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2024 Conference on Lasers and Electro-Optics, CLEO 2024

作者： Rozpedek, Filip Seshadreesan, Kaushik P. Polakos, Paul Jiang, Liang Guha, Saikat Pritzker School of Molecular Engineering University of Chicago 5640 S Ellis Ave ChicagoIL60637 United States College of Information and Computer Sciences University of Massachusetts Amherst 140 Governors Drive AmherstMA01003 United States College of Optical Sciences University of Arizona 1630 E University Blvd TucsonAZ85721 United States Department of Informatics and Networked Systems University of Pittsburgh 135 N Bellefield Ave PittsburghPA15260 United States Cisco Systems New YorkNY10119 United States

We propose a novel strategy of using the bosonic Gottesman-Kitaev-Preskill (GKP) code in a repeater architecture with multiplexing. We also quantify the number of GKP qubits needed for the implementation of our scheme... 详细信息

ISBN: (纸本)9781957171395

关键词： Qubits

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DDCM: Cracking Anonymized Facial Images Using Denoising Diffusion Cryptanalytic Model

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IEEE Transactions on Consumer Electronics 2025年

作者： Jiang, Donghua Ni, Jiangqun Alasbali, Nada Nafea, Ibtehal Liu, Qingliang Ahmad, Jawad Boulila, Wadii Sun Yat-sen University School of Computer Science and Engineering Guangzhou510006 China Sun Yat-sen University School of Cyber Science and Technology Shenzhen518107 China Peng Cheng Laboratory Department of New Networks Shenzhen518052 China King Khalid University College of Computer Science Department of Informatics and Computing Systems Abha61421 Saudi Arabia Taibah University College of Computer Science and Engineering Medina41477 Saudi Arabia Qingdao University of Science and Technology School of Mathematics and Physics Qingdao266061 China Prince Mohammad Bin Fahd University Cybersecurity Center Alkhobar Saudi Arabia Prince Sultan University Robotics and Internet-of-Things Laboratory Riyadh12435 Saudi Arabia

Currently, in consumer electronics industry, quite a number of E-healthcare products highly depend on consumers' facial biometrics for both disease diagnosis and identity authen-tication. In light of this, various facial privacy-preserving approa-ches oriented towards the internet of medical things have been proposed, including visual cryptography and desensitization tech-nique. Nevertheless, few attentions have been paid to investigating their countermeasure, i.e., facial privacy analysis, owning to significant distribution discrepancy between the original and anony-mized facial images. To this end, a general Denoising Diffusion Cryptanalytic Model (DDCM) is proposed in this paper to recon-struct the original facial images in a coarse-to-fine manner from their encrypted ones with diverse anonymous approaches. Spec-ifically, to accurately reconstruct the original facial image without any prior knowledge, a customized initial prediction module with an encoder-decoder structure is introduced by taking advantage of its leaked visual cues to generate the coarse face. Furthermore, the residual map between the original and coarse facial images is explicitly modeled with the output of the customized prediction module as a conditional prior, thereby obtaining a refined facial image. Finally, extensive experiments demonstrate that the propo-sed DDCM could not only effectively crack multiple handcrafted facial anonymization approaches, such as blurring, pixelation and thumbnail-preserving encryption, but also outperform the prev-ious works (e.g., Pix2Pix) in terms of image fidelity and attack success rate. © 1975-2011 IEEE.

关键词： Anonymity

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Numerical Approach of Laser-Induced Spherical Microcavitation Bubbles: Effect of Enthalpy

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Bulletin of the Russian Academy of Sciences: Physics 2024年第Suppl 3期88卷 S287-S292页

作者： Ali F. Abu-Bakr Abu-Nab, Ahmed K. AbuShaeer, Zain Department of Mathematics and Computer Science Faculty of Science Menoufia University Shebin El-Koom32511 Egypt Phystech School of Applied Mathematics and Informatics Moscow Institute of Physics and Technology Dolgoprudny Moscow141700 Russia Center for Photonics and 2D Materials Moscow Institute of Physics and Technology Dolgoprudny141700 Russia Department of Basic Science Higher Institute of Engineering and Technology Kafrelsheikh33511 Egypt

Abstract: Over the past decades, interest has increased in studying different techniques to detect the importance of microbubbles in many industrial and medical applications such as mechanisms of hydraulic machinery cavitation erosion, histotripsy, and lithotripsy. The behavior from early irregular oscillations to late regular oscillations of spherical microcavitation bubbles produced by lasers in water was studied by means of plasma photography. Repetition of such delayed oscillations results in quantities of gas/vapour inside the spherical bubbles. Using the modified Gilmore model of cavitation microbubble dynamics, calculations were made for the laser pulse energy, microbubble radius behavior, and microbubble growth rate. Additionally, the pressure evolution inside the bubble, and pressures distribution surrounding of microbubbles in liquid are investigated under the effect of different values of initial cavitation of microbubble radius. The effect of enthalpy is considered into account. The proposed model is solved numerically using numerical techniques as a finite difference method. In addition, the radius of the microbubbles is calculated as a function of time under the influence of the initial radius of these laser-induced microcavitations. Moreover, some physical properties and numerical calculations of the presented mathematical model for cavitation induced by lasers bubbles are deduced, analyzed and investigated. © Pleiades Publishing, Ltd. 2024.

关键词： Cavitation

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Frequency multiplexed photonic reservoir computing using a Mach-Zehnder interferometer

Frequency multiplexed photonic reservoir computing using a M...

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2024 Conference on Lasers and Electro-Optics/Pacific Rim, CLEO-PR 2024

作者： Cuevas, Jonathan Uchida, Atsushi Minoshima, Kaoru Kuse, Naoya Graduate School of Sciences and Technology for Innovation Tokushima University 2-1 Minami-Josanjima Tokushima Tokushima770-8506 Japan Department of Information and Computer Sciences Saitama University 255 Shimo-okubo Sakura-ku Saitama Saitama City338-8570 Japan Institute of Post-LED Photonics Tokushima University 2-1 Minami-Josanjima Tokushima Tokushima770-8506 Japan Graduate School of Informatics and Engineering The University of Electro-Communications 1-5-1 Chofugaoka Chofu Tokyo182-8585 Japan

We demonstrate a frequency-multiplexed photonic reservoir computing with nodes from a frequency comb and Mach-Zehnder interferometer as a reservoir, showcasing with the prediction of the Santa Fe time series data. ... 详细信息

关键词： Mach-Zehnder interferometers

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Safety Guaranteed Power-Delivered-to-Load Maximization for Magnetic Wireless Power Transfer

Safety Guaranteed Power-Delivered-to-Load Maximization for M...

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IEEE Annual Joint Conference: INFOCOM, IEEE computer and Communications Societies

作者： Wangqiu Zhou Xinyu Wang Hao Zhou Shenyao Jiang Zhi Liu Yusheng Ji LINKE Lab School of Computer Science and Technology University of Science and Technology of China CAS Key Laboratory of Wireless-Optical Communications University of Science and Technology of China Deqing Alpha Innovation Institute Huzhou China Department of Computer and Network Engineering The University of Electro-Communications Tokyo Japan Information Systems Architecture Science Research Division National Institute of Informatics Tokyo Japan

ISBN: (数字)9798350383508

ISBN: (纸本)9798350383515

Electromagnetic radiation (EMR) safety has always been a critical reason for hindering the development of magneticenabled wireless power transfer technology. People focus on the actual received energy at charging devices while paying attention to their health. Thus, we study this significant problem in this paper, and propose a universal safety guaranteed power-delivered-to-load (PDL) maximization scheme (called SafeGuard). Technically, we first utilize the off-the-shelf electromagnetic simulator to perform the EMR distribution analysis to ensure the universality of the method. Then, we innovatively introduce the concept of multiple importance sampling for achieving efficient EMR safety constraint extraction. Finally, we treat the proposed optimization problem as an optimal boundary point search problem from the perspective of space geometry, and devise a brand-new grid-based multi-constraint parallel processing algorithm to efficiently solve it. We implement a system prototype for SafeGuard, and conduct extensive experiments to evaluate it. The results indicate that our SafeGuard can obviously improve the achieved PDL by up to 1.75× compared with the state-of-the-art baseline while guaranteeing EMR safety. Furthermore, SafeGuard can accelerate the solution process by 29.12× compared with the traditional numerical method to satisfy the fast optimization requirement of wireless charging systems.

关键词： Performance evaluation Monte Carlo methods System performance Inductive charging Prototypes Wireless power transfer Parallel processing

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Single Object Trackers in OpenCV: A Benchmark

Single Object Trackers in OpenCV: A Benchmark

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2020 International Conference on INnovations in Intelligent SysTems and Applications, INISTA 2020

作者： Brdjanin, Adnan Dardagan, Nadja Dzigal, Dzemil Akagic, Amila Alpen-Adria-Universität Klagenfurt Department of Informatics Klagenfurt9020 Austria Faculty of Electrical Engineering University of Sarajevo Department of Computer Science and Informatics Sarajevo Bosnia Herzegovina Bosnia and Herzegovina

ISBN: (纸本)9781728167992

Object tracking is one of the fundamental tasks in computer vision. It is used almost everywhere: human-computer interaction, video surveillance, medical treatments, robotics, smart cars, etc. Many object tracking methods have been published in recent scientific publications. However, many questions still remain unanswered, such as, which object tracking method to choose for a particular application considering some specific characteristics of video content or which method will perform the best (quality-wise) and which one will have the best performance? In this paper, we provide some insights into how to choose an object tracking method from the widespread OpenCV library. We provide benchmarking results on the OTB-100 dataset by evaluating the eight trackers from the OpenCV library. We use two evaluation methods to evaluate the robustness of each algorithm: OPE and SRE combined with Precision and Success Plot. © 2020 IEEE.

关键词： computer vision

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A Semantic Approach for Domain-Specific Design Patterns Recommendations in CMS-based Web Development

A Semantic Approach for Domain-Specific Design Patterns Reco...

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2020 International Conference on INnovations in Intelligent SysTems and Applications, INISTA 2020

作者： Gkantouna, Vassiliki Papaioannou, Vaios Tzimas, Giannis Sabic, Zlatan University of Patras Department of Computer Engineering and Informatics Patras Greece University of the Peloponnese Department of Electrical and Computer Engineering Patras Greece Senior Operations Officer - Public Information Systems Specialist World Bank Group

ISBN: (纸本)9781728167992

Today's web designers are encountering multiple issues regarding website development within specific application domains. These issues can be successfully addressed using Domain-Specific Design Patterns, enhancing the final deliverable quality for the domain under consideration. Having in mind the benefits of using web design patterns, domain ontologies can also complement their identification within the context of a specific application domain. They define the underlying semantic context of a domain, by encapsulating the domain knowledge. To this end, an approach is proposed to support the automated recommendation of candidate web design patterns relying on the respective domain ontology. The website designs, occurring in a particular application domain, are automatically analyzed so that all recurrent patterns among them can be detected. These patterns are validated and matched against domain's ontology, and subsequently evaluated and categorized. Finally, the best-rated design solutions are recommended as candidate design patterns for addressing typical domain design problems. Ultimately, it becomes easier for domain designers to recognize best practices among them and thus identify domain-specific design patterns. © 2020 IEEE.

关键词： Ontology

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Response to: Significance and stability of deep learning-based identification of subtypes within major psychiatric disorders. Molecular Psychiatry (2022)

arXiv

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arXiv 2022年

作者： Zhang, Xizhe Wang, Fei Zhang, Weixiong Early Intervention Unit Department of Psychiatry Affiliated Nanjing Brain Hospital Nanjing Medical University Nanjing China School of Biomedical Engineering and Informatics Nanjing Medical University Nanjing China Department of Health Technology and Informatics The Hong Kong Polytechnic University Hong Kong Department of Computer Science and Engineering Department of Genetics Washington University St. LouisMO United States

Recently, Winter and Hahn [1] commented on our work on identifying subtypes of major psychiatry disorders (MPDs) based on neurobiological features using machine learning [2]. They questioned the generalizability of our methods and the statistical significance, stability, and overfitting of the results, and proposed a pipeline for disease subtyping. We appreciate their earnest consideration of our work, however, we need to point out their misconceptions of basic machine-learning concepts and delineate some key issues involved. Copyright © 2022, The Authors. All rights reserved.

关键词： Deep learning

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Ranking matters: Does the new format select the best teams for the knockout phase in the UEFA Champions League?

arXiv

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arXiv 2025年

作者： Csató, László Devriesere, Karel Goossens, Dries Gyimesi, András Lambers, Roel Spieksma, Frits Laboratory on Engineering and Management Intelligence Research Group of Operations Research and Decision Systems Budapest Hungary Institute of Operations and Decision Sciences Department of Operations Research and Actuarial Sciences Hungary Ghent University Department of Business Informatics and Operations Management Belgium FlandersMake@UGent – core lab CVAMO Ghent Belgium University of Pécs Hungary Eindhoven University of Technology Department of Mathematics and Computer Science Netherlands

Starting in the 2024/25 season, the Union of European Football Associations (UEFA) has fundamentally changed the format of its club competitions: the group stage has been replaced by a league phase played by 36 teams in an incomplete round robin format. This makes ranking the teams based on their results challenging because teams play against different sets of opponents, whose strengths vary. In this research note, we apply several well-known ranking methods for incomplete round robin tournaments to the 2024/25 UEFA Champions League league phase. Our results show that it is doubtful whether the currently used point-based system provides the best ranking of the *** Codes 15A06, 91B14 Copyright © 2025, The Authors. All rights reserved.

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A Dual-Objective Bandit-Based Opportunistic Band Selection Strategy for Hybrid-Band V2X Metaverse Content Update

A Dual-Objective Bandit-Based Opportunistic Band Selection S...

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IEEE Conference on Global Communications (GLOBECOM)

作者： Sherief Hashima Zubair Md Fadlullah Mostafa M. Fouda Kohei Hatano Eiji Takimoto Mohsen Guizani Computational Learning Theory Team RIKEN-AIP Fukuoka Japan Department of Computer Science Western University London ON Canada Department of Electrical and Computer Engineering Idaho State University Pocatello ID USA Center for Advanced Energy Studies (CAES) Idaho Falls ID USA Department of Informatics Kyushu University Fukuoka Japan Machine Learning Department Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI) UAE

As vehicular communication networks embrace metaverse beyond 5G/6G systems, the rich content update via the least interfered subchannel of the optimal frequency band in a hybrid band vehicle to everything (V2X) setting emerges as a challenging optimization problem. We model this problem as a tradeoff between multi-band VR/AR devices attempting to perform metaverse scenes and environmental updates to metaverse roadside units (MRSUs) while minimizing energy consumption. Due to the computational hardness of this optimization, we formulate an opportunistic band selection problem using a multi-armed bandit (MAB) that provides a good quality solution in real-time without computationally burdening the already stretched augmented/virtual reality (AR/VR) units acting as transmitting nodes. The opportunistic use of scheduling rich content updates at traffic signals and stand-still scenarios maps well with the formulated bandit problem. We propose a Dual-Objective Minimax Optimal Stochastic Strategy (DOMOSS) as a natural solution to this problem. Through extensive computer-based simulations, we demonstrate the effectiveness of our proposal in contrast to baselines and comparable solutions. We also verify the quality of our solution and the convergence of the proposed strategy.

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