bluuebunny/crossref_metadata_2025 huggingface dataset:
Performance Comparison of Machine Learning Algorithms for Classification of Chronic Kidney Disease (CKD)
Authors: Abdullah Azian Azamimi , Hafidz Syazwani Adli , Khairunizam Wan
Published: June 2020

Kidney is one of the vital organs in a human body while ironically, chronic kidney disease (CKD) is one of the main causes of death in the world. Due to the low rate of loss of kidney function, the disease is often overlooked until it is in a really bad condition. Dysfunctional kidney may lead to accumulation of wastes in blood which would affect several other systems and functions of the body such as blood pressure, red blood cell production, vitamin D and bone health. Machine learning algorithms can help in classifying the patients who have CKD or not. Even though several studies have been made to classify CKD on patients using machine-learning tool, not many researchers perform pre-processing and feature selection technique to obtain quality and dependable result. Machine learning used with feature selection techniques are shown to have better and more dependable result. In this study, feature selection methods such as Random Forest feature selection, forward selection, forward exhaustive selection, backward selection and backward exhaustive selection were identified and evaluated. Then, machine learning classifiers such as Random Forest, Linear and Radial SVM, Naïve Bayes and Logistic Regression were implemented. Lastly, the performance of each machine-learning model was evaluated in terms of accuracy, sensitivity, specificity and AUC score. The results showed that Random Forest classifier with Random Forest feature selection is the most suitable machine learning model for classification of CKD as it has the highest accuracy, sensitivity, specificity and AUC with 98.825%, 98.04%, 100% and 98.9% respectively which outperformed other classifiers.
The Use of Ontology in Clinical Information Extraction
Authors: Jusoh S , Awajan A , Obeid N
Published: June 2020

Extracting clinical data from medical or clinical reports is a crucial effort. These records contain the most valuable pieces of evidence of treatments in humans. Integration of information extraction (IE) and ontology can produce a great tool for clinical concept extraction. The aim of this paper is to present a quick overview of the research work which has applied IE and ontology approaches in medical or clinical concepts extraction. This paper also presents our proposed framework based on the integration of both approaches mentioned above for extracting clinical concepts.
Students’ Perceptions of Using Information and Communication Technology as an E-Learning Method
Authors: Halim H , Sulaiman N
Published: June 2020

Nowadays, ICT is used as a catalyst in e-learning to improve the quality of the teaching and learning processes. E-learning primarily incorporates interactive multimedia elements to involve and appreciate learners in the learning process. Multimedia applications provide interactive features, navigation, attract students and also help students to focus more during the learning process. This paper focuses on student perceptions of e-learning as a method of teaching and learning. The study sample consists of two groups of students: group A for traditional approach of learning and group B for e-learning approach. Moodle is used as a platform for e-learning. The research tool uses questionnaires and log data from the activity of Moodle. The questionnaire results are analyzed using SPSS software. From the analyzed data on student’s perception of traditional learning, 53% of students deny that this approach allows them to develop their current understanding of learning. 26.7% of respondents strongly disagree that content is appealing in traditional teaching delivery. A total of 55% of students agree to the use of multimedia e-learning to increase student understanding. Multimedia elearning was interesting and enjoyable to use, according to the findings, 75% of respondents agreed. The study shows that the student’s perception of multimedia e-learning helps to increase the student’s performance. The result has shown that students have demonstrated better learning performance through e-learning.
Widad Psychetra Door (WPD) as New Mobile Application (APPS)
Authors: Harun Siti Aminah Binti , Kasim Nur Muneerah , Jinnah Arifa Binti Mohd Ali , Fahmi Fajjar Binti , Sundaralinggam Navina AP , Khalili Danial Amin Bin , Firdus Fadhlin Mukhtarah Binti , Khair Nur Nabila Binti Sabahul , Noor Ain Aliya Binti Mohd , Saharudin Nurul Wahidatul Nasrah Binti
Published: June 2020

The purpose of this paper is to address the new invention - Widad Psychetra Door (WPD) on how re-generate low costing instrument of psychology games (combining perceptual illusions and active focus repetitive behavior) to Re-Instrumental Scale for basic Personality Test among teenagers’ personality. This study is conducted to identify the perception of the 10 adolescents from their own experiential testing of WPD. This research used a qualitative methodology through interviewed and data was analysed used content analysis with 10 respondents in age range between adolescent are 14 to 16 years old. The segmented difficulty level shape and vision experiences is based on five factor model (Agreeableness) and their satisfaction which segmented can be the best analogues in future application (apps) of WPD. The result shown the level of satisfaction is higher in third segmented and majority of respondents highly perceived this WPD can be applied as one of the application games (apps).
Selection of Optimal Ingredients for Out-of-furnace Smelting Based on Computer Application
Authors: He Yong
Published: June 2020

The optimization system software of the blast furnace batching studied in this paper is a complete set of blast furnace batching problem solutions. Its theory is based on the classic material balance and heat balance equations of blast furnace smelting. Blast furnace batching calculations used by most domestic steel companies are mainly based on forward calculation plus verification adjustment. Optimization of blast furnace batching based on linear programming the system can effectively improve calculation efficiency, and provide clear and unique optimization for blast furnace operators in all experience levels matching scheme.
An Extensive Research on Application of Interaction Design in Products
Authors: Wang Li
Published: June 2020

The human society has been ushered in an era of experience economy oriented by information products thanks to the booming of information technology since 1940s. The human society is featured by the fact that consumers begin to pursue spiritually satisfactory products rather than mass-produced products at functional and modelling levels. The so-called “experience” is what consumers seek for an emotionally and spiritually pleasing experience. Traditional industrial design concepts can no longer meet the needs of the customs nowadays, so new concepts to guide the design of products from the perspective of interaction are introduced by designers to solve the contradiction between customers’ need and products supplied. On the basis of the this background, this paper tends to discuss how interaction design can be applied in product development. The software and industrial products are in an attempt to provide inspirations into how to put this concept into practice.
Empirical Study of Computer Application and Piano Teaching
Authors: Wang ShaoFeng
Published: June 2020

Computer technology has been extensively applied to various fields, and piano courses in colleges and universities are no exception. The application of computer technology has revolutionized and driven the development of the traditional model for piano teaching. This paper focuses on the application and specific practice of computer technology in piano teaching, such as the application and analysis of MIDI music technology in piano teaching, application of acoustic sequencer software for visual piano performance analysis, application of plotting software for polyphonic piano works analysis and teaching, analysis of polyphonic works by using acoustic sequencer and plotting software, application of specialized computer piano teaching software to promoting self-directed learning in students. The use of computer technology in piano education and teaching allows more people to acquire piano knowledge, skills, and techniques, expand the talents in piano education and teaching, and cultivate more popular talents who understand piano and can play piano.
Assessment of Mechanical Crack Fault Dependent on Wavelet Finite Element Model
Authors: Zhang Bo , Cui HaiJun , Wang Meng
Published: June 2020

Given that cracks in the forging and heat treatment process of switch actuator rod can affect its service life, damage mechanics is combined with the finite element analysis method to calculate the fatigue crack propagation life by using the Paris equation. The wavelet finite element model is used to establish the GM (1,1) grey differential equation. The identification parameter of the model is determined by experimental data calculation to assess the fatigue crack life of the switch actuator rod and compare it with the measured data in the experiment. The results show that the application of the wavelet finite element model to assess the fault of switch actuator rod is simple, feasible, and highly accurate, with excellent application value.
On the Management of Accounting Files in Public Institutions Based on Informatization
Authors: Xue JingYu
Published: June 2020

In this paper, the necessity that public institutions should build a comprehensive information platform combined with other related information systems was analyzed, with the Internet+, big data, cloud computing, and other information technology as the means, internal control as the core, business information, and financial information systems as the support, to improve the management level and governance capacity of public institutions.
Research on Strategic Cost Management of Enterprises Based on Porter’s Value Chain Model
Authors: Ruan Shuai
Published: June 2020

With the increasing competition among enterprises, modern enterprises are facing a complex internal and external situation, which requires enterprises to strictly control their own cost management. The cost management activities of enterprises have great potential. Through effective cost control, we can strictly control the cost management of each link, which can reduce our own costs and improve their competitiveness. Through Porter value chain model, enterprises can control their own strategic cost, which caters to the competitive environment of enterprises. Through the value chain analysis tool of strategic management, we can better calculate the cost management of value chain, which can break through the limitation of traditional cost management. Through the whole life cycle, we can save production, R &, D and design, raw material procurement, production and processing costs, which can complete the whole process control of the value chain. Firstly, this paper analyzes the concept of Porter’s value chain model. Then, this paper analyzes the strategic cost management based on value chain. Finally, some suggestions are put forward.
Research on Human Resource Development and Training Design Based on ARCS Model
Authors: Xia Yi
Published: June 2020

The major of human resource management has trained a large number of human resource management talents for enterprises and institutions, which is the core major in line with the needs of rapid social development. However, with the rapid development of society, the traditional human resource development and training can not meet the needs of society, which has become an obstacle for enterprises to obtain practical talents. Therefore, we should enhance the practice and operation of training skills training, which will improve the practical ability of students. Human resource development and training can make some progress through management game, scenario simulation and case teaching. However, there are still some deficiencies in human resource development and training. ARCS model is a method to stabilize students’ learning motivation, which can guide teachers’ teaching practice. By changing teachers’ traditional ideas, the ARCS model can enhance students’ initiative in learning. First, this paper analyzes the benefits of the ARCS Motivation Model. Then, this paper puts forward some questions. Finally, some suggestions are put forward.
Research on the computer evaluation of land price in Urban-rural Fringe Based on RS and GIS
Authors: Qin ChunLi
Published: June 2020

Urban-rural fringe land prices is the weak spot in the study of land prices, rapid and healthy development of land market demands on the land price evaluation. Under the guidance of the concept of sustainable development, this paper discusses the composition of land value in the rural-urban fringe, which is divided into three parts: the value of quality, the value of the environment and the value of existence. The value of quality is evaluated by revenue reduction method, but at present, when using this method to evaluate the land price, the actual pure income is used to replace the expected pure income, resulting in the unreasonable land price. This study systematically demonstrated the feasibility of using grey system modeling to predict the expected net income of land, and analyzed the whole modeling process. Finally, the model was applied to the land valuation of urban and rural areas in our city.
Performance Evaluation of English Part of Speech Tagging Based on Multi-feature Knowledge Algorithm
Authors: Li Jian
Published: June 2020

In order to solve the traditional English part-of-speech tagging methods, a variety of English part-speech tagging methods are introduced. This paper systematically studies the method of multi-feature knowledge algorithm to mark English part of speech, then demonstrates it theoretically, and gives some examples to illustrate the characteristics of this method, and then evaluates it objectively.
Study on the Improvement of Parent-Child Relationship of Adolescents Based on Computer
Authors: Wu Qiong
Published: June 2020

With the rapid development of society, the study pressure of teenagers and the work pressure of adults are more and more heavy, which also leads to the disharmony of parent-child relationship. Therefore, this paper uses computer to set up the software of improving parent-child relationship, which mainly includes the examples of improving teenagers. Through computer-aided technology, this paper tests the effect of improving the parent-child relationship of teenagers. Through the test results, we can know that computer-aided technology can guide the psychological quality of teenagers, which will greatly alleviate the parent-child relationship of teenagers.
Analysis on Landscape Design Based on Digital Media Technology
Authors: Yu DongZhou
Published: June 2020

With the rapid development of Internet technology, the traditional English teaching mode is no longer suitable for the current classroom teaching, which requires colleges and universities to gradually meet the needs of personalized and differentiated learning. In the 21st century, colleges and universities must carry out modern English teaching mode, which can better carry out modern technology education, such as micro class, MOOC class, flipped class and so on. Through online learning platform, students can better meet the interaction of English teaching, which is more conducive to English teaching. This paper first analysis the current situation of English teaching mode. Then, this paper analysis the problems in English classroom teaching. Finally, this paper puts forward the development trend of English teaching mode.
Analysis on the Country Differences of CSR of Multinational Corporations Based on Fuzzy C-Means Clustering
Authors: Cui GuoHang
Published: June 2020

At present, the fulfillment of corporate social responsibility has become an important responsibility of Chinese enterprises. 10 manufacturing enterprises of China top 100 enterprises to be the study of corporate social responsibility. This article applies the method of fuzzy c-means clustering. It directly and scientifically reflects the development status of sample CSR. Conclusion shows that the uneven development of China’s corporate social responsibility of manufacturing, the level of corporate social responsibility to improve, enterprises need to actively fulfill market responsibility, social responsibility, environmental responsibility, and should strengthen the responsibility management.
Discussion on the Application of EOR Technology in Oil Field
Authors: Wang ChongWen
Published: June 2020

The driving technology of tertiary oil recovery is a higher-level oil recovery technology based on primary and secondary oil recovery technology, which is an important technology to fully exploit oil resources. Compared with the secondary oil recovery technology, the tertiary oil recovery and displacement technology is a great leap in the field of technology, which will greatly improve the efficiency of oil recovery and displacement. Tertiary oil recovery technology is based on the dual effect of physical reaction and chemical reaction, which will better exploit oil and natural resources. At present, the EOR technology has been applied to many large oil fields, which has become a perfect production technology. Through the tertiary oil recovery technology, the production efficiency of the oilfield has been improved by one third. Firstly, this paper analyzes the working principle of tertiary oil recovery technology. Then, this paper analyzes the application of EOR technology.
Research on the Optimization of English Automatic Translation by Weakening Grammar Rules
Authors: Zhu Rui
Published: June 2020

At present, with the development of intelligent technology, automatic translation software has been widely used. However, most of the automatic translation forms a rough language processing mechanism, which has a high error rate. To solve this problem, this paper first analyzes the principle of English automatic translation, then studies the optimization of English automatic translation algorithm by weakening grammar rules, and finally verifies the optimization of English automatic translation by weakening grammar rules.
Informatization Construction Strategy of College Personnel File Management under the New Media Environment
Authors: Guo Fan , Man Jingtao , Ma Chao
Published: June 2020

The continuous progress of information technology makes China’s new media constantly develop, and the new media environment has become the mainstream environment of the current society. The development of new media has promoted the reform of various fields, especially the reform of archives management in colleges and universities. To realize the combination of archives management and information technology is the inevitable trend of the development of The Times, which is conducive to promoting the information construction of archives management. However, at present, the management mode of personnel files in colleges and universities is still relatively backward, and the information construction is not perfect. The purpose of this paper is to explore the current situation of personnel file management in colleges and universities, put forward the scientific development strategy of personnel file management informatization construction in colleges and universities, and promote the information management of personnel file in colleges and universities. This paper on the concrete connotation of the new media environment and information archives management are discussed, and then analyzes the value significance of the university personnel file management information construction, and then with the help of questionnaire, the current our country university personnel file management has carried on the experimental investigation, and puts forward the new media environment according to the experimental results of informationalization construction of the university personnel file management three specific strategies. The experimental results of this paper show that there are still many problems in the management of personnel files in Chinese universities, and the overall management efficiency is low.
Innovative Analysis of Higher Vocational Education Model Based on Virtual Reality Technology
Authors: Man Jingtao , Guo Fan , Ma Chao
Published: June 2020

Higher vocational colleges are an important part of China’s higher education system. They pay attention to the cultivation of students’ ability to analyze and solve problems, and play an important role in promoting students’ understanding and mastery of knowledge. At the present stage, due to the influence of many historical and realistic factors, the educational and teaching conditions of China’s higher vocational colleges are relatively weak, and the supporting charity of teaching is slightly outdated, so many advanced teaching practice models are difficult to play their roles. Virtual reality technology is the combination of information technology and artificial intelligence, it represents the forefront of scientific and technological development. With the popularization and application of this technology in various industries, more and more people have noticed that innovative education in vocational colleges can be improved from the perspective of technological innovation and teaching mode innovation. The purpose of this paper is to explore how to realize the innovation of higher vocational education model with the intervention of virtual reality technology. This paper starts with the application status of virtual reality technology, analyzes the specific measures of this technology in the innovation practice of higher vocational education, and simulates and analyzes the effect of this technology on practical teaching innovation. The research results of this paper show that virtual reality technology can greatly improve the formalization, inpertinence and imperfect training system of innovation education in higher vocational colleges, break the limitation of time and space, reduce the cost, and improve the status quo of innovation education in higher vocational colleges.
NI-DBSCAN: DBSCAN under Non-IID
Authors: Lv Yikun , Jiang He , Pan Pinchen
Published: June 2020

DBSCAN (Density Based Spatial Clustering of Application with Noise) is an example of density-based clustering algorithm. Aiming at problem that DBSCAN algorithm assumes that the data are independent and identically distributed and the traditional distance formula is difficult to accurately calculate the similarity degree between categorical data. Density Based Spatial clustering algorithm of Application with Noise under Non-IID (NI-DBSCAN) is proposed. The unsupervised clustering problem of categorical data is dealt with by means of the Non-IID (non-independent and identical distribution) thought. Using coupling similarity to measure similarity can better reflect the “real relationship” between categorical data. The experimental results on the UCI dataset show that the algorithm can obtain satisfactory clustering results and improve the applicability and accuracy of the algorithm.
Time Control Model for Increasing Work Rate to High-Pressure Tube
Authors: Chen Yandong , Wang Di , Song Judong , Ma Zhihong
Published: June 2020

The work of the fuel engine is based on the fuel entering and expelling high-pressure tubing. The intermittent work of the fuel entering and expelling will lead to the change of pressure in the high-pressure tubing. This paper established the time control model to carry out the research. For the first question, we made the fuel entry period and injection period equal to 100ms. Because of

Δ
P

Δ
ρ

=

E

ρ

, the volume of the high-pressure tubing remained constant, and the fuel mass into the high-pressure tubing was equal to the fuel mass ejected from the high-pressure tubing. The density time control model was established under the condition of mass conservation, and the opening time of each time was obtained to be 0.275ms. For the second question, we set the pressure increase after each fuel entry in the adjustment process to be equal. Due to

Δ
P

Δ
ρ

=

E

ρ

, we obtained the new density value of the high-pressure tubing, and substituted the density and time model to obtain the opening time of each one-way valve.
Exploration of New Blended Teaching Reform under SPOC Mode -- a Case Studies Public Crisis Management as an Example
Authors: Li Xing , Li Ting , Nan Yadi , Jia Ying , Liu Hui
Published: June 2020

This research is the formation of autonomous learning ability is an important characteristic of self development, self-development is one of the core qualities of students in China. Students form autonomous learning ability, which means that students can have more learning awareness, more diverse and suitable learning methods, more effective assessment and regulation of learning progress. It is an inevitable choice for college students to strengthen their self-learning, which is an inevitable choice for the development of the times and their own development, help students with more learning attitude, with more good learning strategies, with more reflection to promote skills. SPOC is the teaching media and resources adopted by many universities. How to use SPOC to promote college students’ autonomous learning has become an important research topic of educational technology.
Application Research of Display Design Based on Virtual Reality
Authors: Zhang Jiao
Published: June 2020

This article expounds the concepts, characteristics, expressions, and basic types of virtual reality display design. It also discusses the design principles that virtual reality design should follow its practical significance for all design. By analysing its specific applications in commercial product display, built environment display, cultural genetic reincarnation and so on, its different application values and meanings are explained, and the two design categories of 3D modelling virtual reality display and panoramic virtual reality display are studied and discussed the design and implementation principles, application technology and design content in detail.
Research on Virtual Piano Based on Computer Binocular Stereo Vision
Authors: Zhao Lei
Published: June 2020

The binocular stereo vision technology emerges along with the development of digital technology, which has been widely employed in virtual piano to effectively remedy the user-unfriendliness and unnaturalness of the keyboard and mouse used as the key. This paper discusses how binocular stereo vision technology can be made good use to realize the function of the piano so that a comfortable real-time human-computer interaction can be completed.
Research on Intelligent Security Video Image Analysis Based on Deep Learning
Authors: Cheng Ling
Published: June 2020

For video surveillance analysis, target detection algorithms are particularly important. Aiming at the problem of target detection in road traffic scenes, this paper proposes a non-motor vehicle target detection method that uses EdgeBoxes algorithm and deep learning fusion. It is inspired by deep learning target classification algorithm Fast R-CNN, and combines non-motor vehicle data samples in VOC format to integrate road traffic scenes. We use the EdgeBoxes algorithm to extract the target of the sample. It is recommended to construct an appropriate amount of region of interest, and inputs the network for iterative training with the sample. In the target detection of road traffic scenes, compared with the traditional method based on the fusion of the basic EdgeBoxes algorithm and the optimized Fast R-CNN method, the detection accuracy is slightly improved, the calculation is significantly reduced, and the algorithm has advantages in time complexity.
Graphic Art Design Based on Computer Graphics Software
Authors: Wang Ting
Published: June 2020

Currently, graphic design has been shifted from traditional hand-drawing to computer-aided design comprehensively, which allows the design concept to be effectively transformed into gorgeous realistic graphics. Through the functional analysis and hands-on application of three professional design software (CorelDRAW, Photoshop, and Flash), their characteristics and application directions are analyzed and compared in this paper. In addition, the necessity and development trend of computer graphics software in graphic art design are pointed out.
RETRACTED: Development of Graphic Design Based on Artificial Intelligence
Authors: Wu Shan
Published: June 2020

Since the emergence of artificial intelligence (AI) in the graphic design field in 2016, it has posed a severe threat to the traditional graphic design industry and designers. In this critical situation, how the traditional graphic design industry will develop in the next step has become the focus of concern in many people, especially practitioners in the graphic design industry. Hence, the future development path of graphic design is analyzed from the perspective of AI in this paper, which mainly includes four aspects as follows: the multi-dimensional performance of graphic design, the integration of new technologies in graphic design, the “interdisciplinary” cultivation of talents, as well as the positioning and promotion of graphic designers. It is expected that the analysis of these four aspects can provide some reference for the future development of the graphic design industry.
Application of Virtual Machine Technology in Computer Teaching
Authors: Hu HuiYing
Published: June 2020

Based on the demand for computer practical teaching activities in higher vocational colleges, we introduced the virtual machine technology to the teaching of some courses as new auxiliary teaching means. It has strengthened the classroom training link, broken through the traditional teaching model, and provided an experimental environment without damage to computer hardware. Through the hands-on operation, the students have improved their skills, and good teaching results are achieved in the courses.
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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Document 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.