bluuebunny/crossref_metadata_2025_split huggingface dataset:
Uncertainty evaluation for dynamic observations of unknown models based on mixture density network
Authors: Jiang Wen–Shu , Zhang Cheng–Yao , Cheng Zhen–Ying , Li Rui–Jun 
Published: December 2024

Abstract
Uncertainty of dynamic observations is an important indicator for characterizing the accuracy of dynamic measurements. However, the accuracy and reliability of dynamic observations with unknown models are difficult to characterize accurately using existing methods. An uncertainty evaluation method for dynamic observations based on mixture density network (MDN) is proposed. MDN is formed by combining the forward network with the Gaussian mixture model, which is appropriate for describing complex distributions. The radial basis function was used to construct the network and estimate the model parameters. The effectiveness of the MDN model is verified by processing simulated time series and experimental data. First, the uncertainties of three kinds of time series were evaluated based on the MDN model. Second, MDN was used to evaluate the uncertainties of dynamic observations for a contact probe, and the coordinate values were used as the network input to predict the change trend of the measured signals. The reliability of the proposed method was verified by comparing it with the Guide to the Expression of Uncertainty in Measurement and Monte Carlo methods.
A pitting fault diagnosis method for planetary gears in automatic transmission based on multiple advantageous sub-band signal fusion
Authors: Gong Ran , Chen Chen , Zhang Jinle , Li Jinxiao , Zhang Ximing 
Published: December 2024

Abstract
Localized pitting in planetary gears is a critical fault in the automatic transmission (AT) systems of heavy-duty vehicles, and identifying this fault is an important aspect of vehicle maintenance. A single sensor often fails to capture comprehensive fault information from the housing of the AT. To fully capture fault characteristics from multi-sensor data and improve the accuracy of intelligent fault diagnosis, this paper proposes a pitting fault diagnosis method based on the fusion of multiple advantageous sub-band signals. Initially, the proposed method employs variational mode decomposition based on K-optimization to demodulate the raw fault signals acquired by various sensors. Subsequently, the advantageous sub-band signals, which contain the pitting fault information, are selected by integrating two indices: variance accounted for and spectral entropy (H(F)). These selected sub-band signals are then fused using a data fusion method based on the dissimilarity measure. Finally, a 1D-AlexNet model is constructed to diagnose the fused signals. The validity and superiority of this method are confirmed through a pitting fault injection experiment on an AT test rig. This paper also compares other diagnosis methods to further demonstrate the superiority of the proposed method.
DE-RGBD SLAM: enhancing static feature point selection in RGB-D visual SLAM using depth information
Authors: Wu Moudong , Zheng Qingchun , Ma Wenpeng , Zhu Peihao , Yang Bin 
Published: December 2024

Abstract
Feature point extraction plays a key role in visual simultaneous localization and mapping (SLAM) systems. And it remains a major challenge to accurately select static feature points in a complex dynamic environment. To address this issue, this paper proposes an RGB-D SLAM method, referred to as DE-RGBD SLAM, which optimizes feature selection by integrating depth information and effectively utilizes depth data and multi-view geometric information to achieve localization and navigation for mobile robots in dynamic environments. Firstly, the method analyzes prominent feature regions in the image based on color and depth information captured by an RGB-D camera. It sets adaptive FAST corner detection thresholds according to the grayscale information of these regions while masking other areas. Next, the method obtains in-depth information on the detected feature points in the current frame. It combines their pixel coordinates in the image coordinate system to determine the presence of redundant feature points. Notably, the method can detect some dynamic feature points between consecutive frames. Subsequently, in the camera coordinate system, the method compares the depth information of feature points in the depth image with the epipolar depth estimates derived from the essential matrix to determine whether the features are static and eliminate dynamic feature points. This approach significantly enhances the reliability of static feature points. Finally, the accuracy and robustness of the proposed method are validated through experiments conducted on the public TUM dataset and real-world scenarios compared to state-of-the-art visual SLAM systems.
Direct assessment of the influence of pose repeatability on the accuracy of dimensional measurements for computed tomography systems with high degrees of freedom
Authors: Butzhammer Lorenz , Handke Niklas , Wittl Simon , Herl Gabriel , Hausotte Tino 
Published: December 2024

Abstract
Industrial x-ray computed tomography (CT) systems with high geometric flexibility are increasingly utilized for large-scale measurement objects or challenging measurement tasks. To maintain high accuracy when deviating from the established circular scan trajectory, trajectory calibration methods using multi-sphere reference objects with known marker positions are commonly employed. These multi-sphere objects can either be scanned together with the measurement object (online trajectory calibration) or in a separate scan (offline trajectory calibration). While offline calibration increases machine time, it generally results in higher scan quality. However, a sufficient pose repeatability is necessary to ensure comparable or even superior accuracy to online calibration. In this contribution, we present a straightforward procedure to compare both types of trajectory calibration in a way that the differences of the results can directly be traced back to the influence of the pose repeatability. The multi-sphere reference object is not only used for trajectory calibration, but simultaneously as a measurement object for repeated measurements. The methodology is tested on both a twin robotic CT system and a conventional CT system that is additionally equipped with a hexapod manipulator for adaptive object tilting. Results showed, independent from the type of trajectory calibration, systematic measurement errors in the order of 10−5–10−4 of measured sphere distances and sphericity values below 50

μ

m

. For sphere distances, random errors were increased by a factor of 5 due to the offline trajectory calibration, but were still low (

<

1

μ

m

) in comparison to systematic errors and the spread of different measurement features. Overall, both investigated systems demonstrated sufficient positioning repeatability for offline trajectory calibration. The method is in general also applicable to any other types of manipulator systems used for CT devices. It provides a workflow for the decision which type of trajectory calibration is preferable for a given CT system.
Implementation of a long-wavelength model for parallel magnetic fluctuations in the global GENE code
Authors: Sheffield F , Görler T , Wilms F , Merlo G , Jenko F 
Published: December 2024

Abstract
A long-wavelength model for the turbulent magnetic fluctuations parallel to the magnetic field (

B

1
,

|

|

) has been implemented in the global gyrokinetic code GENE. The model provides a way to include this physical effect with little computational cost, permitting the study of

B

1
,

|

|

on global nonlinear gyrokinetic simulations. The model has been verified through convergence tests and against an arbitrary wavelength solver, resulting in good performance up to moderately high wavelengths (

k
y

ρ
s

≲
1

). Using this approximation global nonlinear fully electromagnetic simulations were performed with Cyclone Base Case-like parameters to study the impact of

B

1
,

|

|

on different plasma β regimes. A negligible impact for a low beta regime and roughly a doubling of the heat transport when including

B

1
,

|

|

in a high beta KBM regime is found, which is in line with expectations based on linear studies and highlights the impact of

B

1
,

|

|

in KBM driven scenarios.
The effects of sequential annealing in NO and wet-O2 on interfacial properties and reliability of 4H-SiC (0001) MOS devices
Authors: Lu Wenhao , Ge Niannian , Wan Caiping , Xu Hengyu , Jin Zhi , Ye Tianchun , Zhou Jingtao 
Published: December 2024

Abstract
Post-oxidation annealing (POA) is widely employed in academic research as well as in mass production to improve the properties of SiC MOS devices. We investigated the effect of sequential annealing in NO and wet-O2 on interfacial properties and reliability of 4H-SiC MOS capacitors. Compared with the SiC MOS capacitors with normal NO annealing, the sample with NO and wet annealing shows almost identical interface state density, near-interface trap density and the F-N effective barrier height. Regarding the breakdown characteristics, the charge-to-breakdown (QBD) of sample NO/wet is increased by two times than sample NO at cumulative failure probability F = 63.2 %. Moreover, XPS analysis results confirm that sequential annealing can reduce the interface states and improve the oxide reliability by eliminating Si-related SiOxCy defects and carbon-related defects. The subsequent wet annealing can not only annihilate oxygen vacancies which are generated by additional oxidation after NO POA, but also suppress the deterioration of bulk SiO2 quality to further improve the gate oxide reliability of SiC MOS structures. These results will be useful for the improved control of the interface state passivation technologies and the further optimization of the properties of the SiO2/4H-SiC interface.&#xD;
Deep knowledge transfer powered ultrasonic guided wave damage monitoring under incomplete database scenarios: theories, applications and challenges
Authors: Hong Xiaobin , Cai Yifan , Chen Zhuyun , Huang Ruyi , Zhang Bin 
Published: December 2024

Abstract
Ultrasonic guided waves (UGWs) can travel long distances within the detected structures, which is of great significance for monitoring large complex engineering systems. However, the multimodal and dispersive properties of the specific research object making this promising whole structure monitoring difficult to interpret the signal mathematically and physically. With the development and maturity of deep learning and big data mining technologies, many scholars have noticed artificial intelligence algorithms such as deep learning can provide a new tool in UGWs signal processing, avoiding the mechanism analysis difficulties in the application of UGWs. But the integrity of structural state data sets has become a new pain point in engineering applications under this new approach, and how to apply the knowledge obtained from the existing data set to different but related fields through knowledge transfer in such cases begin to attract the attention of scholars and engineers. Although several systematic and valuable review articles on data-driven UGWs monitoring methods have been published, they only summarized relevant studies from the perspective of data-driven algorithms, ignoring the knowledge transfer process in practical application scenarios, and the intelligent UGWs monitoring methods based on knowledge transfer of incomplete sets are still lacking a comprehensive review. This paper focuses on the UGWs transfer monitoring technology when the training sample is missing, explores the feature correlation between samples in different domains, improves the transfer ability of the structural monitoring model under different conditions, and analyzes the UGWs intelligent monitoring methods for structural state under different sample missing conditions from three aspects: semi-supervised monitoring, multi-task transfer and cross-structure transfer. It is also expected to provide a new method and approach to solve the condition monitoring problems in other complex scenarios.
Large upper critical fields and strong coupling superconductivity in the medium-entropy alloy (Ti1/3Hf1/3Ta1/3)1−xNbx
Authors: Li Longfu , Tian Hongyan , Hu Xunwu , Zeng Lingyong , Li Kuan , Yu Peifeng , Wang Kangwang , Chen Rui , Xiang Zaichen , Yao Dao-Xin , Luo Huixia 
Published: December 2024

Abstract
Since the discovery of high-entropy superconductors in 2014, superconductivity has remained a focal point of interest in medium- and high-entropy alloys (MEAs-HEAs). Here, we report a series of (Ti1/3Hf1/3Ta1/3)1−x
Nb
x
(0 ⩽ x⩽ 0.9) MEA superconductors crystallized in the body-centered cubic structure, whose superconductivity was characterized by resistivity, magnetization, and specific heat measurements. The study found that the (Ti1/3Hf1/3Ta1/3)1−x
Nb
x
MEAs exhibit bulk superconductivity. With the doping of Nb, the superconducting transition temperature (T
c) increases from 5.31 to 9.11 K, and the normalized C
el jumps at T
c, ΔC
el/γT
c, and the logarithmically averaged characteristic phonon frequency ω
log exhibit dome-shaped curves. Results from specific heat measurements indicate that the superconductivity is of a strongly coupled s-wave type observed at 0 ⩽ x⩽ 0.75. Furthermore, at low Nb content (0 ⩽ x ⩽ 0.125), the upper critical field of the samples is larger than the Pauli paramagnetic limit. The strongly coupling behavior and large upper critical field in s-wave type (Ti1/3Hf1/3Ta1/3)1−x
Nb
x
MEA superconductors are unusual, as they typically occur in other unconventional superconductors. Thus, (Ti1/3Hf1/3Ta1/3)1−x
Nb
x
may have significant potential in the research and understanding of physical mechanisms.
Monitoring fatigue failure in REBCO coated conductors at cryogenic temperatures using advanced optical fiber sensors
Authors: Zhang Pengnian , Wang Xingzhe , Guan Mingzhi , Chen Sikan , Pan Yuanzhou , Xin Canjie , Wu Wei , Zhu Jiamin , Lin Xiaohui 
Published: December 2024

Abstract
Fatigue failure from cyclic loading, such as thermal cycles and electromagnetic forces, poses a significant challenge for rare-earth barium copper oxide (REBCO) coated conductor tape. Addressing this issue requires effective real-time evaluation techniques to enhance our understanding of fatigue properties and predict potential failures. A new method has been developed to detect and locate fatigue damage by reconstructing time-series macro-strain data using Rayleigh scattering-based optical frequency-domain reflectometry distributed optical fiber sensors (DOFSs). These newly developed copper-coated sensors are installed on the surface of REBCO CC tape, achieving perfect fit and consistency with the deformation of the tape. The strain measurements obtained from soldered-DOFS and bonded-DOFS, which used epoxy resin at liquid nitrogen temperature, were compared. A series of cyclic tests at this temperature differentiated mechanical and thermal fatigue using soldered-DOFS. An empirical model for fatigue damage in REBCO, based on accumulated maximum strain data, was established, explaining how mechanical parameters and temperature changes affect fatigue properties. Experimental results show that soldered-DOFS outperforms bonded-DOFS under cyclic loading at liquid nitrogen temperature. This provides a reliable way to measure and distinguish between mechanical and thermal fatigue, and aids in detecting and locating damage, as well assessing the remaining life of REBCO CC tapes.
Dissipation-accuracy tradeoffs in autonomous control of smart active matter
Authors: Cocconi Luca , Mahault Benoît , Piro Lorenzo 
Published: December 2024

Abstract
The study of motility control by smart agents offers a promising platform for systematically exploring the fundamental physical constraints underlying the functioning of bio-inspired micro-machines operating far from equilibrium. Here, we address the question of the energy expenditure required for a self-steering active agent to localise itself within a specific region of space or follow a pre-defined trajectory under the influence of fluctuations and external flows. Building on a stochastic thermodynamic formulation of the problem, we derive a generic relationship between dissipation and localisation accuracy, which reveals a fundamental dissipation-accuracy tradeoff constraining the agent’s performance. In addition, we illustrate how our framework enables the derivation of optimal steering policies that achieve localisation at minimum energy expenditure.
Computational insights into the impact of co-doping and induced pressure on magnetic switching properties of multiferroic for data transfer
Authors: Tariq Muhammad , Shaari Amiruddin , Tufail Kashif , Ahmed Rashid , Yamusa Shehu Aminu 
Published: December 2024

Abstract
Bismuth ferrite BiFeO3 (BFO) stands out as one of the most extensively researched multiferroic materials due to its magnetoelectric switching behavior. First-principles analysis within generalized gradient approximation plus Hubbard U (GGA+U) was employed to investigate the effects of lanthanum (La) doping at the A-site and nickel (Ni) doping at the B-site, as mono- and co-dopants, on spin-polarized electronic, structural, and magnetic properties for magnetic switching. The lattice constant and volume of BFO decrease linearly with increasing pressure. BFO in its cubic phase with space group Pm-3m typically exhibits metallic behaviour. However, the semiconducting nature of BFO in cubic phase has been observed, accompanied by enhanced magnetism (8.73 × 104 A m−1), strong magnetoelectric coupling (1.82 × 10−7 m−1sec) and a colossal value of magnetic force (1.82 T) at 60 GPa pressure. In Ni-substituted BFO structure, a large magnetization of 7.83 × 104 A m−1 and a linear magnetoelectric coupling coefficient of 1.64 × 10−8 sec m−1 and a remarkably high magnetic force of 1.64 T were observed, which is suitable for data transfer applications.
Construction of silver-doped graphitic carbon nitride integrated zeolitic imidazolate framework as an ultra-sensitive probe for colorimetric detection application
Authors: Zairov Rustem R , Elgorban Abdallah M , Jameel Rafid Kamal , Albadr Rafid Jihad , Hatem Ali , Mansoor Aseel Salah , Radi Usama Kadem , Abd Nasr Saadoun , Alfagham Alanoud T , Janani Baadal Jushi 
Published: December 2024

Abstract
Malachite green, and phloxine B are highly effective antifungal, and antibacterial agents utilized primarily in aquaculture. It is classified within the Triarylmethane dye. Numerous studies have indicated that malachite green, and phloxine B are significantly toxic to both terrestrial and aquatic organisms. More critically, it poses substantial risks to human health and safety. As a result, several governments have prohibited its application in aquaculture and food production. There is a pressing need to develop a novel colorimetric probe for the detection of malachite green, and phloxine B. In response, a composite material was synthesized, combining Zeolitic Imidazolate Framework (ZIF-8) with silver-doped graphitic carbon nitride (Ag-g-C3N4), to serve as a colorimetric probe for the sensitive and selective identification of malachite green, and phloxine B. The Ag-g-C3N4/ZIF-8 composite demonstrated exceptional colorimetric sensing capabilities, attributed to the synergistic interactions between ZIF-8 and Ag-g-C3N4, achieving a detection limit as low as 1.073 nM, and 1.214 nM, for malachite green, and phloxine B, respectively. This composite represents a significant advancement in environmental sensing technology, providing a versatile and effective approach for detecting and addressing contamination in water resources.
Oscillatory nonlocal solitons confined by a rectangular boundary
Authors: Wang Jing , Zhang Peishan , Hu Wei 
Published: December 2024

Abstract
We investigate solitons in nonlinear media with oscillatory nonlocal response, which are confined within a rectangular boundary. We find that the profile of soliton exhibits a nearly Gaussian shape regardless of the boundary value, and is located in the center of the rectangle. The profile of nonlinear refractive index, which exhibits a bell-shaped or oscillatory pattern, is strongly related to the value of the boundary and the degree of nonlocality. The normalized amplitude can also influence the profile of nonlinear refractive index. The stability of the soliton depends on its location within the domain defined by the function relationship curve of the propagation constant and the boundary, the degree of nonlocality, or the normalized amplitude. We further demonstrate the robustness of soliton propagation by the application of initial transverse velocity on solitons and the incident of solitons deviating from the center of the system, resulting in a snake-shaped propagation and chaoticon-shaped pattern.
Analytical investigation of a Dirac particle dynamics in a hyperbolic magnetic field with position-dependent mass: exact solutions and ladder operators
Authors: Kisoglu H F , Ala Volkan 
Published: December 2024

Abstract
This study analytically scrutinizes a system consisting of a Dirac particle in a certain external magnetic field. In the case where the external magnetic field depends on the position in a hyperbolic form and the particle has a hyperbolic effective mass (position-dependent mass), the two-component Dirac equation is used to algebraically obtain the polynomial eigenfunctions and exact energy-eigenvalues of the system. By means of these exact solutions, the ladder operators of the system are obtained. Thus, those who handle the DKP equation for the same system may benefit from these operators.
Numerical study of the variable-order time-fractional KP-BBM equation in 2D using RBFs
Authors: Sakariya Harshad , Kumar Sushil 
Published: December 2024

Abstract
Water waves are a complex phenomenon often examined due to their unpredictable nature and potential hazards in oceans and coastal areas. This study investigates the non-linear variable-order time-fractional Kadomtsev-Petviashvili-Benjamin-Bona-Mahony (KP-BBM) equation across three different two-dimensional space domains. We employ a finite difference method for temporal variables and radial basis functions (RBFs) for spatial variables to solve the model. The computational model is validated by comparing it with exact solutions for classical integer-order models, ensuring that it aligns with the classical integer-order model as the time-fractional order approaches one. The study also aims to evaluate the impact of various parameters in the equation and the dispersion effects of different time-fractional variable orders compared to classical waves.