bluuebunny/crossref_metadata_2025_split huggingface dataset:
Maximum Power Control Method for Two-branch Online Energy Extraction System
Authors: Zhang Ningwei , Liu Zheng 
Published: September 2023

Abstract
Aiming at the problem that the fluctuation of the current on the cable causes the change of the parameters in the magnetic core, that is, the excitation inductance and the excitation resistance change, and the energy extraction system cannot maintain the resonance and the maximum power output, an online power extraction method combining the dual branch topology and the resonance power control is proposed. By controlling the PWM rectifier circuit, the load impedance is changed so that it is always equivalent to the matching impedance of CT. The parallel resonance state is maintained when the transmission line current changes in a wide range, so that more active power flows to the energy-taking branch to achieve the maximum energy-taking power and assure the normal operation of the energy source. The correctness of the proposed method is verified by Maxwell/Simulink software simulation.
Design of High-Efficiency Dual Band Power Amplifier Based on GaN HEMT
Authors: Yin Rongji , Wang Wei 
Published: September 2023

Abstract
In this paper, a novel dual-frequency impedance converter is proposed, and a rigorous derivation process is given. Based on this, a 0.61/2.6 GHz dual-frequency and high-efficiency power amplifier is designed. The joint simulation results show that the designed power amplifier achieves a maximum power added efficiency (PAE) of 68.3% at 0.61 GHz and achieves a saturated output of 41.53 dBm; At 2.6 GHz, the saturated output power is 40.8b dBm, and the maximum PAE is 56.3%. The designed dual-frequency power amplifier has good working performance.
The matching of power performance parameters of marine diesel based on orthogonal principal component analysis
Authors: Cai Zheng , Yang Chenxi , Lin Hang , Lin Kaijin , Fan Jinyu , Li Pinfang , Huang Jialiang 
Published: September 2023

Abstract
To solve the problem of combining the operating parameters of marine diesel engines after modification. The 4190ZLC-2 type marine medium-speed engine produced by Jinan Diesel Engine Plant is used as the research object. The AVL_FIRE software is used to construct a dual-fuel combustion chamber model and verify the accuracy of the model. The orthogonal test method was used to simulate the combustion parameter matching the indicated power research objective. The method of principal component analysis was used for screening and comprehensive analysis. The results show that among the principal components affecting the indicated power, the cumulative contribution of the first two principal components reaches 99.90%, which basically contains all the information of the five indicators affecting the indicated power of diesel engine and can reflect the combination of power parameters of dual-fuel diesel engine. The study’s results can provide useful references for matching the influencing parameters of the indicated power.
Fault Diagnosis Method for High Voltage Power Metering System Based on the PCA-ELM Algorithm
Authors: Liang Yanhe , Li Qi , Gong You , Wang Xiaoyu , Li Xinggang 
Published: September 2023

Abstract
The current fault diagnosis of high-voltage power metering systems lacks the processing of information dimensions, which leads to the low correctness of fault diagnosis results. To this end, a fault diagnosis method based on the PCA-ELM algorithm for high-voltage power metering systems is proposed. Eliminate data information noise. Extract fault information features. Based on PCA to reduce the information dimension, the ELM algorithm is used to analyze the fault information characteristics. The fault information characteristics correspond to the fault types to complete the fault diagnosis of the high-voltage power metering system. Comparative experiments are designed for verification. The measurement results show that the accuracy rate of fault diagnosis for this method is 99.89%, and the average accuracy rate of fault type diagnosis is 98.87%, which substantially improves the correct rate of diagnosis results.
Influence of line current limiting reactor on temporary overvoltage of 500 kV transmission line
Authors: Ren Hongtao , Wei Xianguang , Wu Haifeng 
Published: September 2023

Abstract
In order to limit the temporary overvoltage, the method of the series current limiting reactor in the line is often used in the power grid to limit the overvoltage. The parameters of current limiting reactance directly affect the level of 50Hz overvoltage. The installation of a current limiting reactor changes the positive and zero sequence impedance parameters of the line, which has an impact on the temporary overvoltage of the line. Installing a current limiting reactor on the 500 kV Line’s overvoltage is studied by using electromagnetic transient calculation software EMTP. The simulation results show that the temporary overvoltage of the 500 kV Line can be reduced by adding a current limiting reactor.
Transmission section limit power calculation based on improved-inspired bat algorithm
Authors: Yu Li , Wu Xiaohua , Cheng Lin , Li Xiaowei 
Published: September 2023

Abstract
The transmission section in the interconnected power grid may expand the blackout accident. It is helpful for the dispatching department to adjust operational mode in time to avoid large area blackout incidents by quickly searching the key transmission section and calculating the limit transmission power of the section. A power flow transfer ratio C is proposed in the paper, which can effectively improve the selection accuracy and speed of the K value. A correction mechanism is proposed to select the K value, which can improve the search efficiency of power transmission section based on the K shortest path algorithm. A calculation model of the ultimate transmission power of transmission sections is constructed. The improved bat-inspired algorithm is proposed to solve the model. The calculation results based on IEEE39 bus test system verify the effectiveness of this method.
A Power Construction Safety Hazard Identification Technology Based on Surveillance Video on Site
Authors: Feng Yangzhou , Ma Yanbin , Zhou Yan , Wang Bin , Zhang Enze 
Published: September 2023

Abstract
There are more and more newly established substations and transmission lines, contributing to subsequent and reliable power supply and socioeconomic development. Violations are prone to occur on construction sites arousing safety hazards. This paper describes a video-based approach to identifying safety risks on site, building typical security hazards and violations feature libraries, and developing a BP neural network algorithm to identify safety risks. That approach can effectively improve the efficiency of on-site safety inspections on power infrastructure sites and contribute to the compliance of power infrastructure operations.
Load Forecasting of Battery Electric Vehicle Charging Station based on GA-Prophet-LSTM
Authors: Wei Yining , Jiang Yan , Song Jiawei , Sheng Zhiqiang , Song Xueying , Meng Zibing 
Published: September 2023

Abstract
Under the general trend of electric vehicles (EV), aiming at the problem of load forecasting accuracy of electric vehicle charging stations (EVCS), this paper proposes a prediction method combining the Prophet model and Long Short-Term Memory (LSTM) neural network. First, the Prophet model and LSTM neural network model are constructed independently; second, the optimal weight of each model is determined by a genetic algorithm (GA), and a new prediction model is obtained by combining the above two models; finally, experiments are carried out with the charging load data of EV in the real scene. According to the analysis of experimental results, it can be proved that the GA-Prophet-LSTM model presented here is more accurate compared to any single model.
The multilevel coordinated optimal control method of a photovoltaic distribution network based on an improved FPA algorithm
Authors: Qiu Guihua 
Published: September 2023

Abstract
The control method of the photovoltaic distribution network has problems of low control accuracy and high line loss of the photovoltaic distribution network. Therefore, this paper proposes a multilevel coordinated optimization control method of a photovoltaic distribution network based on an improved FPA algorithm. First, we analyze the FCM algorithm, use the Euclidean distance to calculate the number of clusters, analyze the basic principle of the flower pollination algorithm, build the coordinated optimization control model of the photovoltaic distribution network, calculate the power flow result of the photovoltaic distribution network by improving the FPA algorithm, determine the global pollination behavior according to the flower pollination algorithm, and use the greedy strategy to obtain the optimal candidate solution. At this time, the obtained solution is the multi-level coordinated optimization control result of the photovoltaic distribution network. The experimental results show that this method can effectively improve the multi-level coordination and optimization control effect of the photovoltaic distribution network and reduce the line loss of the photovoltaic distribution network.
Transferring four-dimensional atomic states at one step between separated cavities
Authors: Chen Zihong 
Published: September 2023

Abstract
This paper is concentrated on one-step transferring four-dimensional atomic states between atoms trapped in distant cavities connected by an optical fiber. Compared with the conventional schemes, one-step transferring four-dimensional atomic states means higher efficiency in preparing quantum network. In addition, we also calculate the effects of photon leakage out of cavity and fiber in this quantum process. The result shows the high fidelity can be reached based on the current experimental conditions.
Tracking multiple dynamic objects by a combination of laser ranging and UHF RFID phase information
Authors: Chen Shaonan , Ning Heng , Guo Lin , Sun Feng , Xiao Yufeng , Liu Ran 
Published: September 2023

Abstract
Radio Frequency Identification (RFID) achieves the identification of objects through electromagnetic waves and has wide applications in many areas. The system reports a list of tags in proximity without any knowledge about distance or bearing of the object. This paper presents an approach to integrate RFID phase and laser range information for the tracking of dynamic objects in an environment. The proposed system determines locations of objects by comparing the velocities estimated from two different systems. In particular, the laser range data is segmented into clusters using DBSCAN (Density-based spatial clustering of applications with noise). We compute the radial velocities of these clusters and compare them to the radial velocity estimated from RFID phase difference. The particle filtering is used to fuse the ambiguous phase measurements and to track moving objects with multiple hypothesis. The proposed approach uses the commercial off the shelf RFID devices and does not require the modelling of radio signal propagation. Experiments were conducted with a SCITOS G5 robot to verify the feasibility of the approach. The results showed that our approach can achieve a positioning accuracy of approx. 0.37 meters in a complex environment.
An improved K-Means clustering based on differential evolution
Authors: Liu Suping 
Published: September 2023

Abstract
Randomly selecting the initial cluster center point in the K-means clustering algorithm can lead to the issue of local optima. The paper introduces an enhanced differential evolution algorithm for optimizing K-means clustering. Experimental results demonstrate the superiority of the improved K-means clustering, based on the proposed differential evolution, over other comparison algorithms. Notably, the optimized version exhibits exceptional performance in clustering Iris, Wine, and Glass datasets. The initial clustering center can improve the clustering accuracy in the later stage. Therefore, the proposed algorithm is more superior.
Effect of stepped Si (001) substrate on Cu thin film growth
Authors: Lablali M , Mes-adi H , Eddiai A , Mazroui M 
Published: September 2023

Abstract
The growth processes of Cu thin film on stepped Si(001) substrate were investigated using molecular dynamics simulation. The modified embedded atom method was used to describe the atomic interaction between Cu-Cu, Si-Si, and Si-Cu. In this study, four different Si(001) substrate configurations were examined: (i) flat Si(001) substrate; (ii) stepped Si surface with 3-monoatomic layers step; (iii) Stepped Si surface with 5-monoatomic layers step; (iiii) stepped surface with 7-monoatomic layers. Our aim here is to investigate the effect of stepped substrate on the structure, the surface roughness, and the morphology of deposited Cu thin film. The results show that the Cu film obtained has a crystalline structure based on the radial distribution function. In addition, the morphology of Cu film is not smooth for the different stepped substrates. More precisely, the surface roughness increases when the substrate presents a step and rises with the augmentation of the step height. On the other hand, our results reveal that the penetration of Cu atoms in the simplest case of the flat configuration is limited to the top layer of the substrate. While for the stepped substrate, our findings show that the penetration in the stepped substrate is more important and deeper within the upper terrace compared to the lower terrace. Furthermore, the numerical calculations demonstrate that the step height has no significant effect on the penetration of Cu atoms on the Si(001) stepped substrate. These results are appropriate for the deposition of copper atoms into the stepped substrate of silicon.
Phytic acid pretreatment activate hot-dip galvanized steel to enhance the corrosion resistance of silane film
Authors: Le Yongpeng , Zhang Jingwen , Kong Gang , Li Shuao , Che Chunshan 
Published: September 2023

Abstract
In this work, hot-dip galvanized steel were pretreated with different concentrations of phytic acid(C6H8O24P6,PA) solution to obtain more hydroxyl groups, which act as an activated site on the surface of zinc layer. Then, 3-Glycidoxypropyl methyldiethoxysilane (GPTMS)/tetraethylorthosilicate (TEOS) hybrid silane film was prepared. The structure and morphology of film were tested by Fourier transform infrared spectroscopy (FTIR) and scanning electron microscopy (SEM-EDS). The results indicated that phytic acid treatment at a concentration of 5 ml l−1 improved the denseness and uniformity of the silane film while increasing its thickness. The results of electrochemical impedance spectroscopy (EIS) showed that the corrosion impedance of silane films under PA pretreatment was greatly improved. Furthermore, there were less rusts after 120 h salt spray test.
Study on chemical corrosion properties of titanium alloy in 2A14 aluminum melt
Authors: Yang Yilong , Zhang Ya , Liu Xuhe , Zhang Haoming 
Published: September 2023

Abstract
Titanium alloy radiation rods have excellent physical and chemical properties compared to other materials, and are commonly used for ultrasonic casting of 2A14 aluminum alloy. However, titanium alloys are chemically corroded in high-temperature aluminum melts for a long time, making it difficult to precisely regulate the elemental composition during casting. In order to better understand the high-temperature chemical corrosion mechanism of titanium alloy radiation rods, this research looks into the corrosion morphology, weight loss, surface roughness, and reaction layer. The study’s findings suggest that the rate of chemical corrosion of titanium alloy in high-temperature aluminum melt is often inversely correlated with the degree of roughness, with the degree of roughness changing nonlinearly during the corrosion process. Titanium alloy weight loss rates with roughness Ra0.4 μm, Ra7.2 μm, Ra9.5 μm and Ra9.8 μm are 0.16 mg per min, 0.25 mg per min, 0.37 mg per min and 0.29 mg per min, respectively. The corrosion product of the chemical corrosion process is TiAl3, which is granular. Under varying roughness conditions, the solid-liquid interface of Al/Ti emerges reactants after 4 min, and the TiAl3 reaction layer arises after 12 min. Furthermore, the reaction layer with little roughness is flat and compact, whereas the reaction layer with great roughness is loose and contains many faults. At the same time, the growth rate of the reaction layer decreases slightly. And the greater the surface roughness, the greater the TiAl3 reaction layer grows at the titanium alloy matrix.
Influence of Gd content on structural, electronic, thermoelectric, and optical properties of WO3
Authors: Ramay Shahid M , Shahabuddin Mohammed , Alzayed Nasser S 
Published: September 2023

Abstract
WO3-based semiconductor materials are optimistic competitors for modern electronic devices because of their outstanding electronic and optical properties. Simulations on pure and Gd-doped WO3 compositions were executed using Tran and Blaha modified Becke–Johnson approximation. Experimentally, thin films of these compositions were prepared using the chemically derived technique. X-ray diffraction spectra of thin films exhibited cubic structure having space group 221-Pm-3m in all compositions. Field emission scanning electron micrographs reveal the uniform growth of thin films with rod-like compact morphology. The density of states spectra for electronic properties demonstrate the main contribution of W-d and O-p for pure WO3 with p-d hybridization while Gd containing composition provides an additional prominent contribution from f-orbital. Band structure shows an indirect transition for WO3 and band gap values were observed as 1.73 eV which decreased with increment of Gd content. A significant change in thermoelectric parameters was observed with an increment of temperature and Gd doping. The maximum value of the refractive index was observed as 3.02 in the visible energy regime and tends to decrease in Gd containing compositions. The experimentally obtained maximum dielectric constant was observed as 7.89 for pure WO3 and decreased to 4.58 for maximum Gd containing composition. Optical parameters like extinction, absorption coefficient, and optical conductivity show a sharp increment in visible energy region which make these compositions favorable for photovoltaic and optoelectronic applications. The experimentally obtained optical parameters are found in good agreement with simulated results obtained through TB-mBJ approximation.
White matter functional gradients and their formation in adolescence
Authors: Zhu Jingwen , Margulies Daniel , Qiu Anqi 
Published: September 2023

Abstract
It is well known that functional magnetic resonance imaging (fMRI) is a widely used tool for studying brain activity. Recent research has shown that fluctuations in fMRI data can reflect functionally meaningful patterns of brain activity within the white matter. We leveraged resting-state fMRI from an adolescent population to characterize large-scale white matter functional gradients and their formation during adolescence. The white matter showed gray-matter-like unimodal-to-transmodal and sensorimotor-to-visual gradients with specific cognitive associations and a unique superficial-to-deep gradient with nonspecific cognitive associations. We propose two mechanisms for their formation in adolescence. One is a “function-molded” mechanism that may mediate the maturation of the transmodal white matter via the transmodal gray matter. The other is a “structure-root” mechanism that may support the mutual mediation roles of the unimodal and transmodal white matter maturation during adolescence. Thus, the spatial layout of the white matter functional gradients is in concert with the gray matter functional organization. The formation of the white matter functional gradients may be driven by brain anatomical wiring and functional needs.
Population pharmacokinetics of a combination of miltefosine and paromomycin in Eastern African children and adults with visceral leishmaniasis
Authors: Verrest Luka , Roseboom Ignace C , Wasunna Monique , Mbui Jane , Njenga Simon , Musa Ahmed M , Olobo Joseph , Mohammed Rezika , Ritmeijer Koert , Chu Wan-Yu , Huitema Alwin D R , Solomos Alexandra , Alves Fabiana , Dorlo Thomas P C 
Published: September 2023

Abstract

Objectives
To improve visceral leishmaniasis (VL) treatment in Eastern Africa, 14- and 28-day combination regimens of paromomycin plus allometrically dosed miltefosine were evaluated. As the majority of patients affected by VL are children, adequate paediatric exposure to miltefosine and paromomycin is key to ensuring good treatment response.

Methods
Pharmacokinetic data were collected in a multicentre randomized controlled trial in VL patients from Kenya, Sudan, Ethiopia and Uganda. Patients received paromomycin (20 mg/kg/day for 14 days) plus miltefosine (allometric dose for 14 or 28 days). Population pharmacokinetic models were developed. Adequacy of exposure and target attainment of paromomycin and miltefosine were evaluated in children and adults.

Results
Data from 265 patients (59% ≤12 years) were available for this pharmacokinetic analysis. Paromomycin exposure was lower in paediatric patients compared with adults [median (IQR) end-of-treatment AUC0–24h 187 (162–203) and 242 (217–328) µg·h/mL, respectively], but were both within the IQR of end-of-treatment exposure in Kenyan and Sudanese adult patients from a previous study. Cumulative miltefosine end-of-treatment exposure in paediatric patients and adults [AUCD0–28 517 (464–552) and 524 (456–567) µg·day/mL, respectively] and target attainment [time above the in vitro susceptibility value EC90 27 (25–28) and 30 (28–32) days, respectively] were comparable to previously observed values in adults.

Conclusions
Paromomycin and miltefosine exposure in this new combination regimen corresponded to the desirable levels of exposure, supporting the implementation of the shortened 14 day combination regimen. Moreover, the lack of a clear exposure–response and exposure–toxicity relationship indicated adequate exposure within the therapeutic range in the studied population, including paediatric patients.
Recommender Systems and Supplier Competition on Platforms
Authors: Fletcher Amelia , Ormosi Peter L , Savani Rahul 
Published: September 2023

Abstract
Digital platforms can offer a multiplicity of items in one place. This should, in principle, lower end-users’ search costs and improve their decision-making, and thus enhance competition between suppliers using the platform. But end-users struggle with large choice sets. Recommender systems (RSs) can help by predicting end-users’ preferences and suggesting relevant products. However, this process of prediction can generate systemic biases in the recommendations made, including popularity bias, incumbency bias, homogeneity bias, and conformity bias. The nature and extent of these biases will depend on the choice of RS model design, the data feeding into the RS model, and feedback loops between these two elements. We discuss how these systemic biases might be expected to worsen end-user choices and harm competition between suppliers. They can increase concentration, barriers to entry and expansion, market segmentation, and prices while reducing variety and innovation. This can happen even when a platform’s interests are broadly aligned with those of end-users, and the situation may be worsened where these incentives diverge. We outline these important effects at a high level, with the objective to highlight the competition issues arising, including policy implications, and to motivate future research.