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Differential coding scheme based FSO channel for optical coherent DP-16 QAM transceiver systems

Journal of Optical Communications 2024年第2期45卷 331-345页

作者： Urooj, Shabana Alwadai, Norah Muhammad Sorathiya, Vishal Lavadiya, Sunil Parmar, Juveriya Patel, Shobhit K. Abd El-Aziz, Ismail A. Rashed, Ahmed Nabih Zaki Electronics and Electrical Communications Engineering Department Faculty of Electronic Engineering Menoufia University Menouf 32951 Egypt Department of Electrical Engineering College of Engineering Princess Nourah bint Abdulrahman University Riyadh84428 Saudi Arabia Department of Physics College of Sciences Princess Nourah bint Abdulrahman University Riyadh84428 Saudi Arabia Department of Information and Communication Technology Marwadi University Rajkot India Department of Physics Marwadi University Rajkot360003 India Department of Electronics and Communication Engineering Marwadi University Rajkot360003 India Department of Computer Engineering Marwadi University Rajkot360003 India Benha Faculty of Engineering Benha University Benha Egypt

This article has indicated optical coherent differential polarization (DP) 16 quadrature amplitude modulation (QAM) transceiver systems with free-space optical (FSO) channel in the presence of differential coding scheme. The optical coherent DP 16-QAM receiver executes the reverse process conversion of the optical signal into an electrical one that is detected to the users. The proposed optical coherent DP-16 QAM transceiver systems based FSO channel model with differential coding has been presented and compared with the previous model. However, the simulation results have confidence realization about the superiority of the proposed simulation model. Hence the proposed optical coherent DP-16 QAM transceiver systems simulation model with differential coding is verified and validated the enhancement performance based on simulation performance parameters. © 2024 Walter de Gruyter GmbH. All rights reserved.

关键词： Quadrature amplitude modulation

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Opto-Video Encryption Based on Logistic Adjusted Sine map in FrFT

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computers, Materials & Continua 2022年第8期72卷 3651-3663页

作者： Osama S.Faragallah Ashraf Afifi Ibrahim F.Elashry Ensherah A.Naeem Heba M.El-Hoseny Ahmed I.Sallam Hala S.El-sayed Department of Information Technology College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif 21944Saudi Arabia Department of Electrical Engineering Kafrelsheikh UniversityKafrelsheikh 61519Egypt Electrical Department Faculty of Industrial EducationSuez UniversitySuez 43527Egypt Department of Electronics and Electrical Communication Engineering Al-Obour High Institute for Engineering and Technology 3036Egypt Department of Computer Science and Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf 32952Egypt Department of Electrical Engineering Faculty of EngineeringMenoufia UniversityShebin El-Kom 32511Egypt

In the last few years,videos became the most common form of information transmitted over the internet,and a lot of the traffic is confidential and must be protected and delivered safely to its intended *** introduces the challenges of presenting encryption systems that can encode videos securely and efficiently at the same *** paper presents an efficient opto-video encryption system using Logistic Adjusted Sine map(LASM)in the Fractional Fourier Transform(FrFT).In the presented opto-video LASM-based FrFT scheme,the encoded video is split into distinct frames and transformed into optical signals utilizing an optical *** of the developed optical video frames is ciphered by utilizing the LASM in optical FrFT system using two-phase modulation forms on the video frame,the first in the time-domain and the second in the FrFT *** the end,the ciphervideo frame is spotted utilizing a CCD digital camera and transformed into a digital structure that can be managed using a *** test the proposed opto-video LASM-based FrFT scheme using various security *** outcomes demonstrate that the presented scheme can effectively encrypt and decrypt video *** addition,it encrypts videos with a high level of encryption qualitywithout sacrificing its resistance to noise ***,the test outcomes demonstrate that the presented scheme is immune to known attacks.

关键词： Optical encryption FrFT logistic-adjusted sine map

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Efficient Data Compression on Healthcare Images Using Improved Hadamard Transform Based Filter

Efficient Data Compression on Healthcare Images Using Impro...

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International Conference on Intelligent Systems and Networks, ICISN 2024

作者： Thi, Thu Nguyen Haridoss, G. Rubia, Jency Dilipkumar, S. Chowdhury, Subrata Nguyen, Anh Phuong Duc, Tan Tran Faculty of Electronic Engineering Hanoi University of Industry Hanoi10000 Viet Nam Department of Electronics and Communication Engineering M.A.M College of Engineering and Technology Tiruchirappalli India Department of Electronics and Communication Engineering Vel Tech University Chennai India Department of Analytics SCOPE Vit Vellore Vellore India Department of Computer Sciences and Engineering Sreenivasa Institute of Technology and Management Studies AP Chittoor India Foreign Language Specialized School University of Languages and International Studies Hanoi Viet Nam Faculty of Electrical and Electronic Engineering Phenikaa University Hanoi Viet Nam

ISBN: (纸本)9789819755035

The Hadamard transform is an ancient method for efficient data compression, especially for medical image data. Thus, the proposed work consists of analyzing the filter performance using a novel Hadamard transform to apply data compression. The parametric evaluation has been employed for factors such as PSNR, compression time, and compression ratio. For the application purpose, the proposed modified Hadamard transform is applied for the encryption and decryption process and retrieves the original image. The experimental analysis reveals that the proposed Novel Hadamard Transform gives the best performance. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Compression ratio Data compression and decompression Hadamard transform Vector Merging Adder PSNR

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Redesigning the Joint SPRT Mean and Dispersion Control Chart Based on Mismatched In-control Performances 20

Redesigning the Joint SPRT Mean and Dispersion Control Chart...

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20th IEEE International Colloquium on Signal Processing and Its Applications, CSPA 2024

作者： Teoh, Jing Wei Teoh, Wei Lin El-Ghandour, Laila Chong, Zhi Lin Teh, Sin Yin Heriot-Watt University Malaysia School Of Mathematical And Computer Sciences Putrajaya Malaysia Heriot-Watt University School Of Mathematical And Computer Sciences Edinburgh United Kingdom Faculty Of Engineering And Green Technology Universiti Tunku Abdul Rahman Department Of Electronic Engineering Perak Kampar Malaysia Universiti Sains Malaysia School Of Management Penang Malaysia

ISBN: (纸本)9798350382310

In most quality control practices, the mean control chart is used in conjunction with the dispersion control chart to maintain the stability of a production process. Existing literature has suggested setting the in-control average run length (ARL0) of the mean chart and the dispersion chart to be equal. While such designs have the advantage of convenience, it is often unrealistic to assume that the mean and dispersion charts will share a common sensitivity, since mean shifts and variance shifts may occur with different probabilities in practice. In this paper, we propose a mismatched in-control performances strategy for designing the joint sequential probability ratio test (SPRT) mean and dispersion chart. We also develop new optimization designs for the joint SPRT scheme. Results show that the mismatched in-control performances strategy effectively boosts the detection sensitivity of the joint SPRT scheme towards mean shifts alone or variance shifts alone. It is also revealed that the mismatched joint SPRT scheme with a larger ARL on the dispersion chart performs better than the traditional matched joint SPRT scheme for a wide range of process shifts. © 2024 IEEE.

关键词： Control charts

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Heart Disease Risk Assessment and Prediction: A Robust Ensemble Approach with Extra Tree Classifier 2

Heart Disease Risk Assessment and Prediction: A Robust Ensem...

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2nd International engineering Conference on Electrical, Energy, and Artificial Intelligence, EICEEAI 2023

作者： Talukder, Simul Hasan Mondal, Sohag Kumar Aljaidi, Mohammad Sulaiman, Rejwan Bin Islam, Taminul Bangladesh Atomic Energy Regulatory Authority Dhaka Bangladesh Electrical and Electronic Engineering Khulna University of Engineering and Technology Khulna Bangladesh Khulna Bangladesh Zarqa University Faculty of Information Technology Department of Computer Science Zarqa Jordan School of Computer Science and Technology Northumbria University Tayne United Kingdom Southern Illinois University Department of Computer Science CarbondaleIL United States

ISBN: (纸本)9798350373363

Heart disease remains a formidable global health challenge, affecting countless individuals and placing a substantial strain on healthcare systems worldwide. Various factors, including exercise, diabetes, age, gender, dietary habits, weight, height, and even emotional well-being, influence an individual's cardiac health. Detecting heart disease early and making precise predictions regarding its risk factors are pivotal in assessing, managing, and preventing its occurrence, ultimately leading to improved patient outcomes. In this research, a range of promising preprocessing techniques and a meticulously tuned ensemble of ten machine learning models, including Extra Trees (ET), Decision Trees (DT), Random Forest (RF), Logistic Regression (LR), Extremely Gradient Boosting (EGB), AdaBoost (AB), Support Vector Machine (SVM), Ridge Classifier (RC), Light Gradient Boosting (LGB), and Gradient Boosting (GB), were employed to analyze a publicly available heart assessment dataset. The models' robustness was assessed through a rigorous 10 k-fold validation process. Seven comprehensive evaluation metrics, encompassing accuracy, AUC, precision, recall, F1 Score, kappa, MCC, were used to gauge the models' performance and reliability. Impressively, ET model outshone the rest, achieving the highest accuracy (0.9559 ± 0.0006), AUC (0.9870 ± 0.0003), precision (0.9262 ± 0.0012), recall (0.9847 ± 0.0012), F1 Score (0.9546 ± 0.0006), kappa (0.9119 ± 0.0012), MCC (0.9135 ± 0.0012), and showcasing the lowest standard deviation. © 2023 IEEE.

关键词： Adaptive boosting

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Estimation Large-Scale Fading Channels for Transmit Orthogonal Pilot Reuse Sequences in Massive MIMO System

Estimation Large-Scale Fading Channels for Transmit Orthogon...

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2022 International Conference on Intelligent technology, System and Service for Internet of Everything, ITSS-IoE 2022

作者： Abdullah, Qazwan Shah, Nor Shahida Mohd Hamzah, Shipun Salh, Adeb Mohamad, Mahathir Nordin, Shahilah Abu, Maisarah Albaom, Mohammed Abdo Sadeq, Safwan Community College of Yareem Ibb Yemen Universiti Tun Hussein Faculty of Engineering Technology Johor Malaysia Universiti Tun Hussein Faculty of Electrical and Electronic Engineering Johor Malaysia Universiti Tun Hussein Faculty of Applied Sciences and Technology Johor Malaysia Malaysia Faculty of Electrical Engineering Pulau Pinang Malaysia University Technical Malaysia Malacca Faculty of Electronic and Computer Engineering Malacca Malacca City Malaysia Universiti Putra Serdang Faculty of Computer Science and Information Technology Department of Computer Science Malaysia Universiti Teknologi Petronas Department of Mechanical Engineering Perak Malaysia

ISBN: (数字)9781665459983

ISBN: (纸本)9781665459983

Massive multiple-input multiple-output (MIMO) is a critical technology for future fifth-generation (5G) systems. Reduced pilot contamination (PC) enhanced system performance, and reduced inter-cell interference and improved channel estimation. However, because the pilot sequence transmitted by users in a single cell to neighboring cells is not orthogonal, massive MIMO systems are still constrained. We propose channel evaluation using orthogonal pilot reuse sequences (PRS) and zero forced (ZF) pre-coding techniques to eliminate channel quality in end users with poor channel quality based on channel evaluation, large-scale shutdown evaluation, and analysis of maximum transmission efficiency. We derived the lower bounds on the downlink data rate (DR) and signal-to-interference noise ratio (SINR) that can be achieved based on PRS assignment to a group of users where the number of antenna elements mitigated the interference when the number of antennas reaches infinity. The channel coherence interval limitation, the orthogonal PRS cannot be allocated to all UEs in each cell. The short coherence intervals able to reduce the PC and improve the quality of channel. The results of the modelling showed that higher DR can be achieved due to better channel evaluation and lower loss. © 2022 IEEE.

关键词： Fading channels

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Retraction Note: A blockchain-based electronic medical records management framework in smart healthcare infrastructure(Multimedia Tools and Applications, (2023), 82, (35419–35437), 10.1007/s11042-023-15152-z)

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Multimedia Tools and Applications 2025年第15期84卷 15625-15625页

作者： Zakzouk, Amaal El-Sayed, Ayman Hemdan, Ezz El-Din Alexandria Higher Institute of Engineering and Technology Alexandria Egypt Department of Computer Science and Engineering Faculty of Electronic Engineering Menoufia University Menoufia Egypt

The Editor-in-Chief has retracted this article because it contains significant textual overlap with two prior publications with no common authors [1, 2]. The Publisher was not able to confirm a current contact email for Ayman El-Sayed. The remaining authors did not respond to correspondence from the Publisher about this retraction. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025.

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A Novel Adaptive Linear Neuron Based on DNA Strand Displacement Reaction Network

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IEEE/ACM Transactions on Computational Biology and Bioinformatics 2022年第3期19卷 1424-1434页

作者： Zou, Chengye Wei, Xiaopeng Zhang, Qiang Zhou, Changjun Anyang Normal University School of Mathematics and Statistics Anyang455000 China Dalian University of Technology Faculty of Electronic Information and Electrical Engineering Dalian116024 China Dalian Minzu University College of Computer Science and Engineering Dalian116024 China

Analog DNA strand displacement circuits can be used to build artificial neural network due to the continuity of dynamic behavior. In this study, DNA implementations of novel catalysis, novel degradation and adjustment reaction modules are designed and used to build an analog DNA strand displacement reaction network. A novel adaptive linear neuron (ADALINE) is constructed by the ordinary differential equations of an ideal formal chemical reaction network, which is built by reaction modules. When reaction network approaches equilibrium, the weights of the ADALINE are updated without learning algorithm. Simulation results indicate that, ADALINE based on the analog DNA strand displacement circuit has ability to implement the learning function of the ADALINE based on the ideal formal chemical reaction networks, and fit a class of linear function. © 2004-2012 IEEE.

关键词： Degradation

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When Zero-Trust Meets Federated Learning

When Zero-Trust Meets Federated Learning

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2024 IEEE Global Communications Conference, GLOBECOM 2024

作者： Zhang, Xinran Wang, Dan Zhu, Yifei Chen, Weilong Chang, Zheng Han, Zhu The Hong Kong Polytechnic University Department of Computing Hong Kong Shanghai Jiao Tong University UM-SJTU Joint Institute Shanghai China University of Electronic Science and Technology of China School of Computer Science and Engineering Chengdu China University of Jyväskylä Faculty of Information Technology Jyväskylä Finland University of Houston Department of Electrical and Computer Engineering HoustonTX United States Kyung Hee University Department of Computer Science and Engineering Seoul Korea Republic of

ISBN: (纸本)9798350351255

Nowadays, Federated Learning (FL) has emerged as a promising and critical machine learning scheme to protect data privacy and reduce communication overhead. As the scale and connectivity expand in the FL system, enhancing the model's robustness against security threats from malicious clients grows ever more critical. An effective defensive solution involves selecting benign clients appropriately, thereby mitigating the vulnerability of the FL system to malicious attacks. However, clients exhibit varying behaviors over time, which complicates the task of accurately modeling their future trustworthiness. Moreover, blindly trusting clients with high trust values poses risks, given the potential for severe losses from betrayal. To tackle these problems, we propose a zero-trust policy in FL aimed at establishing continuous trust in each client while maintaining skepticism towards potential betrayal attacks. Specifically, we develop a Dirichlet-based trust evaluation technique to enable a comprehensive selection of trustworthy participants. This technique leverages the posterior distribution to estimate clients' trust values from their evolving behavior records over time. Then, we anticipate potential betrayal from a selected client and formulate a min-max optimization problem to minimize the worst-case betrayal loss, thereby boosting the system's betrayalaware robustness. Next, we convert this problem into a convex optimization problem and utilize the interior point method for resolution. We conduct extensive simulations to validate the efficacy of our proposed zero-trust policy in accurately assessing trust and enhancing the model's robustness to betrayal. © 2024 IEEE.

关键词： Federated learning

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EMI Performance Analysis in IRS-Aided Multi-User Wireless Communication Systems

EMI Performance Analysis in IRS-Aided Multi-User Wireless Co...

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2023 IEEE Virtual Conference on Communications, VCC 2023

作者： Elshishtawy, Rhana M. Ali, Shimaa S. Tag Eldien, Adly S. Fouda, Mostafa M. Ismail, Mohamed I. Eid, Esraa M. Benha University Faculty of Engineering at Shoubra Department of Electrical Engineering Egypt Idaho State University Department of Electrical and Computer Engineering PocatelloID United States Idaho FallsID United States Department of Electronic Engineering & Communication Technology Modern Academy for Engineering Egypt

ISBN: (纸本)9798350318807

This paper presents a comprehensive investigation into the effect of Electromagnetic Interference (EMI) on wireless systems employing single and distributed Intelligent Reflecting Surfaces (IRSs) in three distinct conditions by varying the number of antennas, elements, and users. Through extensive numerical simulations, the performance of the wireless systems is rigorously evaluated under different EMI scenarios. Firstly, the influence of varying the number of antennas on the system performance is thoroughly analyzed. The results demonstrate that an increased number of antennas contributes to improved signal reception and reduced interference levels. Moreover, the enhanced beamforming capabilities offered by additional antennas lead to higher signal quality and increased system Achievable Rate (AR). Secondly, the impact of changing the number of elements within the IRS under EMI conditions is investigated in detail. The simulations reveal that an augmented number of elements facilitates efficient EMI mitigation, enabling advanced signal manipulation and more precise signal focusing. As a result, the system exhibits improved performance in terms of signal strength, coverage, and AR. Lastly, the effect of varying the number of users on system performance in the presence of EMI is thoroughly assessed. The findings unveil that an increased number of users under EMI conditions leads to elevated interference levels, degraded signal quality, and diminished system AR. Thus, it is crucial to develop effective EMI mitigation strategies and resource allocation schemes to ensure reliable and efficient communication in IRS-enabled wireless systems. © 2023 IEEE.

关键词： MIMO systems

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