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Consumer Communications and Networking Conference, CCNC IEEE

作者： Lorenzo Gigli Federico Montori Mirko Zichichi Luca Bedogni Stefano Ferretti Marco Di Felice Department of Computer Science and Engineering University of Bologna Italy IOTA Foundation Berlin Germany Faculty of Maths and Physics University of Modena and Reggio Emilia Italy Department of Pure and Applied Sciences University of Urbino Italy

Mobile Crowdsensing (MCS) is a paradigm where a crowdsourcer recruits a set of workers through a campaign to collect data using sensors in their mobile device. This process greatly reduces the costs of data collection processes; however, most of the historically proposed systems are centralized. Since this makes the MCS platform a single point of failure, there is an increasing interest in decentralized blockchain-based solutions; regardless, most of the current proposals have a vertical focus and do not account for the heterogeneity of MCS. We propose a decentralized high-level architecture for MCS, based on Distributed Ledger technology (DLT), that is adaptable to most MCS deployments. We then implement our architecture using the IOTA protocols and evaluate its performance over a real deployment in terms of scalability, showing its advantages over classic blockchains for MCS data.

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Direct Optical Probing of the Magnetic Properties of the Layered Antiferromagnet CrPS4

arXiv

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arXiv 2024年

作者： Fąs, Tomasz Wlazlo, Mateusz Birowska, Magdalena Rybak, Milosz Zinkiewicz, Malgorzata Oleschko, Leon Goryca, Mateusz Gondek, Lukasz Camargo, Bruno Szczytko, Jacek Budniak, Adam K. Amouyal, Yaron Lifshitz, Efrat Suffczyński, Jan Institute of Experimental Physics Faculty of Physics University of Warsaw Pasteura St. 5 Warsaw02-093 Poland Chemical and Biological Systems Simulation Lab Centre of New Technologies University of Warsaw Warsaw02-097 Poland Institute of Theoretical Physics Faculty of Physics University of Warsaw Pasteura St. 5 Warsaw02-093 Poland Department of Semiconductor Materials Engineering Faculty of Fundamental Problems of Technology Wroclaw University of Science and Technology Wybrzeże Wyspiańskiego 27 Wroclaw50-370 Poland Department of Physics University of Konstanz Universitätsstraße 10 KonstanzD-78457 Germany Faculty of Physics and Applied Computer Science AGH University of Kraków Mickiewicza 30 Kraków30-059 Poland Schulich Faculty of Chemistry Technion – Israel Institute of Technology Haifa3200003 Israel Department of Materials Science and Engineering Technion – Israel Institute of Technology Haifa3200003 Israel

Unusual magnetic properties of Van der Waals type antiferromagnetic semiconductors make them highly attractive for spintronics and optoelectronics. A link between the magnetic and optical properties of those materials, required for practical applications, has not been, however, established so far. Here, we report on a combined experimental and theoretical study of magnetic, optical, and structural properties of bulk CrPS4 samples. We find that the magnetic-field-dependent circular polarization degree of the photoluminescence is a direct measure of the net magnetization of CrPS4. Complementary, Raman scattering measured as a function of magnetic field and temperature enables the determination of the magnetic susceptibility curve of the material. Our experimental results are backed by Our experimental results are supported by density functional theory calculations that take as input the lattice parameters determined from temperature-dependent X-ray diffraction measurements. This allows us to explain the impact of spin ordering on the spectral position of Raman transitions in CrPS4, as well as anomalous temperature shifts of selected of them. The presented method for all-optical determination of the magnetic properties is highly promising for studies of spin ordering and magnetic phase transitions in single- or a few-layer samples of magnetic layered materials, for which a poor signal-to-noise ratio precludes any reliable neutron scattering or magnetometry measurements. © 2024, CC BY.

关键词： Magnetic susceptibility

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From localized to propagating surface plasmon resonances in Au nanoparticle-coated optical fiber sensors and its implications in biosensing

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Photonics Research 2024年第10期12卷 2166-2177页

作者： PAULO S.S.DOS SANTOS JOÃO P.MENDES JORGE PÉREZ-JUSTE I.PASTORIZA-SANTOS JOSÉM.M.M.DE ALMEIDA LUÍS C.C.COELHO INESC TEC–Institute of Systems and Computer Engineering Technology and Scienceand Department of PhysicsFaculty of SciencesUniversity of PortoRua do Campo Alegre4169-007 PortoPortugal Faculty of Engineering University of PortoRua Dr.Roberto Frias4200-465 PortoPortugal CINBIO Universidade de VigoCampus Universitario LagoasMarcosende36310 VigoSpain SERGAS-UVIGO Galicia Sur Health Research Institute(IIS Galicia Sur)36312 VigoSpain Department of Physics School of Science and TechnologyUniversity of Trás-os-Montes e Alto Douro5001-801 Vila RealPortugal

Nanoparticle-based plasmonic optical fiber sensors can exhibit high sensing performance,in terms of refractive index sensitivities(RISs).However,a comprehensive understanding of the factors governing the RIS in this type of sensor remains limited,with existing reports often overlooking the presence of surface plasmon resonance(SPR)phenomena in nanoparticle(NP)assemblies and attributing high RIS to plasmonic coupling or waveguiding ***,using plasmonic optical fiber sensors based on spherical Au nanoparticles,we investigate the basis of their enhanced RIS,both experimentally and *** bulk behavior of assembled Au NPs on the optical fiber was investigated using an effective medium approximation(EMA),specifically the gradient effective medium approximation(GEMA).Our findings demonstrate that the Au-coated optical fibers can support the localized surface plasmon resonance(LSPR)as well as SPR in particular ***,we found that the nanoparticle sizes and surface coverage dictate which effect takes precedence in determining the RIS of the *** data,in line with numerical simulations,revealed that increasing the Au NP diameter from 20 to 90 nm(15%surface coverage)led to an RIS increase from 135 to 6998 nm/RIU due to a transition from LSPR to SPR ***,increasing the surface coverage of the fiber from 9%to 15%with 90 nm Au nanoparticles resulted in anincrease in RIS from 1297(LSPR)to 6998 nm/RIU(SPR).Hence,we ascribe the exceptional performance of these plasmonic optical fibers primary to SPR effects,as evidenced by the nonlinear RIS *** outstanding RIS of these plasmonic optical fibers was further demonstrated in the detection of thrombin protein,achieving very low limits of *** findings support broader applications of high-performance NP-based plasmonic optical fiber sensors in areas such as biomedical diagnostics,environmental monitoring,and chemical analysis.

关键词： fiber surface fibers

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Smart few-mode fiber multiplexer using multiplane light conversion

Smart few-mode fiber multiplexer using multiplane light conv...

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Frontiers in Optics + Laser science 2023, FiO, LS 203: Part of Frontiers in Optics + Laser science 2023

作者： Pohle, Dennis Barbosa, Fabio A. Ferreira, Filipe M. Rothe, Stefan Czarske, Juergen W. Faculty of Electrical and Computer Engineering TU Dresden Dresden01069 Germany Optical Networks Group Department of Electronic and Electrical Engineering University College London WC1E 7JE United Kingdom Institute of Applied Physics School of Science TU Dresden Dresden01069 Germany

We propose a digital twin using multiplane light conversion and neural networks for a digitally programmable multiplexer for space division multiplexing. The new approach is promising for few-mode fiber communication.... 详细信息

ISBN: (纸本)9781957171296

关键词： Few mode fibers Fiber optic communications Neural networks Single mode fibers Space division multiplexing Spatial light modulators

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Sawtooth lattice multiferroic BeCr2O4: Noncollinear magnetic structure and multiple magnetic transitions

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Physical Review Materials 2023年第2期7卷 024422-024422页

作者： Hector Cein Mandujano Alejandro Metta Neven Barišić Qiang Zhang Wojciech Tabiś Naveen Kumar Chogondahalli Muniraju Harikrishnan S. Nair Department of Physics 500 West University Avenue University of Texas at El Paso El Paso Texas 79968 USA Department of Chemistry 500 West University Avenue University of Texas at El Paso El Paso Texas 79968 USA Institute of Solid State Physics Vienna University of Technology Wiedner Hauptstrße 8–10 1040 Vienna Austria Department of Physics Faculty of Science University of Zagreb Bijenička cesta 32 10000 Zagreb Croatia Neutron Scattering Division Oak Ridge National Laboratory Oak Ridge Tennessee 37830 USA AGH University of Science and Technology Faculty of Physics and Applied Computer Science 30-059 Krakow Poland The Henryk Niewodniczanski Institute of Nuclear Physics Polish Academy of Sciences 152 Radzikowskiego Strasse 31-342 Krakow Poland Institute of Physics Bijenička cesta 46 HR-10000 Zagreb Croatia

Noncollinear magnetic structures and multiple magnetic phase transitions in a sawtooth lattice antiferromagnet consisting of Cr3+ are experimentally identified in this work, thereby proposing the scenario of magnetism-driven ferroelectricity in a sawtooth lattice. The title compound, BeCr2O4, displays three magnetic phase transitions at low temperatures—at TN1≈7.5 K, at TN2≈25 K, and at TN3≈26 K—revealed through magnetic susceptibility, specific heat, and neutron diffraction in this work. These magnetic phase transitions are found to be influenced by externally applied magnetic fields. Isothermal magnetization curves at low temperatures below the magnetic transitions indicate the antiferromagnetic nature of BeCr2O4 with two spin-flop-like transitions occurring at Hc1≈29 kOe and Hc2≈47 kOe. Our high-resolution x-ray and neutron diffraction studies, performed on single crystal and powder samples, unambiguously determined the crystal structure as orthorhombic Pbnm. By performing the magnetic superspace group analysis of the neutron diffraction data at low temperatures, the magnetic structure in the temperature range TN3,N2

关键词： Multiferroics Neutron diffraction X-ray diffraction

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Giant Oscillations of Vector Solitons Driven by Nonreciprocal Interactions

Giant Oscillations of Vector Solitons Driven by Nonreciproca...

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2024 Conference on Lasers and Electro-Optics, CLEO 2024

作者： Jung, Pawel S. Zakeri, M. Javad Ramaniuk, Aleksandr Blanco-Redondo, Andrea Hagan, David J. Dogariu, Aristide Christodoulides, Demetrios N. Assanto, Gaetano Krolikowski, Wieslaw Trippenbach, Marek CREOL The College of Optics and Photonics University of Central Florida OrlandoFL32816 United States Faculty of Physics Warsaw University of Technology Koszykowa 75 Warsaw00-662 Poland Faculty of Physics University of Warsaw Pasteura 5 Warsaw02-093 Poland Ming Hsieh Department of Electrical and Computer Engineering University of Southern California Los AngelesCA90089 United States NooEL-Nonlinear Optics and OptoElectronics Lab University Roma Tre Rome00146 Italy Department of Quantum Science and Technologies Research School of Physics Australian National University CanberraACT2601 Australia

We discover and discuss the giant oscillations of stable soliton-molecules as induced by the violation of the action-reaction principle in optical systems ruled by competing nonlinear nonlocal interactions. CLEO 2024 ... 详细信息

ISBN: (纸本)9781957171395

关键词： Nonlinear optics

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Extensive Numerical Analysis of PDF Parameters for Wind Energy in Brazil: A Study Across 27 Cities for 60 Years Wind Speed

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IEEE Access 2025年 13卷 84555-84568页

作者： Badawi, Ahmed Souza, Amaury Elzein, I.M. Ali, Hassan Zyoud, Alhareth University of Doha for Science and Technology College of Engineering Technology Doha Qatar Federal University of Mato Grosso do Sul Department of Physics Institute Campo Grande79070-900 Brazil Birzeit University Faculty of Engineering Department of Electrical and Computer Engineering RamallahP627 Palestine

This research conducts a comprehensive numerical assessment of wind energy potential across Brazil, utilizing six decades of wind speed data collected from 27 cities to analyze Probability Density Function (PDF) parameters and enhance wind resource mapping. The study employs the Weibull distribution, characterized by shape factor k and scale factor c, to represent wind speed variations. Nine numerical methods, including Maximum Likelihood Method (MLM), Method of Moments (MM), Empirical Method (EM), Standard Deviation Method (STDM), Modified Maximum Likelihood Method (MMLM), Second Modified Maximum Likelihood Method (SMMLM), Graphical Method (GM), Least Mean Square Method (LSM), and Energy Pattern Factor Method (EPF), were used for parameter estimation. Statistical analysis was conducted using metrics such as Index of Agreement (IA), Root Mean Square Error (RMSE), Chi-square test (χ2), Mean Absolute Percentage Error (MAPE), and Relative Root Mean Square Error (RRMSE. The results showed that MLM was the most accurate method, followed by STDM, EM, MM, and EPF, while GM and LSM were less effective. The analysis revealed a scale factor range of 2.17-2.36 m/s and a shape factor of 2.5-2.78, indicating a bell-shaped Gaussian PDF. The Mean Wind Speed (MWS) was 2.06 m/s, suggesting potential for small-scale wind turbine deployment for energy production. This study provides valuable insights for wind energy development in Brazil, offering a methodological approach to optimize wind turbine placement and reduce electricity generation costs. © 2013 IEEE.

关键词： Weibull distribution

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Self-supervised learning for denoising quasiparticle interference data

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Physical Review B 2025年第3期111卷 035136-035136页

作者： Ilse S. Kuijf Willem O. Tromp Tjerk Benschop Niño Philip Ramones Miguel Antonio Sulangi Evert P. L. van Nieuwenburg Milan P. Allan Leiden Institute of Physics Leiden University 2300 RA Leiden The Netherlands 〈aQa〉 at Lorentz Institute and Leiden Institute of Advanced Computer Science Leiden University P.O. Box 9506 2300 RA Leiden The Netherlands National Institute of Physics University of the Philippines Diliman Quezon City 1101 Philippines Faculty of Physics Ludwig-Maximilians-University Munich 80799 Munich Germany Center for Nano Science (CeNS) Ludwig-Maximilians-University Munich Munich 80799 Germany Munich Center for Quantum Science and Technology (MCQST) Ludwig-Maximilians-University Munich Munich 80799 Germany

Tunneling spectroscopy is an important tool for the study of both real- and momentum-space electronic structure of correlated electron systems. However, such measurements often yield noisy data. Machine learning provides techniques to reduce the noise in postprocessing, but traditionally requires noiseless examples which are unavailable for scientific experiments. In this work we adapt the unsupervised Noise2Noise and self-supervised Noise2Self algorithms, which allow for denoising without clean examples, to denoise quasiparticle interference data. We first apply the techniques on simulated data, and demonstrate that we are able to reduce the noise while preserving finer details, all while outperforming more traditional denoising techniques. We then apply the Noise2Self technique to experimental data from an overdoped cuprate [(Pb,Bi)2Sr2CuO6+δ] sample. Denoising enhances the clarity of quasiparticle interference patterns, and helps to obtain a precise extraction of electronic structure parameters. Self-supervised denoising is a promising tool for denoising quasiparticle interference data, facilitating deeper insights into the physics of complex materials.

关键词： Self-supervised learning

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Probability of the share price going beyond the established corridor

Probability of the share price going beyond the established ...

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International Conference on Control, Decision and Information Technologies (CoDIT)

作者： Sergei L. Semakov Faculty of Control and Applied Mathematics Moscow Institute of Physics and Technology Department of Mathematics Moscow Automobile and Road Construction Institute Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences the Russian Federation

ISBN: (数字)9798350373974

ISBN: (纸本)9798350373981

A technology is proposed for estimating the probability that the share price will leave the established corridor by a given point in time. The exact expression is obtained for the required probability under the assumption that the behavior of the share price is described by the well-known model of Samuelson, according to which the relative change in price is the sum of the non-random trend and the Wiener process.

关键词： Share prices Market research Information technology

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Charged quark stars in f(R,T)gravity

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Chinese physics C 2022年第11期46卷 308-317页

作者： Juan M.Z.Pretel Takol Tangphati Ayan Banerjee Anirudh Pradhan Centro Brasileiro de Pesquisas Físicas Rua Dr.Xavier Sigaud150 URCARio de Janeiro CEP 22290-180RJBrazil Theoretical and Computational Physics Group Theoretical and Computational Science Center(TaCS)Faculty of ScienceKing Mongkut’s University of Technology Thonburi126 Prachauthid Rd.Bangkok 10140Thailand Astrophysics and Cosmology Research Unit School of MathematicsStatistics and Computer ScienceUniversity of KwaZulu-NatalPrivate Bag X54001Durban 4000South Africa Centre for Cosmology Astrophysics and Space ScienceGLA UniversityMathura-281406Uttar PradeshIndia

Recent advances in nuclear theory and new astrophysical observations have led to the need for specific theoretical models applicable to dense-matter physics *** chromodynamics(QCD)predicts the existence of non-nucleonic degrees of freedom at high densities in neutron-star matter,such as quark *** a confining quark matter model,which consists of homogeneous,neutral 3-flavor interacting quark matter with O(m_(s)^(4))corrections,we examine the structure of compact stars composed of a charged perfect fluid in the context of f(R,T)*** system of differential equations describing the structure of charged compact stars has been derived and numerically solved for a gravity model with f(R,T)=R+2β*** simplicity,we assumed that the charge density is proportional to the energy density,namely,ρ_(ch)=αρ.It is demonstrated that the matter-geometry coupling constant β and charge parameter α affect the total gravitational mass and the radius of the star.

关键词： charged stars f(R T)gravity

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