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Fusion-based Digital Twin Framework with Convolutional Neural Networks (CNN) for Real-Time Threat Detection and Image Enhancement in Low-Light IoT Environments 2

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Fusion-based Digital Twin Framework with Convolutional Neura...

2nd IEEE International Conference on Integrated Intelligence and Communication Systems, ICIICS 2024

作者： Kumar, K. Ashok Barmola, Pareshwar Prasad Velmurugan, S.P. Manjunath, A.C. Soni, Umang Maranan, Ramya Department of Physics B V Raju Institute of Technology Medak Narsapur India Department of Computer Science & Engineering Graphic Era Deemed to be University Dehradun India Department of Electronics and Communication Engineering Kalasalingam Academy of Research and Education Krishankoil India Department of Mechanical Engineering Brindavan college of Engineering Bangalore India Faculty of Engineering and Technology Parul institute of Engineering and Technology Vadodara India Department of Research and Innovation Saveetha School of Engineering SIMATS Chennai India

ISBN: (纸本)9798331504960

Image acquisition in low-light environments often suffers from poor contrast, high noise, and loss of fine details, making effective enhancement challenging. Conventional enhancement methods frequently fail to balance detail preservation and noise suppression. This paper introduces a novel fusion-based technique for enhancing images captured in low-light settings. The proposed method integrates multi-scale decomposition, adaptive histogram equalization, and wavelet transform to improve image quality. Multi-scale decomposition captures critical structural information, adaptive histogram equalization adjusts intensity levels for enhanced contrast, and wavelet transform reduces noise while refining image details. Evaluation on standard low-light image datasets demonstrates that this method outperforms current state-of-the-art techniques. The enhanced images show a peak signal-to-noise ratio (PSNR) of 32.45 dB and a structural similarity index (SSIM) of 0.87, reflecting an 18% improvement in PSNR and a 12% gain in SSIM over traditional methods. Additionally, the technique reduces noise variance by 20% and enhances visual clarity, making it suitable for applications such as surveillance, medical imaging, and autonomous driving. In conclusion, this fusion-based approach provides an effective solution for low-light image enhancement, maintaining critical details and achieving improved visual quality through balanced contrast enhancement and noise reduction. © 2024 IEEE.

关键词： Wavelet decomposition

Preparation and physico-chemical characterization of AISI 304 stainless steel film deposited by DC magnetron sputtering

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Journal of Magnetism and Magnetic Materials 2025年 628卷

作者： Tomko, Samuel Pechoušek, Jiří Tuček, Jiří Kuzmann, Ernő Heger, Vítězslav Dubiel, Stanislaw M. Machala, Libor Department of Experimental Physics Faculty of Science Palacký University 17. Listopadu 1192/12 Olomouc779 00 Czech Republic Hella Autotechnik Nova s.r.o. Družstevní 16 Mohelnice789 85 Czech Republic Research Centre Faculty of Electrical Engineering and Informatics University of Pardubice Studentská 95 Pardubice530 02 Czech Republic Institute of Chemistry Eötvös Loránd University 1117 Budapest Pázmány Péter Sétány 1 /A Hungary Faculty of Physics and Applied Computer Science AGH University of Krakow Al. A. Mickiewicza 30 Kraków30-059 Poland

The present study reports on the preparation and physico-chemical investigation of a 2 µm thick film produced from AISI 304 stainless steel by DC magnetron sputtering. A phase transformation from the conventionally non-magnetic Face-Centered Cubic (FCC) phase of austenite (γ-Fe) nature to a predominantly Body-Centered Cubic (BCC) ferromagnetic single phase (α-Fe) during the deposition is observed upon the deposition process. The deposited films are characterized by various experimental techniques including Scanning Electron Microscopy (SEM) with Energy-Dispersive X-ray spectroscopy (EDX), X-Ray powder Diffraction (XRD), Grazing-Incidence X-Ray powder Diffraction (GIXRD), and Mössbauer Spectroscopy (MS) in both transmission and back-scattered geometry. For interpretation of the Mössbauer spectra of the film, a physico-chemical model based on distinct micromagnetic environments evolved due to alloying elements is suggested. The results, presented within this study, may stimulate further and detailed research in identifying the causes for the phase transition from both theoretical and experimental perspectives and understanding the underlying mechanisms. © 2025 Elsevier B.V.

关键词： Sputtering

PyPartMC: A Pythonic interface to a particle-resolved, Monte Carlo aerosol simulation framework

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arXiv 2023年

作者： D'Aquino, Zachary Arabas, Sylwester Curtis, Jeffrey H. Vaishnav, Akshunna Riemer, Nicole West, Matthew Atmospheric Sciences University of Illinois Urbana-Champaign UrbanaIL United States Physics and Applied Computer Science AGH Univeristy of Krakow Kraków Poland Electrical and Computer Engineering University of Illinois Urbana-Champaign UrbanaIL United States Mechanical Science and Engineering University of Illinois Urbana-Champaign UrbanaIL United States

PyPartMC is a Pythonic interface to PartMC, a stochastic, particle-resolved aerosol model implemented in Fortran. Both PyPartMC and PartMC are free, libre, and open-source. PyPartMC reduces the number of steps and mitigates the effort necessary to install and utilize the resources of PartMC. Without PyPartMC, setting up PartMC requires: working with UNIX shell, providing Fortran and C libraries, and performing standard Fortran and C source code configuration, compilation and linking. This can be challenging for those less experienced with computational research or those intending to use PartMC in environments where provision of UNIX tools is less straightforward (e.g., on Windows). PyPartMC offers a single-step installation/upgrade process of PartMC and all dependencies through the pip Python package manager on Linux, macOS, and Windows. This allows streamlined access to the unmodified and versioned Fortran internals of the PartMC codebase from both Python and other interoperable environments (e.g., Julia through PyCall). In particular, PyPartMC can be set up to handle the time-stepping loop for PartMC simulations making it possible to couple PartMC with other Python-interoperable packages, for either online diagnostics or additional simulation logic. Altogether, users of PyPartMC can setup, run, process and visualize output of PartMC simulations using a single general-purpose programming language. Copyright © 2023, The Authors. All rights reserved.

关键词： Python

Periodic charge oscillations in the Proca theory

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arXiv 2022年

作者： Damski, Bogdan Jagiellonian University Faculty of Physics Astronomy and Applied Computer Science Institute of Theoretical Physics Lojasiewicza 11 Kraków30-348 Poland

We consider the Proca theory of the real massive vector field. There is a locally conserved 4-current operator in such a theory, which one may use to define the charge operator. Accordingly, there are charged states in which the expectation value of the charge operator is non-zero. We take a close look at the charge operator and study the dynamics of the certain class of charged states. For this purpose, we discuss the mean electric field and 4-current in such states. The mean electric field has the periodically oscillating Coulomb component, whose presence explains the periodic charge oscillations. A complementary insight at such a phenomenon is provided by the mean 4-current, whose discussion leads to the identification of a certain paradox. Last but not least, we show that there is a shock wave propagating in the studied system, which affects analyticity of the mean electric field and 4-current. Copyright © 2022, The Authors. All rights reserved.

关键词： Shock waves

Three favorite dimensions of Andrzej Kossakowski: along his path to a scientific discovery

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arXiv 2022年

作者： Życzkowski, Karol Faculty of Physics Astronomy and Applied Computer Science Jagiellonian University Cracow Poland Center for Theoretical Physics Polish Academy of Sciences Warsaw Poland

Some achievements of the late Andrzej Kossakowski in the field of statistical physics and quantum theory are presented. We recall his attempt to find an analytical solution of the 3-dimensional Ising model and present... 详细信息

关键词： Quantum theory

Efficient representation of minimally entangled typical thermal states in two dimensions via projected entangled pair states

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Physical Review B 2024年第4期109卷 045136-045136页

作者： Aritra Sinha Marek M. Rams Jacek Dziarmaga Institute of Theoretical Physics Faculty of Physics Astronomy and Applied Computer Science Jagiellonian University ul. Łojasiewicza 11 30-348 Kraków Poland Max Planck Institute for the Physics of Complex Systems Nöthnitzer Strasse 38 Dresden 01187 Germany Mark Kac Center for Complex Systems Research Jagiellonian University ul. Łojasiewicza 11 30-348 Kraków Poland

The minimally entangled typical thermal states (METTS) are an ensemble of pure states, equivalent to the Gibbs thermal state, designed with an efficient tensor network representation in mind. In this article, we use the projected entangled pair states (PEPS) as their representation on a two-dimensional (2D) lattice. Unlike matrix product states (MPS), which for 2D systems are limited by an exponential computational barrier in the lattice size, PEPS provides a more tractable approach. To substantiate the prowess of PEPS in modeling METTS (dubbed PEPS-METTS), we benchmark it against the purification method in the context of the 2D quantum Ising model at its critical temperature. Our analysis reveals that PEPS-METTS achieves accurate results with significantly lower bond dimensions. We further corroborate this finding in the 2D Fermi-Hubbard model. At a technical level, we introduce an efficient zipper method to obtain PEPS boundary MPS needed to compute expectation values and perform sampling. The imaginary time evolution is done with the neighborhood tensor update.

关键词： Fermions Quantum phase transitions Temperature Transition temperature Projected entangled pair states Symmetries in condensed matter

DYNAMICALLY ALTERED CONDUCTANCE IN AN ORGANIC THIN FILM MEMRISTIVE DEVICE

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arXiv 2023年

作者： Pawlowska, Agnieszka I. Da̜bczyński, Pawel Lalik, Sebastian Carbajal, Juan Pablo Chialvo, Dante R. Rysz, Jakub Faculty of Physics Astronomy and Applied Computer Science Jagiellonian University Lojasiewicza 11 Krakow30-348 Poland Institute for Energy Technology OST Eastern Switzerland University of Applied Sciences Oberseestrasse 10 Rapperswil8640 Switzerland San Martín Buenos Aires Argentina

The memristive device is one of the basic elements of novel, brain-inspired, fast, and energy-efficient information processing systems in which there is no separation between memorization and information analysis functions. Since the first demonstration of the resistive switching effect, several types of memristive devices have been developed. In most of them, the memristive effect originates from direct modification of the conducting area, e.g. conducting filament formation/disintegration, or semiconductor doping/dedoping. Here, we report a solution-processed lateral memristive device based on a new conductivity modulation mechanism. The device architecture resembles that of an organic field-effect transistor in which the top gate electrode is replaced with an additional insulator layer containing mobile ions. Alteration of the ion distribution under the influence of applied potential changes the electric field, modifying the conductivity of the semiconductor channel. The devices exhibit highly stable current-voltage hysteresis loops and Short-Term Plasticity (STP). We also demonstrate short-term synaptic plasticity with tunable time constants. © 2023, CC BY-NC-ND.

关键词： Semiconductor doping

Visibility Stokes parameters as a foundation for quantum information science with undetected photons

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arXiv 2024年

作者： Kysela, Jaroslav Gräfe, Markus Fuenzalida, Jorge Vienna Austria Christian Doppler Laboratory for Photonic Quantum Computer Faculty of Physics University of Vienna Vienna Austria Institute for Applied Physics Technical University of Darmstadt Schloßgartenstraße 7 Darmstadt64289 Germany ICFO-Institut de Ciencies Fotoniques The Barcelona Institute of Science and Technology Castelldefels Barcelona08860 Spain

The phenomenon of induced coherence without induced emission allows to reconstruct the quantum state of a photon that remains undetected. The state information is transferred to its partner photon via optical coherence. Using this phenomenon, a number of established quantum information protocols could be adapted for undetected photons. Despite partial attempts, no general procedure for such adaptation exists. Here we shed light on the matter by showing the close relation between two very dissimilar techniques, namely the quantum state tomography of qubits and the recently developed quantum state tomography of undetected photons. We do so by introducing a set of parameters that quantify the coherence and that mimic the Stokes parameters known from the polarization state tomography. We also perform a thorough analysis of the environment of undetected photons and its role in the reconstruction process. © 2024, CC BY.

关键词： Photons

PyPartMC: A Pythonic Interface to a Particle-Resolved, Monte Carlo Aerosol Simulation Framework

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SSRN

SSRN 2023年

作者： D’Aquino, Zachary Arabas, Sylwester Curtis, Jeffrey H. Vaishnav, Akshunna Riemer, Nicole West, Matthew Atmospheric Sciences University of Illinois Urbana-Champaign UrbanaIL United States Physics and Applied Computer Science AGH Univeristy of Krakow Kraków Poland Electrical and Computer Engineering University of Illinois Urbana-Champaign UrbanaIL United States Mechanical Science and Engineering University of Illinois Urbana-Champaign UrbanaIL United States

PyPartMC is a Pythonic interface to PartMC, a stochastic, particle-resolved aerosol model implemented in Fortran. Both PyPartMC and PartMC are free, libre, and open-source. PyPartMC reduces the number of steps and mitigates the effort necessary to install and utilize the resources of PartMC. Without PyPartMC, setting up PartMC requires: working with UNIX shell, providing Fortran and C libraries, and performing standard Fortran and C source code configuration, compilation and linking. This can be challenging for those less experienced with computational research or those intending to use PartMC in environments where provision of UNIX tools is less straightforward (e.g., on Windows). PyPartMC offers a single-step installation/upgrade process of PartMC and all dependencies through the pip Python package manager on Linux, macOS, and Windows. This allows streamlined access to the unmodified and versioned Fortran internals of the PartMC codebase from both Python and other interoperable environments (e.g., Julia through PyCall). Consequently, users of PyPartMC can setup, run, process and visualize output of PartMC simulations using a single general-purpose programming language. © 2023, The Authors. All rights reserved.

关键词： Monte Carlo methods