bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design and analysis of a decoupled three‐phase coil array for inductive power transfer systems
Authors: Almulla Osama A. , Thrimawithana Duleepa J. , Covic Grant A. , Kim Seho 
Published: August 2024

AbstractThis article details the design process for a new three‐phase coil array. All of the coils are made to be mutually decoupled from one another which is achieved by introducing a high reluctance path in the ferrite structure for mutual flux using an airgap in addition to controlling the coil overlap. Simulation and experimental results of a matched three‐phase primary and secondary coupler, designed using the proposed novel decoupling mechanism, are presented to show that the high reluctance path introduced to decouple the coils still allows the main couplings to be maintained within an acceptable range. In contrast, negligible interphase couplings between coils in the primary or secondary were observed. Effective coupling, voltage and uncompensated power measurements are shown to verify the design is able to meet SAE J2954 WPT3 requirements. Finally, the leakage magnetic flux density, simulated under WPT3 conditions, shows that its RMS value remains significantly less than 27 µT at a 800 mm distance from the centre of the secondary coupler.
Radar detectability of light aircraft micro‐Doppler modulation
Authors: Berndt Robert John , Abdul Gaffar Mohammed Yunus , Nel Willem Andries Jacobus , O’Hagan Daniel W. 
Published: August 2024

AbstractThe critical role of specifying micro‐Doppler mode performance in the modelling and development of modern radar systems is investigated. The authors focus on the detection of micro‐Doppler modulation from light aircraft, analysing data from eight helicopters and nine propeller aircraft. With the growing need for accurate target classification in radar technology, incorporating micro‐Doppler detection metrics into radar performance specifications has become increasingly important. This research offers a novel approach to measuring the detectability of micro‐Doppler modulation relative to returns from the main fuselage. The investigation covers the impacts of various preprocessing techniques, polarisation, and aspect angle on detection capabilities. Findings reveal that, on average, micro‐Doppler modulation from propellers is detectable at distances between 50% and 100% of the range at which the fuselage is detected. For helicopters, this range decreases to between 30% and 80%. Additionally, the study introduces empirically derived statistical models designed to predict micro‐Doppler detection ranges in relation to fuselage returns, enhancing the predictability and specificity of radar system performance. This novel contribution presents a basis for improving radar system specifications, leading ultimately to more predictable and reliable light aircraft classification.
Effect of temperature anisotropy formed by fast electron beams moving in the flare loop on its excited electron-cyclotron maser instability
Authors: Tang J. F. , Wu D. J. , Chen L. , Tan C. M. , Wang J. B. 
Published: August 2024

Context. The electron-cyclotron maser instability (ECMI) is a significant coherent radio emission mechanism widely utilized in various astrophysical radio phenomena. It is well known that the velocity anisotropic distribution of energetic electrons, which leads to an inverted perpendicular population in the vertical direction with ∂fb/∂v⊥ > 0, can provide the free energy necessary for the ECMI.
Aims. The initial velocity distribution of energetic electrons leaving the acceleration region is typically isotropic or beam-like. However, as these energetic electrons travel along the magnetic field as fast electron beams (FEBs) in magnetic plasma, various velocity anisotropic distributions can emerge. In this paper, we examine the impact of temperature anisotropy formed by beam electrons traveling along a flare loop on the ECMI.
Methods. By neglecting the energy loss of energetic electrons as they traverse the corona and invoking the conservation of energy and magnetic moments, we established the relationship between momentum dispersion and the magnetic field. Utilizing the magnetic field model of the flare loop, we calculated the evolution of momentum dispersion and the growth rates of the ECMI as FEBs precipitate along the flare loop.
Results. The results demonstrate that the temperature anisotropy arising as FEBs descend along the flare loop significantly impacts the ECMI. The maximum growth rates of the excited modes exhibit a gradual increase initially and then decline rapidly after reaching a critical height for β0 = 0.2c and 0.15c. The results also show that the growth rates of the O2 mode are one order of magnitude smaller than those of the O1 and X2 modes. This indicates that the harmonic radiation is X-mode polarized. Notably, the temperature anisotropy of FEBs as they precipitate along the flare loop with different magnetic field models or at different heights has similar effects on the ECMI.
Bayesian self-calibration and imaging in very long baseline interferometry
Authors: Kim Jong-Seo , Nikonov Aleksei S. , Roth Jakob , Enßlin Torsten A. , Janssen Michael , Arras Philipp , Müller Hendrik , Lobanov Andrei P. 
Published: August 2024

Context. Self-calibration methods with the CLEAN algorithm have been widely employed in very long baseline interferometry (VLBI) data processing in order to correct antenna-based amplitude and phase corruptions present in the data. However, human interaction during the conventional CLEAN self-calibration process can impose a strong effective prior, which in turn may produce artifacts within the final image and hinder the reproducibility of final results.
Aims. In this work, we aim to demonstrate a combined self-calibration and imaging method for VLBI data in a Bayesian inference framework. The method corrects for amplitude and phase gains for each antenna and polarization mode by inferring the temporal correlation of the gain solutions.
Methods. We use Stokes I data of M87 taken with the Very Long Baseline Array (VLBA) at43 GHz, pre-calibrated using the rPICARD CASA-based pipeline. For antenna-based gain calibration and imaging, we use the Bayesian imaging software resolve. To estimate gain and image uncertainties, we use a variational inference method.
Results. We obtain a high-resolution M87 Stokes I image at 43 GHz in conjunction with antenna-based gain solutions using our Bayesian self-calibration and imaging method. The core with counter-jet structure is better resolved, and extended jet emission is better described compared to the CLEAN reconstruction. Furthermore, uncertainty estimation of the image and antenna-based gains allows us to quantify the reliability of the result.
Conclusions. Our Bayesian self-calibration and imaging method is able to reconstruct robust and reproducible Stokes I images and gain solutions with uncertainty estimation by taking into account the uncertainty information in the data.
Model-independent cosmographic constraints from DESI 2024
Authors: Luongo Orlando , Muccino Marco 
Published: August 2024

Context. We explore model-independent constraints on the Universe kinematics up to the snap and jerk hierarchical terms, considering the latest baryon acoustic oscillation (BAO) release provided by the DESI collaboration.
Aims. We intend to place novel and more stringent constraints on the cosmographic series, incorporating three combinations of data catalogs: the first made by BAO and observational cosmic chronometers, the second made by BAO and type Ia supernovae, and the last including all the cited data sets.
Methods. Considering the latest BAO data provided by the DESI collaboration and tackling the rd parameter to span within the range [144,152] Mpc, with a fixed step of δrd = 2 Mpc, we employed Monte Carlo Markov chain analyses based on the Metropolis algorithm to fix novel bounds on the cosmographic series, fixing the deceleration, q0 , the jerk, j0 , and the snap, s0, parameters, up to the 2σ level. A comparison between the results of the Planck satellite with those obtained by the DESI collaboration is also reported.
Results. Our findings showcase a significant departure in terms of j0 even at the 1σ confidence level, albeit compatible with the ACDM paradigm in regard to q0 and s0 at the 2σ level. Analogously, the h0 tension appears alleviated in the second hierarchy when including snap.
Conclusions. Our method excludes models that significantly depart from the standard cosmological model. Particularly, direct comparisons with the ACDM and wCDM models and the Chevallier-Polarski-Linder parameterisation are explored, which definitively favour the wCDM scenario over other approaches, contradicting the findings of the original DESI collaboration.
Evidence-based social science: why, what, and future implications
Authors: Yang Wendeng 
Published: August 2024

AbstractMankind has always relied on “practical wisdom” in the sense of Aristotle to change people and society. However, practical wisdom is difficult to accumulate and pass on from generation to generation. Therefore, although “natural engineering” that is consistent with “natural technology” can be used effectively to transform the natural world, using “practical wisdom” to change people and society remains difficult. Solving this dilemma requires an effective means to separate “social science”, “social technology”, and “social engineering” to accumulate and inherit “knowledge of changing people and society” similar to other types of scientific knowledge. Today, the prevailing evidence-based social science is the opposition and unity of laws of nature and free will, truth-seeking and goodness-pursuing, individual wisdom and collective wisdom, autonomy and supervision, the universal and the special in practice. The emergence of this concept allows for the possibility to enhance the effectiveness of social science practice.
Influence of hybrid nanofiller on elastic behavior and stiffness of basalt/E-glass MWCNTs/SiO2 hybrid nanocomposites
Authors: Boobalan V. , Sathish T. , Giri Jayant , Rahaman Mostafizur 
Published: August 2024

Sustainable material development techniques help in finding and employing sustainable materials without compromising quality. Composite materials are crucial in structural design, automotive manufacture, and aeronautical engineering. Advanced materials that use reinforcement and filler ingredients must be developed strategically to improve strength and performance. Hence, this study develops hybrid nanocomposites with hybrid nanofillers (MWCNTs and SiO2) and hybrid fibers (basalt and E-glass) and optimizes the competition to maximize elastic behavior and stiffness. Using a hand layup approach, composite samples were made by altering mass fractions of two filler materials (0%, 1%, 1.5%, and 2% by weight) and epoxy matrices (40%, 38%, 37%, and 36%). Shore D hardness and dynamic mechanical analysis (DMA) were used to evaluate the composites. The storage modulus, loss modulus, and damping coefficients are examined using DMA. Specifically, the largest storage modulus is 4.86 × 1010 Pa at 61 °C, while the peak loss modulus is 1.01 × 1010 Pa at 80 °C. The highest damping coefficient is 0.25. Note that 1.5% MWCNTs and SiO2 filler materials independently contribute to the excellent storage and loss modulus. However, an outstanding damping coefficient was achieved without filler materials. The highest achieved shore D hardness value is 88. Filler materials are used to achieve this high hardness.
Dual receiver series topology for bipolar segmented DWPT system
Authors: Zou Yaqiang , Xu Tian , Li Zhong , Qiang Hao 
Published: August 2024

For a segmented dynamic wireless power transfer (DWPT) system, when electric vehicles (EVs) move over two adjacent transmitting coils, the received power fluctuates greatly and has some loss. Arming at this problem, this paper proposes a dual receiver segmented DWPT topology to reduce the received power fluctuation of the receiving coil passing through the rail junction during the moving process of the EV. Through magnetic field analysis in this paper, tuning the current phase difference between two adjacent transmitting coils to 180° can enhance the magnetic field. In this paper, a dual receiver series topology (DRST) is designed to pick up power, which consists of four fully controlled components and four diodes. According to EVs’ real-time position, the segment DWPT system has three working modes and six working states under the control of DRST. Finally, experiments are carried out. Compared to the single-receiving-coil system, DRST is effective in improving the average output power from 2.007 to 5.657 W and significantly reducing the power fluctuation.
Effects of rumen-protected fat on performance, carcass and meat characteristics, and feeding behaviour of Nellore bulls finished in intensive grazing systems
Authors: Silva Edjane Pereira da , Zervoudakis Joanis Tilemahos , Sousa Osvaldo Alex de , Fonseca Mozart Alves , Pereira Danilo Vinicius da Silva , Dutra Franciely de Oliveira , Monge Emanoelly Auxiliadora Paes , Silva Vitória de Almeida e , Mata Deborá Kemelly Xavier da , de Paula Nelcino Francisco 
Published: August 2024

Context Beef cattle production in the tropics is based on the grazing system. Concentrate supplementation has a significant influence on carcass gain and meat quality. Additionally, the inclusion of some lipid feedstuffs, such as rumen-protected fat (RPF), can increase the net energy for weight gain, and be an alternative to increase the productive performance and carcass traits of grazing beef cattle. Aims This study evaluated the effects of RPF on performance, carcass traits and feeding behaviour of Nellore bulls in an intensive grazing system during the rainy season. Methods Twenty-four Nellore bulls (initial bodyweight of 454.0 ± 46.1 kg) were used in a randomised completed block design, based on initial bodyweight. The animals were distributed in 12 paddocks (two bulls per paddock) in a continuous grazing system and randomly assigned to one of two treatments: control (n = 6), a concentrate without added protected fat provided ad libitum, and RPF (n = 6), a concentrate with the addition of 3% protected fat (Nutricorp, Araras, São Paulo, Brazil) provided ad libitum. Statistical analysis was performed using the MIXED procedure of SAS 9.4 with paddock as the experimental unit (12 paddocks). The principal model included fixed effect of treatment and block as a random effect. For forage characteristics, the experimental period was a considered fixed effect. The study lasted 105 days, and was divided into four periods. At the end of each period, forage collections were performed, bulls were weighed and feeding behaviour was recorded. After 105 days, the bulls were slaughtered in a commercial slaughterhouse, and three 2.54-cm Longissimus dorsi steaks of each animal were collected to evaluate the colour, the chemical and physical composition, and the sensory analysis of the meat. Keys results The inclusion of RPF in the concentrate did not affect (P > 0.05) the final bodyweight, average daily gain, concentrate intake and feed efficiency, but there was a tendency (P < 0.07) for higher carcass weight for the bulls that received RPF. Bulls supplemented with RPF had a greater (P < 0.05) average carcass gain. For meat quality, an effect (P < 0.01) was observed for hue (25.32 and 27.91 for control and RPF, respectively). Conclusions The addition of 3% RPF in the concentrate ration has the potential to improve carcass traits and meat quality of beef cattle in an intensive pasture finishing system. Implications The inclusion of RPF will increase dietary energy density of grazing beef cattle with a tendency to increase carcass gain. This can be an opportunity to increase the production per animal and income of farmers.
Optimization of electrical control equipment interface layout with cognitive load based on pso algorithm
Authors: Zhang Ting , Liu Ruizhi , Sun Liang 
Published: August 2024

Abstract
Addressing the complexity of current impregnation machine electrical control interfaces, this study proposes optimization methods for their layout design. It incorporates factors affecting cognitive load during interface interaction, formulating three principles: highlighting essential elements, operation sequence, and element relevance. These principles guide the construction of a mathematical model for the optimization of electrical equipment control interface layouts. The Particle Swarm Optimization algorithm is applied to solve the model’s objective function, producing optimized layouts, which are then validated through eye-tracking experiments. The results demonstrate the method’s effectiveness in optimizing control interface layouts, aligning with operators’ intuitive logic.
The effect of the structure of a water distribution pan in an evaporation drum on a flake ice machine
Authors: Zhou Qiang 
Published: August 2024

Abstract
Through experimental research, the performance of the flake ice machine under different structures of the water distribution pan was comparatively analyzed to enhance performance and optimize the design of the water distribution pan in the evaporation drum. An experimental bench for testing the performance of the flake ice machine was constructed, and the optimal scraping cycle under varying water distribution pan structures was determined. The results revealed a 33% improvement in the ice-making area within the water distribution pan structure, along with a 17.5% reduction in power consumption per unit of ice production, achieved through the optimal operational conditions of the flake ice machine using R404A as the refrigerant. Furthermore, the dry area was enhanced by 40%, leading to an 8% reduction in power consumption per unit of ice production. Notably, for this flake ice machine, the optimal ice-making drying ratio was found to be 1.6.
Fuzzy-pid control design of biped robot based on motion capture technology
Authors: Fu Rongchang , Yu Jinan , Yang Xiaoyu 
Published: August 2024

Abstract
To improve the precision of the biped robot’s walking control system, a fuzzy PID controller with a variable theory domain was added to the design of the biped robot’s lower limb control system to optimize the tracking process of joint angular displacement and improve the motion effect. Firstly, the motion capture experiment is carried out to obtain the angular displacement data of the joint. The theoretical angle was calculated according to the biped robot’s lower limb diagram model and kinematics equation, and the expected trajectory was obtained by simple gait planning and using MATLAB to verify the validity of the angle parameters. Then the fuzzy PID controller of the lower limb joint was established, and the variable theory domain fuzzy controller was established by introducing the expansion factor. Finally, the Simulink test bench is built to simulate the two controllers, and the expected data and simulation data are compared. The results show that the error range of the variable theory domain fuzzy controller is only ±2°, and the variable theory domain adaptive fuzzy controller can accurately track the desired trajectory, reduce the joint angular displacement error of the biped robot, ensure the precision and stability of the biped robot motion, and basically meet the requirements of practical production.
A comprehensive investigation into the vibration fatigue characteristics of safety hangers for metro vehicles
Authors: Zeng Qihang , Zhang Fubing , Tan Guanglin , Chen Fuxing , Chen Qing 
Published: August 2024

Abstract
To meticulously investigate the reasons behind the cracking of the safety crane in a subway vehicle, we conducted a comprehensive analysis of its modes and conducted mode tests accordingly. These tests revealed the natural frequencies of the crane to be approximately 340 Hz and 990 Hz. Additionally, to gain insights into the acceleration and dynamic stress levels experienced by the safety crane during operation, we conducted a line tracking test on the vehicle. Analysis of the test data revealed that the acceleration and dynamic stress of the crane exhibited significant energy levels around 340 Hz, indicating that the first-order mode was excited, resulting in resonance. A comparative evaluation of the fatigue data of dynamic stress, both before and after rail grinding, revealed that the fatigue damage caused by rail wave grinding significantly shortened the service life of the safety crane.
Design and research of fuzzy PID-based liquid pump performance testing platform
Authors: Hou Yuntao , Wu Zequan , Cai Xiaohua , Li Zhancheng 
Published: August 2024

Abstract
The pump is a crucial component of agricultural sprayer machinery, directly impacting its operational quality. This paper designs a performance testing platform for pumps. Utilizing a brushless DC motor as the power source for the pump, a closed-loop mathematical model for the brushless DC motor is established. Simulation experiments and indoor experimental tests are conducted. Simulation results indicate that the motor control system exhibits fast response, no overshooting, and excellent dynamic and static performance. Experimental tests on the platform show that the error range of motor speed is less than 0.3%, achieving excellent control performance. The constructed pump performance testing system achieves precise measurement of pump flow rates at different speeds, demonstrating outstanding performance.
A self-cleaning glue feeding system based on slit coating
Authors: Zhang Hong , Wang Guanglei , Luo Wei , Xu Jie , Lin Jiansha , Li Xiaoquan , He Daiquan 
Published: August 2024

Abstract
This paper introduces a self-cleaning glue feeding system. Based on the slit coating process, a mid-line adhesive glue feeding system suitable for KDF3E filter rod forming machine has been developed through innovative design of nozzle structure, improvement of coating process flow, optimization of process parameters, and other methods and measures. After the machine test, we can solve the current glue feeding problem and improve the overall efficiency and quality of mid-line glue.
An improved dynamical variational autoencoder framework for predicting aero-engine remaining useful life
Authors: Gong Yude , Dang Wei , Li Peng 
Published: August 2024

Abstract
Accurate remaining useful life (RUL) prediction is vital for ensuring equipment safety, optimizing maintenance schedules, and reducing operational costs. Deep learning networks have emerged as effective means for RUL prediction. However, these methods encounter challenges of multiple sensors and data noise when handling large and complex industrial equipment, which impede the prediction model’s ability to generalize. To address these issues, this paper proposes an improved Dynamical Variational Autoencoders (DVAE) Framework combining principal component analysis (PCA) and long short-term memory (LSTM) networks. The effectiveness of our DVAE RUL prediction framework is validated through experiments conducted on the NASA C-MAPSS dataset. Results show that the approach significantly improves the prediction accuracy.