bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Hybrid Algorithm of Ship Trajiectories based on Random Forest and K-Nearest Neighbor
Authors: Yang Fan , He Chunlin , Liu Yi , Zeng Anping , Hu Longhe 
Published: November 2024

Abstract
The technology for predicting ship trajectories is crucial in enhancing maritime efficiency, and ensuring maritime safety and environmental protection. This paper introduces a hybrid algorithm that combines Random Forest with the K-Nearest Neighbor method, and various machine learning techniques, such as Extreme Gradient Boosting, Support Vector Regression, and Random Forests, are explored and compared for ship trajectory prediction. On a public dataset, a Bayesian optimization-based training method was used and the model was evaluated by multiple evaluation metrics. The results show that a hybrid algorithm combining Random Forest and K-Nearest Neighbor performs well in predicting ship trajectories and significantly improves prediction accuracy and stability.
Research on the Prediction Model of Molten Steel Composition in Electric Arc Furnace
Authors: Liu Zhiyong , Zhu Rong , Wei Guangsheng , Xue Botao , Yang Lingzhi , Wang Hongbin 
Published: November 2024

Abstract
The content of C and P elements in EAF steelmaking molten steel directly affects steel quality. The main task of EAF steelmaking is to provide qualified molten steel for the refining process. The real-time composition prediction of molten steel in the smelting process will be helpful for EAF charging and other process operations. To solve this problem, based on the actual production data of a 150 ton EAF in a steel plant, this paper constructs a real-time prediction model of molten steel composition in EAF steelmaking with the help of the development tool Visual Studio 2022. The model can predict the content of C and P elements in molten steel in real-time, which can guide the addition of auxiliary materials and other process operations in the smelting process. The average deviation of endpoint C is less than or equal to 0.05%, and the average deviation of endpoint P is less than or equal to 0.007%.
Automated Surface Defect Detection Based on CycleGAN Model
Authors: Xu Youzhi , Wu Hao , Liu Yulong , Liu Xiaoming 
Published: November 2024

Abstract
Defect detection occupies an increasingly important position in the manufacturing industry, and most of approaches for the traditional defect detection are based on manual extraction of defective region traits and labeling work. This paper presents a novel defect detection approach based on Generative Adversarial Network (GAN) to automatically detect and extract defects from the target dataset. The method extends the samples using GAN model to solve the problem of insufficient samples in reality, and also provides paired samples for the second stage of defective pixel accumulation, after which the defective pixel images are output as binarized defect maps using difference accumulation and threshold segmentation. The experimental results verify that the proposed method can very accurately highlight the defects at the defect locations, and can be generated without manual labeling of defect traits.
Heliostat Field Optical Efficiency Calculation
Authors: Wang Xiangyang , Mao Zisen 
Published: November 2024

Abstract
The solar power tower technology has the advantages of green pollution-free and stable power generation, which has gradually attracted extensive attention from researchers in recent years. The quick computation of the solar heliostat field’s optical efficiency carries substantial potential for refining the design of the heliostat field, thereby enhancing the efficiency of power generation. Based on the parallel light hypothesis, we propose a fast algorithm designed to compute the optical efficiency of heliostat field. The algorithm takes into account various optical loss terms such as mirror reflectivity, cosine efficiency, shadowing and blocking efficiency, atmospheric transmittance efficiency and truncation efficiency. When calculating the shadowing and blocking efficiency, the “judgment rectangle” is used to quickly screen the candidate heliostat that may produce shadowing and blocking to the target heliostat. When calculating the truncation efficiency of the receiver surface, the strip discrete method and geometric projection method are used to quickly judge whether the reflected light is intercepted by the receiver, thus improving the calculation speed of optical efficiency. Consider a surrounding heliostat field as a test case, the proposed algorithm is compared with the conventional ray tracing, and the effectiveness and efficiency of the new algorithm are verified. The algorithm proposed in this paper has the advantages of accurate results and high calculation efficiency, and provides valuable insights that can be utilized for optimizing the design of heliostat field and improving the efficiency of tower solar thermal power generation.
Simulation and Analysis of Diffusion Process for Ammonia Leakages
Authors: Zhu Y Y , He J , Zhu H 
Published: November 2024

Abstract
Ammonia is a chemical widely used in the industrial production, but the leakage during storage and transportation can lead to serious health and environmental risks. This paper investigates the ammonia leakage diffusion process as represented by the Gaussian plume model using MATLAB. The spatial distribution, plane figure and iso-concentration line are analyzed to examine the effects of the height, wind speed and atmospheric stability on diffusion. The conclusion shows that the ammonia concentration and the hazard range steadily decrease with an increase in the effective height of the leaking source. As the wind speed increases, the intensity of turbulence increases, the concentration of the highest point decreases, and the scope of the hazardous area decreases. As the degree of atmospheric stability improves, the affected area gradually grows larger and the hazardous threat rises.
Establishment of Pile-soil Interaction Model and Optimization Analysis of Distance Diameter Ratio
Authors: Zhou Dayong , Du Chengze , Shang Jiaxin , Zhao Yi , Liu Mingdong , Yu Peng 
Published: November 2024

Abstract
The anti-skid pile is s an effective method for slope treatment. Analyzing its stress law and designing reasonable schemes are urgent problems that must be solved to guide slope prevention and control, and in this paper, combined with the original anti-skid pile reinforcement scheme, 5 pile-soil interaction models with different distance diameter ratios D/d are established. The anti-skid pile and slope are discretized, and the slope displacement and safety factor, pile stress and deformation, and soil arching effect between piles are numerically analyzed so as to optimize the design parameters of spacing diameter ratio of anti-skid piles. The results show that (1) the distance diameter ratio of anti-skid piles negatively correlates with the safety factor. When D/d>2.8, the slope safety factor is 2.011>2.0. (2) The peak shear force and soil arching effect of anti-skid piles are positively and negatively correlated with the distance diameter ratio, respectively. The reaction force of the anti-skid pile suddenly changes at the soil-rock interface about 10 m away from the pile top, and local reinforcement should be carried out when the anti-skid pile is designed and optimized. (3) Based on the analog data of displacement and safety factor changes, pile body stress, and soil arch stress between piles, and considering economic factors, the optimal distance diameter ratio D/d is determined to be 2.8-3.0. Compared with other methods, the optimization method proposed in this paper has reasonable theory and sufficient data. The research results will provide theoretical reference and engineering technical guidance for similar slope reinforcement with anti-skid piles, and have specific application and promotion value.
Differential Fast Fourier Transform Based Recovery Algorithm for Electricity Metering Data
Authors: Kong Xiangyong , Shi Desheng , Xu Yukun , Duan Yuwei , Liu Chang , Xu Zihan 
Published: November 2024

Abstract
Accurate electricity data is the foundation for time-of-use pricing. However, for various reasons, some data may be incorrect or lost. To address this issue, this paper proposes a recovery algorithm based on differential Fourier transform to restore missing metering data. First, the total electricity consumption data is differentiated and up-sampled as the interpolation sequence. Next, a Fourier transform is performed on the interpolated sequence to convert it from the time domain to the frequency domain. Zero-padding is applied in the high-frequency regions to enhance time-domain resolution. Then, the sequence is converted back to the time domain through an inverse Fourier transform, yielding the missing power consumption sequence. Finally, a proportional scaling method is applied to satisfy the non-decreasing characteristic. Numerical experiments demonstrate that the method proposed in this paper exhibits high reliability and accuracy in restoring missing electricity data.
Research on Channel Modeling Technology for Three Core Cables Based on Q3D
Authors: Zhu Enguo , Chen Kuixi 
Published: November 2024

Abstract
The modeling and analysis of power line channels are key to ensuring efficient and reliable power line carrier communication. In the past, the modeling of power line channels mainly relied on analytical methods to obtain unit length power line parameters. This method has a complex calculation process and requires high mathematical skills. This article presents a fast channel modeling method for three core cables. Firstly, the transmission function of a two port network with parallel cables as transmission lines is established. Then, a detailed scheme for extracting RLGC using Q3D software is proposed. Finally, the effectiveness of the proposed scheme is demonstrated through simulation analysis. This scheme is suitable for modeling complex shaped conductors and can reduce computational complexity, demonstrating significant advantages.
Improved Detuned Multiple-scales Method for the Forced Vibration of Strongly Nonlinear Oscillators
Authors: Du Hai-En , Zheng Jia-Xin , Ma Jian , Zhao Chen-Yang 
Published: November 2024

Abstract
A novel semi-analytical technique is introduced for examining the forced oscillations of systems with strong nonlinearity, by integrating the parameter-splitting technique with the detuned multiple-scales approach. This method leverages the benefits of parameter splitting, where system parameters are initially split using the parameter-splitting technique. Subsequently, the system with these splitting parameters is tackled using the detuned multiple-scales method. The analytical solution derived from the detuned multiple-scales method is then integrated into the equation of motion, with the aim of minimizing the cumulative error in the equation to ascertain the unknown parameters resulting from the splitting procedure. The efficacy of this proposed approach is demonstrated through the analysis of the forced vibrations of a Helmholtz-Duffing oscillator and a Duffing oscillator. The steady-state response is evaluated by comparing the frequency-response curves generated by the proposed method against those produced by numerical continuation and the traditional detuned multiple-scales method. Ultimately, through convergence checks, it is established that corrections are essential for erroneous solutions that are directly derived from the classical detuned multiple-scales method.
Rotor Airfoil Dynamic Stall Numerical Calculation in High Advance Ratio
Authors: Yuan Mingchuan , Niu Qingfeng , Chai Chunshuo , Fan Feng , Huang Shuilin 
Published: November 2024

Abstract
The characteristics of rotor airfoil dynamic stall in high advance ratio were investigated based on the CFD (Computational Fluid Dynamics)method. The unsteady RANS(Reynolds-averaged Navier-Stokes) equation and overset mesh method were used in CFD calculation, and the variation of Mach and attack Angle were simulated by transitional and pitching motion of the airfoil. The airfoil dynamic lift coefficient, moment coefficient, and flow field of airfoils at different rotor blade positions were analyzed, and the influence of flight parameters and airfoil aerodynamic shape was investigated by comparison with baseline conditions. The results show that the dynamic stall of the rotor airfoil at the retreating blade in a high advance ratio is mainly caused by the extension of trailing edge separation; reducing rotor lift in a high advance ratio by a suitable flight strategy is an effect way to reduce dynamic stall; rotor airfoil leading edge droop can reduce dynamic moment, but will lead to dragging increase and drag divergence Mach decrease, the negative peak of the dynamic moment is reduced by about 60%, the drag coefficient is increased by about 0.01, and the drag divergence Mach is decreased by about 0.01 in present computation.
Aeroacoustic Analysis of Rotor in Forward Flight Considering Blade Elastic Deformation
Authors: Li Zhibin , Sun Wei , Zhang Yuni , Zhang Zihan , Jiang Lusheng 
Published: November 2024

Abstract
A rotor aeroacoustic calculation model of the rotor in forward flight based on CAMRAD II and FW-H equation was established, which can involve blade elastic deformation. CAMRAD II was used to calculate the actual motion of the blade and the rotor’s unsteady aerodynamic load based on the elastic blade model. The blade dynamics module in the noise calculation program was replaced to consider the blade elastic deformation in forward flight based on the FW-H equation. The forward flight noise characteristics of a full scale rotor were researched. The research shows that the rotor has obvious torsion and flap elastic deformation. The blade elastic deformation has little effect on the directivity of noise in forward flight. In the main noise propagation direction, blade deformation affects the loading noise, resulting in a maximum variation of 3.0dB or more in total noise. In noise calculation, the accuracy of noise prediction can be improved by matching the position of the real blade tip.
Modeling and Analysis of Explosion Hazards of 280Ah Lithium-ion Battery based on Thermal Runaway principle
Authors: Yang Zhen , Zhong Jiahao , Zhang Jie , Qu Xiaohua , Zeng Xin 
Published: November 2024

Abstract
Analyzing the explosion hazards of 280Ah lithium-ion battery is helpful to provide an important basis for the safety performance evaluation and protection measures design of batteries. This paper proposes an analysis method that combines the thermal runaway theory and mathematical model of batteries. Firstly, a quantitative mathematical model for quantifying explosion hazards is established, and a dedicated experimental platform for battery explosion is constructed. Secondly, explosion experiments are carried out on batteries with 20%, 70% and 100% SOC. Finally, a detailed explosion heat release analysis and explosion hazards numerical simulation are carried out on the monitoring data collected during the explosion experiments. we have arrived at the following significant conclusions: the hazards of lithium-ion battery explosion exhibit a positive correlation with the SOC.
State-of-charge Estimation of All-vanadium Flow Battery Based on AH-UKF-KF
Authors: Tang Liangxing , Li Hongjiang , Kong Xiangfei , Xie Yanyi , Song Lihong , Li Panpan 
Published: November 2024

Abstract
As an essential parameter for the management and control of energy storage systems, accurately estimating the state of charge (SOC) of vanadium redox flow batteries (VRBs) is of great significance. Nevertheless, substantial errors still exist in SOC estimation. In this paper, the working principle of VRB is thoroughly investigated, the equivalent loss circuit of VRB is established, the pros and cons of various SOC estimation algorithms for VRB are comprehensively compared, and the AH-UKF-KF algorithm is proposed by fusing the Kalman correlation derivation algorithm with the ampere-hour integration (AH) method. Firstly, the algorithm employs the AH and UKF to estimate the SOC, and then uses the two outcomes as the input of KF to obtain the final SOC results. Finally, the 5kW/30kWh all-vanadium flow battery platform is utilized to verify the accuracy and reliability of the algorithm.
A Spinning Magnetometer Based Approach to Solving the Roll Attitude of Aerial Vehicle
Authors: Peng Tongxing , Ming Chao , Yu Jiyan , Wang Xiaoming 
Published: November 2024

Abstract
The accurate attitude estimation is the foundation of autonomous flight control for unmanned aerial vehicle (UAV). However, the existing inertia/magnetic field-based roll attitude estimation presents challenges, including the significant computational burden and high cumulative error. To address these issues, this paper proposes a novel roll attitude estimation approach for UAV based on spinning single-axis magnetometer. Firstly, a distinctive rotating measuring mechanism is structured by incorporating the encoder and geomagnetic sensor. Then, the rotating angle of the sensor in relation to the UAV is ascertained with the specific output signal of the geomagnetic sensor with the rotating mechanism. Based on the above, a roll attitude estimation model to be established with the relative angle relationship. Finally, comparative simulations are conducted to demonstrate the feasibility of the presented method. The suggested design method provides a rapid and cost-effective way for roll attitude estimation.
Research on the development of recycling technology for magnesium refractory materials
Authors: Hao Chunlai , Yu Linhui , Chen Xuedong , Chen Yunzhu , Li Changsheng , Qi Pengyuan , Sun Jiani , Zhou Hongbing 
Published: November 2024

Abstract
Magnesium refractory materials are rich in substances such as alumina and magnesium oxide, and the recycling and reuse of their waste is an important way to achieve energy conservation, environmental protection, and sustainable development of mineral resources. This article analyzes and elucidates the current recycling and utilization technologies of refractory materials from the perspectives of refractory waste used in desulfurization mixing heads, recycled magnesia carbon brick refractory materials, magnesia calcium brick refractory materials, and blast furnace lining refractory materials. By analyzing the key issues in the recycling and utilization technology of Magnesium refractory waste, important references are provided for the development direction of deep processing of high-quality refractory recycled products.
Interpreting the Everyday
Authors: Bingham Adrian 
Published: November 2024

Abstract
The first chapter examines the development and proliferation across the twentieth century of attempts to map, measure, and record ordinary life and public opinion, from the rudimentary anecdotal methods of pioneering journalists and social investigators to the highly sophisticated survey techniques developed by pollsters and political scientists from the 1960s. It explains that despite the search for ever greater rigour and accuracy, it is not possible to study people in ways that are entirely objective, neutral or infallible and argues that we need to understand the nature, motivations, and methods of the various organizations and groups involved in gathering evidence about patterns of political behaviour before we draw on their data. It also highlights that attempts to scrutinize and record people’s attitudes and behaviour influenced what they sought to measure. The work of pollsters, social scientists, and journalists made citizens more self-reflexive, more attuned to how individual views relate to broader currents of opinion, and more aware of how others were trying to interpret their behaviour through different social classifications and concepts.
The Structures and Practices of Everyday Politics
Authors: Bingham Adrian 
Published: November 2024

Abstract
The second chapter fleshes out the idea of ‘everyday politics’ by investigating the various spaces and occasions where political interactions took place, and the codes and assumptions governing them. Of central importance is the home, and the chapter considers the varied dynamics between different family members, and especially between parents and children, and shows how long-lasting these influences could be. It examines other significant spaces including educational establishments, the workplace, religious environments, and places of sociability. It shows that while political discussion was often disliked or even actively marginalized, it inevitably burst into the open at particular moments.
Building Democracy, 1918 to Mid 1930s
Authors: Bingham Adrian 
Published: November 2024

Abstract
This chapter covers the period from the end of the First World War until the mid 1930s, and examines how ordinary voters responded to the new political environment created both by the extensions of the franchise in 1918 and 1928 and the emergence of the Labour Party as the main rival to the Conservatives. It shows that in a period of economic dislocation and strained industrial relations, class became more central to the way many people understood politics, especially in large urban areas. Although the Labour Party expanded its support sufficiently to form minority governments in 1924 and 1929, it was unable to make major breakthroughs outside areas of heavy unionization, and the media and social environments made challenging the Conservatives on equal terms difficult. Many working people continued to trust the Conservative Party’s management of the economy, and accepted the conventional frame that it was necessary for the government to tighten belts and control budgets in a depression.
Diversifying Democracy, Mid 1950s to Early 1970s
Authors: Bingham Adrian 
Published: November 2024

Abstract
This chapter shows that the electoral dynamics of the 1940s—often taken as the starting point for political science models of class alignment—did not last long. Class identities evolved significantly as prosperity increased from the mid 1950s, and the Conservative Party revived its fortunes by combining a broad acceptance of the welfare state and the mixed economy with a persuasive language of affluence and aspiration, which was particularly appealing to female voters. Labour, under the leadership of Harold Wilson, also updated its image to try to connect to voters, although both parties struggled to satisfy rising expectations at a time when people were becoming less inclined to defer to authorities and established ways of life. Britain was becoming more socially and culturally diverse, with youth subcultures challenging the status quo and immigration from the West Indies, South Asia, and Africa bringing new, and often critical, perspectives on British political thinking and practices. In Wales and Scotland, nationalist parties became more prominent. The Wilson government reduced the voting age to 18, but no party was especially successful in generating political enthusiasm among young people. Many ethnic minority voters remained alienated by the mainstream parties, particularly in the context of inflammatory rhetoric about the social ‘problems’ caused by immigration. Proposals to devolve some political power to assemblies in Scotland and Wales failed to gain approval. The British political system found it hard to integrate the new forces that were reshaping society.