bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on Online Education Based on Big Data
Authors: Li Haifeng , Sun Hongrui 
Published: November 2020

Abstract
With the continuous development and innovation of global information technology, all walks of life are developing towards the direction of deep integration with information technology, improving the efficiency and quality of the industry level has become the general trend, education is no exception. With the analysis and summaries of big data’s application in online education at home and by means of literature review, the analysis clarifies the specific situation of the application of big data in China’s network education. Finally, I put forward several solutions to the shortcomings of big data’s application in online education in China and predict the future development trend in order to make an all-around classification and analysis towards big data’s application in online education, so it can provide reference for better big data’s application in education.
A Novel Aero-engine Blade 3D-print Technique Based on Cloud Database
Authors: Lv Xiaodong 
Published: November 2020

Abstract
The precision of surface of laser manufactured component is strictly depend on the process parameters and the manufacture device. In this research paper, we explore a novel alternative based on cloud database of making an aero-engine blade. The designed equipment can continuously move along curvilinear paths of an object being fabricated, producing new objects much longer, wider and taller than 3D printing unit. This set of device cleverly combines a small portable 3D printer and a column climbing robot linking to cloud database to ensure product variety and flexibility. It adopts an reciprocating fabrication loop which works as: printing, reanchoring to a new start point, and printing again. We illustrat the structure, sub-functional unit, and characterization of the 3D print robot along with an example on the fabrication of aero-engine blade based on cloud database. 3D print has been demonstrated to posses the freeform fabrication capabilities for complex components and of course the 3D print robot connected with cloud database could easily printing a blade. The results obtained in this study have potential applications for construction industry, product design and promisingly greatly broaden the applications of up-to-date 3D printing.
Research on the Future War Driven by Big Bata
Authors: Jiang Yujiao , Liu Jie , Li Xiaosong 
Published: November 2020

Abstract
In the future wars, data will become a new engine that changes the formation of war. The paper has expounded the conceptual connotation of future war formation, analyzed the characteristics of future war driven by big data and the big data driven demand in the future war. It will help lay a theoretical foundation for promoting the wide application of big data technology in the military field.
Research on the Application of Blockchain Technology in Discipline Inspection and Supervision in China
Authors: Wei Lili , Gu Bin 
Published: November 2020

Abstract
This paper studied how Chinese discipline inspection and supervision agencies used blockchain technology to optimize the path of discipline inspection and supervision, while improving the efficiency of their discipline inspection and supervision. It combined with the actual situation of the reform of the discipline inspection and supervision system in China. Based on the essential characteristics of blockchain technology, this paper drawed a new disciplinary inspection and supervision information sharing model that based on blockchain technology. Also, it gived a new system framework and work flow. According to this technology, China’s disciplinary inspection and supervision agencies might use blockchain technology in the future to optimize the workflow of disciplinary inspection and supervision.
Fast Algorithm for Heating Injection Mold by Water
Authors: Liu Hong , Chen Haojie , Chen Fei , Gao Juntao 
Published: November 2020

Abstract
This paper puts forward a fast algorithm for heating injection mold by water accordance with these problems that the computing is enormous to simulate heating injection mold and there is a limitation for velocity of hot water that it should not be too larger otherwise simulating algorithm will be failure. The method does the similarity transformation to construct similarity model whose solution is the same with the mathematics model for the problem of heating injection mold by water, and the simulation time will be reduced greatly at the precondition of keeping precision using the similarity model. The first step of similarity transformation is time similarity transforming for the fluid governing equation describing the moving of hot water in the time area, i.e., actual heating time area for mold heating is transformed to heating time area of similarity model while keeping spatial domain unchanged. Meanwhile it does the same transformation for the heat conduction governing equation in the time area, also keeping spatial domain unchanged. In this way the similarity model of the origin mathematics model for fluid-solid coupling problem of heating mold by water is obtained. Simulating the similarity model could obtain mold temperature field after heating fast. The paper shows that the fast algorithm has good application value through examples.
Review of CpG Island Recognition Algorithms
Authors: Cai Yanning , Dong Qian , Li Anlan 
Published: November 2020

Abstract
DNA methylation is a common epigenetic process, which exists in many eukaryotes, such as animals and plants. It has the function of regulating gene expression and affecting the stability of genetic material. The unmethylated CpG dinucleotide, known as CGI, generally presents a local aggregation pattern in the genome. Abnormal methylation of CGI is often associated with cancer and abnormal growth. Therefore, it is of great significance to accurately identify CGI and predict its methylation state. This paper summarizes the current mainstream CGI computational recognition methods, analyzes their advantages and disadvantages, and discusses the future direction of CGI recognition algorithm research.
Research on Artificial Bee Colony Algorithm Based on Homogenization Logistic Mapping
Authors: Shi Kexiang , Bao Liyong , Ding Hongwei , Zhao Lei , Guan Zheng 
Published: November 2020

Abstract
Aiming at the defects of artificial bee colony algorithm with poor performance and slow optimization efficiency, this paper puts forward an artificial bee colony algorithm that initializes honey sources by homogenizing chaotic mapping. First, a homogenization logistic mapping model is constructed, and the frequency distribution and information entropy are analyzed. Second, during the initial honey stage, a homogenization logistic map is introduced to continuously iterate to generate a feasible global uniform distribution with a feasible solution. Finally, by evaluating the optimal solution for different characteristic functions, it is shown that the algorithm achieves the improvement of convergence performance, optimal solution accuracy, optimization efficiency and stability under the condition of limited bee colonies.
A Distributed Ledger-based Message Board for Complex Classifier Optimization in the Fog Environments
Authors: Korovin I S , Melnik E V , Klimenko A B 
Published: November 2020

Abstract
The paper deals with the architecture and design of the complex distributed classifier for the intelligent video surveillance systems considering the contemporary tendency to detect the abnormal or suspicious behavior of the individuals by means of behavioral features set analysis. This paper focuses on the implementation of multiagent systems concept and the distributed ledger technology to the distributed message board architecture. Two selected approaches to the distributed ledger implementation are analyzed and estimated in terms of classifiers cooperation. Some simulation results are provided and discussed in terms of time consumption.
Analysis of the Prevention Measures for Earthquake Damage and Flood Disasters of Bridges in Mountainous Areas of Sichuan
Authors: Zhou Xiaoyong , Lu Xiaofeng , Mou Tingmin , Liu Zhenyu 
Published: November 2020

Abstract
Since mountain bridges would be influenced by flood disasters, earthquake damage and other problems, this article puts forward some precautions that might be used during the construction of mountain bridges in Sichuan on the basis of the direct and indirect destruction caused by earthquakes and floods in the construction of Sichuan bridge in the expectation that it can provide some reference for disaster prevention.
Comparative analysis of calculation methods for Cable Curve of Landscape Suspension Bridges
Authors: Jiang Tianhua , Yu Yalu , Zhang Xiucheng , Huang Wen 
Published: November 2020

Abstract
The main cable curve control of landscape suspension bridge is not only the premise of achieving the ideal completed state, but also the key problem of suspension bridge construction control. By analysing the characteristics of the main cable of anchored double tower landscape suspension bridge, the analytical equations for calculating the main cable curve of suspension bridge are derived by parabolic method and segmented catenary method. Then combined with practical work, the main cable curve was calculation methods by using the two calculation methods. Results show that both the parabolic method and the catenary method can be used for the preliminary design of the main cable curve of the landscape suspension bridge, but the segmented catenary method with repeated revision iteration has higher accuracy.
The Strength Analysis and Structural Modification of VPX Chassis in Flight Environment
Authors: Huo Xiaoning , Tan Zhihong , Cheng Yongsheng 
Published: November 2020

Abstract
The aircraft has severe mechanical conditions such as overload and vibration during operation. The environment in which VPX chassis are located is complex and harsh. In order to reduce the effect of high level vibration and shock on the VPX chassis in Flight Environment, the Strength Analysis of the whole chassis is made. Therefore the structure is modified according to the analysis result to improve its ability of anti-vibration and anti-shock. This paper proposes a iterative optimization method based on the variation characteristics of structural strength through iterative optimization, and by using the Finite Element Method for simulation calculation, the thickness of the area of the lugs of the equipment was adjusted to make the deformation and the stress and the weight suffices requirements of the design. It can shorten the period of product development and lower the product cost by the method presented in this paper.
Climate Adaptability Analysis of Dwellings in Eastern Hebei Province under Building Energy Efficiency Context
Authors: Li Zheng , Wang Sijia , Dong Cuiping , Zhang Qi 
Published: November 2020

Abstract
Building energy efficiency plays a vital role in solving conflicts between energy resource supply and social economic development and accelerating the development of circular economy. On the basis of “Regulations for Energy Efficiency of Civil Buildings in Hebei Province”, combined with Climate Consultant, the paper analyzes the meteorological data of dwellings in Eastern Hebei Province, obtains suitable for dwellings climate policy and valid time in the region. Through above analysis, the paper concludes the passive strategy suitable for dwelling construction so as to provide viable architectural design and energy-saving strategies for the application of energy-saving technologies, planning and construction in Eastern Hebei Province.
Parameters Optimization in Threshing and Redrying Process Based on Random Forest and Orthogonal Experiment Design
Authors: Huang Xiaoyan , Zhao Guangren , Zheng Yurui , Huang Jing , Xie Junli , Jia Zhiwei 
Published: November 2020

Abstract
To improve the quality of threshing and re-drying production, a method fused by random forest and orthogonal experiment scheme are presented to optimal the process parameters. Random forest performed regression modelling on the historical data of process parameters and moisture value, and ranked the process parameters. The model is verified by field test and the gap between the predict results and reality is less than 5%, which satisfied the on-site demands. To achieve optimal parameter combination with limited numbers of time of experiments, orthogonal experiment scheme according to the order of importance is designed. The optimal parameter combination was calculated according to the results and verified by the random forest model and field test. Results of our optimal combination in filed test showed it was better than the historical ones. This fusion method illustrates its potentials to promote the decision of process of threshing and re-drying.
Stock Price Prediction Based on CPP-GAM
Authors: Li Yong , Bai Mingrui , Liu Jianguo 
Published: November 2020

Abstract
Based on the generalized additive model, we propose a CPP-GAM algorithm which transforms the non-linear problem into a linear one. We apply this algorithm to predict the closing price of international and domestic stocks. We train the history data of stocks through back-fitting algorithm. In order to make the effect of prediction better, we get trend lines based on the method of changing point prediction, the regressive algorithm of OLS, and the Fourier series. Through a large number of empirical data analysis, we found the predictive accuracy of CPP-GAM algorithm is 89%, which is 15% higher than that of RBN, SVM, SSA-SVM and so on.
Design of an Online Brain-Computer Interface System Based on Field Programmable Gate Array
Authors: Feng Zhengquan , Zeng Lin , Wu Haijing , Tian Fengchun , He Qinghua 
Published: November 2020

Abstract
In the article, an online brain-computer interface (BCI) demo system based on Field Programmable Gate Array (FPGA) was designed. A colour visual stimulator based on a Video Graphics Array (VGA) monitor controlled by FPGA is designed to produce transient visual stimulations. An electroencephalography (EEG) acquisition module including active electrodes and driven-right-leg circuit is used to acquire the visual evoked potential (VEP) signal; Finite impulse response (FIR) filtering combined with an averaging method allows for extraction of the weak VEP signals. The template matching method is used in target identification. The FPGA is successfully used in the BCI system to complete multiple tasks such as the VGA controller, analog to digital (AD) converter controller, VEP signal processor and electronic device controller. Experiments show that the subjects’ transient VEP can successfully activate the electronic devices by the online BCI system which has relatively high identification accuracy. All these results show that the real time BCI demo system based on FPGA is feasible and effective.
Study on the Technical Evaluation of Acceptance of Water and Soil Conservation Facilities in Hydropower Projects——Taking Yinpan Hydropower Station as an Example
Authors: Chen Lan , Wang Zhigang , Li Jianming , Zhang Changwei , Yang Hefei 
Published: November 2020

Abstract
Since soil and water conservation facilities through the purchase of services by the government, the working procedures had changed. This paper studied the evaluation work program, combination with Yinpan hydropower station, which divided into personnel composition, site survey, data verification, communication and reporting. The legal procedures for the implementation of soil and water conservation were checked to confirm the scope of responsibility for the prevention and control of soil erosion. Spoil yard and stone pit were surveyed and analysed one by one to confirm the soil and water conservation measures, the amount of soil and water conservation measures, the quality evaluation and the effect of soil erosion control. The construction and operation management of soil and water conservation were evaluated in the end. Through soil and water conservation facilities acceptance evaluation of Yinpan Hydropower Station, experience was summarized, which could be used as reference for the acceptance of soil and water conservation facilities in hydropower project in the future.
A Comparative Study on the System and Scale of Sport Industry between China and Canada
Authors: Li Gang , Liu Minhang , Fu Yukun , Feng Bing 
Published: November 2020

Abstract
In order to achieve a estabished 5 trillion goal of Sport Industry in China’s “Several Opinions on Accelerating the Development of the Sports Industry and Promoting Sports Consumption”, This research adopts literature data method, systematic analysis method, comparative research and other methods, and analyzes and analyzes the development experience of the Canadian sports industry. a comparative study on the system and scale of sport industry between China an Canada has been analyzed from Sport Industry Policy, Statistical Classification System, and Sport Revenue Structure. The results has indicated that, led by the similar government industrial policy, the sport industry development of China and Canada has been in a relatively stable growth stage since 2012. Although the output value of Canadian sports industry is lower than that of China, its revenue structure of sport industry is much reasonable than that of china, especially the revenue of Canadian Sport Recreation is particularly oustanding. The Revenue Structure of China’s sport industry remains to be further optimized, Promoting the improvement of China’s sports industry system, and pushing forward the volume of China’s sports industry to a new level.
Asymmetric Influence of Economic Growth on the CO2 Emissions from Construction Industry in China
Authors: Chen Jianbao , Li Fen 
Published: November 2020

Abstract
In order to analyse the asymmetric impact of economic development on the carbon emissions from construction industry in China, this paper constructed an extended model of influencing factors for CO2 emissions from construction industry including economic growth, collected the relevant data of China’s 30 provinces during 1997-2015, and tested threshold effect of China’s economic growth on CO2 emissions from construction industry by the panel threshold regression model empirically. The results show that: (1) Economic growth, population size, industrial scale and energy structure have positive impacts on CO2 emissions from construction industry, while energy efficiency has negative impacts. (2) Economic growth has a significant double threshold effect on CO2 emissions of construction industry, and it has a positive effect under the three regimes. Its intensity of effect increases first and then decreases with the economic level across the two thresholds. As a result, the Chinese government should pay more attention to the asymmetric influence of economic growth at different stages of development when formulating the construction industry emission reduction policies.
Study on the Process of Vacuum Low Pressure Carburizing and High Pressure Gas Quenching for Carburizing Steels
Authors: Wang Huizhen , Zhai Yuewen , Zhou Leyu , Liu Bo , Hao Guojian 
Published: November 2020

Abstract
The vacuum low pressure carburizing and high pressure gas quenching processes of 20CrMo, 20CrMnTi and 20Cr2Ni4 with acetylene as carburizing medium were investigated. The results show that the carburizing and diffusion time significantly affected the carburizing performance. Carburized with the process of C2H2 flow rate 10L/min, N2 flow rate 10L/min, carburizing pressure 3kPa, carburizing time 42min, diffusion time 140min and gas quenching pressure 1.5MPa, 20CrMo, 20CrMnTi and 20Cr2Ni4 can obtain the surface carbon content of 0.74%-0.78% and carburizing depth of 0.81mm-0.83mm. Meanwhile, the microstructure showed first grade carbide, and there was no internal oxidation laye on the surface. The carburizing constant and the diffusion time to carburizing time ratio were modified to be more suitable for the carburizing process.
Experimental Study on CFRP Reinforced Concrete Column
Authors: Wang Xiaochu , Nie Xiaomei , Xiong Long 
Published: November 2020

Abstract
Through the axial compression test of CFRP reinforced concrete column, the mechanical properties, reinforcement method, failure form, circumferential and vertical deformation were studied. Through the comparative analysis of the variation parameters of the whole package and the subpackage, the analysis shows that the whole package strengthening method can obviously improve the bearing capacity of the specimens and effectively restrain the annular deformation of the strengthened column. CFRP reinforced concrete significantly enhanced the bearing capacity of the test column, the best effect of the whole package, the two ends of the subcontract bearing capacity is economically applicable; The horizontal and vertical deformation of the concrete column is restrained after the complete and subcontracted reinforcement of CFRP.
Application of Enhanced Whale Adaptive Threshold Noise Reduction Method in Transformer Ultrasonic 3D Imaging Detection
Authors: Du Haoyang , Li Yimu , Liu Wanting 
Published: November 2020

Abstract
Most of the detection methods for transformer winding faults are off-line detection, which have to know the internal parameters of the transformer including the winding radius and the position of the winding center point It is only suitable for radial deformation, which has great limitations. Therefore, based on the principle of the ultrasonic wave propagation character, this paper designs a vertical 3D imaging detection system, which can visually display the 3D pattern of the winding deformation. This system can quantitatively and qualitatively detect the transformer and is suitable for various shapes of transformer winding deformation. An improved whale adaptive threshold optimization noisee reduction algorithm has been improved in this paper based on wavelet decomposition for the problem that echo is easily interfered by noise in ultrasonic detection. After testing, most of the interference noise can be filtered, so that the transformer can be more intuitive around the three-dimensional state diagram, which can better distinguish the fault location.
Human Body Shape Reconstruction from Binary Image Using Convolutional Neural Network
Authors: Chen Jiayu , Zhong Yueqi , Yu Zhicai 
Published: November 2020

Abstract
Human body modeling is an important part of virtual try-on. In order to quickly reconstruct the three-dimensional(3D) human body based on the minimum input, we propose a new method for accurate reconstruction of the human body by inputting binary images from either single view or multiple views. We first encode the shape of the human body via Principal Component Analysis (PCA) to extract the low dimensional shape descriptor. Secondly, we design a novel Body Reconstruction Convolutional Neural Network (BRCNN) with two branches, which could capture deep correlated features from different views and merge them. Given the obtained statistical shape space of the human body, we jointly train the BRCNN to learn a global mapping from the input to the shape descriptor which can be then decoded to points cloud for the reconstruction of various body shapes under neutral poses. The experimental results show that compared with the existing human reconstruction technology, the accuracy has been improved by 1.07%, and the prediction results of the two views are better than those from the single view. Further investigation also reveals that the prediction results of the weight-sharing network are better than the network without weight-sharing.