bluuebunny/crossref_metadata_2025_split huggingface dataset:
Determination of Anatomy Joint Position in Human Body Combining Human Contour Image Feature Algorithm
Authors: Zhang XiaoLi , Zhang Huangqi , Zhang Li , Zhang Hui 
Published: June 2020

Abstract
How to extract the feature information related to human body structure from image sequences and complete human motion analysis including human posture recognition is highly important research work. In this paper, an algorithm for determining the position of human joints based on human contour image features is proposed. Firstly, the virtual skeleton of the human body is extracted from the human contour using the energy function. Subsequently, the position of joints is determined based on three rules to identify whether a point in the human virtual skeleton is a joint point given in the standard human skeleton model as well as the related knowledge of human anatomy. The experimental results show that the proposed algorithm has no restrictive conditions attached to the human body in the image in the aspects of motion and color, etc. At the same time, it also has an excellent suppression effect on the noise in the human contour image. Attributing to this feature, it has a relatively low requirement for the extraction accuracy of human contour, with relatively good performance in complex backgrounds.
Research on Computer Graphics Image Design Based on Visual Communication
Authors: Xu YanYan 
Published: June 2020

Abstract
Creativity and aesthetics are the focus of visual communication design. When communicating information and human-computer interaction, it is necessary to pay attention to the presentation of artistic aesthetics, so as to bring people a more comfortable and pleasant experience and a more reasonable interactive operation experience. With the support of current scientific and technological forces, more and more visual communication works have begun to use a large number of computer application technologies, which can use advanced pictures, video editors, or UI design and other front-end interface optimization technologies to magnify the role of various visual elements. This essay discusses its specific application methods.
Rain-removing Algorithm for Image Based on Deep Learning
Authors: Zou QingPing , Wang Jing , Luo ShiTing 
Published: June 2020

Abstract
Aiming at the problem that the decrease of driver’s visual definition is affected by rainy weather, a new deep learning image rain removal algorithm is proposed. The network consists of a rainwater detection subnetwork and a rainwater removal subnetwork in series. The rainwater detection subnetwork adopts residual learning network, which can accurately learn the difference between rain images and non-rain images. The rain-removing subnetwork uses a U-shaped network with dense connections. On the one hand, it uses the U-shaped network to retain the details of the background, and on the other hand, the DenseNet is used to multiplex the lower layer features to higher layer features to improve the accuracy of rain removal, by combining them, it alleviates the contradiction between the loss of background details caused by excessive rain removal and the incomplete rain-removing. Experimental results show that this kind of deep rain-removing network can detect and remove the rainwater in the image well.
Java Web Cloud Data Analysis and Application Based on Spark Machine Learning Algorithm
Authors: Che Pengfei 
Published: June 2020

Abstract
The rise of information technology has promoted the rapid production of all kinds of information data, with the rapid growth of information data, the problem of data scalability began to appear, the system of data system time and space complexity will be more and more large, which brings great difficulties to the processing of information data. Java web cloud data based on Spark machine learning algorithm provides a new way for information data processing. The purpose of this paper is to analyze Java web cloud data, explore its application, and realize deep data mining and fast processing. This paper gives an overview and analysis of Java web cloud data and Spark machine learning algorithm. It attempts to build a Java web cloud data mining system with the help of Spark machine learning algorithm. First, it explains the basic design principle of the system, then points out the construction framework of the system, and finally carries out a simulation experiment on the system. Experimental results show that the application of Java web cloud data in data mining system is feasible and scientific, which not only changes the way of data storage, but also improves the overall efficiency of data processing.
Receiving and Fusion Processing of Space Reconnaissance Data Based on Multisensor
Authors: Sun Xiao , Gao Feng 
Published: June 2020

Abstract
In the coming information age, intelligent reconnaissance and comprehensive analysis of communication targets in the electromagnetic signal environment of space areas is an important aspect of obtaining space information rights. In the future, the reconnaissance of space communication targets will be characterized by large data capacity, multiple sources, and high correlation. At the aeronautical information processing center, all reconnaissance data is not allowed to be continuously and simply accumulated. It is necessary to carry out effective fusion processing and intelligence integration to form a clear, reliable and complete intelligence description of the state of communication targets. The purpose of this paper is to receive and fuse multi-sensor-based space reconnaissance data. In terms of method, this paper mainly analyzes the start of the trajectory, and then analyzes the error registration of the sensor. The sources of sensor system error include: distance error, azimuth error, elevation error, time error and position error. The sensor has time alignment and spatial error recording. Through wavelet threshold denoising and Kalman filtering, the obtained information is more complete. In terms of experiments, after analyzing the observation accuracy of each sensor and eliminating the relative deviation, data fusion and processing are performed. Data preprocessing includes coordinate transformation, outlier elimination and data compression. Four aircraft and three sensors are analyzed: radar sensor SAR, infrared sensor IR and photoelectric sensor EO. Finally, it is concluded that the effectiveness and fault tolerance of the data are significantly improved after the data fusion.
Secure Communication Method of Metallurgical System Data Network based on Chaotic System Sequence Parameter Identification
Authors: Ma Yuanyuan , Luo Fucai , Li Hongfa 
Published: June 2020

Abstract
In the research process of chaotic system sequence parameter identification, we find that there is only one chaotic attractor in chaotic direct spread spectrum signals, which cannot satisfy the confidentiality of communications. Based on the thought of generalized synchronization of chaotic system, we proposed a chaotic secure communication method, in other words, the partial sequences of chaotic system were used for the parameter identification of chaotic system. The chaotic ant colony optimization algorithm was used for the parameter identification of partial sequences of chaotic system, so as to achieve the purpose of understanding all the information of chaotic system. The parameter space and the ant colony space were introduced into the parameter identification process. We used the space transformation function to transform the parameter space and the ant colony space. Experimental results show that using the Lorenz system numerical method can verify the feasibility of chaotic system partial sequence parameter identification and chaotic secure communication.
Talent Training Model of Auditing under the Background of Artificial Intelligence
Authors: Wang Zhe , Lin Yanqing 
Published: June 2020

Abstract
With the continuous development of computer technology and the comprehensive popularization of accounting information systems, more and more accounting and auditing work is being completed by increasingly mature artificial intelligence. The development of artificial intelligence will not only have a significant impact on practitioners in the auditing industry, but also have a revolutionary impact on the talent training of auditing in colleges and universities. This paper first introduces the impact of artificial intelligence on the auditing industry and higher education; then analyzes the problems faced by the talent training of auditing in the context of artificial intelligence; finally, it proposes reform suggestions for the training of auditing professionals.
Impact of Artificial Intelligence Based on Big Data on Medical Care
Authors: Li Huan 
Published: June 2020

Abstract
In the era of big data, artificial intelligence has also undergone considerable development, and gradually shows its strong influence in all walks of life. The medical industry is also inevitably affected by it. From voice input, medical image analysis, personalized health data analysis to independent drug research and development, artificial intelligence has been widely used in the medical field. Therefore, this article analyzes the positive effects of artificial intelligence to accelerate the medical industry’s work efficiency, promoting the development of the medical cause, a series of medical ethical issues caused by the application of artificial intelligence in the medical industry, and a series of problems for the medical industry staff. Three suggestions are given for the negative effects of artificial intelligence in the medical field. It is hoped that it can promote the objective evaluation of the impact and challenges brought by artificial intelligence to a certain extent.
Anti-interference Algorithm for Broadband Wireless Communication based on Embedded Microcontroller
Authors: Hu Xiangjuan 
Published: June 2020

Abstract
In order to improve the reliability of broadband wireless communication, the anti-interference design of broadband wireless communication in embedded environment is carried out, and an anti-interference algorithm of broadband wireless communication based on embedded microcontroller is proposed. The hardware of the anti-interference device is mainly composed of the communication modulating module, ARM main control system module and the single chip microcomputer main control module. The anti-interference algorithm is designed by using inter-symbol interference suppression algorithm, and the data transmission channel distribution model of broadband wireless communication is constructed. The interference filtering of broadband wireless communication is based on the decision feedback equalization method. The simulation results show that the anti-interference design of broadband wireless communication using this method has strong anti-interference ability, the output SNR is higher than that of the traditional method, and the communication quality is improved.
Smart Campus Construction in the Big Data Era
Authors: Zhang Ping 
Published: June 2020

Abstract
With the rapid development of information technology, the information construction in colleges and universities has developed from the digital to the smart campus stage, and the big data era has arrived at colleges and universities. How to apply the big data technology to build a smart campus service platform is a subject to be faced by colleges and universities. In this paper, smart campus-related concepts are introduced. The overall design and implementation of smart campuses in colleges and universities currently are expounded and the problems in the construction are reflected.
Machine Learning Algorithm Based on Big Data
Authors: Hao HaiYan 
Published: June 2020

Abstract
Machine learning technology is indispensable for big data. In machine learning, data on a large scale can improve the accuracy of the model. However, complex machine learning algorithms require the key technology of distributed memory computing in time and performance. Big data memory computing can implement the parallel operation of the algorithm, which is conducive to the processing of big data sets by the machine learning algorithm. Hence, a nonlinear machine learning algorithm implemented in the big data memory environment is proposed in this paper, where data compression, biased sampling or loading based on the implementation is optimized. To fully configure resources for the script running by batch, we also implemented a machine learning framework to schedule the optimized algorithm mentioned above. The experimental results showed that the mean error of the three algorithms after optimization was reduced by 40%, and the mean time was reduced by 90%.
Evaluation of Two-way Interaction Mode of “Internet + Animation” Online Education Based on Stackelberg Game
Authors: Cai YuXin 
Published: June 2020

Abstract
The development of online education is an inevitable outcome of the development of higher education in the new era. The “two-way interaction mode” of regional sharing is an essential choice for online education development. Mathematical demonstration shows that the participation rate of “two-way interaction” is negatively correlated with the sum of the marginal income of the whole sharing platform, and positively correlated with the marginal income of “two-way interaction”, the higher the participation rate of “two-way interaction”, the more the overall resources invested in the platform. Platform participants invest resources according to the proportion of marginal income, and the general participants prefer to participate in cooperation rather than working alone.
Analysis of Mathematics Curriculum Ability Development Based on Computer Data Mining
Authors: Zhao FengMing 
Published: June 2020

Abstract
In this paper, the data mining techniques is used to analyze the mathematics curriculum ability development. Firstly, a data warehouse of students’ academic achievement is established. The comparative concept description method in data mining techniques is used to analyze various abilities of students of different genders from different majors over the years, and the corresponding reform measures for the teaching contents and approaches are proposed.
Research on the Application of Big Data and Internet of Things Technology in Extracurricular Sports Training and Sports for Young People
Authors: Guo Jing 
Published: June 2020

Abstract
In recent years, with the continuous development of sports in China, the number of young people participating in sports and training has gradually increased. Adolescents are in the growth and development of the body, physical skills, physical fitness in the rapid development and growth, this stage is also the best stage for the majority of teenagers to learn and master the movement. This paper takes big data and Internet of things technology as the means to intervene in youth sports training and sports, in order to provide valuable reference for promoting the basic training of young people in our country.
Research on Data Analysis Model of Oilfield Development Based on Dynamic Neural Network
Authors: Liu Ce 
Published: June 2020

Abstract
The uncertainty in the process of oil well development will have a negative impact on oil well production. The construction of dynamic neural network data analysis model for oil field development provides technical support and helps to promote the development of oil field development. In this paper, the dynamic neural network is studied firstly, and then the process of data analysis and pre-processing of oilfield development is analyzed. Finally, the application of optimization model of oilfield development data based on dynamic neural network is given.
Rely on Negotiable Hash Algorithm of Data Exchange in the Relational Data Privacy Protection
Authors: Zhang YuHong 
Published: June 2020

Abstract
In order to ensure that data privacy in the deal, people need to deal with the data privacy fully autonomous, it was a man of data made by a reflection, is also an effective method for individuals to take the initiative to protect privacy. At the same time in the data business, real-time data is a kind of valuable data, how to prevent the real-time data privacy, and ensure the data transaction security implementation is also an important part of the problem. So far, researchers have put forward a lot of privacy protection method; however, these models cannot effectively protect after fully autonomous data privacy, and for the privacy of the real-time release wasn’t reasonable privacy protection model is put forward.
Research on Computational Data Simulation of Automobile Engine Exhaust Muffler Performance
Authors: Zhong SaiJun 
Published: June 2020

Abstract
In this paper, the transfer matrix method is used to simulate and calculate the insertion loss of muffler. This simulation method can evaluate the acoustic characteristics of the exhaust system. After deriving the transfer matrix of six kinds of silencing units, it is applied to the calculation of insertion loss. In this paper, a mathematical model of noise attenuation is established to analyze the relationship between the characteristics of muffler and acoustic attenuation. We can take the noise reduction as the objective function to optimize the muffler design. The mathematical model of pressure loss can be used to evaluate the aerodynamic performance of muffler.
RETRACTED: How to Improve the Ability of Library and Information in the Era of Big Data
Authors: Shen HongXia 
Published: June 2020

AbstractDocument arrangement includes document classification, subject searching, description and Catalog typesetting. The classification of documents can provide the corresponding basis for the arrangement of catalogue and the production of document structure, and it is also convenient for the statistics of library bibliography, the publicity of new books, the consultation of reference materials and the search of relevant documents. The symbol of the theme is the theme range formed according to the corresponding literature content. It can interpret and express the literature according to the key words. The classification system and the mark of the topic are the important means to express the content of the paper. The description of language can comprehensively express the characteristics of literary form and content. It is convenient for readers to find some documents according to the different characteristics of the paper, and then get the paper that people need.
The Reform of Teaching Management Mode Based on Artificial Intelligence in the Era of Big Data
Authors: Diao Shanhui 
Published: June 2020

Abstract
To integrate AI into teaching management can optimize teaching tools, improve teaching efficiency, and ultimately improve teaching quality, so as to cultivate more excellent talents in line with market demand. The purpose of this paper is to study the reform of teaching management mode based on artificial intelligence in the era of big data. After understanding the characteristics of teaching management in the era of big data, this paper studies the reform of management mode of intelligent teaching and intelligent learning. Taking a comprehensive university as the research sample, this paper discusses the impact of MOOC on university teaching management through questionnaire survey and focus interview, and puts forward new ideas on how to better adapt to the development of education in the new era. The results show that the number of dissatisfied students is generally higher than the number of satisfied students in the freedom of major choice, curriculum choice, teacher choice and learning style choice. Only 16.09% of the students think that they have a high degree of freedom in these aspects. MOOC relies on advanced information technology to form a vivid information collection, which can help the management of college students change from unified management to personalized management.
Effect of Cam Angular Velocity on Working Efficiency of Fuel Engine
Authors: Wang Xuehui , Wang Tao , He Xiulan , Ma Zhihong 
Published: June 2020

Abstract
The intermittent working process of fuel entry and injection will cause the pressure in the high-pressure fuel pipe to change, causing deviations in the amount of injected fuel, which will affect the engine’s operating efficiency. Taking a high pressure oil pump system as an example, the feasibility of using constant pressure to improve the working efficiency of the high pressure fuel system is studied. First, a series of simplified assumptions are made for the model. Secondly, use MATLAB software to make cam mechanism diagram. A cam angular velocity model based on pressure stability was established using the fuel quality of one injection of the injector and the fuel quality of one cam rotation. Calculate the number of times the cam needs to rotate to get the time that the cam needs to rotate once, so as to determine the high stability of the cam. The angular velocity required for tubing pressure was obtained.
Discussion on the Construction of Stroke Treatment Network under the Background of Big Data
Authors: Shao ZhengGong 
Published: June 2020

Abstract
Stroke, also known as cerebrovascular disease, is one of the diseases with high morbidity, mortality, disability rate and recurrence rate in China. According to the epidemiological survey data released by the Chinese association of stroke, there are 14.94 million stroke patients in China, with a prevalence of 11.14.8 per 100,000 and a incidence of 246.8 per 100,000.Cerebrovascular diseases kill 1.54 million people every year, with a mortality rate of 114.8 per 100,000.It is very important for stroke patients to receive thrombolytic recanalization within “golden hour”. The purpose of this paper is to analyze how the current network model of regional heart and brain therapy is implemented and how to integrate scattered stroke data locally into a complete national data network. Stroke centers can use information analysis technology to identify potential stroke patients and provide timely treatment for stroke patients. This is also a new direction of stroke treatment that this paper aims to explore.
Innovation of Product Quality Supervision--From the Perspective of Standardization
Authors: Xu Qing , Liu Xize 
Published: June 2020

Abstract
Product quality supervision is the basic means to promote the production of products and operators to improve product quality. Standardization, as an institutional tool for the modernization of national governance system and governance capacity, has been paid more and more attention In recent years. In practice, standardization has been integrated into all aspects of economic and social development. This paper is based on the perspective of standardization. The research status of product quality supervision is analyzed. The status quo of standardization of product quality supervision is reviewed. On this basis, the innovation path and method of product quality supervision are put forward from the perspective of standards, which can provide reference for better exerting the role of standardization in product quality supervision.