bluuebunny/crossref_metadata_2025_split huggingface dataset:
Investigation of UV photosensor properties of Al-doped SnO2 thin films deposited by sol-gel dip-coating method
Authors: Selma Kaour , Salima Benkara , Seddik Bouabida , Djamil Rechem , Lazhar Hadjeris 
Published: March 2023

Abstract
Transparent conducting aluminum doped tin oxide thin films were prepared by sol-gel dip coating method with different Al concentrations and characterized by X-ray diffraction (XRD), atomic force microscopy (AFM), UV–Vis spectrophotometry and photoconductivity study. The variation observed in the properties of the measured films agrees with a difference in the film's thickness, which decreases when Al concentration augments. X-ray diffraction analysis reveals that all films are polycrystalline with tetragonal structure, (110) plane being the strongest diffraction peak. The crystallite size calculated by the Debye Scherrer’s formula decreases from 11.92 to 8.54 nm when Al concentration increases from 0 to 5 wt.%. AFM images showed grains uniformly distributed in the deposited films. An average transmittance greater than 80% was measured for the films and an energy gap value of about 3.9 eV was deduced from the optical analysis. Finally, the photosensitivity properties like current–voltage characteristics, I
ON/I
OFF ratio, growth and decay time are studied and reported. Also, we have calculated the trap depth energy using the decay portion of the rise and decay curve photocurrent.
Investigating the E2 nuclear resonance effect in kaonic atoms
Authors: De Paolis L , Bazzi M , Bosnar D , Bragadireanu M , Cargnelli M , Carminati M , Clozza A , Deda G , Del Grande R , Dulski K , Fiorini C , Friščić I , Guaraldo C , Iliescu M , Iwasaki M , King P , Khreptak A , Levi Sandri P , Manti S , Marton J , Miliucci M , Moskal P , Napolitano F , Niedźwiecki S , Ohnishi H , Piscicchia K , Sada Y , Scordo A , Sgaramella F , Shi H , Silarski M , Sirghi D L , Sirghi F , Skurzok M , Wycech S , Spallone A , Toho K , Tüchler M , Vazquez Doce O , Yoshida C , Zmeskal J , Curceanu C 
Published: March 2023

Abstract
The nuclear E2 resonance effect occurs when an atomic de-excitation energy is closely matched by a nuclear excitation energy. It produces an attenuation of some of the atomic X-ray lines in the resonant isotope target. Investigating the nuclear E2 resonance effect in kaonic atoms, important information about kaon-nucleus strong interaction can be provided. The only

K
−

−

42

98

Mo

nuclear resonance effect was measured by G. L. Goldfrey, G- K. Lum and C. E. Wiegand at Lawrence Berkeley Laboratory, in 1975. The nuclear E2 resonance effect was observed in 25 hours of data taking, not enough to provide a conclusive result. In four kaonic Molybdenum isotopes (

42

94

Mo

,

42

96

Mo

,

42

98

Mo

and

42

100

Mo

), the nuclear E2 resonance effect is expected at the same transition, with similar energy values. The KAMEO (Kaonic Atoms Measuring nuclear resonance Effects Observables) experiment plans to study the E2 nuclear resonance effect in kaonic Molybdenum isotopes at the DAΦNE e+e− collider, during the SIDDHARTA-2 experiment. The experimental strategy consists of exposing four solid strip targets, each enriched with one Molybdenum isotope, to negatively charged kaons, using a germanium detector for X-ray transition measurements. A further exposure of a non-resonant

42

92

Mo

isotope solid strip target will be used as reference for standard non-resonant transitions.
Research on a Monitoring System for Vehicle-Mounted Mobile Energy Storage Shelter
Authors: Yang Sha , Chen Xihai , Zhang Zhao , Huang Shuxin , Jiang Xiaoyuan 
Published: March 2023

Abstract
This paper expounds on the current development status and existing problems of vehicle-mounted mobile energy storage shelters. In view of the existing problems, a vehicle-mounted mobile energy storage shelter is designed with multi-state perception and evaluation capabilities, multi-dimensional monitoring, and display based on B/S architecture. The realization scheme of the monitoring system proposes a new design idea for the development of the remote monitoring system of the vehicle-mounted mobile energy storage power station. The system was put into trial operation in the laboratory environment to realize the safe dispatch of the vehicle-mounted mobile energy storage shelter and to realize multi-dimensional monitoring, display, and analysis of the working process, operation data, and cabin environment, and achieve the expected design effect.
Future Grid Configuration of AC/DC Distribution Network Considering the Influence of Photovoltaic Permeability
Authors: Ni Jianfu , Liang Feng , Zhang Kun , Yu Zhuofei 
Published: March 2023

Abstract
With the implementation of China’s “carbon neutral, carbon peak” dual carbon target action plan and the construction of a new power system, access to a high proportion of new energy and microgrid has changed the function and form of the distribution network. The current capacity of the distribution network to absorb a high proportion of new energy cannot fully meet the needs of future development. Through rational planning, the carrying capacity of a distribution network for new energy can be improved, operation efficiency can be improved, and expansion investment can be delayed. Therefore, based on the analysis of the current typical network architecture of the distribution network, combined with the development trend of the AC/DC distribution network and the development trend of a high proportion of new energy penetration, this paper puts forward the future architecture and network shape of the AC/DC distribution network, focusing on the short-term, long-term and cellular AC/DC distribution network shape characteristics. It also discusses the influence of Photovoltaic (PV) permeability level on the grid configuration selection of AC/DC distribution network. Finally, it discusses the problems worthy of attention in the future planning of AC/DC distribution networks.
Analysis of renewable energy accommodation capacity of rural power system based on time series production simulation
Authors: Zheng Yongle , Li Peng , Feng Yuang , Zhu Mengshu , Yang Qinchen , Li Huixuan , Zu Wenjing , Zhang Hongkai , Ai Xiaomeng 
Published: March 2023

Abstract
The rural power system has the advantage of developing renewable energy. However, the regulating capacity for rural power system to deal with the uncertain renewable energy is mainly from the connection with the main power grid. Thus, we build the time series production simulation model to analyze the challenges for rural power system gradually running off the grid. We increase the capacity of energy storage and other generation types to reduce the load shedding when the regulation capacity provided by the main power grid is reduced. Simulation results show that the installations of different items have different effects to improve renewable energy accommodation and load shedding and those items influence each other in the promotion of the two aspects above.
Optimal Operation Strategy of Integrated Energy System Considering Photovoltaic and Solar Thermal Utilization
Authors: Jia Xiaoqiang , Chen Hongyin , Li Dezhi , Wang Songcen 
Published: March 2023

Abstract
Adding solar energy utilization equipment to an integrated energy system (IES) can improve the utilization rate of renewable energy and reduce the system cost. The optimal operation strategy of IES with photovoltaic and solar thermal utilization (PV-SH-IES) is investigated. The efficiency variation of CHP is considered, and the optimal results are compared and analyzed. The results show that: compared with IES, the operation cost of the PV-SH-IES is lower; it first falls and then rises with the increment of the photovoltaic area ratio, and the photovoltaic area ratio has an optimal value. The impact of photovoltaic equipment on the system cost is greater than that of solar thermal equipment.
Thermodynamics Investigation of S-CO2 Power System Combined with Composition Adjustment ORC
Authors: Huang Renlong , Zhong Tianming , Wang Yage , Chen Chaoda , Wang Jiaojiao , Chen Linlin 
Published: March 2023

Abstract
Supercritical carbon dioxide power cycle (S-CO2) is a promising technology in comparison to the conventional Rankine cycle for power conversion. However, the waste heat from the turbine outlet is not well utilized. Zeotropic Organic Rankine cycle (ORC) recovering waste heat is an advanced heat-to-power conversion method. Novel composition adjustment zeotropic ORC has advantages over ORC using fixed mixture components in the power generation performance. The present study proposed a novel S-CO2 power cycle combined with composition adjustment zeotropic ORC. Thermodynamic performance investigation and a mathematical model of the novel cycle are developed. Finally, an example is given to verify the method. The results show that this method can improve the thermal performance. Novel system thermal efficiency can be improved by 1.83% compared with the basic S-CO2.
Time-frequency Fusion Method via Convolutional Neural Network for Partial Discharge Classification
Authors: Zhang Yi , Liu Fuzhou , Guan Jie , Zhu Yongli 
Published: March 2023

Abstract
To improve the accuracy of partial discharge (PD) pattern recognition by jointing time-domain (TD) and frequency-domain (FD) information, a time-frequency (TF) fusion method via convolution neural network (CNN) is proposed in this paper. Firstly, PD signals are represented by PD waveform images and transformed into the envelope of variational mode decomposition-based Hilbert marginal spectrum (VHMS). Secondly, a fusion network, FuNet involving a 2-dimensional CNN (2D-CNN), a 1D-CNN, and a multilayer perceptron (MLP), is established to join TF information. In FuNet, the 2D-CNN inputted by PD waveform images and 1D-CNN adopted the envelope of VHMS of PD signal as its input are all improved by drawing on the complementary strengths of different convolution layers’ features. Then the MLP will fuse the extracted TD and FD features and classify the PD defects.
Optimal Allocation Scheme of “Source-load-storage” Distributed Resources in Distribution Network for Supporting Black Start of Key Nodes in the Main Network
Authors: Cui Yong , Tu Qi , Wang Weihong , Gu Jun , Zhang Hao , Yang Xiu , Liu jianhang 
Published: March 2023

Abstract
To fully exploit the potential and value of “source-load-storage” multi-type distributed resources to support blackouts at key nodes of the main network, we propose an optimization model for the optimal allocation of distributed resources. First, a black-start power configuration model with optimal operational economy and the strongest black-start capability is established as the optimization objectives. Subsequently, a simulation analysis is conducted with the IEEE33 node system and the regional grid of the Shanghai Fengxian combustion turbine plant as examples. The results indicate that the proposed model can realize the solution of the optimal black-start resource allocation scheme, which is applicable to black-start planning under multiple types of outage scenarios. Moreover, it provides a basis for using distributed resources to support the black start of key nodes in the main network.
Design of wind power equipment monitoring system based on Huawei AI chip
Authors: Xiong Ping , Luo Heng , Tan Daojun , Kang Yiqun , Liu Dan , Hu Pan 
Published: March 2023

Abstract
With the gradual development of wind power, developing a wind power equipment monitoring system for wind farms is of great significance for ensuring the normal operation of wind farms and subsequent data analysis and processing. This paper develops a wind farm equipment monitoring system based on Huawei AI chips. The frame structure, R&D process, system construction process, and corresponding electronic circuits of the power vision edge computing system design based on Huawei AI chips are introduced in detail. The system can realize the intelligent processing of the data of the main electrical equipment of the wind farm and has functions such as the perception and acquisition of wind power resource data, the monitoring of the operating status of wind power equipment, and the advanced functions and intelligent processing of data.
Single-Location and Multi-Locations Scenarios Generation for Wind Power Based On WGAN-GP
Authors: Zhu Jianan , Ai Qian , Chen Yun , Wang Jiayu 
Published: March 2023

Abstract
To address the randomness of renewable energy, scenario generation can simulate the random process of renewable energy. Still, most of the previous scenario generation algorithms are based on assumed probability distribution models, which are difficult to grasp the dynamic characteristics of renewable energy accurately. Based on an improved generative adversarial network algorithm, this paper generates single-site and multi-site scenarios for wind power generation data. The temporal and spatial correlations of the generated data were judged based on the maximum mean difference and the Pearson coefficient. Finally, multiple sets of wind power generation data are used to verify that the proposed method can reflect not only the volatility of renewable energy but also ensure the temporal and spatial correlation between the data.
Research on mechanical state identification method of multi-type disconnectors based on difference curve and SVM
Authors: Yang Tao , Wang Bing , Xu Ji-Yong , Zhu Qi-Long , Niu Bo-Rui , Liu Yu-Fei , He Song 
Published: March 2023

Abstract
There are various types of high-voltage isolating switches and frequent mechanical defects, but it is difficult to meet engineering needs by detecting the mechanical state of a single isolating switch. Currently, most of the research only takes the GW4 disconnector as the research object, and the practicability of related diagnostic methods remains to be verified. In this paper, the difference curve is obtained as the sample to be identified by comparing the travel curve of the isolating switch to be diagnosed and its historical standard curve. With further elimination of the travel curve difference caused by the isolating switch model, extraction of the relevant time domain feature quantity, and combination of the support vector, the algorithm uses half of the data of each model in each state as the training sample and the other half of the data as the test sample, and the recognition accuracy rate is 100%. The GW4 and GW23 data are used as the training samples, the GW7 and GW36 data are used as the test samples, and the recognition accuracy is accurate. The rate was 87.5%. It is verified that the method of segmental extraction of difference curve features, combined with the support vector machine algorithm, can realize the intelligent identification of the mechanical state of different types of disconnectors, in which the degree of fault directly affects the spatial distribution of the samples and has a great impact on the accuracy of the identification results.
Effect of Overhead Line Broken Strand Fault on Axial Temperature Decay Distance Under Natural Convection
Authors: Liu Zhiyong , Liao Yi , Li Yanfei , Zhou Jingjun , Chen Qiulin , Jiang Xingliang 
Published: March 2023

Abstract
The broken strand fault of overhead transmission lines will cause a local temperature rise. The temperature extreme value point will decay to the normal area, affecting the operation of adjacent lines. In order to study the relationship between the temperature decay distance, the number of broken strands, and the load current of overhead lines under natural convection, a type LGJ-240/30 line is selected as the test object. Destructive thermal cycling tests are performed in the laboratory. The temperature distribution of the outer surface of the line at the fault area is obtained. Based on the theory of heat transfer, the definition of axial temperature decay distance is proposed, and the relationship between the defined distance and each factor is analyzed. The results indicate that axial temperature decay distance is only negatively related to the load current but not to the number of broken strands. This conclusion provides a theoretical reference for fault identification and maintenance of overhead lines.
Parameter Identification for DC-biased Vernier Reluctance Motor Considering Harmonic Current and Inverter Nonlinearity
Authors: Yang Songbai , Kong Wubin , Li Zimin , Liu Zirui 
Published: March 2023

Abstract
This paper proposes an online parameter identification method for DC-biased vernier reluctance motor (DC-biased VRM), where the nonlinearity of inverter is compensated and harmonic current is suppressed. The identification results are obtained by least mean square (LMS) strategy. No additional signal needs to be injected into the identification process. The method proposed is verified by simulation analysis and experiments.
Properties on Generalized Perron Complements of Inverse N
0-matrices
Authors: Zhong Qin , Zhao Chunyan , Mou Gufang , Li Ling 
Published: March 2023

Abstract
For an irreducible and nonpositive matrix, we present the concepts of the Perron complement matrix and the generalized Perron complement matrix. An inequality that relates the generalized Perron complement matrices of inverse N
0-matrices is derived. In addition, we obtain the quotient formula of inverse N
0-matrices based on the quotient formula for the Schur complements.
Consistency of Two Plastic Strengthening Parameters from EH36 Steel
Authors: Liu Xianru , Li Jianguang , Ren Yi , Zhao Kuangjie 
Published: March 2023

Abstract
In order to study the consistency of the two plastic hardening parameters applied to the constitutive model, EH36 marine steel was selected as the experimental material in this paper, and the stress-strain relationship curve of EH36 steel was obtained through uniaxial tensile experiments at room temperature, and elastic-power hardening was used. The model fits the stress-strain curve of EH36 steel and obtains the fitted parameters. Then we select a certain plastic strain arbitrarily, take the effective plastic strain and plastic work as the hardening parameters, respectively, and use the kinematic hardening model to calculate the one-dimensional stress-strain relationship of the reverse loading of the two hardening parameters when the pre-strain is applied. The consistency of the two plastic hardening parameters is demonstrated according to the calculated relationship.
Calculation and analysis of fatigue strength of truss-floating box aquaculture vessels
Authors: Zhang Yuchen , Zhang Zhaode 
Published: March 2023

Abstract
In this paper, DNVGL’s SESAM software system is used to directly calculate the fatigue strength of typical structural nodes of truss-floating box aquaculture vessels based on fatigue spectrum analysis. According to the three-dimensional potential flow theory, the hydrodynamic analysis of typical working conditions of the ship type was carried out, and the short-term distribution of stress response transfer function, stress response spectrum and stress range under culture conditions was obtained. The load is applied to the ship-wide finite element model to obtain the fatigue strength stress values of typical thermal stress points, and then the fatigue life is estimated by spectral analysis. The research results can provide useful reference and reference for the design and verification stage of the ship type.
A Numerical Study of the Poisson Equation with Arbitrary Domains Based on the Extrapolation Technique
Authors: Zhang Hui , Yu Pan , Shi Xueying , Li Lin 
Published: March 2023

Abstract
The Poisson equation with arbitrary domains is considered in this paper using an extrapolation technique. The two-dimensional problem is primarily examined, and the extrapolation formulas O2 and O4 are thoroughly deduced. Not only the effect of different extrapolations on boundary point errors is analyzed, but a strategy for selecting extrapolation points is also provided. Finally, numerical accuracy results are presented.
Application of Modular Maximum of Wavelet Transform in the Paint-coat Damage Detection
Authors: Sun Faliang , Guo Xiaohuan , Luo Xiangyan , Yong Xiaoju 
Published: March 2023

Abstract
The reflected waves of each interface might obliterate each other and be indistinguishable in the conventional ultrasonic testing of the multi-interface heterogenous thin-layer structure. Aiming at this problem, the method of dealing with signals by the modular maximum of wavelet transform is put forward and the detection testing for the embedded defects of test pieces is implemented. The test results show that this method can judge whether there is a defect by identifying the time point of

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.
Characterization of hypersaline zones in salt marshes
Authors: Shen Chengji , Fan Yu , Zou Yongqing , Lu Chunhui , Kong Jun , Liu Yue , Li Ling , Zhang Chenming 
Published: March 2023

Abstract
Salt pans are commonly found in coastal marshes and play a vital role in the marsh plant zonation. However, the correlation between these hypersaline zones and the marsh hydrological conditions have barely been characterized. This study numerically investigates the effects of evaporation rate, tidal amplitude, and marsh platform slope on salt pan formation, and found that salt pans can hardly grow in the intertidal zone due to regular tidal flushing, while tend to form in the lower supratidal zone, where evaporation is sustained. The accumulated salts create an upward salinity gradient that trigger downward unstable flow. The decreases of potential evaporation rate, tidal amplitude and/or marsh platform slope strengthen the hydraulic connection between the marsh surface and the underlying watertable, the key to sustaining evaporation, and therefore result in thickener and wider salt pans. These findings offer a deeper insight into the marsh eco-hydrology and guidance for their degradation prevention.
Methodology of investigation the dynamics of longitudinally moving systems under the action of impulse perturbations
Authors: Andrukhiv A , Huzyk N , Sokil B , Sokil M 
Published: March 2023

Abstract
A methodology for researching oscillations of one-dimensional elastic systems under the influence of impulse disturbances has been developed. The mathematical model of the considered process is boundary value problems for hyperbolic equations of the second order with an irregular right-hand side and a mixed derivative with respect to linear and time variables. As for the irregularity of the right part, it takes into account the impulse effect on the research object and has the most important theoretical and practical periodic character; and with the help of the mixed derivative in the Euler variables, the longitudinal movement of the studied systems is partially taken into account. Using the basic ideas of asymptotic integration of equations with partial derivatives, the basic propositions of the wave theory of motion adapted to the considered class of problems, the principle of single-frequency oscillations in nonlinear systems with concentrated masses and distributed parameters, the method of regularization of impulse disturbances, equations in the standard form were obtained that describe the determining parameters of nonlinear oscillations for resonant and non-resonant cases. It is shown: that the longitudinal movement of the systems has a significant effect on the natural frequency of oscillations, and therefore on the period of impulse disturbances during which the resonance process takes place; the amplitude of the passage of resonance depends significantly on the speed of movement. The results obtained in the work can serve as a basis for choosing the operating modes of some classes of systems characterized by longitudinal movement in order to avoid resonant processes in them.