bluuebunny/crossref_metadata_2025 huggingface dataset:
The Art of Dance from the Perspective of Artificial Intelligence
Authors: Li Xiaocheng
Published: April 2021

With the continuous improvement of artificial intelligence application level, computer data processing technology has gradually become the main and classic auxiliary technology application method in the daily work and life of the majority of society members. This article is based on artificial intelligence technology, using computer animation technology, combining artificial intelligence, computer music and graphics disciplines, to show the musical image in the virtual dance of characters, involving the analysis and recognition of musical elements, the establishment of character models, and motion control And other issues. This paper explores the Hidden Markov Model (IIMM, HiddenMarkovModel) model characteristics and algorithm training methods, and proposes an improved HMM training method model algorithm to identify common dance movement models and the control and synthesis of basic dance gestures. This system uses animation as a virtual dance character to show more dance artistic movements for the issues related to the display and scoring of dance movements. Based on the dance movement recognition algorithm and other related algorithms (such as score and error judgment algorithm, error reduction algorithm, etc.), this paper constructs a set of dance movement technical feature statistics and dance movement training. This system realizes the technical statistics and dance training of dance competitions. Two major functions. The above research solves the technical problems of software and hardware engineering from data collection to algorithm programming, and provides a functional platform for intelligent analysis and auxiliary training of dance art, which can be promoted and applied to more professional dancers and dance teachers, thereby accumulating a large amount of data and refining Produce more technical index parameters in line with the rules of dance art, and finally form a set of professional products for dance art intelligence analysis and auxiliary training.
Legal Practice Mode Based on Computer Technology
Authors: Chen Sisi
Published: April 2021

With the rapid development of computer science and technology, virtual reality technology emerges as the times require, and is valued and favored by all walks of life. Law education has always been based on theoretical teaching, through a large number of theoretical recitation and contact, to improve students’ legal professional performance, but this teaching mode often leads to the plight of students with sufficient theoretical knowledge but lack of practical ability. This paper mainly designs and tests a VR education platform based on computer technology, and carries out a comparative experiment on law major classes in Colleges and universities in this city. The test data show that the response speed of the platform is less than 3 seconds, and the compressive capacity meets the requirements of this experiment. Through the analysis of the experimental data for one month, VR education platform based on computer technology can cultivate students’ practical ability, and effectively solve the dilemma of law students’ emphasis on theory but not on practice.
Application and Research of New Power Supply in the Construction of “Internet of Things Plus” Smart City
Authors: Li Ting , Yu Haibin
Published: April 2021

With the continuous development of China’s information technology, the “Internet of Things plus” era, under the background of China’s knowledge society, the city gradually evolved into an open innovation model, in order to adapt to the development of the times, smart cities came into being. In addition, the regional industry is mainly in the specific area of the city, the distribution of industry in the city, the specific economic relations between the urban areas to reflect. Therefore, this paper mainly expounds the concept of “Internet of Things Plus” and related technical analysis, introduces the application of “Internet of Things Plus” in new smart city applications, and puts forward specific optimization measures. To this end, after consulting the literature at home and abroad, this paper promotes the better application and research of new smart cities by comparing and analyzing the examples of smart city construction and the application of the Internet of Things, based on a variety of intelligent algorithms to compare and analyze the rational use of the Internet of Things. According to the results of the experiment, it can be found that the rational use of hybrid algorithms can make the “Internet of Things Plus” better applied to the new power supply in the construction of smart cities.
Box Folding Machine Design by Using Product Design Method Functional Based Model
Authors: Wang Yuxing , Stone Robert B.
Published: April 2021

In order to meet the growing demand for products, scientists have been developing product design methods. Based on the existing product design methods and the Oregon State University’s Modern Product Design, this report talks about the improved product design method and uses this method to design one new cases. The example case is box folding machine. It consists of a feeding system, a transport system, a folding system, and an exporting system. The core part folding system consists of a two-step folding system. By folding twice, the finished box is wrapped and self-locking. Through the final estimation, the folding speed of the box folding assembly line is five times that of manual folding. As a result, the box folding assembly line can meet the needs of fast folding.
The Development Way of Folk Arts and Crafts in Weifang, Shandong in the Era of Big Data
Authors: Song Chunyan
Published: April 2021

Weifang is a famous handicraft city in history. It not only has profound cultural deposits, but also has unique regional characteristics, and its folk arts and crafts symbols are diversified. Weifang is the largest kite, woodcut New Year picture origin and distribution center in the history of our country. With the economic development of Weifang, Shandong province, folk arts and crafts have also received more attention. Especially driven by big data, folk arts and crafts are facing both opportunities and challenges. The integration of new media and information technology with folk arts and crafts symbols will bring new thinking and new opportunities to the development of folk arts and crafts symbols in Weifang, Shandong.
Application Analysis of Indoor Visible Light Communication System
Authors: Zhang Yong , Wang He-nan , Cheng Zhan-xin , Han Dong
Published: April 2021

The technology of using light-emitting diodes as light source for visible communication is one of the hot spots in the field of optical wireless communication. This paper analyses the characteristics of visible communication technology, focuses on the key technologies needed for the realization of visible communication system in a specific room, and studies the feasibility and application prospects of indoor visible communication combined with the development status at home and abroad.
Exploration and Research on the Mixed Teaching Mode of Basic Japanese Course under the Background of Information Technology
Authors: Wei Yarong
Published: April 2021

At present, the general trend of information technology development is changing from the typical technology-driven development mode to the combination of application-driven and technology-driven mode. The development of information technology brings both opportunities and challenges to the reform and innovation of foreign language teaching. This paper starts with features and types of information-based foreign language teaching, to explore the mixed teaching mode of basic Japanese course under the background of information technology. Choose a reasonable teaching platform and teaching resources according to the teaching objectives; make a good teaching design for online autonomous learning for each chapter before class; to do well in offline classroom teaching development and classroom network-assisted teaching; and supplement online learning materials effectively for students after-class learning. Pay more attention to process evaluation, multi-subject evaluation and visual data analysis and evaluation based on big data. Pay attention to the role of games in basic Japanese learning, applying information technology to the teaching of basic Japanese courses and exploring the mixed teaching mode of basic Japanese courses can improve teaching effectiveness in all directions and contribute to the overall improvement of teaching quality.
Application and Research of Computer Big Data based on Structure in Internet Learning
Authors: Zhang Qiang
Published: April 2021

With the development of science and technology, information data has penetrated into various industries. Through data mining, analysis and application of computer, the development trend of society can be effectively predicted, and the correct development strategy can be formulated. In the field of education, computer big data also plays an important role in supporting the implementation of the concept of lifelong learning. However, in teaching practice, how to play an optimal role in computer big data has become the focus of teaching exploration [1]. Based on this, the following research on the application of computer big data in Internet learning aims to enhance the positive role of computer big data in the field of education and improve learning efficiency.
Research on the Application of Artificial Intelligence Technology in Animal Embryo Transfer
Authors: Liu Yanping
Published: April 2021

Animal embryo transfer technology can show strong practical value, and its use in the animal husbandry industry is particularly prominent. It should be because this technology can significantly increase the birth rate and survival rate of animal pups within a period of time. This technology can also the animal’s own reproductive ability has been further improved. With the popularization of this animal embryo transfer technology, the animal husbandry industry can achieve rapid development in a short period of time, enabling farmers to obtain higher and better economic benefits. Since animal embryo transfer technology entered the field of animal husbandry in the 1970s, the role of animal embryo transfer technology has become increasingly apparent. This technology has penetrated into biological reproduction technologies such as animal breeding, gender control and animal cloning. And animal reproduction technology has become leading the cutting-edge scientific reproduction technology of the livestock industry in the 21st century. Nowadays, artificial intelligence technology combines the research results of many disciplines such as theoretical science, technical science, and applied science. As a practical technology leading a new generation of technological revolution and industrial reform, artificial intelligence technology has a significant impact on human social progress, economic development, and biotechnology. However, the transformation of artificial intelligence technology has also brought some huge challenges to social stability. How to treat artificial intelligence and animal embryo transfer technology, how to integrate and coordinate these two technologies, and how to solve these technical design problems have become the urgent problems that need to be solved.
Phantom Traffic Jam Based on MATLAB
Authors: Wang Luqiao , Liang Xiangyang
Published: April 2021

In recent years, many cities have formed a complete modern transportation system, but the phenomenon of “phantom traffic jam” is also frequent, the reason of which has been concerned by people. At present, much research has analyzed this phenomenon, but there are still many questions about its occurrence. Therefore, this paper makes an in-depth study and analysis of the phenomenon of “phantom traffic jam”, it can be found that the causes of this phenomenon are the bad driving habits of drivers and unreasonable road planning. In view of this situation, this paper adopts MATLAB as the analysis tool, and establishes a MATLAB traffic congestion prediction model according to the main characteristics of the phenomenon of “phantom traffic jam”. The occurrence mechanism of the phenomenon of “phantom traffic jam” has been combined and it can control the existing traffic network intelligently. According to different congestion conditions, the traffic congestion prediction model is tested separately in the form of secondary classification. It can be found that the accuracy rate of the prediction system in this paper reaches more than 90% from the test results. Therefore, the model can meet the current requirement of traffic congestion prediction.
Big Data Reveals Corporate Development Strategy: Innovation-Oriented or Economy-Oriented?
Authors: Zhou Jiayao
Published: April 2021

In the context of a new round of global scientific and technological revolution and industrial transformation, new enterprises with technological advantages and market prospects are the main force leading cutting-edge technology and disruptive technology. However, there are target differences and governance conflicts between venture investors and new enterprises, which are mainly reflected in whether to give priority to R&D and innovation strategies with high risk, long cycle and large investment. Then, is the enterprise development innovation-driven or still based on the past economic-orientated? Based on Python and STATa software, this paper conducts big data analysis on 2,756,910 samples of Chinese enterprises, and finds that the innovation-driven strategy of enterprises is still at the strategic level, and the tactical level is still dominated by economic scale.
Influencing Factors of Knowledge Cooperation in Urban Agglomeration on Yangtze River Delta from the Perspective of Innovation Network
Authors: Li Yan , Luo Wei
Published: April 2021

Based on the perspective of innovation networks, an theoretical and empirical analysis of the influencing factors of the knowledge cooperation network of urban agglomeration on Yangtze River Delta (UA-YRD) in 2009-2013 and 2014-2018 was carried out using social network analysis. The analysis result shows that geographical distance, gap in the level of economic development, institutional proximity, gap in the level of scientific research output, and gap in the level of scientific research input are important factors affecting the knowledge cooperation network of UA-YRD, among which geographical distance, gap in the level of economic development and gap in the level of scientific research output have significant negative impacts on it, while institutional proximity and gap in the level of scientific research input have significant positive impacts on it. The analysis of this article will help to raise the level of knowledge cooperation in the Yangtze Delta, Improve the efficiency of collaborative innovation and improve the integrated development system and mechanism, which will also drive the development of the UA-YRD to a great extent.
Wechat Positive Energy: the Application of Wechat Public Platform in College Ideological and Political Teaching
Authors: Cheng Weiguang
Published: April 2021

WeChat is one of the most important signs of the new media era; WeChat public platform is one of the most important carriers in the new era. It has set off a micro-revolution in the field of ideological and political teaching in colleges and universities. The WeChat public platform plays a huge role in online education, especially in ideological and political teaching. Through the practical application of WeChat public platform in ideological and political teaching, it promotes the organic integration of handheld classrooms and real classrooms, creating a new hybrid teaching. Situation; a brand-new teaching model and a new type of teacher-student relationship have been constructed; a new teaching evaluation mechanism has been formed, making the traditional advantages of ideological and political education highly integrated with information technology.
A Design of a Piece of Equipment to Deactivate Enzymes in Foliage by Baking
Authors: Kou Can
Published: April 2021

The main purpose of deactivation of enzymes is to destruct and passivate the activity of oxidase in foliage through high temperature, so as to inhibit the enzymatic oxidation of tea polyphenols. By evaporating part of the water in leaves, fresh tea leaves will get soft, which is easy to be rolled into shapes. Meanwhile, it enables tea leaves to form high-quality aroma. This paper introduces a piece of equipment to deactivate enzymes in foliage with a flue gas disposing function, which benefits the users in reducing cost and improving efficiency. The practicability of the equipment is enhanced as well.
An Analysis of Information Security and Protection Strategies in Colleges and Universities in the Environment of Smart Campuses
Authors: Huang Zhiyuan
Published: April 2021

Smart campus construction is constantly promoted in colleges and universities. While teachers and students in colleges and universities are having convenience provided by smart campuses, their information security is also facing unprecedented challenges. This paper analyzes all kinds of threats to information security of colleges and universities in the environment of smart campuses, and explores the protection strategies of information security in view of the construction of smart campuses in many aspects.
Distribution Characteristics Based on Data Analysis of Edible Vegetable Oil Supermarkets in SY City
Authors: Wang Yujie , Wu Yaoting , Fu Licheng , Wang Rui , Feng Suping
Published: April 2021

Market research on edible vegetable oils of six main supermarkets in SY City and distribution characteristics based on data analysis including brands, types, packages, and prices of edible vegetable oils were studied, in order to understand the market characteristics of edible vegetable oils and judge the market trend of edible vegetable oils. Results show that edible vegetable oil market of six main supermarkets in SY is oriented by soybean oil, colza oil, peanut oil and blend oil, among which peanut oil and blend oil are dominant with equal occupancy of 21.3% and total occupancy of 41.6%. Tea oil, olive oil, flaxseed oil and other small-variety vegetable oils have also occupied certain market shares gradually. A total of 29 brands are investigated and four brands including JLY, LH, FLM and CSH occupy 51.8%. Edible vegetable oils are packaged in sizes 0.25L to 5L and two popular packing specifications are 1.8L and 5L. 1.8L packing specification occupies 59.6%. Vegetable oil prices investigated from RMB10 to RMB30 per litre occupy 78.0%.
Integrating Points-of-Interest and Areas-Of-Interest for Commercial Space Pattern Analysis
Authors: Xu Haibin , Wang Zhaohai
Published: April 2021

Commercial space pattern (CSP) analysis is an important topic in geographic research. Most studies on CSPs are conducted on a grid or block scale and therefore are unable to meet the requirements of refined CSP analysis. As geographic places that people can experience in urban environments, areas of interest (AOIs) provide a new research perspective for CSP analysis. Hence, a refined study on the CSP is presented, taking the Yuexiu district of Guangzhou as an example that integrates AOI and point-of-interest data extracted from AutoNavi Maps using kernel density analysis. The results show the following: the Yuexiu district has a multicore business development structure with relatively highly clustered business-operation AOIs. The approach in this study can help better discover business features, analyze more refined CSPs, and provide a new perspective for CSP research, making it valuable for understanding urban commercial spaces and optimizing commercial layouts.
Innovative Development of Computer Digital Hand-Drawing Technology in the Process of Jewelry Design
Authors: Kong Yuanyuan
Published: April 2021

Compared with the jewelry industry, traditional jewelry design can no longer be satisfied with the current fast-paced era. The emergence of computer digital hand-painting technology has opened up new horizons for jewelry design and production. We have brought about jewelry design in the computer age. Affected, the past traditional jewelry design has been new development. In jewelry design, the use of computer digital hand-painting technology allows designers to quickly and efficiently design the jewelry they want to design, and to grasp the emotions that the design inspiration needs to convey in time. The purpose of the research in this article is to analyze the use of computer digital hand-painting technology in the jewelry design process, and make innovative developments to traditional design methods. This article starts from the perspective of computer digital hand-painting technology, taking the current computer era as the background, and on the relevant realistic background and theoretical basis, to promote the innovation and development of jewelry design as the specific research object, and make full use of the current fast-developing computer digital hand-painting technology Make a breakthrough to innovate and develop the jewelry design process. The experimental results show that computer digital hand-painting technology can make a breakthrough in the process of traditional jewelry design and construct a new model of jewelry design.
Development Planning and Path Analysis of Intelligent Logistics Industry in Big Data Age
Authors: Yu Feng , Zhou Yingjie
Published: April 2021

Based on the theory of industrial development and modern logistics, combined with the development course, basic characteristics and development trend of intelligent logistics in China, this paper discusses the basic connotation and framework of intelligent logistics, and analyzes the supporting system needed for the development of intelligent logistics from the aspects of policies and regulations. After analyzing the present situation of intelligent logistics development support system construction in our province, the comprehensive score ranks 17th among 30 provinces and cities (except Tibet) in mainland China. It is considered that it can be improved from three aspects: speeding up the construction of information technology, improving the level of logistics modernization, optimizing the talent environment, planting the advantages of scientific research talents, promoting the development of high quality economy and promoting the upgrading of logistics consumption.
The Technological Theory and Empirical Study on Private Enterprises Based On Elements Based On Data Analysis
Authors: Deng Xiaojuan , Xiao Gongwei
Published: April 2021

Technological innovation is a synthesis of various elements. Faced with actual challenges concerning technological innovation of private economy, along with the analysis of technological innovation elements, we have carried out empirical study on technological innovation and operated benefit data of 34 scaled private enterprises, validate that the input on researchers, fund investment, output efficiency are all at play when it comes to upgrading private economy. In doing so, we advance intension-oriented development, innovation on financing channels, and industry-University-research institute strategic cooperation.
Field Weed Community Identification Algorithm with Euler Number
Authors: Liu Jian , Hu Bo
Published: April 2021

Precision spraying of herbicides has always been an important development direction of modern agriculture. The weed identification is the foundation of the precision spraying. In order to identify weed communities in the field, a novel algorithm of weed identification is proposed with Euler number. First, the weed images in the field were converted into binary images by image segmentation, and then the Euler number was extracted from the binary images. Finally, the positive and negative Euler number was used to determine whether weed communities in the vegetation needed herbicide spraying. The experiment include 20 images which are 10 field images with herbicide spraying and 10 field images without herbicide spraying. The experimental results showed that the identification rate reached 85%. This indicates that Euler number is a more effective image feature to describe weed vegetation community, which will be helpful for the further study of precise herbicide spraying technology.
Construction Thought and Promotion Path of One-off Dialing Service of Transportation Service Supervision Telephone
Authors: Hu Tiejun , Wang Haiyang , Shang Jinping
Published: April 2021

As the transportation industry has the characteristics of multi-level, cross-regional, and cross-domain, and taking into account the public welfare attributes of service supervision telephones, the construction of 12328 telephones has a strong system, integrity, and coordination. It is necessary to use the ‘coordinate all the activities of the nation as in a chess game’ mentality, unified planning, unified deployment, unified standards, and unified promotion of 12328 telephone construction. The construction process must be led by the government and promoted throughout the country. Overall, the 12328 telephone construction promotion path is through the comprehensive integration of top-level designs in different dimensions, such as informatization, standardization, and institutionalization, in order to realize the national traffic and transportation service supervision telephone ‘12328’ one-off dialing service, the provincial and municipal data networking and sharing, and business and system collaboration.
Bibliometric Analysis of Research Literature on Ideological and Political Education by Curriculum based on SATI
Authors: Yu Liang , Chen Yuting , Wang Lianfang
Published: April 2021

The ideology and politics education by curriculum is a hot spot of the research and reform of higher education. Based on the core literature collected from the database of CNKI, this paper analyses the time distribution, journal sources, research institutions, research authors and keywords by SATI and other software. The data shows that the study of ideology and politics education by curriculum is relatively focused on three aspects: connotation and value orientation, conditions and basic requirements, exploration and practice. In addition, there are some problems in this study, such as the core area is not obvious, the imbalance is prominent, and the level is unbalanced.
Construction of Ideological Education Evaluation System for College Students -- Based on BP Neural Network Model Algorithm
Authors: Liu Guangxin
Published: April 2021

Because of the characteristics of Ideological Education, it cannot be expressed accurately by simple mathematical analysis like other disciplines. The emergence of artificial neural network can solve this problem, but there are not many researches about BPNN (BP neural network) in the evaluation system of Ideological Education in Colleges and universities. Therefore, this paper puts forward the construction of Ideological Education evaluation system for college students --- Based on BPNN model algorithm research. In this paper, the existing Ideological Education in Colleges and universities and the application of BPNN in the evaluation system of Ideological Education are deeply studied. It is considered that the existing evaluation system of Ideological Education has some technical problems such as large evaluation error. In view of this, according to the actual needs of Ideological Education evaluation in Colleges and universities, combined with the latest BPNN technology, this paper establishes a new evaluation system of Ideological Education in Colleges and Universities Based on BPNN. This paper optimizes the traditional BPNN algorithm, simplifies the calculation steps and improves the calculation accuracy of the model. In order to further verify the actual effect of the evaluation model in this paper, the relevant comparative experiments are carried out, and the simulation results are analyzed by comparing with the expert evaluation. The experimental results show that the error value of the simulation results of the evaluation model in this paper is kept below 1.5%, and the accurate value is within the acceptable range, which can meet most of the current Ideological Education evaluation needs.
Problems Existing in the Network Practice Teaching of University Ideological and Political Theory Course in the Context of Internet
Authors: Gao Jiguo , Liu Huan
Published: April 2021

In the context of the deep integration of Internet technology and teaching, the Internet has been increasingly applied in practice teaching. At present, although the national policy supports the network practice teaching of ideological and political theory courses in colleges and universities, it is still in the exploratory stage in terms of practical operation, and some problems in its operation process deserve to be paid attention to, followed up and deeply analyzed.
Research and Analysis on Cloud Accounting of Enterprises under the Background of New Economy
Authors: Ou Liping , Zhang Zhixin
Published: April 2021

With the in-depth development and popularization of the Internet, all kinds of economic formats have undergone giant changes, information flow and transmission become smoother and faster, the Internet configuration transaction mode is born, which plays a huge role in promoting the development of accounting cloud. At present, China’s accounting cloud-based technology is still in its infancy, and Internet cloud computing also has many disadvantages and its development path is very bumpy. However, this does not affect our exploration of accounting cloud-based development. At present, the application of cloud accounting is more suitable for small and medium-sized enterprises, and the future development has a broad market prospect. By analyzing the correlation between cloud-based accounting and traditional accounting financial processing, this paper obtains the advantages of cloud-based accounting and its potential for future development.
Excessive Cash Holding of Jiuguijiu Enterprise from the Perspective of Agency Theory
Authors: Zhang Zhixin , Ou Liping
Published: April 2021

The cash level of 300 Constituent companies in 2019 is about 13.73%, while that of the liquor industry in the same period is 34.27%. From the perspective of agency theory, this paper studies the phenomenon of excess cash holding in liquor industry, selects Jiuguijiu liquor as a case of the study, analyzes the phenomenon of excess cash holding in alcoholic liquor issuance, and puts forward corresponding reasonable Suggestions.
Analysis of TCM Diagnosis and Treatment of Thyroid Diseases Based on Data Mining
Authors: She Kankan , Dai Caiyan
Published: April 2021

Thyroid disease is the most common and frequently occurring endocrine disease. In recent years, the incidence rate of thyroid diseases has increased in recent years due to the gradual change of the ecological environment and the gradual popularization of iodine supplements for iodine deficiency disorders. At present, the prevalence of hyperthyroidism is 1.3%, hypothyroidism is 6.5%, thyroid nodules are 18.6%, and 2%-5% of thyroid nodules are thyroid cancer. Thyroid disease has become a high incidence and common disease in modern society. The number of thyroid disease patients in China has become the second largest disease after hypertension. Thyroid disease belongs to gall disease of traditional Chinese medicine. Compared with western medicine, traditional Chinese medicine has certain advantages in the treatment of gall disease. Compared with western medicine, traditional Chinese medicine can better improve clinical symptoms and reduce toxicity.

In this paper, Stata and python were used to analyze and clean the data of TCM diagnosis thyroid medical records. Principal component analysis and factor analysis were used to analyze and clean the symptoms and pathogenesis of the medical record data. The data in the prescription were quantified. The feature selection of the data set was performed by principal component analysis to reduce the data dimension. In the process of treatment, different kinds of prescriptions will be used. Association analysis algorithm in data mining is used to mine the association rules of prescription medication and complications of thyroid disease, which provides a reference for clinical treatment drug selection and disease prevention of traditional Chinese medicine. Logistic regression was used to establish the prediction model of traditional Chinese medicine diagnosis prescription of thyroid by using the clinical data of traditional Chinese medicine.
Application of Deep Learning in Photovoltaic Array Fault Identification
Authors: Han Yuchen , Yao Xiaodong
Published: April 2021

If a photovoltaic power station needs to operate normally, it cannot do without the blessing of the photovoltaic array, which also takes up about half of the cost of the photovoltaic system. The failure and low efficiency of photovoltaic power plants are the main two reasons for the loss of energy. Among them, the failure of photovoltaic arrays is undoubtedly one of the important reasons. In this article, the author uses the superiority of deep neural network in fault identification technology to complete the fault identification model of photovoltaic array.
Research and Application of Application System Architecture Based on Big Data
Authors: Li Hongyu , Gao Ling , Yang Xiaojun
Published: April 2021

With the advent of the era of big data, traditional application systems have been unable to meet the actual needs of the development of various industries. Building an application system architecture based on big data has become a top priority for many enterprises and organizations. In this context, based on the previous research, this paper proposes an application system architecture model based on big data and based on the application system design principle. The model is divided into data source layer, data storage layer, data acquisition and processing layer, data analysis layer, and data application layer. After a detailed description of the functions and characteristics of each layer, an application example is given for further analysis, hoping to provide some reference for each industry in building a big data application system architecture.
Algorithm Design of Translation Accuracy Correction for English Translation Softwares
Authors: Qu Weiwei
Published: April 2021

With the development of economic globalization, English is needed in more and more different cases in people’s daily life, and so is English translation. Traditional English software translation mainly depends on machine, which on the one hand facilitates people’s life, while on the other hand it also has some disadvantages. For example, translation errors are characterized by iterative transmission, weak logic and low accuracy. Traditional machine translation has been unable to meet people’s demand for both speed and quality, so it can no longer meet people’s needs. Therefore, this paper puts forward the design of translation accuracy correction algorithm for English translation softwares. First of all, an in-depth research on the traditional English translation methods, such as lexical semantic translation and phrase translation, are conducted with the method of documentation. Then, a dependency tree to string model and log linear model are established. Finally, the BLEU value and NIST value of the three translation softwares as well as the translation accuracy before and after algorithm correction is compared and analyzed. The conclusion shows that the highest accuracy of English translation before correction is only 75.6%, while the lowest accuracy is as high as 98.7% after the algorithm is adopted in this paper. The difference of accuracy between the two shows that the effectiveness of the correction system in this paper makes an outstanding contribution.
Application of Computer Information Processing Technology in Teaching Management Information System of Colleges and Universities
Authors: Zhang Ying
Published: April 2021

Human beings have entered a new era — information age, with the rapid development of information technology with network communication technology and multimedia technology as the core, which has caused various profound changes in many fields and accelerated the progress of human beings to the information society. At the same time, with the acceleration of the pace of global economic integration, the level of informatization has become an important symbol to measure the international competitiveness, modernization, comprehensive national strength and economic growth ability of a country and a region. The demand of social development for informatization is becoming more and more intense, and the development of informatization has received unprecedented attention in all countries of the world. As the front position of educational informatization, the process of higher education informatization has had an unprecedented impact on college teaching. Campus, classroom, library and other traditional teaching environment and space-time concept has been adopted and quietly changed. Statistics from the Science and Technology Development Center of the Ministry of Education show that some schools in colleges and universities have built their own campus network, and other schools are under construction, and 98.4% of the colleges and universities with campus network have realized office automation and scientific research networking.
Product Appearance Design and Concept Innovation Based on Neural Network
Authors: Liu Beili
Published: April 2021

Design, in essence, is a process in which designers use their own design language to explicitly express the needs of users. It is the collision and coupling of design knowledge and user knowledge. Therefore, the study of design knowledge and the realization of knowledge-based COMPUTER-aided design is of positive significance for improving design quality and efficiency. This paper mainly studies the product appearance design and concept innovation based on neural network. In this paper, the comprehensive application of BP neural network and genetic algorithm in the optimization of product appearance modeling scheme to meet the needs of users is studied. Through MATLAB, a BPN model was built to realize the mapping relationship between the product appearance modeling knowledge and the overall image, and the optimized objective function was obtained by combining the image of user demand, thus improving the usability and reliability of product appearance design.
Risk Management of Community Sports Based on AI Technology
Authors: Zhou Wenyong , Huang Qiong
Published: April 2021

With the progress of the times, China’s economy, politics and culture are developing rapidly. Today’s sports life is rich and colorful. People gradually realize that sports activities play a positive role in people’s health. Therefore, with the development of mass sports healthy lifestyle and AI technology, sports community risk management has become increasingly important. The purpose of this paper is to study the risk management of sports community based on AI technology. This paper uses the related technologies of emergency virtual scene construction, including three-dimensional terrain visualization technology based on terra Vista and global mapper software, and static object simulation modeling technology based on creator software. This paper puts forward the method of list sort, risk matrix, Pareto analysis and mathematical statistics. This paper discusses and deeply analyzes the related concepts of risk management in sports community and puts forward solutions. Finally, it adopts a variety of forms of expression, and presents its trend chart intuitively to users. The experimental study shows that human and site factors account for about 20% of the risk factors, and social factors account for the least, accounting for 6.56%. The severity index of self action completion and management efficiency reached 4.62 and 4.84 respectively. The maximum probability index of the impact of management efficiency on the occurrence of accidents reached 4.57.
Problems and Development Strategies for Art Education in Kindergarten in the New Media Era
Authors: Yang Wudai , Chen Mei
Published: April 2021

The effective combination of education and information technology has developed into a new educational trend, which has also made it a field that has attracted much attention from the education community and is worthy of research. This research uses questionnaire surveys to collect information, analyzes the status quo of art education in kindergartens in the new media era and the current problems in art education, proposes development strategies for art education in kindergartens in the era of new media, further improves the effective integration of new media and traditional art education classes in kindergartens, and promotes the development of kindergarten education.
A Brief Review of Machine Learning Algorithms for Cooperative Spectrum Sensing
Authors: Wang Jingting , Liu Bao
Published: April 2021

With the development of wireless communication services, spectrum resources become more and more scarce. Cognitive radio technology is widely considered as a feasible solution to the problem of spectrum sharing. The introduction of machine learning has greatly promoted the cooperative spectrum sensing of cognitive radio. In particular, this paper brief reviews the cooperative schemes in three machine learning algorithms, including support vector machine, Convolutional Neural Network, and deep reinforcement learning. It is worth summarizing and discussing these machine learning cooperative spectrum sensing algorithms.
Research on Multi-Dimensional Practical Teaching System of Art Design Major in Ming and Qing Dynasty Furniture Design Based on Sample Data Analysis
Authors: Liu Jing
Published: April 2021

Aiming at the problems of weak course and poor teaching effect of furniture design major in Ming and Qing Dynasties, this paper puts forward the idea of constructing multiple practical teaching mode, and reforms the teaching of furniture design specialty in Ming and Qing Dynasties from the implementation of diversified talent training scheme, reform of teaching mode and construction of practical teaching system. This paper analyzes the current situation of Ming and Qing furniture design of art design major, and puts forward the multi-dimensional practice teaching system of art design major in Ming and Qing Dynasty furniture design. In this paper, 260 students of art design major in furniture design were selected as survey samples, and the satisfaction, pertinence and acceptance of multidimensional practice teaching in recent three years were compared and analyzed, and the results were discussed and analyzed. The research on the implementation method of multidimensional practice teaching in furniture design of Art Design Specialty was put forward, which provided a reference for the development of furniture design of art design specialty Security. The research of this paper has important practical significance for the further development of the two.
Implementation of an inexpensive cathodoluminescence and electron beam induced current image generator coupled to a scanning electron microscope
Authors: Benítez-Lara A. , Cisneros H. , Bautista E. , Molina J. , Morales F. , Morales-Narváez E. , Carrillo-López J. , Desirena H. , Lopez O.
Published: April 2021

In this work, implementation of a novelty cathodoluminescence and electron beam induced current image generator system for do in situ experiments in a scanning electron microscopy (SEM) is presented. The equipment is composed by one mechatronic system (MS) with interchangeable probes and digitalization system programed with Labview. Porous silicon and Eu2(WO4)3 microparticles were characterized in cathodoluminescense mode with luminescence peaks centered at 410 and 613 nm, respectively. For CL imaging, the emission signal is collected through a probe of nine optical fibers and transduced to an electrical signal via a photomultiplier tube (PMT). In other way, the configuration in EBIC mode was tested with commercial silicon monocrystalline solar cell to determine internal defects using a current mapping. However for EBIC imaging, the current is collected by two electrodes connected to a picoammeter synchronized with the electron beam. CL and EBIC images are compared with SE images and chemical elemental mapping images to correlate the emission and defects regions of the sample.
A review of linkage mechanisms in animal joints and related bioinspired designs
Authors: Burgess Stuart
Published: April 2021

This paper presents a review of biological mechanical linkage mechanisms. One purpose is to identify the range of kinematic functions that they are able to perform. A second purpose is to review progress in bioinspired designs. Ten different linkage mechanisms are presented. They are chosen because they cover a wide range of functionality and because they have potential for bioinspired design. Linkage mechanisms enable animal joints to perform highly sophisticated and optimised motions. A key function of animal linkage mechanisms is the optimisation of actuator location and mechanical advantage. This is crucially important for animals where space is highly constrained. Many of the design features used by engineers in linkage mechanisms are seen in nature, such as short coupler links, extended bars, elastic energy storage and latch mechanisms. However, animal joints contain some features rarely seen in engineering such as integrated cam and linkage mechanisms, nonplanar four-bar mechanisms, resonant hinges and highly redundant actuators. The extreme performance of animal joints together with the unusual design features makes them an important area of investigation for bioinspired designs. Whilst there has been significant progress in bioinspiration, there is the potential for more, especially in robotics where compactness is a key design driver.
Indian Ocean warming as a potential trigger for super phytoplankton blooms in the eastern equatorial Pacific from El Niño to La Niña transitions
Authors: Tian Feng , Zhang Rong-Hua , Wang Xiujun
Published: April 2021

During El Niño to La Niña transitions in 1998 and 2010, satellite observations revealed a sharp increase in surface chlorophyll in the eastern equatorial Pacific (EEP), exceeding the interannual amplitude by threefold; however, the causes of such super phytoplankton blooms (SPBs) remain unclear. Here, observational data, climate model simulations, and coupled ocean-biogeochemical modeling experiments are adopted to show that Indian Ocean (IO) warming plays an active role in remotely triggering SPBs in the EEP. During the previous boreal winter in an El Niño year, IO warming generates anomalous easterlies over the western edge of the tropical Pacific, which excite upwelling Kelvin waves propagating into the EEP during the following boreal spring, remotely causing an uplift of the nutricline in the EEP. Seasonally, the mixed layer deepens and the upper ocean warms during the following late spring, and large amounts of nutrient-rich cold subsurface waters entrain into the mixed layer; interannually, the local grazing pressure is low after the peak of El Niño. These remote and local factors jointly promote SPBs in the EEP.
Stable and unstable Dp-branes in p-brane Newton–Cartan background
Authors: Klusoň Josef
Published: April 2021

We formulate Dp-brane Newton–Cartan (NC) background through the limiting procedure from relativistic Dirac–Born–Infeld action and Wess–Zumino term. We also determine action for unstable D(p + 1)-brane in Dp-brane NC background and study its properties.
3D–3D correspondence from Seifert fibering operators
Authors: Fan Yale
Published: April 2021

Using recently developed Seifert fibering operators for 3D

N
=
2

gauge theories, we formulate the necessary ingredients for a state-integral model of the topological quantum field theory dual to a given Seifert manifold under the 3D–3D correspondence, focusing on the case of Seifert homology spheres with positive orbifold Euler characteristic. We further exhibit a set of difference operators that annihilate the wavefunctions of this TQFT on hyperbolic three-manifolds, generalizing similar constructions for lens space partition functions and holomorphic blocks. These properties offer intriguing clues as to the structure of the underlying TQFT.