bluuebunny/crossref_metadata_2025_split huggingface dataset:
Adaptive Beamforming with Small Samples and Low Complexity for Large-Scale Arrays
Authors: Bi Yang , Liu Junhua , Hu Guoan 
Published: November 2023

Abstract
In this paper, we propose a novel adaptive beamforming method based on interference plus noise covariance matrix (INCM) reconstruction with few samples and low complexity. Unlike existing techniques, we make use of the fact that large-scale antenna arrays can significantly increase the spectral analysis’s resolution by estimating the steering vector (SV) and power of the interfering signal using the discrete Fourier transform (DFT). In addition, a simple spatial rotation operation is employed to resolve the power “leakage” problem of the DFT spectrum and increase estimation precision. The proposed method achieves a high output SINR by reconstructing an accurate INCM with the advantage of simple implementation and low computation complexity. Finally, we verify the effectiveness of the proposed method by numerical simulation and result analysis.
Error Evaluation Method of Capacitive Voltage Transformer Based on Improved Principal Component Analysis
Authors: Zhao Xijie , Wei Hongtao 
Published: November 2023

Abstract
The capacitive voltage transformer is an important data source for electricity trading and is easily influenced by environmental factors during operation, resulting in decreased metering accuracy. Because the voltage data does not satisfy the Gaussian distribution, the accuracy of the traditional principal component analysis method is poor when evaluating the error of capacitive voltage transformers. This paper proposes an improved principal component analysis method based on the local outlier factor. First, principal component analysis is utilized to separate the primary voltage fluctuation and error change. Then, a new statistic is established by using the local outlier factor instead of the traditional statistic as an evaluation standard, which reduces the missed diagnosis and misdiagnosis caused by the data distribution characteristics. The experimental results show that the improved method is better than the traditional method in terms of the detection rate of transformer anomaly detection, can effectively detect the abnormal change of transformer error and is more suitable for capacitive voltage transformers in operation.
Highly Sensitive SAW Pressure Sensor Based on Simply Supported Beam
Authors: Yang Yuntao , Peng Bin , Sun Zhaofeng , Huang Fei , Zhang Wanli 
Published: November 2023

Abstract
In this work, a SAW pressure sensor based on a simply supported beam was designed and fabricated. The SAW resonator deposited on 128° YX-lithium niobate (LNO) substrate was used as the sensing element. The LNO substrate was used as a simply supported beam, therefore strain transfer loss was avoided and uniaxial stress was directly applied to the SAW resonator. An indenter with two ledges was used to indent the LNO beam and then uniform strain was applied to the SAW resonator. The sensitivity was experimentally measured in a pressure range of 330 kPa. The results demonstrated that the sensitivity of the SAW pressure sensor in this work was as high as 2514 ppm/MPa. The high pressure sensitivity of the proposed SAW pressure sensor was analyzed. The device structure of the proposed SAW pressure sensor may help to design highly sensitive SAW pressure sensors.
Design of Charge Pump Circuit for Stepper Motor Drive Chip
Authors: Yao Yingying , Ren Guangjun 
Published: November 2023

Abstract
A charge pump circuit structure that can be applied to high-voltage drive circuits such as motor driver chips is proposed. The pump mode of the traditional circuit is changed based on the traditional charge pump, the output frequency of the oscillator is increased, and the capacitance area of the pump is reduced. The design and simulation of the proposed charge pump circuit are carried out based on HHG 0.35 um BCD technology. The simulation results show that when the simulation temperature is 27 °C and the clock cycle is set to 1 us, the voltageVin+5V can be stably output after 923 us, and the on-load current can reach 0.2 mA. The results meet the design requirements and provide a new way to solve this kind of problem.
A method for tracing impulse voltage peak value using weighted frequency components
Authors: Fan Jiawei , Long Zhaozhi , Li Wenting , Hu Kangmin 
Published: November 2023

Abstract
This paper studies a method for synthesizing impulse voltage peak error based on frequency energy weight. The research designed three capacitive voltage dividers with a voltage rating of 1 kV, 10 kV, and 200 kV, respectively, and measured their response characteristics using the step wave response test. The scale factor and linearity of the 1 kV capacitor divider were measured at different frequencies and impulse voltages to verify the equivalence of voltage coefficients under power frequency and impulse. Using boundary conditions obtained from AC voltage standard sources and impulse voltage standard generators, the equivalence of 200 kV power frequency voltage coefficient and impulse voltage coefficient was derived.
Research on Crosstalk Coupling of Trackside Cable in High Speed Railway
Authors: Zhang Huanji , Wang Guodong , Zhang Dan , He Xiaodong 
Published: November 2023

Abstract
The signal and power supply of trackside equipment in Chin’s high-speed railway is usually placed in the trackside trunking to avoid the influence of external harassing signals on the cable. However, due to the different voltage levels of the cables in the trough, strong and weak current cables will produce crosstalk coupling problems, which will affect the quality of train communication and running efficiency, and even endanger the safety of train running. Therefore, it is necessary to accurately analyze the crosstalk coupling problem between the cables in the trough. In this paper, the crosstalk coupling model of trackside cable is established. The Green function method simplifies the trackside trunking model, the crosstalk coupling of the cable in the trackside trunking and the electromagnetic field distribution in the trackside trunking are analyzed by using the method of moments (MOM), and the results of theoretical calculation are verified by simulation experiments.
Design of Active Closed-loop Driver Chip for SiC
Authors: Ke Jinkun , Feng Jinbo , Huang Yuchao , Guan Zhaoliang , Xu Hangyu , Zhao Ming 
Published: November 2023

Abstract
The SiC active control scheme mainly uses phased control, which makes the circuit implementation complex and unfavorable to design due to the need for detection circuits. And the longer feedback delay will affect the accuracy of the control. In this paper, a closed-loop driving SiC scheme is proposed. By integrating the driver circuit, protection circuit, and detection circuit on one chip, the SiC drive current is controlled by a staged control scheme, which can reduce the switching loss with low current and voltage overcharge. The specific circuit design uses Hua Hong BCD350GE technology, which mainly includes a power supply module, a feedback signal processing module, an Undervoltage protection module, a desaturation protection module, a logic control module, and a driver output module, and is verified by beat virtuoso simulation. Test results show that compared with Infineon driver chip 1EDS20I12SV, the switching loss of SiC is reduced by 25.75% when driving SiC at the same turn-off voltage, and the loss reduction is more obvious.
Multi-domain blind source separation in-band full-duplex technique considering RF impairments
Authors: Zhu Hong Yu , Wang Chao , Yuan Nai Chang , Huang Jing Jian , Wang Qing Ping 
Published: November 2023

Abstract
In-band full-duplex (IBFD) technology can potentially improve spectrum efficiency compared to half-duplex technology. The cancellation of the self-interference (SI) signal is the key to implementing the IBFD system to achieve accurate detection of the signal of interest. In this work, we fully account for the effect of IQ imbalance, phase noise (PN), additional Gaussian white noise (AWGN), and the nonlinear caused by the RF impairments of power amplifier, and adopt the method of canceling SI signal combined with the propagation, analog, and digital domain to cancel the SI signal, but the residual SI signal is still mixed with the signal of interest in the same time and frequency domain. In addition, a novel multi-domain blind source separation (MDBSS) self-interference cancellation method implemented by using the off-the-shelf components is proposed in this paper, which can realize the separation of residual self-interference signals from the signal of interest (SOI). Additionally, the multi-domain blind source separation (MDBSS) self-interference cancellation technique is used to achieve 75 dB of self-interference cancellation performance, which is proven through numerical simulation analysis, and the SOI is successfully separated in the receiver. Moreover, the multi-domain blind source separation (MDBSS) method in this paper can be applied to radar, jammer, and communication systems in the future.
Evaluation Method of the Power Grid Unbalance Factor under Cooperative Distribution of Photovoltaic and Energy Storage
Authors: Tuo Changjun , Wang Yifei , Han Yingqiang , Zhang Ning 
Published: November 2023

Abstract
With the rapid evolution of electrification, a number of asymmetric loads appear in the power system, making three-phase unbalanced pollution of the power grid increasingly serious. However, there are currently no comprehensive evaluation indexes to assess the unbalanced factor between power grids and customers, which makes it tough to locate and control unbalanced pollution sources. To solve the conundrum, the paper first summarizes the traditional assessment indexes and points out their shortcomings. Then, according to IEEE Std 1459-2010 power theory, the apparent fundamental power is represented by sequence components and propose a set of new evaluation indexes and methods of unbalanced factor. Finally, to verify the practicability and accuracy of the new indexes, simulation models of different wiring forms are constructed in MATLAB, and the simulation experiment results are analyzed. The results show that compared with the existing indexes, the new indexes can comprehensively reflect the unbalanced pollution factor of the system and the customer side under different wiring forms. They can be used to locate the unbalance sources and divide the unbalanced responsibilities.
Multi-target Localization Based on an Improved FOCUSS Algorithm with Missing Information
Authors: Huang Xiangsong , Yuan Jia , Pan Dapeng 
Published: November 2023

Abstract
The situation where the observation stations or the sensors cannot fully detect the targets is called missing information, which makes it difficult to locate targets. Due to its sparsity, Compressed Sensing (CS) can be applied to multi-target localization with missing information. An improved Focal Undetermined System Solver (IFOCUSS) algorithm is proposed, by dynamically updating the regularized factor that has a significant impact on the convergence of iteration processes. What’s more, a re-weighting method is adopted for the weighting matrix to improve convergence property and accelerate convergence, and a new method of choosing correct items from a sparse estimation vector is proposed to improve the positioning accuracy. Several simulations corroborate its notable reconstruction performance, which is illustrated by correctly estimating five targets with only 11 sensors on a moving station, achieving better convergence at lower signal-to-noise ratios (such as 12 dB) with about half the run time of Regularized FOCUSS (RFOCUSS) and being able to estimate two targets even with missing information up to 60%. Under the same conditions of missing information, IFOCUSS can estimate more targets with smaller positioning errors than RFOCUSS, achieving better convergence performance by eliminating almost all interference terms.
Multistep Prediction of Multiple Small Hydropower Stations’ Total Power in a Watershed within a Day Considering the Distributed Discharge TCN-LSTM Model
Authors: Xu Hongyi 
Published: November 2023

Abstract
First, this paper proposes that although the small hydropower group in the basin terrace as a whole uses the hydrological natural flow to generate electricity, the small hydropower except the first stage will also reuse a certain proportion of the small hydropower outflow and immediately upper stage, solving the problem of the relationship between the total power prediction of the small hydropower group and the hydrological natural flow prediction at all levels. Second, this paper proposes a satellite remote sensing monitoring point selection method based on topographic elevation to determine the increment of rainfall collection area above each small hydropower dam site, solving the correspondence between the source of the incoming flow of each small hydropower and the rainfall collection area above the dam site nested step by step, and the problem that each small hydropower is dividing the hydrological and natural flow of the whole basin according to the increment of rainfall collection area above the dam site. Third, this paper proposes a method that combines computational yield flow, deep learning simulation of sink flow, and fitting small hydropower generation equations, i.e., considering the distributed yield flow TCN-LSTM model (DR-TCN-LSTM), which solves the problem that the major part of the incoming flow except for the first level small hydropower is the reuse of the outgoing flow and the immediate upper-level small hydropower, which is treated by the immediate upper-level small hydropower, rather than the purely natural state product of the problem. In an example of an 8-step prediction of multiple small hydropower stations’ total power in a certain basin in Guangxi, China within a day, this paper proposes a Distributed Runoff TCN-LSTM Model (DR-BP-LSTM), and the Nash coefficient of the total power is 0.919. The Nash coefficient is increased by 0.02 due to the calculated discharge. In the selection of deep learning models, the Nash coefficient of the prediction model proposed in this paper is 0.02 more than DR-TCN-GRU and 0.011 more than DR-BP-LSTM.
A fiber Bragg grating vibration sensor based on crossed variable section beam
Authors: Fu Wanquan , Tan Zhongwei 
Published: November 2023

Abstract
This paper presents a triaxial vibration sensor that can be used for vibration acceleration detection. The main body of the elastic structure of the sensor is a variable section beam. The fiber Bragg gratings (FBG) are applied to the surface of the crossed variable section beam. The theoretical equation for the sensitivity of this sensor is given by the theoretical analysis of material mechanics. The simulation of modal analysis was carried out by means of the finite element method. The resonant frequencies of the proposed fiber Bragg grating triaxial sensor in the Z, X, and Y directions are 363.01 Hz, 466.34 Hz, and 466.82 Hz, respectively. Finally, the sensor was calibrated and tested in each direction of vibration, and the results showed that the sensitivity of Z, X, and Y directions were 6.66 pm/g, 4.61 pm/g, and 4.61 pm/g respectively, which proved that the FBG sensor has good sensing response for vibration in three directions.
Research on Common Fault Diagnosis of Mud Pump Based on Wavelet Packet Analysis
Authors: Lu Haozhou , Yu Menghong , Cai Bin 
Published: November 2023

Abstract
The utilization of vibration signals to diagnose faults in centrifugal pumps is a crucial research direction in this field. Traditional frequency domain processing methods, such as Fast Fourier Transform (FFT), may not be effective in analyzing complex signals where multiple types of faults occur simultaneously at the same frequency. This paper proposes the use of wavelet packet analysis as an alternative. By analyzing fault conditions caused by blade damage and clearance wear in a mud pump and comparing the results to those obtained through the FFT analysis method, the superior accuracy of wavelet packet analysis is demonstrated.
A Simple Patch Antenna with Enhanced Isolation Without Extra Structure
Authors: Zang Yiping , Li Weishan , Ma Jie , Xiong Xueyao , Fan Zhaoyu 
Published: November 2023

Abstract
A simple patch antenna with enhanced isolation and without extra structure is devised. The isolation is enhanced by 5 dB by loading two shorting pins, and the working frequency is not changed at 3.45 GHz. Radiation pattern is little changed after loading two shorting pins. There is no additional structure between the two antennas. Isolation is strengthened through the structure of the antenna itself.
Transformer fault diagnosis based on Chaotic Particle Swarm Optimization RBF Neural Network
Authors: Ge Aidong , Lei Jiakang , Sun Mingcan 
Published: November 2023

Abstract
This article uses logistic chaotic mapping to improve the particle swarm algorithm parameters and construct the chaotic particle swarm optimization (CPSO) algorithm. Then, the CPSO algorithm is used to optimize the width, weight, and center values of the Radial Basis Function Neural Networks (RBFNN) to improve the RBFNN model used to diagnose transformer fault types. Results show that the CPSO-RBFNN model has a small mean square error and high accuracy in diagnosing transformer faults.
Three-dimensional meteorological drought characteristics and associated risk in China
Authors: Zhou Zhiling , Ding Kaixi , Zhang Liping , She Dunxian , Chen Jie , Wang Gangsheng , Xia Jun 
Published: November 2023

Abstract
Drought as a hazardous natural disaster has been widely studied based on various drought indices. However, the characteristics of droughts have not been robustly explored considering its dual nature in space and time across China in the past few decades. Here, we characterized meteorological drought events from a three-dimensional perspective for the 1961–2018 period in the mainland of China, and attributed the variation of drought intensity to its influencing factors. We further assessed associated drought risk with socioeconomic data for the 2002–2018 period. We found that drought events with high intensity, large area, and long duration are mainly distributed in western and northern China, especially in Inner Mongolia, Xinjiang, Tibet, and Qinghai. The drought intensity and affected area anomalies present a six-phase pattern of ‘negative-positive-negative-positive-negative-positive’ during 1961–2018. The intensity of drought events showed a decreasing trend but the affected area and duration showed an increasing trend in 2009–2018. Over the decades, the centers of high drought intensity and long duration tend to move eastward and northeastward, respectively. The PET variations contributes larger than precipitation variations to drought intensity variations in the arid regions while being opposite in the humid southern regions. Drought risk assessment further indicates that high drought risk areas are concentrated in northern China, including Inner Mongolia, Xinjiang, Gansu, Sichuan, Hebei, and Heilongjiang. Increasing trends in drought risk for the 2002–2018 period are detected in Inner Mongolia, Xinjiang, Sichuan, Henan, Gansu, Hunan, Shanxi, Qinghai. Our findings provide scientific guidance for policymakers to develop adaptive disaster prevention measures.
The Role of Seed Users in Nurturing an Online Health Community for Smoking Cessation Among People With HIV/AIDS
Authors: Wang Xiangyu , Zhao Kang , Amato Michael S , Stanton Cassandra A , Shuter Jonathan , Graham Amanda L 
Published: November 2023

Abstract

Background
To nurture a new online community for health behavior change, a fruitful strategy is to recruit “seed users” to create content and encourage participation.

Purpose
This study evaluated the impact of support from seed users in an online community for smoking cessation among people living with HIV/AIDS and explored the linguistic characteristics of their interactions.

Methods
These secondary analyses examined data from a randomized trial of a smoking cessation intervention for HIV+ smokers delivered via an online health community (OHC). The analytic sample comprised n = 188 participants randomized to the intervention arm who participated in the community. Independent variables were OHC interactions categorized by participant interlocutor type (study participant, seed user) and interaction type (active, passive). The primary outcome was biochemically verified 7-day abstinence from cigarettes measured 3 months post-randomization; 30-day abstinence was examined for robustness.

Results
Logistic regression models showed that participants’ interactions with seed users were a positive predictor of abstinence but interactions with other study participants were not. Specifically, the odds of abstinence increased as the number of posts received from seed users increased. Exploratory linguistic analyses revealed that seed users wrote longer comments which included more frequent use of “we” and “you” pronouns and that study participants users used more first-person singular pronouns (“I”).

Conclusions
Seeding a community at its inception and nurturing its growth through seed users may be a scalable way to foster behavior change among OHC members. These findings have implications for the design and management of an OHC capable of promoting smoking cessation.
Total Sleep Deprivation Triggers a Compensatory Mechanism During Conflict Monitoring Process: Evidence From Event-Related Potentials
Authors: Chen Shufang , Song Tao , Peng Ziyi , Xu Lin , Lian Jie , An Xin , Shao Yongcong 
Published: November 2023

Abstract
Sleep deprivation impairs cognitive function and is accompanied by a simultaneous compensatory effect, one of the brain's capacities to maintain function in emergency situations. However, the time course of the compensatory effect is unclear. In this study, 22 male participants completed a pronunciation working memory task that included congruent and incongruent stimuli trials with EEG recordings before and after total sleep deprivation (TSD). Behavioral performance analysis showed that after TSD, the participants’ reaction time (RT) was shortened, but accuracy was reduced significantly. Analysis of event-related potential (ERP) results showed that the amplitude of N2 (an early visual ERP) was larger (i.e., more negative) after TSD than at baseline. A significant interaction between congruency and sleep condition was seen. Compared to that before TSD, the increase in amplitude of P3 (a stimulus-induced positive deflection component) under an incongruent stimulus was larger than that under a congruent stimulus after TSD. Moreover, a significant negative correlation was found between P3 amplitude and RT. Our results suggest that TSD impairs cognitive function. Meanwhile, the brain activates a compensatory mechanism after TSD, which is comprehensive during the conflict-detection and information-updating stages. This study provides a fresh viewpoint for understanding how TSD affects cognitive function.