bluuebunny/crossref_metadata_2025_split huggingface dataset:
Control of interfacial reaction and defect formation in Gd/Bi2Te2.7Se0.3 composites with excellent thermoelectric and magnetocaloric properties
Authors: Xue 薛 Tianchang 天畅 , Wei 魏 Ping 平 , Liu 刘 Chengshan 承姗 , Li 李 Longzhou 龙舟 , Zhu 朱 Wanting 婉婷 , Nie 聂 Xiaolei 晓蕾 , Zhao 赵 Wenyu 文俞 
Published: May 2024

Abstract
The method to combine thermoelectric (TE) and magnetocaloric (MC) cooling techniques lies in developing a new material that simultaneously possesses a large TE and good MC cooling performance. In this work, using n-type Bi2Te2.7Se0.3 (BTS) as the TE base material and Gd as the second-phase MC material, Gd/BTS composites were prepared by the spark plasma sintering method. In the composites, interfacial reaction between Gd and BTS was identified, resulting in the formation of GdTe, which has a large impact on the electron concentration through the adjustment of defect concentration. The MC/TE composite containing 2.5 wt% Gd exhibited a ZT value of 0.6 at 300 K, essentially retaining the original TE performance, while all the composites largely maintained the excellent MC performance of Gd. This work provides a potential pathway to achieving high performance in MC/TE composites.
Single crystal growth and transport properties of narrow-bandgap semiconductor RhP2
Authors: Wu 吴 De-Sheng 德胜 , Zheng 郑 Ping 萍 , Luo 雒 Jian-Lin 建林 
Published: May 2024

Abstract
We report the growth of high-quality single crystals of RhP2, and systematically study its structure and physical properties by transport, magnetism, and heat capacity measurements. Single-crystal x-ray diffraction reveals that RhP2 adopts a monoclinic structure with the cell parameters a = 5.7347(10) Å, b = 5.7804(11) Å, and c = 5.8222(11) Å, space group P21/c (No. 14). The electrical resistivity ρ(T) measurements indicate that RhP2 exhibits narrow-bandgap behavior with the activation energies of 223.1 meV and 27.4 meV for two distinct regions, respectively. The temperature-dependent Hall effect measurements show electron domain transport behavior with a low charge carrier concentration. We find that RhP2 has a high mobility μ
e ∼ 210 cm2⋅V−1⋅s−1 with carrier concentrations n
e ∼ 3.3 × 1018 cm−3 at 300 K with a narrow-bandgap feature. The high mobility μ
e reaches the maximum of approximately 340 cm2⋅V−1⋅s−1 with carrier concentrations n
e ∼ 2 × 1018 cm−3 at 100 K. No magnetic phase transitions are observed from the susceptibility χ(T) and specific heat C
p(T) measurements of RhP2. Our results not only provide effective potential as a material platform for studying exotic physical properties and electron band structures but also motivate further exploration of their potential photovoltaic and optoelectronic applications.
Moiré superlattices arising from growth induced by screw dislocations in layered materials
Authors: Tian 田 Fuyu 伏钰 , Faizan Muhammad , He 贺 Xin 欣 , Sun 孙 Yuanhui 远慧 , Zhang 张 Lijun 立军 
Published: May 2024

Abstract
Moiré superlattices (MSLs) are modulated structures produced from homogeneous or heterogeneous two-dimensional layers stacked with a twist angle and/or lattice mismatch. Enriching the methods for fabricating MSL and realizing the unique emergent properties are key challenges in its investigation. Here we recommend that the spiral dislocation driven growth is another optional method for the preparation of high quality MSL samples. The spiral structure stabilizes the constant out-of-plane lattice distance, causing the variations in electronic and optical properties. Taking SnS2 MSL as an example, we find prominent properties including large band gap reduction (∼ 0.4 eV) and enhanced optical activity. First-principles calculations reveal that these unusual properties can be ascribed to the locally enhanced interlayer interaction associated with the Moiré potential modulation. We believe that the spiral dislocation driven growth would be a powerful method to expand the MSL family and broaden their scope of application.
Cross-method Analysis of Corotation Radii Data Set for Spiral Galaxies
Authors: Kostiuk V. S. , Marchuk A. A. , Gusev A. S. 
Published: May 2024

Abstract
A corotation radius is a key characteristic of disk galaxies that is essential to determine the angular speed of the spiral structure Ω
p
, and therefore understand its nature. In the literature, there are plenty of methods to estimate this value, but do these measurements have any consistency? In this work, we collected a data set of corotation radius measurements for 547 galaxies, 300 of which had at least two values. An initial analysis reveals that most objects have rather inconsistent corotation radius positions. Moreover, a significant fraction of galactic disks is distinguished by a large error coverage and almost uniform distribution of measurements. These findings do not have any relation to spiral type, Hubble classification, or presence of a bar. Among other reasons, obtained results could be explained by the transient nature of spirals in a considerable part of galaxies. We have made our collected data sample publicly available, and have demonstrated on one example how it could be useful for future research by investigating a winding time value for a sample of galaxies with possible multiple spiral arm patterns.
Stability and transport of gyrokinetic critical pedestals
Authors: Parisi J.F. , Nelson A.O. , Guttenfelder W. , Gaur R. , Berkery J.W. , Kaye S.M. , Barada K. , Clauser C. , Diallo A. , Hatch D.R. , Kleiner A. , Lampert M. , Macwan T. , Menard J.E. 
Published: May 2024

Abstract
A gyrokinetic threshold model for pedestal width–height scaling prediction is applied to multiple devices. A shaping and aspect ratio scan is performed on National Spherical Torus Experiment (NSTX) equilibria, finding

Δ

ped

=
0.92

A

1.04

κ

−
1.24

0.38

δ

β

θ
,

ped

1.05

for the wide-pedestal branch with pedestal width

Δ

ped

, aspect ratio A, elongation κ, triangularity δ, and normalized pedestal height

β

θ
,

ped

. The width–transport scaling is found to vary significantly if the pedestal height is varied either with a fixed density or fixed temperature, showing how fueling and heating sources affect the pedestal density and temperature profiles for the kinetic-ballooning-mode (KBM) limited profiles. For an NSTX equilibrium, at fixed density, the wide branch is

Δ

ped

=
0.028

(

q
e

/

Γ
e

−
1.7
)

1.5

∼

η
e

1.5

and at fixed temperature

Δ

ped

=
0.31

(

q
e

/

Γ
e

−
4.7
)

0.85

∼

η
e

0.85

, where

q
e

and

Γ
e

are turbulent electron heat and particle fluxes and

η
e

=
∇
ln
⁡

T
e

/

∇
ln
⁡

n
e

for an electron temperature

T
e

and density

n
e

. Pedestals close to the KBM limit are shown to have modified turbulent transport coefficients compared to the strongly driven KBMs. The role of flow shear is studied as a width–height scaling constraint and pedestal saturation mechanism for a standard and lithiated wide pedestal discharge. Finally, the stability, transport, and flow shear constraints are combined and examined for an NSTX experiment.
Heterogeneous Feature Fusion for Improving Performance of Action Detection
Authors: Babazaki Yasunori , Iwamoto Kota , Takahashi Katsuhiko , Li Kai , Patel Deep , Kruus Erik , Peter Graf Hans 
Published: May 2024

Abstract
We present a novel framework aimed at improving video action detection through the integration of heterogeneous features. Conventional action detection methods which focus on modeling the relationships between person/object instances rely exclusively on video features and do not exploit valuable intra-instance heterogeneous features, such as person pose, positional information or object category, that can support action recognition. Our proposed framework, termed Heterogeneous Feature Fusion (HFF) framework, addresses this limitation by integrating such intra-instance heterogeneous features for person/object instances, and can improve existing action detection methods. To efficiently exploit each heterogeneous feature, which vary in importance depending on actions and/or scenes, we introduce an attention mechanism to dynamically enhance important heterogeneous features within an instance. Experiments on JHMDB and AVA v2.2 datasets show that our HFF significantly enhances the action detection performance of two existing methods.
Adaptive Sampling Offspring Generation Strategy for Multi-objective Optimization
Authors: Wang Ningning , Fan Jun , Liu Tingrui , Kang Honglong , Zhang Wenbo , Song Shenmin 
Published: May 2024

Abstract
A covariance adaptive sampling offspring generation strategy (CASS) based on fuzzy clustering is proposed, and a multi-objective distribution estimation algorithm (MEDCA) based on this strategy is introduced. The GK-FCM clustering partitioning strategy is designed to build a Gaussian model for each individual, collectively approximating the manifold of the Pareto solution set and generating offspring through sampling. The introduction of an individual’s survival generation adapts the individual’s preference for exploration and exploitation. This is achieved by incorporating it as a scaling factor of the covariance matrix in the sampling model, in order to satisfy the individual’s preferences for development and exploration in different evolutionary stages. This method significantly improves the performance of MEDCA in solving complex multi-objective optimization problems through covariance matrix adaptation sampling strategy and scaling factor adaptation strategy. The experimental results demonstrate the advantages of MEDCA in the application of offspring generation strategies during model sampling.
Multi-Scale Contextual Swin Transformer for Crop Image Segmentation
Authors: Xu Xiaoyu , Zou Jinding , Cai Jie , Zou Dafang 
Published: May 2024

Abstract
Combining UAV-based remote sensing with deep learning for image segmentation is a particularly innovative and effective technology in modern agriculture. This approach allows for detailed and precise analysis of agricultural fields, such as crop monitoring, yield prediction, and irrigation management, enhancing decision-making and farm management practices. Inspired by the recent advancements of Transformers in computer vision, this paper introduces the Multi-Scale Contextual Swin Transformer (MSC-Swin), a novel model for precise segmentation of UAV crop images. MSC-Swin innovatively combines a Swin Transformer architecture for detailed feature extraction with pooling operations to utilize multi-scale contextual information. Our extensive experimentation demonstrates that MSC-Swin not only achieves state-of-the-art performance on the Barley Remote Sensing dataset, with a record mIoU of 86.4% on the test set, but also exhibits robustness and excellent generalizability.
Research on deflection correction performance of movable crossbeam during pressurization of ultra-large hydraulic press
Authors: Li Xiaohui , Wang Jie , Hao Tiewen , Li Defei , Tan Jianping , Han Kunpeng , Liu Yao , Huang Xiaoxuan 
Published: May 2024

Abstract
In this paper, the deflection of the movable crossbeam during the pressurization process of the ultra-large hydraulic press is studied. The electromechanical and hydraulic systems of the ultra-large hydraulic press are analyzed, and a joint AMESim-ADAMS simulation model of the mechanical system, the oil system, and the correction control system are established. The simulation analyzes the deflection control of the working cylinder in the 1600 MN pressurized state, the movable crossbeam in the positive load without deflection correction, positive load with deflection correction, eccentric load with 300 mm of deflection in X-positive direction, and eccentric load with 300 mm of deflection in XZ-positive direction. The results show that the correction control system needs to be turned on synchronously at the beginning of the pressurization; under the pressure of 1600 MN and the maximum eccentricity of 300 mm, the velocity error of the movable crossbeam can be controlled within 7 %, and the parallel control precision can reach 0.14 mm/m.
Topology optimization of the wheel frame of the tracked robot with multiple working conditions and multiple objectives
Authors: Wang Jinghua , Huang Jiangnan , Li Jinyu , Wang Chen 
Published: May 2024

Abstract
Based on ensuring the static stiffness and dynamic vibration frequency of the caterpillar robot wheel frame under various working conditions, the lightweight design of the caterpillar robot wheel frame is realized. The compromise programming approach is used to establish the multi-objective optimization function and three typical target conditions are simulated and analyzed. An analytic hierarchy process is used to determine the weight coefficient of each target working condition, and the topology optimization of the wheel frame of the tracked robot is carried out comprehensively, considering multi-working conditions and multi-target. The secondary design of the optimized rear wheel frame was carried out, as a result of which, the mass was reduced by 8.4% after optimization, and the first-order frequency was increased by 20 Hz after optimization. The optimized rear wheel frame strength and stiffness met the requirements.
Design and simulation analysis of heat dissipation structure of motherboard of a certain type of portable rugged computer
Authors: Li Shaodong , Guo Xiao 
Published: May 2024

Abstract
The portable rugged computer generally needs to adapt to high temperatures, hot and humid, and other harsh environments, while taking into account its portability, the machine cooling space is limited, and the motherboard carries the CPU, graphics cards, and other major heat-producing components. Therefore, some problems often occur due to the irrational design of the motherboard cooling structure, resulting in poor adaptability to high-temperature environments, arithmetic performance being difficult to fully play, and so on. In this paper, based on the use of a certain type of portable rugged computer requirements, a motherboard cooling structure is designed through the thermal structure, fan and increasing the heat dissipation area and other forms, and the type of computer cooling effect has been measured by simulation analysis and experimental verification to verify that it can enhance the cooling effect, to provide a better reference for the same type of portable rugged computer motherboard cooling structure design.
Direct torque motor control technology based on NPC three-level SVPWM
Authors: Li Zesheng , Li Lin 
Published: May 2024

Abstract
This paper introduces a direct torque control technology based on NPC three-level SVPWM. It uses the Matlab platform to build a simulation model. It verifies the ideal waveform of the torque, magnetic chain, and current of the NPC-SVPWM direct torque control system under high speed and low speed with no load and load. This technique improves the waveform of the stator current and stator magnetic chain and solves the problem of the switching frequency not being fixed. Through this technique, it not only retains the robustness of the direct torque technique to the parameter change, but also effectively reduces the torque pulsation.
Research on VIENNA rectifier QPR control and soft start
Authors: Gao Guangwei , Chen Xikun , Sun Ze , Xu Haotian , Ju Chenyu , Zhang Kesong 
Published: May 2024

Abstract
The principle and operation of the VIENNA rectifier is examined and the VIENNA mathematical model is developed. To address the issue that the three-phase VIENNA rectifier’s double PI controller finds it challenging to attain both rapidity and accuracy, a double closed-loop control approach consisting of inner loop quasi-proportional resonant control (QPR) and outer loop PI control is created. Aiming at the problems of inrush current on the grid side and DC bus voltage overshoot caused by the VIENNA rectifier in the startup process, the paper makes a theoretical analysis and designs a soft startup strategy. Then, the simulation model of the three-phase VIENNA rectifier control system was built in Simulink, which verified the correctness of the QPR control strategy and soft start scheme. Finally, an 8-kW prototype is set up, and the experimental results further confirm the effectiveness of the slope setting of the current.
Exploration of a high-precision measurement scheme for current sensors based on diamond NV color centers
Authors: Zhao Long , Wang Xin , Qiu Rujia , Song Dongbo , Tian Teng , Geng Jiaqi , Zhao Bowen , Zhang Shaochun 
Published: May 2024

Abstract
A high-precision measurement scheme for current sensors based on diamond NV color centers was verified. In the research process, diamond crystals containing a large number of NV color centers are applied as the probe of the sensor, and the magnetic field generated by the current is measured to explore the relationship between the current intensity and the fluorescence intensity of the NV color centers and the polarization resonance, to carry out simulation experiments, and finally to obtain the results of the effect of the concentration of the NV color centers on the performance of the sensor. The results of simulation experiments show that the accuracy of the current measurement is within 100-500 A, and the result is 0.3%. By applying NV color centers to current measurement, good results have been obtained in terms of accuracy and frequency response range, enabling high-precision current measurement as well as providing monitoring and analysis of high-frequency current inrush.
Residual stress analysis of plasma sprayed coatings through the weak magnetic field testing method
Authors: Zhao Chenguang , Zhan Xianglin , Wang Zhipeng 
Published: May 2024

Abstract
A proposed technique for swiftly evaluating coating stress variations involves utilizing weak magnetic detection under geomagnetic field conditions. This method examines the surface magnetic induction strength on uncoated test specimens, analyzing the magnetic induction change pre- and post-spraying. Employing the Almen test method, the assessment of specimen deflection and residual stress magnitude affirms the viability of weak magnetic detection for assessing coating residual stress. The experimental findings establish a direct link between the rate of magnetic induction intensity change and residual stress magnitude through polynomial fitting, suggesting that weak magnetic detection can preliminarily analyze coating stress variation.
Research on WSN clustering algorithm of firefly algorithm to optimize k-means
Authors: Zheng Xinying 
Published: May 2024

Abstract
Aiming at the problem that uneven clustering of wireless sensor networks leads to large energy consumption differences between clusters and short network lifetime, this paper proposes a clustering routing algorithm of WSN based on the Firefly algorithm to optimize k-means (FAKMC). This paper mainly studies the clustering stage of the network, adopts the k-means algorithm for node partition, and uses the improved FA to optimize the sensitive problem of the initial clustering centre of k-means. Simulation results show that, compared to LEACH and k-means, the clustering result proposed in this paper is more uniform and can extend the network life cycle.
Research on prediction of water target motion status of unmanned surface vehicle based on lidar
Authors: Bao Jiawei , Wang Fei , He Yunqian , Wang Xiaochuan , Lu Zhiqing , Miao Songcheng 
Published: May 2024

Abstract
To improve the perception ability of unmanned boats on water targets and improve the autonomous collision avoidance function of unmanned boats, the problem of target motion state prediction is studied and a method for predicting the motion state of unmanned water targets based on lidar is proposed. Firstly, a three-dimensional point cloud space model is established and the down-sampling and clutter filtering are completed through various filters. Secondly, based on European clustering target segmentation, a target tracking algorithm combined with 3D-IOU metric is proposed to achieve target tracking. Finally, the Kalman filter is introduced for denoising, combined with the iterative closest point algorithm (Iterative Closest Point, ICP) and the centroid calculation algorithm to realize the prediction of the target speed and course. After the test on the lake, the method can meet the real-time requirements, complete the accurate prediction of the target motion state and control the error at a low level. At the same time, this method can also lay the foundation for the development of subsequent autonomous navigation tasks of unmanned vehicles.
Improved weighted centroid localization algorithm based on multiple magnetic beacons
Authors: Wang Zixuan , Huang Yongming , Chen Jun , Wang Chaowen 
Published: May 2024

Abstract
To address challenges associated with the traditional drill positioning method, which demands manual walking tracking and imposes stringent environmental conditions, this paper introduces an improved weighted centroid localization (WCL) algorithm based on multiple magnetic beacons. This algorithm alleviates the environmental requirements. Initially, a magnetic beacon measurement model immune to sensor attitude is formulated, followed by the development of a positioning model based on multiple magnetic beacons. The WCL algorithm is then introduced and refined for positioning with multiple magnetic beacons. Finally, the effectiveness of the proposed approach is validated through simulation experiments, revealing an average error of 0.632 m in large-scale positioning. This demonstrates clear advantages over traditional methods, making it highly applicable.
Far UV coatings for liquid-Ar time projection chambers
Authors: Larruquert J.I. , López-Reyes P. , Gutiérrez-Luna N. , Honrado-Benítez C. , Pesudo V. 
Published: May 2024

Abstract
Liquid Ar (LAr) and liquid Xe (LXe) time projection chambers (TPCs) are used for many applications in neutrino physics and direct dark matter searches. The performance of these detectors, particularly dual-phase ones, depends very strongly on the efficiency for detecting the far ultraviolet (FUV) scintillation light. Such detection is particularly challenging for LAr, in which the strongest scintillation feature is observed at a wavelength of 127 nm (175 nm for LXe). The current mainstream approach is covering the optical surfaces with a wavelength shifter, which absorbs de FUV light and emits at wavelengths that overlap with the optical band, where commercial devices have higher detection efficiency. This work presents coatings designed to enhance the optical properties of the detector materials and to be an alternative to the current technique. In particular, two possible coatings are proposed: narrowband and broadband FUV reflective coatings. The narrowband coatings are tuned at the FUV scintillation light. They provide a large reflectance at the design angle; additionally, these coatings are naturally transparent at longer wavelengths, which might be useful to selectively detect the wavelength of interest. Their performance is evaluated taking into account the refractive index of LAr and as a function of the angle of incidence. The same calculations are performed for an aluminium-based broadband mirror. Finally, the effect on reflectance of submerging both sorts of mirrors at liquid nitrogen temperature is presented.
A low crosstalk 768-channel of 14-bit analog to digital converters for high resolution array of detectors
Authors: Dzahini D. , Zeloufi M. , Gallin-Martel L. 
Published: May 2024

Abstract
This paper presents the design and measurement results of a 768-channel of a 14-bit analog to digital converters. Each sampling channel is equivalent to a pitch of only 8.5 μm with a possible sampling rate from 40 KS/s up to 100 KS/s. Test results show crosstalk of just +/-1 LSB. The circuit architecture and layout structure make it scalable to an exceptionally large format of detectors beyond 1000 channels. The circuit is designed to be used as a side element for multi-channel readout systems or as an IP for transfer to very dense integrated circuits.