bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of imbalanced data on the performance of software defect prediction classifiers
Authors: Wang Lichao , Wang Wei , Liu Bingyou , Geng Shuqiao 
Published: November 2019

Abstract
Software defect prediction plays an important role in analysing software quality and balancing software cost. However, it lacks suggestions for project managers and software engineers in selecting classifiers. Firstly, a method for building imbalanced distribution data is proposed. Then, Matthews correlation coefficient is used to measure the performance of different classifiers, and the coefficient of variation is utilised to evaluate the stability of classifiers on imbalanced distribution data. Finally, an experiment is conducted on 8 common classifiers and 12 publicly available and widely used data sets. Results show that NaiveBayes behaves steadily when the imbalance rate of data sets changes significantly. The experimental results provide a basis for project managers and software engineers to select classifiers.
Expressibility Required to Design Embedded and Real-time Systems
Authors: Lu Shourong , Jin Qichun 
Published: November 2019

Abstract
Embedded and real-time systems are characterised by safety criticality, reliability, real-time, limited resources, low-cost and re-usability, etc. Development of such systems is a complex engineering process, involving many different disciplines with respect to their demanding requirements, in order to achieve desired system properties and reduce the complexity of the development process, we compile these requirements and criteria for design, specification and modelling of embedded real-time systems, it is benefit for rapid development of high quality systems.
Relevance Analysis and Visualization of Students’ Employment and Their Courses Achievement
Authors: Chen Yi , Li Xiaoling , Wang Xianfa , Hu Yang , Yang Ligong 
Published: November 2019

Abstract
Exploring the relationship between college students’ employment and their academic performance is of great significance for optimizing talents training programs and curriculum system, assisting students’ academic planning and employment guidance. In this paper, we present an analysis method for exploring correlation between students’ employment and their academic achievements. Firstly, we divide the students into several groups according to the types of their employment. Then we use box plot matrix to express the distribution of compulsory course achievements for assisting the comparative analysis among different groups of students. In addition, we use the TF-IDF method based on distance weighting to calculate the preference of each group of students quantitatively on various elective courses, and use radar chart to display the results for assisting the analysis of the students’ behaviour in course selection. The method is applied to analyse the course achievement and employment data of students majoring in Computer Science at Beijing Technology and Business University, and some characteristics of the course achievement and course selection behaviour of the students in different groups are obtained. The analysis results show that the method is effective.
Capability Analysis of Abaqus Shell Element Based on Finite Element Method
Authors: Mengyinan  
Published: November 2019

Abstract
Shell-like structures are widely used in many engineering structures. This work is forcing on the performance of the S4 element and S4R element, two types of conventional shell element in Abaqus, in different R/h ratios. In the scenario of a pipe-like configuration, both DKQ and MPT have different positions in different R/h ratios.
Design and Implement of SDC in Digital Campus
Authors: Cheng Yunli , Meng Hainie 
Published: November 2019

Abstract
The SDC (share data center) is the platform of collecting, processing, saving all kinds of share data, and supplying the information share services for the whole school. It carries out the data integration of each MIS, guarantees the consistency of the whole school share information, provides the support for the valid decision and for the new MIS development. After the analysis of saving and using the data at the present in Universities, this paper gives the design of the SDC’s framework, and details the function components and the consideration of design.
Regression Analysis of Social Events on Values
Authors: Li Xia , Hao Zeyuan , He Ziyang , Liu Yifang , Wang Dengshan 
Published: November 2019

Abstract
This study uses CFPS (2010) database researching issues related to the formation of values. We use the OLS (Ordinary Least Square) method to identify the long-term effects of this group of values on those who were enrolled in school between 1986 and 1989 and aged between 15 and 22 in two dimensions, the year of birth and the highest degree. Between 1986 and 1989, two large-scale student movements took place in China. Through the use of social survey data at the individual level, the regression found that those affected by the school sentiment were more concerned with social events and less concerned with social relationships.
Multi-face detection based on improved YCbCr color space
Authors: Li E 
Published: November 2019

Abstract
Face recognition has become a popular means of recognition. It is required in image retrieval, video monitoring, entrance and exit control of military bases or other sensitive areas and other occasions. Face recognition has three key steps: face detection, feature extraction and feature matching. Face detection plays an important role in face recognition. Skin color segmentation is an important part of face detection. The traditional skin color modeling rules of YCbCr color space still have some defects, so we made some improvements. We changed the parameters of the conversion matrix used in the conversion from RGB space to YCbCr color space, so that the chosen skin color region is closer to the face skin color region. By this way, the system can detect the face most accurately.
Real-time Recognition Method of The Ship Object Based on Video Image
Authors: Xing Yupeng , Li Xiaojun , Fang Fengtang 
Published: November 2019

Abstract
Target recognition has always been a hot topic in the field of computer vision. In the military field, computer vision has a good application in the research of ship target detection methods based on SAR images, but this type of research is limited to the detection of ship targets, and there is no further identification of ship types. Shipborne tracking radar parasitic TV can obtain clear images of sea surface targets in sea and air background. In order to improve the combat capability of ship combat systems, this paper proposes a video-based ship target recognition method, based on the identification of ship targets. This paper takes the hand-labeled TV video as the research object, and uses the Camshift and Kalman filter to improve the Faster R-CNN calculation framework for the automatic recognition and tracking of the video image ship target in the sea and sky background. The experimental results show that the correct recognition rate of the target model of the ship based on this method is above 90%.
Data Circulation Blockchain Model Construction and Data Access Management
Authors: Liu Yang , Huang Jincheng 
Published: November 2019

Abstract
This paper proposes a controllable Blockchain-based data circulation model. In this model, smart contracts stipulate that data circulation is carried out according to law, and laws and regulations to be followed in data circulation are written into system hardware and software. The supervision and execution of the law is automatically completed by the system. Through the risk assessment of the model, it can be seen that the data circulation Blockchain model has the characteristics of regionalization, security, credibility, collective maintenance, and non-tampering. It is suitable for solving the problem of data sharing and changing the circulation of data. The model promotes the in-depth integration of law and computer technology and promotes the process of legal automation.
An Automatic Recognition Method for Bank Card Number
Authors: Xin Yuanxue , Lin Yuhan , Shi Pengfei , Han Song , Tian Bin 
Published: November 2019

Abstract
With the development of mobile internet, mobile payment has become one of the most popular payment methods. In order to improve work efficiency, reduce labor costs and enhance user experience, the intelligent identification of bank cards is widely used in mobile payment. Conventional optical character recognition (OCR) technology has the problems of low recognition rate when dealing with bank card text with complex background. Thus, a bank card number identification method based on deep learning is proposed. Firstly, the data set is expanded. Then the CRNN algorithms is used and optimized to identify the card number. Some experimental results show that the method have a high recognition rate.
A Study on University Undergraduate Teaching “Cask Effect” by Big Data Technology
Authors: Chen Chen 
Published: November 2019

Abstract
This paper explores the teaching status of different types of undergraduate colleges and universities from the perspective of the investment of teaching funds and the existing teaching problems. The results show that the hierarchical characteristics of the higher education system in China are generalized in undergraduate teaching, and there are significant differences in the teaching resources enjoyed by different types of colleges and universities, which are manifested in the differences in the investment of teaching funds. In addition, there are different “deficiencies” for different types of institutions in the overall school-running resources, the construction of the contingent of teachers, the orientation of talent training. In order to achieve first-class teaching, undergraduate students should recognize the phenomenon of “cask effect” in teaching, strive to break the circle structure of the existing university system, innovate the incentive mechanism of teachers, ease the “academic ratchet”, and clarify the goal and orientation of running a school, so as to achieve the first-class undergraduate education strategic objectives.
Research on Management Uncertainty Solution Based on Environmental Change by big data Technology
Authors: Lixinyu  
Published: November 2019

Abstract
In the development of China’s socialist market economy, there are many environmental uncertainties, which depend on the complexity and variability of the environment. What enterprises need to do is to let management accounting take the initiative to deal with the uncertainty of the environment. In the development of an enterprise, management accounting can strengthen the internal management of the enterprise and improve the economic benefits of the enterprise. It adopts a series of special methods to collect and analyze the enterprise data, and controls the business of the enterprise by forecasting and making plans. Secondly, the competition among enterprises will become more and more competition among supply chains. The competition between supply chains is increasingly inseparable from the research of modern management solutions. On the basis of studying the current situation of supply chain demand uncertainty management, it is proposed to realize the synergy of lean management and flexible management in supply chain management with the concept of collaborative collaboration. Through the analysis of the delicate cooperation mechanism of supply chain, this paper analyzes the uncertainty factors in management accounting and supply chain management based on environmental changes.
Communication signal classification and recognition method based on GA-LSSVM classifier
Authors: Meng QingChuan , Chen Xiaoming , Zhu YuLin , Hu DaYong , Li Rui , Jiang YongTiao 
Published: November 2019

Abstract
In order to recognize signals more efficiently and accurately, this paper proposes a method of communication signal classification and recognition based on GA-LSSVM classifier. Firstly, GA algorithm is used to optimize the penalty factor and kernel function parameters of the two main parameters in the model of support vector machine classifier. By constructing a GA-LSSVM classifier for wireless communication signals, combining with the characteristic parameters of modulated signals, the signals are identified and simulated under different SNR conditions, and the analysis and verification are carried out. The performance of GA-LSSVM classifier is studied. The simulation results show that GA-LSSVM classifier has better recognition and classification performance than other classifiers in different SNR environments, and more than 90% accuracy can be achieved when SNR is greater than 0 dB.
Spending degrees of freedom in a economy & extreme snow depth: a case study of building a model in Tianshan, China
Authors: Wang Wenwen , Zhang Yanwei 
Published: November 2019

Abstract
Serious loss of human life and property by heavy snowfall in many middle and high Xijiang almost every winter. We apply annual maximum snow depth (AMSD) and snowfall data from the Tianshan Snow-cover & Avalanche Research Station (TSAR station in Xinjiang, Northwest China) collected during the last 28 winters (1978 to 2005) to temporal trends of annual maximum snow depth. The goal of the present article is to statistical analysis of extreme values that is applied to snow depth data from Tianshan Snow-cover & Avalanche Research Station. There were no significant differences between socioeconomic of snow depth, under affects socio-economic development from 1961, but permanently snow depth data (1978-2005) showed significantly impact on socio-economic development. Annual maximum snow depth contents necessary to meet return levels for 10, 25, 50, and 100 years of selected quality parameters were estimated. The research shows a decrease in extreme snow depth. This may would need to be increased by the observed decrease in the snow ratio due to increasing air temperatures. Further research is also needed to develop economy systems that socioeconomic and also improve the quality of snow depth data in the study area.
A Novel Quadrupole Mass Filter Based on Rectangular Electrodes
Authors: Jiang Peihe , Mu Penghua , Wang Zhongxun , She Ruyi 
Published: November 2019

Abstract
A low cost and simple geometry quadrupole mass filter was developed, in which rectangular electrodes were employed instead of traditional hyperboloid or cylindrical electrodes. Modeling and simulation were accomplished in COMSOL Multiphysics. The results showed that the performance of novel quadrupole mass filter turned out to be acceptable. For the low cost, simple geometry and easy to be assembled, it had a great prospect in the field of miniature, portable and low-level mass spectrometer.
A Survey on Research of Code Comment Auto Generation
Authors: Zhao Lele , Zhang Liping , Yan Sheng 
Published: November 2019

Abstract
A code comment is an explanation of the code. As an important part of software development process, code comment plays an important role in software maintenance, software reuse and other fields. Automatic generation of code comment aims to study the automatic method of comment generation so as to improve the efficiency of software development. This paper summarizes the related concepts and researches of code comment, discusses the automatic generation technology of code comment and the evaluation of comment quality, introduces the application of code comment generation in the software domain, and finally analyzes the challenges of automatic generation of code comment, and looks forward to the future research in this field.
Binocular Infrared Camera Calibration Based on Calibration Checkerboard
Authors: Wang Ziang , Liu Bingqi , Huang Fuyu , Gao Huawei 
Published: November 2019

Abstract
In this paper, in order to accurately calibrate binocular infrared camera, a method was proposed. It contains a calibration checkerboard based on thermal infrared radiation and the Zhang method. After the calibration experiment, we accurately obtained its internal parameters and stereo parameters. The results show that: the mean reprojection error (MRE) is less than 0.15pixels, and the calibration precision of baseline length reached 0.35%. It proves the effectiveness of the calibration checkerboard and the feasibility of our proposed method.
Corruption in the Selection and Appointment of Civil Servants in Ethnic Areas and Its Countermeasures
Authors: li Feng 
Published: November 2019

Abstract
The selection and appointment of civil servants in ethnic minority areas is an important content and key link in ethnic policy and frontier governance. There are some special regulations on the selection and appointment of civil servants in ethnic minority areas in China, such as the qualifications of academics and candidates. In the process of strengthening the governance of civil servants in ethnic minority areas in China, it was found that the issue of corruption not only seriously affected the construction of the civil service and the credibility of the government, but also caused great damage to the political ecology. Based on this, the article also analyzes the causes of corruption in the selection and appointment of civil servants in ethnic minority areas, and explores ways to improve the selection and appointment mechanism of civil servants.
Dynamic Simulation and Experimental Study of Hydraulic Shift System for Deep Hybrid Transmission
Authors: Zhao Ting-ting , Ma Zhi-tao , Ni Hong-jun , Zhu Peng-wei , Lv Shuai-shuai , Liao Ping 
Published: November 2019

Abstract
The hydraulic shift system of a deep hybrid transmission in a certain model was simulated and tested. First, the basic configuration of the gearbox was introduced. Then, the working principle of the hydraulic source, main oil circuit control system, shifting and parking control system, cooling lubrication system and shifting execution system were explained according to the schematic diagram of the hydraulic shifting system. The dynamic simulation model of hydraulic shift system was established via AMESim. Based on the comparison between the experimental data and the simulation results, the correctness of the model was verified. The dynamic characteristics of the main oil circuit and the shifting element were simulated. The results show that the hydraulic shift system meets the design requirements. The bench test results of powertrain verified the correctness and rationality of the hydraulic shifting system.
Research on Clustering Method of Airborne Threat Target Based on Density
Authors: Fang Fengtang , Li Xiaojun , Xing Yupeng , Wang Yifan 
Published: November 2019

Abstract
In the ship Anti-air warfare defense, situation analysis is an important auxiliary information for combat command. Anti-ship missiles are the main source of airborne threats to ships, not only in terms of speed, but also in the form of missile groups. Based on the improved DBSCAN algorithm, this paper proposes a density-based clustering algorithm. By filtering the input target attributes and optimizing the distance algorithm and the distance radius value, the missile target group can be effectively improved. Based on the identified target group, the situation analysis is further carried out, and the target group attribute calculation method and threat assessment method are proposed to provide support for the operational command.
Research and application of early warning system for abnormal temperature of breeding pigs based on deep learning
Authors: Liu Bowen , Wei Jiangshu , Zhao Shun 
Published: November 2019

Abstract
Based on deep learning, the early warning system for abnormal temperature of pigs can identify suspicious diseased pigs in advance, avoid group death and reduce the loss of a large number of diseases. It includes multi-domain cross-fusion, combining artificial intelligence machine vision image processing technology (CV), Internet of Things information technology (LOT), software engineering technology (STT), and traditional breeding technology (TFT). The CV technology is used for the hip identification and tracking of individual pigs. The LOT technology completes the real-time capture and monitoring of the body temperature of the individual pigs. The STT technology is used to send and receive network messages and implement an early warning system. Combining CV technology, LOT technology, STT technology and STT technology, a solution for automatic monitoring and real-time warning of the temperature measurement area of breeding pigs is proposed and implemented. The paper summarizes the technology used and details the design and implementation process of the system.
Research on Safety Evaluation of Quayside Container Crane Metal Structure Based on 04-FCE
Authors: Zhang Mengya , Huang Chensheng , Chen Kun , Liu Jin , Gan Yan , Zhao Jianyu 
Published: November 2019

Abstract
In order to ensure the safety of quayside container crane in service and improve the port safety management level, from the engineering practice, according to the composition of the quayside container crane metal structure of six parts: the front girders, the rear girders, the beams, the trapezoidal frame, the tie rods, the columns, the factors that potentially have influence on the safety of the metal structure are researched, and the safety evaluation index system is built. The dimensionless algorithm of evaluation index is optimized emphatically. For the first time, the “0-4” evaluation method is used to calculate the weight value in the evaluation algorithm, and the 04-FCE evaluation method which combine the “0-4” scoring method and fuzzy comprehensive evaluation is proposed. The safety level and evaluation conclusion of the quayside container crane metal structure are determined, the suggestions for reducing the risk are given, and the rationality analysis is carried out through an example at last.
Discussion on the Practice of Management and Maintenance of Chemical Machinery Equipment Technology
Authors: Cao Xiaofeng , Zou Shuhui , Xu Juan 
Published: November 2019

Abstract
This paper analyzes the common problems in the process of chemical machinery equipment, including equipment corrosion, equipment scaling, equipment leakage, etc., combined with the management status of chemical machinery equipment technology, and the introduction of advanced operating technology, innovative technology management. Optimization measures such as mode, strengthening talent training management, strengthening supervision and management, and researching the maintenance ideas of chemical machinery equipment technology, aiming at raising people’s awareness of chemical machinery equipment technology and promoting the stable development of the industry economy.
Correlation between parameters of support and thermal conductivity of tempered vacuum insulated glass based on grey system theory
Authors: Zhao Weitong , Hu Dongfang 
Published: November 2019

Abstract
In order to further reduce the thermal conductivity, the correlation between the parameters of support and the thermal conductivity of tempered vacuum insulated glasses was investigated based on grey system theory, and the grey relational values of the parameters of support and the thermal conductivity were obtained. The results show that the grey relational degree between the thermal conductivity and the arrangement of supports is greater than that between the thermal conductivity and the other parameters of support when the samples are produced with the same process and other components, which can provide evidences for further improving the properties of tempered vacuum insulated glass.