bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Analysis of Computer Aided Design and Software Application in Textile industry
Authors: Jing Fei 
Published: June 2021

Abstract
Based on the combination of ethnic minority costume design and computer information technology, the first is to promote the reform and innovation of ethnic minority costume design; Second, computer information technology plays an auxiliary role in ethnic minority costume design. The two complement each other. They not only enhance the expression of costumes in the innovation and reform, but also better promote ethnic minority costumes, which can be applied to more occasions and attract more people’s attention.
Research on Expression Recognition Algorithm Based on Attention Mechanism
Authors: Sun Lei 
Published: June 2021

Abstract
Facial expressions carry the emotional state of human beings and are one of the most powerful signals for humans to express themselves. Therefore, the research of facial expression recognition has very important significance and broad application prospects. However, in complex scenes, the blurring of facial images, the interference of redundant information, and the similarity of expressions will cause unsatisfactory expression recognition. In response to these shortcomings, this article adds a convolutional attention module to the basic Resnet network structure, infers the attention map in turn along two independent dimensions (channel and space), performs adaptive feature optimization, captures expression feature information, and reduces human faces. The interference of redundant information; and the introduction of island loss ISlandloss classification to optimize the distance between classes, so that the network can learn more discriminative features, and improve the discrimination of expressions. Compared with the existing mainstream facial expression classification algorithms, this method has certain advantages in objective evaluation indicators. The experimental results on FER2013 show that the accuracy of this algorithm is 73.85%, which is higher than 71.23% of the Resnet network.
Research on Wasp population based on Gray Prediction and Fuzzy Analytic hierarchy process
Authors: Wu Xinyuan , Wu Yujia , Xu Xiaohan 
Published: June 2021

Abstract
The invasion of exotic species should be paid attention to because of its severe consequences, and governments have constructed monitoring and tracking system to collect people’s sightings of species. For example, Asian giant hornet, an exotic species for North American countries was first discovered in September, 2019. Interpretations based on received reports are of essential to master the current situation of species and to predict its spread. However, there is a considerable number of mistake reports, it is necessary to select the most likely positive reports out of mountains of reports to be detailly investigate first. In this paper, two main problems are focused: interpretation of historical reports and strategy of prioritization. First of all, this paper preprocesses the image data based on Gaussian filtering and convolution neural network to make it as balanced as possible. In addition, the image consists of a wide range of array data. Proper treatment can improve the efficiency of analysis. Then, construct the GPSM model (Gray Predicting Spread Model) based on gray prediction to measure the spread of the pest. From the historical positive sighting location provided in the dataset, the GPSM model is able to output the predicted next location following the previous principle. If the distance between predicted location and current outbreak area are significant, a spread can be concluded. Tests for the GPSM model shows the model has a very high level of precision
A Study on Comprehensive Industry Data System Based on Computer Exploring Big Data and Resource Integration
Authors: Huang He 
Published: June 2021

Abstract
Sports tourism resources are divided into two types: sports tourism natural resources and sports tourism human resources. The natural resources of sports tourism are divided into landform resources and water resources. The human resources of sports tourism are divided into folk customs and events, venues and buildings. The thesis explores the advantages and disadvantages of Chinese existing sports tourism information system through the combination of big data and sports tourism. At the same time, we analyzed and established the hierarchical structure of the sports tourism information system big data platform and the logical structure of the sports tourism data warehouse, and constructed a sports tourism information data model system based on big data analysis, laying a foundation for further research on the sports tourism information system based on big data.
Research on trajectory smoothing algorithm of dynamic geometry software
Authors: Wang Ying , Chen Ruxian , Rao Ailing , Zhong Xiaowei , Huang Yong 
Published: June 2021

Abstract
As a kind of mathematical geometry education software, dynamic geometry software is an application software that can interactively create and manipulate geometric objects. Its vivid image changes and colorful geometric objects provide teachers with an efficient Geometry teaching tool. Comparing and analyzing the existing geometry software, we found that there is a curve smoothness problem in its trajectory drawing. In this article, we propose the uniform point selection method based on the principle of the trajectory generation geometric method. Under the premise of ensuring rendering efficiency, extensive case studies have shown that the smoothness of the trajectory curve generated by this method has been improved.
Research on the Control System and Risk Management Based on Internet Big Data and Cloud Computing
Authors: Wang Xiujun , Yu Dengchen , Zhang Fei , Li Xin 
Published: June 2021

Abstract
The advancement of Internet information technology and the strong demand for private finance have promoted the vigorous development of Internet financial netw ork lending. However, due to the complexity of the network environment and the volat ility of the financial market, Internet finance has a higher risk. Aiming at the particular ity of Chinese Internet financial big data platform, this article uses Internet lending as a case to screen out 15 financial risk indicators. The article uses the principle of game t heory to set the principal component factor as a variable, and the operation of the platf orm in 2018 as the dependent variable to establish a financial risk early warning syste m for the online lending platform. At the same time, the paper cited cloud computing t o optimize its performance, and designed a financial risk management and control syst em based on cloud computing. Construct system test links to test system performance. With the same amount of data and the same test platform, the computing performance of this system is better than that of the original system.
Research and Design of Online Training Platform based on Spring Cloud Distributed System Structure and Computer Big Data
Authors: Sun Xu , Chen Haonan , Wang Qiaoyun , Liu Xu 
Published: June 2021

Abstract
The thesis combines the national policy on the targeted poverty alleviation system and follows the adaptive efficiency principle of rural development, and designs a system that promotes the coordinated operation of government mechanisms and market economic mechanisms in the form of a new type of professional farmer training. The system combines and analyses the characteristics and needs of new-type professional farmer trainee skills training, and establishes a new-type professional farmer training platform and operating mechanism through information technology. The paper designs a new online training platform for professional farmers based on the spring cloud distributed system structure, which provides convenience for new professional farmers to participate in education and training.
Research and Developing of Evaluation Information System Using B/S Structure and SQL Server Technology
Authors: Li Yunyun , Chen Lulu , Yu Dengchen , Gao Renhao 
Published: June 2021

Abstract
The paper analyses the status quo of the construction of the teaching staff of undergraduate colleges and universities in Jilin Province, expounds the irrational structure of the teaching staff, the low professional autonomy of teachers, the instability of the teaching staff, the lack of humane care for teachers in society and schools, and the teaching staff. Poor management and other issues. Based on the actual needs of undergraduate colleges in Jilin Province, this thesis uses the. NET framework, ASP.NET and SQL Server technology to develop a university teacher management information system based on the B/S structure. The system includes basic teacher file management, discipline construction management, the functions of teaching and research management, scientific research management, faculty management and system management have reached the goal of networked and electronic management of the school’s teacher information. The purpose of the thesis is to improve the construction level of teachers in private colleges and universities in Jilin Province.
Industrial Service Skill Development in the Service Regions Based on the Nonlinear Fractional Differential Equation Model
Authors: Wang Wei , Wang Qi , Sun Xue , Yu Dengchen 
Published: June 2021

Abstract
Based on a questionnaire survey of economics students at school, 290 students majoring in economics were selected as the survey sample, and a nonlinear fractional differential equation model was constructed to comprehensively score the innovation ability of school students. The study found that the innovative spirit of economics students is more active, but the innovative skills are relatively scarce. In this regard, it is proposed to promote the reform of the education system, improve the implementation and evaluation mechanism, focus on theory and practice, promote the application of innovative abilities, improve the quality of teaching, cultivate a team of learning teachers, cultivate students’ independent thinking ability, strengthen students’ logical thinking ability, and promote “industry-university-research” Suggestions on base training model.
Research on Signal-to-Noise Ratio Optimization based on Chaotic Immune Difference Algorithm
Authors: Wang Yu , Wang Shengpeng 
Published: June 2021

Abstract
A new algorithm based on the combination of chaotic sequences and immune differencing is proposed to improve the population diversity capability of the immune differencing algorithm in order to improve the conventional immune differencing algorithm for solving the signal-to-noise optimal problem. The method uses chaotic sequence immune differencing for population expansion, and the accuracy of the algorithm is analysed. In order to test the effectiveness of the algorithm, it is applied to a function optimisation problem. Simulation results show that the method has a lower number of iterations and better accuracy.
Construction of Driving State Prediction Model Based On the Adjustment Variables of the Layout Elements
Authors: Xie Huawei 
Published: June 2021

Abstract
This paper studies and analyzes the influence of cab layout elements such as vehicle seat, steering wheel, mirror and other adjustment variables on driving posture. The prediction model of adjustment variables of each arrangement element and key elements of driving posture is also established. Based on the multivariate factor regression analysis of the experimental data, the variables were adjusted according to the layout elements of the vehicle cab, and the corresponding driver’s posture and human physical characteristics were predicted. At the same time, this paper collects new experimenter data, evaluates and verifies the prediction effect of the model, and analyzes the shortcomings and limitations of the prediction model.
Multi-Physical Tracking and Sensing Technology of Switchgear Partial Discharge Based on Edge Computing and Smart Gateway
Authors: Jia Zhijie , Fan Songhai , He Dameng , Wang Jiayi , Dong Hanbin , Tang Zhiguo 
Published: June 2021

Abstract
In view of the high bottleneck of current partial discharge detection technology, strong professionalism and heavy detection tasks, the partial discharge process is greatly affected by the equipment operating environment and condition factors. The paper proposes a switching device partial discharge multiphysics based on edge computing. Research on perception and state tracking technology. The article aims at the edge computing technology of multi-physical partial discharge signal feature extraction, the construction of multi-physical tracking over-limit early warning model, and the development and trial production of intelligent gateway technology. The research found that the edge computing algorithm proposed in the paper can effectively reduce the cost and power consumption under the premise of ensuring the performance of the detection system.
A Review of Modeling Modification Methods for Mixed FE-SEA
Authors: Su Jintao , Lou Jianping , Jiang Xiaolu 
Published: June 2021

Abstract
Since the traditional deterministic method and classical statistical energy method have little room for improvement, more and more researches gradually turn to the combination of the two methods to solve the low and medium frequency “acoustic vibration” problem. However, in the application of mixed FE-SEA model, researchers found that when the coupling interface between FEA substructure and SEA statistical substructure is in the form of continuous interface, a very large finite element grid needs to be established at the boundary of the mixed model, which leads to huge time-consuming problem in the calculation of medium and low frequency of the mixed model. To solve this problem, the hybrid FE-SEA model needs to be improved and modified. In this paper, some common hybrid model correction methods, including deterministic subsystem edge gradient correction, are reviewed to provide theoretical support for the comprehensive study of hybrid model correction.
Research on Mathematical Model of Box Office Forecast through BP Neural Network and Big Data Technology
Authors: Dai Debao , Chen Jibin 
Published: June 2021

Abstract
With the rapid development of China’s film industry, the public’s enthusiasm for watching films has growing, and the contribution rate of the film industry to the economy has increasing year by year. Based on the research at home and abroad, this paper takes the box office of China’s films as the dependent variable, selects a series of indicators of China’s film box office for grey correlation analysis, and selects seven related indicators as independent variables, including the number of fans of heroine, the number of fans of hero, the box office of the first week, the number of fans of director, Baidu Index, average ticket price and film type. The influencing factors calculated by grey correlation degree are taken as the input of BP neural network, and the box office of China’s films is taken as the output of the network to predict the box office of China’s films. The results show that the prediction model based on BP neural network is more accurate than the classical Multiple Linear Regression model. This model can predict to a certain extent, and the prediction effect is good. It can predict the overall trend of film box office and provide reference for investment enterprises.
A Textual Examination for the Sake of Artificial Intelligence Pronunciation through Sound Processing Technology
Authors: Yu Zhang 
Published: June 2021

Abstract
The relationship between AI language processing and human language analysis should not be delayed as AI application is in its blossom. The analysis of the cultural and social background in which the language is produced will better the application of natural language processing in AI. The study of interpersonal function, individuation and multimodality in Black English in the novel “The Color Purple” might provide implications for the relationship between language and society in terms of AI language processing and discourse analysis.
The Physics Research of Optical Information Effect at Low Loss in Nonlinear Optical Fiber Transmission
Authors: Ma Chuantao 
Published: June 2021

Abstract
Both nonlinear effects and dispersion are important factors that affect the transmission of optical pulses in optical fibres. In the anomalous dispersion region, the mutual balance of dispersion and nonlinear effects can achieve optical soliton transmission. Starting from the nonlinear Schrodinger equation of the optical pulse, under the condition of ignoring the dispersion, the nonlinear phase shift and frequency chirp of the Gaussian optical pulse under the nonlinear effect of self-phase modulation (SPM) are derived and simulated; the numerical simulation of the SPM the spectrum of Gaussian optical pulses with different maximum phase shifts without chirp and with positive chirp. The study found that the fusion loss of the fibre obtained by this algorithm is less than 0.11dB than that of the traditional single-mode fibre, and the additional bending loss caused by the wavelength range of 1460nm to 1625nm after winding 100 times on a 60mm cylinder is less than 0.02dB/km.
Research on single-epoch RTK positioning method based on Doppler relative velocimetry
Authors: Li Wei , Cai Chenglin , Deng Yuzhen , Wu Qian , Zhang Zhiqiang 
Published: June 2021

Abstract
In the traditional single-epoch kinematic positioning, the positioning performance is relatively poor due to the less prior constraint information and lower success rate of ambiguity fixation. Accordingly, this paper proposes a single-epoch kinematic positioning method using Doppler relative velocity information constraint, that is, using Doppler observation information of rover station and base station for relative velocity measurement, and then using rover’s prior coordinates and velocity information to predict the coordinates of the current epoch, considering the advantages of higher accuracy of this method for coordinate update and more robustness of traditional single-point positioning, the corresponding strategy for single-epoch ambiguity resolution is further introduced to improve the positioning performance. The experimental results show that the proposed method can improve the accuracy of the float solution and ambiguity fixation rate, especially when the satellite geometry is poor and the observation conditions are obscured.
Fabrication of NO-containing calcium phosphate coatings via direct introduction of argon-nitrogen-mixtures applied in reactive RF-magnetron sputtering
Authors: Fedotkin A Y , Maryin P V , Miklashevich L A , Tverdokhlebov S I 
Published: June 2021

Abstract
Nitric oxide plays a crucial role in the human body, due to its regulatory effect on vascular tone, cell adhesion, vascular permeability, etc. The introduction of nitric oxide into calcium phosphate coatings can increase the bioactivity significantly. This article proves the possibility of deposition of nitric oxide-containing calcium phosphate coatings on titanium substrates. Therefore, various argon-nitrogen working gas mixtures were used in reactive radiofrequency magnetron sputtering of hydroxyapatite. The amount of nitric oxide increases with the concentration of nitrogen in the working gas mixture. Coatings characterized by a higher deposition rate of nitric oxide are showing also a higher roughness of the surface. Due to the adjustment of these deposition parameters, the morphology of the coating surfaces can be regulated.
Properties of CaP coatings produced by reactive RF-magnetron sputtering in a mixture of nitrogen and noble gases
Authors: Fedotkin A Y , Bukal V R , Tverdokhlebov S I 
Published: June 2021

Abstract
Calcium phosphate coatings are widely used to increase the biocompatibility of metal implants. Nowadays various dopants in the structure of calcium phosphate coatings are actively studied. Nitric oxygen is known as an essential mediator of blood flow. Its presence in the structure of calcium phosphate coating can stimulate angiogenesis and promote osseointegration of the implant. This article is dedicated to the study of morphology and physico-chemical properties of the calcium phosphate coatings formed via reactive RF-$$$magnetron sputtering of hydroxyapatite in the mixture of noble gases (Ne, Ar and Xe) and nitrogen with the same volume concentrations. There is a decrease in grain size and an increase in roughness with the growth of the atomic mass of noble gas in the mixture with nitrogen. The Ca/P ratio also decreases with the increase in the atomic mass of noble gas. Coatings formed in Ne + N2 and Xe + N2 gas mixtures are characterized by higher surface free energy in comparison with the ones formed in Ar + N2. It allows us to suggest that the coatings formed in Ne + N2 and Xe + N2 are more biocompatible than ones formed in Ar + N2, however, additional studies are needed to prove it.
Nanoindentation of AlN, GaN, and AlGaN films grown by HVPE on SiC/Si hybrid substrates
Authors: Grashchenko A S , Kukushkin S A , Osipov A V , Sharofidinov Sh Sh 
Published: June 2021

Abstract
This paper presents an experimental study of structural and mechanical characteristics of thin films of AlN, GaN, and AlGaN grown on hybrid SiC/Si substrates by the method of HVPE. The surface roughness of the films and substrates has been measured. The thickness and molecular composition of the films have been determined by spectral ellipsometry. An analysis of elastic deformation occurring in the films as a result of indentation has been made. The values of hardness and Young’s modulus of the films have been calculated.
Coatings-electrodes for processing dielectric aluminum oxide ceramics on a wire electrical discharge machine
Authors: Hamdy K , Okunkova A A , Fedorov S V 
Published: June 2021

Abstract
Despite its excellent exploitation properties, the non-conductivity of aluminum-$$$based oxide ceramics significantly limits its application and remains an actual science and technology challenges. An approach to the electrical discharge machining of Al2O3 ceramics using a triple copper coating with a thickness of ∼120 µm as an auxiliary electrode and assisting TiO2-suspension a powder particle concentration of 50, 100, 150 g/l is investigated. The experiments were carried out with unprofiled brass (Ø 0.25 mm) and tungsten (Ø 0.1 mm) wire tool electrodes in a deionized water medium. The highest performance (material removal rate) was obtained for 100 g/l concentration, the pulse frequency of 5 – 8 kHz with a brass tool.
Comparative experiments on hydrogenation of titanium films and foils
Authors: Karpov D A , Ivanov A G , Chebukov E S , Yurchenkov M I 
Published: June 2021

Abstract
Comparative experiments have been performed for the gas-diffusion hydrogenation of vacuum-deposited titanium films and commercially produced titanium foils. The sorption and thermodesorption characteristics of obtained hydrogenated materials and the values of hydrogen mass content in these materials have been defined. Differences in the resulting structure of deposited films and foils after hydrogenation are shown.
Influence of the electronic structure of carbon (diamond-like) thin films on tribological characteristics
Authors: Kolesnikov V I , Kudryakov O V , Zabiyaka I Yu , Novikov E S , Voropaev A I 
Published: June 2021

Abstract
This study takes a new look at carbon-based ion-plasma coatings (DLC) deposited on a steel substrate from acetylene and methylsiloxane gas mixture. The most remarkable result to emerge from X-ray photoelectron spectroscopy is a surface-to-substrate decrease in the “diamond” electron configuration of carbon sp3. A set of tribological tests showed a noticeable decrease in the coefficient of friction. Surprisingly, there was no increase in wear resistance when using DLC coatings on the contact surfaces of nitrided nitralloy steel in a loaded friction unit.