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作者： Berski, S. Jarosik, M.W. Gruszka, K.M. Department of Computer Science Faculty of Computer Science and Artificial Intelligence Czestochowa University of Technology Debrowskiego 73 Czestochowa42-201 Poland Department of Physics Faculty of Production Engineering and Materials Technology Czestochowa University of Technology al. Armii Krajowej 19 Czestochowa42-201 Poland

In this study, the superconducting properties of NaSn3 - an intermetallic compound with an AuCu3-type crystal structure and space group Pm3m (221), where Na atoms occupy the corners and Sn atoms are in face-centered positions - were investigated. The critical temperature of superconductivity (TC) in NaSn3 is found to be 7.038 K. The electron-phonon coupling constant has been calculated to assess its role in superconductivity, with the aim of understanding the mechanisms that enable NaSn3 to reach a relatively high TC. The analysis includes the calculation of the superconducting order parameter, the wave function renormalization factor for the first Matsubara frequency as a function of temperature, and the specific heat in both the superconducting and normal states. The results provide insight into the electron-phonon interaction and its contribution to the superconducting state in NaSn3, offering a detailed perspective on its potential for higher-temperature superconductivity. © 2025 Polska Akademia Nauk. All rights reserved.

关键词： Crystal atomic structure

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Secrecy Outage Probability of Full-Duplex Relaying Vehicular Networks 10

Secrecy Outage Probability of Full-Duplex Relaying Vehicular...

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10th International Japan-Africa Conference on Electronics, Communications, and Computations, JAC-ECC 2022

作者： Abd El Ghafour, Mohamed G. Abd El-Malek, Ahmed H. Hassan, Ola E. Abo-Zahhad, Mohammed Alexandria University Faculty of Engineering Department of Engineering Mathematics and Physics Alexandria21544 Egypt Egypt-Japan University of Science & Technology School of Electronics Communications & Computer Engineering Alexandria21934 Egypt Arab Academy for Science Technology & Maritime Transport Basic and Applied Science Department Smart Village Campus Giza12577 Egypt Assiut University Faculty of Engineering Electrical Engineering Department Assiut71515 Egypt

ISBN: (纸本)9781665464635

This paper investigates the secrecy performance of full-duplex cooperative vehicular relaying networks under passive eavesdropping attacks in the presence of co-channel interference. In the considered system model, a static source communicates with a static destination through a mobile full-duplex relay in the presence of a mobile passive eavesdropper and a static co-channel interferer. A closed-form expression for the exact secrecy outage probability of the system is derived for the Nakagami-m fading environment. Hence, the asymptotic secrecy outage probability is obtained at high signal-to-noise values. Numerical and Simulation results are obtained to validate the derived analytical expressions. © 2022 IEEE.

关键词： Signal to noise ratio

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Effective Classification for Logs of Routers Based on MLP Neural Networks 15

Effective Classification for Logs of Routers Based on MLP Ne...

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15th International Conference on Knowledge and Systems Engineering, KSE 2023

作者： Nguyen-Tat, Bao-Thien Khanh Nguyen, Duy University of Information Technology Faculty of Information Science and Engineering Ho Chi Minh Viet Nam Vietnam National University Ho Chi Minh Viet Nam Institute for Computational Science and Artificial Intelligence Van Lang University Laboratory for Computational Physics Ho Chi Minh Viet Nam School of Technology Van Lang University Faculty of Mechanical - Electrical and Computer Engineering Ho Chi Minh Viet Nam

ISBN: (纸本)9798350329742

This article discusses the classification of abnormal log messages from Juniper routers. Abnormal log messages reflect the unusual activities of these routers. Classifying abnormal log messages into different categories helps monitoring personnel quickly identify errors and take timely measures to protect the devices. We extract features from abnormal logs and use a Multilayer Perceptron (MLP) neural network model for classification. The MLP neural network model requires knowledge of the log data from Juniper routers so that the trained network can analyze and validate that knowledge. We collected log data from Juniper routers operating on SCTV's core network system, identified abnormal log messages, and classified them based on our experience and knowledge. © 2023 IEEE.

关键词： Multilayer neural networks

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Role of long jumps in Lévy noise induced multimodality

arXiv

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arXiv 2024年

作者： Pogorzelec, Przemyslaw Dybiec, Bartlomiej Doctoral School of Exact and Natural Sciences Faculty of Physics Astronomy and Applied Computer Science Jagiellonian University Lojasiewicza 11 Kraków30-348 Poland Institute of Theoretical Physics Mark Kac Center for Complex Systems Research Faculty of Physics Astronomy and Applied Computer Science Jagiellonian University Lojasiewicza 11 Kraków30-348 Poland

Lévy noise is a paradigmatic noise used to describe out-of-equilibrium systems. Typically, properties of Lévy noise driven systems are very different from their Gaussian white noise driven counterparts. In particular, under action of Lévy noise, stationary states in single-well, super-harmonic, potentials are no longer unimodal. Typically, they are bimodal however for fine-tuned potentials the number of modes can be further increased. The multimodality arises as a consequence of the competition between long displacements induced by the non-equilibrium stochastic driving and action of the deterministic force. Here, we explore robustness of bimodality in the quartic potential under action of the Lévy noise. We explore various scenarios of bounding long jumps and assess their ability to weaken and destroy multimodality. In general, we demonstrate that despite its robustness it is possible to destroy the bimodality, however it requires drastic reduction in the length of noise-induced jumps. Copyright © 2024, The Authors. All rights reserved.

关键词： Stochastic systems

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Effective Techniques Non-linear Dynamic Model Calibration using CNN 5

Effective Techniques Non-linear Dynamic Model Calibration us...

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5th IEEE International Conference on Computing, Power, and Communication Technologies, IC2PCT 2024

作者： Devanathan, Malmarugan Prasannan, D. Singh, Pooja Joshua, Oluwadare Adity Pai, H. Jakhar, Pankaj Christ University Karnataka Bengaluru India Karpagam College of Engineering Department of Civil Engineering Coimbatore India Sgt University Faculty of Science Department of Physics Gurugram India Afe Babalola University Ado-Ekiti Civil and Environmental Engineering Ekiti Nigeria Graphic Era Deemed to Be University Department of Computer Science & Engineering Uttarakhand Dehradun India Indian Institute of Technology Jodhpur Rajasthan Jodhpur India

ISBN: (纸本)9798350383522

This paper proposes an efficient method to estimate nonlinear dynamic models using convolutional neural networks (CNNs). The proposed method combines the power of statistical optimization and machine learning to obtain more accurate and efficient estimates of complex models by training CNNs to recognize maps featuring input models and between results, thereby reducing the computational cost of measurements and then using the trained CNN to generate surrogate models -The method can determine accuracy for a range of exposed cases in various nonlinear dynamic models, including differential equation model of chemical reactor and stochastic model of biological systems The results show that the proposed methods are effective for measuring these models, if at most with such accuracy and reducing the computational cost in terms of both frequency and magnitude, the proposed method represents a promising method for estimating nonlinear dynamic models, offering significant advantages in terms of accuracy, efficiency and in scalability © 2024 IEEE.

关键词： Calibration Convolutional Neural Network Mapping Nonlinear Dynamic

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Scaled tight-binding model for a two-dimensional electron gas at the (001) LaAlO3/SrTiO3 interface

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Physical Review applied 2025年第5期23卷 054051-054051页

作者： Paweł Wójcik Roberta Citro Bartłomiej Szafran Faculty of Physics and Applied Computer Science AGH University of Krakow Al. Mickiewicza 30 Kraków 30-059 Poland Physics Department “E. R. Caianiello” and CNR-SPIN Universitá degli Studi di Salerno INFN Gruppo Collegato di Salerno 84084-Fisciano (Sa) Italy

Progress in the fabrication of nanoscale systems based on the two-dimensional electron gas (2DEG) at the interface between LaAlO3 and SrTiO3 (LAO/STO) has created increased demand for simulations of these nanostructures, which typically range in size from tens to hundreds of nanometers. Due to the low lattice constant of LAO/STO, approximately 0.39 nm, these calculations become extremely time-consuming. Here, we present a scaling procedure for the tight-binding approximation of the LAO/STO 2DEG, defined on a square lattice that can be several times larger than in the conventional approach. The scaled model is analyzed within the context of quantum transport simulations and electronic structure calculations. Our findings demonstrate that the scaled model closely aligns with the ordinary one up to a scaling factor of 8. The applicability of the scaled Hamiltonian for systems with interacting electrons is also discussed. These results pave the way for more efficient simulations of LAO/STO nanostructures with realistic sizes relevant to experimental applications.

关键词： Lattice constants

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Lightweight Transfer Learning Models for Ultrasound-Guided Classification of COVID-19 Patients

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computers, Materials & Continua 2021年第11期69卷 2295-2312页

作者： Mohamed Esmail Karar Omar Reyad Mohammed Abd-Elnaby Abdel-Haleem Abdel-Aty Marwa Ahmed Shouman College of Computing and Information Technology Shaqra UniversityShaqra11961Saudi Arabia Department of Industrial Electronics and Control Engineering Faculty of Electronic Engineering(FEE)Menoufia UniversityMenouf32952Egypt Department of Mathematics and Computer Science Faculty of ScienceSohag UniversitySohag82524Egypt Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Physics College of SciencesUniversity of BishaBisha61922Saudi Arabia Department of Physics Faculty of ScienceAl-Azhar UniversityAssiut71524Egypt Department of Computer Science and Engineering Faculty of Electronic Engineering(FEE)Menoufia UniversityMenouf32952Egypt

Lightweight deep convolutional neural networks(CNNs)present a good solution to achieve fast and accurate image-guided diagnostic procedures of COVID-19 ***,advantages of portable Ultrasound(US)imaging such as simplicity and safe procedures have attracted many radiologists for scanning suspected COVID-19 *** this paper,a new framework of lightweight deep learning classifiers,namely COVID-LWNet is proposed to identify COVID-19 and pneumonia abnormalities in US *** to traditional deep learning models,lightweight CNNs showed significant performance of real-time vision applications by using mobile devices with limited hardware *** main lightweight deep learning models,namely MobileNets,ShuffleNets,MENet and MnasNet have been proposed to identify the health status of lungs using US *** image dataset(POCUS)was used to validate our proposed COVID-LWNet framework *** classes of infectious COVID-19,bacterial pneumonia,and the healthy lung were investigated in this *** results showed that the performance of our proposed MnasNet classifier achieved the best accuracy score and shortest training time of 99.0%and 647.0 s,*** paper demonstrates the feasibility of using our proposed COVID-LWNet framework as a new mobilebased radiological tool for clinical diagnosis of COVID-19 and other lung diseases.

关键词： Coronavirus medical image processing artificial intelligence ultrasound

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Frequency dependence of nonsequential double ionization of atoms in strong laser fields

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Physical Review A 2024年第5期110卷 053105-053105页

作者： Jan H. Thiede Jakub S. Prauzner-Bechcicki Fachbereich Physik Philipps-Universität Marburg D-35032 Marburg Germany Jagiellonian University in Kraków Faculty of Physics Astronomy and Applied Computer Science Marian Smoluchowski Institute of Physics Łojasiewicza 11 30-348 Krakow Poland

The full-dimensional quantum mechanical description of double ionization in strong laser fields is still computationally very demanding. We demonstrate the versatility of a simplified (1+1)-dimensional model of the He atom, which allows the study of nonsequential double ionization in strong laser fields over a wide range of frequencies and intensities. The ionization yield, longitudinal ion momentum distributions, and two-electron momentum distributions obtained by using the applied approach are in good agreement with the experimental and semi-classical data available in the literature, thus complementing them with a quantum mechanical description. The methodology can be extended to other atomic species or to study higher ionization.

关键词： Atomic & molecular processes in external fields Electronic excitation & ionization Multiphoton or tunneling ionization & excitation Atoms Dipole approximation First-principles calculations Nonperturbative methods Schroedinger equation

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Performance Comparison of Various Dual-Band AMC Structures Using Textile Materials

Performance Comparison of Various Dual-Band AMC Structures U...

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International Electrical Engineering Congress (iEECON)

作者： Yotrawee Hengroemyat Wanwisa Thaiwirot Prayoot Akkaraekthalin Nonchanutt Chudpooti Department of Electrical and Computer Engineering Faculty of Engineering King Mongkut’s University of Technology North Bangkok Bangkok Thailand Department of Industrial Physics and Medical Instrumentation Faculty of Applied Science King Mongkut’s University of Technology North Bangkok Bangkok Thailand

ISBN: (数字)9798331543952

ISBN: (纸本)9798331543969

This paper presents the performance comparison of various dual-band AMC structures using textile materials. The textile AMC structure includes of the inner patch and outer loop to achieve dual-band operation. The felt is used as substrate of AMC unit cell while the copper-nickel plated polyester fabric is used as conductive parts. The various geometries of AMC unit cell based on square, circle, hexagon, octagon shapes are designed to operate at 2.4/5.5 GHz for WBAN and Wi-Fi applications. Moreover, the performance of AMC unit cell structures is compared in term of size and bandwidth. It is found from simulation results that the inner square patch and outer square loop can provide compact size and wider bandwidth. The hexagon shape can achieve compact size when it is arranged in form of array.

关键词： Geometry Wireless communication Shape Simulation Dual band Bandwidth Reflector antennas Substrates Wireless fidelity Textiles

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Retraction Note: High performance reconciliation for practical quantum key distribution systems

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Optical and Quantum Electronics 2024年第12期56卷 1-2页

作者： Mao, ao-Kun Li, Qiong Hao, Peng-Lei Abd-El-Atty, Bassem Iliyasu, Abdullah M. Department of Computer Science and Technology Harbin Institute of Technology Harbin China CAS Key Laboratory of Quantum Information University of Science and Technology of China Hefei China CAS Center for Excellence in Quantum Information and Quantum Physics University of Science and Technology of China Hefei China Department of Computer Science Faculty of Computers and Information Luxor University Luxor Egypt Electrical Engineering Department College of Engineering Prince Sattam Bin Abdulaziz University Al- Kharj Saudi Arabia School of Computing Tokyo Institute of Technology Yokohama Japan School of Computer Science and Technology Changchun University of Science and Technology Changchun China

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