bluuebunny/crossref_metadata_2025 huggingface dataset:
Near-field magneto-photoluminescence of GaAs/AlGaAs/InP/GaInP2 quantum well-quantum dot structures
Authors: Afanasev K M , Vlasov A S , Lebedev D V , Rakhlin M V , Galimov A I , Toropov A A , Bert N , Nevedomskiy V N , Mintairov S A , Kalyuzhnyy N A , Saly R A , Mintairov A M
Published: April 2021

This work presents the results of the growth, structural characterization and magneto-photoluminescence spectroscopy measurements of GaAs/AlGaAs/InP/GaInP2 quantum well-quantum dot structures. We demonstrate that GaAs/AlGaAs QDs in these structures are formed above InP/GaInP2 QDs. This allows us to measure the internal magnetic field in the InP/GaInP2 QD by monitoring the Zeeman splitting of the excitonic transition in the GaAs/AlGaAs QD.
Effects of dissipative electron tunneling manifested in the photocurrent of a GaAs p-i-n photodiode with a double InAs quantum dot layer
Authors: Krevchik V D , Semenov M B , Shorokhov A V , Filatov D O , Baidus N V , Marychev M O , Shkurinov A P , Timoshenko V Yu , Krevchik P V , Zhurina A E , Saburova D A , Antonov I S , Semenov I M
Published: April 2021

We report on the results of experimental studies of the photocurrent (PC) of photodiodes based on GaAs p-i-n structures with InAs/GaAs(001) double asymmetric quantum dot (DAQD) arrays obtained by self-assembling in the process of low-pressure metal-organic vapor phase epitaxy (LP-MOVPE). Three peaks were observed in the dependence of the PC on the reverse bias, measured under photoexcitation with a photon energy equal to the energy of the interband ground state transition in larger InAs QDs. These peaks were attributed to photoexcitation of electrons from the ground hole states in larger QDs into the ground electron states followed by resonant dissipative (with absorption or emission of optical phonons) and conservative tunneling into the GaAs conduction band via the ground electron states in smaller QDs. The PC dependence on the bias voltage agrees qualitatively with the theoretical field dependence of the probability of 1D dissipative tunneling between the QDs.
Long-wave infrared InAs0.6Sb0.4 photodiodes grown onto n-InAs substrates
Authors: Klimov A A , Kunkov R E , Lavrov A A , Lebedeva N M , Lukhmyrina T C , Matveev B A , Remennyi M A
Published: April 2021

The results of a study of multilayer photodiodes based on InAs1-

x
Sb
x
solid solutions (0.3 < x <0.4), with a long-wavelength cut-off of λ

0.1
≈ 11 μm at room temperature are presented. The current-voltage and spectral characteristics of photosensitivity and electroluminescence were analyzed in the temperature range of 80 ÷ 300 K. Experimental samples of photodetectors are characterized by a quantum efficiency of 0.23 at 150 K and a diffusion mechanism of current flow at least in the 200-300 K range. The detectivity of the immersion lens PD at the maximum has values of at least D*8 µm = 8·108 and D*
5.5 µm = 1010 cm·Hz1/2W-1 at 300 and 150 K, respectively.
A comprehensive study of impulse pumping of Ti:Sapphire by AlInGaN LEDs
Authors: Ivanov A E , Aladov A V , Chernyakov A E , Talnishnikh N A , Zakgeim A L
Published: April 2021

LEDs operating under high pulsed current density, which excludes self-heating, are of great interest for different applications, in particular, for pumping lasers with a short time of activator relaxation, such as Ti:Sapphire. The current dependences of the efficiency emission spectra as well as the rise and fall times of high-power blue and green LEDs were investigated under extremely high pulse current density up to 7 kA/cm2 and a pulse duration of 100 ns to 3 μs. An analysis of the pulse behaviour of the LEDs reveals that the main droop in efficiency and a change in the spectrum occur up to the current densities ∼ 1 kA/cm2 and seem to be non-thermal. The energy and spectral pulse characteristics of the radiation were studied with simultaneous recording the excited Ti:Sapphire photoluminescence in order to determine the optimal pumping conditions.
Electro- and magnetotransport properties of a WTe2 single crystal
Authors: Domozhirova A N , Naumov S V , Podgornykh S M , Marchenkova E B , Chistyakov V V , Semiannikova A A , Huang J C A , Marchenkov V V
Published: April 2021

A single crystal of a topological Weyl semimetal WTe2 was grown and its electrical resistivity and galvanomagnetic properties (magnetoresistivity and the Hall effect) were investigated in detail in the temperature range from 1.8 K to 300 K and in magnetic fields of up to 9 T.
Human Resource Management Mode Based on Big Data
Authors: Wang Zhou
Published: April 2021

With the rapid development of Big Data(BD), more and more scholars of human resource management pay attention to its huge business opportunities and information value, so they begin to study and explore the innovation and reform of the company’s human resource management mode, in order to break through the difficulties in the traditional human resource management mode. In the process of motivating knowledge-based staff in Colleges and universities, university managers are based on BD platform to provide support for improving the competitiveness of the University, promoting the overall development and long-term progress of the University, and realizing the modernization of management. Based on this background, this paper analyzes the reform of BD into enterprise human resource management mode Sever database as an example, by calculating the efficiency of two kinds of human resource management and investigating the satisfaction of the company’s employees, this paper shows the role of two kinds of human resource management modes for enterprises and employees with practical data, reflects the advantages of human resource management mode based on BD platform, and discusses the specific reform and application of BD in human resource management mode.
Chinese and Western Art History Based on Big Data
Authors: Wang Jing
Published: April 2021

After entering the era of big data, artificial intelligence has developed rapidly, and the contradiction between technology and humanities has become increasingly prominent. World culture, technology, and art are all facing new conflicts and challenges. This article mainly studies the development and experience of Chinese and Western art history based on big data. This experiment uses an ordinary computer to build a Spark cluster environment by setting up 6 virtual hosts. Chinese artists are always more inclined to subjective creation, while the traditional Western realistic painting in the Renaissance period paid more attention to the three-dimensional painting color while achieving the harmony of the picture. Then sample the fingerprint at the reference point of the sparse density distribution to cluster the indoor area into a specific number of sub-regions, and use the sampling data of each sub-region to predict the fingerprints at other unmeasured reference points to reconstruct the complete Fingerprint database. The data shows that in the experimental cluster environment, when the processing data size is 50MB or far greater than 50MB, choosing parallel algorithms can save data processing time and improve data processing efficiency. The results show that both Chinese painting and Western modernist painting pursue the spontaneity, randomness and contingency of painting in terms of aesthetic effects. This is the common ground of the pursuit of expressiveness in Chinese and Western paintings.
Aesthetic Differences Between Chinese and Western Cultures Based on Big Data Analysis
Authors: Zhang Qi
Published: April 2021

With the development of the times, the gradual integration of Chinese and foreign civilizations and the continuous expansion of people’s living circles, the aesthetic consciousness of the interior space design of Chinese and Western residential buildings is also changing. The purpose of this article is to analyze the aesthetic differences between Chinese and Western cultures based on big data, analyze the clustering algorithms for aesthetic differences between Chinese and Western cultures, and conclude that different clustering algorithms have their own blind spots and misunderstandings for different data calculation processes. Aiming at the spatial distribution characteristics of aesthetic difference data between Chinese and Western cultures, an improved spectral clustering algorithm is proposed to better solve the problem of clustering and mining of aesthetic difference data between Chinese and Western cultures. The experimental results show that the fast clustering algorithm suitable for the aesthetic difference data sets of Chinese and Western cultures, the improved algorithm reduces the time of the traditional spectral clustering algorithm by 2%.
RETRACTED: Oil Painting Material Collection System Based on Artificial Intelligence
Authors: Peng Jianzhong
Published: April 2021

In recent years, with the rapid development of computer technology and artificial intelligence technology, the traditional oil painting creation field has also had a lot of influence. The most typical way to collect and manage materials in the future is to collect and manage materials through the Internet. Therefore, this paper puts forward the research of oil painting material collection system based on artificial intelligence. In this paper, the artificial intelligence technology and oil painting material collection work are deeply studied. The analysis shows that the traditional oil painting material collection work has obvious problems such as low efficiency, high cost and low accuracy. And through artificial intelligence technology, we can better solve these problems. According to the characteristics of oil painting material collection, combined with the latest artificial intelligence information collection technology, this paper establishes an intelligent system suitable for oil painting material collection. In order to further verify the actual effect of the collection system in this paper, the corresponding comparative experiments are established. The experimental data show that the highest accuracy rate of the artificial intelligence material collection system in this paper is as high as 99.6%, which is significantly improved compared with the 87.6% accuracy rate of the traditional artificial material collection method. Moreover, while ensuring the accuracy rate, the number of collected materials has been greatly improved. Analysis shows that this system effectively improves the efficiency of oil painting material collection.
RETRACTED: Jilin Province’s All-for-one Tourism Based on Artificial Intelligence and Synergy Theory
Authors: Li Jun
Published: April 2021

In modern society, the all-for-one economy is booming, and the economic level of the general public is also improving. After people have met their material needs, their spiritual needs are constantly increasing. Therefore, the tourism industry has achieved good development. As one of the important branches of system science, synergy theory is a discipline that studies the mechanism and law of orderly structure formed by open systems through the synergy between internal subsystems. It is the theoretical basis for constructing various systems and a method to solve complex system problems. Introducing synergy theory into all-for-one tourism research and studying all-for-one tourism development issues from a systematic point of view is of practical significance for solving various comprehensive and complex issues that have always occurred in the development of tourism. As the current hotspot of high-tech and new technology development, artificial intelligence technology has gradually been widely used in all aspects of social production and life, especially for the development and promotion of all-for-one tourism. Therefore, in the development of the global domain, increasing the application of artificial intelligence technology also has positive practical significance. Artificial intelligence technology can promote the development of all-for-one tourism to improve quality and efficiency, and bring tourists a brand new travel experience. This article discusses the application of artificial intelligence and synergy theory in the all-for-one tourism of Jilin Province, and explores a scientific, effective and sustainable tourism model. The experimental results show that all-for-one tourism with the introduction of artificial intelligence and synergy theory is more in line with the current pace of life and living habits of young people, which is bound to be positive and beneficial to promote the development of all-for-one tourism in Jilin Province.
Research on Image Deblurring Processing Technology Based on Genetic Algorithm
Authors: Xi Erhui , Zhang Jiali
Published: April 2021

Image deblurring, which is an important branch of digital image processing, is one of the difficulties in digital image processing. The main goal of image deblurring is to improve the quality of the given image, and to reconstruct or restore the original image using the relevant prior knowledge. Genetic algorithm (GA) is a global optimization search algorithm, which can quickly and effectively calculate complex multidimensional data area and indirectly. Now,genetic algorithm is slowly showing its excellent performance in the field of image processing. Therefore, based on the fuzzy features of the image, this paper uses the image enhancement algorithm to realize the image deblurring by capturing the gray value of the pixels in the image, and the improved genetic algorithm is used to better select the image threshold. The experimental results show that the new algorithm obtains higher definition than the traditional image deblurring method, and the improved genetic operator algorithm improves the degree of noise reduction.
The Design and Implementation of a Noise Reduction System for a Microcomputer Cooling Fan
Authors: Gong Jianhu
Published: April 2021

In view of the noise caused by the CPU inside the mainframe box, and the cooling fan of power unit, this paper comes up with a noise reduction device, comprising a polyurethane sound-insulating cotton layer, a wood-wool sound-absorbing board, a temperature detector and a cooling fan, etc. and illustrates its implementation method.
RETRACTED: Research on the Reform of Ideological and Political Theory Courses in Colleges and Universities in the Big Data Era
Authors: Guan Yong
Published: April 2021

The continuous progress of information technology provides favourable conditions for colleges and universities to innovate teaching methods and develop new teaching systems. Colleges and universities are important places for the generation of network information, and many of the contents contained in these network information are of great value to the teaching of ideological and political courses and campus management in universities. How to collect college campus network information, analyse and manage this information, and find hot topics from it, has a profound impact on the reform of college ideological and political courses. Based on this, this article attempts to design a system program that can be used to analyse hot topics in colleges and universities, and introduces the design from several aspects such as design goals, demand analysis, functional architecture, and module design. It can provide a certain reference for college ideological and political courses.
Research on Unmanned Ship Control System Based on Fuzzy PID
Authors: Huo Huwei
Published: April 2021

Unmanned ship is one of the typical representatives of unmanned intelligent equipment on water, which has been highly concerned by scholars all over the world. Since unmanned ship is unmanned in the process of surface operation, it must have the corresponding autonomous intelligence, which requires the stability of its autonomous control to be studied. This paper presents a control system of unmanned ship based on Fuzzy PID. The anti-jamming control system of unmanned ship is built. According to the power demand of unmanned ship control system, the hardware circuit is designed and the software code is written. Then the simulation experiment of the interference model in complex environment is carried out. Under the regulation of the control system, the unmanned ship can meet the requirements of fast response and high reliability.
MRI Image Reconstruction Based on Artificial Intelligence
Authors: Liang NaNa
Published: April 2021

Artificial intelligence is a new high and new technology, which has powerful functional advantages in processing big data, complex and non-deterministic data, and in-depth mining of hidden information behind the data. Magnetic resonance is a common diagnosis and treatment technology in medical clinics. The use of magnetic resonance imaging technology to construct medical images has a great auxiliary effect for doctors to make accurate medical diagnosis. This article proposes to combine artificial intelligence and magnetic resonance technology to construct magnetic resonance images based on artificial intelligence, in order to reconstruct high-quality magnetic resonance images, thereby improving the efficiency of doctors’ diagnosis and treatment and reducing misdiagnosis. This paper uses the deep learning algorithm of artificial intelligence to compare the analytic dictionary method, the synthetic dictionary method and the deep dictionary method based on convolutional neural network, and obtain the peak-to-noise ratio of the image reconstructed by the three algorithms under the same sampling rate. They are 42.56, 44.17 and 45.55 respectively; the structural similarity is 0.9387, 0.9536 and 0.9867, respectively. The study concluded that the deep dictionary method based on convolutional neural network has more advantages in reconstructing MRI images, and the effect is more obvious.
Geological Disaster Early Warning Model Based on Big Data
Authors: Liu Pengcheng
Published: April 2021

As a country with high frequency of geological disasters, China still faces many problems in dealing with geological disasters and reducing economic losses. In recent years, with the deepening of the research on geological disaster early warning, as well as exchanges with various institutions and learning experience, we have made some achievements in how to carry out geological disaster early warning, which has become a major driving force for social development. Nowadays, people mostly deal with geological disasters with certain human intervention. This paper relies on the “big data analysis” and mathematical conventional statistical analysis in recent years, and carries out a series of experiments to establish the early warning model, and carry out corresponding analysis on the multiple attributes of the model, so as to explore the usability of the early warning model in the future geological disasters. In this paper, the corresponding exploration of geological disasters in recent years is carried out. Correlation analysis and statistical analysis are carried out in the aspects of year, disaster frequency, loss and early warning, and the prediction model is established. It is found that with the development of time, the occurrence times of geological disasters are uncertain, and people pay more attention to the early warning of geological disasters and face the loss caused by geological disasters It will decrease gradually.
RETRACTED: Research on Personalized Healthy Diet Recommendation Based on Artificial Intelligence
Authors: Tang Xiaoxuan
Published: April 2021

With the development of the Internet, China’s good data mining technology in e-commerce has achieved development, and the recommendation service has gradually become popular and has been adopted by the majority of citizens. In order to facilitate people to quickly find what they need from a large number of commodities and save consumers’ time, the recommendation system pays more and more attention to the user experience. This paper constructs a healthy diet recommendation model based on improved Apriori. When judging the user’s dietary preferences, the improved Apriori algorithm is used to recommend the diet. The original algorithm and the improved algorithm are compared to the same example. The results show that the improved algorithm has advantages in mining association rules and can better realize personalized healthy diet recommendations.
Enterprise Financial Shared Service Platform Based on Big Data
Authors: Xiong Lilan
Published: April 2021

With the advent of the era of big data, the market economy continues to develop in depth, and the social division of labor is becoming more and more refined. The financial sharing platform service center can realize the transformation of financial management functions from financial accounting to management accounting according to the strategic needs of enterprises. Prevent financial risks in a timely manner, provide strong endogenous vitality and back-up support for corporate management, and promote the development of corporate economies of scale. The purpose of this paper is to study the corporate financial shared service platform based on big data. This article compares and analyzes the difference between the traditional “financial management mode” and the “shared service mode”, and at the same time proposes the impact of information technology on the financial sharing platform services in the era of big data, and then conducts the construction process and operation management status of the company’s financial sharing platform service center Describe, analyze and discuss its implementation results, existing problems, opportunities and challenges at this stage, and propose measures to be improved in response to existing problems, and put forward suggestions for optimization of the company’s financial sharing center based on the background of the big data era. The company was selected as a case study to explore its motivations for implementing the financial sharing platform service, to explain its construction plan in detail, and to analyze the benefits from different aspects. Research shows that more than 80% of the company’s accounting business vouchers are automatically generated by the business-driven system. Compared with traditional accounting methods, both the timeliness and accuracy of accounting treatment have undergone a qualitative leap.
Innovative Research on German Education Teaching Mode in Colleges and Universities from the Perspective of BD
Authors: Yan Chengcheng
Published: April 2021

With the needs of economic development, many colleges and universities offer German courses. However, because German course has just started in domestic universities, its teaching method is more simply to apply the ordinary German teaching mode, without too much consideration of the characteristics of higher education, and its teaching effect is not satisfactory. Therefore, the purpose of this paper is to make innovative research on German teaching mode in colleges and universities from the perspective of big data(BD). Firstly, this paper discusses the current situation of German teaching mode construction and resources in Chinese universities, and summarizes the main problems existing in contemporary German teaching mode in Chinese universities. The new teaching mode of German in colleges and universities puts the feelings of college students in the main position, guides students to learn actively through behavior guidance, and pays more attention to students’ communicative competence. This teaching mode also utilizes the storage architecture of data warehouse, combined with BD and other related technologies, and realizes the storage and update of various German teaching resources, which meets the innovative needs of universities for German teaching mode. Finally, this treatise compares the innovative modes of teaching German in universities with traditional modes of teaching. Experimental results show that the innovative mode of teaching German in college is recognized and loved by students, and their love for German has increased by about 30%, which plays a significant role in improving students’ enthusiasm for learning German and provides an important reference for the innovative research of German teaching mode in colleges and universities.
The Design of the Network Remote Interactive Livestock and Poultry Feed Formula System
Authors: Zhang YingYing , Ji MeiNan , Zhang KaiZhe , Zhang Yuge
Published: April 2021

In response to the current scientific requirements for livestock and poultry feeding, combined with current network technology, a remote livestock and poultry feed formulation system is proposed. In this system, the requirements of the system are analyzed first, and then the overall system architecture is constructed according to the requirements. Based on the construction of the overall structure, the main feed formula of the system is optimized by algorithm. Finally, the result of feed formula optimization is given.
The Ways of College Mental Health Education Based on Big Data
Authors: Zhang Xiaoxiao , Jia Suning
Published: April 2021

The advent of the era of big data(BD) has imperceptibly changed our life, work and study. For CS, the era of BD has created a new social environment. Under the current situation, there are new opportunities and challenges for the development of college students(CS)’ mental health education(MHE). In the process of MHE, we should establish and apply BD guarantee mechanism for quantitative research. We should use BD to carry out MHE for CS, and explore new ways of CS’ Psychological Education under the background of BD era. As an important part of Ideological and political education, MHE in Colleges and Universities(CAU) has been widely concerned, especially the mental health problems of CS. The results show that 66.2% of the students and teachers are not satisfied with the MHE. It is necessary to reform and innovate the methods of health education. Based on the characteristics of BD era, we analyze the impact of BD era on CS’ MHE. This paper puts forward the strategy of CS’ MHE, in order to improve the effectiveness of psychological education, and then through the innovation and reform of school MHE methods, better adapt to the development of education informatization.
International Trade Barriers and Countermeasures of Chinese Medicinal Materials Based on Big Data
Authors: Yang Jurong , Zhao Yonghong , Wan Lili , Chen Hua
Published: April 2021

With the development of global big data and trade liberalization, tariff barriers are gradually weakened, while technical trade barriers, mainly in the form of technical regulations, standards, and conformity assessment procedures, are constantly strengthening. Affected by this, in recent years, my country’s traditional Chinese medicine industry has also suffered technical trade barriers from various countries, and the export of Chinese medicine has been seriously affected. In this regard, the purpose of this article is to study the international trade barriers and countermeasures of Chinese herbal medicines based on big data. This article first expounds the meaning of technical barriers to trade in traditional Chinese medicines, and classifies them according to the form and substance of technical barriers to trade in traditional Chinese medicines. The experimental results indicate that an anti-technical trade barrier service system for the Chinese medicine industry must be established as soon as possible. The industry association must give full play to its communication and coordination role, reduce the number of Chinese medicinal materials rejected by foreign countries to less than 31 batches, and provide suggestions for the government and enterprises. Innovative ability, establish the concept of quality management, and face the technical trade barriers of traditional Chinese medicine with a positive attitude.
Teaching Mode of Psychology and Pedagogy in Colleges and Universities Based on Artificial Intelligence Technology
Authors: Jia Suning , Zhang Xiaoxiao
Published: April 2021

At present, artificial intelligence(AI) technology has penetrated into all aspects of the education field, and the teaching system has been reformed. In the background of AI, deep learning, personalized learning and human-computer collaborative learning have gradually become the mainstream learning methods. The change of learning style directly promotes the transformation of curriculum and teaching paradigm. This paper analyzes the current situation of the use of AI technology in the teaching mode of psychology and Pedagogy in Colleges and universities, and puts forward the research on the teaching mode of psychology and Pedagogy in Colleges and Universities Based on AI technology. In this paper, 290 teachers and students were investigated and analyzed, and their recognition of AI technology reached more than 90%. This paper makes a comparative analysis on the satisfactory learning environment, learning methods and learning effect after the use of AI in psychology teaching, and discusses and analyzes the results. It also puts forward the use suggestions of AI in psychology teaching, which provides guarantee for the development of intelligent teaching system. The research in this paper is of great significance for the further integration and development of the two.
RETRACTED: Problems of Ideological and Political Education of College Students in the Era of Big Data
Authors: Gao Qiuli , Ai Liqin
Published: April 2021

The ever-changing rules and regulations, teaching systems and teaching methods of world education ensure great changes in the education system.In view of the practical problems existing in the construction of the rule of law culture in colleges and universities, it is necessary to realize the mufti-disciplinary, dimensional and multi-word collaborative innovation of integrating the rule of law culture into the ideological and political education of college students, break the original boundaries and constraints, truly achieve coordinated operation of departmental functions, integrated development of mufti-disciplines and effective participation of social resources, and comprehensively promote the new development of ideological and political education of college students. Under the guidance of collaborative innovation, we should grasp the concrete working logic in the practical construction, and make it clear that the construction of legal culture in colleges and universities is to adhere to the fundamental educational idea of “cultivating people by virtue”, integrate the concept of legal culture into ideological and political education, pursue the value orientation of legal culture, take socialist core values as the logical starting point, realize the main position of education from theoretical level to practical level, and make every effort to build a new pattern of ideological and political education for college students.The results show that: the number of students returning to the dormitory is the highest when the entrance guard is 20:50-21:10, and the lowest when the entrance guard is 17:50-18:20. The percentage of the students returning to the dormitory during the period of 13:40-13:55 is higher than that of the students in the period of 11:50-12:20.
Face Image Feature Extraction based on Deep Learning Algorithm
Authors: Kuang Qing
Published: April 2021

In recent years, due to the rapid development of computer technology, artificial intelligence technology in the computer field has begun to integrate into people’s life, and facial recognition, as a unique biometric recognition method, is the core of artificial intelligence technology. Based on this, this paper discusses the local feature extraction and global feature extraction based on the deep learning algorithm, and proposes a training classification method based on the deep learning model combined with local pattern and GLQP representation feature extraction algorithm. In this paper, the local quantization method is used to input the data set preprocessed by the filter into the network. The depth of CNN network is selected as 4 layers, and the network is trained to produce high-resolution features. Experiments show that the accuracy of the trained deep network model is 92.2% in the test set. Therefore, compared with the traditional methods, deep learning has the advantages of powerful visualization and automatic face feature extraction, overcomes the shortcomings of deep learning model in the process of shallow feature learning, and shows higher recognition efficiency and generalization.
Reflection on Teaching Research of English Applied Linguistics Based on Big Data
Authors: Tao Yuanyuan
Published: April 2021

The traditional English teaching is mainly dominated by the teacher and instilled in teaching. The students trained by this teaching mode have a low ability to acquire knowledge, and they often become dumb when they communicate with each other. With the continuous development of society, big data has been applied to all aspects of our life, constantly changing our existing education mode. Based on this, this paper establishes the teaching platform of English applied linguistics, and combines the teaching of English Applied Linguistics with big data in combination with the current teaching situation of English applied linguistics. In this paper, the students of grade 2020 are used as the control group, and the network teaching platform based on big data is used for teaching. The control group is the students of grade 2019, and the traditional teaching mode is used for teaching. More than 90% of the students’ oral ability can be improved by more than 90% of the students’ oral English in 2020.
The Design of Concrete Structure Durability Based on Genetic Algorithm is optimized
Authors: Shen Li , Yang Xueqing
Published: April 2021

In the construction of basic projects, there are still very serious problems, especially in the extremely harsh climate of construction, the durability of concrete will be affected by many uncontrollable factors. It not only increases the difficulty of engineering design, but also brings great challenges to the operation cycle of basic engineering. Therefore, the purpose of this paper is to optimize the design of concrete structure durability based on genetic algorithms. From the point of view of building safety, this paper focuses on the application of concrete in China’s architecture and the solution of defects. With concrete structure durability optimization as the specific research object, from the aspect of institutional durability, genetic algorithms are used for analysis and simulation. The experimental results show that concrete durability can be optimized by the method used in this paper, and it can be cured by about 20% compared with the previous method.
Optimal Design of Computer Network Security Performance Based on Genetic Algorithm
Authors: Chen Fengfeng
Published: April 2021

With the current implementation of my country’s reform and opening up, a large number of advanced concepts have been introduced for domestic science and technology, the purpose is to gradually optimize the security performance of domestic computer network (CN) systems. Network security cannot be guaranteed and the development process of CNs cannot be guaranteed. Therefore, people apply genetic algorithms to the innovation and development of CN security performance and obtain more optimization benefits. CN attack technology is diverse and concealed, which makes it difficult to be detected, seriously endangering CN security and accurately identifying network abnormalities. In order to overcome the shortcomings of traditional network security and the low detection accuracy of anomaly detection technology, a genetic algorithm-based support vector machine-based network security performance optimization method was developed. This article first reviews the research and development of CN security systems at home and abroad, summarizes the main problems currently facing the research field of CN security systems, and introduces the main performance optimization technologies, aiming at the current existing CNs The ubiquitous performance shortcomings and problems of security systems, based on the in-depth analysis of the characteristics of network attacks and intrusions, have carried out a more systematic study of the genetic algorithm theory. The experimental results show that the network anomaly detection accuracy of the least square support vector machine classifier based on genetic algorithm optimization is high and the effect is good, which provides a reliable guarantee for the optimization of network security performance.
An Energy Consumption Model of Electric Vehicle based on Neural Network
Authors: Li Guanfa
Published: April 2021

With global warming, energy crisis and air pollution in the city is increasing, energy saving and emission reduction situation facing traffic field is becoming more and more serious. Combined with the research results related to the establishment of energy consumption model of ideas, this paper determines the energy consumption of electric vehicle model by using the running data. At the same time, the acceleration will be divided into acceleration and deceleration and hook speed condition according to the running condition for the detailed description of the relationship between energy consumption rate and the electric vehicle speed and acceleration, and the energy consumption models are established. The energy consumption rate showed a rising trend with increasing acceleration at the same speed. From the overall analysis, the peak energy consumption rate in speed and acceleration are part of the larger, and energy consumption rate has remained low when the acceleration is less than or equal to zero parts.
RETRACTED: Design of College Physical Education Teaching System Based on Artificial Intelligence Technology
Authors: Wang Ming
Published: April 2021

In recent years, with the deepening reform of domestic education, the education mode of education mode is changing. The physical education teaching system based on artificial intelligence technology can not only improve the work efficiency of the management department, but also promote the construction of digital, information and intelligent School Park. In this paper, college physical education curriculum as the center, artificial intelligence technology as the research direction, put forward the introduction of artificial intelligence into physical education, through the construction of agent layer and data service layer to achieve personalized teaching. By comparing the results of the control group and the experimental group after the experiment, and through the investigation of the experimental group students, the system improved the students’ sports performance to a certain extent, the experimental group compared with the control group, the average score increased by 3%, improved the students’ interest in sports.
College English Assistant Teaching System Based on Artificial Intelligence
Authors: Wang Dapeng
Published: April 2021

With the development of information explosion and education reform, traditional education is facing great challenges. It is imperative to reform teaching methods and means. As a new teaching method, artificial intelligence technology has been widely used in college English teaching. The system receives information, processes it, and feeds back the results, that is, man-machine conversation. With the rapid development of network and multimedia technology, Teachers should combine network and multimedia technology to improve the diversity and interest of English teaching, so as to improve the quality of English teaching. This paper studies the present situation of English teaching at home and abroad, finds out the advantages and disadvantages of English teaching resources in China through literature retrieval, interview and questionnaire survey. Under the guidance of constructionist teaching theory, humanistic education theory and developmental evaluation theory, this paper analyzes the advantages and disadvantages of English teaching resources in China based on the development characteristics of contemporary college students and the contents of current college English courses. According to the teaching principle of “student-centered, process oriented, communication oriented, people-oriented”, this paper analyzes the advantages and disadvantages of domestic English teaching resources The results show that: from the perspective of the purpose of College English learning, to improve students’ comprehensive ability and quality, the proportion is the highest, accounting for 26%.
Big Data Processing Technology in Film and Television Post Production
Authors: Xu Qianqian
Published: April 2021

Nowadays, the wave of digitization, networking and informatization is sweeping the world, which makes the visual image become an important way of communication and transmission of global culture. The purpose of this paper is to analyze the application of big data processing technology in film and television post production. The distributed computing power of MapReduce is used to extract the content features of video images, construct corresponding indexes, and store and retrieve them in HBase database according to the indexes to form a big data processing platform for video images. This paper deeply discusses the framework related theory as the support of big data processing technology in film and television post production, analyzes the common algorithms in nonlinear editing system, discusses the mirror effect monorail and double track special effects in video special effects, and makes the realization effect of each kind of special effects in the space domain, and makes some special effects among them, The implementation of compressed domain is discussed. In this paper, through the application of experimental video big data processing technology to the film and television post production of various possibilities, and draw the following conclusions: in extreme cases, the stunt tree becomes a one-dimensional linear structure, using traditional parallel topology sorting, the device parallelism is 0, and using pipeline scheduling, because of breaking the sequence between frames, can play a relatively large parallelism.
Automatic Correction Service System for English Composition based on Big Data
Authors: Ou Guofang
Published: April 2021

With the rapid development of science and technology, big data is gradually being applied to the field of English writing teaching. On this basis, an automatic correction system is developed to automatically evaluate and feedback students’ compositions. This has become the future of feedback research and development Directions and trends. Writing is a cyclical creation process. The correction and feedback of composition is very important in writing teaching. However, in traditional teaching, due to the heavy workload of teachers, it is difficult to give feedback sentence by sentence, and there may also be inefficient feedback. In view of this, it is necessary to conduct an in-depth discussion on English composition based on automatic correction system, and on this basis, explore the automatic correction service system for English composition based on big data, so as to provide inspiration and reference for the evaluation of English writing teaching. The study found that the automatic correction service system came into being, which made up for the shortcomings of composition feedback in traditional teaching. Moreover, the automatic correction service system for English composition based on big data has many advantages compared with teacher correction, and it can accurately provide Students point out errors in writing, which can reduce teachers’ workload and improve teaching quality. In addition, this article also summarizes the shortcomings of the automatic correction service system and puts forward suggestions in order to better apply the automatic correction service system to English writing teaching.
The Strategy of Optimizing Quality Management on Supply Chain with Six Sigma Management Method in the Era of Big Data
Authors: Lv Dexin , Li Zhe
Published: April 2021

With the increasingly cutting-edge market competition, it is difficult to form long-term advantages for enterprises by solely relying on low cost. Middle and high-end quality customers prefer product quality in decisions for .purchasing. Enterprises can establish a good brand image, obtain high returns through the dependence on quality. Through quality management, enterprises obtain continuous improvement and economic benefits will be continuously increased. Six Sigma management is widely used in quality management in enterprises. It is a management method proposed by MOTOROLA, which can effectively improve work efficiency and product quality. Six Sigma management designs and supervises each production process and business process to achieve maximum customer satisfaction with minimum losses and improve corporate profits. This paper discusses the application strategy of Six Sigma management in enterprise supply chain quality management.
Research Progress of Decitabine in the Treatment of Drug Resistance to Myelodysplastic Syndrome Based on the Information of Literature Database
Authors: Li Yan , Deng Lijuan , Li Renpeng , Liu Bei
Published: April 2021

Objective: To summarize the progress of drug resistance in the treatment of myelodysplastic syndrome with Decitabine. Methods: To review the mechanism of action of DAC, the mechanism of action of DAC in the treatment of MDS resistance and the treatment options after drug resistance based on the reference to the relevant literature from domestic database. Results: As the demethylated drug, Decitabine (DAC) can reverse abnormal DNA methylation and thus prolonging the survival time of patients with MDS. However, some studies have found that not all patients can benefit from it, and even some patients may develop drug resistance. However, the mechanism of DAC resistance is not clearly discovered. After DAC failed to treat MDS, demethylated drugs can be replaced in the treatment of some patients. Conclusion: DAC has a significant effect on MDS, but the drug resistance rate is relatively high. The mechanism of drug resistance is still unclear, which is worthy of close attention of clinicians. In-depth study on the mechanism of drug resistance can better prolong the patient’s survival time and improve the patient’s quality of life.
Comparative Study on “Sentence Rewriting for Semantic Parsing” and “Graph-Based Translation Via Graph Segmentation”
Authors: Tian Ying
Published: April 2021

Machine translation is universally discussed by people worldwide nowadays along with the developments of computer science and artificial intelligence, however, sentence parsing and the translation errors between original language to target language are still difficult problems during the translation. This essay illustrates the main points of the two articles both of which concentrate on the methods to enhance the precision rate and accuracy of semantic parsing and translation, and makes a comparison between them. Even though these articles can increase the accuracy of translation, some of the backwards still exist and they are proposed to make the articles improved with their objectivity and precision.
Design and Acceleration of Humanoid Robot Controlled by Stm32
Authors: Ren Xinyi , Yang Jixiao , Li Yuanchen
Published: April 2021

With the development of the industrial internet, the comprehensive application of big data, the internet of things and artificial intelligence are becoming quietly extensive, and they connect physical things to the digital world tightly. Being smart and intelligent has become one of the most important directions of future social development. As an agent, robots will be widely utilized in every corner of society, and the robot era has come quietly.

This paper mainly studies how to let the robot walk according to the prescribed route as a person. Our innovation points are as follows: Firstly, compared with the traditional packaging robot, the steering gear of the legs is similar to that of normal people, and the hands, arms, and heads can also cooperate in the march, just like normal people. Tracking, individual turns, and special gestures can be achieved. Under the combined action of the threshold, CCD, sensor, and 12 steering gear, the robot can complete the patrol walk at a fast speed.