardware Security

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DIGITAL THREATS: RESEARCH AND PRACTICE 2023年第2期4卷 1-2页

作者： [Anonymous] Department of Electrical and Computer Engineering North Carolina State University Department of Electrical and Computer Engineering Air Force Institute of Technology

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Applications of Polymer Nanocomposites in High Voltage engineering: A Concise Review on Possible Applications and Questions Regarding Some Limitations

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Journal of engineering Science and Technology Review 2023年第5期16卷 156-163页

作者： Tsianakas, Vassilios Danikas, Michael G. Sarathi, Ramanujam Falekas, Georgios Democritus University of Thrace School of Engineering Department of Electrical and Computer Engineering Xanthi67100 Greece Indian Institute of Technology Madras Department of Electrical Engineering Chennai India

Polymer nanocomposites have been a topic of intensive research regarding High Voltage engineering since the nineties of the last century. They present an alternative to conventional polymers since the latter were diagnosed with certain drawbacks. In this paper, a short review is given as to the basic characteristics of the polymer nanocomposites and some comments are offered as to the possible applications of the said materials in High Voltage engineering. © 2023 School of Science, IHU. All rights reserved

关键词： Partial discharges

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Online Mechanism Design for Differentially Private Data Acquisition 63

Online Mechanism Design for Differentially Private Data Acqu...

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63rd IEEE Conference on Decision and Control, CDC 2024

作者： Anjarlekar, Ameya Etesami, Rasoul Srikant, R. Uiuc Department of Electrical and Computer Engineering United States Uiuc Faculty of Electrical and Computer Engineering and Industrial and Systems Engineering United States Uiuc Faculty of Electrical and Computer Engineering United States

ISBN: (纸本)9798350316339

We address a problem involving a buyer seeking to train a logistic regression model by acquiring data from privacy-sensitive sellers. Along with compensating the sellers for their data, the buyer provides differential privacy guarantees to them where the payments depend on the privacy guarantees. In addition, each seller has a different privacy sensitivity associated with their data, which is the cost per unit of loss of privacy. The buyer transacts sequentially with the sellers, wherein the seller will disclose their privacy sensitivity, and the buyer immediately provides a payment and guarantees differential privacy. After receiving the payment, the seller provides their data to the buyer. The buyer's goal is to optimize a weighted combination of test loss and payments, i.e., achieve a tradeoff between getting a good ML model and limiting its payments. Additionally, the buyer must design the payments and differential privacy guarantees in an online fashion. Further, the online problem is historydependent, which adds to the challenge. Consequently, we design a payment mechanism that ensures incentive compatibility and individual rationality and is asymptotically optimal. Additionally, we also provide experimental results to validate our findings. © 2024 IEEE.

关键词： Logistic regression

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A Low-Profile, Size-Reduced, High Gain, Circularly Polarized Anti-Jam Global Positioning System Antenna Array

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Progress In Electromagnetics Research C 2024年 139卷 79-86页

作者： Evans, Grant Nemec, Jack Obi, Victor Lim, Sungkyun Department of Electrical and Computer Engineering Georgia Southern University StatesboroGA30460 United States

A high gain, circularly polarized array antenna is proposed with low profile and compact size using T-shaped top loading, t-matching, and a reflector. Composed of 4 individual elements, the array has a −3-dB impedance bandwidth of 1.39% (1.564–1.586 GHz) and a 3-dB axial ratio beamwidth of 79◦ (−42◦ –37◦) in measurement. The front-to-side ratio of the total realized gain pattern is 27.1 dB, and the front-to-back ratio is 25.5 dB. The peak realized gain is 11.0 dBi in the forward (+z) direction. The proposed antenna is a good candidate for functioning as an anti-jam antenna in global positioning system, helping to block out jamming signals coming from the horizontal (90◦ and 270◦) planes. © 2024, Electromagnetics Academy. All rights reserved.

关键词： Global positioning system

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Viewport Prediction via Adaptive Edge Offloading

IEEE Networking Letters

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IEEE Networking Letters 2025年第1期7卷 21-25页

作者： Aydin, Ahmet Gunhan Vikalo, Haris University of Texas at Austin Electrical and Computer Engineering Department AustinTX78705 United States

The pursuit of enhanced interactive visual experiences has created growing interest in 360-degree video streaming. However, transmitting such content requires significant bandwidth compared to conventional planar video, motivating a search for effective bandwidth optimization strategies. A promising approach involves predicting viewport and prioritizing transmission of the regions of interest at higher quality. The existing methods for viewport prediction rely on sophisticated neural networks hosted on servers and face major bandwidth and latency challenges. This letter proposes a hierarchical approach to viewport prediction that leverages a small model on edge devices and offloads to the server only the most challenging tasks. The offloading algorithm relies on rate control to maximize the performance while meeting resource constraints, presenting a novel solution to bandwidth-efficient viewport prediction for 360-degree video streaming. © 2019 IEEE.

关键词： Video streaming

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Real-time disease detection on bean leaves from a small image dataset using data augmentation and deep learning methods: Real-time disease detection on bean leaves from a small image dataset using data augmentation..: E. Karantoumanis et al.

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Soft Computing 2024年第21期28卷 12929-12941页

作者： Karantoumanis, Emmanouil Balafas, Vasileios Louta, Malamati Ploskas, Nikolaos Department of Electrical and Computer Engineering University of Western Macedonia Campus ZEP Kozani50100 Greece

Disease detection in agricultural crops plays a pivotal role in ensuring food security and sustainable farming practices. Deep learning models, known for their ability in image analysis, often demand extensive image datasets and annotations to achieve high accuracy. However, in the case of bean crops, the absence of a publicly available dataset has posed a significant challenge for applying deep learning algorithms to accurately predict diseases. Additionally, the manual annotation of images demands substantial time and resources. This paper introduces an innovative approach to tackle these issues. We introduce a solution for real-time disease detection on bean leaves, despite the lack of bean-specific image data. Initially, we generate a small dataset from real images and annotate them. Then, we utilize images from the existing dataset PlantDoc (Singh et al. in: Proceedings of the 7th ACM IKDD CoDS and 25th COMAD, Association for Computing Machinery, pp 249–253, 2020) from leaves of other plant species. Moreover, to compensate for the limitations of a small image dataset, we employ advanced data augmentation techniques, enriching the training data and enhancing the model’s ability to generalize. Our experimental study shows that data augmentation techniques can improve the accuracy of deep learning methods by up to 37%. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Adversarial machine learning

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Deep Learning-Based Cloud Security: Innovative Attack Detection and Privacy Focused Key Management

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IEEE Transactions on computers 2025年第6期74卷 1978-1989页

作者： Ahmad, Shahnawaz Arif, Mohd Mehfuz, Shabana Ahmad, Javed Nazim, Mohd Bennett University School of Computer Science Engineering and Technology Greater Noida201310 India Galgotias University School of Computer Science & Engineering Greater Noida203201 India Jamia Millia Islamia Department of Electrical Engineering New Delhi110025 India Sharda University Department of Computer Science and Engineering Sharda School of Engineering and Technology Greater Noida201310 India Noida Institute of Engineering and Technology Department of Computer Science and Engineering School of Computer Science and IT Greater Noida201306 India

Cloud Computing (CC) is widely adopted in sectors like education, healthcare, and banking due to its scalability and cost-effectiveness. However, its internet-based nature exposes it to cyber threats, necessitating advanced security frameworks. Traditional models suffer from high false positives and limited adaptability. To address these challenges, VECGLSTM, an attack detection model integrating Variable Long Short-Term Memory (VLSTM), capsule networks, and the Enhanced Gannet Optimization Algorithm (EGOA), is introduced. This hybrid approach enhances accuracy, reduces false positives, and dynamically adapts to evolving threats. EGOA is employed for its superior optimization capability, ensuring faster convergence and resilience. Additionally, Chaotic Cryptographic Pelican Tunicate Swarm Optimization (CCPTSO) is proposed for privacy-preserving key management. This model combines chaotic cryptographic techniques with the Pelican Tunicate Swarm Optimization Algorithm (PTSOA), leveraging the pelican algorithm’s exploration strength and the tunicate swarm’s exploitation ability for optimal encryption security. Performance evaluation demonstrates 99.675% accuracy, 99.5175% recall, 99.7075% precision, and 99.615% F1-score, along with reduced training (1.79s), encryption (0.986s), and decryption (1.029s) times. This research significantly enhances CC security by providing a scalable, adaptive framework that effectively counters evolving cyber threats while ensuring efficient key management. © 1968-2012 IEEE.

关键词： Cloud security

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Three-Level Unipolar/Bipolar Buck-Boost AC-AC Converters with Less Active Switches and No Commutation Issues

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IEEE Transactions on Transportation Electrification 2024年第2期10卷 4184-4200页

作者： Ahmed, Hafiz Furqan Zaabi, Omar Al El Moursi, Mohamed Shawky Hosani, Khalifa Al National Sun Yat-sen University Department of Electrical Engineering Kaohsiung80424 Taiwan Department of Electrical Engineering and Computer Science Abu Dhabi United Arab Emirates Mansoura University Faculty of Engineering Mansoura35516 Egypt

This article proposes three-level (TL) buck-boost direct ac-ac converters based on switching-cell configuration with coupled magnetics. The proposed converters use only six active switches and can produce noninverting buck (NIBu), noninverting boost (NIBo), versatile noninverting buck-boost (VNIBB), and inverting buck-boost (IBB) output voltages. Unlike the conventional ac-ac converters, pulsewidth modulation (PWM) dead and overlap times are allowed in the proposed converters without switch voltage and current overshoots, respectively, making it free of commutation issues without requiring extra circuitry and control. Moreover, high-speed power MOSFETs can be utilized without the conduction of their body diodes and related poor reverse recovery issues. The proposed converters generate TL input and output voltages, increasing the voltage levels of input-output inductors and reducing their voltage stresses. In addition, a phase shift PWM control is utilized, which enhances the actual frequency of input and output voltages by twice the operating frequency of the switching devices. Consequently, input and output inductors can be designed much smaller, while reducing input-output current ripples. The proposed circuits also feature shared-ground point between ac source and load and provide continuous input and output currents. Two circuit topologies are proposed: Type-I is a noninverting (unipolar) buck-boost converter with less magnetic components and diodes and Type-II is a bipolar buck-boost converter. The experimental test results on a 400-W laboratory circuit are given to verify the operation of the proposed converter. © 2015 IEEE.

关键词： Buck-Boost converter

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A Novel High Step-Up DC-DC Converter with Zero Current Switching and Coupled Inductors for Enhanced Efficiency and Voltage Gain 16

A Novel High Step-Up DC-DC Converter with Zero Current Switc...

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16th Annual Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2025

作者： Esfahani, Seyed Mohammad Naji Zahiri, Seyed Hamid Delshad, Majid University of Birjand Department of Electrical and Computer Engineering Birjand Iran Branch Department of Electrical Engineering Isfahan Iran

ISBN: (纸本)9798331533946

This study introduces a high step-up DC-DC converter integrated with a novel, lossless snubber circuit. To achieve an elevated voltage gain, the design combines a voltage-lifting mechanism with a voltage-doubling circuit. An auxiliary circuit, comprising two resonant inductors and a resonant capacitor, facilitates soft-switching conditions across all semiconductor components, thereby enhancing efficiency and reducing switching losses. This configuration not only enables high voltage gain but also minimizes voltage stress on the switching element, contributing to the converter's overall high efficiency. Furthermore, the leakage inductance of the transformer is absorbed by the resonant inductor in the auxiliary circuit, effectively mitigating voltage spikes across the switch. A prototype of the proposed converter has been constructed to validate the theoretical analysis, confirming its performance improvements. © 2025 IEEE.

关键词： Capacitor bank

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