bluuebunny/crossref_metadata_2025_split huggingface dataset:
End Motion Path Analysis of Notched Variable Cross-section Flexible Manipulator Based on 3R Pseudo-Rigid Body Model
Authors: Zhang Liang , Wu Yifan , Zhang Qi 
Published: April 2023

Abstract
A wire-driven planar curved notched flexible manipulator with variable cross-section is designed. Based on the Bernoulli Euler beam equation, the end track and rotation angle of the notched flexible manipulator with variable cross-section after applying force is deduced theoretically. In addition, the 3R pseudo rigid body model is used to calculate the end track and rotation angle, and ABAQUS finite element analysis software is used for motion simulation. Then, MATLAB is used for post-processing to obtain the end track of the flexible manipulator. By comparing the track of the 3R pseudo rigid body model with the ABAQUS simulation track, the relative error is obtained. The conclusion proves that the 3R pseudo rigid body model can effectively simulate the end track of a notched flexible manipulator with variable cross-section after bending, which expands a new method for solving the complex end motion problem of a flexible manipulator with variable cross-section, and also broadens the applicable structure of the 3R pseudo rigid body model.
Research on Simulation Technology of Photoelectric Theodolite Based on Measured Infrared Image Sequence
Authors: Lei Hao , Ji Yu , Fu Feiya , Wen Yinghui 
Published: April 2023

Abstract
Infrared image simulation[1] is an effective means to test, train and evaluate photoelectric theodolite, which has very important economic and military value. To solve the problems of weak pertinence, low fidelity, and complex algorithm of traditional infrared image simulation technology, this paper proposes a new infrared simulation technology based on a measured image sequence. Through automatic background stitching, moving target detection and extraction, a real-time fusion of target background, and infrared image simulation of real target/background is realized. The experimental results show that the technique has high accuracy and good real-time performance, and provides reliable technical support for the performance evaluation and personnel training of photoelectric theodolite.
Lightweight Semantic segmentation method based on GhostNet and Atrous Spatial Pyramid Pooling
Authors: Liao Hengfeng , Yan Wei , Liu Deyu 
Published: April 2023

Abstract
Semantic segmentation is frequently utilized in computer vision projects like remote sensing picture segmentation, unmanned driving, and medical image segmentation. A lightweight semantic segmentation model is suggested by taking into account three components of the network - parameters, calculation, and performance - to address the issue of deploying embedded platforms with constrained processing power and hardware storage. Dual Attention is used with Atrous Spatial Pyramid Pooling (ASPP) to obtain precise relevant data utilizing the lightweight network GhostNet as the foundation, and to lighten ASPP’s computational burden, depthwise separable convolution is used. To obtain a distinct segmentation boundary, a multi-scale splicing technique is then used. With network parameters of 2.78106, a floating-point calculation of 1.931GFLOPs, and a MIoU of 72.13% in the experiments just on PASCAL VOC 2012, the model achieves an excellent compromise between computational efficiency and segmentation precision.
Distributed PV Management Based on Edge-cloud Computing Model of Smart Distribution Transformer Terminal Unit
Authors: Shao Yinchi , Zong Jin , Lin Jiayin , Chen Can 
Published: April 2023

Abstract
With the growing installation of distributed PV at a low voltage level and the resulting concerns about good power quality, power facilities see a greater need for energy management programs, especially for flexible distributed PV management. In the dawn of a new generation of ICT technologies, an edge-cloud computing model widely applied to smart distribution transformer terminal units (SD-TTU) is proposed to achieve lifecycle management of power facilities. Firstly, existing distribution management systems’ current practices and limitations are presented. According to the development trend, the reconstructed computing model involves three layers, and data interaction among the cloud layer, edge layer, and device layer is described. To support the huge scale of sensed data integration and transmission, the architecture of the edge node is established. Then the technical details for the distributed PV management are presented, including equipment configuration, main monitoring information, and specific procedures.
Analysis of Doubly-fed Wind Turbines Oscillation Considering the Influence of Wind Speed
Authors: Yang Dongju 
Published: April 2023

Abstract
The accepted models of wind turbine and generator, respectively, were used to investigate how wind speed affected the subsynchronous oscillation of Double-fed wind turbine. Secondly, the oscillation characteristics of output are analyzed in the model/simulation of the PSCAD / EMTDC platform. The energy consumed when the wind speed changes are mainly affected by the subsystem of wind turbine. Below rated wind speed, increasing wind speed can inhibit subsynchronous oscillation, and increase the stability of the unit. The wind speed on the sub-synchronous oscillation is small as higher than normal wind speed.
Static Analysis of Manipulator Based on Solidworks and ANSYS Workbench
Authors: Zhang Jinmin , Wang Lihong , Jing Li 
Published: April 2023

Abstract
China has gradually achieved a far leading position in the field of industrial robots. The application of robots in various fields has also been widely promoted. Therefore, the safety and reliability of robot work need to be further improved. This paper is mainly for the safety and reliability of the robot arm in the work. Based on Solidworks and ANSYS, the workbench performs a static analysis of a robotic arm with six degrees of freedom. Firstly, the three-dimensional model of the robot arm is established by Solidworks. And then, it is introduced into the ANSYS workbench to simulate the actual force situation to analyze the force of the robot arm and obtain the change law of the stress on each component and the deformation of the key structure during operation. According to the analysis results of ANSYS workbench software, the design of each component of the robot arm has a certain degree of reliability, which can lay the foundation for subsequent research such as motion control.
Research on Comprehensive Carrying Capacity Evaluation Indicator System and Optimal Dispatching of Active Distribution Network
Authors: Wang Wei , Li Huaqiang , Shi Wenjie 
Published: April 2023

Abstract
With the development of wind and solar power, the randomness and uncertainty of the power system have brought challenges to the optimal dispatching of active distribution networks. A dispatching model based on the comprehensive carrying capacity index system is proposed to improve the safety and stability of the active distribution network under uncertain factors and to excavate the potential of controllable resources. Firstly, the comprehensive carrying capacity indicator system is proposed from the three sides respectively, including network and load. Then economic optimal dispatching model is established on the basis of the indicator system. Finally, the model and its effectiveness are verified by the simulation analysis of the improved IEEE 33 nodes system by Particle Swarm Optimization.
Research on Harmonic Mitigation Strategy of Static VAR Generator Based on Frequency Adaptation
Authors: Gu Wen , Xu Haohui , Mei Rui , Zheng Chaohang , Jian YU , Wu Xi 
Published: April 2023

Abstract
Offshore wind farms are integrated into the power grid via AC submarine cables, which may cause severe harmonic problems and reduce the power quality of the grid. To address the problem of excessive harmonics in offshore wind power plants (WPPs), this paper proposes a method applying the static var generator (SVG) with frequency adaptive harmonic mitigation function to the offshore WPPs. Firstly, the SVG model and the mechanism of harmonic mitigation are investigated. Secondly, the proportional and resonant control strategy is proposed according to the internal model theorem and applied to the voltage control loop of SVG. The harmonic suppression performance of SVG is studied through the Bode diagram. Thirdly, to adapt to the uncertainty of harmonic frequencies, the recursive least-squares method is introduced to realize the real-time tracking of harmonic frequencies. And the harmonic compensation bandwidth of the SVG is broadened by adjusting the parameters of the controller. Finally, the offshore WPPs in Jiangsu are built based on the Matlab/Simulink platform to verify the effectiveness of the mitigation strategy. Compared with the LC filter, the improved method can effectively mitigate (inter-) harmonics and has strong robustness and adaptability.
Smart meter data transmission based on compressed sensing
Authors: Chen Wei , He Jiafeng , Cai Gaoyan , Luo Dehan 
Published: April 2023

Abstract
To achieve high-precision load recognition for residential electricity consumption and to solve the transmission problem of collecting large amounts of current data from household appliances by smart meters, a data transmission method based on compressed sensing is proposed to reduce data transmission costs. Firstly, a dictionary learning algorithm is used to sparsely represent the current data of household appliances, and the over-complete dictionary matrix is used as the sparse matrix; then a random Gaussian matrix is used as the measurement matrix for data transmission, and finally, regular orthogonal matching pursuit algorithm is used to complete the data reconstruction. The experimental results show that the reconstruction effect of this method is better than the traditional reconstruction method under the same compression ratio.
Current Harmonic Control Method of Wind Turbine Based on PIR Controller
Authors: He Liyuan , Zhou Chuanwei , Wu Lanjiang 
Published: April 2023

Abstract
Wind power equipment technology is the basis for the development of wind power generation. Aiming at the problem that the traditional PI controller is difficult to control the AC component of the current in the DQ axis, resulting in a large number of current harmonics in the process of power generation, which seriously affects the efficiency of power generation. This paper proposes a current harmonic control method for wind turbines based on a PIR controller. The mathematical model of wind power generation is constructed based on the synchronous rotating coordinate system. The current harmonic components are calculated according to the DQ rotor speed, shaft component, and other parameters. The PIR current harmonic controller is established by improving the ordinary PI controller to track and control the AC current signal. And finally, a current harmonic control target value is obtained according to different main control targets, and a specific harmonic component is eliminated. The experimental results show that the harmonic content is 3.12%, 2.06%, 1.17%, and 1. 02%, respectively, when the harmonic current order is 5, 7, 11, and 13. It is better than the comparison method. Therefore, this method can greatly reduce the harmonic content of the current in the process of different current orders, reduce the harmonic loss, and improve the generating efficiency of the unit.
Energy-saving street lamp system based on wireless sensor network
Authors: Hu Yubin , Wu Jian , Shi Heng , Shao Bo 
Published: April 2023

Abstract
The purpose of this paper is to design a smart street lamp controscheme that uses wireless sensor networks to meet the needs of smartcity construction and to create energy-saving street lamps. First, the traditional neural network algorithm is enhanced to make it simple to dynamically adjust the brightness of the lamp node with ambient light. Secondly, the wireless sensor network technology based on Zigbee communication and the LabVIEW host computer program were combined to create the intelligent street lamp system. Finally, the software and hardware tests were carried out to realize the dynamic adjustment, remote control and data transmission of street lights. The results show that the lamps controlled by neural network can flexibly adjust the light intensity according to the ambient lighting and traffic flow. This method enables intelligent adjustment and energy saving.
Influences of Ocean Environment on Sound Propagation Based on Bellhop Model
Authors: Yang Hui , Pang Xueliang , Jiang Pengfei 
Published: April 2023

Abstract
The actual marine environment is complex and changeable, and different marine environmental factors have an important impact on sound propagation. Based on the Bellhop model, this paper studies the sound propagation characteristics under different marine environmental factors, quantitatively analyzes the differences in the sound propagation characteristics when the seabed topography, sound velocity profile, and sound source emission angle change, and summarizes the impact on underwater sound propagation under different conditions, so as to provide a theoretical numerical basis for the ocean sound field in the actual complex environment, and further serve the research of the ocean sound field.
A Kalman Filter-based Method for Measuring the Spacing of Tiny Parallel Capacitor Plates
Authors: Hou Hanyu , Pu Kezhi , Jiang Jiaqi , He Hao 
Published: April 2023

Abstract
The method uses multivibrators composed of the 555 timer as the Tiny Polar Plate Pitch Capacitive Sensor, and programs the MCU to construct a discrete Kalman filter to filter the capacitance data, and then uses the arithmetic averaging method to obtain the fluctuating capacitance values at a fixed parallel plate pitch. Then, we use the capacitance data for “state estimation.” We first update the estimate of the state variable using the estimated real data of the previous moment and the observed real data of the current moment, and then predict the real parallel plate pitch for the next moment. Multiple measurements give enough data, which are very close to the real results using the Kalman filter [1]. After extensive experimental measurements, this method can achieve 99% accuracy within 0 mm to 5 mm.
Development of a list-mode data acquisition system for prompt X-ray imaging during irradiation with carbon-ions
Authors: Yamamoto Seiichi , Yabe Takuya , Akagi Takashi , Yamaguchi Mitsutaka , Kawachi Naoki , Kamada Kei , Yoshikawa Akira , Kataoka Jun 
Published: April 2023

Abstract
Prompt X-ray imaging using a low-energy X-ray camera is a promising method for observing the beam shape from outside the subject. However, such imaging has so far been conducted only on static images with relatively long acquisition times without any energy information. Consequently, we performed list-mode prompt X-ray imaging using a newly developed data acquisition system combined with a pinhole YAP(Ce) camera during irradiation of a water phantom with carbon ions. Prompt X-ray imaging was conducted in list mode with a 1-ms time stamp and 128-channel energy bins during irradiation of a water phantom with 241.5 MeV/n carbon ions. After the imaging, list-mode data were sorted to obtain the time-sequential prompt X-ray images and those with different energies. From the images with different energies, we found the energy spectra were different depending on the areas in the images, and the reduction of the background fraction was possible. From the short time-sequential prompt X-ray images, we could even observe the differences in the images depending on the acquisition times, as well as the spill and ripple shapes of the carbon ion beam.
Radial direction ultrasonic-vibration and laser assisted turning of Al3003 alloy
Authors: Deswal Neeraj , Kant Ravi 
Published: April 2023

Abstract
The utilization of various energy sources to assist the machining process has become prominent to obtain significant improvement in the machining performance. These energy sources have been utilized without using any cutting fluids which makes them eco-friendly. The combined action of laser and ultrasonic vibration energies during the turning process has shown significant achievement in machining process capabilities. Therefore, an attempt has been made to provide ultrasonic vibration in the radial direction and laser to preheat aluminium 3003 alloy simultaneously during the ultrasonic-vibration-laser assisted turning (UVLAT) process. Machining performance has been analyzed in terms of machining forces, machining temperature, chip morphology, surface damage, and surface roughness. A comparative machining performance analysis has been performed among the conventional turning (CT), ultrasonic vibration assisted turning (UVAT), laser assisted turning (LAT), and UVLAT processes. The outcomes of the present study revealed significant improvement in the machining performance for aluminium 3003 alloy during the UVLAT process. However, surface damage and surface roughness have been affected negatively during the UVLAT process due to the pin-point hammering and particle adhesion on the workpiece part. Hence, it can be said that the selection of vibration direction is a critical factor during the vibration machining processes.
Strengthening effect of El Niño on the following spring Indian Ocean warming with implications for the seasonal prediction of the Asian summer monsoons
Authors: Zhang Zhiyuan , Li Gen 
Published: April 2023

AbstractEl Niño induces a southwest Indian Ocean (SWIO) warming in decaying springs by forcing the slow-propagating downwelling oceanic Rossby waves south of the equatorial Indian Ocean (IO), which could exert a great influence on the subsequent South and East Asian summer monsoons. This brings the seasonal predictability to the regional monsoons. Here we identify a strengthening effect of El Niño on the following spring SWIO warming during 1948–2020. This is owing to the enhancing intensity and lengthening duration of the El Niño-related warm sea surface temperature anomalies over the tropical central Pacific in recent decades. In particular, this strengthening lagged effect of El Niño on the SWIO warming further results in more significant correlations between El Niño and the subsequent South and East Asian summer monsoons. Conceivably, this enhances the regional monsoon predictability, with potentially tremendous benefits for the socio-economic livelihood of billions of people living in the Asian monsoons.
Air Pollution and Cardiovascular and Thromboembolic Events in Older Adults With High-Risk Conditions
Authors: Nethery Rachel C , Josey Kevin , Gandhi Poonam , Kim Jung Hyun , Visaria Aayush , Bates Benjamin , Schwartz Joel , Robinson David , Setoguchi Soko 
Published: April 2023

Abstract
Little epidemiologic research has focused on pollution-related risks in medically vulnerable or marginalized groups. Using a nationwide 50% random sample of 2008–2016 Medicare Part D–eligible fee-for-service participants in the United States, we identified a cohort with high-risk conditions for cardiovascular and thromboembolic events (CTEs) and linked individuals with seasonal average zip-code–level concentrations of fine particulate matter (particulate matter with an aerodynamic diameter ≤ 2.5 μm (PM2.5)). We assessed the relationship between seasonal PM2.5 exposure and hospitalization for each of 7 CTE-related causes using history-adjusted marginal structural models with adjustment for individual demographic and neighborhood socioeconomic variables, as well as baseline comorbidity, health behaviors, and health-service measures. We examined effect modification across geographically and demographically defined subgroups. The cohort included 1,934,453 individuals with high-risk conditions (mean age = 77 years; 60% female, 87% White). A 1-μg/m3 increase in PM2.5 exposure was significantly associated with increased risk of 6 out of 7 types of CTE hospitalization. Strong increases were observed for transient ischemic attack (hazard ratio (HR) = 1.039, 95% confidence interval (CI): 1.034, 1.044), venous thromboembolism (HR = 1.031, 95% CI: 1.027, 1.035), and heart failure (HR = 1.019, 95% CI: 1.017, 1.020). Asian Americans were found to be particularly susceptible to thromboembolic effects of PM2.5 (venous thromboembolism: HR = 1.063, 95% CI: 1.021, 1.106), while Native Americans were most vulnerable to cerebrovascular effects (transient ischemic attack: HR = 1.093, 95% CI: 1.030, 1.161).
Evaluation of the updated SOCcer v2 algorithm for coding free-text job descriptions in three epidemiologic studies
Authors: Russ Daniel E , Josse Pabitra , Remen Thomas , Hofmann Jonathan N , Purdue Mark P , Siemiatycki Jack , Silverman Debra T , Zhang Yawei , Lavoué Jerome , Friesen Melissa C 
Published: April 2023

Abstract

Objectives
Computer-assisted coding of job descriptions to standardized occupational classification codes facilitates evaluating occupational risk factors in epidemiologic studies by reducing the number of jobs needing expert coding. We evaluated the performance of the 2nd version of SOCcer, a computerized algorithm designed to code free-text job descriptions to US SOC-2010 system based on free-text job titles and work tasks, to evaluate its accuracy.

Methods
SOCcer v2 was updated by expanding the training data to include jobs from several epidemiologic studies and revising the algorithm to account for nonlinearity and incorporate interactions. We evaluated the agreement between codes assigned by experts and the highest scoring code (a measure of confidence in the algorithm-predicted assignment) from SOCcer v1 and v2 in 14,714 jobs from three epidemiology studies. We also linked exposure estimates for 258 agents in the job-exposure matrix CANJEM to the expert and SOCcer v2-assigned codes and compared those estimates using kappa and intraclass correlation coefficients. Analyses were stratified by SOCcer score, score distance between the top two scoring codes from SOCcer, and features from CANJEM.

Results
SOCcer’s v2 agreement at the 6-digit level was 50%, compared to 44% in v1, and was similar for the three studies (38%–45%). Overall agreement for v2 at the 2-, 3-, and 5-digit was 73%, 63%, and 56%, respectively. For v2, median ICCs for the probability and intensity metrics were 0.67 (IQR 0.59–0.74) and 0.56 (IQR 0.50–0.60), respectively. The agreement between the expert and SOCcer assigned codes linearly increased with SOCcer score. The agreement also improved when the top two scoring codes had larger differences in score.

Conclusions
Overall agreement with SOCcer v2 applied to job descriptions from North American epidemiologic studies was similar to the agreement usually observed between two experts. SOCcer’s score predicted agreement with experts and can be used to prioritize jobs for expert review.
“Activists” contra democracy: the dangers of rightwing activism and its strategic disavowal
Authors: Banaji Shakuntala 
Published: April 2023

Abstract
The word activism tends to conjure different imagery depending on the institutional and geopolitical context. However, in left progressive circles it has usually connoted something challenging towards or resistant to injustice, and aligned with broadly progressive and democratic values. As recently as 2012, social media were being lauded as a new means of progressive social change in a bouquet of other tools against autocracy in the Global South. Based on original interviews over the past five years, this article outlines starkly, and from an intersectional socialist-feminist perspective, the dangers of allowing a warm fuzzy conception of activism to divert attention from the fascist politics being enacted online across vast swathes of the Global South, including in Brazil and India.