bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cavity output field nonreciprocal control via interference effects
Authors: Zhang Yang , Ma Yu-bo , Zhu Hong-wei , Yu Chang-shui 
Published: March 2024

Abstract
We propose a scheme to investigate the coherent control of the output field in an asymmetrical cavity with and without atom interaction. We show that the system displays the phenomenon of nonreciprocal opacity and that broken cavity spatial symmetry is the sufficient and necessary condition to achieve nonreciprocal opacity when the relative phase of the input fields vanishes. Moreover, we also include the effect of the relative phase produced by the incoming fields and show how it realizes and modifies the nonreciprocal opacity in a symmetrical cavity. As a key result, we find that either the participation of atom–cavity interaction or the relative phase can promote the nonreciprocal opacity into a wider operating regime. Our findings show that, although nonreciprocal opacity is analogous to the optical diode effect and our system behaves like an optical isolator, it can still be operated in both forward and backward directions simultaneously.
Rotor speed estimation for half-broken bar detection in induction motors using Kalman filtering
Authors: Garcia-Calva Tomas , Morinigo-Sotelo Daniel , Mwata-Velu Tat’y , Garcia-Perez Arturo , Uribe-Murcia Karen 
Published: March 2024

Abstract
This study addresses the early detection of half-broken bars in induction motors (IMs). Most research on fault detection focuses on current signature analysis because it can provide online and remote monitoring at a low cost. However, errors caused by spectral leakage around the fundamental frequency supply reduce its reliability for fault diagnosis at the incipient stages. The proposed detection technique is based on a spectral analysis of the motor speed. To detect a half-broken bar, measurements of stator voltages and currents are processed by an adaptive extended Kalman filter for system state estimation. Then, a spectral analysis is applied to the estimated motor speed to obtain its power spectral distribution. Finally, the fault harmonic amplitude at

2
s

f

s

is used as fault indicator for fault diagnosis. The proposed approach has three main advantages: (1) speed estimation is unaltered by spectral leakage around the main frequency supply, (2) the cost of speed sensors is avoided, and (3) the absence of connecting shaft couplings prevents corruption of speed data by mechanical interference. Numerical simulations and experimental results were carried out for the squirrel cage IM to provide encouraging validation of the proposed early fault detection technique.
Verifiable quantum secret sharing scheme based on orthogonal product states
Authors: Bai 白 Chen-Ming 晨明 , Liu 刘 Lu 璐 , Zhang 张 Sujuan 素娟 
Published: March 2024

Abstract
In the domain of quantum cryptography, the implementation of quantum secret sharing stands as a pivotal element. In this paper, we propose a novel verifiable quantum secret sharing protocol using the d-dimensional product state and Lagrange interpolation techniques. This protocol is initiated by the dealer Alice, who initially prepares a quantum product state, selected from a predefined set of orthogonal product states within the ℂ
d
⊗ ℂ
d
framework. Subsequently, the participants execute unitary operations on this product state to recover the underlying secret. Furthermore, we subject the protocol to a rigorous security analysis, considering both eavesdropping attacks and potential dishonesty from the participants. Finally, we conduct a comparative analysis of our protocol against existing schemes. Our scheme exhibits economies of scale by exclusively employing quantum product states, thereby realizing significant cost-efficiency advantages. In terms of access structure, we adopt a (t,n)-threshold architecture, a strategic choice that augments the protocol’s practicality and suitability for diverse applications. Furthermore, our protocol includes a rigorous integrity verification mechanism to ensure the honesty and reliability of the participants throughout the execution of the protocol.
Mobility edges and localization characteristics in one-dimensional quasiperiodic quantum walk
Authors: Cui 崔 Xin-Hui 鑫辉 , Wang 王 Hui-Min 慧敏 , Li 李 Zhi-Jian 志坚 
Published: March 2024

Abstract
We construct a one-dimensional quasiperiodic quantum walk to investigate the localization–delocalization transition. The inverse participation ratio and Lyapunov exponent are employed as two indexes to determine the mobility edge, a critical energy to distinguish the energy regions of extended and localized states. The analytical solution of mobility edge is obtained by the Lyapunov exponents in global theory, and the consistency of the two indexes is confirmed. We further study the dynamic characteristics of the quantum walk and show that the probabilities are localized to some specific lattice sites with time evolution. This phenomenon is explained by the effective potential of the Hamiltonian which corresponds to the phase in the coin operator of the quantum walk.
Evolution of helium bubbles in FeCoNiCr-based high-entropy alloys containing γ′ nanoprecipitates
Authors: Feng 冯 Ting 婷 , Jiang 蒋 Sheng-Ming 胜明 , Hu 胡 Xiao-Tian 潇天 , Zhang 张 Zi-Jun 子骏 , Huang 黄 Zi-Jing 子敬 , Dong 董 Shi-Gang 士刚 , Zhang 张 Jian 建 
Published: March 2024

Abstract
A series of high-entropy alloys (HEAs) containing nanoprecipitates of varying sizes is successfully prepared by a non-consuming vacuum arc melting method. In order to study the irradiation evolution of helium bubbles in the FeCoNiCr-based HEAs with γ′ precipitates, these samples are irradiated by 100-keV helium ions with a fluence of 5×1020 ions/m2 at 293 K and 673 K, respectively. And the samples irradiated at room temperature are annealed at different temperatures to examine the diffusion behavior of helium bubbles. Transmission electron microscope (TEM) is employed to characterize the structural morphology of precipitated nanoparticles and the evolution of helium bubbles. Experimental results reveal that nanosized, spherical, dispersed, coherent, and ordered L12-type Ni3Ti γ′ precipitations are introduced into FeCoNiCr(Ni3Ti)0.1 HEAs by means of ageing treatments at temperatures between 1073 K and 1123 K. Under the ageing treatment conditions adopted in this work, γ′ nanoparticles are precipitated in FeCoNiCr(Ni3Ti)0.1 HEAs, with average diameters of 15.80 nm, 37.09 nm, and 62.50 nm, respectively. The average sizes of helium bubbles observed in samples after 673-K irradiation are 1.46 nm, 1.65 nm, and 1.58 nm, respectively. The improvement in the irradiation resistance of FeCoNiCr(Ni3Ti)0.1 HEAs is evidenced by the diminution in bubbles size. Furthermore, the FeCoNiCr(Ni3Ti)0.1 HEAs containing γ′ precipitates of 15.8 nm exhibits the minimum size and density of helium bubbles, which can be ascribed to the considerable helium trapping effects of heterogeneous coherent phase boundaries. Subsequently, annealing experiments conducted after 293-K irradiation indicate that HEAs containing precipitated phases exhibits smaller apparent activation energy (E
a) for helium bubbles, resulting in larger helium bubble size. This study provides guidance for improving the irradiation resistance of L12-strengthened high-entropy alloy.
A package to bridge experimental tokamak data to modelling workflows for heating and transport
Authors: Tardini G. , Odstrcil T. , Poli E. , Weiland M. ,   the ASDEX Upgrade Team
Published: March 2024

Abstract
The comprehensive visual tool TRVIEW is presented, a software to read and fit experimental measurements and equilibrium reconstruction in the frame of nuclear fusion research. At the same time, TRVIEW provides a framework to setup physics workflows, especially those related to heating and transport. The TRVIEW package was originally created in order to provide file input to transport codes such as ASTRA and TRANSP. However, having a comprehensive set of python classes for the experimental plasma parameters, it allows direct coupling to several modules, such as the heating and current-drive codes RABBIT and TORBEAM and the equilibrium codes FEQIS and NEMEC. The direct coupling allows also direct visualisation of the input and output parameters and profiles in TRVIEW. The option of storing equilibrium files in the standard gEQDSK format is also enabled in TRVIEW. Special algorithms have been developed or adapted for TRVIEW: a class for fitting the plasma separatrix contour with Fourier moments, a recursive procedure for spline fits of the experimental kinetic profiles. Finally, TRVIEW includes the option to read, visualise and write integrated modelling and analysis system (IMAS) files with a comprehensive set of integrated data structures, covering most of the discharge and plasma parameters and several source profiles, calculated with the TORBEAM and RABBIT codes. This enables users to setup workflows for code validation and physics investigations using the world-wide established IMAS environment. TRVIEW can take the experimental input from the shotfile system of the ASDEX Upgrade tokamak or from IMAS files. Since the algorithms and the coupled codes are device-agnostic, TRVIEW is portable to any other fusion devices.
Seasonal variation of Marine Heat Wave in the East China Sea
Authors: Li Yifan , He Hailun , Zhao Liang , Li Yiwen , Lin Pengfei 
Published: March 2024

Abstract
The satellite-based daily sea surface temperature was used to study the Marine Heat Wave (MHW) in the East China Sea. The seasonal variation of MHW is significant. In winter, the 200 m isobath on the shelf is identified as a section with high-frequency MHW. The duration of MHW is relatively long on the slope and deep basin, and mean intensity of MHW is obviously high in the central Taiwan Strait. In summer, the frequency of MHW is relatively high near the coast of the China Mainland. Meanwhile, the shelf section of the 200 m isobath is also high in frequency. Otherwise, the duration of MHW on the shelf is short. In the northern shelf, the mean intensity of MHW is obviously higher. The total days and maximum intensity of MHW are also discussed, aiming at giving near-fully description of MHW in the East China Sea.
Temporal and spatial distribution characteristics of ocean temperature front in Antarctic Circumpolar Current waters
Authors: Dou Hongyu , Guo Hailong , Wu Jiawei , Xi Shengjun 
Published: March 2024

Abstract
This article uses satellite data and reanalysis data to study the spatiotemporal distribution characteristics of ocean temperature fronts in the Antarctic Circumpolar Current (ACC) waters under the proposed new classification standard using an optimized dynamic gradient threshold method based on Bayesian decision theory. The permanent oceanic front is mainly distributed between 40°S-65°S, with an average intensity of 1.5 °C per 100 kilometers; The average intensity of a semi permanent ocean front is 1.2 °C per 100 kilometers; The average intensity of the short-term oceanic front is around 1 °C per 100 kilometers. The determination of the optimal threshold in the ocean front recognition method adopted in this article is adaptive to the temperature distribution of the studied sea area, effectively reducing the subjectivity of threshold selection.
Statistical Analysis of Mesoscale Eddy Characteristics in the northwestern Pacific Ocean
Authors: Shang Longquan , Han Kaifeng , Chen Feng , Wang Ning , Lu Jiaqing 
Published: March 2024

Abstract
In this paper, the mesoscale eddy data set established by Professor Chelton in Oregon State University is used to analyse the statistical characteristics of mesoscale eddies in the Northwest Pacific Ocean. Mesoscale eddies in this region are divided into short-lived, Mid-lived, and long-lived eddies according to their life cycle with the aim of exploring the characteristics of eddies with different life cycles. Those with a life cycle of less than 6 weeks, 6-9 weeks, and more than 9 weeks are defined as short-lived eddies, mid-lived eddies, and long-lived eddies, respectively. The results show that most of the eddies are short lived eddies with a lifetime of 6 weeks or less. Both short-lived eddies and Mid-lived eddies have more cyclonic eddies than anticyclonic eddies. But long-lived eddies have more anticyclonic eddies than cyclonic eddies. In addition, the number of short-lived eddies in the Subtropical Ocean is more than those in the Kuroshio Extension, while the number of long-lived eddies is the opposite.
Numerical simulation study on hydrodynamics of Xisha Islands and Reefs driven by tide levels, sea surface heights and ocean currents
Authors: Cao Yonggang , Zeng Cansheng , Liao Shizhi , Chen Yizhan , Ma Yu , Zhang Yan , Ma Lei , Zhou Dongsheng , Zhou Runsheng 
Published: March 2024

Abstract
This study employs the FVCOM numerical model to investigate tide flow and hydrodynamics in the marine region surrounding Yongxing Island. The HYCOM model is utilized to obtain sea surface height and ocean current data at the boundary. Additionally, the astronomical tide level predicted by the TPXO9 global tide model is incorporated into the analysis. Through numerical simulation research, the paper aims to examine the aforementioned phenomena. The findings indicate a strong concurrence between the outcomes of the FVCOM numerical simulation and the observed data. The winter and summer tidal patterns in the seas around Yongxing Island exhibit a high degree of similarity. In winter, the current speed of rapid flood and ebb process, exhibits somewhat higher than that in summer. The maximum current speed occurs in the northern marine region of Yongxing Island, during the rapid flood process, whereas it occurs in the northwest marine region of Yongxing Island during the rapid ebb process.
A Deep Learning Method for Arctic Sea Ice Type Classification Based on Active-Passive Microwave Data
Authors: Huang Rui , Xie Tao , Wang Changying 
Published: March 2024

Abstract
The Arctic-scale classification of sea ice type is important in the fields of macro-monitoring in the Arctic, climate change assessment, and long time-series interannual variability of sea ice. To date, a lack of deep learning-based algorithms for detecting Arctic sea ice types from microwave sensors is comparatively rare. In this study, a sea ice type classification algorithm based on the U-Net-CBAM deep learning semantic segmentation network was developed by carrying out research on sea ice type classification algorithms in the Arctic through the integrated use of ASCAT scatterometer and AMSR2 radiometer data. The results of the study show that the proposed method achieves an impressive average accuracy of 94.1% in extracting sea ice categories using AARI ice maps. The results of the algorithm show a high degree of agreement with the OSI-SAF sea ice type daily products.
A Water Quality Prediction Method Based on Deep LSTM Network
Authors: Jiang Nian , Hu Zechen , Huang Yifeng , Li Lulu , Xu Chongyang 
Published: March 2024

Abstract
Water quality parameters are key factors affecting marine ranching. The water quality parameters are not consistent, which are usually complex and variable. The traditional water quality prediction methods have problems such as low long-term prediction accuracy and weak generalization ability. In order to solve the above problems, this paper proposes a multivariate water quality prediction model based on WT-LSTM, which is compared with the BP neural network model for short-term prediction and long-term prediction of dissolved oxygen water quality parameters, and the experimental results show that the WT-LSTM model has good accuracy and generalization in both short-term and long-term prediction, and the short-term prediction accuracy can be up to 98.47% and the long-term prediction accuracy can be up to 98.28%.
Global Sea Surface Temperature Analysis Based on Domestic Ocean Satellite Data. Part II: Comparative Analysis of Multiple Sets of Global Sea Surface Temperature Products in 2022
Authors: Yu Qinglong , Qin Yinghao , Wan Liying 
Published: March 2024

Abstract
With more and more global gap-free fusion products of the sea surface temperature, understanding the consistency and discrepancy of the different SST fusion products will not only help data providers to improve their algorithms, but also help them to select the one that may better suit their applications. In this article, we have compared and analysed 10 sets of global gap-free fusion products of sea surface temperature in 2022, with different fusion techniques and related configurations. It is found that each SST analysis product has the same spatial distribution, with the minimum NMEFC mean value (20.11) and the maximum MGDSST mean value (20.31). Compared with ARGO in-situ data, the RMSE ranges are from 0.3233 (OSTIA) to 0.5180 (MGDSST). The RMSE between NMEFC fusion products and Argo in-situ data is 0.3861, ranked fifth out of 10 sets of fusion products. Compared with GMPE analysis among 9 sets of fusion products, the RMSE ranges are from 0.1579 (CMC) to 0.3199 (K10), and the NMEFC fusion product has a RMSE of 0.3040, which is at the intermediate level, ranked sixth out of 9 fusion products.
Three-dimension holographic numerical simulation of gravity anomalies
Authors: Zhu Dexiang , Dai Shikun , Chen Qingrui , Tian Hongjun 
Published: March 2024

Abstract
In gravity-anomaly-based prospecting, it is difficult to achieve large-scale and high-precision inversion imaging of complex geological models. To address this issue, this paper proposes a three-dimensional holographic numerical simulation method for gravity anomalies. This method transforms the 3D partial differential equation of gravity potential into many independent 1D differential equations with different wavenumbers by performing a 2D Fourier transform along the horizontal direction. It decomposes a large-scale 3D numerical modeling problem into many 1D numerical modeling problems, which greatly reduces the computation and memory requirements of modeling, and each 1D differential equation is independent, so it has high parallelism. The vertical direction is reserved as the spatial domain, which has strict upper and lower boundary conditions; The horizontal 2D Fourier transform uses a holographic Fourier transform (Holo-FT) with a full interval of integration, consistent with the physical boundary in the horizontal direction, thus the physical information of the gravity potential described by the three-dimensional partial differential equation is fully and accurately simulated. Using the high parallelism of the algorithm, the CPU is used for parallel solving ordinary differential equations, while the GPU is used for parallel computing of Holo-FT, which implements the CPU-GPU parallel acceleration scheme and further improves the efficiency of this algorithm.
Research on reconstruction of diffraction tomography based on prior information
Authors: Liang Peihui , Tang Wusheng , Han Jingqi , Wang Jun , Zhang Peng , Lou Kang , Xu Pan 
Published: March 2024

Abstract
Under coherent light illumination, several approaches need either angle scanning or diffuser rotating to reconstruct the image through opaque scattering media. We propose a linear model to restore the hidden object through the actual power spectrum with disturbance of the scattering layer. The experimental results confirm that, the algorithm quickly converge to the only correct reconstruction solution with the accuracy power spectrum pattern of Fourier transform, and the method can reconstruct the high accuracy image of the object hidden by the scattering media with one-shot power spectrum.
Three-dimensional modeling of Marine Controlled Source Electromagnetic field using a space-wavenumber domain method
Authors: Chen Qingrui , Ma Shuqing , Zhang Lilun , Dai Shikun , Ling Jiaxuan 
Published: March 2024

Abstract
Under complex conditions, the three-dimensional modeling of Marine Controlled Source Electromagnetic field requires a significant amount of computation, resulting in slow calculation speed and high storage requirements. To solve these problems, we propose a 3D numerical simulation method of electromagnetic field in the space-wavenumber domain under the Lorenz gauge. Firstly, the new method utilizes the two-dimensional Fourier transform in the horizontal direction to transform the 3D partial differential equations of the Lorenz vector potentials into multiple independent ordinary differential equations. Secondly, the finite element method is used to solve the ordinary differential equations. The fields in the spatial domain are then obtained by using the inverse Fourier transform, and finally, an iterative method with a compact operator is applied to approximate the true solution. The approach requires less computation and storage, and the algorithm is highly parallel, which effectively improves the efficiency of 3D forward modeling of electromagnetic fields. The correctness, effectiveness, and computational efficiency of the method are verified by the design model.
Three-dimensional temperature field inversion in the northern South China Sea
Authors: Li Jingshi , Kuang Xiaodi , Liu Guimei 
Published: March 2024

Abstract
A Swin Transformer oceanic three-dimensional temperature field inversion model is established for the northern South China Sea and its surrounding waters based on satellite observation data and ocean reanalysis data from 1993 to 2018. The inversion results are tested using Argo observation data. The root-mean-square errors of the monthly average temperature fields for 2017 and 2018 are 0.10 to 1.98°C and 0.11 to 1.92°C, respectively, with the maximum values mainly located near the mixing layer. The temperature inversion root-mean-square errors are generally less than 1 °C. Additionally, this article analyzes the three-dimensional structural characteristics and evolution process of a typical anticyclone eddy in the study area. The results show that the inversion results can clearly demonstrate the three-dimensional structure of the eddy and continuously and completely reproduce the process of eddy persistence and movement.