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A Multi-Stage Security Solution for Medical Color Images in Healthcare Applications

computer Systems science & engineering 2023年第9期46卷 3599-3618页

作者： Walid El-Shafai Fatma Khallaf El-Sayed M.El-Rabaie Fathi E.Abd El-Samie Iman Almomani Security Engineering Lab Computer Science DepartmentPrince Sultan UniversityRiyadh11586Saudi Arabia Department of Electronics and Electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Department of Electrical Engineering Faculty of EngineeringAhram Canadian UniversityGizaEgypt Computer Science Department King Abdullah II School of Information TechnologyThe University of JordanJordan11942Jordan

This paper presents a robust multi-stage security solution based on fusion,encryption,and watermarking processes to transmit color healthcare images,*** presented solution depends on the features of discrete cosine transform(DCT),lifting wavelet transform(LWT),and singular value decomposition(SVD).The primary objective of this proposed solution is to ensure robustness for the color medical watermarked images against transmission *** watermark embedding,the host color medical image is transformed into four sub-bands by employing three stages of *** resulting low-frequency sub-band is then transformed by employing three stages of DCT followed by SVD ***,a fusion process is used for combining different watermarks into a single watermark *** single fused image is then ciphered using Deoxyribose Nucleic Acid(DNA)encryption to strengthen the ***,the DNA-ciphered fused watermark is embedded in the host medical image by applying the suggested watermarking technique to obtain the watermarked *** main contribution of this work is embedding multiple watermarks to prevent identity *** the presence of different multimedia attacks,several simulation tests on different colormedical images have been *** results prove that the proposed security solution achieves a decent imperceptibility quality with high Peak Signal-to-Noise Ratio(PSNR)values and high correlation between the extracted and original watermark ***,the watermark image extraction process succeeds in achieving high efficiency in the presence of attacks compared with related works.

关键词： Medical images DNA encryption digital image watermarking fusion healthcare applications

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Silicon-Based Single Photon Avalanche Diode Technologies: Structures, Performance, and Challenges

IEEE Electron Devices Reviews

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IEEE Electron Devices Reviews 2025年 2卷 69-97页

作者： Sumaiya Hoque Md Anas abdullah Mrwan Alayed Mohamed Elamien M. Jamal Deen Department of Electrical and Computer Engineering McMaster University Hamilton ON Canada Microelectronics and Semiconductors Institute King Abdulaziz City for Science and Technology (KACST) Riyadh Saudi Arabia School of Biomedical Engineering McMaster University Hamilton ON Canada

Solid-state Single Photon Avalanche Diodes (SPADs) have emerged as versatile photodetectors, playing a pivotal role in cutting-edge technologies such as photon counting, timing, and imaging. Their exceptional characteristics — high timing resolution, fast response, high gain, excellent quantum efficiency, and immunity to magnetic fields — make them a compelling alternative to traditional Photomultiplier Tubes (PMTs). SPADs' unique ability to detect single photons, combined with their digital output and compact size, has positioned them as a superior choice for a wide range of applications in engineering, environmental monitoring, and healthcare. This review provides a comprehensive analysis of SPAD technology, focusing on its design principles, performance metrics, and applications. We begin by exploring the fundamental operating principles of SPADs and their key performance metrics. Next, we examine various SPAD structures across different technology nodes, offering a comparative analysis to highlight the latest advancements. Based on our review, we identify several techniques to enhance SPAD performance, including: doping profile engineering, such as using high-voltage layers and doping compensation layers, upgrading optical stacks, and integration of high-speed front-end circuitry. We then introduce application-specific figures-of-merit and assess their relevance to the reviewed structures. Additionally, we address emerging trends in SPAD design, such as leveraging mask layer technology to achieve significant advancements. Finally, we conclude with an overview of research challenges, potential solutions, and future directions in SPAD technology, providing valuable insights to drive further innovations in this dynamic field.

关键词： Single-photon avalanche diodes Photonics Silicon Absorption Timing Reviews Indium gallium arsenide CMOS technology Breakdown voltage P-n junctions

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Ultra-Narrow-Linewidth Hybrid-Integrated Self-Injection Locked Laser at 780 nm

Ultra-Narrow-Linewidth Hybrid-Integrated Self-Injection Lock...

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IEEE Photonics Conference (IPC)

作者： Artem Prokoshin Michael Gehl Scott E. Madaras Weng W. Chow Yating Wan Computer Electrical and Mathematical Sciences and Engineering Division King Abdullah University of Science and Technology (KAUST) Thuwal Kingdom of Saudi Arabia Photonic and Phononic Microsystems Sandia National Laboratories Albuquerque New Mexico USA

We demonstrate a hybrid-integrated self-injection locked laser operating at 780 nm with a linewidth of 103.8 Hz, and theoretically study the possibility of achieving Hz-level linewidth with this setup.

ISBN: (数字)9798350361957

ISBN: (纸本)9798350361964

关键词： Laser theory Laser mode locking Numerical models Photonics

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Spatial Coherence of Chaotic-Cavity Surface-Emitting Lasers

Spatial Coherence of Chaotic-Cavity Surface-Emitting Lasers

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Conference on Lasers and Electro-Optics (CLEO)

作者： Omar Alkhazragi Ming Dong Liang Chen Dong Liang Tien Khee Ng Junping Zhang Hakan Bagci Boon S. Ooi Division of Computer Electrical and Mathematical Science and Engineering King Abdullah University of Science and Technology (KAUST) Thuwal Saudi Arabia Huawei Technologies Co. Ltd. Shenzhen China

The intentional reduction of spatial coherence of vertical-cavity surface-emitting lasers by employing chaotic cavities is demonstrated. The design doubled the number of modes and increased the efficiency, enabling co... 详细信息

ISBN: (纸本)9781957171258

关键词： Coherence Optical coherence tomography Random lasers Speckle patterns Surface emitting lasers Vertical cavity surface emitting lasers

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Correction:Highly Efficient Back-End-of-Line Compatible Flexible Si-Based Optical Memristive Crossbar Array for Edge Neuromorphic Physiological Signal Processing and Bionic Machine Vision

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Nano-Micro Letters 2024年第12期16卷 133-133页

作者： Dayanand Kumar Hanrui Li Dhananjay D.Kumbhar Manoj Kumar Rajbhar Uttam Kumar Das Abdul Momin Syed Georgian Melinte Nazek El-Atab Smart Advanced Memory Devices and Applications(SAMA)LaboratoryElectrical and Computer EngineeringComputer Electrical Mathematical Science and EngineeringKing Abdullah University of Science and Technology(KAUST)23955-6900 ThuwalSaudi Arabia

Following publication of the original article[1],the authors noticed a mistake in the Supplementary file,more specifically in figures S11 and S12 where they used by mistake the same *** original article[1]has been cor... 详细信息

关键词： Mem Crossbar Highly

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Intrusion detection system for malicious traffic using evolutionary search algorithm

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Recent Advances in computer science and Communications 2021年第5期14卷 1381-1389页

作者： Al-Saqqa, Samar Al-Fayoumi, Mustafa Qasaimeh, Malik Department of Information Technology King Abdullah II School of Information Technology The University of Jordan Amman Jordan Department of Computer Science King Hussein School of Computing Sciences Princess Sumaya University for Technology Amman Jordan Department of Software Engineering King Hussein School of Computing Sciences Princess Sumaya University for Technology Amman Jordan

Introduction: Intrusion detection systems play a key role in system security by identifying potential attacks and giving appropriate responses. As new attacks are always emerging, intrusion detection systems must adapt to these attacks, and more work is continuously needed to develop and propose new methods and techniques that can improve efficient and effective adaptive intrusion systems. Feature selection is one of the challenging areas that need more work because of its importance and impact on the performance of intrusion detection systems. This paper applies an evolutionary search algorithm in feature subset selection for intrusion detection systems. Methods: The evolutionary search algorithm for the feature subset selection is applied and two clas-sifiers are used, Naïve Bayes and decision tree J48, to evaluate system performance before and after features selection. NSL-KDD dataset and its subsets are used in all evaluation experiments. Results: The results show that feature selection using the evolutionary search algorithm enhances the intrusion detection system with respect to detection accuracy and detection of unknown attacks. Furthermore, time performance is achieved by reducing training time, which is reflected positively in overall system performance. Discussion: The evolutionary search applied to select IDS algorithm features can be developed by modifying and enhancing mutation and crossover operators and applying new enhanced techniques in the selection process, which can give better results and enhance the performance of intrusion detection for rare and complicated attacks. Conclusion: The evolutionary search algorithm is applied to find the best subset of features for the intrusion detection system. In conclusion, it is a promising approach to be used as a feature selection method for intrusion detection. The results showed better performance for the intrusion detection system in terms of accuracy and detection rate. © 2021 Bentham science Publisher

关键词： Feature Selection

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Electrothermal 1D Varifocal Metalens

Electrothermal 1D Varifocal Metalens

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Conference on Lasers and Electro-Optics (CLEO)

作者： Quentin A. A. Tanguy Hussein Hussein Shane Colburn Luocheng Huang Karl F. Böhringer Arka Majumdar Department of Electrical & Computer Engineering University of Washington Seattle Washington USA Department of Electrical & Computer Engineering King Abdullah University of Science and Technology Thuwal Saudi Arabia

We report a MEMS-based spatial light modulator which consists of an electrothermally actuated varifocal metasurface. The focal length can be tuned over a range of 40 µm with less than 10 V. The lens exhibits a hi... 详细信息

ISBN: (数字)9781957171050

ISBN: (纸本)9781665466660

关键词： Fabrication Modulation Lasers and electrooptics Electro-optic modulators Metasurfaces Laser tuning Lenses

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Membrane Bioreactor control and Fouling Monitoring using Artificial Neural Network-Based Approach

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IFAC-PapersOnLine 2022年第33期55卷 66-71页

作者： Yasser Algoufily Peiying Hong Taous-Meriem Laleg Kirati Physical Science and Engineering Division Biological and Environmental Science and Engineering Division Computer Electrical and Mathematical Sciences and Engineering Division King Abdullah University of Science and Technology (KAUST) Thuwal 23955-6900 Saudi Arabia

With the advent of rigorous membrane research and development in the middle of the 20th century, more wastewater plants started incorporating Membrane BioReactors (MBR) in their design. However, being a membrane system, the MBR is subject to fouling which may lead to maintenance and cleaning costs. In this paper, a fouling monitoring and prediction tool has been designed in MATLAB\Simulink. The model takes states related to membrane fouling, and calculates the membrane total resistance based on deterministic and stochastic models. The tool is capable of predicting future transmembrane pressure (TMP) cycles based on older TMP performance via an artificial neural network algorithm. TMP data have been synthetically generated from a validated mathematical model. Finally, an artificial neural network controller is implemented to control temperature and Mixed Liquor Suspended Solids (MLSS) around their desired setpoints. The controller is able to minimize disturbances in both states in a narrow band around their desired setpoints.

关键词： Transmembrane Pressure Artificial Neural Network Nonlinear control Fouling Monitoring Membrane Bioreactor

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Decentralized voltage control in active distribution systems combining on-load tap changers and demand response

Decentralized voltage control in active distribution systems...

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13th Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion (MEDPOWER 2022)

作者： V.C. Nikolaidis M. Maropoulos C. Konstantinou Department of Electrical and Computer Engineering Democritus University of Thrace Xanthi Greece Computer Electrical and Mathematical Science and Engineering Division King Abdullah University of Science and Technology Thuwal Saudi Arabia

This paper presents a voltage control method for active distribution systems, which is based on the operation of on-load tap changers of the distribution transformers, in conjunction with a demand response program. Both on-load tap changers and demand response operations are initiated when pre-determined voltage criteria are fulfilled, making the approach completely decentralized. Several scenarios considering time-varying consumption of loads and variable electricity production from distributed generation units are simulated. The proposed voltage control method is tested against those scenarios, whereas also severe contingencies, such as the sudden loss of a distributed generation unit, are additionally considered. The simulation results show that the proposed method efficiently controls voltage within the permissible distribution levels, even under extreme system conditions.

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Data-driven state estimation for light-emitting diode underwater optical communication ?

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IFAC-PapersOnLine 2023年第2期56卷 9862-9868页

作者： Yingquan Li Zhenwen Liang Ibrahima N'Doye Xiangliang Zhang Mohamed-Slim Alouini Taous-Meriem Laleg-Kirati Computer Electrical and Mathematical Sciences and Engineering Division (CEMSE) King Abdullah University of Science and Technology (KAUST) Thuwal 23955-6900 Saudi Arabia University of Notre Dame Notre Dame IN 46556 USA INRIA Paris-Saclay France

Light-Emitting Diodes (LEDs) based underwater optical wireless communications (UOWCs), a technology with low latency and high data rates, have attracted significant importance for underwater robots. However, maintaining a controlled line of sight link between transmitter and receiver is challenging due to the constant movement of the underlying optical platform caused by the dynamic uncertainties of the LED model and vibration effects. Additionally, the alignment angle required for tracking is not directly measured and has to be estimated. Besides, the light scattering propagates beam pulse in water temporally, resulting in nonlinearities and time-varying underwater optical links with interference and introducing challenges in the estimation problem. In this paper, we address the state estimation problem by designing a Luenberger observer for the LED communication system that provides the angular position and velocity state information involved in the challenges of maintaining a controlled LOS optical wireless communication. In this line, we leverage the power of deep learning-based observer design to estimate the state of the LED communication model online. Simulation results are presented to illustrate the performance of the data-driven LED state estimation.

关键词： Light-emitting diode underwater optical wireless communication online estimation observer design nonlinear systems deep learning algorithm neural networks

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