bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multi-port DC transformer applied to large-scale DC collection systems
Authors: Teng Shangfu , Fan Linzhen , Chen Qichen , Su Jinguo , Li Tai 
Published: July 2024

Abstract
This paper proposes a multi-port DC transformer for boosting and flexible interconnection in large-scale DC collection systems. It can transmit power and adjust port current, while also having a relatively simple control strategy. The engineering practicality of the proposed DC transformer can be well verified through the simulation of a 4 GW DC collection system. In this application scenario, the proposed DC transformer can operate stably and safely under both dynamic and steady-state conditions.
A measurement method for magnetic moment and magnetic declination of ferromagnetic samples based on rotating magnetic dipole
Authors: Zhang Shizheng , Chen Tao , Fu Tianyu , Ai Danni , Yang Jian 
Published: July 2024

Abstract
This paper presents a novel measurement method for detecting the magnetic properties of ferromagnetic materials. The proposed method uses a motor to rotate the ferromagnetic sample. At the same time, a triaxial magnetometer reads the magnetic field information, and the motor rotation frequency and the magnetometer sampling rate obtain the rotation angle information. A nonlinear optimization algorithm is applied to calculate the magnetic moment and magnetic declination angle of the sample. The effectiveness of the method is proved by numerical simulation and experimental measurement. Our results indicate that the proposed method offers several advantages, including its ease of deployment, simplicity of operation, high accuracy, and robustness. It provides a feasible solution for laboratory-based magnetic moment measurements and rapidly detecting magnetic moments in industrial settings.
LQR controller design for portable power supply based on flyback converter
Authors: Zou Bing , He Dehui , Liang Jianan 
Published: July 2024

Abstract
The stability of the power repair equipment guarantees the reliability of the repair of electrical equipment. The following problems exist in the power supply of the emergency equipment: the load equipment randomly cuts in the power supply network; load equipment requires fast dynamic performance of the power supply. This challenges the stability of the portable power supply with the Flyback converter as the core. In this paper, an optimal feedback control strategy based on linear quadratic regulator (LQR) theory is proposed to improve the dynamic and steady-state performance of the Flyback converter. First, the state-averaged space model of the Flyback is derived and established. Second, an output voltage feedback integral controller is introduced to eliminate the steady-state error of the output voltage. Next, according to the LQR optimal control theory, the control model of the Flyback converter has been established, and the parameter design of the controller has been carried out by obtaining the optimal feedback gain matrix of the system. Finally, the simulation models are implemented with an output power of 120 W and a switching frequency of 50 kHz. The simulation results prove that the LQR controller provides superior performance than the traditional PI controller.
Design of wireless transmission system for intelligent agricultural greenhouse data acquisition based on modbus communication protocol
Authors: Peng Zhaoxia , Cui Zhiyong , Zhong Dongbo 
Published: July 2024

Abstract
Traditional agricultural greenhouses rely too much on manual labor and have a poor ability to adjust the key factors that affect crop growth, such as temperature, humidity, and illumination, resulting in low production efficiency and unstable product quality. Based on the MODBUS communication protocol, a set of intelligent agricultural greenhouse data acquisition wireless transmission systems is designed in this paper. Intelligent instruments, sensors, wireless transmission equipment, and smart control equipment (PLC) have been introduced in agricultural greenhouses. These sensors and instruments automatically collect data and wirelessly transmit it to the intelligent control system in the control room, which is located a few kilometers away. The intelligent control system processes the data and generates various control instructions which are then transmitted to the executive mechanism in agricultural greenhouses for implementation. We complete automatic adjustment of temperature, humidity, illuminance, and other parameters and operations. The intelligent, large-scale, and unmanned agricultural greenhouses are realized. It greatly improves the production efficiency and product quality of crops.
Fault diagnosis of the traction main circuit based on product-based neural network
Authors: Huang Weijia , Zhu Qinyue 
Published: July 2024

Abstract
The traction main circuit serves not only to supply power to the EMUs train set but also plays a crucial role in the initiation, speed regulation, and braking of the train. Therefore, diagnosing the operational status of the traction main circuit is of paramount importance. This paper initiates the modeling of the traction main circuit for the CRH2 EMUs train set, followed by an analysis of the primary components’ faults within the traction main circuit. Voltage and current signals from the transformer’s primary side, traction winding, as well as the stator current and speed signals of the traction motor, are collected. Fault characteristics are then extracted using FFT and wavelet analysis methods. Subsequently, employing the Product-based Neural Network (PNN), the transformer, converter, and motor are subjected to fault diagnosis. Experimental results validate the high accuracy of the proposed fault diagnosis method presented in this paper.
Research on simulation accuracy of equivalent aggregate electromagnetic model optimization for large renewable energy stations
Authors: Wu Xiaorong , Cao Bin , Xing Yue , Shen Zhuoxuan 
Published: July 2024

Abstract
The traditional power grid is rapidly transforming into a new power system with high penetration of new energy. Simulation modeling plays an important role in supporting the cognition and research of the new power system. A high proportion of renewable energy is connected to the grid through power electronic components, which puts forward a higher demand for research on the accuracy and stability of power grid simulation modeling. Renewable energy plants usually have a large number of single units, and equivalent aggregation modeling is the usual way to simplify the modeling of renewable energy plants. However, the transmission line power multiplier equivalent module inevitably introduces series impedance into the network, resulting in errors between simulation and actual engineering. Therefore, the study of lossless multiplier elements based on Modified Nodal Analysis (MNA) can improve the simulation accuracy, and it is verified with the simulation results of detailed models in actual scenarios, proving that MNA lossless multiplier elements can optimize the accuracy and stability of equivalent aggregation modeling of large-scale multi-unit renewable energy stations.
Research on PCB layout optimization of vehicle controller based on electrothermal hybrid simulation
Authors: Zhang Yanfei , Hou Daizheng , Zhou Yafu 
Published: July 2024

Abstract
With the rapid development of the electronic industry, electronic equipment is more and more widely used in automobiles. The integration of electronic components on the Printed Circuit board (PCB) is getting higher and higher, the size is getting smaller and smaller, and the power is getting larger and larger, which leads to a sharp increase in the heat flow density of the whole PCB. The surface temperature of the chip is too high when it is working, which leads to a series of thermal failure problems. In order to improve the thermal characteristics between PCB and electronic components and improve the heat dissipation capability and reliability of PCB, this paper designed a vehicle controller PCB. PowerDC was used to conduct an electrothermal hybrid simulation analysis, and the temperature distribution of the whole board was obtained. Meanwhile, the structural layout of the PCB was optimized by increasing the heat dissipation hole, floor copper foil, and wiring width. Thus, the temperature of PCB and electronic components is reduced, which provides a vital reference for the thermal design of PCB.
Calibration method of strapdown inertial measurement unit based on two-axis turntable
Authors: Liu Yulin , Gao Tongyue , Zhan Haozhe , Wu Guangyuan , You Yunteng 
Published: July 2024

Abstract
This paper analyzes the causes and effects of error in the Strapdown Micro-Electro-Mechanical System Inertial Measurement Unit (MEMS-IMU), utilizing a sensor calibration method based on a two-axis turntable. By considering deterministic errors such as sensor bias, scale factor, and non-orthogonality of the sensitive axis, an error model was established to assess their impact on measurement accuracy. An expression was provided to represent the relationship between sensor data collection and external input stimuli, storing the error parameters of the accelerometer and the gyroscope separately in parameter matrices. The error parameter matrix between input and output quantities was fitted using the least squares method, and error compensation was completed in conjunction with the error model. By comparing the original data with the error-compensated data, the calibration results were obtained. This improved the consistency of the measurements from the sensitive axes to the stimulus source, reduced the zero bias error of each sensitive axis, and enhanced the positioning accuracy of the Strapdown MEMS-IMU.
Research on partial discharge signal denoising based on Kalman-WPT
Authors: Wang Jingyi , Hou Dingshuo , Qin Yulei , Song Feiyang , Yang Guixiang , Xu Mingjian 
Published: July 2024

Abstract
Oil-immersed insulating paper will produce partial discharge under high-frequency pulse voltage conditions, so suppressing or reducing the generation of partial discharge signals is an important method for stabilizing the operation of power equipment. However, it has been found in experiments that various interference signals can affect the generation, capture, and measurement of partial discharge signals during various analyses. Therefore, how to capture partial discharge signals effectively and accurately through denoising algorithms has become the focus of this series of experiments. Kalman filtering and wavelet packet transform are the most basic and commonly used methods for denoising at this stage. By analyzing and comparing the basic principles and characteristics of the two methods, the author proposes a Kalman-WPT joint denoising method and conducts simulation analysis using MATLAB 2022b. Multiple controlled experiments have shown that the signal-to-noise ratio of selected discharge signals has increased from 1.3052 for Kalman filtering and 8.9553 for wavelet packet transform to 10.3702, which is sufficient to prove that this method enhances the denoising effect on the original partial discharge signal, reduces waveform distortion, and greatly improves signal detection accuracy.
Short-term wind power forecasting method based on spatial-temporal graph neural network
Authors: Luo Dezhi , Ye Zhengdeng , Tu Zhekai , Chen Jing , Yan Qibo , Wu Peng 
Published: July 2024

Abstract
In order to solve the problem that the weather factor is neglected in the current short-term wind power forecasting process, which leads to a big difference between the power forecasting result and the actual power, a short-term wind power forecasting method based on the spatial-temporal graph neural network is proposed. According to the operating power data, the short-term wind power forecasting sequence is calculated, and the wind farm is regarded as a graph. The dependence of space and time series is captured by a graph neural network, and the spatial-temporal graph neural network model is constructed. Combined with the wavelet decomposition process, short-term wind power forecasting is realized. The experimental results show that the average absolute error and average relative error of this method are less than 10%, and the wind power prediction results at different times are all on the actual wind power curve, which shows that this method can accurately predict short-term wind power.
Towards a RAG-based summarization for the Electron Ion Collider
Authors: Suresh Karthik , Kackar Neeltje , Schleck Luke , Fanelli Cristiano 
Published: July 2024

Abstract
The complexity and sheer volume of information — encompassing documents, papers, data, and other resources — from large-scale experiments demand significant time and effort to navigate, making the task of accessing and utilizing these varied forms of information daunting, particularly for new collaborators and early-career scientists.
To tackle this issue, a Retrieval Augmented Generation (RAG)-based Summarization AI for EIC (RAGS4EIC) is under development. This AI-Agent not only condenses information but also effectively references relevant responses, offering substantial advantages for collaborators. Our project involves a two-step approach: first, querying a comprehensive vector database containing all pertinent experiment information; second, utilizing a Large Language Model (LLM) to generate concise summaries enriched with citations based on user queries and retrieved data. We describe the evaluation methods that use RAG assessments (RAGAs) scoring mechanisms to assess the effectiveness of responses. Furthermore, we describe the concept of prompt template based instruction-tuning which provides flexibility and accuracy in summarization. Importantly, the implementation relies on LangChain [1], which serves as the foundation of our entire workflow. This integration ensures efficiency and scalability, facilitating smooth deployment and accessibility for various user groups within the Electron Ion Collider (EIC) community. This innovative AI-driven framework not only simplifies the understanding of vast datasets but also encourages collaborative participation, thereby empowering researchers. As a demonstration, a web application has been developed to explain each stage of the RAG Agent development in detail. The application can be accessed at https://rags4eic-ai4eic.streamlit.app.[A tagged version of the source code can be found in https://github.com/ai4eic/EIC-RAG-Project/releases/tag/AI4EIC2023_PROCEEDING.]
Diamond based neutron detector in high temperature environments of 200 °C
Authors: Melbinger Julian , Weiss Christina , Griesmayer Erich , Jericha Erwin , Hainz Dieter 
Published: July 2024

Abstract
The stability of the neutron response function and the
detection efficiency of a sCVD diamond detector in the temperature
range up to 200 °C are demonstrated in this paper. A CIVIDEC
neutron detector was simultaneously heated with an AmBe neutron
source. This enabled the measurement of the spectrum of the
deposited energy in the diamond sensor, i.e. the neutron response
function of the detector and the detection rate, which in
combination represents the neutron flux as a function of
temperature. The measured temperature stability of the neutron
response function of the detector and detection rate demonstrates
the suitability of sCVD diamond detectors for harsh environments,
such as encountered in geodetic applications and nuclear fusion
research.
Micro gas chromatography column using ionic liquid modified metal-organic framework as stationary phase for rapid breath analysis of gastric cancer
Authors: Hu Guoqiang , Wang Zihao , Yan Feifei , Wang Hairong , Hua Xinyuan , Zhang Kangning , Gao Jialing , Dong Pengyu , Li Shengbin , Cheng Cheng 
Published: July 2024

Abstract
The micro gas chromatography columns (μGCs) were
prepared for rapid breath analysis of gastric cancer. The
synergistic effect of the specific surface area and the action of
pore diameter on the separation capacity was investigated. The
μGC-IL/UIO-66 was prepared using [P66614][Cl]/UIO-66 as the
stationary phase. For comparison, the μGC-IL and the
μGC-UIO-66 were prepared using [P66614][Cl] and UIO-66 as
stationary phase, respectively. [P66614][Cl]/UIO-66 had a high
specific surface area with a pore diameter distribution of
0.49 nm. The high specific surface area of [P66614][Cl]/UIO-66
improved the efficiency of adsorption and desorption, while the
porous structure with an appropriate pore diameter acted as an
efficient molecular sieve, synergistically enhancing separation
efficiency. So compared to the μGC-IL and the
μGC-UIO-66, the HETP of μGC-IL/UIO-66 was reduced by
68.2% and 22.6%, respectively. In the analysis of volatile
biomarkers (acetone, benzene, n-hexane and toluene) for gastric
cancer, the resolutions between adjacent peaks were 1.96, 2.13 and
3.67, which met the requirements for quantitative analysis
(R > 1.5). The retention times of acetone, benzene, n-hexane and
toluene were 0.72 min, 0.96 min, 1.33 min and 1.67 min, which
enables rapid analysis. All may suggest that the μGC-IL/UIO-66
has a promising application in rapid breath analysis of gastric
cancer.
Development of vertical test stand for SRF cavities at PAPS
Authors: Ye Lingxi , Sha Peng , Mi Zhenghui , Wang Qunyao , He Feisi , Ge Rui , Pan Weimin 
Published: July 2024

Abstract
The vertical test stand (VTS) plays a crucial role in
evaluating the performance of superconducting radio-frequency (SRF)
cavities. The VTS at the Platform of Advanced Photon Source
Technology R&D (PAPS) has been developed by the Institute of High
Energy Physics, Chinese Academy of Sciences (IHEP). In this paper,
the digitalization (based on Field Programmable Gate Array, FPGA)
and integration functionalities of VTS was carried out, which
simplified the vertical test and improved efficiency
greatly. Several vertical tests have been conducted at this upgraded
VTS successfully, which adopted digital self-excited loop (SEL) and
Experimental Physics and Industrial Control System (EPICS).
Electronic analogue of Fourier optics with massless Dirac fermions scattered by quantum dot lattice
Authors: Banerjee Partha Sarathi , Marathe Rahul , Ghosh Sankalpa 
Published: July 2024

Abstract
The field of electron optics exploits the analogy between the movement of electrons or charged quasiparticles, primarily in two-dimensional materials subjected to electric and magnetic (EM) fields and the propagation of electromagnetic waves in a dielectric medium with varied refractive index. We significantly extend this analogy by introducing an electronic analogue of Fourier optics dubbed as Fourier electron optics (FEO) with massless Dirac fermions (MDF), namely the charge carriers of single-layer graphene under ambient conditions, by considering their scattering from a two-dimensional quantum dot lattice (TDQDL) treated within Lippmann–Schwinger formalism. By considering the scattering of MDF from TDQDL with a defect region, as well as the moiré pattern of twisted TDQDLs, we establish an electronic analogue of Babinet’s principle in optics. Exploiting the similarity of the resulting differential scattering cross-section with the Fraunhofer diffraction pattern, we construct a dictionary for such FEO. Subsequently, we evaluate the resistivity of such scattered MDF using the Boltzmann approach as a function of the angle made between the direction of propagation of these charge-carriers and the symmetry axis of the dot-lattice, and Fourier analyze them to show that the spatial frequency associated with the angle-resolved resistivity gets filtered according to the structural changes in the dot lattice, indicating wider applicability of FEO of MDF.
Development and mechanical characterization of horse hair with titanium dioxide nanoparticles reinforced polyester composite
Authors: Ali Huma , Dixit Savita , Mansour Lamjed 
Published: July 2024

Abstract
This study aims to examine the effects of waste material more especially horse hair as fiber on mechanical and physical properties. Tensile, flexural, impact, and hardness properties of horse hair fiber and titanium dioxide nanoparticles (TiO2 NPs) polyester composite were investigated to determine whether the latter might be used as a new material in various engineering applications for a longer life. To improve the impact resistance of the composite, horse hair fiber is mixed in different ratios with titanium dioxide and polyester as filler. Tensile, flexural, and impact mechanical properties were assessed using the Universal Testing Machine, the Rockwell Hardness Testing Machine, and the Izod Impact Test. Specimens were hand-put up using various fiber weight ratios. The results of this study showed that Specimen 5 showed a tremendous increase in flexural strength (98.87 MPa), tensile strength (91.46 MPa), hardness (115 HV), impact strength (15.98 J m−1), and water uptake (10.18%) as compared to the neat and also with the other Specimens. Scanning electron microscopy (SEM) was used to investigate the fracture surface in more detail in order to search for failure mechanisms and the dispersion of nanoparticles. SEM micrographs verified the uniform dispersion of the nanoparticles. Results suggest that these composites can be used as a material for a variety of applications, including biological claims that they are a practical, durable, and environmentally friendly choice.
Comparing the impact of various sterilization methods on the cyclic fatigue resistance, bending strength, and torsional fatigue properties of NiTi rotary files
Authors: Almnea Raid Abdullah 
Published: July 2024

Abstract
This study aimed to evaluate the influence of various sterilization techniques on the cyclic fatigue resistance, bending strength, and torsional fatigue resistance of Tornado Blue and Race Evo rotary endodontic file systems. Both the file systems underwent a series of 15 cycles of sterilization according to the following study groups: control group (G1; i.e., without treatment), chemical sterilization with 5.25% sodium hypochlorite (G2), dry heat sterilization (G3), glass beads sterilization (G4), and steam autoclaving (G5). Each group consisted of 8 samples (n = 8/group). Statistical analysis was performed using a two-way ANOVA and Tukey’s tests (p ≤ 0.05). Mean values for the number of cycles between both files were 1291 ± 52.79 rpm and 2095 ± 52.91 rpm for Tornado Blue and Race Evo, respectively. The torsional fatigue resistance was 8.00 ± 0.85 NCF and 10.70 ± 0.85 NCF and the bending strength was 486.94 ± 20.97 gf and 564.17 ± 20.97 gf for Tornado Blue and Race Evo, respectively. The results showed no significant difference in the mechanical properties followed by different sterilization protocols. However, a significant difference was observed in tested properties between the two file systems (p ≤ 0.05). The outcome is reassuring for clinicians that the essential process of routine sterilization at clinics seems safe with regards to mechanical integrity of the endodontic files.