bluuebunny/crossref_metadata_2025_split huggingface dataset:
Deblurring the early Universe: reconstruction of primordial power spectrum from Planck CMB using image analysis techniques
Authors: Sohn Wuhyun , Shafieloo Arman , Hazra Dhiraj Kumar 
Published: March 2024

Abstract
While the simplest inflationary models predict the primordial perturbations to be near scale-invariant, the primordial power spectrum (PPS) can exhibit oscillatory features in many physically well-motivated models. We search for hints of such features via free-form reconstructions of the PPS based on Planck 2018 CMB temperature and polarization anisotropies. In order to robustly invert the oscillatory integrals and handle noisy unbinned data, we draw inspiration from image analysis techniques. In previous works, the Richardson-Lucy deconvolution algorithm for deblurring images has been modified for reconstructing PPS from the CMB temperature angular power spectrum. We extensively develop the methodology by including CMB polarization and introducing two new regularization techniques, also inspired by image analysis and adapted for our cosmological context. Regularization is essential for improving the fit to the temperature and polarization channels (TT, TE and EE) simultaneously without sacrificing one for another. The reconstructions we obtain are consistent with previous findings from temperature-only analyses. We evaluate the statistical significance of the oscillatory features in our reconstructions using mock data and find the observations to be consistent with having a featureless PPS. The machinery developed here will be a complimentary tool in the search for features with upcoming CMB surveys. Our methodology also shows competitive performance in image deconvolution tasks, which have various applications from microscopy to medical imaging.
The BLAST Observatory: A Sensitivity Study for Far-IR Balloon-borne Polarimeters
Authors: Coppi Gabriele , Dicker Simon , Aguirre James E. , Austermann Jason E. , Beall James A. , Clark Susan E. , Cox Erin G. , Devlin Mark J. , Fissel Laura M. , Galitzki Nicholas , Hensley Brandon S. , Hubmayr Johannes , Molinari Sergio , Nati Federico , Novak Giles , Schisano Eugenio , Soler Juan D. , Tucker Carole E. , Ullom Joel N. , Vaskuri Anna , Vissers Michael R. , Wheeler Jordan D. , Zannoni Mario ,   The BLAST Observatory Collaboration
Published: March 2024

Abstract
Sensitive wide-field observations of polarized thermal emission from interstellar dust grains will allow astronomers to address key outstanding questions about the life cycle of matter and energy driving the formation of stars and the evolution of galaxies. Stratospheric balloon-borne telescopes can map this polarized emission at far-infrared wavelengths near the peak of the dust thermal spectrum—wavelengths that are inaccessible from the ground. In this paper we address the sensitivity achievable by a Super Pressure Balloon polarimetry mission, using as an example the Balloon-borne Large Aperture Submillimeter Telescope (BLAST) Observatory. By launching from Wanaka, New Zealand, the BLAST Observatory can obtain a 30 days flight with excellent sky coverage—overcoming limitations of past experiments that suffered from short flight duration and/or launch sites with poor coverage of nearby star-forming regions. This proposed polarimetry mission will map large regions of the sky at sub-arcminute resolution, with simultaneous observations at 175, 250, and 350 μm, using a total of 8274 microwave kinetic inductance detectors. Here, we describe the scientific motivation for the BLAST Observatory, the proposed implementation, and the forecasting methods used to predict its sensitivity. We also compare our forecasted experiment sensitivity with other facilities.
Fine structure of polarization and optical Möbius strips topology of laser light in planar metamaterial
Authors: Kuznetsov N Yu , Potravkin N N , Makarov V A 
Published: March 2024

Abstract
It is shown that upon propagation of a plane linearly polarized harmonic wave normally incident on a planar nonlinear metamaterial whose basic cell consists of two rectangular silver plates with characteristic dimensions of hundreds of nanometers, there exists in the local field a circular polarization singularity line (C-line) containing two regions where their segments come to each other to such small distance that it may appear as a self-intersection in the numerical experiment. We found that optical ribbons constructed around the ordinary points of these lines have the topology of Möbius ribbons, and the ribbons constructed in the possible self-intersection region of C-lines and spanning its two segments are orientable surfaces.
Inducing torque on molecular magnets via Laguerre Gaussian beams
Authors: Lei Gang , Li Shanzhi 
Published: March 2024

Abstract
This theoretical study delves into the induction of torque by light beams carrying orbital angular momentum on single-molecule magnets (SMMs). The investigation explores the impact of decay rates, detunings, and control field intensities on the generation of light-induced torque and the resulting current flow in a ring formation. The results highlight the crucial role of the control field, showcasing its efficacy as a tool to manipulate and amplify torque at different frequencies. Detuning is identified as a critical parameter influencing the shift, slope, and emergence of multiple peaks in the torque profile. The interplay between detuning, control field intensity, and decay rates introduces a control mechanism for fine-tuning torque at distinct probe frequencies. These findings underscore the potential applications of the control field and detuning as robust tools for tailored manipulation of torque in SMMs, paving the way for advancements in controlled current flow dynamics with ring structures.
Implications of neutron skin measurements on Skyrme equations of state*
Authors: Guan 管 Da Wei 大为 , Pei 裴 Jun Chen 俊琛 , Jiang 蒋 Chong Ji 崇基 
Published: March 2024

Abstract
The recent measurements of neutron skins via parity violation in electron scattering have extracted an abnormally thick neutron skin for

Pb, which has significant consequences in nuclear equation of state (EoS) and neutron star observations. In this study, we perform optimizations of extended Skyrme forces in a consistent manner by including neutron skin thicknesses from PREX-II and CREX experiments and investigate nuclear EoSs and neutron stars in the GW170817 event. By varying the fitting weights of neutron skins, several new Skyrme parameterizations are obtained. Our results show the competition in the fitting procedure to simultaneously describe neutron skins, other properties of finite nuclei, and neutron star observations. The prospects of resolving neutron skin issues are also discussed.
Epidemic process on partially overlapped multi-layer networks
Authors: Jiang Xin , Liang Quanyi 
Published: March 2024

Abstract
The phenomenon of epidemic spread has received continuous attention due to its profound applications in a wide range of social and economic activities. In this paper we propose a partially overlapped multi-layer network model and illustrate the influence of multi-layer structure on outbreaks. Combined with the classic SIS model, we propose a set of discrete Markov equations and make first-order approximation on the threshold of epidemic outbreak. In comparison with independent simplex networks, we find that a multi-layer structure promotes epidemic spread and leads to a smaller critical threshold. In addition, we also find that the epidemic process on partially overlapped multi-layer networks is dominated by the layer with the largest main eigenvalue. Through Monte Carlo simulations, we find that the role of the dominant layer is irrelevant with its size, which means a small set of nodes can exhibit a disproportionate impact on the epidemics of a large network. Our research sheds light on the epidemic process on partially overlapped multi-layer complex systems, and provides a theoretical explanation of unexpected real-world outbreaks.
Infrared image segmentation method for power equipment based on improved cluster region growth
Authors: Yue Keyu , Zheng Yu , Gao Feng , Liu Yande , Yan Meng , Wang Sijia 
Published: March 2024

Abstract
For overheating defects of power equipment, the use of infrared technology is widely popular at present, which is less costly and more efficient than the traditional manual detection of thermal defects of power equipment. However, infrared images have the nature of concentrated intensity and low contrast, and picture segmentation has always been a difficult point. This paper proposes a combination of K-mean clustering and improved region growing algorithm, compared with the traditional region growing algorithm, solves the need to manually select the seed point to produce uneven gray scale and over-segmentation and under-segmentation, etc., through the K-mean clustering algorithm to automatically select the number of seeds as well as the seed node, and the introduction of Canny operator to reduce the error in order to achieve a better segmentation effect. Finally compare other algorithms fuzzy C-mean segmentation and fuzzy threshold segmentation.
Informer Model based Wind Power Forecast with Tropical Storms Present
Authors: Qiao Yuezhong , Zhuo Yaguang , Zhang Wenming 
Published: March 2024

Abstract
When severe tropical storms pass through, regional wind speeds fluctuate greatly, and the volatility of wind farm output also increases significantly. At the same time, the duration of tropical storms is long, and it is difficult for short-term time series data prediction models to be effective, in which case the unstable output of wind turbines will have a greater impact on power system dispatching. This paper first examines the characteristics of tropical storm movement, namely the change in wind speed, and then uses the Informer long time series data prediction model to predict the total change in wind turbine output in the next 10 days after the storm has passed. The actual case proves that the Informer model is ideal in predicting the long time series of wind power output during a tropical storm.
New energy grid-connected line fault localization method based on improved VMD-MUSIC
Authors: Qi Entie , Song Zhijie , Li Linlin , Li Yiping , Cheng Shichao , Shi Yuxin , Wang Ziming 
Published: March 2024

Abstract
In view of the limitations of the traditional double-ended traveling wave ranging method in new energy grid-connected transmission lines and the inability to effectively extract the deep characteristics of the traveling wave intrinsic frequency. This paper proposes a new energy grid-connected line fault localization method based on the fusion of Variational Mode Decomposition (VMD) and Multiple Signal Classification (MUSIC). Firstly, the fault traveling wave signal is decomposed into multiple intrinsic modal components by improving VMD; then, the spectrograms under the corresponding modes are obtained by using MUSIC to realize the accurate extraction of the intrinsic frequency of the traveling wave; Finally, the fault distance is calculated based on the relationship between the fault distance at the monitoring points at each end and the known line length. Simulation results show that the method can overcome the influence of spectral aliasing on the extraction of the principal component of the intrinsic frequency, and can accurately determine the fault interval, and the localization results are not affected by the fault distance, the fault type, and the fault resistance, which has good adaptability and high localization accuracy.
Dynamic encryption method for MQTT communication
Authors: Li-Wen HanHua , Yang Kai , Fu LiLi , Chen MengFan 
Published: March 2024

Abstract
Internet of vehicles (IoV) system is mixed-criticality, and different functions have different requirements for information security and real-time performance. Thesis aims to design a comprehensive dynamic encryption algorithm to ensure the function of the IoV system while taking into account the security level required by different critical functions. The algorithm can flexibly coordinate the security requirements between different functions, improve the efficiency and reliability of the system to the greatest extent, and ensure information security. In order to verify the performance of the algorithm, thesis uses Pycharm platform to carry out simulation experiments through python programming and verifies the feasibility of the algorithm.
Knowledge graph completion assisted graph neural network for spectrum resource optimization of UAV swarm
Authors: Wang Y , Liao X , Ye G , Zhu X 
Published: March 2024

Abstract
Unmanned aerial vehicles (UAVs) are playing an increasing critical role in industrial, agricultural and military Scenario. However, the energy consuming cannot be ignored, which constrains the flying time and quality of service (QoS), especially in large UAV swarm. In this paper, a knowledge graph completion assisted graph neural network (KGC-GNN) is proposed for UAV swarm aiming at optimizing the spectrum resource to improve the energy efficiency (EE). The proposed network consists of two parts: a graph attention network based on relational coding (GATRC) encoder and a task-oriented decoder based on InteractE model named CP-IE. The further simulation demonstrates that our approach can attain near-optimal spectrum resource optimization scheme with higher energy efficiency and achieve rapid convergence with the channel distribution information (CDI), UAV and environment parameters.
Research on Ai Technology of Intelligent Information Visualization Based on Rtos System Service
Authors: Jinglu Zhang , Linna Wang 
Published: March 2024

Abstract
In order to improve the visual interaction ability of intelligent information, an intelligent information visualization artificial intelligence technology based on RTOS system service is proposed in this paper. Based on embedded integrated control, this paper constructs the system design scheme, client and host system of intelligent information visualization artificial intelligence RTOS service system. The information monitoring module, artificial intelligence programmable logic control module, artificial intelligence processing module and human-computer interaction module of intelligent information visualization artificial intelligence RTOS service system are established to realize the label identification and identification in the process of intelligent information visualization artificial intelligence RTOS service system based on unified resource locator sipur, The communication system model of intelligent information visualization artificial intelligence RTOS service system under the transmission mode of multimedia communication channel is established to realize the automatic information processing of intelligent information visualization RTOS system. The test results show that the design has good stability, strong intelligent information visualization and interaction ability, low memory and time cost.
Simulation of frame beam additive Connection Process based on ABAQUS
Authors: Hou Guanqiang 
Published: March 2024

Abstract
In order to determine the optimal process parameters in the process of frame beam additive connection, Reduce thermal deformation caused by high temperature in the process of additive connection as much as possible, In this paper, ABAQUS finite element analysis software was used to conduct finite element analysis on the process of frame beam additive connection. By analyzing the temperature field and deformation amount under different connection currents in the process of additive connection, The optimal process parameters were determined as connection voltage 16V, connection current 80A, connection speed 5mm/s. The experimental results show that the heat generated in the process of frame beam additive connection is the least and the deformation is the least.
Study on Welding Deformation Correction of TC4 Titanium Alloy Panel Parts
Authors: Wang Zhijan , Li Xiaofan 
Published: March 2024

Abstract
Aiming at the problem that TC4 titanium alloy panel parts after welding have large internal residual stress and obvious panel deformation, which can’t meet the requirements of the parts, the viscoelastic plastic model of titanium alloy panel parts is established by finite element analysis, and the welding deformation-thermal alignment collaborative simulation environment is established by ANSYS, and the welding deformation and thermal alignment process are analyzed by numerical simulation. The law of shape correction when the correction temperature is 600 °C, 650 °C, 700 °C and the holding time is 3600s, 5400s and 7200s, respectively, and the calculation formula of springback rate is established to evaluate the effect of thermal shape correction, so as to optimize the heat treatment correction process. The results show that the correction temperature and holding time have obvious influence on the correction effect. When the correction temperature is 700 °C and holding time is 7200s, the correction effect is the best, and the springback rate is controlled below 25%, which meets the requirements of machining accuracy.
Workload Simulation and Comfort Evaluation of Workover Rig Driller
Authors: Xu Jianbo , Ji Ting , Yu Jing , Huang Liang 
Published: March 2024

Abstract
Considering that the method of evaluating comfort by subjective feeling isn’t precise enough, and there are few studies on the comfort of the wo-rkover rig operation, taking the XJ70 workover rig as an example, comprehen-sively considering the impact of operating time and operating cabin layout para-meters, the digital model of the human body sitting posture of Chinese adult males with typical percentiles is established in the AMS biomechanics software, the model of brake handle and seat is imported, and the inverse dynamics simu-lation of the brake handle operation is performed; Taking the muscle activity of relevant muscle groups as the evaluation index, the influence and mapping rela-tionship of sitting height and backrest inclination on the muscle groups during the brake handle operation are studied. The handling comfort evaluation model based on the muscle loads is built, which provides a new way for the evaluation of comfort and has a certain guiding significance for selecting comfortable operating posture and optimizing the adjustable range of seat.
A High-loss Power Line Theft Detection Method Based on Segmented Dynamic Time Warping Distance
Authors: Yang Jing , Wei Meifang , Huang Di 
Published: March 2024

Abstract
Most of the existing electricity theft detection approach of distribution lines identifies anomaly users with large volume of electricity usage data. Since users’ electricity usage data and loss of associated distribution lines are highly correlated, this could be analysed to identify the dishonest user of electricity theft. A segmented dynamic time bending distance based electricity theft detection approach of high-loss line is proposed in this paper. Firstly, the heuristic segmentation algorithm is used to transform the time series of electricity usage of each user and line loss to implement feature extraction and data reduction. Thereafter, dynamic time bending distance is employed to find out the user whose electricity usage is most similar to that of the line loss. The user whose electricity consumption has most similarity to that of line loss with the same fluctuation direction is assigned as the suspected user of electricity theft. Numerical simulation of real world metering data of high-loss lines suggest that the proposed approach has better accuracy and lower false positive rate as compared to the comparison method.
The practical study of steel-wood composite column in light and low-carbon building
Authors: Xiao Meng , Yang Jianyu , Zhao Wei 
Published: March 2024

Abstract
Steel improves the safety performance of buildings, but also greatly increases the carbon emissions of buildings, which is not conducive to environmental development. Based on the consideration of reducing building carbon emissions, this study proposes to replace the pure steel load-bearing column in the low-rise building with a new load-bearing column in the form of steel-wood combination, and establishes a theoretical and numerical model to explore its reasonable combination size to verify the safety of the structure in practical applications. And the carbon emission assessment and analysis of the whole life cycle. It is found that the steel and wood structure can replace the pure steel structure of the corresponding size in the low-rise building, which greatly reduces the carbon emissions of the building while achieving structural safety.
Automatic Fault Detection Method of Rotating Machinery Bearing Based on Complexity Analysis
Authors: Ying Feili , Jie Xu 
Published: March 2024

Abstract
In order to improve the working condition stability of rotating machinery bearings, an automatic fault detection method of rotating machinery bearings based on complexity analysis is proposed. The parameters of rotating machinery bearings are detected by using discrete sensor detection method, and the fault characteristics of rotating machinery bearings are extracted by fault type parameter extraction method. The complexity of rotating machinery bearings is detected by wavelet transform and fuzzy logic analysis. Considering the load mutation, noise disturbance, control strategy and other factors of rotating machinery bearings, the fault diagnosis and feature analysis model of rotating machinery bearings is established. The clustering and feature detection of rotating machinery bearings’ fault types are realized by the method of discrete complexity fusion clustering. Based on adaptive feedback compensation and parameter estimation, the output diagnostic error is taken as the fault detection index parameter, and the feature estimation in normal state and fault state is realized by harmonic level detection, so as to realize automatic fault detection of rotating machinery bearings. The simulation results show that this method has high accuracy and small deviation in fault detection of rotating machinery bearings, which improves the ability of automatic fault diagnosis.
An Efficient Off-grid Express Cabinet Based on Wind-solar Hybrid Power Generation System
Authors: Gu Xiaosong , Qu Jiayi , Yuan Yongzhe , Li Le 
Published: March 2024

Abstract
In order to effectively solve the shortcomings of traditional express cabinets such as limited service places and seasonal power supply obstacles, this paper studies an off-grid express cabinet using wind-solar complementary principle, which is mainly composed of near-ground and low-speed wind power generation device, solar photovoltaic battery pack, controller, battery pack and DC load. The double-axis tracking solar panels or fixed photovoltaic panels can be used for different regions. At the same time, it can be combined with a near-ground and low-speed wind power generation device to provide a stable power supply for the express cabinets. By programming the control, the power generated by wind-solar hybrid power generation is provided to the load as a priority. The remaining electric energy is stored in the battery pack. The system effectively overcomes the disadvantages of limited-service locations and unstable power supply caused by seasonal barriers in traditional express cabinets. It has the advantages of energy-saving, environmental protection, short payback period, and wide range of supply.