bluuebunny/crossref_metadata_2025_split huggingface dataset:
A scientometric review of research in Translation Studies in the twenty-first century
Authors: Zhu Xuelian , Aryadoust Vahid 
Published: October 2022

AbstractThe field of Translation Studies has expanded rapidly in the twenty-first century, largely due to the growing demand for translation and interpreting professionals. This study provides a scientometric review of Translation Studies to identify its developmental trends and patterns over the past two decades. Document co-citation analysis was conducted on 6007 journal articles published in the fifteen translation studies journals indexed in the Web of Science between January 2001 and December 2020. Twelve document co-citation analysis networks were generated and compared. Quantitative analyses, including temporal and structural metrics, confirmed the robustness and reliability of a network comprising ten discrete research clusters. A timeline view was generated to visualize how these clusters have evolved over time. Ten clusters were identified as major research subdomains in Translation Studies, namely translation competence, translation in conflict zones, translator training, collaborative translation, translation and society, language policy, post-editing and revision, media translation, the translation profession, and web localization. In addition, burst detection analysis identified the twenty most influential publications in this sample. Based on these findings, we discuss how the observed trends in each cluster contribute to further developments in Translation Studies. The implications for teaching, research, and theory are discussed and some methodological guidelines are proposed for future research.
Gravitational Faraday Rotation of gravitational waves by a Kerr black hole
Authors: Li Zhao , Qiao Jin , Zhao Wen , Er Xinzhong 
Published: October 2022

Abstract
Gravitational Faraday Rotation (GFR) is a frame-dragging effect induced by rotating massive objects, which is one of the important, yet studied characteristics of lensed gravitational waves (GWs). In this work, we calculate the GFR angle χ
g
of GWs in the weak deflection limit, assuming it is lensed by a Kerr black hole (BH). We find that the GFR effect changes the initial polarization state of the lensed GW. Compared with the Einstein deflection angle, the dominant term of the rotation angle χ
g
is a second-order correction to the polarization angle, which depends on the light-of-sight component of BH angular momentum. Such a rotation is tiny and degenerates with the initial polarization angle. In some critical cases, the GFR angle is close to the detection capability of the third-generation GW detector network, although the degeneracy has to be broken.
Advancing globular cluster constraints on the axion-photon coupling
Authors: Dolan Matthew J. , Hiskens Frederick J. , Volkas Raymond R. 
Published: October 2022

AbstractWe improve the current upper bound on the axion-photon coupling derived from stellar evolution using theR2parameter, the ratio of stellar populations on the Asymptotic Giant Branch to Horizontal Branch in Globular Clusters. We compare this with data from simulations using the stellar evolution codeMESAwhich include the effects of axion production. Particular attention is given to quantifying in detail the effects of uncertainties on theRandR2parameters due to the modelling of convective core boundaries. Using a semiconvective mixing scheme we constrain the axion-photon coupling to begaγγ< 0.47 × 10-10 GeV-1. This rules out new regions of QCD axion and axion-like particle parameter space. Complementary evidence from asteroseismology suggests that this could improve to as much asgaγγ< 0.34 × 10-10 GeV-1as the uncertainties surrounding mixing across convective boundaries are better understood.
Identification of centrifugal pump flow based on feature recognition
Authors: You YiLin , Chen Xiaonan , Bai Xi , Liang Caihua 
Published: October 2022

Abstract
The flow rate of water pumps is a crucial parameter for diagnosis, optimisation and renovation of transmission and distribution systems. To solve the problems of limited measurement conditions, inadequate consideration of operational wear and tear, and large deviations in the fitted flow curves when obtaining flow rates by direct measurement or characteristic curve fitting, this paper proposes a method for identification of centrifugal pump flow rates based on feature recognition. The method combines the unknown structural parameters of a centrifugal pump with three simple and easy-to-measure operating data: pump head, frequency and power, to obtain the pump characteristics and construct a model for identification of centrifugal pump flow. At the same time, the influence of measurement errors and wear and tear on the model’s accuracy is investigated. The results show that the maximum relative error of the pump operating flow obtained by the method is 2.27%, a slight deviation from the actual measured flow. The maximum relative error of flow rate is 2.7% when a maximum measurement error of ± 0.1%, 0.5% and ± (3%+5) for the required operational data, respectively, indicating that the method has a high resistance to interference. The method considers the different degrees of operating wear and tear of the pumps, saves on equipment input and enables fast and accurate identification of the flow rate of the pumps under different operating conditions.
Method of Extracting Shape Error Based on Wavelet Filtering
Authors: Ma Yuchuan , Gao Xuanyi , Xiong Jian , Zhang Zhijing 
Published: October 2022

Abstract
According to the experience in actual engineering, surface topography usually consists of three parts: shape error, waviness and roughness. The shape error message is usually more important and concerned in analysing and evaluating the performance of the work pieces in assembling. This paper proposes a method of shape error extraction based on wavelet filtering: first, a set of simulated data is generated by the experience in engineering, second, the process of wavelet filtering and shape error extraction is designed, then, the shape error from the simulated data is extracted according to the designed process and compared the results with the results obtained by traditional methods, finally further verification is carried out on a set of real measured data. For both of the simulated data or and the real measured data, the shape error extracted very well. The feasibility of the method is confirmed.
Intelligent Electrical Engineering Automation on Account of Particle Swarm Optimization (PSO) Algorithm
Authors: Li Zhiwei 
Published: October 2022

Abstract
Electrical engineering is closely related to people’s life. Many projects have proved that electrical engineering using PSO algorithm provides more convenient applications for people’s production and life, greatly improves people’s living standards, and makes people’s life and work more relaxed and valid. In many production fields, such as subway engineering, if advanced electrical engineering automation is adopted, the subway engineering can be carried out validly from start to finish, and the workload of workers can be greatly reduced. PSO algorithm further improves the automation performance of electrical engineering, and effectively breaks through the traditional electrical engineering operation mode, improve the operation efficiency. This text studies the concept and work flow of PSO algorithm, introduces the intelligent working principle and internal mechanism of electrical engineering. Data analysis, intelligent electrical engineering automation on account of PSO algorithm effectively improve the intelligent effect of electrical engineering automation.
A path smoothing scheme for micro-line tools using cubic B-spline fitting with dominant points
Authors: Hu Yifei , Jiang Xin , Huo Guanying , Su Cheng , Li Hexiong 
Published: October 2022

Abstract
To obtain higher order continuous tool path, a cubic B-spline curve fitting method is presented in this paper to process the linear tool path. First, a local cubic polynomial fitting with bidirectional scanning scheme is proposed to determine some initial dominant points. Based on these dominant points, the initial knot vector is generated by average method, and the initial B-spline is constructed. To constrain the fitting error, a Newton’s method based fitting error estimation scheme and a fitting error based dominant point insertion scheme are proposed to modify the B-spline. Simulation results prove that our method can compress data and smooth tool path. Compared with another existing curve fitting method, the number of control point has decreased by 9.43%, and the machining time has decreased by 94.45% compared with traditional point-to-point (P2P) motion.
Robot-assisted assessment of the effects of self-aligning mechanism on the wrist passive range of motion
Authors: Xu Dong , Zhang Xu , Xu Han , Li Yibin , Li Xiaolong , Zhou Qicai , Fu Jianming , Gu Xudong 
Published: October 2022

Abstract
Axis alignment between human and robot has been a research hotspot in wearable rehabilitation robots and has a significant effects on full natural ranges of motion (ROM) during robot-assisted training exercises. Self-alignment mechanism (SAM) has been extensively applied on the rehabilitation robots to adaptively compensate the axis misalignment between human anatomic and robot mechanical joints. However, the effects of the SAM on the wrist ROM have not been definitely assessed. In this study, we implemented a SAM on a wrist rehabilitation device (WReD II), and the SAM was specially designed to be locked or unlocked to achieve self-alignment function or not according to demands. To assess the effects of SAM on the wrist passive ROM of extension/flexion (E/F), passive training experiments involving 8 healthy participants were conducted by locking or unlocking the SAM respectively. Surface Electromyography (sEMG) was applied to monitor muscle activity during experiments. During the experiments, the wrist passive ROM were measured by applying the robot-assisted assessment technique. Preliminary results show that the means of the passive ROM have a maximum increase of 19.78° in the case with SAM unlocked when compared to the case with SAM locked. Statistical results indicated high test-retest reliability of the passive ROM measurements with intraclass correlation coefficient ICC (2,1) more than 0.82, and standard error of measurement (SEM) less than 3.2°. These findings suggest that the implement of SAM on the rehabilitation robots has great potentials due to its feasibility and reliability to obtain larger natural passive ROM.
Research on Active Disturbance Rejection Thrust Stability Control of Permanent Magnet Reluctance Linear Motor
Authors: Chen Gaoqi , Zhang Huixian 
Published: October 2022

Abstract
Permanent magnet reluctance linear motor (PMRLM) has high thrust density, simple and reliable structure due to the structure of permanent magnet and current double excitation. It is suitable for all kinds of large factories and logistics sorting centres. However, the existence of double salient pole structure and permanent magnet flux harmonic, the thrust pulsation of the motor is very large. In view of the above problems, the mathematical model of PMRLM is established, and the ADRC technology is proposed to be introduced into the thrust stability control. By building a simulation platform and comparing with the traditional PID control, the results show that the ADRC effectively reduces the thrust pulsation to a certain extent, and has good robustness and anti-interference.
Research and Simulation of a Synchronous Fieldbus Technology Based on OPNET
Authors: Wang Zhiqiang , Wang Rui , Fan Ping , Xun Panpan , Wang Zhe , Xue Shaohui 
Published: October 2022

Abstract
Synchronous fieldbus technology is based on the traditional CAN bus with the time division technology, so that communication nodes only send data in a characteristic time slice of a communication cycle. The method can eliminate the conflict between nodes and avoid the competition between nodes of the bus. In this paper, the node layer, LLC process layer and MAC process layer models of the synchronous fieldbus technology are established in the OPNET environment, and an experiment is designed to simulate the actual use scenario, and the method is verified. The result of the method is correct, the effect of it is intuitive, the simulation method of it is correct, and it can be used in synchronous fieldbus simulation research and engineering application.
Regional Stability of Switching Control Circuit Systems with Multiple Equilibria
Authors: Yang Shengxu 
Published: October 2022

Abstract
This paper investigates the stability of systems of multi-equilibrium switching circuits. For a first-order switching circuit system with two subsystems containing unique equilibria and different equilibria, we first establish a sufficient condition for the stability of the region of the multi-equilibrium first-order switching circuit system, and then complete the proof of its stability by means of a general solution of the system state. Secondly, for the second-order multi-equilibrium switching circuit system, the sufficient condition for the stability of the second-order multi-equilibrium switching circuit system is given, and the feasibility of the theorem is finally proved by drawing on existing research results and related sufficient conditions. The conclusions obtained show that the system of first- and second-order multiple equilibria switching circuits in the region is regionally stable after the corresponding switching paths.
Analysis of water cooling system for electric aircraft frequency conversion power supply device
Authors: Ma Song , Chen Ping , Fan Xinyue , Lv Dawei 
Published: October 2022

Abstract
Using an electric propulsion system instead of internal combustion engine power, electric aircraft have the advantages of energy conservation and environmental protection. This paper proposed an analysis method of the water cooling system for the frequency converter of an electric aircraft which aims at increasing the power density of the frequency converter. The turbulence of the cooling water influence heat dissipation, which is important in the calculation of fluent field. Based on fluent field calculation, the relationships between the flow quantity and temperature, the flow quantity and pressure, the flow velocity and temperature, and the flow velocity and pressure of the water cooling system are received, which guided the design of the water cooling system. Then the flow quantity is determined to be 0.8m3/h, the cross-section of the cooling water channel is determined to be 9.5mm×10mm, and the maximum temperature of the converter frequency is 67.27°C, which is verified by the experiment. The calculation results for the final water cooling system are within usage requirements which benefit future design.
Detection of Three-Phase Voltage Sag under Multiple Power Quality Disturbances
Authors: Wang Qing , Zhang Huaying , Yuan Tao , Han Song , Deng Tianbai , Tao Jun 
Published: October 2022

Abstract
Voltage sag is an unavoidable short-term power quality disturbance problem in the power system. Rapid and accurate detection of voltage sag characteristic quantities is the premise of dealing with the sag problem. Based on the principle of d-q transformation and ISOGI-QSG structure, this paper proposes a method for fast detection and identification of three-phase voltage sag. It describes the working principle of the improved SOGI in detail. In addition, the structure of three-phase voltage sag independent detection is analyzed, and a fast determination method for sag fault types is proposed. The advantages of this method compared with traditional three-phase voltage detection are verified by simulation comparison, and it still has good anti-interference ability and better dynamic performance under various power quality disturbances. Moreover, the detection speed can meet the time requirements of sensitive loads for dual power switching.
Parameter design method of grid-connected inverter microgrid system
Authors: Yang Liyong , Zhao Dongchu 
Published: October 2022

Abstract
LCL filter is widely used in three-phase voltage converters due to its superior high-frequency harmonic suppression ability. In this paper, aiming at the instability problem caused by the resonance peak of the impedance characteristics of the LCL filter third-order system, the relationship between the parameters of the filter inductance, damping resistance, and the harmonic suppression ability is deduced. The impedance analysis method is used to obtain the constraint conditions of the grid stability on the LCL parameters. Based on the stability criterion, a parameter design scheme of passive damping LCL filter is proposed. Finally, experiments are conducted on filters that conform to the proposed design method, and the simulation results verify the rationality and effectiveness of the design method.
Design and Optimization of Amplifying Mechanism in Gas-Liquid Thermoelectric Power Device
Authors: Huang Li , Shen Zhen-Jun 
Published: October 2022

Abstract
Aiming at the small output displacement of the gas-liquid temperature difference power device, a flexible hinge displacement amplification system was designed and optimized using the lever principle. The formula for calculating the magnification of the lever-type flexible hinge mechanism was derived by taking into account the offset of the flexible hinge's rotational center. Likewise, consider how the parameters of the mechanism affect the output performance of the amplifying mechanism. Combining SolidWorks and Workbench to improve the amplifying mechanism's parameters, find the best value for the parameters, and experimentally validate the optimized results. The research shows that the error between the experimental data and the finite element simulation value is 2.49%, which verifies the correctness of the simulation model. The design goals of high magnification of the mechanism and output after displacement amplification are realized.
Design and Simulation of Satellite Attitude Control Algorithm Based on PID
Authors: Shan Yihe , Xia Lurui , Li Sen 
Published: October 2022

Abstract
According to the tasks of mapping and reconnaissance, the satellite needs to adjust its attitude and keep its attitude stable when it is in orbit. Firstly, the kinematic model and dynamic model of satellite attitude are established.Then the digital simulation of satellite attitude control system is built based on the mathematical model of satellite attitude, in which the control modules use PID controller and fuzzy PID controller respectively. Finally, the steady-state performance and dynamic performance of the two controllers are compared and analyzed.The experimental results show that both fuzzy PID control and fuzzy PID control can be used as effective means of attitude control.Both of them have high precision, fast speed and good steady-state performance to achieve the desired attitude. Fuzzy PID control also has the ability of self-tuning controller parameters, which makes the control process smoother.
Design and validation of a wheel-rail adhesion simulator in PLS-Circulator
Authors: Chen Chao , Tian Chun , Huang Ting Xiang , Zhu Wen Liang 
Published: October 2022

Abstract
A 1:4 scaled test rig called 'PLS-Circulator' is introduced for wheel-rail contact research under large slip conditions, which is composed of two wheel assemblies, 2 m diameter ring track with sprinklers surrounded, gearbox and two servo motors. On this basis, a wheel-rail adhesion simulator was designed to generate and measure the wheel-rail contact force. The slip ratio is the specific value of two motor speeds, which brings convenience to precisely control. SIMPACK simulation results showed that the slip ratio converged to the target value after the initial time in consideration of gear meshing vibration. The validation of the adhesion recovery was carried out utilizing PLS-Circulator under large slip conditions. Experimental results showed that in both steady and dynamic slip ratio experiments the adhesion coefficient could increase up to 26% from a lower adhesion caused by wet wheel-rail interface at the vehicle velocity of 20 km/h.
Study on a theory and method of detonation control simulation
Authors: Zhao Jinqing , Sun Yong , Lu Guangzhao , Wang Xun , Wang Di , Zhang Shaopan , Cao Junqing , Wei Lan 
Published: October 2022

Abstract
Detonation control simulation is an important issue in the field of ammunition performance analysis. Extensive research has been carried out at home and abroad, this paper presents a theory and method of detonation control, including detonation control theory and method, initiation point calculation method, guidance error calculation, fuze trigger calculation, coordinate transformation of fuze trigger point start point, recursive calculation of fuze start delay and so on. The accurate starting of fuze and the simulation of ammunition detonation control are realized, combined with practical application, good results have been achieved.
Photovoltaic power prediction based on multi-layer fusion model
Authors: Qin Weiming , Guo Wenjing , Li Wenjing , Liu Yumin , Gao Liyuan , Zhang Wei , Lin Jingwen 
Published: October 2022

Abstract
Accurate forecasting of photovoltaic power output can provide technical guidance for smooth grid connection of photovoltaic power plants and avoid grid energy quality problems caused by large fluctuations in photovoltaic power. Therefore, it is very important to obtain more accurate photovoltaic energy forecast data. The traditional photovoltaic power forecasting model has the problems of low forecast accuracy and hysteresis.to further improve the prediction accuracy of pv power, this paper proposes a multi-layer fusion PV power prediction model based on dynamic modification of the weight parameters of each model. The model's benchmark algorithms include XGBoost, LigthGBM and ConvLSTM. In the case study, real photovoltaic station data were used to verify the simulation,The forecast results show that the model proposed in this paper has a better effect than any single model and has strong practicability.
Piecewise and Nonlinear Power Compensation Model for Gateway Meters in Substations
Authors: Deng Siyang , Chen Kaiming , Wang Yonggui , Huang Lvchao 
Published: October 2022

Abstract
In order to measure the electric energy and monitor the power quality in substations with accuracy, higher precisions are required for the gateway meters. Due to the wide dynamic range of the current and the nonlinearity of the compensation models, the calibration becomes complicated to guaranteeing the accuracy over the full range. For the purpose of decreasing the complexity of calibration, a piecewise and nonlinear compensation model is presented in this paper. With this model, all the values needed could be calibrated within two calibration points and the accuracy could achieve the requirements of precision over the full range. Results shows the efficiency of this method.
Microgrid Droop Control Based on Simulated Annealing Adaptive Particle Swarm Optimization
Authors: Liang Jiangyi , Zou Hairong 
Published: October 2022

Abstract
Droop control has been widely used and researched as a characteristic method to achieve current distribution. The traditional droop control has inherent limitations. With the development of various control algorithms, the sec-ondary control of the DC microgrid droop control is no longer limited to the use of classical deviation adjustment or the general compensation method of the associated parameters for compensation. An improved droop control method based on the optimal compensation method. Compared with the traditional particle swarm optimization, the adaptive particle swarm optimization (ASAPSO) algorithm based on simulated annealing is adopted, which enhances the ability of the particle swarm to improve the convergence speed and convergence accuracy. By improving the algorithm, the optimization results are fed back to the droop parameters in real time, so as to improve the optimization effect. The effectiveness and viability of the proposed control method are verified by simulation experiments with MATLAB/Simulink.