bluuebunny/crossref_metadata_2025_split huggingface dataset:
A non-local total generalized variation regularization reconstruction method for sparse-view x-ray CT
Authors: Min Jiang , Tao Hongwei , Liu Xinglong , Cheng Kai 
Published: December 2023

Abstract
Sparse-view x-ray computed tomography (CT) reconstruction, employing total generalized variation (TGV), effectively mitigates the stepwise artifacts associated with total variation (TV) regularization while preserving structural features within transitional regions of the reconstructed image. Despite TGV surpassing TV in reconstruction quality, it neglects the non-local self-similarity prior, recognized for its efficacy in restoring details during CT reconstruction. This study introduces a non-local TGV (NLTGV) to address the limitation of TGV regularization method. Specifically, we propose an NLTGV-regularized method for sparse-view CT reconstruction, utilizing non-local high-order derivative information to maintain image features and non-local self-similarity for detail recovery. Owing to the non-differentiability of the NLTGV regularized, we employ an alternating direction method of multipliers optimization method, facilitating an efficient solution by decomposing the reconstruction model into sub-problems. The proposed method undergoes evaluation using both simulated and real-world projection data. Simulation and experimental results demonstrate the efficacy of the proposed approach in enhancing the quality of reconstructed images compared to other competitive variational reconstruction methods. In conclusion, the simultaneous incorporation of sparsity priors of high-order TV and non-local similarity proves advantageous for structural detail recovery in sparse-view CT reconstruction.
Study on the surface microtexture microscopic friction and wear characteristics of 304 stainless steel
Authors: Sun Jingting , Yuan Zewei , Tang Meiling , Zheng Peng , He Yan , Wang Ying 
Published: December 2023

Abstract
In order to reveal the friction behaviour and wear mechanism of nanoscale textures on the friction pair of 304 stainless steel, molecular dynamics simulations were firstly used to investigate the effects of smooth and textured surfaces on the tribological properties of the stainless steel substrate, and then focus on the effects of sliding velocity and depth on the surface morphology, mechanical force, friction coefficient, anisotropy, stress, temperature and dislocations of the textured substrate. The results show that the temperature, friction, stress, and dislocation line length of the textured surface are relatively smaller than those of the non-textured surface, and the textured surface has a smaller and more stable friction factor, which ultimately leads to a reduction of the friction factor by about 0.090. When the sliding distance is 120 Å, the number of defective atoms in the textured substrate is reduced by 12.9%, and its anisotropy is more stable. At the same indentation depth, the average friction coefficient, temperature and anisotropy increase significantly with increasing sliding velocity. The average friction coefficient is maximum when the sliding velocity is increased to 400 m s−1, with a value of about 0.833. The sliding friction, friction coefficient, dislocation line length, number of defect atoms, number of stacked atoms, stress, temperature and anisotropy factor increase with increasing depth of abrasive indentation. The average friction coefficient is minimum at a sliding depth of 4 Å, with a value of about 0.556, and the number of defective atoms is reduced by 83.2%. This indicates that textured surface treatment of 304 stainless steel and selection of appropriate sliding parameters can effectively reduce the wear during the friction process and improve the wear resistance of the substrate.
A denoising method based on deep learning for proton radiograph using energy resolved dose function
Authors: Sheng Cong , Ding Yu , Qi Yaping , Hu Man , Zhang Jianguang , Cui Xiangli , Zhang Yingying , Huo Wanli 
Published: December 2023

Abstract

Objective. Proton radiograph has been broadly applied in proton radiotherapy which is affected by scattered protons which result in the lower spatial resolution of proton radiographs than that of x-ray images. Traditional image denoising method may lead to the change of water equivalent path length (WEPL) resulting in the lower WEPL measurement accuracy. In this study, we proposed a new denoising method of proton radiographs based on energy resolved dose function curves. Approach. Firstly, the corresponding relationship between the distortion of WEPL characteristic curve, and energy and proportion of scattered protons was established. Then, to improve the accuracy of proton radiographs, deep learning technique was used to remove scattered protons and correct deviated WEPL values. Experiments on a calibration phantom to prove the effectiveness and feasibility of this method were performed. In addition, an anthropomorphic head phantom was selected to demonstrate the clinical relevance of this technology and the denoising effect was analyzed. Main results. The curves of WEPL profiles of proton radiographs became smoother and deviated WEPL values were corrected. For the calibration phantom proton radiograph, the average absolute error of WEPL values decreased from 2.23 to 1.72, the mean percentage difference of all materials of relative stopping power decreased from 1.24 to 0.39, and the average relative WEPL corrected due to the denoising process was 1.06%. In addition, WEPL values correcting were also observed on the proton radiograph for anthropomorphic head phantom due to this denoising process. Significance. The experiments showed that this new method was effective for proton radiograph denoising and had greater advantages than end-to-end image denoising methods, laying the foundation for the implementation of precise proton radiotherapy.
First-principles calculation of the structural, electronic and mechanical properties of β′ phase in Mg-RE binary systems
Authors: Fu Xuanran , Song Xiaolin , Zeng Ying , Peng Jinfang 
Published: December 2023

Abstract
Rare-earth magnesium alloys (Mg-RE) are gaining growing prominence across multiple industries due to their superior mechanical properties and enhanced formability compared to conventional magnesium alloys. β′ phase of Mg-RE alloys exhibits remarkable behavior in strengthening and enhancing corrosion resistance. However, the mechanical behaviors of some β′ phases themselves remain unexplored. Therefore, our objective is to identify the mechanical and thermomechanical properties of β′ phases. Herein, a theoretical study to investigate the structural, electronic, elastic and anisotropic properties of β′–Mg7RE phase from first-principle calculations is described. Besides, the melting temperature and Debye temperature of these intermetallic compounds are also predicted. The calculated results confirm the thermodynamic and mechanical stability of all β′–Mg7RE phases. Additionally, the calculated value of bulk modulus for all β′–Mg7RE phase exhibit similarity, with an approximate value of 38 GPa. The degree of anisotropy in the bulk modulus of the β′–Mg7RE phase is relatively lower compared to the shear and Young’s moduli. Among the β′ phase, β′–Mg7Lu exhibits the most pronounced anisotropy. Furthermore, the highest degree of Young’s and shear moduli anisotropy for all β′ phases are observed in the (001) plane. The value of the electron localization function between Mg and RE atoms ranges from 0.48 to 0.56. In more detail, the density of states (DOS) reveals that hybridization arises from strong interaction between the Mg–p states and RE–d states below the Fermi level. Indeed, the results will offer valuable insights into the influential factors on the mechanical properties of the β′ phase, contributing to a more comprehensive understanding of its performance and potential applications.
Influence of Tsallis q-entropy on occurrence scattering time in a nonextensive plasma
Authors: Lee Myoung-Jae , Ashikawa Naoko , Jung Young-Dae 
Published: December 2023

Abstract
The essence of Tsallis q-entropy on the occurrence scattering time (OST) process is derived for a nonextensive plasma. The semiclassical eikonal dissection and the nonextensive q-distribution function are used to derive the OST with variables of projectile energy, scattering angle, electron entropic index, ion entropic index, and impact parameter. Our calculations find that the OST advance in a nonextensive plasma decreases with the entropic index. We have seen that the Tsallis q-entropy on the OST advance grows up fast as the scattering angle increases. We also obtained that the nature of Tsallis q-entropy on the OST advance diminishes in forward scattering direction in a nonextensive plasma. Moreover, the authority of the electron q-entropy is found to be greater than the that of ion q-entropy in the cold electron plasma, i.e., when the electron temperature is lower than the ion temperature. However, if the ion temperature is lower than the electron temperature, the authority of the ion q-entropy is more momentous than that of the electron q-entropy.
An equation of state based on the scaling properties of vibrational spectra at high pressure
Authors: Roy Umesh C 
Published: December 2023

Abstract
Inter-atomic forces control vibrational properties and elastic moduli of a solid material. Based on first-principle calculations, it has been reported that, for elemental solids, the Debye frequency scales linearly with density to high accuracy. Combining this with other scaling properties of vibrational frequencies at high pressure, a new equation of state is presented. The proposed equation of state is tested against available experimental data for various kinds of solids at high pressure and room temperature. The quality of description of the compressional behavior of solids by our proposed equation of state is, for many cases, comparable to or better than that with the Vinet EOS.
Finite dimensional irreducible representations of Lie superalgebra D (2, 1; α)
Authors: Chen 陈 Xi 曦 , Yang 杨 Wen-Li 文力 , Ding 丁 Xiang-Mao 祥茂 , Zhang 张 Yao-Zhong 耀中 
Published: December 2023

Abstract
This paper focuses on the finite dimensional irreducible representations of Lie superalgebra D(2, 1; α). We explicitly construct the finite dimensional representations of the superalgebra D(2, 1; α) by using the shift operator and differential operator representations. Unlike ordinary Lie algebra representation, there are typical and atypical representations for most superalgebras. Therefore, its typical and atypical representation conditions are also given. Our results are expected to be useful for the construction of primary fields of the corresponding current superalgebra of D(2, 1; α).
Research on the Relationship between Vibration Noise and Magnetic Saturation of Magnetic Saturated Controllable Reactor Based on COMSOL
Authors: Zhang Yuzhu , Tian Mingxing 
Published: December 2023

Abstract
This article is based on a 2.2 kVar small magnetically saturated controllable reactor (MSCR) prototype and builds a three-dimensional three-field coupling model of its electromagnetic structure acoustics in the finite element simulation software COMSOL. The time-domain sound field distribution of MSCR under electromagnetic force and magnetostrictive effect is obtained through simulation, and DC bias is linearly added. The trend of changes in magnetic saturation and MSCR maximum sound pressure level are obtained, and finally, the relationship curve between MSCR maximum sound pressure level and its magnetic saturation is analyzed, which is similar to the magnetization curve. Taking the half-load working state as the knee point, this study provides a research idea for the design and monitoring of reactors based on the relationship between MSCR acoustics and the working state.
Transmission Line Fault Diagnosis Method Based on SDA-ISSA-XGBoost under Meteorological Factors
Authors: Zhang Kun 
Published: December 2023

Abstract
Transmission lines are directly exposed to the natural environment and are prone to failure due to meteorological factors. A novel approach for diagnosing transmission line faults under various meteorological conditions has been introduced. This method, known as SDA-ISSA-XGBoost, combines the power of Stacked Denoising Autoencoder (SDA), an improved Sparrow Search Algorithm (ISSA) enhanced with chaotic mapping sequences, adaptive weights, improved iterative local search, and a random differential mutation strategy, and eXtreme Gradient Boosting (XGBoost). The process begins with SDA, which extracts essential features from the initial meteorological data. Subsequently, ISSA is applied to optimize the parameters of the XGBoost model. This results in the ISSA-XGBoost fault diagnosis model. The performance of this model is compared to PSO-XGBoost and SSA-XGBoost. The experimental findings demonstrate that the ISSA-XGBoost model achieves an impressive fault diagnosis accuracy of 94.39%, surpassing both PSO-XGBoost and SSA-XGBoost by 6.54% and 3.74%, respectively.
Electromagnetic Wind-induced Vibration Energy Harvester with a Resonant Cavity
Authors: Xiong Lei , Gao Shiqiao , Jin Lei , Sun Yaoqiang 
Published: December 2023

Abstract
Wind energy, as the most widely distributed form of renewable energy, holds great significance in addressing the energy supply issue for micro-power electronic equipment. Therefore, this paper proposes an electromagnetic wind-induced vibration energy harvester with a resonant cavity (EWVEH). When the wind blows through the resonant cavity, the pressure inside the cavity increases, causing a change in the pressure distribution. The pressure on the lower surface of the elastic beam exceeds the pressure on the upper surface, leading to a pressure difference. When the pressure difference exceeds the damping force of the elastic beam, it will cause the beam to move, and then the vibration energy will be converted into electrical energy through electromagnetic conversion. The installation angle of the elastic beam and the size and position of the resonant cavity outlet will affect the fluid distribution in the resonant cavity and the vibration characteristics of the elastic beam. This, in turn, will change the output characteristics of the EWVEH. The simulation analysis and experimental research demonstrate that a smaller installation angle for the cantilever and a smaller outlet for the resonant cavity is advantageous for the EWVEH to obtain higher output power. Furthermore, the position of the air outlet also impacts the efficiency of the EWVEH. At a wind velocity of 14 m/s, the load voltage and power of the EWVEH are 39 mV and 101.4 μW, respectively.
Transformer-customer Relationship and Phase Identification Method of Low-voltage Distribution Networks Based on Critical Time Segments
Authors: Liu Jianfeng , Zang Wei , Lu Yan , Zhang Yu , Cong Rili 
Published: December 2023

Abstract
Accurate topology identification of low-voltage distribution networks is of great significance for intelligent and refined management of power grids. Currently, manual inspection is costly and inefficient. This paper proposes an automatic method for identifying the transformer-customer relationships and phase in low-voltage distribution networks based on voltage similarity and grey correlation degree of critical time segments. Firstly, the principle of identifying transformer-customer relationships based on voltage time series similarity is presented. Secondly, the criteria for judging similarity by using grey correlation are provided, as well as the method for processing long time series through critical time segments. Finally, the effectiveness and accuracy of the proposed method are verified through a practical case study in a certain area.
Failure Analysis of Electronic Current Transformer Air Chamber Basin Insulator Cracking in a 330 kV Substation
Authors: Zhang Zhaoyu , Zhou Yanke , Jiang Fei , Zhao Chaoyou , Zhou Yunfei 
Published: December 2023

Abstract
In operation, the combined electrical appliances in the substation leak, and the insulation basin breaks when the old insulation basin is replaced. By using the methods of macroscopic inspection, penetration detection, material analysis, and scanning electron microscopy, the failure analysis of the broken basin insulator of the combined electric apparatus is complete, and the process of crack generation and expansion is analyzed. The analysis results show that the reason for the fracture of the basin-type insulator is uneven force during fastening or disassembling, subjected to shear and bending stress. The crack source starts at the stress concentration part, that is, the root of the groove of the inner ring seal ring, and continues to expand, resulting in the final fracture of the basin-type insulator. The next step is to strengthen the daily control of the transportation process and installation process of the basin insulator.
Analysis of the Causes of Glass Insulator Self Explosion in ± 800 kV Transmission Lines
Authors: Zhang Suhui , Xie Jinpeng , Zhao Tongkun , Jiang Fei , Lv Yanting , Wu Jinhua 
Published: December 2023

Abstract
To study the self-explosion problem of a ± 800 kV glass insulator and conduct experimental detection on the self-explosion glass insulator, the reasons for the self-explosion were analyzed. Through macroscopic inspection, eccentricity calculation, microscopic morphology inspection, and other methods, it can be concluded that there are micro-cracks and stress concentration phenomena in the internal pores of the cement adhesive in the glass insulator, and there is an eccentricity phenomenon in the cement adhesive, glass, and steel cap in the glass insulator. Through simulation analysis under the coupling field of stress and temperature, it can be concluded that the overall stress concentration exists at the junction of the inner cement and steel foot adhesive. During operation, various stress concentrations cause glass insulators to self-explode. Finally, suggestions for improving the manufacturing process of insulators in operation in response to such faults are proposed to prevent similar faults from happening again and ensure the safe operation of the power grid.
Research on distribution network operation status evaluation technology based on new sensing measurement method
Authors: Dang Junpeng , Jiang Bo , Liu Chao , Li Bo , Wan Hongqiang , Pan Zaijin 
Published: December 2023

Abstract
The access to distributed power supply and large-scale load increases the complexity of the distribution network, resulting in the decline of traditional monitoring accuracy and the difficulty of distribution network operation status assessment. This paper proposes a distribution network operation status assessment technology based on a new sensing measurement method to provide a foundation for the stable operation of the distribution network. The operating state evaluation system is constructed by the operating standard of the distribution network, including 6 types of upper indicators and 14 bottom indicators. The analytic hierarchy process (AHP) was used to calculate the weight factor of the evaluation index. Fuzzy mathematics is used to evaluate the operating state of the distribution network, a fuzzy matrix is established, and the evaluation results are calculated according to the principle of maximum membership degree. Finally, the validity and rationality of the proposed method are verified by the sensing measurement data.
Selection of wavelet generating function in voltage interruption detection
Authors: Gong Jing , Zhong Siyu 
Published: December 2023

Abstract
When using wavelet for voltage interruption detection, improper selection can lead to detection failure due to the differences in wavelet characteristics and the diversity of the generating function. Based on the analysis of wavelet characteristics, the modulus maximum principle is used to compare the detail coefficients after wavelet decomposition, and a method that should be followed for selecting the generating function is proposed. Here are four important points to consider: First, choose orthogonal wavelets that can decrease redundancy. Second, symmetry does not have a major effect. Third, higher-order vanishing moments and longer support lengths result in better singularity detection. Finally, the order of vanishing moments is more important than the support length. We establish a disturbance signal model with interruption occurring at the time of voltage zero crossing and select six types of wavelets: db1, db3, db6, db8, coif2, and coif3 for four-scale wavelet decomposition. The experimental results demonstrate the accuracy of the proposed method in this paper.
A Method for Source Location of Harmonic Instability in Renewable Power Plants Considering the Feeder Distributed Parameters
Authors: Chen Chao , Gong Liwu , Tang Xin , Zhang Wei , Lu Yuguo 
Published: December 2023

Abstract
The current analysis of harmonic instability in existing renewable energy substations mostly relies on the lumped parameter model of the power system, which fails to adequately describe the port characteristics of the system in a wide frequency range. However, considering the distributed parameter model of the transmission lines, the frequency domain network matrix becomes a transcendental equation, making it difficult to directly solve for the system’s inherent modes and leading to challenges in harmonic instability analysis and the accurate identification of unstable sources. Therefore, this paper proposes a new modal analysis method of harmonic stability in the frequency domain based on Pade approximation and line distribution parameters. The proposed method can not only accurately assess the stability of the system, but also locate the dominant instability source of the system.
Electric Field in Metal Stress Cone of Cable Quick Repair/Test Joint
Authors: Sun Haofei , Zhang Juning , Zhao Xuefeng , Wang Hanfeng , Wang Chong , Pu Lu , Ju Zeli , Duan Wei 
Published: December 2023

Abstract
In order to expedite power restoration after cable failures, a plug-in GIS (Gas Insulated Switchgear) intermediate joint is designed for cable quick repair/test. During the electric field simulation of this intermediate joint, significant electric field distortions were observed at the metal stress cones and the cable’s semi-conductive layer discontinuity, indicating potential weak points in insulation. To mitigate the electric field distortions within the joint, investigations were conducted on the impact of factors such as the gap width between the metal stress cones and the XLPE cable, the relative position of the semi-conductive layer discontinuity, the stress cone, and the winding length of high dielectric constant tape. The design and installation scheme of the metal stress cone wasa obtained through simulation, which provides a basis for the design and manufacture of the GIS quick repair/test joint.
Lightweight model of remote sensing ship classification based on YOLOv7-tiny improvement
Authors: Cheng Jinwei , Yuan Jie , Hu Xiaoning , Xie Baorong , Zhang Man 
Published: December 2023

Abstract
A lightweight ship classification and detection approach based on modified YOLOv7-tiny is presented to address the issue that the classification and detection of ships in optical remote sensing images is prone to mistakes and missed detection due to the complicated background in the offshore. Due to the uneven distribution of data set samples, this method applies a lightweight feature extraction module E_DSC to the backbone network to reduce the number of parameters and calculations of the feature extraction network and improve network reliability. On the other hand, the MPDIoU loss function is introduced to improve the network prediction box coverage and improve the network prediction accuracy. On a dataset of remote sensing images of ships, this strategy has been tested. The findings reveal that it improves the network’s average accuracy of ship recognition and classification by 3.3%. The amount of parameters and calculation is also better than YOLOv7-tiny with a 3% reduction in parameters and a 22% reduction in the calculation.