bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of the interfacial states on the spin-dependent tunneling of Mn3Al-based magnetic tunnel junction
Authors: Qiu Minzheng , Ye Shizhuo , Wang Wei , He Jin , Chang Sheng , Wang Hao , Huang Qijun 
Published: December 2020

Abstract
The study of antiferromagnets (AFMs) has become one of the hotspots of spintronics because of their strong environmental adaptability; however, their magnetic ordering structure limits their practical application. The compensated ferrimagnet Mn3Al has the characteristics of an AFM and the magnetic moment can be controlled by a magnetic field. The successful synthesis of Mn3Al, which possesses a high Curie temperature (605 K), may lead to new applications in spintronics devices. In this work, the electronic structure of free Mn3Al (001) surfaces and the interface effects of the Mn3Al electrode and the GaAs tunnel barrier in the magnetic tunnel junction (MTJ) are investigated with the non-equilibrium Green’s function method. Although redistribution of the partial density of states between the surface and bulk is observed for the two different types of Mn3Al surfaces, the half-metallicity is retained for both the surface structures. Due to the half-metallicity of the surfaces, the tunneling magnetoresistance (TMR) of the MTJ reaches up to 107%. Moreover, the TMR dependence on the GaAs barrier thickness as well as the interface is studied. Through the visual display of the interface states, we find that the interface states can promote electron tunneling in the antiparallel configuration. The high TMR can be maintained at a small barrier width owing to the weak interface states. The results are explained with the transmission coefficient in reciprocal space. This work provides some physical insight for the design and implementation of Mn3Al-based MTJs.
Observing the magnetization reversal processes and anisotropic effective damping of epitaxial FeSi/MgO (001)
Authors: Guo X B , Jiang Y P , Lu X L , Tang X G , Tang Z H , Liu Q X , Li W H , Zuo Y L , Xi L 
Published: December 2020

Abstract
Epitaxial FeSi film on MgO (001) substrate was fabricated via a radio frequency magnetron sputtering technology. The epitaxial relationship of FeSi(001)/[110]//MgO(001)/[100] was characterized by crystal structure measurements and confirmed by in-plane biaxial magnetic anisotropy through vibrating sample magnetometer (VSM). By measuring Kerr magnetic hysteresis loops and recording the real-time magnetic domain images through surface magneto-optic Kerr effect (MOKE), two successive 90° domain wall displacement along easy axis and two discontinuous 90° domain wall displacement along hard axis were directly observed. Meanwhile, the difference of magnetic hysteresis loops obtained by VSM and MOKE devices were discussed. Furthermore, from the results of magnetic field sweeping ferromagnetic resonance measurements, it was found that FeSi film possesses an anisotropic effective damping constant of 0.0042 for easy axis direction and 0.0053 for hard axis direction, which was ascribed to the crystallographic defects induced two magnon scattering contributions.
Calibration methodology for contact heat flux sensors with enhanced accuracy
Authors: Rizzo G , Christen R , Stöck M 
Published: December 2020

Abstract
This paper presents a method for the calibration of contact heat flow sensors and the measures taken to improve the overall standard uncertainty of the measurements. This may be particularly relevant for applications such as the thermal characterization of Li-ion battery cells, where small amounts of transferred heat must be measured. The designed calibration set-up is based on the measurement of temperature gradients within a reference object, which is a common and well known approach. However, certain aspects must be considered in order to obtain accurate results. In this paper all steps taken to improve the overall measurement uncertainty are described. One of the most important characteristics of the presented methodology is the experimental determination of an equivalent thermal conductivity of the used reference object. To do so, a single-sided guarded hot plate apparatus is integrated into the calibration set-up to generate a precisely known heat flow. This approach is comparable to the determination of the ‘energy equivalent’ in calorimeters. The measured equivalent thermal conductivity agrees well to literature values, but the achieved standard uncertainty is significantly lower. By way of example, the calibration method is applied on a thermoelectric generator, where the temperature dependent sensitivity and the Seebeck coefficient are determined and compared to literature values. The average standard uncertainty of the sensor sensitivity is ±1.86%, which is lower than most results published in the literature. At 20 °C the absolute value of the determined Seebeck coefficient of the examined thermoelectric element is only 2.7% higher than the value expected for the used material (

B

i
2

T

e
3

).
The 3D reconstruction method of a line-structured light vision sensor based on composite depth images
Authors: Wang Jiahao , Zhou Zhehai 
Published: December 2020

Abstract
In order to simplify the three-dimensional (3D) reconstruction process of a rotating scanning line-structured light vision sensor, a 3D reconstruction method of composite depth images is proposed. First, a frame of an image acquired by a camera at a constant speed is converted into a column of data in the composite pixel image. Second, the composite pixel image is transformed into a depth image via coordinate transformation. Finally, the 3D coordinates of the object are calculated from the depth image by perspective transformation. The parameters of the light plane are calibrated by using a one-dimensional target, and the focal length of the depth image is calibrated by using a ball target. Compared with the traditional 3D reconstruction method of a structured light vision sensor, this method uses a composite depth image instead of point cloud splicing, which is simple to operate and flexible to calibrate, and further improves the efficiency of the 3D reconstruction of a structured light vision sensor. Experiments show that the absolute error of the 3D measurement in the measurement range of 380–4000 mm is less than 0.21 mm, and the accuracy is higher than 0.26%, which significantly improves the measurement efficiency and point cloud density of the system, and can meet the general 3D reconstruction requirements of the scene.
MoO2@C modified separator as an interlayer for high performance lithium–sulfur batteries
Authors: Li Qian , Wang Yasai , Wang Yang , Yang Liwen , Chen Yanxiao , Guo Xiaodong , Wu Zhenguo , Zhong Benhe , Xiang Wei 
Published: December 2020

Abstract
Lithium–sulfur batteries have attracted much attention as a promising next-generation energy storage system due to their high theoretical specific capacity and energy density. However, lithium–sulfur batteries are still facing some problems that hinder their large-scale commercial application. High conductivity molybdenum dioxide coated with carbon composite (MoO2@C) were introduced to coat the separator to study its application in lithium sulfur batteries. Molybdenum dioxide coated with carbon composite nanoparticles were synthesized by hydrothermal method and high-temperature calcination and then was coated on the separator with acetylene black. The coating layer can take advantage of the synergetic effect of physical barrier and chemical adsorption to reduce the loss of active substances. The electrochemical performance of the battery has been improved by applying MoO2@C in lithium–sulfur separator. The first discharge specific capacity is 917 mA h g−1 under the current density of 1.0 A g−1, after 300 cycles, the capacity is 618 mA h g−1; after 200 cycles under the current density of 2.0 A g−1, the reversible specific capacity can still maintain 551 mA h g−1.
Hole transport free flexible perovskite solar cells with cost-effective carbon electrodes
Authors: Xie Haixia , Yin Xingtian , Guo Yuxiao , Liu Dan , Liang Tong , Wang Gangfeng , Que Wenxiu 
Published: December 2020

Abstract
Low temperature derived carbon electrodes are employed to fabricate low cost hole transport layer free perovskite solar cells, in which perovskite films annealed in glovebox and ambient air are used as the absorbers, respectively. Results suggest that the air annealed sample has bigger crystal grains and higher crystallinity, and the existence of a small amount of lead iodide which passivates grain boundaries contributes to a lower trap density. As a result, a maximum power conversion efficiency (PCE) of 13.07% was obtained on the air annealed device, which is higher than those of devices annealed in glovebox (11.25%). Furthermore, the stability of unencapsulated devices stored in wet (with humidity around 90% ± 5%) air atmosphere are investigated and the results prove that our devices exhibit good stability. In addition to rigid devices, flexible perovskite solar cells are also fabricated using the same procedure. The highest PCE of 11.53% is demonstrated on the champion flexible device, and 69% of its initial PCE can be maintained even after 2000 bending cycles with a bending radius of 2 mm. Our work provides a promising and simple rout for low-cost, air-stable, high-efficiency carbon perovskite solar cells for both large area production and flexible electronic devices industry.
Dynamics of momentum distribution and structure factor in a weakly interacting Bose gas with a periodical modulation
Authors: Liu Ning , Tu Z C 
Published: December 2020

Abstract
The momentum distribution and dynamical structure factor in a weakly interacting Bose gas with a time-dependent periodic modulation in terms of the Bogoliubov treatment are investigated. The evolution equation related to the Bogoliubov weights happens to be a solvable Mathieu equation when the coupling strength is periodically modulated. An exact relation between the time derivatives of momentum distribution and dynamical structure factor is derived, which indicates that the single-particle property is strongly related to the two-body property in the evolutions of Bose–Einstein condensates. It is found that the momentum distribution and dynamical structure factor cannot display periodical behavior. For stable dynamics, some particular peaks in the curves of momentum distribution and dynamical structure factor appear synchronously, which is consistent with the derivative relation.
Soliton and other solutions to the (1 + 2)-dimensional chiral nonlinear Schrödinger equation
Authors: Hosseini K , Mirzazadeh M 
Published: December 2020

Abstract
The (1 + 2)-dimensional chiral nonlinear Schrödinger equation (2D-CNLSE) as a nonlinear evolution equation is considered and studied in a detailed manner. To this end, a complex transform is firstly adopted to arrive at the real and imaginary parts of the model, and then, the modified Jacobi elliptic expansion method is formally utilized to derive soliton and other solutions of the 2D-CNLSE. The exact solutions presented in this paper can be classified as topological and nontopological solitons as well as Jacobi elliptic function solutions.
Novel localized wave solutions of the (2+1)-dimensional Boiti–Leon–Manna–Pempinelli equation
Authors: Sun Li , Qi Jiaxin , An Hongli 
Published: December 2020

AbstractBased on a special transformation that we introduce, theN-soliton solution of the (2+1)-dimensional Boiti–Leon–Manna–Pempinelli equation is constructed. By applying the long wave limit and restricting certain conjugation conditions to the related solitons, some novel localized wave solutions are obtained, which contain higher-order breathers and lumps as well as their interactions. In particular, by choosing appropriate parameters involved in theN-solitons, two interaction solutions mixed by a bell-shaped soliton and one breather or by a bell-shaped soliton and one lump are constructed from the 3-soliton solution. Five solutions including two breathers, two lumps, and interaction solutions between one breather and two bell-shaped solitons, one breather and one lump, or one lump and two bell-shaped solitons are constructed from the 4-soliton solution. Five interaction solutions mixed by one breather/lump and three bell-shaped solitons, two breathers/lumps and a bell-shaped soliton, as well as mixing with one lump, one breather and a bell-shaped soliton are constructed from the 5-soliton solution. To study the behaviors that the obtained interaction solutions may have, we present some illustrative numerical simulations, which demonstrate that the choice of the parameters has a great impacts on the types of the solutions and their propagation properties. The method proposed can be effectively used to construct localized interaction solutions of many nonlinear evolution equations. The results obtained may help related experts to understand and study the interaction phenomena of nonlinear localized waves during propagations.
Thermodynamic extremality relations in massive gravity *
Authors: Chen Deyou , Tao Jun , Wang Peng 
Published: December 2020

Abstract
A universal relation between the leading correction to the entropy and extremality was proposed in the work of Goon and Penco. In this paper, we extend this work to massive gravity and investigate thermodynamic extremality relations in a topologically higher-dimensional black hole. A rescaled cosmological constant is added to the action of the massive gravity as a perturbative correction. This correction modifies the extremality bound of the black hole and leads to shifts in the mass, entropy, etc. Regarding the cosmological constant as a variable related to pressure, we obtain the thermodynamic extremality relations between the mass and entropy, pressure, charge, and parameters ci
by accurate calculations. Finally, these relations are verified by a triple product identity, which shows that the universal relation exists in black holes.
Mass spectrum and strong decays of strangeonium in a constituent quark model *
Authors: Li Qi , Gui Long-Cheng , Liu Ming-Sheng , Lü Qi-Fang , Zhong Xian-Hui 
Published: December 2020

Abstract
In this work we calculate the mass spectrum of strangeonium up to the

multiplet within a nonrelativistic linear potential quark model. Furthermore, using the obtained wave functions, we also evaluate the strong decays of the strangeonium states with the

model. Based on our successful explanations of the well established states

,

,

,

, and

, we further discuss the possible assignments of strangeonium-like states from experiments by combining our theoretical results with observations. It is found that some resonances, such as

and

, listed by the Particle Data Group, and

and

, newly observed by BESIII, may be interpreted as strangeonium states. The possibility of

as a candidate for

or

cannot be excluded. We expect our results to provide useful references for looking for the missing

states in future experiments.
Joule-Thomson expansion of Born-Infeld AdS black holes *
Authors: Bi Shihao , Du Minghao , Tao Jun , Yao Feiyu 
Published: December 2020

Abstract
In this paper, the Joule-Thomson expansion of Born-Infeld AdS black holes is studied in the extended phase space, where the cosmological constant is identified with the pressure. The Joule-Thomson coefficient, the inversion curves and the isenthalpic curves are discussed in detail using a 4-dimensional black hole. The critical point of a Born-Infeld black hole is depicted with varying parameter

and the charge Q. In

plane, the inversion temperature curves and isenthalpic curves are obtained with different parameter

and charge Q. We find that the missing negative slope is still conserved in Born-Infeld black holes. We also extend our discussion to arbitrary dimension higher than 4. The critical temperature and the minimum of inversion temperature are compared. The ratio is asymptotically

as Q increases or

with

, and reproduces previous results at higher dimensions.
Investigation and analysis of the current situation of the application of WeChat public account in higher vocational education
Authors: Lin Wang 
Published: December 2020

Abstract
WeChat’s monthly activity has exceeded 1.1 billion, making it the APP with the largest number of users in China. In the new era, how to make good use of information technology, how to make it more immersed in the spirit of students, and realize the specific, normalized, and integrated path, has become an urgent problem for college ideological and political educators. Taking the students of higher vocational colleges as the research objects, using questionnaire survey and practical effect analysis to conduct research. The survey distributed 846 questionnaires, and analyzed the collected 820 sample data to understand the use of WeChat by vocational students, the use of the college’s WeChat public account, and the cognition and demand of the college’s WeChat public account. The WeChat public account has shown good results with wider coverage, faster dissemination, and stronger penetration. As one of the download forms of the Internet environment, it has a greater influence and has expanded new ideas, carried new tasks, took new missions of ideological and political education in colleges and universities.
An Object Recognition and Volume Calculation Method Based on Yolov3 and Depth Vision
Authors: Sun Y , Liu Z X , Li M , Zeng Z T , Zong Z X , Ji C L 
Published: December 2020

Abstract
In recent years, the logistics industry is in its full swing. The demand for logistics is increasing throughout the country, and this rising trend will continue during the following decades. With the substantial increase of workloads, traditional manual ways are increasingly unable to meet the new needs of the logistics industry, therefore new production and transportation modes are becoming imperative. Considering this, a new method was proposed to help detect, recognize and calculate the volume of rectangular objects automatically. In this method, a YOLO-based model was firstly applied to detect the object. Secondly, an RGB-D camera was used to obtain the depth information. Finally, after the length, width and height values were estimated from a single surface, the volume of the object can be calculated. Experimental results showed that the method is simpler and more accurate as compared with traditional three-dimensional reconstruction-based methods.
Building of Visual Analysis System for Design of Youth Sports Shoe Products Based on Comment Mining
Authors: Qian Shengbo , Zhang Kaixin 
Published: December 2020

Abstract
This paper proposes a visual analysis system for data collection, pre-preprocessing and sentiment analysis to support whole-process innovative design of youth sports shoes. This system aims to analyze the sales data of sports shoe e-commerce sellers before and after design, provide reference for key design elements in innovative design of sports shoes based on 3D printing and realize dynamic closed design of pre-design data investigation and analysis and post-design feedback data analysis. With dynamic data collection technology based on a crawler, product feature extraction model, sentiment analysis model and big data visualization technology, this system can better satisfy data analysis requirement for innovative design of sports shoes.
A review of research on object detection based on deep learning
Authors: Deng Jun , Xuan Xiaojing , Wang Weifeng , Li Zhao , Yao Hanwen , Wang Zhiqiang 
Published: December 2020

Abstract
As one of the important tasks in computer vision, target detection has become an important research hotspot in the past 20 years and has been widely used. It aims to quickly and accurately identify and locate a large number of objects of predefined categories in a given image. According to the model training method, the algorithms can be divided into two types: single-stage detection algorithm and two-stage detection algorithm. In this paper, the representative algorithms of each stage are introduced in detail. Then the public and special datasets commonly used in target detection are introduced, and various representative algorithms are analyzed and compared in this field. Finally, the potential challenges for target detection are prospected.
The Practical Aapplication of the YOLOv3 Model from the Perspective of Machine Learning in Pedestrian Detection
Authors: Li Yanan , Sun Xuehong , Liu Liping 
Published: December 2020

Abstract
Target detection and tracking technology is particularly important in the field of computer vision. With the needs of social production and the development of science and technology, the research of video pedestrian detection and tracking technology based on mobile platforms also needs to be put on the agenda. In this paper, the mobile robot is based on the Gmapping method to map the unknown environment, based on the A* and Dijistra algorithm to complete the safety inspection in the known environment, collect, record and save the video during the inspection process,and based on YOLOv3, the pedestrian target in the video for detection, the Deep_Sort target tracking algorithm establishes tracking of the dectected target, and creates a learning sample data set 2019.
Application of deep learning in defect Detection
Authors: Gong Xiaoyuan , Bai Yuewei , Liu Yiqun , Mu Hua 
Published: December 2020

AbstractDefect detection has been the important link in the process of manufacturing enterprise production, is also one of the challenging parts, with the rapid development of science and technology and the introduction of [[CHECK_DOUBLEQUOT_ENT]] Industry 4.0 ", Intelligent Manufacturing, “Made in China 2025” put forward of the concept and development, manufacturing enterprises for the industrial product defect detection requirements are increasingly high, industrial product defect detection has also received more and more attention. In this paper, the application of deep learning in defect detection of industrial products is analyzed and discussed. Meanwhile, the traditional defect detection methods are summarized and compared with those using deep learning method. By combing and analyzing ICCV2019, the top conference in the field of computer vision, new technologies, new methods and new ideas that may be applied in the field of defect detection in the future were explored, and the challenges faced by them were analyzed in depth.
Research on Underground Pipeline Fault Monitoring Method Based on Big Data
Authors: Li Wenpeng , Ding Xiaopeng , Cui Hengle , Zhang Zipan , Li Jian 
Published: December 2020

Abstract
Distributed optical fiber sensors can sensitively sense local temperature changes caused by leakage at any position of the pipeline, but massive monitoring data has significant spatio-temporal non-stationary characteristics, and it is difficult to directly diagnose leakage based on the monitoring data. Under the framework of statistical pattern recognition, a spatio-temporal big data analysis method based on sliding window outlier analysis is proposed. Only the internal characteristics of distributed temperature monitoring data can be used to realize the intelligent identification of pipeline leakage, and the sliding is determined. The value method of window length and abnormal state diagnosis window length, and the physical simulation of prototype insulation steel pipe leakage monitoring was carried out. The results show that when the pipeline is intact, this method will not cause false alarms. Once the pipeline leaks, the method can quickly identify the pipeline leakage event and accurately locate the leak location.
A novel cloud game framework in dual Gigabit Network
Authors: Sun Kai , Xu Tao 
Published: December 2020

Abstract
With the development of 5G, cloud computing, and artificial intelligence (AI) technology, cloud game has become a hotspot about application and innovation of Gigabit bandwidth. This paper, firstly, analyses the present situation and development of cloud game to clarify the key business and key technology of cloud game, then, proposes an operational framework of cloud game, finally, the feasibility of the proposed framework is discussed and several suggestions about the operation of cloud game are given.