bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on High Precision solution of Fractional partial differential equations under Heat conduction Model
Authors: Wang Zhizhen , Liu Mengchen 
Published: June 2021

Abstract
Aiming at the heat conduction equation, the heat conduction model is a very typical example of the partial differential equation. This paper focuses on the development and preliminary knowledge of the partial differential equation, the establishment of the heat conduction model and the solution of the heat conduction model. The partial differential equation with fractional Laplace operator is a kind of typical fractional partial differential equation, which has important applications in the fields of science and engineering. Fractional Laplace operator is a kind of nonlocal quasi-differential operator, which is the infinitesimal generator of L é vy steady-state process. It is essentially different from the classical Laplace operator, which leads to the disappearance of some classical properties, which generally brings difficulties to the study of this kind of problems. It is very difficult to solve the explicit solution of partial differential equation with fractional Laplace operator. In order to improve the accuracy and speed of solving partial differential equation, a high precision method for solving partial differential equation based on deep learning network is proposed. A multilayer radial basis function neural network is constructed and its structural layers are determined. By introducing subnetworks into each layer of the multilayer radial basis function neural network, a composite multilayer radial basis function neural network is constructed to improve the real function approximation performance and operation accuracy of the multilayer radial basis function neural network. The high-precision compound multi-layer radial basis function neural network is used to solve the partial differential equation. By giving a specific example of solving the partial differential equation, the solution effect of the method is tested. The results show that the method has very high solution accuracy under the four-layer network structure, which can improve about 1.5 orders of magnitude compared with the first layer. Under different number of training samples, it has higher solution accuracy and speed, and the comprehensive performance is superior. Therefore, it is a practical but challenging work to study the existence of solutions of partial differential equations with fractional Laplace operators. This paper mainly describes the research progress and trends of the existence of solutions of several classes of partial differential equations with fractional Laplace operators, including some of the work done by the author in this field in recent years.
Evaluation and Application of Cloud Model Controller in Financial Technologies in the Age of Big Data
Authors: Chen Jin , Xu Yifan , Wu Yang 
Published: June 2021

Abstract
Financial innovation is of great significance to the long-term and stable development of commercial banks and the entire financial market. Reasonable and effective innovation under the current changing financial situation is of great significance to the development of the overall banking industry and financial market, but to varying degrees and Different ways of innovation often produce different results. The article uses the cloud model to comprehensively evaluate the financial innovation indicators of the five state-owned commercial banks. By taking into account the characteristics of ambiguity and randomness, and using the characteristics of the cloud, the evaluation results are more objective and authentic.
Research on Combined Optimization of Intercontinental Intermodal Transport Scheme by Railway Network and Double Difference Model
Authors: Jing Ruisi 
Published: June 2021

Abstract
The China-EU freight train is a physical link connecting the Eurasian continent in the new era and a new bridge for expanding China-EU economic and trade cooperation. Since its opening in 2011, China-EU freight trains have developed rapidly. Since 2015, it has been normalized and fixed, and now it has entered a stage of steady growth. Based on the trade gravity model, this paper calculates the trade gravity coefficients between China and the rest of the world in 2015 and 2019, and then establishes the analysis and construction of China-EU freight trains and cross-border transport models. The combined optimization of intercontinental transport scheme and regional transport scheme is constructed, which is composed of tractor, semi-trailer and intercontinental railway intermodal transport. The transport network of this model consists of two types of nodes: multimodal transport station and highway transport station. Based on the double difference regression analysis of gravity coefficient, it is concluded that the central attractiveness of trade between China and the rest of the world is relatively low in the past, but under the overall downward trend of trade attractiveness between China and the rest of the world, the China-EU train has significantly promoted the growth of trade in recent years, which is attractive.
Implementation of PMF and FFT Acquisition Design for B1C Signal Based on ASPeCT
Authors: Liu Xianyang , Yin Chengxiang , Yu Qian , Li Bochen 
Published: June 2021

Abstract
According to the characteristics of BDS B1C signal, there are many sub peaks in the autocorrelation characteristics, which leads to the ambiguity of B1C signal acquisition. In this paper, the characteristics of B1C signal, acquisition strategy and the ambiguity of different acquisition strategies are analyzed. Based on ASPeCT algorithm, PMF and FFT is implemented in FPGA of navigation receiver. The B1C signal is generated by spiren gss9000 satellite signal simulator, and a test scenario is built for the navigation receiver, which proves the effectiveness of B1C signal acquisition.
Application of Reliability Simulation Based on Monte Carlo Method in GNSS Receiver
Authors: Liu Ningbo , Guan Yu , Liu Xianyang , Liu LiHong , Wang Haiyue 
Published: June 2021

Abstract
At present, the analytical method (reliability prediction) is mainly used to calculate the equipment reliability of electronic equipment system. But reliability verification and evaluation of electronic equipment, which is highly reliable, needs a lot of time and economic costs. In this paper, a reliability simulation algorithm based on Monte Carlo method is proposed to verify and evaluate the reliability of highly reliable GNSS receiver. Which can meet the requirements and greatly reduce the project cost.
The Study of Privacy Protection of Scientific Data Sharing Based on Data Life Cycle
Authors: Song Dacheng , Chen Ming , Fan Sheng 
Published: June 2021

Abstract
Scientific data sharing has become an important activity to promote modern research findings in which helps to reduce costs and save time for data collection, but it also brings certain privacy issues when using scientific data. First, based the network and literature survey method to described the basic conceptual of scientific data sharing, and discussed the issues of privacy violation in scientific data sharing during the data lifecycle. Second, tried to propose a privacy protection model and framework to prevent privacy violation. Finally, provided some suggestions for the current privacy protection in scientific data sharing from different perspectives. The study contributes to the scientific data sharing by shedding light on how to protect privacy of scientific data sharing through the privacy protection model and framework.
Influence of the drying method on the structure of aluminum oxide capillary-porous nanomembranes
Authors: Batalova M S , Korobova N E , Alpysbayeva B E 
Published: June 2021

Abstract
Porosity characteristics are widely used to assess the internal structure of nanomembranes. The membrane was considered complex in the analysis of the structure. The membrane was presented in a simplified way as a system interacting with a dispersion medium, for example, water. A physicochemical model of the membrane has been proposed, which allows one to study the logical and structural similarity between systems, the properties of which are known, with similar systems, but with unknown properties. We have chosen a simple mechanical model of a membrane permeable to liquid and gas molecules. Permeability was determined by the characteristics of the porosity, shape, and size of the pores.
Flame sprayed and plasma sprayed Al2O3-TiO2 coatings
Authors: Blinkov I V , Belov D S , Laptev A I , Anikeev A S , Ivanov V V 
Published: June 2021

Abstract
Al2O3–TiO2 coatings were received by flame sprayed of flexible cord and plasma sprayed using powder. Shown higher mechanical and tribological properties of flame sprayed coating compared plasma sprayed coating.
Rheological properties of suspensions of nanoparticles based on polyethylsiloxane
Authors: Dembelova T S , Badmaev B B , Makarova D N , Vershinina Ye D 
Published: June 2021

Abstract
Suspensions of nanoparticles of silicon dioxide in polyethylsiloxane liquid used in engineering as greases and instrument oils have been synthesized. The effective viscosity of nanosuspensions depending on the shear stress was determined by the acoustic resonance method using a piezoelectric quartz resonator. An increase in the strength of the structure of nanosuspensions due to the formation of a supramolecular structure has been shown.
Research of hydrogen saturation of magnesium and magnesium-aluminum films and the influence of a protective nickel coating on it
Authors: Ivanov A G , Karpov D A , Chebukov E S , Yurchenkov M I 
Published: June 2021

Abstract
Experiments on the hydrogenation of Mg-Al films during their deposition by magnetron sputtering in a hydrogen atmosphere and subsequent gas-phase hydrogenation have been carried out. The hydrogen mass content and the rate of hydrogen desorption from the obtained metal hydride films have been determined. The key effect of the nickel protective coating on Mg-Al films for their use in hydrogen film accumulators is shown.
Cleaning substrates and subsequent deposition of coatings with coaxial magnetron discharge
Authors: Kalandiia M R , Trofimov V N , Yakushkin A A , Sokolov A V , Isakov A O 
Published: June 2021

Abstract
The created experimental magnetron sputtering system allows preliminary cleaning of the substrate surface and subsequent deposition of coatings on long cylindrical products within a single system using a coaxial magnetron discharge at a working gas pressure of 150 mTorr. The coating discharge has reverse electrodes polarity relative to the cleaning discharge. A theoretical calculation of the discharge parameters has been carried out.
Thermal processes during friction and wearing of medium carbon steel after plasma electrolytic processing
Authors: Komarov A O , Smirnov A A , Mukhacheva T L , Kusmanov S A 
Published: June 2021

Abstract
The thermal state of a frictional contact with varying normal loads and sliding speeds of a friction pair after plasma electrolytic processing is considered. It is shown that an increase in the temperature of the frictional contact decreases the coefficient of friction, and the wear rate of the tribointerface increases with an increase in the temperature of the frictional contact.
Discharge parameters of a magnetron with a molybdenum target
Authors: Kraynov N S , Sharipov A A , Shapovalov V I 
Published: June 2021

Abstract
In this work, we study the features of the discharge of a magnetron with a cold molybdenum target in an argon environment using a Langmuir probe. The novelty of this work is due to the placement of the probe near the anode. I-V characteristics of the probe were measured in the range of discharge current densities of 27–96 mA/cm2 at argon pressures of 2 – 4 mTorr. The experimental I-V characteristics of the probe were used to calculate the electron temperature, ion and electron density. It was found that the density of charge carriers increases and the electron temperature decreases with an increase in the discharge current. In addition, it was found that the density of ions near the anode is almost an order of magnitude lower than the density of electrons, and the electron temperature weakly depends on the argon pressure.
Possibilities of combining plasma electrolytic nitriding and polishing of steel by varying the operating voltage
Authors: Kusmanov S A , Zhirov A V , Dyakonova A D , Tambovskiy I V , Mukhacheva T L , Dyakov I G , Silkin S A 
Published: June 2021

Abstract
The possibility of realizing surface plasma electrolyte modification of the steel surface by successive diffusion saturation and polishing by changing the value of the applied voltage is shown. The composition, structure and properties of the formed coating have been studied.
Obtaining of Nd-Co films by electrolysis in a chloride-fluoride melt
Authors: Markovich S I , Popova A V , Semushin V V , Kuznetsov S A 
Published: June 2021

Abstract
The electrodeposition of neodymium on a cobalt substrate in a chloride-fluoride melt NaCl-KCl-10 wt.% NaF-5 wt.% NdF3 was studied. It is shown that during electrolysis, a coating with a crystal size of 2-5 microns is formed. Microanalysis of the coating determined the electrocrystallization of intermetallic compounds Co17Nd2 and Co5Nd on a cobalt substrate.
Obtaining of TiSiCN coatings by anodic evaporation of titanium and decomposition of hexamethyldisilazane in a low-pressure arc discharge
Authors: Menshakov A I , Bruhanova Yu A , Skorynina P A 
Published: June 2021

Abstract
The method of TiSiCN-coatings deposition by anodic evaporation of Ti and decomposition of an organosilicon precursor (hexamethyldisilazane) in a low-pressure (∼1 mTorr) nitrogen-argon arc discharge with a self-heated hollow cathode is investigated. The plasma composition was analyzed by optical emission spectroscopy. TiSiCN coatings with a thickness of up to 10 microns and a hardness of up to 30 GPa were obtained in 1.5 hours at a temperature of 400°C.
Deposition of solid solution films using reactive magnetron sputtering of a sandwich target
Authors: Shapovalov V I 
Published: June 2021

Abstract
This work presents a magnetron with a sputtering unit (sandwich target). The novel-$$$ty of the work is due to the three parallel plates of different metals included in the unit. They are mounted on the same axis with the magnetron and rigidly attached to it. The unit is located in a reactive environment consisting of plasma-forming argon and reactive gas (nitrogen, oxy-$$$gen, etc.). The lower plate is cold, while the middle and outer ones operate in the hot target mode. In the erosion zone of the middle and outer plates, eight slits were made. They are locat-$$$ed on the same axis and symmetrically relative to their center. The lower plate is sputtered through these slits. A magnetron with the above sandwich target can be used for the synthesis of composite films of the three-compound solid solutions. The possibility of synthesizing Ti
x-
Mo
y
Cr1–

x–y
N films with a continuous change in the stoichiometric coefficients x and y due to the change in the current density and relative areas of the slits, which provide a smooth change in the hardness of the films, is shown.
Dielectric relaxation in water of the adsorption layer on the surface of a solid
Authors: Simakov I G , Zh Gulgenov Ch , Bazarova S B 
Published: June 2021

Abstract
The influence of temperature and interphase boundary energy on the dielectric relaxation parameters in adsorbed water was investigated within the framework of thermodynamic consideration. It is shown that accounting for the interfacial boundary energy greatly increases the orientation dielectric relaxation time in adsorbed water. This allows us to determine the dispersion of the dielectric characteristics of adsorbed water using Debye’s relaxation theory.
Investigation of the influence of the nature of surface deformation on coating adhesion
Authors: Yakupov S N , Gubaidullin R I , Yakupov N M 
Published: June 2021

Abstract
The effect of deformation of the surface of a supporting metal element on the adhesion of a thin polymer film has been studied by an experimental-theoretical method. A setup has been developed that allows testing of adhesive coatings at various deformations of the substrate surface of various materials. The adhesion properties of a polymer film to a metal substrate have been determined. An explanation of the results obtained is given.
Evaluative analysis of traffic guidance forecasting system based on DTW algorithm——With the big data era as the background
Authors: Tao Mengyao , Liu Chaohong 
Published: June 2021

Abstract
With the development of the economy and society and the improvement of transportation infrastructure, the number of motor vehicles and the flow of road vehicles have increased rapidly, resulting in traffic congestion and frequent traffic accidents, which not only affects the efficiency of road traffic, but also affects the realization of social benefits as a whole. Based on this, services such as road condition prediction and real-time road condition detection came into being. In order to study the difference between the predicted value and the real value, this article selects the domestically used AutoNavi map platform and the Baidu map platform as the research objects, and calculates the relevant values. The predicted value provided by the AutoNavi platform is the same as that provided by the Baidu map platform. The real-time detection values were compared, and at the same time, the relevant index in the Baidu map platform was used in the calculation, and the index weight formula was proposed, and the problems in the relevant prediction were found. According to the actual background of the problem, suggestions are made for traffic congestion prediction and smart city construction.
RFID E-plate Data based Travel Time Reliability Estimation of Urban Expressway
Authors: Zhong Siyuan 
Published: June 2021

Abstract
Travel time distribution shows the aggregation degree of vehicle travel time in road network, and travel time reliability is the key index to measure the aggregation degree of travel time. In order to quantitatively evaluate the fluctuation of travel time of expressway vehicles, it is necessary to establish an estimation method of travel time reliability of expressway. Travel time reliability estimation needs to obtain travel time data of vehicles. Traditional Global Position System (GPS) and video detection methods are easily affected by external factors such as weather and environment, and the description of travel time distribution is not comprehensive under the condition of low permeability. On the other hand, in the evaluation of travel time reliability, although there are lots of travel time probability distribution models, the correlation of vehicle travel time between links is ignored when calculating travel time reliability. In order to estimate travel time reliability more accurately, based on Radio Frequency Identification (RFID) electronic license plate (E-plate) data, this paper proposes a path travel time reliability evaluation model considering travel time correlation between links. First, the RFID readers installed on the gantry of expressway acquires data from the electronic tags deployed on vehicles. Secondly, a percentile travel time estimation method is proposed based on Cornish-Fisher expansion and the skewness of travel time distribution. Finally, considering the reliability estimation of travel time under the correlation of links, the estimated value is closer to the true value. The experimental results show that the travel time reliability estimation method considering the correlation between links improves the accuracy of estimation in the expressway network environment.
Big data and Artificial Intelligence Drive Human Resource Management Innovation Research
Authors: Xuanbei Shi 
Published: June 2021

Abstract
The arrival of the era of artificial intelligence and big data is subtly changing people’s production and life. This article mainly studies and analyzes the results of previous surveys. The impact of big data and artificial intelligence on human resource management has led to more diversified employee training methods, more oriented performance management, and more diversified welfare management. Effective use of big data and artificial intelligence can better optimize business management and improve market core competitiveness.
RETRACTED: Application of Big Data Blockchain Technology in Financial Support of Real Economy
Authors: Hui Feng 
Published: June 2021

Abstract
In the era of big data, the development of Internet technology has caused earth-shaking changes and innovations in various fields of the financial industry. Especially in the financial market, big data has become an important research topic. It can accelerate the deep integration of Blockchain technology with the most advanced information technologies such as artificial intelligence, big data, and the Internet of Things, as well as the in-depth integration with the real economy, and innovatively solve the “trilemma” of difficulties in loan financing for small and medium-sized enterprises, difficulties in bank risk control, and difficulties in departmental supervision. It can provide a way for the application and innovation of Blockchain, and it can also provide assistance for the development of the financial industry. Therefore, how to make good use of big data and better integrate it into the operation of the financial industry is the primary issue at present.
Feature coding method based on shared weights support vector data description for face recognition
Authors: Liao Mengmeng , Li Yunjie , Gao Meiguo 
Published: June 2021

Abstract
In this paper, we propose a feature coding method based on shared weights support vector data description (FCM-SWSVDD). The proposed process of FCM-SWSVDD is as follows. By considering the density information of the clusters and introducing the weighting learning, we propose an improved support vector data description (SVDD), named shared weights support vector data description (SWSVDD). SWSVDD can obtain the cluster center and cluster radius more accurately. Incorporating SWSVDD and the triangle coding into the same feature coding learning process, FCM-SWSVDD is proposed. After the features of those images are extracted by using FCM-SWSVDD, a sparse representation classifier is used to classify those features. Experimental results show that the performance of the proposed method exceeds many methods.
Analysis and evaluation of relevant influencing factors based on the big data of Douyin live broadcast sales
Authors: Cui Faqiang 
Published: June 2021

Abstract
In order to explore the influence of live broadcasters’ own factors on the effect of live delivery, we conducted field surveys of no less than 1680 minutes for live broadcasters and audiences participating in live events on the Douyin platform for 14 consecutive days. We also collected 488 valid questionnaires through online surveys, and used Eviews10.0 software to analyze the collected primary data. The results proved that the optimization of the live broadcaster’s image and the improvement of the interactive effect of the live broadcaster can better stimulate the consumers who participate in the live broadcast and continuously increase their consumption quota and consumption times. Through research, the live broadcaster has finally achieved the goal of improving the ability to carry goods by optimizing himself.