bluuebunny/crossref_metadata_2025_split huggingface dataset:
Bayesian image segmentation under varying blur with triplet Markov random field
Authors: Ouali Sonia , Courbot Jean-Baptiste , Pierron Romain , Haeberlé Olivier 
Published: August 2024

Abstract
In this paper, we place ourselves in the context of the Bayesian framework for image segmentation in the presence of varying blur. The proposed approach is based on Triplet Markov Random Fields (TMRF). This method takes into account, during segmentation, peculiarities of an image such as noise, blur, and texture. We present an unsupervised TMRF method, which jointly deals with the problem of segmentation, and that of depth estimation in order to process fluorescence microscopy images. In addition to the estimation of the depth maps using the Metropolis-Hasting and the Stochastic Parameter Estimation (SPE) algorithms, we also estimate the model parameters using the SPE algorithm. We compare our TMRF method to other MRF models on simulated images, and to an unsupervised method from the state of art on real fluorescence microscopy images. Our method offers improved results, especially when blur is important.
Gap distance sensing for non-magnetic medium based on magnetoelectric effect under spatial separation condition
Authors: Zhang Xiao , Xia Tian , Zhang Yahui , Yang Yikun , Yang Bintang 
Published: August 2024

Abstract
This paper presents a novel non-contact spatial gap distance sensing (GDS) method that can provide distance information in spatial separation conditions. In many applications, such as enclosed environments, it could not provide the desired measurement of gap distance of internal non-magnetic medium due to the constraints of physical barriers and poor accessibility. Therefore, a non-invasive sensing system is designed to measure spatial gap distance for non-magnetic medium. The developed sensor system consists of a pair of heteropolar permanent magnets (PMs), a non-magnetic medium, a magnetostrictive-piezoelectric composite unit and an external space, which has the function of spatial separation measurement. By exploiting the magnetoelectric effect, the magneto-machine-electric conversion is achieved by sensing the spatial magnetic field generated by the heteropolar PMs. The coupling modeling, analysis and calibration of sensing system are conducted, and the system prototype is designed and manufactured. Additionally, the performances of the GDS are experimentally validated. Static gap distance (plate thickness) measurements of the plate and variable gap distance (instant water height) measurements of water are performed, and resolution, vibration, and drift tests are carried out. The results show the accuracy and stability of non-contact spatial gap distance detection for non-magnetic medium, highlighting its potential in various applications.
Status and future directions for direct cross-section measurements of the 13C(a,n)16O reaction for astrophysics
Authors: Csedreki L , Gyürky Gy , Rapagnani D , Ciani G F , Aliotta M , Ananna C , Barbieri L , Barile F , Bemmerer D , Best A , Boeltzig A , Broggini C , Bruno C G , Caciolli A , Casaburo F , Cavanna F , Colombetti P , Compagnucci A , Corvisiero P , Davinson T , Depalo R , Di Leva A , Elekes Z , Ferraro F , Formicola A , Fülöp Zs , Gervino G , Guglielmetti A , Gustavino C , Imbriani G , Junker M , Lugaro M , Marigo P , Marsh J , Masha E , Menegazzo R , Paticchio V , Perrino R , Piatti D , Prati P , Robb D , Schiavulli L , Sidhu R S , Skowronski J , Straniero O , Szücs T , Zavatarelli S 
Published: August 2024

Abstract
The 13C(α,n)16O reaction is the main neutron source of the s-process taking place in thermally pulsing AGB stars and it is one of the main candidate sources of neutrons for the i-process in the astrophysical sites proposed so far. Therefore, its rate is crucial to understand the production of the nuclei heavier than iron in the Universe. For the first time, the LUNA collaboration was able to measure the 13C(α,n)16O cross section at E
c.m. = 0.23−0.3 MeV drastically reducing the uncertainty of the S(E)-factor in the astrophysically relevant energy range. In this paper, we provide details and critical thoughts about the LUNA measurement and compare them with the current understanding of the 13C(α,n)16O reaction in view of future prospect for higher energy measurements. The two very recent results (from the University of Notre Dame and the JUNA collaboration) published after the LUNA data represent an important step forward. There is, however, still room for a lot of improvement in the experimental study of the 13C(α,n)16O reaction, as emphasized in the present manuscript. We conclude that to provide significantly better constraints on the low-energy extrapolation, experimental data need to be provided over a wide energy range, which overlaps with the energy range of current measurements. Furthermore, future experiments need to focus on the proper target characterisation, the determination of neutron detection efficiency having more nuclear physics input, such as angular distribution of the 13C(α,n)16O reaction below E

α
< 0.8 MeV and study of nuclear properties of monoenergetic neutron sources and/or via the study of sharp resonances of 13C(α,n)16O. Moreover, comprehensive, multichannel R-matrix analysis with a proper estimate of uncertainty budget of experimental data are still required.
Intelligent mechanical fault diagnosis using multiscale residual network and multisensor fusion
Authors: Guo Haiyu , Yu Wei , Zhang Xiaoguang , Lu Fanfan , Liang Chuang 
Published: August 2024

Abstract
Mechanical faults in manufacturing systems need to be diagnosed accurately to ensure safety and cost savings. With the development of sensor technologies, data from multiple sensors is frequently utilized to assess the health of intricate industrial systems. In such cases, it is necessary to study the multisensor data based intelligent mechanical fault diagnosis method. First, the multisensor data is converted into grey images and then fused into a three-channel red-green-blue (RGB) image. Then, a multiscale with residual convolution module is proposed, which can extract multiscale deep features of the complex raw signal. Additionally, an attention module for channel and spatial attention is introduced to adaptively adjust the feature response values of each scale. Two datasets and a specific engineering application are used to validate the superiority of the network. The results show that the multisensor multiscale residual network outperforms other fault diagnosis networks in terms of fault identification accuracy, diagnostic efficiency, and applicability.
A method for obtaining cosmological models consistency relations and Gaussian Processes testing
Authors: Jesus J.F. , Escobal A.A. , Valentim R. , Pereira S.H. 
Published: August 2024

Abstract
In the present work, we apply consistency relation tests to several cosmological models,
including the flat and non-flat ΛCDM models, as well as the flat XCDM model. The analysis
uses a non-parametric Gaussian Processes method to reconstruct various cosmological quantities of
interest, such as the Hubble parameter H(z) and its derivatives from H(z) data, as well as the
comoving distance and its derivatives from SNe Ia data. We construct consistency relations from
these quantities which should be valid only in the context of each model and test them with the
current data. We were able to find a general method of constructing such consistency relations in
the context of H(z) reconstruction. In the case of comoving distance reconstruction, there were
not a general method of constructing such relations and this work had to write an specific
consistency relation for each model. From H(z) data, we have analyzed consistency relations for
all the three above mentioned models, while for SNe Ia data we have analyzed consistency relations
only for flat and non-flat ΛCDM models. Concerning the flat ΛCDM model, some
inconsistency was found, at more than 2σ c.l., with the H(z) data in the interval
1.8 ≲ z ≲ 2.4, while the other models were all consistent at this c.l. Concerning the
SNe Ia data, the flat ΛCDM model was consistent in the 0 < z < 2.5 interval, at 1σ
c.l., while the nonflat ΛCDM model was consistent in the same interval, at 2σ c.l.
Ultrasonic scalpel based on fusiform phononic crystal structure
Authors: Wang 王 Sha 莎 , Shan 单 Junjie 俊杰 , Lin 林 Shuyu 书玉 
Published: August 2024

Abstract
In response to the ultrasonic scalpels with the vibrational modal coupling which leads to a decrease in efficiency, an ultrasonic scalpel based on fusiform phononic crystals (PnCs) is proposed. An accurate theoretical model is constructed, which is mainly composed of electromechanical equivalent circuit models to analyze the frequency response function and the frequency response curves of the admittance. Bragg band gaps exist in the fusiform PnCs owing to the periodic constraint, which can suppress the corresponding vibrational modes. The vibration characteristics (vibration mode, frequency, and displacement distribution) of the ultrasonic scalpel are analyzed, and the validity of the electromechanical equivalent circuit method is verified. The results indicate that other vibration modes near the working frequency can be isolated. In addition, blades based on fusiform PnCs have a function akin to that of the horn, which enables displacement amplification.
Dzyaloshinskii–Moriya interaction and field-free sub-10 nm topological magnetism in Fe/bismuth oxychalcogenides heterostructures
Authors: Wang 王 Yaoyuan 垚元 , You 游 Long 龙 , Chang 常 Kai 凯 , Yang 杨 Hongxin 洪新 
Published: August 2024

Abstract
Topological magnetism with strong robustness, nanoscale dimensions and ultralow driving current density (∼ 106 A/m2) is promising for applications in information sensing, storage, and processing, and thus sparking widespread research interest. Exploring candidate material systems with nanoscale size and easily tunable properties is a key for realizing practical topological magnetism-based spintronic devices. Here, we propose a class of ultrathin heterostructures, Fe/Bi2O2
X (X = S, Se, Te) by deposing metal Fe on quasi-two-dimensional (2D) bismuth oxychalcogenides Bi2O2
X (X = S, Se, Te) with excellent ferroelectric/ferroelastic properties. Large Dzyaloshinskii–Moriya interaction (DMI) and topological magnetism can be realized. Our atomistic spin dynamics simulations demonstrate that field-free vortex–antivortex loops and sub-10 nm skyrmions exist in Fe/Bi2O2S and Fe/Bi2O2Se interfaces, respectively. These results provide a possible strategy to tailor topological magnetism in ultrathin magnets/2D materials interfaces, which is extremely vital for spintronics applications.
Model predictive current control of Dual Three-phase Permanent Magnet Synchronous Motor based on double virtual vectors
Authors: Yao Lei , Liu Weiting 
Published: August 2024

Abstract
Model Predictive Control (MPC) of traditional Dual Three-phase Permanent Magnet Synchronous Motor (DTP-PMSM) algorithm often uses a single virtual vector to suppress harmonics, but its vector range is limited, resulting in a large ripple in torque and current in the control effect. Given the aforementioned issues, this study suggests a Double Virtual Vector Model Predictive Current Control (DVV-MPCC) strategy. Utilizing the foundation of the virtual vector, a zero vector and the adjacent virtual vector are combined to construct an anticipated voltage vector, so that the output range of the synthetic vector can reach any amplitude and direction. By incorporating the deadbeat concept, the calculation of the action time for each virtual vector is precisely determined. Finally, the prediction model is employed to refine the value function, enabling the selection of the optimal expected vector for implementation on the inverter. The simulation outcomes demonstrate the effectiveness of the strategy in mitigating torque ripple and current ripple.
White Rabbit time synchronization of unmanned aerial vehicle cluster based on adaptive kalman filtering
Authors: Gao Zhaoqiang , Zhang Heng , Zhang Nan , He Jiazhou 
Published: August 2024

Abstract
Unmanned Aerial Vehicle Cluster (UAVS) necessitates precise wireless time synchronization to leverage its multi-node distribution. Traditional wireless time synchronization methods are constrained by the unpredictable wireless network environment, as well as factors like synchronization node maneuvering, resulting in suboptimal time synchronization accuracy. This paper addresses these challenges by proposing a self-adaptive time synchronization method for UAVS, based on the characteristics of the White Rabbit (WR) protocol. Utilizing Synchronous Ethernet (Sync-E), we synchronize time and frequency among multiple Unmanned Aerial Vehicles (UAVs) to ensure the stability of each UAV’s time source. Furthermore, an inverse adaptive Kalman filtering computation is applied for time synchronization technology, incorporating adaptive filtering to mitigate the impact of network jitter on synchronization accuracy. Experimental verification is conducted on the UAVS, demonstrating the improved accuracy and stability of the proposed method compared to the traditional WR time synchronization method.
Analysis of cracking causes of angle steel in 220 kV transmission tower
Authors: Fan Pingcheng , Xie Liming , Hao Qingyun , Chen Hao 
Published: August 2024

Abstract
An experimental analysis was conducted on the cause of cracking in the angle steel of a 220 kV transmission tower using macroscopic inspection, chemical composition analysis, microstructure inspection, and other testing methods. The results show that the angle steel did not have a groove before welding with the filler material at the notch bending position. Severe incomplete penetration defects were formed during the welding process, resulting in a large stress concentration at the defect site. This is the main reason for its corrosion and fracture. It is suggested to focus on checking for cracks during welding construction and strengthening the inspection of the welding quality of the angle steel of the transmission tower during the infrastructure stage for the bending part of the angle steel notch.
Effect of acoustic filler on sound insulation properties of millable polyurethane rubber
Authors: Han Xiao , Zhang Zhaoyang , Zhang Ling , Cheng Wei 
Published: August 2024

Abstract
Millable polyurethane (MPU) compound was prepared by mechanical blending with millable polyurethane as matrix material, hollow glass microspheres (HGM), and mica as acoustic fillers. Curing characteristics, mechanical properties, morphology, and damping capacity were characterized by a moving die rheometer, universal testing machine, scanning electron microscope (SEM), and thermomechanical analyzer. The results show that t90 has been shortened from 22 minutes and 33 seconds to 19 minutes and 46 seconds, ΔMH increased to 25.82 dN-m, the modulus increased, the maximum loss factor decreased, and the damping temperature range domain remained unchanged. The mechanical properties were better, the tensile strength was 20.5 MPa, the morphology was more complete, and the sound insulation was higher when HGM/mica content was 5/5 phr.
Interfacial morphology and reliability of GaN nanocomposite Sn-Ag-Cu lead-free braze joints
Authors: Liu Shaoxuan , Qu Min , Li Hang , Liu Yuan , Cui Yan 
Published: August 2024

Abstract
GaN nanoparticles, in varying mass fractions (0 wt%, 0.20 wt%, 0.40 wt%, 0.60 wt%, and 0.80 wt%), were integrated into a Sn-3.0Ag-0.5Cu lead-free solder using mechanical mixing followed by reflow soldering. The solders underwent isothermal aging at 170°C for different durations to assess the influence of GaN content on the melting characteristics, wettability, and growth behavior of the intermetallic compound (IMC) in the Sn-3.0Ag-0.5Cu solder. Findings indicate that GaN incorporation does not markedly alter the melting point of SAC305. However, a moderate GaN addition enhances the wettability of Sn-3.0Ag-0.5Cu, with the optimal effect observed at 0.40 wt% GaN, where the wettability is improved by 61.5% relative to the base solder. Furthermore, GaN addition serves to curtail the IMC layer’s growth, which, while it thickens with prolonged isothermal aging, does so at a rate governed by diffusion. At 0.40 wt% GaN, the diffusion coefficient is determined to be 1.453×10-15 m2/s, underscoring the superior performance of the novel SAC305-0.4GaN composite solder.
Research on the process of vertical water entry experiment of truncated cone-shaped projectile
Authors: Zhang Zhiyong 
Published: August 2024

Abstract
In order to study the influence of the diameter and velocity of the truncated head on the cavitation and motion characteristics of the projectile when it enters the water vertically, based on the high-speed camera method, the contrast experiment of the different diameter of the truncated head is carried out, and the influence law of the diameter and velocity of the head on the cavitation and motion velocity is obtained. The experimental results show that the velocity change law of the projectile in the deep closed state is basically the same, and the velocity change law in the process of turning the surface closed state begins to change; With the increase of the initial velocity of the projectile, the earlier the surface closure occurs, the earlier the separation of the cavitation from the tail cavity is, and the later the tail cavity contacts with the liquid surface; In the stage of surface closure, the general velocity rule of the projectile is: first increasing then decreasing, then increasing after smooth transition. When the velocity is high, the law of velocity changes to continuous decline.
Study on constitutive model and mechanical performance test simulation of 6082-T6 based on genetic optimization algorithm
Authors: Chen Suokun , Zhang Qinmin 
Published: August 2024

Abstract
Through the tensile test of 6082-T6 aluminum alloy sample, the mechanical properties parameters of the material (specified non-proportional tensile strength, tensile strength, elastic modulus E, elongation at break, proportional limit, Poisson’s ratio and strain hardening coefficient N) and the calculation method of strain hardening coefficient N of the constitutive model are analyzed and studied. A method of compiling a genetic algorithm (Ga) based on the Matlab platform to solve the hardening index of aluminum alloy materials is proposed. The results show that 6082-T6 aluminum alloy has good tensile strength and ductility, and the mechanical parameters are less than 3% compared with the national standard. The optimized algorithm is more stable than the traditional method in solving the hardening index n=21. The real stress-strain curve verifies the correctness of the obtained constitutive model, which can be used to predict the mechanical properties of aluminum alloy materials.
Split-tensile strength and micro-structure analysis of hybrid fibers coal gangue concrete
Authors: Li Jiuyang , Luo Jingwei , Fan Xinmei , Zhu Yuepeng , Wang Xiaoyu , Chen Li , Li Fan , Zhang Zicheng 
Published: August 2024

Abstract
To make the coal gangue better applied and engineered, through four factors (Coal gangue ceramicist [CGc] Substitution, coal gangue ceramic sand [CGs] Substitution, end-hooked steel fiber [SF], polypropylene fiber [PF]) four-level orthogonal test was conducted to explore the variation of Split-tensile strength of mixed-fiber coal gangue concrete and the strengthening mechanism of hybrid fiber on split-tensile strength of Coal-gangue concrete is analyzed from the microscopic point of view. The results show that the sequence of factors affecting the split-tensile strength is substitution rate of CGs > substitution rate of CGc > incorporation amount of SF > incorporation amount of PF. The optimal admixture combination is: CGc substitution rate of 30%, CGs substitution rate of 25%, SF incorporation rate of 1.00%, and PF incorporation rate of 0.2%. The spatial framework formed by hybrid fibers can enhance the stability of the ITZ to bond inner material tightly, thus enhancing the split-tensile strength of concrete.
Establishment and validation of mixed solid degenerate shell elements
Authors: Jin Xinlei , Qing Guanghui 
Published: August 2024

Abstract
Based on the generalized mixed variational principle, a 20-node generalized mixed degenerate shell element is proposed from the 20-node 3D spatial isoparametric element, and the basic assumptions of the plate and shell theory are introduced. Several typical examples are analyzed statically. In the case of the same finite element model, due to the introduction of stress boundary conditions, the result accuracy of the generalized mixed solid degenerate shell element is better than that of the conventional displacement element. The deflections of plate-shell structures with different thickness-to-span ratios are also analyzed, and the generalized mixed solid-degenerate shell element is insensitive to the span-to-thickness ratio. Numerical calculations result in stable convergence, reliability, and high accuracy.
Design Opportunities to Foster Independent Living: Insights from Working Age Persons with Disabilities from Thailand
Authors: Udomcharoenchaikit Pin , Kongchaimongkhon Warunyu , Areekit Poonsub , Bamroongvuth Atikarn 
Published: August 2024

Abstract
This paper explores design opportunities that could enhance the independent living experience of working-age individuals with disabilities in Thailand. It emphasizes the role of empathy in the design process, as it was the initial step in the design-thinking method. The empathy process was conducted under the phenomenological research in psychology method. The process involving in-depth interviews of working-age participants with mobility, visual, hearing, and cognitive impairments which are the majority of people with disabilities in Thailand. The sample included 10 participants with mobility impairments, 10 with visual impairments, 5 with hearing impairments, and 7 with intellectual impairments. They participated through self-selection (volunteer) sampling method. The findings of the study revealed key areas for improvement, including accessibility, technology, and social support. Participants expressed a desire for inclusive design solutions that prioritize ease of use, enrichment, and comfort. The paper highlights the importance of understanding, empathizing, and considering the needs and experiences of individuals with disabilities when designing products, services, and places. By doing so, designers across disciplines can develop more meaningful solutions that address their unique needs and challenges. The results of this research contribute to the ongoing conversation on designing for inclusivity and highlight the potential for design to positively impact the lives of individuals with disabilities. The limitations of this research were the use of volunteer sampling method may introduce selection bias, and the impact of Covid-19 outbreak could interrupt the interview result. Further studies might explore other demographics and delve deeper into areas like technology and social support to understand nuanced needs.