bluuebunny/crossref_metadata_2025_split huggingface dataset:
Accelerating self-imaging effect based on cosh-Airy beams
Authors: Wang Jing , Jiao Ruiyun , Zhang Wenqian , Yang Zhendong , Zhan Kaiyun , Liu Bing 
Published: February 2021

Abstract
We have investigated theoretically and numerically the accelerating self-imaging phenomenon for a superposition of cosh-Airy beams. The results show that when the real or imaginary part of the parameter of the cosh modulation function works, the accelerating self-imaging effect of the finite energy Airy beam and the quasi accelerating self-imaging effect of Airy beam with different initial launch angle can be obtained, respectively. Moreover, the cosh parameter cannot only change the accelerating self-imaging range but also control the trajectory of accelerating self-imaging. In addition, the accelerating self-imaging effect generated by selecting a large transverse displacement is further discussed. The numerical results are in good agreement with the theoretical results.
Post-acceleration of electron bunches from laser-irradiated nanoclusters
Authors: Lucchio Laura Di , Gibbon Paul 
Published: February 2021

Abstract
In this paper the energy gain of attosecond electron bunches emitted during the interaction of intense, few-cycle linearly polarized lasers with nanoscale spherical clusters is determined. In this case electron bunches are emitted from the rear side of the cluster and are then further accelerated while co-propagating with the laser. A previous study has shown how this two-stage process readily occurs for clusters whose radii lie between the relativistic skin depth, δ

r
= γ
1/2
c/ω

p
, and the laser spot size σ

L
(Di Lucchio & Gibbon, Phys. Rev. STAB
18, 2015). An analytical model for focused light waves interacting with compact, overdense electron bunches in vacuum is derived heuristically from world-line equations of motion of an electron. The functional integral approach is followed under the mathematical point of view of integration with respect to a stochastic variable. The resulting picture of the laser wave crossing the electron’s trajectory leads to a finite energy gain of the electron in light–matter interaction in vacuum. The analytical theory is compared with three-dimensional PIC simulations from which trajectories of the electron bunches can be extracted. The effective increase in bunch energy is determined under realistic conditions both for the peak (mode) and the cutoff energy of the emitted bunch, in order to make quantitative comparisons with theory and the experimental findings of Cardenas et al , Nature Sci. Reports 9 (2019).
Simulation Study of on Sky Performance of a New 20W Class Macro–Micro Pulse Laser for Sodium Laser Guide Star
Authors: Li Hong-Yang , Feng Lu , Wang Jian-Li , Liu Jie , Xue Sui-Jian , Shen Zhi-Xia 
Published: February 2021

Abstract
As one crucial component for the latest generation of adaptive optics, tremendous efforts have been put into the development of high performance 20 W class sodium laser guide star laser system. Two such systems, the continuous wave laser by Toptica, and the quasi-continuous pulse laser by TIPC were extensively studied with simulation and field tests. A new type of 20 W class sodium laser, macro–micro pulse laser, is currently being developed by CIOMP. In this paper, we will study its on-sky performance with simulation based on Monte Carlo rate equation method. The predicted coupling efficiency for this laser in the zenith direction in Changchun is 179.73 photons s−1 W−1/(atoms m−2). The variation of coupling efficiency of this type of laser with pointing direction and the effect of D2b repumping are also studied and reported in this paper.
On sufficient statistics in quantum cryptography: quantum key distribution with mismatching detector efficiency
Authors: Balygin K A , Molotkov S N 
Published: February 2021

Abstract
Accounting for the different quantum efficiency of detectors is fundamentally important for ensuring the cryptographic security of practical systems of quantum cryptography. A method for accounting for different quantum efficiency of detectors is proposed. The method is, in fact, analytical and applicable to any quantum key distribution protocols.
Toward brain–heart computer interfaces: a study on the classification of upper limb movements using multisystem directional estimates
Authors: Catrambone Vincenzo , Averta Giuseppe , Bianchi Matteo , Valenza Gaetano 
Published: February 2021

Abstract

Objective. Brain–computer interfaces (BCIs) exploit computational features from brain signals to perform a given task. Despite recent neurophysiology and clinical findings indicating the crucial role of functional interplay between brain and cardiovascular dynamics in locomotion, heartbeat information remains to be included in common BCI systems. In this study, we exploit the multidimensional features of directional and functional interplay between electroencephalographic and heartbeat spectra to classify upper limb movements into three classes. Approach. We gathered data from 26 healthy volunteers that performed 90 movements; the data were processed using a recently proposed framework for brain–heart interplay (BHI) assessment based on synthetic physiological data generation. Extracted BHI features were employed to classify, through sequential forward selection scheme and k-nearest neighbors algorithm, among resting state and three classes of movements according to the kind of interaction with objects. Main results. The results demonstrated that the proposed brain–heart computer interface (BHCI) system could distinguish between rest and movement classes automatically with an average 90% of accuracy. Significance. Further, this study provides neurophysiology insights indicating the crucial role of functional interplay originating at the cortical level onto the heart in the upper limb neural control. The inclusion of functional BHI insights might substantially improve the neuroscientific knowledge about motor control, and this may lead to advanced BHCI systems performances.
t – norm (δ, γ) - Fuzzy Subgroup and their Properties
Authors: Arul Selvaraj X , Jayaraj J 
Published: February 2021

Abstract
The concept of fuzzy sets was introduced by Zadeh [2] in 1965. Rosenfield [3] introduced the notion of a fuzzy group as easily as 1971. We expand the notion of t – norm from Rajesh Kumar [1]. The author have already introduced the notation (δ,γ)-fuzzy in [4] and t – norm (δ,γ)-fuzzy [5]. In this article, we study the notion of t – norm (δ,γ)-fuzzy set and subsequently study t – norm (δ,γ)-fuzzy group ( normal subgroup ) and their related properties.
Homomorphism of t - norm (δ, γ)-Fuzzy Groups
Authors: Arul Selvaraj X , Jayaraj J 
Published: February 2021

Abstract
The concept of fuzzy sets was introduced by Zadeh [2] in 1965. Rosenfield [3] introduced the notion of a fuzzy group as easily as 1971. We expand the notion of t – norm from Rajesh Kumar [1]. The author have already introduced the notation (δ,γ)-fuzzy in [4] and t – norm (δ,γ)-fuzzy [5]. In this research paper, we study the notion of t – norm (δ,γ)-fuzzy set and subsequently study t – norm (δ,γ)-fuzzy subgroup and the behavior of these t – norm (δ,γ)-fuzzy subgroups (normal subgroups) under group homomorphism have been discussed.
QSPR Study Of Certain Graphic Theocratic Matrices and Their Energy Using Laplacian Minimum Majority Parameter
Authors: Jenitha G. , Paulraj Jayasimman I. , Kumaravel A. 
Published: February 2021

Abstract
In this paper we are discussing the QSPR analysis of certain theocratic graphic matrices and their corresponding energy. Our study reveals some important results that help define the useful mathematical parameter based on their power of predicting. Our analysis shows some significant findings that aid in characterizing the valuable Mathematical Parameter based on their predictive energy.
Skin Disease Prediction and Provision of Medical Advice Using Deep Learning
Authors: Hemavathi S. , Jayasakthi Velmurugan K. 
Published: February 2021

Abstract
Skin diseases are hazardous and often contagious, especially melanoma, eczema, and impetigo. These skin diseases can be cured if detected early. The fundamental problem with it is, only an expert dermatologist is able to detect and classify such disease. Sometimes, the doctors also fail to correctly classify the disease and hence provide inappropriate medications to the patient. Our project proposes a skin disease detection method based on Image Processing and Deep Learning Techniques. Our system is Personal Computer based so can be used even in remote areas. The patient needs to provide the image of the infected area and it is given as an input to the application. Image Processing and Deep Learning techniques process it and deliver the accurate output. The output is used to get the best medical cure for the disease with nearest hospital details. In this project, we present a comparison of two different approaches for real-time skin disease detection algorithm based on accuracy.
Mathematical Modeling of Synovial Joints with Chemical Reaction
Authors: VijayaKumar R. , Ratchagar Nirmala P. 
Published: February 2021

Abstract
This paper, an effort has been made to examine the impact of some distinct parameters, namely magnetic field, porous parameter, reaction rate parameter and viscoelastic parameters of an unsteady convective diffusion through a rectangular channel. The momentum equation and concentration equation of the model have been derived by utilizing the perturbation technique and generalized dispersion model incorporated with BJ slip condition. To get an insight into various parameter of the problem on the velocity and dispersion coefficient has been analysed through different graphs.
Engineering Safety Early Warning Platform Based on BIM and Internet of Things
Authors: Ying Danlei , Cheong Chew Boon , Zou Yiping 
Published: February 2021

Abstract
In view of the rapid development of China’s economy and the continuous expansion of construction scale, the casualties and economic losses caused by engineering accidents are becoming more and more serious. This paper studies and puts forward a project early warning platform based on BIM Technology and Internet of things technology. Through the feasibility study of BIM Technology and Internet of things technology applied in engineering projects, and various risk assessment in engineering construction, it provides a reliable scheme. Combined with the simulation, through the modeling in revlt software and the data processing and Analysis on the platform, the early warning processing is carried out It shows the practicability and reliability of this technology in engineering safety early warning.
Design of Garbage Classification System based on RFID
Authors: Zhang Ting , Li Meng , Li Lianglin , Luo Wulei 
Published: February 2021

Abstract
In order to solve the problem of municipal solid waste and improve the recycling rate of resources, an intelligent garbage classification system is designed. The reader can identify the electronic tag on the garbage bag, automatically judge and open the corresponding garbage bin cover, which can be recycled or non-recyclable, so as to achieve the effect of garbage classification. At the same time, through the built-in distance, temperature and humidity sensors in the dustbin, real-time monitoring of whether the garbage is full, whether there is fire, etc., and the detected information is transmitted to the background through the network, and the alarm will be given in case of abnormality. It can reduce the workload of property cleaning staff and prevent the occurrence of fire and the spread of bacteria.
Research Status of Aero-Engine Blade Fly-off
Authors: Zhang Longfei , Li Jing , Kou Ying 
Published: February 2021

Abstract
The research of aero engine blade out (Fan Blade Out, FBO) is an important problem that must be solved in the design stage of the reliability and safety of the whole structure. The turbofan blades are broken due to fatigue fracture or foreign object impact, and the rotor system produces large vortex under the action of huge unbalanced force, which causes the tip of the blade to collide with the casing and friction in turn. This paper analyzes the aero-engine FBO, and provides a systematic basic theory for the design, innovation and development, which has certain reference value.
Design of Seed Rope Guiding Opener Based on DEM
Authors: Liu Dan , Dong Hao , Zhang Baofeng , You Jiahan , Yu Xiaoze 
Published: February 2021

Abstract
Rice seed rope planting has the advantages of water saving, energy saving and it can precisely control the rate and hill space of seeds, fertilizer and herbicide or pesticide, and simplify the sowing process as well. To solve the problem of ditching and rope laying the influence of cutting edge curve of trench opener on trench resistance is studied in this paper. Three kinds of furrow opener curves are put forward: exponential, parabola and circular. The mechanical model of the seeder was established and simulation analysis of furrow opener based on discrete element method, therefore, the edge curve equation of the soil cutting and seed rope guiding device was optimized. The simulation test results show that the exponential opener has the minimum working resistance 6.71 N; and the parabola opener has a higher working resistance 7.87 N; the circle opener has the highest resistance 9.59 N. This study may provide the basis for design of the rice seed rope planter.
Research and Analysis on the Use of 5G and Big Data in Urban Electric Vehicle Public Charging Networks
Authors: Guo Feng , Wang Yawen , Deng Guoru , Liao Rongtao , Yu Zheng , Hu Shuai , Jin Bo , Zhao Jinhui , Xiao Dongling 
Published: February 2021

Abstract
In recent years, the electric vehicle sales market has been expanding, but the existing urban electric vehicle public charging network system is not optimistic. Most of the researches on the construction of charging facilities and charging network are still at the stage of qualitative analysis. This paper uses the method of questionnaire survey to investigate the current situation of electric vehicle public charging network system in China. Using 5g new technology and big data technology for research and analysis, from the city level, we can explore whether the establishment of electric vehicle public charging network is feasible. The big data analysis technology can not only promote the efficiency construction of charging pile network, but also improve the user experience of charging pile charging station. At the same time, it also increases the application scenarios of charging pile network, which is not only of great significance to the development of the entire electric vehicle industry, but also greatly promotes the rapid development of the city.
Experimental Evaluation of the Lubrication Performance of Milling Al7075 with Different Nano-fluids MQL
Authors: Gao Wei , Qi Qiang , Dong Lan , Lv Xiaojie , Huang Wei 
Published: February 2021

Abstract
The addition of nano-fluids with different nano-particles into the biodegradable vegetable oil base has an effect on the wetting contact angle of Al7075, the cutting force and the lubrication performance, and the surface morphology of the workpiece and chip. In Milling Al7075, the lubrication performance of six different nano-fluids was evaluated. In this paper, the contact angle, cutting force and SEM morphology of aircraft Al7075 were evaluated under the lubrication conditions of Al2O3, MoS2, SiO2, CNTs, SiC and Graphite. The experimental results show that the cutting force in x direction of milling under so 2 nano-fluid lubrication is obviously smaller than that under so 2 nano-fluid lubrication. The cutting force in x direction under Al2O3 nano-fluid lubrication is 109.6% larger than that under so 2 nano-fluid lubrication, the cutting force of other nano-fluids in x direction is 2%-5% higher than that of Al2O3 nano-fluids in x direction. The rolling of SO2 spherical micro-particles can reduce the wear and the cutting force, improve the surface quality. The results show that the SO2 nano-fluid has good lubrication and wear-reducing performance.
Research on Network Marketing Reform under the Background of Big Data
Authors: Qing Haohua , Deng Jianghua , Fu Die 
Published: February 2021

Abstract
In the era of rapid development of information, network marketing has gradually become one of the most popular marketing methods. But there are also some inevitable problems. The current network marketing is so aimless that people are bored with it and then marketing to the enterprise’s own brand, which makes the enterprise have to change the existing network marketing mode. Therefore, this paper takes big data as the background to study the innovation strategy of network marketing. This paper uses the form of questionnaire survey to investigate some consumers’ views and suggestions on online marketing in their daily life. According to the survey, big data can help marketers analyze consumer behavior preferences and market trends. In addition, this paper analyzes and introduces some problems existing in the traditional network marketing mode, and gives the network marketing strategy under the background of big data.
Research on Asphalt Pavement Diseases and Construction Quality Control under the Background of Big Data
Authors: Ye Zhihao 
Published: February 2021

Abstract
In the context of rapid social and economic development, the transportation industry is under increasing pressure, and the requirements of vehicles on roads are increasing. People are paying more and more attention to the quality of asphalt pavement. However, due to the threat of excessive diseases, the pavement is prone to water damage and cracks. Therefore, it is particularly important to strengthen the quality control of asphalt pavement construction and disease prevention. Based on this, this article conducts an in-depth study on asphalt pavement disease and construction quality control under the background of big data. Based on the big data mining technology, this paper realizes the research on the relationship between pavement disease problems and influencing factors such as air temperature, surface porosity and traffic load, summarizes and analyzes several problems in the construction process, and proposes common disease prevention measures. Research shows that to improve construction quality management, it is necessary to establish a construction information database based on scientific statistical methods, monitor key indicators in the construction process in real time, and control and manage the entire construction process. Once problems are found, effective measures must be taken Solve it in time to ensure that the construction can be carried out smoothly, thereby effectively improving the level of pavement construction.
The Influence of Ideological and Political Education on Employment Quality of College Students based on Association Rule Analysis
Authors: Zhang Ying 
Published: February 2021

Abstract
A large number of employment data of college graduates are stored in the database. It is necessary to mine a large number of unknown and useful information hidden in these employment data. This paper aims to analyze the impact of Ideological and political education on the quality of employment by using association rules. Firstly, this paper studies the calculation formula of association rules. Firstly, the concept of association rules is described. Secondly, the association rules of employment data are analyzed and designed. Secondly, the employment data of college students and the learning data of Ideological and political education of college students are mined. Finally, the employment data is analyzed and studied in detail by using software. The experimental results show that the credits of Ideological and political education are in the range of [3,4]. 38.69% of the graduates whose achievements in Ideological and political education are within the range of [3,4] belong to class II. Among the graduates whose score of Ideological and political education in 2019 is [1,2], 35.29% are not satisfied with their current situation, that is to say, their confidence in the rules is 0.3529%. It can be seen that the credit system of Ideological and political education of college students has affected the employment quality of graduates after half a year to some extent.
Factors Affecting the Management of College Students in Ideological and Political Education in the Information Age
Authors: Wang Xiaolong 
Published: February 2021

Abstract
Under the new era background, Colleges also put forward new challenges and new requirements for the IPE of college students. Because the ideological and political learning is the basis of learning in various disciplines, but for college students, there are many management factors that will affect the implementation of IPE. Starting from the IPE in Colleges, this paper mainly analyzes the management factors that affect the IPE in Colleges. First of all, this paper explores the current situation of IPE in Colleges, which is hopeful and challenging. Second, it explores the current situation of management in Colleges. Based on these situations, this paper puts forward the management factors that affect IPE in Colleges, which are analyzed from the perspective of social environment and students’ own factors. Finally, it can be concluded that the level of IPE in Colleges is generally lower than that in middle schools, which indicates that IPE in Colleges should be strengthened.
Spatial Aggregation Analysis and Systemic Risk Prevention of Internet Finance Based on Neural Network Model
Authors: Xie Wangsong 
Published: February 2021

Abstract
With the development of science and technology, the application of neural network model is more and more extensive. In order to avoid the outbreak of financial crisis, economists and policy makers around the world pay special attention to the timely warning of financial crisis. If we can make an accurate early warning of the economic crisis, the government and regulatory agencies will have more time to deal with the possible risks and avoid major interference to economic growth. Based on this, this paper studies the spatial aggregation analysis and systemic risk prevention of Internet Finance Based on neural network model. Based on BP neural network, this paper constructs a spatial econometric model by using spatial econometric analysis method, and analyzes the empirical results of financial spatial aggregation. The results show that the Moran’s I value of China’s Internet finance index in December 2019 is 0.372, P value is 0.001, Moran’s I value of Internet payment is 0.395, P value is 0.002, Moran’s I value of Internet monetary fund is 0.357, P value is 0.001, Moran’s I value of Internet investment and financing is 0.324, P value is 0.002, Moran’s I of Internet insurance is 0.313, P value is 0.001. The results show that there is spatial agglomeration in the development of Internet finance in China. In addition, this paper also studies the systemic risk of Internet finance, analyzes its causes and puts forward corresponding preventive measures.