bluuebunny/crossref_metadata_2025_split huggingface dataset:
Learning recommendation based on hybrid collaborative filtering algorithm
Authors: Huang Xuejian , Wang Gensheng 
Published: September 2020

Abstract
To solve the sparse matrix problem of learning resource recommendation algorithm based on collaborative filtering, a hybrid recommendation algorithm combining user learning behaviour and rating is proposed. First of all, learning behaviour characteristics are defined and different characteristics are given weight values; then, according to the user’s learning behaviour log, the method of weight accumulation to calculate the user’s learning behaviour value of resources is used; finally, the learning behaviour matrix and rating matrix is used to build a hybrid collaborative filtering recommendation algorithm. Experimental results show that the hybrid recommendation algorithm has lower root mean square error than the traditional collaborative filtering algorithm.
The construction of a flipped classroom teaching mode of College English based on Rainclass and its effectiveness analysis
Authors: Zeng Ruiyun , Li Qianmei 
Published: September 2020

Abstract
This study constructs a flipped classroom teaching mode for College English based on the teaching platform of Rainclass, and conducts a semester long practice of flipped classroom teaching in an advanced English class in GUET, aiming to explore the impact of flipped classroom teaching mode on the improvement of English level of higher-level learners. It is found that under the flipped classroom teaching mode, the overall improvement of students’ English level is significantly higher than that of learners with the same level under the traditional teaching mode. In terms of individual language skills, the flipped classroom teaching mode is more effective in improving students’ writing, translating and reading skills, while less obvious in the improvement of their listening skills.
Polygon graphic recognition based on improved fast corner detection
Authors: Gu Jinfeng , Liu Weizhou 
Published: September 2020

Abstract
The accuracy of polygon graphic recognition based on chain code features and Hough transform is low, and the computation is limited. Therefore, this paper proposes a polygon graphic recognition method based on improved features from accelerated segment test (FAST) corner detection. First, hole filling and Freeman chain code are used to segment the image, and the regular geometric features are obtained. Second, in order to improve the performance of the algorithm, an improved FAST corner detection combined with DBSCAN (Density-Based Spatial Clustering of Applications with Noise) is proposed. Through clustering, false corner in the image can be eliminated, and the feature points are quickly filtered by local NMS (non-maximum suppression). Finally, polygon graphic recognition is realized by feature points, experimental results illustrate that this method has high calculation efficiency and recognition rate.
Application of SVM in anomaly detection based on sampling and feature extraction
Authors: Dong Kaikun , Shi Jiao , Guo Li , Yuan Fang 
Published: September 2020

Abstract
In order to identify the four types of attacks in the KDD99 data set, an anomaly detection model based on supporting vector machines is proposed. The model uses supporting vector machines to train five classifiers and detects the attacks by integrating the classification results of the five classifiers. Aiming at the problem that the detection model has a low recall rate when detecting some categories, a feature extraction method based on abnormal proportion analysis is proposed to extract effective feature combinations for each classifier, and a sampling technique is used to preprocess the training set of each classifier. Experimental results show that the improved anomaly detection model can not only improve the performance of each classifier, but also improve the comprehensive discrimination performance of the five classifiers.
A Canny operator road edge detection method based on color features
Authors: Wang Shigang , Wu Shukun , Wang Xuesong , Li Zhenglin 
Published: September 2020

Abstract
The road edge detection method, proposed by us, highlights the morphological and color features of the road in the image. The method performs color space conversion and color feature screening on color images containing road information, and Canny operator is used for edge detection. Then the edge detection results are detected by straight lines, and the road edges are detected and marked based on the principle of Hough transform. The experiment of edge detection on road pictures with complex background proves that the detection method can better detect the road edge. The novelty of this method is to combine several principles such as color feature screening, Canny operator and Hough transform. Therefore, a new method of road edge detection is formed.
Research on evaluation algorithm of key nodes in urban road traffic network based on complex network
Authors: Zhu Canshi , Wang Xiaoyang 
Published: September 2020

Abstract
Urban road traffic planning is a complicated project. If this project is abstracted as a complex network, the smoothness of important nodes in the network will have a significant impact on the smooth flow of the entire city. How to evaluate the importance of urban road traffic network nodes optimizing key nodes as much as possible is the key to transportation planning. This paper proposes a complex network node “structural hole” impact matrix to evaluate key nodes, constructs key node evaluation criteria, and simulates and analyses smaller-scale networks. The results show that this method can accurately and effectively evaluate the criticality of nodes. The use of its research results can provide a decision basis for alleviating the current urban traffic congestion.
Acute toxicity of salinity to Sinogastromyzon Szechuanensis
Authors: Chen Xiaojiang , Song Lin , Li Wei , Wu Jiangu 
Published: September 2020

Abstract
We set a salinity gradient, and then measure the tolerance of Sinogastromyzon szechuanensis to salinity at the initial stage and after a period of adaptation. The results show that the half lethal concentrations (LC50) of Sinogastromyzon szechuanensis at 24 h, 48 h, 72 h and 96 h are 10.50 g/L, 10.15 g/L, 9.83 g/L and 9.46 g/L respectively, and the safe concentration is 2.32 g/L. In the early stage of salinity mutation, the respiratory frequency of Sinogastromyzon szechuanensis increases with the increase of salinity. The respiratory frequency of 4 g/L group is 177±10.42 times/min, significantly higher than that of 0g/L group (P<0.05). After 4h of adaptation, when the salinity is 0-7 g/L, the respiratory rate decreases compared with the initial stage, when the salinity is above 7 g/L, the respiratory rate increases significantly compared with the initial stage (P<0.05). The respiratory rate of 2 g/L group is 150.0±5.57 times/min, which is significantly higher than that of 0 g/L group (P<0.05), and the salinity is close to the safe concentration, 2.32 g/L. Under 0∼7 g/L salinity stress, after 4h adaption in each salinity group, the asphyxia point of Sinogastromyzon szechuanensis first decreases and then increases with the increase of salinity, and the asphyxia point of 2 g/L is the lowest, 0.81±0.02 mg/L. After 96 h adaptation, the asphyxia point of Sinogastromyzon szechuanensis in each salinity group decreases, and the asphyxia point of 0-1 g/L is the lowest, 0.60±0.06 mg/L. Conclusion: Sinogastromyzon szechuanensis has a low salinity tolerance, and its asphyxiation point is higher than that of common freshwater fish. Therefore, we suggest controlling the salinity to be 0∼2 g/L, which is helpful to enhance the hypoxia tolerance and survival rate of Sinogastromyzon szechuanensis.
Research on resource construction and allocation model of university library based on principal component analysis
Authors: Liu Runzhi , Li Mei , Zhao Linlin , Lv Zhongmin , Zhang Yu 
Published: September 2020

Abstract
University library is the document information center of a university. It is an academic institution serving for teaching and scientific research. The quality of document information resources construction directly affects the service level of library. In order to realize the objectivity, significances and operability of the resource construction and allocation of university library, this paper considers many factors that affect the service quality of the library and establishes the corresponding research model. In the model design, taking the general library of Peking University as the research object, the principal component analysis method is used to analyze and process the data through software, and the principal component is selected as the independent variable to establish the linear regression mode. The validity of the model is verified by comparing the predicted result with the actual value, and some reasonable suggestions are put forward for the resource construction and allocation of university library.
Repairing of fatigue-damaged steel component with single sided CFRP lamellas under tensile cyclic stress
Authors: Dong Jiwu 
Published: September 2020

Abstract
Many bridges withstand the increasing loadings and fatigue damage, which threaten the safety of the bridges. In order to investigate the effect of CFRP on repairing fatigue damaged steel plate, the experimental test of a center-notched steel plate bonded CFRP lamellas was carried out. XFEM was used to further study the main factors affect the repairment of CFRP sheets. The quantified index of the effect of CFRP on steel member using the ratio of the remaining fatigue life of fatigue damaged steel plate strengthened of CFRP to that without any reinforcement. The result shows that the effective stress range, prestress level in the CPRP, relative initial fatigue crack length, and the width of CFRP dramatically affect the rehabilitation of CFRP.
Exploring the path of cultivating students’ professional ability based on DEMATEL method
Authors: Qu Ying , Zhang Xiaowei 
Published: September 2020

Abstract
In order to strengthen students’ understanding of the curriculum system, improve the effect of teachers’ teaching and students’ learning, the training route of students’ ability is designed. Taking the information management and information system specialty of a university as an example, this paper introduces DEMATEL method into the analysis of training scheme structure, and identifies the basic courses and core courses in the curriculum system by calculating the correlation degree of each course, which provides a theoretical basis for the allocation and arrangement of course hours, provides a reference for teachers to impart knowledge, students to select courses, and both sides to clarify the knowledge context. This paper divides the curriculum ability group into curriculum ability groups, clarifies the connection between courses, and provides strong support for the formulation of curriculum plan. It also designs the training path of students’ ability from the perspectives of course study time and teaching content.
Applied logistic model to quantitative analysis of university student management
Authors: Li Lina , Qin Long 
Published: September 2020

Abstract
With China’s emphasis on education and the constantly reform of education system, the management of students has been constantly improved. Colleges and universities are the places to train higher talents. The management of students should follow the educational reform in order to optimize the management mode and improve the management system. Based on the idea of Logistic regression, this paper establishes the evaluation model of college students’ management work. In order to fully improve the accuracy of the model, students’ satisfaction with the management of dormitory, bathhouse, library, canteen and other places is taken as the independent variable, and the overall school management satisfaction is taken as the dependent variable. Through the comparison of Logistic regression prediction and actual survey results, the accuracy and practicability of the model are tested, which is of great reference significance to the management of college students.
Multi-label text classification algorithm based on semi-supervised learning
Authors: Tu Min , Xu Shiyang 
Published: September 2020

Abstract
The standard Co-Training algorithm can effectively improve the performance of the classifier by using unlabeled data. In fact, however, it is difficult to meet the requirement of sufficient and redundant views At the same time, the constraints of Co-Training is further relaxed to solve the problem of inaccurate confidence estimation of unlabeled samples. In this paper, imml-knn and mlplsa-knn are used to train the basic classifiers with great difference. By using unlabeled data in the way of providing Pseudotag sample to each other, a Multi-Label Text Classification Algorithm CT-MLTC based on Co-Training is proposed. Experimental results show that the algorithm has good performance in multi label text classification tasks with more unlabeled data.
Quantitative study on factors affecting the price of residential real estate multiple linear regression model
Authors: Cui Faqiang 
Published: September 2020

Abstract
To study the impact of the “zero threshold” household entry policy on the fluctuation of residential commodity housing prices in Jinan, this paper uses the average sales price data of residential commodity housing in Jinan from 2006 to 2018, selects 6 relevant indicators including the total population at the end of the year, and constructs a multiple linear regression. The model uses Eviews7.2 software, innovatively implies variables such as equivalent sound level, performs stepwise regression analysis, weighted correction regression model correction, and performs statistical tests such as heteroscedasticity and sequence correlation. The results show that the local general public budget expenditure and the average equivalent sound level of roads and environment have a positive impact on prices, while the local general public budget revenue and the total population at the end of the year have a negative impact on prices.
Research on influence factors of college students’ employment satisfaction based on structural equation model
Authors: Xiao Hongxin , Chen Qiuhua 
Published: September 2020

Abstract
Based on the questionnaire data of 3241 graduates graduated from universities and colleges in Fujian Province, this research paper empirically analyzes the impact of “innovation and entrepreneurship” education on college students’ employment satisfaction by using structural equation model. which indicates: that the four-dimension factors of innovation and entrepreneurship education, college students’ opinions on higher education, employment demand-side factors and human resources have positive effects on graduates’ employment satisfaction, but the factor of innovation and entrepreneurship education has the most significant impact. Therefore, it proposes to give the support for college students’ innovation and entrepreneurship efforts; perfect the employment and entrepreneurship service system for college graduates; change college students’ concept of job hunting and entrepreneurship or otherwise improve college students’ employment satisfaction.
Vibration characteristic simulation and finite elementAnalysis of vehicle compressor impeller based on ANSYS
Authors: Cao Wen 
Published: September 2020

Abstract
The vehicle compressor impeller of the turbocharger of the vehicle is often damaged by the vibration. Model analysis for the compressor impeller is a kind of common means to avoid resonance between the impeller and natural frequency. Based on the software of ANSYS, the mid and low order nature frequency of vehicle compressor impellerwas simulated and calculated by the method of submodel, and Campbell chart was drawn according to the results. The resonance speed of the nature frequency of compressor impeller was found, thus reference for optimal design of the compressor impeller was provided.
The measure of poverty alleviation efficiency of tourism and spatiotemporal differentiation in Southwest China according to DEA-malmquist approach
Authors: Ma Yanling , Ma Feifei , Zheng Shaoheng 
Published: September 2020

Abstract
To describe the pro-poor tourism efficiency and spatial-temporal features, this paper uses Data Envelopment Analysis (DEA), Malmquist index and ArcGIS to analyze the data of Southwest China from 2012 to 2019. The results show that there are significant regional differences in the efficiency of targeted poverty alleviation of tourism in Southwest China, and the efficiency value increases from Sichuan to the surrounding areas, and the overall pattern is “high in the middle and low in the surrounding areas”; the tourism industry in some regions is in the stage of transformation and development, and the carrying capacity of tourism resources is insufficient; The overall efficiency of poverty alleviation in Southwest China is on the rise Tourism income in Guizhou has a weak driving force to increase the income of the poor. This paper shows the overall evolution of the poverty alleviation efficiency of tourism in Southwest China under the promotion of economic development and government in the past 10 years driven, and empirically demonstrates the poverty alleviation efficiency of Southwest China promoted by the government to win the battle of poverty alleviation in 2020. It provides a perspective and method to analyze the efficiency of government-driven tourism poverty alleviation.
Research on the adverse reactions of medicines based on deep learning models
Authors: Li Naiwei , Cheng Ziyi , Woo Youngmin , Ha Jongmyung , Kim Andre 
Published: September 2020

Abstract
The frequent occurrence of adverse drug reactions in medical events has become the focus of increasing attention in various countries. The quality of adverse reaction reports is the basis for medical risk assessment and analysis. Only by obtaining high-quality and valuable information can scientific treatment be carried out. Analysis, however, at present, there is no quantitative analysis on the relationship between the factors affecting adverse drug reactions and the degree of adverse reactions. There are few reasonable mathematical models. This article adopts the method of deep learning to establish a “human-machine material law ring”. “The mathematical model between the five factors and the degree of adverse drug reactions in China analyzes adverse drug reactions in China, and provides effective guidance for reducing drug accidents and improving China’s adverse drug reaction monitoring system.
The influence of swine fever on China’s pork market based on unit root tests
Authors: Sun Ziran , Zhou Huiming , Wang Ke , Dan Mengfei 
Published: September 2020

Abstract
Swine fever was introduced into China in August 2018 and has influenced Chinese pork market to a large extent. Based on the law of one price (LOOP) theory, this article selects data from January 1, 2014 to November 30, 2019, using unit root test and OLS to examine the convergence in China’s pork market relative to Beijing. It turned out that LOOP did not hold in China before the swine fever but hold after; Only three provinces showed the same results as the national context, while the data of all the other provinces remained stable, and there was no swine fever. Factors influencing the existence of LOOP are analyzed based on the previous results.Therefore, the results show that population, the length of classified highway and the introduction of swine fever are the significant factors; while the introduction of swine fever exerts the largest impact on LOOP in Chinese pork market.
Preliminary investigation of flapping paper inside a file
Authors: Kannan B T 
Published: September 2020

Abstract
The present paper is about the flapping mechanism of a paper locked inside a file. The investigation consists of visualization of flapping phenomenon and acoustic measurements resulting from the flapping. The normal ceiling fan is used as a source for the flow. The axial flow is converted to wall jet flow by using a surface perpendicular to the axis of the fan. The file placed with an offset from the fan which produces instabilities and in turn triggers the flapping mechanism. A super slow-motion camera is used to record the phenomenon and a microphone is used for acoustic measurements. The time-series results reveal the intermittent nature of the flow. The acoustic measurements reveal the noise sources and their frequencies via Fast Fourier Transformation.
Investigation and analysis on child rescue system from open bore well
Authors: Karthik S , Mohankumar D K , Chandramohan K , Udaiyakumar K C 
Published: September 2020

Abstract
In recent days, there are a lot of cases related to a child stuck in an open bore well. The actual methods involved in rescue are pulling the child using a rope with different knots or digging a parallel line beside the open bore using machines to the depth at which the child is stuck, the child is then pulled from the depth. But at deeper bore wells, these methods fail. This paper deals with a design to save a child who is stuck in manhole or open bore-well. Using this design the child can be easily rescued from the open bore wells, as this design includes hydraulic arm to hold the child with grips which won’t slip due to sweat or wet condition of the bore well, the locking mechanism to hold the rescue system in one place inside the pit once it reaches the depth at which the child is stuck. A live streaming video surveillance for monitoring the child motion, oxygen supply channel for the child and a communication system to have contact.
Design and analysis of hybrid composite using the finite element method
Authors: Talukdar Arindam , Ghosh Arnab , Saha Sanchari , Roy Sandipan , Datta Shubhabrata 
Published: September 2020

Abstract
Hybrid composites are those composites that have a combination of two or more reinforcement fibres and could be used for the superior properties that are unachievable by any monolithic material. The objective of the present study is to design the aluminium-epoxy hybrid composite of varying number of fiber strands. The fibres are kept in 0°/90° orientation and the width of the fibre strands is varied in the analysis keeping the length and the height of the matrix constant. A 100 N load is applied on the hybrid composite block and the corresponding mechanical behaviour along with the material properties is obtained using finite element analysis (FEA). The results observed in the 0/90 orientation of the hybrid composite include the assembly stress distribution and assembly displacement. The parameters are varied to obtain the corresponding set of results and the optimized structure is suggested using FEA.