bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis and Improvement of Feed HPM Breakdown
Authors: Zhang Fan , He Pengjun , Zheng Muzhao , Xie Jiangyuan , Xie Jun , Feng Yuwen 
Published: December 2024

Abstract
Antenna feed, as a crucial component of High Power Microwave (HPM) systems, plays a vital role in facilitating the transmission of microwave from vacuum environment to atmospheric space. However, the feed HPM breakdown has become as a frequent fault phenomenon evidently affecting the HPM system stability and output. In this paper, the abnormal waveform during a feed of a HPM simulator test has been studied, it was found that there was severe electric field distortion around the dielectric window fixing screw in the simulation of the feed, much lager than the breakdown threshold. To address this issue, the nylon material screws were employed as replacements for metal screws. In addition, the novel flute in the surface of the dielectric window is designed. The single-shot and repeated tests demonstrated that the improvement were effective, as the fault phenomenon was completely eradicated.
Design and optimization of an automatic selection and loading robot for artillery propellants
Authors: Wang Meng , Han Xuanxuan , Guo Xinxi , Zhou Wenqing , Gong Borui , Cui Qingchun 
Published: December 2024

Abstract
In order to promote the development of unmanned artillery and solve the problem of automatic selection and loading of propellants, this article develops a five degree-of-freedom SLP-Rob robot inspired by behavioural bionic design. By integrating robot and mechanism technology, this robot could imitate the manual selection and loading process of propellants, and its structural composition and working principle are detailed. Furthermore, to meet the mass requirement of this robot under stiffness constraints, the stiffness and mass modelling of the robotic arm were carried out, and a lightweight design was implemented using particle swarm optimization algorithm. The results show that the robot can achieve the basic action of propellants selection and loading, and the mass is reduced by 10.94%, thereby confirming the feasibility and effectiveness of the proposed solution in this paper.
Numerical Simulation and Experimental Research on High-power Plasma Generator
Authors: Yuan Gao , Yazhou Zhang , Jian Wang , Yanming Li , Shuyong Han 
Published: December 2024

Abstract
High power energy output is achieved through a plasma generator, which has great application scenarios in the fields of phase change work and spray damage. However, the plasma concentration between electrodes is high, the temperature is high, and the motion speed is high. The physical environment is complex, and the time scale is extremely small. It is difficult to directly measure parameters such as ion temperature and ion velocity distribution through experiments. This article is based on the magneto-hydro-dynamics (MHD) model and sets boundary conditions based on experimental research results to model and simulate the magnetic flow field of a generator containing plasma. The model takes into account the physical properties of multiple components of plasma, and analyzes the flow field characteristics of the plasma generator under high-energy action based on the simulation results.
Adaptive arc suppression strategy for single-phase ground faults in distribution networks using power routers
Authors: Xia Zilong , Dou Zhenlan , Zhang Chunyan , Chen Wei , Yin Xianggen , Xue Xiaoting , Zhang Zhe , Sun Pei 
Published: December 2024

Abstract
As new power systems evolve, power routers are becoming increasingly significant role in the power grid due to their capabilities in voltage transformation, fault isolation, and bidirectional power control. This paper introduces an adaptive arc suppression approach for single-phase ground faults in distribution grids based on a power router with a modular multilevel converter. The methodology adaptively engages arc suppression through voltage adjustment and current compensation, obviating the need for specific consideration of transition resistance levels. This method overcomes the limitation of existing arc suppression techniques in adapting to varying fault resistances, thereby enhancing arc suppression efficacy. Simulation outcomes substantiate the efficacy of the proposed adaptive arc suppression technique.
Study on the internal pressure characteristics of transformers and the effect of tank thickness under arc faults
Authors: Qiu Zicheng , Luo Xun , Ji Shengchang , Jia Yunfei 
Published: December 2024

Abstract
Internal power-frequency arc faults are the most serious transformer faults, likely to cause tank ruptures and fires, and have received widespread attention in recent years. In this paper, a simulation model of pressure propagation under arc fault is developed for a S13-M400/10-0.4 three-phase oil-immersed transformer. The internal pressure characteristics are analyzed, and the effect of tank thickness on the explosion-proof performance of the transformer is investigated. The results show that when an arc fault occurs, the bubble pressure and pressure fluctuations rise and tend to saturate. Increasing the tank thickness improves the explosion protection of the transformer more than reducing the tank thickness and increasing the flexibility of the transformer. However, it is feasible to appropriately increase the flexibility of the transformer tank locally by reducing the thickness of the tank locally, providing another feasible idea to improve the explosion-proof performance of the transformer.
Longitudinal protection scheme of distributed power distribution network based on M_T comprehensive similarity
Authors: Zhu Lingfeng , Shuai Zekun , Yu Liting , Li Zhengtian 
Published: December 2024

Abstract
To solve the problems of the rapid deterioration of the three-stage overcurrent protection performance after the extensive access of inverter distributed generators, the deterioration of the traditional longitudinal protection performance, and the problems of 0/0 calculation results and insufficient waveform difference measurement of the existing similarity protection algorithms, a longitudinal protection scheme based on M_T comprehensive similarity was proposed. Firstly, the transmission communication delay of the 5G core network is analyzed, and the mini-slot technology is proposed to effectively reduce the communication delay. Secondly, the M-K mutation initiation algorithm adapted to the characteristics of inverter DG faults was used to replace the traditional phase current mutation detection algorithm. The fault self-synchronization with higher precision was realized. Finally, M_T comprehensive similarity is constructed to describe the difference between the short-circuit current waveform of the system side and the inverter-distributed generator side. The changes in the similarity coefficient of faults in and out of the area are analyzed. A new principle of longitudinal protection based on the comprehensive similarity of M_T is formed. The simulation results show that the proposed new protection principle can reliably identify faults in and out of the area, will not have the anomaly of 0/0 of Pearson coefficient and cosine similarity calculation results, and has better anti-transition resistance ability than the Tanimoto similarity algorithm, which is fully suitable for distribution networks with distributed generators.
Research on the control strategy of energy storage systems based on adaptive droop control
Authors: Wang Junrui , Wang Rui , Li Ruiqi , Qin Hao , Li Linhui , Chen Jianfei 
Published: December 2024

Abstract
In DC microgrids, adaptive droop control is often used to allocate power between storage systems when using energy storage systems to maintain the power balance between distributed generation units and loads. The introduction of droop control can often result in voltage dips at the bus. To tackle this issue, this paper presents an Adaptive Droop Control (ADC) strategy based on the battery’s State of Charge (SOCn). This strategy ensures that the power distribution between battery charging and discharging is proportionate to its SOC value, preventing bus voltage drops. Additionally, the paper proposes the incorporation of a supercapacitor power compensation link to enhance the system’s interference resistance. Finally, the effectivity of the proposed control strategy is proven on the TMS320F28335-based experimental bench of optical storage DC microgrid.
Finite time cooperative cruise control of virtual marshaling based on expansion state observer
Authors: Tang Zhengqing , Wei Wenjun , Niu Qiang 
Published: December 2024

Abstract
To solve the problem of long system response time and overcome external disturbance in high-speed train group cooperative control, this paper proposes a multi-agent finite-time cooperative cruise control algorithm based on an expansion state observer. First of all, the 3-order dynamic model of the high-speed train is established based on its characteristics and as an agent. Secondly, a multi-agent finite time co-control protocol based on extended state observer (ESO) is designed. It is proved that the protocol can realize cooperative cruise in limited time, greatly shorten the tracking distance between trains, and overcome external disturbance. Finally, the validity of the proposed algorithm is examined by MATLAB emulation. The simulation results show that the train group can track the predefined speed and trajectory in a limited time, eliminate external interference, shorten the tracking spacing, and improve the capability of railway lines. Compared to conventional control methods, train tracking time is reduced by 93%.
Study on single event failure mechanism and hardening methods of VDMOS power devices
Authors: Rong Shenghe 
Published: December 2024

Abstract
In aerospace applications, electronic devices are highly susceptible to single-particle effects due to the prevalence of heavy ions. Two critical single-particle effects observed in VDMOS devices are single-event burnout (SEB) and single-event gate rupture (SEGR), which significantly impact the reliability and service life of these power devices. This study investigates the mechanisms and conditions associated with these effects, proposing several effective methods to enhance device resilience. For example, changing the ion impurity concentration in the P-body region and increasing the strength of the gate can reduce the sensitivity to single-particle burnout and single-particle gate penetration, respectively. The results demonstrate that strengthening measures can effectively mitigate the influence of SEB and SEGR, thereby enhancing the on-orbit safety and operational lifespan of aerospace equipment.
Research on task scheduling algorithm for digital cloud platform of Ultra-High voltage substation with load balancing awareness
Authors: Shi Qi , Wang Yi 
Published: December 2024

Abstract
This article focuses on the potential task scheduling risks in the digital cloud platform of ultra-high voltage substations and conducts research on workload prediction, exploring the differences in computing power caused by node heterogeneity. The article aims to address the impact of single-core high load or multi-core heavy load on system stability. In this algorithm, wavelet packet decomposition is used to obtain a more stable CPU utilization sequence. ARIMA (Autoregressive Integrated Moving Average) is employed for evaluation, and the SVM (Support Vector Machine) model is used to revise the time series to improve the accuracy of load prediction results, ultimately yielding a sequence representing the load status of nodes. The prediction curve generated by the SARIMA algorithm in this paper better reflects the actual load conditions of the test sequence. When the SARIMA load evaluation algorithm is applied to task scheduling, the task completion times are reduced. Specifically, the completion time is reduced by 84 seconds for 50 tasks and by 881 seconds for 200 tasks, corresponding to reductions of 14% and 22%, respectively.
Stable pedestrian trajectory prediction method with dynamic fusion of multiple features in dense crowds
Authors: Huang Shengqiang , Zhang Fengling , Liu Chang , Luo Yonglong 
Published: December 2024

Abstract
Predicting pedestrian trajectories is an essential task within the realms of computer vision and artificial intelligence, aiming to forecast the future motion paths of pedestrians based on historical data. Current research primarily focuses on extracting factors that influence pedestrian movement and independently modeling these factors to predict future pedestrian trajectories. However, existing methods overlook the varying degrees of influence that different factors may have on pedestrian movement at different time steps. To address this issue, we, after extracting the influencing factors, employ a model-adaptive approach to model the importance of different factors at each time step and further predict pedestrian trajectories. Specifically, we utilize a simple multi-factor feature extraction method to extract various influencing factors. Subsequently, we employ a Transformer-based dynamic weight fusion mechanism to dynamically adjust the weights of different factors on pedestrian movement at different time steps, thereby achieving pedestrian trajectory prediction. Our method demonstrates significant superiority in dense crowds, with experimental results showing an improvement of 6% and 31% over state-of-the-art approaches.
Development of Computational Code to Estimate the Non-Relativistic Contribution to Mercury’s Perihelion Precession
Authors: Kundu Jayashree , Mandal Rakesh Kumar , Sarkar Tamal 
Published: December 2024

Abstract
The Sun’s gravitational field confines the solar system, our eight known planets, and dwarf planets. This gravitational pull of the Sun and other planets causes Mercury, the nearest planet to the Sun, having the highest orbital precession among all other planets in the Solar system, to follow a new path slightly preces than its normal one. This paper studies Mercury’s orbit by developing an algorithm to determine the nonrelativistic contribution to Mercury’s perihelion precession per century. To create this, we have considered Newton’s Law of Gravitation, Kepler’s Law of Planetary Motion and used orbital data of Planets and Dwarf Planets around the Sun. Hence, our computational code first finds the mass of the Sun and then the nonrelativistic precession of Mercury’s perihelion shift following the mathematical model mentioned in Price and Rush’s paper,1979, where they assumed that all the planets’ masses, except Mercury, are distributed in a uniform circular ring centering the Sun. The developed computational code has been implemented through the programming language Python which has very powerful, faster data handling and visualizing packages like Numpy, astropy, matplotlib, and many more.
Analysis of the use of Nano-engineered Composite Energy Retention Materials in Eco-Building Layouts
Authors: Vigneshkumar M , Gokilakrishnan G , Nair Sreejith S , Sivalingam A , Marappan Muthukumar , Bhat Suriya Shaffi 
Published: December 2024

Abstract
This analysis is to approaching the usage of the heat retention phase transition materials in structure of building establishment energy preservation blend, in this research infusing the Nano-engineered composite energy retention substances into Eco-building layouts. Altered C (Carbon) nanotubes, manufactured by acid mixture fermentation and Attrition milling, were blended with saturated fatty acid to produce heat retention state transition materials. Analytic outcome shows that acidified Nano Carbon tubes thwart the heat capacity dispersion of stereophonic acid molecular fragments, resulting in heat conducting capacity is 1.2 times higher compared to the pure saturated fatty acid when Nano Carbon tubes are appended with a volume ratio of 1%. Eventually, Nano-engineered composites energy staking materials illustrates higher prospect for application in Eco-building layouts.
Resistance of plastic anchors for fixing on ETICS in different types of base materials
Authors: Hrischev Lachezar , Conev Ivan-Aleksandar 
Published: December 2024

Abstract
The durability of external thermal insulation composite systems and their resistance to wind load mainly depends on the resistance of plastic anchors by means of which the systems are fixed to the substrate. A large part of the facade walls are made of reinforced concrete and various types of masonry units. This article presents an experimental study of the resistance of plastic anchors for ETICS, with different types of base materials, typical of the facade walls of buildings implemented in Bulgaria. The resistance of anchors installed in base materials with different characteristics of hollow masonry units, solid masonry units, concrete base and autoclaved aerated concrete units was investigated. As a result of the study, it was found that the resistance under tension force of the plastic anchors was the highest for base of concrete, solid clay masonry units and high-density autoclaved aerated concrete. It was found that with the different types of masonry units, as the compressive strength of the base increases, the resistance of the plastic anchors also increases.
A comparative numerical study of various ribs geometries on the performance of a solar air heater absorber plate
Authors: Srivastava Ankur , Singh Hemant Raj , Sharma Dinesh Kumar , Goyal Rahul 
Published: December 2024

Abstract
In this study, a numerical investigation is conducted to compare the impact of various ribs such as transverse, inclined, V-shaped and arc-shaped fixed on the absorber plate of a solar air heater under consistent boundary conditions. The analysis considers Reynolds numbers ranging from 3000 to 15000 and a heat flux corresponding to 1000 W m−2. Various geometric characteristics of the ribs, including relative roughness height, relative pitch, number of gaps, rib-arm angle (attack angle), and relative gap width, are kept constant throughout the investigation in this comparative analysis. The simulations are carried out using ANSYS-Fluent software, and the theoretical results are employed for validation. Results indicate that at Reynolds number 15,000, the maximum Thermal-Hydraulic Performance Parameter (THPP) for V-shaped ribs is 2.15 followed by arc-shaped ribs as 1.6.
Hurricanes, industrial animal operations, and acute gastrointestinal illness in North Carolina, USA
Authors: Quist Arbor J L , Fliss Mike Dolan , Richardson David B , Delamater Paul L , Engel Lawrence S 
Published: December 2024

Abstract
North Carolina (NC) ranks third among US states in both hog production and hurricanes. NC’s hogs are housed in concentrated animal feeding operations (CAFOs) in the eastern, hurricane-prone part of the state. Hurricanes can inundate hog waste lagoons, transporting fecal bacteria that may cause acute gastrointestinal illness (AGI). While CAFOs and hurricanes have separately been associated with AGI, few epidemiological studies have examined the joint effect of hurricanes and CAFOs. We examined the impacts of Hurricanes Matthew (2016) and Florence (2018) on the occurrence of post-storm AGI in areas with varying numbers of hog and poultry CAFOs. We used ZIP code-level disease surveillance data, 2016–2019, to calculate rates of AGI emergency department (ED) visits in NC. Using precipitation data, CAFO permit data, and interrupted time series methods, we assessed the change in AGI rate during the three weeks after Matthew and Florence in ZIP codes with heavy rain (>75th percentile of storm precipitation) and 0, 1–10, and >10 hog CAFOs. The AGI ED rate in ZIP codes with heavy storm rain and >10 hog CAFOs increased 15% (RR = 1.15, 95% CI: 1.04, 1.27) during the three weeks after Hurricane Florence, although there was little increase after Hurricane Matthew (RR = 1.05, 95% CI = 0.86, 1.24). The AGI ED rates in ZIP codes with heavy storm rain and no hog CAFOs exhibited no increase during these post-hurricane periods (Matthew: RR = 0.97, 95% CI: 0.80, 1.14; Florence: RR = 1.01, 95% CI: 0.89, 1.13). We also observed an increase in AGI ED rate in areas with both >10 hog CAFOs and >10 poultry CAFOs. Areas with heavy hurricane precipitation and many CAFOs had a higher proportion of Black, American Indian, and Hispanic residents and lower annual household incomes than the state averages. Heavy hurricane precipitation in areas with CAFOs may increase AGI rates, disproportionately affecting people of color in NC.
Fire and seed dormancy: a global meta-analysis
Authors: Monemizadeh Zahra , Siahmarguee Asieh , Soltani Elias , Torabi Benjamin , Baskin Carol C , Azimmohseni Majid , Pausas Juli G , Tavşanoğlu Çağatay , Sadeghipour Hamid Reza , Ghaderi-Far Farshid 
Published: December 2024

Abstract

Background and Aims
Fire-released seed dormancy (SD) is a key trait for successful germination and plant persistence in many fire-prone ecosystems. Many local studies have shown that fire-released SD depends on heat and exposure time, dose of smoke-derived compounds, SD class, plant lineage and the fire regime. However, a global quantitative analysis of fire-released SD is lacking. We hypothesized that fire-released SD is more prevalent in fire-prone than in non-fire-prone ecosystems, and in crown fire compared with surface fire ecosystems. Additionally, we expected to uncover patterns in the relationship between fire cues and SD classes at the global scale that mirror those identified in local or regional studies.

Methods
In total, 246 published germination studies from 1970 to 2022, encompassing 1782 species from 128 families, were used in our meta-analysis. Meta-analysis moderators included different fire cues, smoke application methods, smoke exposure duration and concentration, smoke compounds, fire-proneness, fire regimes and ecosystem types.

Key Results
Heat released physical, and smoke released physiological and morphophysiological dormancies. For SD release, heat and smoke acted synergistically, and karrikinolide (KAR1) was the most effective smoke compound. Fire-released SD was more prevalent in fire-prone than in non-fire-prone regions, particularly under crown fire regimes. Fire-released SD occurred mainly in Mediterranean ecosystems, temperate dry forests and temperate warm ecosystems, whereas species from savannas and tropical grasslands, temperate grasslands and tropical rainforests generally responded negatively to fire.

Conclusions
Fire-released SD is strongly influenced by fire regimes, the latter having a significant role in shaping SD and germination patterns on a global scale. The synergistic effect of heat and smoke in dormancy release reveals more intricate interactions between fire cues than previously understood. Understanding these patterns is crucial in the context of shifting fire regimes driven by climate change, as they may disrupt plant life cycles, alter ecosystem functions, biodiversity and community composition, and provide key insights for biodiversity conservation and ecological restoration in fire-prone ecosystems.