bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Multi-timescale Scheduling Strategy for Residential Integrated Energy System
Authors: Gao Yang , Lu Siyue , Ma Longfei , Zeng Jiani , Zhao Yutong , Zhang Baoqun , Xu Hui , Yang Xiangyan , Yang Shaobin 
Published: November 2023

Abstract
In recent years, multi-energy complementation has been deepening, and the application rate of new energy sources has been increasing. A multi-timescale optimal scheduling strategy is proposed to mobilize the energy flexibility of residential integrated energy systems (RIES) and to reduce the negative impact of source-load forecast uncertainty on the scheduling plan. Firstly, for the energy supply structure of RIES, the operation constraint model of each energy hub equipment is established. Then, the optimal scheduling is divided into three stages: day-ahead planning, intra-day planning, and real-time planning, each of which will consider the volatility of source-load prediction and determine the operation status of the equipment according to its importance level. The experimental results show that the proposed multi-timescale scheduling strategy can ensure the economy while minimizing the deviation of the main grid power purchase in the real-time and day-ahead phases, providing a basis for the development of new energy capacity in the grid to grow to higher penetration rates.
Research on wind-solar-storage system optimal scheduling based on multi-objective particle swarm algorithm
Authors: Ru Huitong , Zhao Jisheng , Sui Yi , Huang Zhe , Chen Zhouyang , Fan Bo , Wang Bo 
Published: November 2023

Abstract
For the current problems that economic benefit and energy saving can not be considered in the existing optimal scheduling schemes of wind-solar-diesel-storage system, this paper proposes an optimal scheduling scheme of this system based on multi-objective particle swarm optimization. The mathematical models of active power output of wind turbines, solar turbines and energy storage units of wind-solar-diesel-storage system are established respectively. According to the historical data of wind power generation and photovoltaic power generation, the power prediction data of corresponding prediction models are adopted respectively On this basis, the objective function is constructed by minimizing the operating cost of the system and maximizing the wind-solar consumption ratio, and the system active power, energy storage battery capacity and diesel generator power are taken as constraints Using multi-objective particle swarm optimization algorithm to solve the output of each unit in the system. Simulation results illustrate the optimization scheme can well achieve the target of taking into account both economic benefits and energy saving in the optimal scheduling of wind-solar-diesel-storage system.
The Optimal Control Algorithm of the Integrated Energy System Based on Demand Response
Authors: Ye Siqi , Luo Jinman , Liang Haobo , Zhao Shanlong 
Published: November 2023

Abstract
As an important embodiment of energy diversification demand, comprehensive energy has been widely used. Aiming at the problem of system optimization for the dynamic characteristics of multi-energy networks in the integrated energy system, this paper established the integrated energy system optimization control model. It optimized the next-day system load curve based on the integrated demand response and verified the effectiveness of the algorithm in this paper. The results show that the algorithm model in this paper can improve the flexibility and economy of the system operation. It can ensure the safety of the integrated energy system operation. It can also effectively improve the economy of the system and reduce the system operation cost and promote the consumption of clean energy, which shows the effectiveness of the optimization control algorithm in this paper.
The Effect of Blade Coning on the Flow Field of Wind Turbines under Yaw Conditions
Authors: Lan Xingbo , Zhao Meng , Jia Zile , Sun Hao 
Published: November 2023

Abstract
Most wind turbines operate under yaw conditions, which can reduce the output power of wind turbines. In order to improve the power of wind turbines under yaw conditions, this paper adopts a method of blade taper to study its impact on the wind turbine flow field. A 2000W wind turbine is chosen as the research object and SOILDWORKS software is employed to establish a model of blade taper. Three cone angles of 4 °, 8 °, and 12 ° were used, and numerical simulations were conducted using STARCCM+. It is found that under 30 ° yaw conditions, the blade with a cone angle of 12 ° had the highest output power, followed by 8 ° and 4 °. Compared to 4 °, the output power of 12 ° and 8 ° increased by 2.32% and 5.99%, respectively. At the same time, appropriately increasing the blade cone angle can also reduce the dissipation of tip vortices and center vortices in the flow field. By analyzing the limit streamline diagram, it can be concluded that the vorticity at an 8 ° cone angle is less than the other two cone angles under 30 ° operating conditions. Therefore, in this simulation, the comprehensive performance of the 8 ° cone angle is better, which not only improves the output power under 30 ° yaw, but also makes the operation of the wind turbine more stable.
Research on Isolation Design of Ultra-High Voltage Converter Transformer
Authors: Yang Xu , Liu Zhenlin , Zhang Changhong , Li Weiguo , Wei Xiaoxing , Li Mingyang , Li Qiang , Huang Jiajie 
Published: November 2023

Abstract
To assess the performance of the bushings in UHV converter transformers, a finite element time analysis was performed on a ±800 kV UHV converter transformer with or without the implementation of horizontal seismic isolation devices. The simulation results show that the maximum stress response value of the root of the alternating current bushing is 68.96 MPa, when the horizontal seismic isolation device is not installed, and the stress response values of the root of the two direct current bushing are close, with 26.06 MPa and 25.89 MPa respectively; when the direct current bushing is not vertically arranged, the angle between the direct current bushing axis and the horizontal X-direction is smaller, the relative displacement response is smaller in the X-direction; After installing the horizontal with seismic isolation device, the stress at the root of the bushing is significantly reduced compared with the without seismic isolation results, and the peak stresses at the root of the alternating current bushing, direct current bushing-1 and direct current bushing-2 are reduced with seismic isolation: 72.17%, 51.76% and 51.49%, respectively, all of which meet the requirement of seismic isolation efficiency greater than 50%. The research results provide technical support for the seismic resistance of UHV converter transformers and promote seismic research and the seismic isolation level of power facilities.
Data-driven boiler efficiency and NOx characteristic variable selection and combustion optimization
Authors: Sun Ligang , Gao Xudong , An Chunguo , Miao Jingquan , He Shuai 
Published: November 2023

Abstract
In the process of comprehensively promoting carbon peak and carbon neutralization, thermal power units need to adapt to the needs of high efficiency and cleanliness, so as to play the role of ballast stone in the transformation and upgrading of energy structure. When the traditional analysis method can not be comprehensive, real-time and efficient analysis, the introduction of data science is an option. Therefore, this paper is based on the data-driven method to model and optimize the combustion of thermal power plant boilers. The second-order characteristic variable selection algorithm is used to screen the key variables of boiler efficiency and NOx emission. Based on the multi-objective optimization algorithm of NSGA-II, the pareto frontier solution and the optimal adjustable parameter setting under different boundary conditions are determined. The example shows that the optimization scheme proposed in this paper can effectively improve the efficiency of power plant boilers and reduce NOx emissions.
Design of Plastic Sealed Brushless Motor Controller Based on Hall Effect
Authors: Li Shengnan , Guo Jingjing , Lu Xiaohan , Liu Boyun , Shu Qi 
Published: November 2023

Abstract
With the rapid development of electronic technology, brushless DC motors (BLDCM) are widely used in various fields such as electronics, industrial control, and the medical field because of their high efficiency, noiselessness, and high speed. However, the traditional BLDCM has large torque and cannot accurately determine the rotor position information. Therefore, this paper proposes the use of a Hall sensor controller to control the BLDCM and carries out the hardware circuit design of the motor driver circuit, Hall circuit, power supply circuit, etc., and the program control of STM32, and carries out the software design of PWM interrupt subroutine, AD picking like the program, etc., to realize the Hall effect sensor. The control of BLDCM is carried out.
Functional verification of QSPI module based on UVM implementation
Authors: Li Haoqiang , Zuo Shikai 
Published: November 2023

Abstract
This article presents a novel functional verification methodology based on the Universal Verification Methodology (UVM) to validate the functionality of the Quick Serial Peripheral Interface (QSPI) module. QSPI serves as a prevalent serial communication protocol widely employed for high-speed data exchange with external flash devices. By using the code coverage and functional coverage reports provided by UVM, we were able to assess how well the test cases covered the design code, identifying the parts of the design that had been adequately tested and those that needed more test coverage. This verification method based on UVM provides powerful tools and technical support for the design and development of the QSPI module and effectively ensures its reliability and stability. This study is of great significance for further improving the design quality and verification efficiency of the QSPI module.
Research on the Recovery Technology of Damaged Characters Based on the Magneto-optical Method
Authors: Wang Haoyu , Shen Yao , Chen Ruili 
Published: November 2023

Abstract
This work intends to address the issue of surface damage to significant characters on ferromagnetic materials for the assessment of physical evidence. For the identification of altered metallic characteristics, a nondestructive magneto-optical imaging recovery approach based on the magneto-optical effect is presented. The results of the experiments demonstrate that the technique may successfully repair the damaged metallic features. It can be used as a nondestructive test for the examination and restoration of altered and damaged metal handwriting in criminal technology, which offers a fresh approach and method to deal with this issue.
Design and Implementation of Beam Control System Based on FPGA
Authors: Su Youbang 
Published: November 2023

Abstract
As the use of phased array technology becomes more widespread, it is receiving increased attention. Among them, the excellent performance of the beam control system will directly affect the performance of the whole phased array. FPGA is the preferred control chip for developing a beam control system. Therefore, this paper designs a beam control system architecture based on FPGA, designs the main functional modules of the system in detail, and conducts simulation experiments on its important functions. The results show that the system can quickly and accurately calculate the phase shift code required by the antenna unit to achieve fast beam response.
A detector system for `absolute' measurements of fission cross sections at n_TOF in the energy range below 200 MeV
Authors: Pirovano E. , Manna A. , Aberle O. , Amaducci S. , Colonna N. , Console Camprini P. , Cosentino L. , Dietz M. , Ducasse Q. , Finocchiaro P. , Massimi C. , Mengoni A. , Nolte R. , Radeck D. , Tassan-Got L. , Terranova N. , Vannini G. ,   the n_TOF collaboration
Published: November 2023

Abstract
A new measurement of the 235U(n,f) cross section was
performed at the neutron time-of-flight facility n_TOF at CERN. The
experiment focused on neutron energies from 20 MeV to several
hundred MeV, and was normalized to neutron scattering on hydrogen.
This is a measurement first of its kind at this facility, in an
energy range that was until now not often explored, so the detector
development phase was crucial for its success. Two detectors are
presented, a parallel plate fission chamber (PPFC) and a recoil
proton telescope (RPT), both dedicated to perform measurements in
the incident neutron energy range from 30 MeV to 200 MeV. The
experiment was designed to minimize statistical uncertainties in the
allocated run time. Several efforts were made to ensure that the
systematic effects were understood and under control. The results
show that the detectors are suited for measurements at n_TOF above
30 MeV, and indicate the path for possible future lines of development.
Airfoil friction drag reduction based on grid-type and super-dense array plasma actuators
Authors: FANG 方 Ziqi 子淇 , ZONG 宗 Haohua 豪华 , WU 吴 Yun 云 , LIANG 梁 Hua 华 , SU 苏 Zhi 志 
Published: November 2023

Abstract
To improve the cruise flight performance of aircraft, two new configurations of plasma actuators (grid-type and super-dense array) were investigated to reduce the turbulent skin friction drag of a low-speed airfoil. The induced jet characteristics of the two actuators in quiescent air were diagnosed with high-speed particle image velocimetry (PIV), and their drag reduction efficiencies were examined under different operating conditions in a wind tunnel. The results showed that the grid-type plasma actuator was capable of producing a wall-normal jet array (peak magnitude: 1.07 m/s) similar to that generated in a micro-blowing technique, while the super-dense array plasma actuator created a wavy wall-parallel jet (magnitude: 0.94 m/s) due to the discrete spanwise electrostatic forces. Under a comparable electrical power consumption level, the super-dense array plasma actuator array significantly outperformed the grid-type configuration, reducing the total airfoil friction drag by approximately 22% at a free-stream velocity of 20 m/s. The magnitude of drag reduction was proportional to the dimensionless jet velocity ratio (r), and a threshold r = 0.014 existed under which little impact on airfoil drag could be discerned.
Ion heat transport in electron cyclotron resonance heated L-mode plasma on the T-10 tokamak
Authors: KRUPIN V. A. , NURGALIEV M. R. , NEMETS A. R. , ZEMTSOV I. A. , SUNTSOV S. D. , MYALTON T. B. , SERGEEV D. S. , SOLOVEV N. A. , SARYCHEV D. V. , RYJAKOV D. V. , TUGARINOV S. N. , NAUMENKO N. N. 
Published: November 2023

Abstract
Anomalous ion heat transport is analyzed in the T-10 tokamak plasma heated with electron cyclotron resonance heating (ECRH) in second-harmonic extra-ordinary mode. Predictive modeling with empirical scaling for Ohmical heat conductivity shows that in ECRH plasmas the calculated ion temperature could be overestimated, so an increase of anomalous ion heat transport is required. To study this effect two scans are presented: over the EC resonance position and over the ECRH power. The EC resonance position varies from the high-field side to the low-field side by variation of the toroidal magnetic field. The scan over the heating power is presented with on-axis and mixed ECRH regimes. Discharges with high anomalous ion heat transport are obtained in all considered regimes. In these discharges the power balance ion heat conductivity exceeds the neoclassical level by up to 10 times. The high ion heat transport regimes are distinguished by three parameters: the

ratio, the normalized electron density gradient

, and the ion–ion collisionality

. The combination of high

, high

, and

−10 results in values of normalized anomalous ion heat fluxes up to 10 times higher than in the low transport scenario.
Contrasting responses of two typical plant communities to precipitation variability in horqin sandy land, northeast China
Authors: Yue Xiangfei , Lian Jie , Luo Yongqing , Zhang Tonghui 
Published: November 2023

Abstract
The ongoing modification of precipitation regime highlights the necessity to further investigate underlying vegetation processes. To figure out the key precipitation characteristics that largely affected the biomass and species richness of different plant functional groups in the semiarid sandy land, we compared the 15-year (from 2005 to 2019) variation in the aboveground biomass (AGB), precipitation use efficiency (PUE) and species richness of two typical biotopes (fixed dune and sandy grassland) in Horqin Sandy Land, a semiarid sandy land in northeast China. Results showed that the sandy grassland had higher AGB and PUE, lower species richness than the fixed dune; the annuals contributed 60.16% of the AGB and 60.32% of the species richness in sandy grassland, while contributed 53.40% and 75.77% in fixed dune, respectively; the AGB and species richness in the fixed dune had medium positive correlation with annual precipitation, while that in the sandy grassland had medium positive correlation with the total amount of specific rainfall events in the growing season (e.g. cumulative precipitation of 10–40 mm rain events and number of ≥ 10 mm rain event). There was no significant correlations were detected between PUE and annual precipitation, and weakly positive correlations were detected between PUE and amount and number of medium rainfall events in growing season. Our results suggested that the biomes dominated by annual plants were more responsive to the variability of growing season rainfall pattern rather than annual precipitation. In semiarid sandy grassland communities, the frequent medium rainfall events (5–50 mm) have significant role on the biomass, and the high species richness is likely to depend on the number of larger ones (≥ 10 mm). The AGB and species richness of grassland communities in semi-arid sandy land was the result of the combined effect of amount size, number and interval of rain event.
Process variables optimization for multiple responses in SPIF of titanium using Taguchi-GRA
Authors: Dutta Bibek Jyoti , Chandna Pankaj 
Published: November 2023

Abstract
In the modern era, titanium has gained global acceptance as a key material for innovative and significant applications in numerous industrial sectors, including aerospace, medical, automotive, and many more. In this work, optimization of process variables in Single Point Incremental Forming (SPIF) of titanium has been done using Taguchi-grey relational analysis to attain simultaneously improved geometrical accuracy and maximum microhardness in the formed parts of conical shape. The input parameters elected were step size (SS), feed rate (FEED), and tool rotation speed (TRPM) to explore their effects on geometrical accuracy (roundness and concentricity) and microhardness. Among the parameter levels considered in this work, 0.2 mm SS, 800 mm/min FEED, and TRPM of 600 have been recognized as the optimal setting. The Analysis of Variance (ANOVA) tests have been conducted to quantify the significance of SPIF parameters on the responses. The SS was revealed as the most influencing parameter, followed by FEED, and TRPM was the least significant parameter for the desired responses. The results of confirmation experiments have shown good agreement with predicted values of responses attained in Taguchi-Grey Relational Analysis.
A novel IoT based machine vision system for on-machine diameter measurement and optimization
Authors: Zende Rohit , Pawade Raju 
Published: November 2023

Abstract
The use of machine vision systems has been made user-friendly, cost-effective, and flawless by the rapid development in the fields of advanced electro-optical and camera systems, electronics systems, and software systems. One such application of machine vision systems in the field of manufacturing is the inspection of a semi-finished or finished component during an ongoing manufacturing process. In this study, the camera’s intrinsic and extrinsic parameters were maintained constant, while red, green, and blue light sources were employed to measure the component diameter using pixel analysis. A novel approach was used in an IoT-based machine vision system where, on the same image, the smartphone camera was calibrated and the image diameter of the component under study was measured, which was found to be quite accurate. Four different cases were used in the error analysis of image diameter, in which experimental results show that under blue light, the percentage pixel error span is the largest at 0.2624% followed by 0.1422% under green light and 0.0903% under red light. Further, the use of four different cases was followed by the ‘Weighted Sum Model’, which optimized the percentage errors in estimated actual diameter precisely and effectively, where outcome results showed that the approximate percentage errors were determined within 0.8% for blue light, 0.5% for a red light, and 0.1% for a green light. The proposed IoT-based machine vision system was found to be robust and effective for on-machine measurement.
Racial, Ethnic, and Sex Disparities in Mental Health Among US Service Members and Veterans: Findings From the Millennium Cohort Study
Authors: Sharifian Neika , Kolaja Claire A , LeardMann Cynthia A , Castañeda Sheila F , Carey Felicia R , Seay Julia S , Carlton Keyia N , Rull Rudolph P , Cohort Study Team for the Millennium 
Published: November 2023

AbstractAlthough disparities in mental health occur within racially, ethnically, and sex-diverse civilian populations, it is unclear whether these disparities persist within US military populations. Using cross-sectional data from the Millennium Cohort Study (2014–2016; n = 103,184; 70.3% male; 75.7% non-Hispanic White), a series of logistic regression analyses were conducted to examine whether racial, ethnic, and/or sex disparities were found in mental health outcomes (posttraumatic stress disorder (PTSD), depression, anxiety, and problematic anger), hierarchically adjusting for sociodemographic, military, health-related, and social support factors. Compared with non-Hispanic White individuals, those who identified as American Indian/Alaska Native, non-Hispanic Black, Hispanic/Latino, or multiracial showed greater risk of PTSD, depression, anxiety, and problematic anger in unadjusted models. Racial and ethnic disparities in mental health were partially explained by health-related and social support factors. Women showed greater risk of depression and anxiety and lower risk of PTSD than men. Evidence of intersectionality emerged for problematic anger among Hispanic/Latino and Asian or Pacific Islander women. Overall, racial, ethnic, and sex disparities in mental health persisted among service members and veterans. Future research and interventions are recommended to reduce these disparities and improve the health and well-being of diverse service members and veterans.