Table of contents

The first international conference on computer applied science and information technology (ICCASIT2020) will be held during May 15-17, 2020 in Dalian, China.

ICCASIT is an annual international conference, aims to provide the best platform for researchers and scholars worldwide to discuss recent developments in the area of Computer applied science and information technology. On behalf of the organizing committee, we cordially invite researchers, scientists, technicians, computer engineers, academicians and professionals as well as industrial professionals to participate in ICCASIT2020.

List of Chairman, Secretary general and Committee are availbale in this PDF.

All papers published in this volume of Journal of Physics: Conference Series have been peer reviewed through processes administered by the proceedings Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing.

Under the current computer network environment, the negative impact of Ideological and political work of college students is more significant. Through the analysis, this paper believes that by improving the personal ability and subjective initiative of Ideological and political work teachers in Colleges and universities, we can effectively prevent the negative impact of computer network on Ideological and political work in Colleges and universities, and make full use of computer technology combined with Internet tools to strengthen ideological and political work in Colleges and Universities.

With the development of computer technology, computer application technology has penetrated into various fields, but the employment situation of vocational graduates is severe, and the quality and quantity of student employment are poor. Relying on computer application technology, this paper first analyzes the employment status of higher vocational colleges, analyzes the problems and proposes corresponding solutions. Higher vocational colleges should make full use of computer application technology to reform the content and form of employment guidance to improve student's employment quality.

The proper protection and utilization of the intangible cultural heritage of ethnic groups is the key to inheriting and carrying forward the culture of all ethnic groups in China and improving the tourism quality in Heilongjiang Province. In this paper, the dilemma in protecting the intangible cultural heritage of Oroqen ethnic group is analyzed and considered based on introducing the basic situation of intangible cultural heritage of the Oroqen ethnic group in Heilongjiang Province. Some suggestions are further proposed for protecting the intangible cultural heritage of the Oroqen ethnic group.

Everyone fantasizes that they can have a beautiful appearance. Although appearance can't be changed easily, the matching of clothes can help us realize our dreams. At present, the integration of textile and clothing research with computer and information technology is an inevitable way to promote the intelligent textile and clothing industry. Looking at the research results of image recognition technology in recent years, we can find that the application potential of image recognition technology in textile and garment industry is huge. These applications include textile detection and body shape recognition. This paper discusses the main problems and the future development of image recognition technology.

With the popularization of computer animation techniques in the application fields, traditional cultural communication modes are gradually combined with modern computer animation techniques to develop new communication modes. As a cultural brand of the Chinese nation and treasure of Chinese martial arts, Tai Chi, is a precious cultural resource in our country. Through the analysis of computer animation techniques and traditional cultural communication modes, a communication mode for Tai Chi culture based on computer animation techniques is proposed, which plays a certain guiding role in the communication of Tai Chi culture.

The development of computers has revolutionized the way we work.At the same time with the development of China's economy, China's construction industry has entered a period of rapid development.In terms of the economic contribution rate of various industries, in China's economy, the development of the construction industry accounts for a large part of the output value, but it has brought huge economic benefits, but also caused a series of environmental problems and construction safety and quality problems, which have seriously affected people's quality of life and the safety of life and property.This paper USES the computer information data technology to carry on the strict evaluation and control to each part of the building structure.So that it can effectively avoid security and other issues..

This paper presents a coupled discrete-finite element method for the dynamic analysis of the transition zone between a ballasted and ballastless track with polyurethane reinforcement. The discrete element and finite element methods are employed to model the ballast bed and ballastless track slab based on computer aided technology, respectively. Ballast bond models are developed at the particles' contacts to simulate the polyurethane reinforcement of ballasts. A contact algorithm based on static equilibrium is proposed at the interface between the ballasted and ballastless section. To realize a gradual change in stiffness and differential settlement in the transition zone, a multi-level transition is set up from the ballasted to ballastless section by changing the bonding depth. The settlements of different points in the transition zone are obtained and compared. The effect of ballast polyurethane reinforcement is studied.

As one of the most widely used big data computing technologies, data cloud storage technology brings great convenience to users. However, while sharing data, it also causes data corruption and missing data integrity problems. Today's verification of the integrity of remote data is publicly performed by trusted third parties. This makes the verifier have the potential threat of providing false information. The resulting validation data is untrustworthy. In order to ensure the security and integrity of data, technicians need to establish a data authentication results detection algorithm. Moreover, this algorithm ensures the reliability and utilization of data by improving the limited verification results.

The goal of Tourism English is to fully promote and promote the rapid development of China's tourism industry, so that foreign tourists can understand China's cultural customs more deeply, appreciate scenic spots and promote the widespread spread of Chinese civilization in the world. Tourism English translation can give full play to the role of induction and information. Tourism materials can provide tourists with rich information. Translators must fully explore and discover the key points of interest of tourists. Therefore, they should fully guide tourists to understand our country's landscape and culture, so that tourists can more naturally enjoy the beauty of scenic spots. And the shock brought by cultural customs further enhance their desire to explore and continue to appreciate. Therefore, tourism translation must fully have the role of information guidance and cultural perception in order to further improve the tourist experience of tourists and bring them beautiful travel memories.

At present, there are many studies on "computer immunology" in the world, and there are many applications of immune genetic algorithm in engineering.The article discusses the immune genetic algorithm in the design of PID intelligent controller.Most objects in the practical industrial process fall in the distributed parameter system (DPS), where the proportional-integral-derivative (PID) control method is used to control the field. In this paper, the PID controller optimization method based on the immune genetic algorithm (IGA) (referred to as the PODM method) is applied to a class of distributed parameter objects to design the optimal controller, which is compared with several controllers based on the conventional tuning formulas. The simulation results suggest that the PID controller designed based on the PODM method can obtain relatively superior control effects in overshoot, tuning time, time integrated time absolute error (ITAE), and other indexes with relatively less control energy. The application of the PODM method to DPS can improve the control level of the PID controller in the industry at present.

With the deep integration of computer technology and public art, the digital characteristics of public art become more and more obvious^[1]. The digital public art takes the public environment of the city as the carrier, which occupies every corner of the city and develops steadily. The diversified performance media and all-round sensory experience make it an alternative public art with unique expressive force. At present, the manifestation of digital public art tends to be diversified, and its influence on urban culture is more and more profound and complex. Therefore, from the perspective of Media Ecology, this paper explores the characteristics of public art in the computer age. On this basis, this paper analyses the impact of public art integrated with computer technology on urban culture, which provides a new thinking direction for the harmonious development of public art and urban culture.

The concept of public art was first proposed by American scholars. Compared with other forms of art, the form of public art appears later. It has a very distinctive artistic nature and artistic beauty. With the application of public art more and more widely, it has attracted many people's attention and love. Computer Graphics Technology is also a popular in recent years a new form of artistic expression. Some artists have proposed a combination of public art and computer-based digital image technology. The technique is unique. In this paper, the details of the study and explore the computer-based digital image of the public art forms of expression, and finally come to a corresponding conclusion.

According to the previous research and relevant work experience, the working efficiency of oilfield development is gradually reduced with the production time and it is difficult to guarantee the production results in the late stage of oilfield development. At this time, through the use of computer three-dimensional geological modeling technology, the detailed geological study of the oil field will be easier to accurately grasp the distribution of oil field resources, improve the work efficiency in the later stage of oil field development. This paper mainly studies the meaning, concept and the specific method of using 3d geological modeling technology of fine geology research in the late stage of oilfield development, hoping that the reading of this paper can provide some help and inspiration to the researchers in the field of oilfield development.

Traditional ceramic tea set enterprises old tea set design, single shape.Early research scholars have not established a systematic design method and process of ceramic tea set shape image.These factors have affected the healthy development of the ceramic tea set industry.With the arrival of the perceptual consumption era, the shape and image conveyed by the appearance of the ceramic tea set directly affects the user's perception of the ceramic tea set and becomes the key factor for people to buy the ceramic tea set.Based on computer 3D fractal model, this paper proposes and discusses the initial expression of the topological structure of plum blossom ceramic graphics based on fractal iteration and region iteration segmentation, and the iteration of the structure.Finally, the research results of this paper are applied to the making process of plum blossom ceramic pattern..

The era of 5G comes quietly, along with the improvement of network operation speed, it also promotes the transformation and development of agriculture, which conforms to the development status of China's 5G technology and the objective law of agricultural development. Under the guidance of technology and concept, 5G is used to promote agricultural modernization.5G technology will definitely build a new generation of high-speed, instantaneous and secure intelligent information infrastructure in an all-round way, which also means that the information transmission network built by 5G technology will have a comprehensive and profound impact on all aspects of social life.Starting from the current agricultural situation, policy support and development prospect, this paper analyzes the factors restricting China's agricultural development, and puts forward a series of technology-related studies by using the advanced and scientific nature of 5G technology.Results indicate that young people use the Internet accounted for the biggest is as high as 43.58%, young people can drive in the network platform to promote sales of agricultural products, helping new agricultural development pattern, in order to obtain the professional knowledge of agriculture, 31.47% of farmers are willing to use 5G technology, contribute to the intelligent agricultural technology update and the popularity of e-commerce of agricultural products, it also promoted the agricultural reform and transformation.

With the development of oil exploitation, the technology of oil exploitation is becoming more and more perfect. Affected by the imbalance of storage and production, oilfield production capacity is in a floating state. Due to the relatively few unexplored resources, the sustainable development of oil fields is limited to some extent. Therefore, it is an important way to effectively reduce the risk and improve the development efficiency to evaluate and analyze the unused reserves and select the appropriate development method. The development of computer aided technology is expected to improve this shortcoming. Taking the undeveloped reserves of an oil field as an example, this paper USES computer aided technology to select the corresponding parameter sequencing method and analyze the exploitation potential of each layer block, so as to facilitate targeted research and formulation of plans and lay a solid foundation for improving the comprehensive development benefits.

The word synaesthesia is derived from the ancient Greek word synesthesia. "Synesthesia" is composed of the ancient Greek word "SYN" (meaning together and simultaneously) and "AIST-HEIS" (meaning feeling and perception). That is to say, when we feel a system stimulation, the feeling of one or more other react system will be independent, to produce this kind of phenomenon is due to the system of multiple senses of the body, and this kind of linkage is also known as synesthesia activities, is the human common natural phenomena in the process of mental activity. Computer synesthesia analysis also plays an important role in piano works.

With the continuous progress and innovation of the network era, people's life is more and more scientific and intelligent. In this case, the traditional teaching method is no longer suitable for today's education field. According to a large number of studies by experts, it is found that the learning style of big data micro classroom is gradually accepted by all walks of life. Big data micro classroom is a new teaching method. It is the innovation of information technology and educational means. Its emergence gradually aroused the interest and enthusiasm of the majority of educators. This paper mainly expounds the practice and research of the application of big data micro classroom in Aerobics major in the field of physical education. Aerobics course in the course of teaching needs to carry out a lot of gymnastics action explanation. Therefore, the researchers think aerobics major is more suitable to adopt the teaching method of big data micro classroom than other majors.

With the development of computer digital media technology, computer multimedia art has emerged as a new art form.In China, it is very important to embed multimedia art in traditional Chinese culture, draw nourishment from traditional Chinese cultural elements, and give it a national character.This paper USES computer multimedia technology to discuss how to inherit and realize multimedia art design based on traditional Chinese cultural elements by analyzing the opening ceremony of the Beijing Olympic Games and the China pavilion of the Shanghai world expo, because they are the perfect combination of Chinese traditional culture and multimedia art.

With the rapid progress and continuous innovation of web technology and information technology, our society has entered the era of massive data. The application of computer web technology in various fields has raised people's living standard to a new level. In recent years, the introduction of artificial intelligence makes the development of computer technology faster. At the same time, it also brings great convenience to human beings. Researchers found that the comprehensive application of artificial intelligence and computer web technology can well deal with the problems of computer web technology. In this paper, artificial intelligence in the background of the era is the research object. This paper discusses its application in the web technology of computer, and finally gets the conclusion.

The advent of the big data era makes a lot of work face the situation that will be eliminated or left behind without following the trend of reform. This article begins with a simple metaphor to illustrate the importance of management accounting in the enterprise, later pointed out the current management accounting in the development of the enterprise facing four problems, targeted put forward in the application of big data management accounting many advantages, and illustrate with examples, so that this study to achieve the unity of theory and practice,and we will discuss it from the perspective of the analysis of big data.

With the continuous increase of national quality and national scientific research strength, China pays more attention to the development of sports. The combination of computer technology and sports has greatly promoted the progress and renewal of sports in China. According to the foreign sports training information system, Chinese researchers put forward the construction of our sports training information system. As a part of sports events, the training of Chinese athletes' track and field events should also be innovated by information technology. This paper analyzes and discusses the relationship between the development of computer technology and track and field training information system, and finally comes to a conclusion.

In recent years, the combination of the Web of things and various manufacturing technologies has become a hot issue in academia. The emergence of intelligent manufacturing technology based on the Web of things has been repeatedly proposed by various industrial enterprises and researchers. On this basis, a new manufacturing mode of cloud manufacturing technology is proposed. It can be seen that the Web of things technology combined with cloud manufacturing is the key technology to realize intelligent manufacturing thinking in today's society. This paper summarizes the overall architecture of the Web of things coverage network through a brief analysis of cloud manufacturing technology, and finally comes to a conclusion.

In geotechnical engineering, the geotechnical mass is in a three-dimensional state of stress, and the three principal stresses all play an important role in the stability of the slope. At the same time, with the influence of the excavation, blasting vibration, rock joint crack and fault around the slope, the structure and stress state of rock and soil mass change constantly. Therefore, in order to reflect the actual situation more truly, the influence of the three principal stresses on the stability of geotechnical engineering must be analysed and studied as a three-dimensional problem.

With the continuous innovation and progress of electronic technology, the production mode of news content is gradually applied to all walks of life. This application has led to different degrees of changes in various industries. In the field of news communication, this change has innovated the traditional mode of news production and communication. To some extent, the rise of news production content gives new connotation to news production and communication mode. It breaks the time and space boundaries of news production. Based on the analysis of the production model and communication model of news content, this paper discusses its future development strategy and corresponding development trend.

With the development and progress of human beings, many forms of civilization are constantly innovating and evolving in their development. The people of our country should pay attention, use augmented reality technology, network computer equipment and scientific technology to simulate the physical objects and through superposition, the corresponding data information content generated in the virtual world to Show it in a way close to reality, so that people can perceive things in virtual reality and get a sensory experience that transcends reality.

The Oroqen nationality is one of the minority ethnic groups in the north of China. Oroqen is one of the oldest and rarest ethnic groups in China. Since the oroqen ethnic group still retains the characteristics of nomads, many related cultures cannot be retained as the farming culture, and the sharp decrease of population has also become a major problem. Protecting national culture has become an important means to highlight national characteristics and display national personality. However, in-depth study of the shapes and implications of national decorative patterns can better understand the history, humanity, production and life of the nation. In this way, the civilization of the nation can be inherited better, so as to provide a favorable theoretical basis for development.

This paper expounds the importance of hydraulic excavators in urbanization and infrastructure construction, and reviews the history of the emergence and development of hydraulic excavators.Based on the computer aided technology and the working process of the hydraulic system in the practical application, the paper expounds the principles to be followed in the design, so as to realize the design and research of the working device and the hydraulic system of the excavator.

With the advent of the 21st century and the rapid development of science and technology, the concept of information technology (IT) penetrates into people's minds gradually. What's comes with it is the large-scale utilization of the network. It is exactly the development, continuous popularity and openness feature of the network that allow the extensive and fast spread of network virus, which has destroyed the connectivity of network resources. To solve this problem, the author explored the features of computer virus as well as the prevention and treatment to improve the computer cybersecurity.

In recent years, with the emergence, wide application and continuous improvement of high-precision (high resolution) seismic acquisition technology, coherent data volume interpretation technology, 3d visualization technology and spectral decomposition technology, the identification ability and interpretation accuracy of seismic data interpretation have been greatly improved. Especially in the process of rolling edge expansion and development adjustment in the old oilfield, the small faults and microstructures in the oilfield have become one of the key contents of fine structure interpretation.

At present, in the actual translation process, the English translation work is mostly carried out in the form of teamwork.In the future college English teaching, big data and its related concepts and technologies will become one of the main tools for teachers to find and discover teaching rules, summarize teaching experience and innovate teaching methods, especially in the current English translation courses involving international communication.This paper combines the computer big data technology with the emerging teaching methods such as flipped classroom, and attempts to reform the English translation course for English majors, so as to realize the goal of independent learning and improve the quality of English translation teaching.

In the teaching of computer courses, most schools still adopt the traditional teaching method; and then arrange the computer class, so that students can practice. This teaching method is not undesirable, but it is not suitable for some courses, especially those with strong operability, such as Word, Excel and so on in the foundation of computer culture. Because the operational content does not need to understand, for the students only formed perceptual knowledge, has not risen to a higher stage of knowledge - rational knowledge. Therefore, students are easy to forget, even if the teacher is to speak while operating, students in the subsequent computer class is also easy to forget the specific steps of the operation.

It is a very complex and important problem that cracks of engineering structure are caused by deformation (hydration heat, shrinkage, temperature difference). The author in the accumulation of a large number of construction and crack processing experience and theoretical research, on the basis of combination of existing computer network technology, is proposed based on computer technology of the engineering structure crack control synthesis method, including the approximate calculation method of structural mechanics, structure and foundation interaction, construction technology and the optimization of material, environmental conditions, etc.

With the development of science and technology, computer network communication technology plays an increasingly important role in life. At the same time, in this fast-developing society, there are also many risks in computer network communication. Therefore, this paper mainly discusses the application of data encryption technology in electronic commerce, computer software and local area network from the overview of data encryption technology and common algorithms in computer network communication security.

As large-scale comprehensive engineering, civil engineering has the characteristics of complex technology, wide range and difficult management. Under the background that the construction of the civil engineering project is more and more difficult and the construction scale is more and more large, the traditional manual management mode has been gradually eliminated. At present, in order to ensure the construction quality and improve the construction efficiency, it has become the consensus of civil engineering enterprises to adopt flexible computer technology and highly information management system in each construction link of civil engineering. Therefore, this paper analyses the existing problems of civil engineering in planning and construction management, and illustrates the specific application of computer technology in civil engineering exploration, planning and construction management. On this basis, this paper explores the future integration direction of computer technology and civil engineering, and has made innovative research for the development of civil engineering towards a high degree of information and intelligence.

With the increasingly serious environmental problems, electric vehicles are becoming more and more popular. The major factor restricting the further development of electric vehicles is the limitation of driving range. Therefore, it is of great significance to study the energy recovery technology of electric vehicles. At the same time, with the increasing maturity of computer technology, it also provides us with more research methods.This paper first introduces the principle of energy recovery system and regenerative braking control strategy of electric vehicle based on computer.Secondly, computer modeling software is used to model the control strategy of braking energy recovery of electric vehicles. Finally, simulation software is used to analyze the model.

Due to the lack of understanding of the talent demand of film and television industry in universities at the present stage, the specialty of film and television animation practice in higher vocational colleges restricts the matching degree of film and television animation talent training and industry to some extent.But the computer big data can objectively help us to analyze the film and television industry to the talent each aspect demand.Taking tianjin vocational college as an example, this paper analyzes the problems existing in the training of film and television animation talents in higher vocational colleges from the aspects of teachers and teaching modes.Combined with the demand of computer big data, the countermeasures are studied.Finally, this paper discusses the use of computer big data for talent demand analysis of film and television industry, so as to formulate ways and methods to improve the training of film and television animation professionals and the matching of industry demand.

The Internet age is constantly developing and being perfected, and the marketing strategy of the big data of the industrial and commercial enterprises in the Internet age is also constantly developing and flourishing. We can think of Internet applications as providing businesses with the possibility of real-time marketing strategy development. This paper introduces the Data Collection Strategy and enterprise marketing strategy. Facing the traditional marketing method, the new marketing method difference and the novel characteristic are excavated gradually. In today's marketing methods are very complex times, if the industrial and commercial enterprises do not forge ahead, it will be eliminated by the Times.

"Internet" education is a new form of education where Internet technology is combined with the education field. As a traditional discipline, Chinese language courses inevitably have a number of problems to be solved in the curriculum reform process. In this paper, the causes for the imbalances in the construction and operation of the ecological teaching mode are analyzed based on the Internet cloud platform environment. A teaching mode construction plan based on the mind map is proposed to provide a beneficial reference for the healthy and sound development of Chinese language teaching.

The computer-aided simulation of terrain optimization scheme can effectively solve the analysis problem of coastal wetland terrain and seawater inundation. The construction of three-dimensional model uses the traditional polygon-based method, which has great expression in terrain complexity and flexibility The limitations of voxel-based terrain production methods have brought various innovative ways to improve the quality of the 3D world scene while saving costs. A large part of the success of simulation technology now comes from the highly realistic 3D virtual world, which makes people immersed. And the application based on computer modeling can well meet the requirements of high-quality scenes. With the development and maturity of computer modeling technology, we are left with both opportunities and challenges. This article analyzes them.

Compared with traditional sewage treatment technology, it has the advantages of good effluent quality, high treatment efficiency, and automation. This article analyzed the mechanism of causing membrane fouling during its operation and proposed control strategies relying on computer automation technology, introduced several new membrane bioreactors and methods for process improvement, and finally looked forward to its future development trend.

The paper herein will describe mechanism of ultrasonic cleaning medical device and the main factors affecting the cleaning effect; The research status and problems of ultrasonic cleaning equipment under computer control system are introduced; Key factors to break through the bottleneck of development are given.

Internet + plays an important role in the process of social change and human life. It is a booster for a country to move towards wisdom, and it has risen to the strategic level of national action. With the continuous expansion of China's medical scale, more and more nursing practitioners, the number of registered nurses per thousand populations is also increasing. The national plan for the development of nursing service (2016-2020) proposes to speed up the development of nursing service and closely link the connotation of nursing service with people's health needs. Strengthen the construction of nursing informatization, with the help of the rapid development of information technologies such as big data, cloud computing, Internet of things and mobile communication, vigorously promote the construction of nursing informatization, and strengthen the information system of nursing application such as mobile medical equipment.

With the development of society, public service advertisements are more and more common in our life, usually expressed in the form of animation.Because of its non-commercial nature and as an important part of social welfare services, it should be vigorously promoted by us.At the same time, the continuous development of computer technology and the increasingly mature of new media technology give more choices for the performance of public service advertising.The purpose of this paper is to study the application of the animation form of new media technology in public service advertisements under the background of computer network.

Public service advertisement has its particularity. In public service advertisements, there is no commodity or promotion. This also brings many problems to public service advertising, such as unclear core events and low relevance to people's livelihood. Based on the AHP analysis of computer big data technology, this paper believes that through the joint analysis and design of many advertising elements, such as communication channels, core events, core channels, people's livelihood relevance, etc., we can achieve better communication effect of public service advertising.

As MES is widely used in tobacco production and manufacturing, the quality control and evaluation of tobacco enterprises have been greatly improved. This paper expounds the application significance and necessity of MES in tobacco industry, through studying several methods of optimizing quality control and improving quality evaluation through computer intelligent management model in Luoyang cigarette factory on the basis of MES, and realizing MES iterative improvement in this process, which provides a reference example for quality management and improvement evaluation of tobacco production enterprises.

Multimedia technology can integrate texts, pictures, animation, video, audio, and other information units. Songs based on multimedia technology are unmatched by any traditional teaching approaches. The musical elements in the songs of the War of Resistance have spread widely among the people for thousands of years, passing forward the important music styles that the people are highly familiar with and those with continuous derivation, development, and spread in the national folk music. From practical music creation, the time significance of the songs of the War of Resistance based on modern multimedia technology is explored based on the principles that should be followed in music creation.

Information technology makes the social development experienced another major change almost covered and penetrated into all walks of life. Civil engineering design, along with its main features: large engineering design; Heavy computation; Long design cycle; High labor intensity. Information technology in the civil engineering design development, and gradually produced a variety of computer-aided design technology, successfully solved the difficulties, making the civil engineering design difficulty greatly reduced. It can be seen that the development of information technology has brought immeasurable benefits to the society, so how to further apply information technology to civil engineering and bring huge benefits to civil engineering has become the focus of today's research.

CCD (charge-coupled device) is a unique performance of the semiconductor photoelectric device, CCD technology applied to displacement, thickness and other geometric measurement, can achieve high precision, online dynamic detection and non-contact measurement requirements. This system USES the method of combining FPGA and single chip microcomputer to measure the thickness of the object using CCD as the sensor. In this design, the CCD driver pulse circuit, control logic and calculation circuit are all integrated in FPGA chip, thus improving the reliability of the system and creating conditions for the system integration. External display and control circuits such as liquid crystal display, keyboard and EEPROM memory are designed by SCM. The whole system embodies the characteristics of high integration, simple structure and superior performance. This paper introduces the principle, design and implementation of the system in detail.

Based on current serial algorithms for electromagnetic field computation, the parallel algorithm concept where the "divide and conquer" approach is adopted has designed and implemented electromagnetic field computation in 3D rectangular coordinates, cylindrical coordinates and polar coordinates of CHIPIC software. The speedup ratio of the parallel algorithm is analyzed. Finally, the correctness and efficiency of the algorithm are verified through case studies.

Given the problem of relatively few solutions to military reconnaissance or interference search link, as well as the slow speed and low accuracy of the existing solutions, a fast search method for digital broadcast signals using multi-convolution neural network (MCNN) was put forward. In this method, MCNN was applied to the radio monitoring field, and the fast wireless location of signals was implemented by three steps (data pre-processing, parameter training, and signal matching). The experimental results show that the method has a fast search speed and an accurate up to 98%. It can also reduce the dependence on complex parameters of the signals effectively, with excellent performance in the fast wireless location of digital broadcast signals.

In recent years, food safety problems occur frequently, although only a very small number, but affect the nerves of the general public," people take food as the sky ", in food safety is really not ambiguous. by expounding the requirements and expectations of food safety, this paper introduces the method of big data technology in contrast to the current situation and problems of nutrition detection in food safety. With the help of the application of big data, several suggestions are put forward in order to study an accurate, comprehensive and efficient method for the detection of food nutrition components.

With the unrestricted exploitation of oil reservoirs in China, the problems of rising water content and decreasing oil production of oil wells continue to appear. What's more, the over exploitation of reservoir will lead to the decrease of formation pressure. The decrease of underground pressure will lead to the expansion of rock skeleton. This phenomenon will lead to expansion engineering accidents. The numerical simulation of oil reservoir based on computer geological modeling, as a cutting-edge technology which can combine geological model and oil production performance, has achieved good results in oil production. More and more attention has been paid to numerical simulation technology in oilfield exploitation.

With the continuous development and changes of international business activities, business English teaching has developed rapidly around the world. This article explores the value of Internet-based computer-assisted language teaching in business English course teaching relying on computer-assisted technology, combined with business English teaching examples. The results show that multimedia technology increases the information output of teachers and creates more vivid learning environment of language learning, greatly improving the teaching efficiency and quality.

With the continuous innovation and progress of vehicle rail transit technology, wireless sensors and radio frequency coils are gradually used in the signal system. In the past, these devices were battery powered. This kind of power supply not only increases the loss of cost, but also may pollute the environment. Therefore, we plan to use the energy of track vibration as a new type of energy to supply power for trackside equipment. In the process of field power supply, this technology provides power support and reduces the cost. In this paper, the collection method of vertical vibration energy of track is planned to provide power support for track side equipment, and the corresponding conclusions are finally obtained.

With the implementation and continuous progress of road projects in China, the use of modified asphalt has been recognized in the process of building high-grade roads. At present, its application is more and more common. According to the overall statistics of highway performance testing in China, we find that the aging speed of modified asphalt is faster and faster under the influence of vehicle load and natural factors. In many areas, the aging degree of modified asphalt is very large. This situation will seriously threaten the safety of vehicle driving. The application of recycled asphalt technology is more and more common. In this paper, through the study and analysis of the experimental details, the road performance of the modified asphalt with geothermal regeneration is discussed, and the final conclusion is drawn.

Road engineering is one of the key projects supported by our country. As we all know, the road construction needs asphalt mixture as the main construction material of subgrade. After each renovation of the old asphalt road, there will always be a lot of old asphalt. In addition, after the construction of each road project, there will always be some asphalt mixture left behind. With the passage of time, the remaining asphalt mixture has become waste engineering materials. With the theme of energy conservation and emission reduction being put forward, the recycling technology of waste asphalt mixture has become one of the main ways of road maintenance and reconstruction in China. In this paper, the application of waste asphalt mixture based on thermal regeneration technology is deeply studied, and the final conclusion is drawn.

Nowadays, the commercialized operation of sports events is becoming more and more mature. Large-scale sports events are dominated by the government as well as by the marketing, and their comprehensive benefits have a great impact on the urban development. At the same time, in today's increasingly mature computer technology, the organic combination of large-scale sports events and computer technology can maximize the development of large-scale sports events to the city. Based on the connotation and extension of sports events, Taking Wuxi City as an example, this paper analyzes the positive role and influence of large-scale sports events on the development of host cities, which are mainly reflected in three aspects: politics, economy, society and culture, as well as how to combine computer technology with large-scale sports events organically.

With the development of computer network technology, computer graphics processing technology has also been extensively applied in various fields of social life. In this paper, the computer graphics processing system is used to perform graphic analysis. GIS model computation method is designed to obtain the processing equations of 1D, 2D, and 3D graphics. Traditional and modern comparative experiments show more clearly that the computer graphics processing technology based on GIS is more The of the model is more applicable to the development of modern society than the traditional computer graphics processing technology.

With the progress of society, modern science and technology have achieved rapid development, and people's research on mechatronics has become more in-depth. The three technologies of machinery, electronics, and information are organically combined to achieve the purpose of optimizing the system. Mechatronics based on computer technology can give play to the characteristics and functions of various technologies, thereby promoting the improvement and improvement of the quality of mechanical products. Mechatronics technology is the core technology of mechatronics. With the development of this technology, the functional, safety, accuracy, operability, flexibility and other characteristics of electromechanical products are constantly being improved and enhanced. This article mainly discusses and analyzes the application of several integration techniques based on computer technology in modern mechanical engineering.

Econometrics has influenced the whole structure and research methods of economics. Since the late 20th century, almost all economic theories are based on mathematical models. Therefore, by studying the mathematical model of economics, we can find more economic lawsand, at the same time, the development and application of computer technology provide more auxiliary methods for our analysis.This paper takes three kinds of economic mathematical models as the research object, based on computer application technology, finds out the law of research methods related to economic mathematical models, and seeks for new breakthroughs in economics.

After the CPC central committee put forward the construction of a new socialist countryside, rural tourism has been favored by more and more tourists and has become an important part of the development of China's tourism industry.In recent years, the development of rural tourism has also presented a new trend, and many new rural tourism projects suitable for regional development have been developed.Based on the analysis of the current situation of rural tourism development, an evaluation system based on the characteristics of rural tourism resources is established by using computer analytic hierarchy process (ahp).And select representative rural tourism scenic spots for empirical research to provide scientific basis for the development of rural tourism resources.

Through the introduction of cybernetics, this paper introduces in detail the course of cybernetics in the development of society and science, and briefly expounds the dispute over the status of cybernetics in the development of science and technology, which leads to the inseparable relationship between cybernetics and modern intelligent machines.Finally, based on the computer-aided discussion of the simulation of biological conditioned reflex mechanism by industrial machinery under the background of cybernetics, the irreplaceable position of cybernetics in the development of technology is obtained, and the application of the conditioned reflex mechanism in the future is made a bold assumption according to the prospect of the development of computer.

Computer multimedia, with its visual image, convenient interaction and mass information, has become an effective teaching method.Teachers of ideological and political theory should follow the principles of scientific, practical, artistic, interactive and open in the construction of computer multimedia.

The reason why some mathematical approaches fail to achieve ideal results in social and economic statistics, especially in financial statistics, is that outliers and exceptions in the sample data lead to the fact that the calculation results cannot reflect the internal relationship of variables correctly and thus deviate from the practical economic significance. The resistance algorithm introduced in this paper can be used to solve these problems in many economic fields and achieve an excellent effect, especially in the financial, statistical analysis field. In this paper, the resistance algorithm is used to analyze the relationship of the liquidity preference with the income and interest rate. Based on the analysis of the annual network data in recent years, the effect of interest rate and liquidity preference is analyzed in this paper. The economic theory is combined with the actual situation in China for analysis. It is believed that a proper economic explanation can be obtained based on the application of the resistance algorithm proposed in this paper.

Semi-group theory of linear operators is the theoretical basis and an important tool for the research of repairable systems, which plays an essential role especially in discussing the suitability, asymptotics, and stability of system solutions. In this paper, a class of repairable computer system models is studied based on the normal semi-group theory. The theory of normal sub-semigroup is used to discuss the inverse semi-group features of system operators. The results show that system operators have closedness, consistency, and dissipativity.

The result of log lithology interpretation is the basis of reservoir parameter calculation and oil-gas evaluation, which provides the basis for geological research such as sedimentary facies division. However, there are different interpretation methods, involving different mathematical methods and calculation processing steps, and there are advantages and disadvantages in practical application. There are few previous discussions on this classification. Qualitative interpretation method of logging response characteristics based on computer technology, plate solution method based on logging response equation, equation group solution method based on logging response equation, statistical analysis method based on "core calibration logging", this paper will The application of the mathematical methods involved in statistical learning theory to the interpretation of logging lithology is the research trend of interpretation methods.

Innovation and entrepreneurship education platform is the basic requirement for the full implementation of quality education. They are the important embodiment of entrepreneurship practice education of college students. Innovation practice and entrepreneurship practice have common characteristics in education, function and nature^[1]. The establishment of innovation platform should integrate the characteristics of innovation and entrepreneurship. How to integrate innovation and entrepreneurship education into the process of talent training and realize the integration of innovation and entrepreneurship ability of college students has become the focus of Entrepreneurship Talent Training in Colleges and universities. This paper describes the construction mode of innovation and entrepreneurship practice platform and the retrieval construction of educational resources.

In audio coding, the use of audio signals with the minimum quality to perceive distortion and express them at the lowest possible coding rate are studied to facilitate the transmission or storage of the audio signals. In this paper, the VBR (VBR) audio coding algorithm for sound quality control is designed based on computer audio technology. Audio signals are quantized and encoded according to the requirements for different levels of sound quality. The songs of the War of Resistance are used for testing. The test results suggest that the proposed algorithm can minimize the coding rate at the set sound quality.

Mechanical design and manufacturing and its automation is to solve and deal with a series of complex technical problems in the field of modern engineering by exploring the process from the initial design to the final production of a variety of industrial mechanical equipment and mechanical and electrical products, and to realize the intellectualization of products.For a long time, mechanical design and manufacture and its automation have been a hot topic in China's industrial field.With the development of computer technology, mechanical design, manufacture and automation are developing in the process of combining with computer technology.The purpose of this paper is to study the application of computer technology in mechanical design and manufacture and its automation.

From the point of view of self-organization evolution, complex adaptive system theory, evolutionary game theory modeling and simulation method, comprehensive use of multi-agent system to simulate the establishment of the cooperative strategy mechanism between the objects of the technical enterprise incubation alliance in different credit cooperation environments.The dynamic process of cooperative strategy selection of the main body of the incubation alliance of science and technology enterprises under different cooperative conditions and market credit environment is studied systematically and with computer control.This paper analyzes the strategic selection mechanism of cooperation among the main bodies of the science and technology enterprise incubation alliance.When participating in the incubation alliance's strategic cooperation in the credit environment, unified environment and fraud environment, the technology incubation service institutions should adopt the strategy of cooperation with other entities.

High-performance wood-based composite can be obtained by mixing carbon fiber with electrical conductivity and wood fiber. The composite is taken as the research object to establish a macro-micro mathematical model for its performance. Based on the computer simulation analysis technology, the effective correlation between macro description and micro finite element analysis is used to implement the digital research on the technical performance of the self-healing U-shaped canal and obtain the 3D potential and current density nephogram of the sample plate. In addition, the feasibility of the performance simulation analysis based on the modeling method is verified.

Myocardial damage after neonatal asphyxia is one of the common diseases of newborn, its harm is great, can affect the prognosis of newborn asphyxia. Serum creatine kinase isoenzyme (ck-mb), troponin (cTnI), creating kinase (CK), lactate dehydrogenase (LDH), poly hydroxybutyrate dehydrogenase (HBDH) and myoglobin (MB) are commonly used markers of serum myocardial injury. The determination of these indicators is of certain value for the diagnosis, treatment and efficacy evaluation of myocardial injury after suffocation. CP has been widely used in adult angina pectoris, myocardial infarction, various causes of cardiac dysfunction and other diseases, used to protect the myocardial function, has achieved good efficacy. In pediatric clinical work, CP has been used in the treatment of viral myocarditis, pediatric pneumonia or viral infection with heart damage, but few studies have been conducted on the myocardial damage in neonatal asphyxia.

With the rapid development of China's economy, the construction industry has entered a period of rapid development. The large-scale urbanization process has brought unprecedented demand for new buildings. BIM technology is an emerging engineering digital design method in the architectural design industry in recent years. By building an architectural information model, the comprehensive and comprehensive civil engineering design, related inspection and pipe network control can be realized. From the overview of BIM technology and the analysis of the characteristics of BIM technology, this paper analyzes the application of BIM technology in energy conservation.

Where a company performs proper human resource administration in the management process, it can create an excellent working atmosphere, mobilize the enthusiasm of employees, allow employees to exert their creativity in the process, increase work enthusiasm, improve the overall work efficiency, thus promoting the sustainable development of the enterprise. Therefore, the managers of enterprises should seize the opportunities in the era of big data, carry out appropriate human resource management by using artificial intelligence technology under computer science, and take specific measures to improve the work efficiency of employees.

Prefabricated building is a new type of building.It has considerable advantages over previous forms of architecture.With the gradual improvement of people's quality of life, the requirements for the appearance, characteristics and quality of architectural engineering are getting higher and higher.With the development of computer CAD three - dimensional technology, the design effect of assembled houses can be better presented in the design process.This is easy to modify according to requirements.This paper first briefly summarizes the design features and process of prefabricated buildings, then analyzes the design points of architectural forms in detail, and finally explores the improvement of the application of computer CAD 3D technology.In order to provide a reasonable way of thinking for the future stable development of the construction industry.

The situation of financial performance is an important basis for evaluating the development level of colleges and universities, and the construction of financial performance evaluation index system related to it has also become the focus of people's research. At present, although our country has made some breakthroughs in the construction of the financial performance evaluation index system of colleges and universities, there are still deficiencies in many aspects, which seriously restricts the improvement of the comprehensive development quality of colleges and universities. Therefore, this paper analyses the problems existing in the financial performance evaluation index system of colleges and universities, and expounds the importance of computer science and technology in the construction of the financial performance evaluation index system of colleges and universities. On this basis, this paper constructs the financial performance evaluation index system of colleges and Universities Based on computer science and technology, and puts forward the analytic hierarchy process of the evaluation index integrating computer technology, which provides a solid theoretical support for the evaluation of financial performance of universities and the improvement of the level of running schools.

With the gradual expansion of the field of artificial intelligence applications, human exploration of the unknown world and the limit field is also deepening, and people's lives and production methods have undergone tremendous changes. In the era of artificial intelligence, art will undoubtedly be greatly impacted, but more importantly, we need to see the new changes brought to art by the technological development in the era of artificial intelligence. Therefore, this article describes the development status of intelligent technology and art product design, and discusses the application examples of artificial intelligence technology in the art field. On this basis, with the concept of artificial intelligence boundary as the core, the innovative methods in the field of art product design are studied in depth.

Aerobics can exercise our body and build a perfect body. Aerobics training is essential for people who love sports and need to lose weight. In today's aerobics teaching process, the virtual electronic network teaching system provides people with great convenience. According to a large number of studies by foreign researchers, the teaching method of Aerobics Teaching System Based on electronic action library plays a positive role in improving the training quality of aerobics. Moreover, it is found that the aerobics system based on information technology and movement design can improve the visualization level of gymnastics movement. Therefore, it is necessary to optimize and design the virtual teaching system of aerobics.

With the continuous improvement of China's power system requirements, a good and stable power supply is particularly important. Among them, the operation of power cable equipment is closely related to the quality of power system. Therefore, continuous improvement and reform of power cable equipment fault analysis and electric field detection technology can improve the quality and timeliness of power system. Based on the analysis of power cable fault and electric field detection technology by computer control system, this paper summarizes the related fault problems and electric field detection technology, so as to improve the quality of China's power system.

Construction engineering is a very complex system engineering project, which will be affected by many aspects. Therefore, construction project management often delays the cycle, which has become the main problem of project management. BIM Technology has been very mature, which has become the basic software of construction project management. Through BIM Technology, we can master the whole life cycle of construction project, which will improve the efficiency and effectiveness of project management. Firstly, this paper analyzes the efficiency and effectiveness of BIM for project management. Then, this paper analyzes the application of project management based on BIM.

In recent years, the rapid development of China's social economy has significantly improved people's living standards, but it has also led to the increasing demand for electricity in the whole society.This situation has had a very negative impact on the steady development of the social economy.Therefore, it is imperative to strengthen the application of energy saving technology and new energy.At the same time, the increasingly mature computer technology has also given us more ideas in strengthening the energy conservation technology and the application of new energy.The purpose of this paper is to study how to strengthen the application of electricity energy saving technology and new energy in real life by combining computer technology with electricity energy saving technology.

To cultivate high-quality medical talents, given the problems in the biochemistry teaching at basic medicine colleges, a flipped classroom teaching model is established based on PBL and multimedia technology through WeChat public platform and virtual simulation experiment platform, to improve the enthusiasm of students in learning, improve the teaching effect, and blaze a new trail for the reform of medical experimental education.

With the development of cloud computing, it has provided a platform for big data presentation and sharing. These data often contain artificially added uncertain factors to prevent privacy leaks. How to perform mining of these big data is a problem to be solved urgently in big data sharing. In the big data for sharing, it is implemented through the generalization process of precise data, with the feature of uniform distribution, which is not conducive to exact query, but it can provide convenience for the mining of association rules. Firstly, based on the possible intersection or inclusion relationship, hierarchical clustering is performed on the generalized values. To save the essential information related to big dataset mining, we proposed an algorithm for building an uncertain frequent pattern tree. An improved algorithm of network big data mining based on association rules of computer technology is proposed in the big data environment, and its application in landslide monitoring and early warning is discussed.

Currently, the mismatch between the talent output from universities and the social demand for talents has become a tough problem in the education and teaching of Russian language majors in China. In recent years, with the deepening of reform and opening up, the school-enterprise cooperative education mode has stood out from many school-running modes and begun to attract the attention of college educators. The mode of school-enterprise cooperation is based on the development and practice of the computer Internet platform, combined with abundant social resources, practice environment, and adequate funding, to address the difficult problem of Russian language teaching and talent training.

With the high popularity and extensive application of computers, computer renderings can meet the market demand and conform to the development trend of the times. Hence, they are so widely used in the design market for communication that designers may ignore the existence of hand-drawn renderings to some extent. However, after several years of vigorous development, when we began to review the renderings in the design calmly, we found they have their respective strengths and weaknesses. Neither should be ignored, but they should be combined instead. Computer drawing has accounted for an increasing proportion of the design field. However, hand-drawing still has its irreplaceable features. Based on their respective features and design process, the differences in the forms of presentation between hand drawing and computer drawing can be reasonably analyzed to fully exert their respective roles.

With the continuous reform and progress of education, the social education sector has paid more and more attention to the education in China. Based on the continuous increase of funds for speculative education in China, the construction projects of colleges and universities are also increasing. All kinds of university construction projects need huge capital operation. Therefore, the audit of university funds has become the focus of people. It is a new audit method to carry out the follow- up audit of university construction projects. The artificial auditing method is slow and can't meet the needs of university construction. In this paper, we use the network to build an information-based way of tracking audit.

Nowadays, 3D technology can be used to simulate and create a simulated virtual scene and present objects in the real world to people in an all-around manner. This technology can play a significant role in various fields. It is still quite challenging to create a virtual environment similar to reality, and one of the challenges is represented the virtual construction industry system. In this paper, the 3Dmax modeling software is used to establish a 3D model of the campus library and add some roaming animation for an all-around demonstration. Animation production mainly includes the modeling of teaching buildings, the production of materials, lights, animation paths, the use of cameras, the final animation rendering output, and the postproduction processing of animations with the video editing software premiere cs6.

Since ancient times, there have been precedents of planting trees and flowers around siheyuan.Based on the intervention of aesthetics, the landscape modularity is combined with the residential landscape architecture examples in various places.Based on computer aided technology, this paper takes residential area as an example and expounds the different forms of plant landscape configuration in various buildings.Combined with computer aided technology, it can quickly and effectively extract the plant landscape module and apply it to the plant landscape design, providing reference for the plant landscape design of other residential buildings.

The design of complex products is the result of applying multi-domain knowledge. Moreover, global competition also requires enterprises to speed up the progress of new product development and shorten the r&d cycle in the "unpredictable and continuous and rapidly changing competitive environment". So in today's highly developed information technology, how to in the computer, so will the design knowledge in the field of multidisciplinary combined effectively, so that you can in a shorter time to provide the market with higher quality, more reasonable cost, better service and more environmentally friendly products, to maintain and expand the competitive advantage, is the key to successful product design. In this paper, we study the Internet environment based on P2P technology of artificial intelligence distributed collaborative design system, first of all, the operation mode of the distributed collaborative design and functional requirements and so on has carried on the system analysis and research, and based on this, advances based on P2P technology of artificial intelligence the architecture of collaborative design system, transfer the data management in collaborative design and collaborative processes to the coordination between site directly, in all of the site is established between the resource sharing, dynamic adjustment mechanism, and obtained better effect of collaborative design.

In recent years, with the progress of technology, the requirements of lighting in various fields are getting higher and higher. Matrix headlights break through the shortcomings of traditional headlights and show greater application advantages. The purpose of this paper is to promote the wide and good application of matrix headlights by deeply studying the design of matrix headlights controlled by the controller based on artificial intelligence. This paper first introduces the concept and advantages of matrix headlights, and introduces the main algorithms of artificial intelligence in the design of controller control matrix headlights. Then, on the basis of the application design experiment, the specific design idea is explained in detail, and finally, the design method proposed in this paper is tested and analyzed. The experimental results show that compared with traditional headlamps, the energy consumption of matrix headlamps is reduced by about 16%, the regulation rate is increased by 34%, and the illumination rate is increased by 12%. The matrix headlamp designed in this paper not only effectively reduces the energy consumption of the headlamp, but also improves the regulating effect and lighting effect of the headlamp.

At present, because of the information security chip encryption, authentication, storage and other advantages of multiple integration, and can provide a more complete and confidential information protection services, it has increasingly become a leading technology to dominate the information security market, information security applications in the future of the main development trend. The purpose of this paper is to promote the further development of information security technology through the integrated design of information security chip based on the system level packaging of artificial intelligence. This paper first introduces the system-level packaging technology, artificial intelligence technology and related design algorithms, and then proposes a specific design scheme of system-level packaging information security chip integration based on artificial intelligence starting from specific design experiments. The experimental results show that compared with the traditional technology supported by SOC, the security performance of the integrated design proposed in this paper is improved by about 17%, the information processing performance is improved by about 22%, and the signal cycle is accelerated by about 16%.

In recent years, artificial intelligence has gradually penetrated into people's lives, and the emerging technological field of "artificial intelligence" has begun to be paid attention by more and more groups. The integration of artificial intelligence in environmental art design has also triggered human exploration of "smart home". The purpose of this article is to promote the development of environmental art design towards intelligentization by discussing the status quo of the development of the intelligent space environment. This article uses the network research method to investigate the intelligent construction of public libraries at and above the provincial level in China. In general, there are 28 libraries with self-service loan and 24-hour self-service library service facilities, and the construction of intelligent projects has reached 93.33%. Intelligentization has become the general trend.Analyze the smart home space and environmental art design, promote the development of environmental art design to be intelligent, and provide people with a better quality living environment.

With the continuous development of science and technology, modern information technology has also made remarkable progress. Social civilization has completed the transformation to an information society. Information technology has been widely used in all walks of life. While bringing convenience to people's lives, It has also changed people's lifestyles and living conditions. Sports industry as an important part of society, the use of information-based teaching methods in college physical education is an inevitable trend. Based on this, this article conducts research on the application of information technology in college physical education. This paper conducts research through a combination of literature review method and experimental comparison method. By consulting relevant domestic and foreign materials, it summarizes the information technology in college physical education. The application methods and strategies mainly include: use of information technology to stimulate sports enthusiasm accounts for about 21.3%, use of information technology to develop thinking ability accounts for about 15.6%, use of information technology to break through the difficulty of action accounts for about 8.6%, improve the teaching level of professional teachers and Professional literacy accounted for 16.3%, innovative teaching models, production of micro-class videos accounted for approximately 22.1%, construction of online platforms, implementation of online interactions accounted for approximately 7.6%, and establishment of information-based teaching evaluation system accounted for approximately 8.5%. The feasibility of the application of information technology in college physical education. So as to provide a reference for the reform of college physical education in China.

Energy is the driving force of social and economic development. With the gradual depletion of conventional energy and the increasingly prominent ecological and environmental problems, the power industry needs to find a sustainable development path. Parallel control of microgrid inverters based on adaptive droop control is an important part of future intelligent and sustainable power systems. However, with the continuous increase of power generation equipment capacity and the continuous increase of load power consumption, the form of power supply by a single inverter can no longer meet the requirements. Therefore, parallel connection of multiple inverters has been widely used in the microgrid. In this paper, a set of parallel control methods for microgrid inverters based on adaptive droop control is established. This paper is based on the inductance of the inverter's terminal impedance, and the amplitude of the inverter terminal voltage is positively correlated with the output reactive power and has a strong correlation It is concluded that the microgrid based on adaptive droop control has the ability to automatically adjust the voltage and frequency of the microgrid. Properly reducing the droop coefficient can improve the primary frequency modulation capability of the microgrid. In this paper, an improved resistive control equation is used in a parallel system, a multi-loop control structure with a quasi-resonant controller is used for the inverter in the parallel system, and a virtual complex impedance is added to perform small signal analysis on the improved resistive control equation The overall performance of the parallel system is analyzed, and the effect of different control coefficients on the system performance is clarified. The experimental research results show that when analyzing the effect of the inductance coefficient value on the equivalent output impedance in the virtual complex impedance, the value of KL is 1 At this time, the equivalent output impedance becomes resistive again, and the property is stronger than when KL is 0.05.

With the rapid development of information technology such as big data, Internet of things, cloud computing and artificial intelligence, the combination of advanced technology has become an inevitable trend of biochemistry development at the present stage, and also brings new opportunities for the development of this field. In order to better combine information technology with biochemistry, this paper established an evaluation system for the actual performance of heavy metal biomass material in water removal, and systematically studied its adsorption mechanism. In this paper, 12 kinds of adsorbents of primary materials, carbon black materials and modified materials were prepared by crushing, charring and modifying four kinds of biomass, namely rice stalk, wheat harvest, corn and rice and peanut shell. The adsorption of Cu by these 12 adsorbents was studied. Combined with information technology, the use of scanning electron microscopy (sem) analysis, specific surface area and adsorbent for the characterization of infrared spectrum analysis and study, adsorption time, pH, adsorbent additive quantity, temperature, ionic strength, competition from Cd adsorption effect on the adsorption effect, build the evaluation system, in the end, to evaluate the material removal efficiency of the experiment efficiency, are all over 92%, which is beneficial to the combination of information technology and biological chemistry development.

The construction of image recognition system is inseparable from the development of computer network technology and artificial intelligence. Although the previous large-scale integrated circuit technology has made amazing achievements, it still cannot directly perceive the sound, image, text and other information. With artificial intelligence and modern network technology to open up new achievements in this research field, it is particularly important to carry out the research of image recognition system. The bronze culture and art of the Chinese Bronze Age are the crystallization of the wisdom of the ancient Chinese labouring people and a precious heritage our ancestors left us. How to preserve these precious cultural heritages with the means and methods of modern science and technology is a necessary process to further understand the time-honored characteristics of the Chinese nation. This paper will carry out the research from the Angle of modern artificial intelligence network technology integrating art, and strive to depict and preserve the colorful bronze culture systematically and comprehensively. This paper tries to construct a set of bronze cultural image recognition and management system, so that most users can realize the appreciation and management of ancient culture in a modern way through the intervention of artificial intelligence and network technology.

Tax reform related to the vital interests of each of us, life is closely related to our income.This paper will explore the impact of the new tax on the middle class in big data perspective, in order to promote the overall reform and improve the personal income tax system. In this paper, through a questionnaire survey on the employees of some enterprises and units in the middle class in City A, it is found that 92.50% of the people think that the new basic tax reform "basic deduction + special deduction + special additional deduction" is a superimposed deduction model of costs, which is more concerned People's livelihood issues, can enjoy the benefits of personal tax reform to a greater extent; 87.10% of people agree with optimal adjustment of the rate structure, reducing the tax burden; However, some believe that middle-class taxpayers in different parts of the taxpayer unified exemption amount is not fair, you should consider regional differences, where appropriate, to enhance the relevance and quantification system hierarchy.This paper can be seen through a new tax to reduce the burden on middle-class people, well-being has improved, but there is still room for improvement.

Big data technology controls huge global data information. Big data can not only open up new perspectives on human aesthetics, but also easily form human cocoon rooms. The purpose of this article is to use the big data to study the diversity of the aesthetic characteristics of contemporary watercolor painting, which will help the painter to broaden his mind, continually advance his consciousness, and be full of interest and passion to invest in the creation of watercolor painting in the future, and promote the development of the contemporary watercolor diversity in China. This article takes the aesthetic environment of contemporary Chinese watercolor painting as the background and compares it with the aesthetic characteristics of Western countries. The similarities and differences between the Chinese and Western aesthetic directions are listed. 73.30% of students and teachers think that most of the watercolor paintings in the UK are landscape paintings, and they are biased towards architectural landscape painting. Focus on realism, traditional style of painting; 76.70% of students and teachers believe that the watercolor paintings in the United States are colorful and rich, with high color purity and saturation, and strong visual impact. In this way, we discuss the advantages and disadvantages of the development of contemporary Chinese watercolors, put forward rational suggestions for the diversified development of contemporary Chinese watercolors, and promote the diversified development of the aesthetic characteristics of contemporary Chinese watercolors.

The adjustment of national industrial structure is in urgent need of a large number of talents with innovative and application-oriented ability. For the major of financial management, enterprises need graduates with strong comprehensive ability. Therefore, many universities have started ERP sand table simulation training courses. This experiential teaching mode enables students to be involved in the operation of virtual enterprises. Through the research of ERP curriculum innovation system based on big data and information technology, this paper provides technical Suggestions for the optimization of ERP curriculum. This article first introduced the ERP course about the content and construction of ERP course system used in the algorithm, based on the theory, on the basis of our simulation has set up a platform of ERP teaching, and for two months in a university teaching experiment, the collection of the student for simulation platform of ERP teaching evaluation, the results showed that 83.2% of students satisfied with the innovation of the course. Through the study of this course, students can further master the skills of entrepreneurial team building, strengthen the concept of cost, and hone the sense of competition.

In recent years, the problem of bullying on campus has frequently come into public view with media reports, and it has become a social issue that people are gradually paying attention to. This study was designed to investigate the case of minor bullying empirical investigation and analysis of literature and junior high school students bullying lessons in order to reduce school bullying, to help young students to establish a correct outlook on life and values. In this paper, big data environment, by extensively reviewed the literature on bullying respect to A middle schools through third grade students for the study, investigate the current status of school bullying, others come to nicknames such bullying Behaviors accounted for the largest proportion, accounting for 14.4% and 18.5%, respectively; It was followed by hands-on beatings, and at the same time learned that the development of the level of consciousness of the rule of law among junior high school students is not yet mature and lacks the correct concept of the rule of law. The research in this article helps to promote the anti-bullying legislation in China and promote the rule of law in education.

In recent years, with the in-depth development of the Internet, computer data mining technology has gradually matured, social networks have been integrated into people's daily lives, and more and more Internet users have expressed their personal emotions and commented on social hotspots on social networks. In this regard, social network public opinion analysis plays a vital role, and has attracted widespread attention from academia and industry. In order to better excavate Weibo users' opinions and ideas on social events, and track the development of the events, it is more conducive to the work of public opinion monitoring and rumor control. This paper expounds the research status of data mining and the current situation of psychological problems of college students. It introduces computer data mining technology into the analysis of college students' emotional regularity, and introduces the concepts, functions, technologies, methods and processes of data mining. This paper proposes a clustering method based on the characteristics of the semantic recessive sentiment of frequent itemsets, which fully considers the implicit sentiment regularity of semantics in Weibo. Firstly, we define the frequent feature word set of Weibo based on the characteristics of dominant sentiment, and use the maximum frequent items. Clusters to obtain initial clusters of regular emotions; for text overlap between initial clusters, an inter-cluster overlap reduction algorithm based on short text extended semantic membership is proposed to obtain completely separated initial clusters; based on cluster semantic similarity matrix, agglomerated emotions are given Regular clustering method. Finally, the validity of the text method is verified by the training corpus data provided by the NLP & CC2013 evaluation. It can be known from the test results that when the minimum support degree θ of the cluster is 0.5-0.6, the clustering effect of the analysis of sentiment regularity is better.

The arrival of the information age has created a more suitable for the social development of the era of big data. Under the new normal, the era of big data increasingly needs all-round, talented and innovative talents. And in recent years with the continuous development of electronic information technology, China's e-commerce development by leaps and bounds. The purpose of this paper is to build a more information-based teaching system of website construction for e-commerce major through the combination of big data technology. Based on the background of the era of big data, this paper puts forward the view of carrying out educational information reform in colleges and universities, and puts forward a new idea of building a teaching model based on information management. It includes the following points: strengthening the construction of standard system of educational informatization, promoting the effective integration of educational information system, improving the overall information literacy of educational managers, promoting the construction of educational management information and the establishment of a new teaching model based on it. This paper mainly adopts the method of literature analysis, questionnaire survey and educational statistics to study the teaching situation of website construction of 160 soprano students majoring in e-commerce in a university. After three months of teaching, the students' general performance has increased by about 6%. Based on this, I hope to provide some Suggestions for data teaching and professional development and improvement under the background of big data.

In the environment of big data and ethnic intelligence, there are new innovations in all walks of life, and various industries and fields have put forward higher requirements for talents. Especially in the emerging computer-related fields and industries, the requirements of various enterprises for computer professionals have gradually increased and increased. Revolutionary changes have taken place in computer education in universities. In this case, as an important place for training technical talents, universities need to effectively innovate and reform computer software teaching based on school-enterprise cooperation in order to train computer talents more suitable for the development needs of the era of big data and artificial intelligence. Therefore, the purpose of this article is to study the reform of computer software course teaching system in the context of big data and artificial intelligence. Conclusions are reached through data analysis, experimental research and other methods. The necessity of reforming the teaching system of computer software courses in universities under big data is analyzed. Then carry out analysis and research from teaching ideas, teaching content, curriculum evaluation and feedback adjustment, and resource construction. Experiments show that the reform of the computer software course teaching system accounts for 65.4% of the verification, and it is more applicable to students. The data in this article provides a reference for the reform of computer software course teaching system.

Personal income tax is a kind of tax that is generally collected by all countries in the world, and it is also one of the important sources of fiscal revenue in China. With the increasing diversity of people's income, there is a large tax gap under the same income. The purpose of this paper is to study the new personal tax collection management system based on artificial intelligence and its application in the middle class. This paper first introduces the meaning of personal income tax and the new content of the new personal income tax law, and studies the application of the new personal income tax collection system in the middle class. Then this paper studies the algorithm of SVM. Based on this theory, this paper designs and implements a new personal tax collection management system. The system is mainly divided into three functional modules: data source, risk identification, response and query statistics. In this paper, the performance of the system is tested, and the experimental results show that the system designed in this paper can meet the actual needs. When the number of concurrent transactions reaches 200, the average response time of the transaction does not exceed 3 seconds.

In the rapid economic development today, accelerating coal mining to ensure energy supply is an important guarantee for the healthy and stable development of the economy. Compared with underground mining, open-pit coal mine is of relatively low technical difficulty and mining cost. Through high-efficient, environment-friendly and energy-saving green mining of large complete sets of equipment, open-pit coal resources can be fully utilized. In order to improve the efficiency of open-pit coal mining, this paper studies the application of information technology in the management and maintenance of mining equipment in large open-pit mines. This paper builds an intelligent control model based on the study on strengthening the intellectualization of the complete set of semi-continuous mining equipment of 10,000-ton open-pit coal mine, so as to improve the operation efficiency and safety of the semi-continuous mining equipment of 10,000-ton open-pit coal mine through automatic detection, monitoring, protection and control of the mining equipment. The results show that the equipment management efficiency is improved by 42.12% after using the intelligent control model. This is conducive to improving the management efficiency and maintenance of mining equipment.

The era of big data brings us not only an opportunity given by the development of the era, but also a challenge. To improve Chinese citizens' quality of big data application is also an inevitable internal requirement for the social and economic development of various countries and regions in the era of big data economy. In the era of big data development, the security leakage of personal information has become more and more serious, which has aroused people's high attention and increasing concern. The purpose of this paper is to provide countermeasures and Suggestions for the reasonable protection of personal information by deeply analyzing the practical dilemma and solutions of the reasonable protection of personal information in the era of big data. In this paper, first of all, this paper expounds the dialectical nature of the current era of big data network information search on the personal information security in our country the major risks and opportunities for development, and the in-depth analysis of the current our country network information search security risk main origin, on the basis of focus from legal ideological cultivation, inspection du regulatory legislation, application technology and so on three aspects put forward to speed up the building of the personal information security management system in our country strategic thinking. And then comb through studying related literature review of network information security evaluation index system, using the evaluation index system of comprehensive level calculation analysis method for network actual weight of each evaluation index in the relationship between level computation, the result shows that composite reliability were greater than 0.7, which eventually concluded that a more reasonable and practical index system of network weight calculation.

The commodification of ethnic tourism culture is to show yourself to the whole country and even the world and enhance the self-confidence of ethnic minority people through the evaluation of tourist products by tourists. For example, a long time ago, our country was relatively excluded from foreign cultures and the reasons for exclusion were also superstitious. With the development of the times, China's economy has undergone changes and some valuable cultures in society have been re-mined. Especially now that the development of tourism has promoted the construction of China's economy, many ethnic cultures that are about to be lost are presented to people in the form of tourist commodities. They no longer regard ethnic culture as a backward material, but a symbol of excellent local culture. Therefore, it is extremely important to use computer technology to study its tourism development issues.

In recent years, with the development of science and technology, computer numerical control machining and mechanical mold manufacturing technology has also had a great development^[1].Higher requirements are put forward for mechanical die, such as structure complexity, profile complexity, material hardness and precision.In the mold manufacturing, the machine mold numerical control machining technology has the extremely important function.This paper analyzes the machining and manufacturing technology of machine mould by computer numerical control and its application in manufacturing.Finally, the development trend of CNC machining technology for mechanical die is analyzed.It is hoped that the research of this paper can promote the application of nc machining technology in die manufacturing industry.

The deflection of a bridge structure is a comprehensive reflection of the operating state of the beam body, and is an important indicator of the bearing capacity of the structure. Especially after heavy loading and speed increase, in order to ensure driving safety, the engineering management department must grasp the change law of the deflection of the beam body in time. There is an urgent need for a measuring instrument that is simple to operate, fast to install, highly practical, and convenient for measuring beam deflection. Based on the comparison of the four commonly used methods for beam deflection measurement in China, a scheme for deflection measurement based on CCD imaging processing technology based on computer BIM technology is proposed, and a bridge deflection measuring instrument is developed for field use. The comparative experiment of on-site bridge deflection measurement proves that the error between the measurement results of the instrument and the measurement results of the bridge deflection special instrument is only 3.0% to 6.9%, which meets the engineering requirements.

With the development of economy and computer technology, the development of rural tourism has entered a new stage.Make full use of the abundant natural resources and tourism location advantages, make full use of the abundant landscape tourism resources, profound historical deposits and rich cultural connotations, and make use of the computer modeling technology to plan the development and improve the tourism industry chain.The planning and design of lingquan valley ecological leisure park is based on the protection of ecological environment, rooted in agriculture, avoiding homogenization, and enriching the diversified development of rural tourism market with supporting projects.

With the continuous development of China's economy and the continuous improvement of people's living standards, people's demand for power energy is increasing, directly promoting the continuous expansion of China's power system construction. However, the increasing number and scale of transformer substations have also increased the complexity and difficulty of their maintenance work. In recent years, the auxiliary safety management system based on new communication technology has been put forward and applied, which has improved the safety level of transformer substation maintenance work to some extent and reduced the probability of related safety accidents. This paper will start with the existing problems in the process of transformer substation maintenance at this stage, and mainly discuss the auxiliary safety management system of maintenance and its application.

Achievement education (OBE) is a hot topic in college education research.It is an educational concept that organizes, implements and evaluates education based on students' expected learning outcomes.It is of great practical significance to study the teaching mode reform of higher financial accounting course under the concept of OBE.This paper first introduces the teaching connotation of "advanced financial accounting" under the OBE teaching mode, then analyzes the reconstruction of "advanced financial accounting" under the OBE teaching mode, and finally puts forward the reform strategy of "advanced financial accounting" teaching mode based on the OBE teaching concept.

With the continuous development and innovation of human artistic thinking, they have higher requirements for their own living environment. In this case, environmental art design has become a very important design subject. As a way of expression of environmental art design, effect drawing has been paid more and more attention. Environmental art design should be established on the basis of natural environment to determine its design commonality. It can not only protect people's physical and mental health and improve people's work efficiency, but also strengthen the artistry and practicability of the natural environment. Hand drawing and computer drawing have their own advantages and disadvantages. The combination of the two can make the environmental art thinking get the best expression.

After the Internet, the Internet of Things has become another innovative technology in recent years. In recent years, the Internet of Things technology has been applied to various industries, such as agricultural production, intelligent transportation, industrial production, etc., which also includes visual inspection of substations operating system. In the implementation of the Internet of Things visual inspection application system of the substation, the wireless data collection of the substation is a key part of the entire system. The system needs to use advanced wireless sensing technology, remote data transmission technology, Internet technology and other key technologies of the Internet of Things. Since the patrol inspection of substations in the domestic power system is still dominated by manual patrol inspection, due to the high intensity of the patrol inspection and the harsh operating environment, the work efficiency is insufficient. This article starts from the needs of the Internet of Things- based substation visual inspection application, integrates autonomous robots, sensor fusion technology, visual recognition technology and GPS positioning technology, builds a 24/7, all-round autonomous inspection visualization system, and initially achieves substation autonomy Patrol function. Secondly, it analyzes the principles of the autonomous robot inspection and visualization system, expounds infrared information collection and alarm functions, and analyzes a series of functions from information visualization and recognition to background operations. The research results show that the autonomous robot inspection visualization system can improve the inspection efficiency of the power station by more than 85%, and effectively reduce the strength and risk of workers.

In recent years, the development of computer technology, automation control technology and communication technology has provided new hardware and software support for the implementation of distribution network operation monitoring. In the daily production of the oil field, the reliability and stability of the power supply are the key links to ensure the completion of the production tasks of the oil field. This paper studies the problem of scene depth reconstruction in panoramic technology. On this basis, the panoramic depth map is combined with the panoramic image, and the three-dimensional panoramic characteristics are reconstructed from the visual and environmental aspects of the stereo perception model suitable for its performance. This paper develops an oilfield distribution network operation monitoring system based on stereo perception, and develops corresponding system management software. This paper first determines the mathematical model of the distribution network line loss calculation, and introduces the principle of GPRS technology to formulate a specific network plan for distribution network operation monitoring. Finally, based on the terminal data collection method of CDD-IDT / GPRS, the development of terminal system management software is finally completed. Field test results show that the stereoscopic perception-based oil field distribution network operation monitoring system developed in this paper has high accuracy of accident prediction, strong real-time performance, stable and reliable operation, and the average transmission time of each data in the stereoscopic perception based monitoring network transmission It is 1.88 seconds, which can be displayed immediately after pre-loading.

The orbital angular momentum state (OAM) of the photon can be theoretically evaluated from minus infinity to infinity, and the different orbital angular momentum states are orthogonal to each other. Therefore, in recent years, it has attracted wide attention from the academic circle and the industry. The purpose of this paper is to study the characteristics of single photon orbital angular momentum transfer based on information processing technology and to provide Suggestions for its technical optimization. Based on the characteristics of the angular momentum state of photon orbit, this paper studies its application and related problems in information processing and transmission. In this paper, quantum multiuser communication technology is studied, and a multiuser communication scheme based on photon orbital angular momentum state is proposed. The scheme takes advantage of the orthogonality of different orbital angular momentum states of the photon and assumes that the sender and receiver share a pair of entangled orbital angular momentum states. On this basis, the spatial light modulator is used to modulate it to the entangled photon of the sender, so that the sending photon carries all the user's information at the same time. Finally, the receiver accurately extracts the information of each sender by measuring the coincidence count and according to the specific receiving rules. Numerical simulation and experimental results show that the coincidence rate of different coding schemes is between 0 and 0.66, which proves the feasibility of the scheme.

Sports is an important measure proposed by our country to enhance people's physical fitness. In order to improve the overall level of aerobics in colleges and universities, it is necessary to strengthen aerobics teaching, analyze the current situation of aerobics teaching in colleges and universities, and make full preparations for improving the overall level of aerobics for college students. In the context of the era of big data, micro-courses, as a modern teaching method, have a broad application space in college aerobics teaching. This article takes the design and application of a miniature aerobics teaching platform under the background of big data as the research object. Use HowNet's keyword search method to find the application path of big data, aerobics and micro-teaching in universities. From the perspective of the main body of the system, teachers can make micro courses, and teachers can also arrange tasks for students so that students can integrate the corresponding knowledge content. Use the overall data concept to propose an online public course content optimization mechanism, sharing mechanism and talent training mechanism. Big data thinking provides a new perspective and ideas for the construction of aerobics online open courses. The purpose is to improve the teaching quality of aerobics courses and the quality of aerobics training.

The emergence of big data technology has brought about a breakthrough change in agricultural product marketing concepts. Through analysis of agricultural product marketing channels, it has been found that the traditional single agricultural product marketing channel has hindered the development of the agricultural product market, and there are still intermediate links in the diverse marketing channels. There are many problems, such as lack of brand awareness. Therefore, the Internet, big data technology and artificial intelligence technology are needed to promote the diversified development of agricultural product marketing subjects, agricultural product wholesale markets, agricultural product transaction methods, agricultural product logistics and agricultural product brand building.

Aerobics course among universities is one of the most popular physical education curriculums. Under the circumstance of the swift progress of educational big data, the building of network informationalization resource in the course of aerobics teaching in universities is still scarce, which currently couldn't satisfy the demands of students' learning. This paper proposed how big data could be employed to construct the web informationalization resources of aerobics, which provided theoretical reference for further optimizing the curriculum reform of aerobics in universities, making classroom teaching more modern, adapting it to the times, and promoting the enthusiasms and initiatives of contemporary universities students' learning.

Agricultural modernization is not only reflected in the agricultural technology, production equipment and development model, the more important embodiment is the development of the concept of modernization. To make scientific, rational and practical analysis and guidance on the whole process of agricultural production economy by means of information is helpful to the vigorous development of agriculture and related industries. The purpose of this paper is to provide better Suggestions and technical means for the rational planning of agricultural industry economy by analyzing the input and output of agricultural industry economic benefits based on big data and artificial intelligence. In this paper, the integrated use of big data and the method of artificial intelligence technology related theory, proposed from the perspective of scientific data organization architecture framework model for the evaluation of agricultural economic data, build data acquisition process model, put forward the multi-source, scattered repetition, flooded agricultural economic data resources for centralized framework for assessing analysis and solution. Finally, try in big data environment, respectively, from the dimension of the influence factors of agricultural economic data lifecycle dimension, service dimension three different dimensions explore implementation method, the results showed that the industrial economy in the process of running efficiency of the indicators were higher than 0.76, for the big data in the application of the agricultural economy provides a good example.

With the continuous progress of society and the continuous improvement of economic level, although there are more and more urban cultural and creative supplies, but the form is single, people are not satisfied with the product experience under the ordinary mode. Informatization brings value recognition in the aesthetics and emotional resonance of cultural and creative supplies design. At the same time, under the information ecology, consumers have produced new consumption concepts and consumption experience concepts. Cultural and creative supplies design requires more experience, so exploring the interactive experience of cultural and creative product design is crucial. Information technology, creative design and social innovation have also developed rapidly, and have become an important driving force of socialist innovation and sustainable development with the characteristics of the new era. This paper studies the construction of the following article design system for information technology. This paper uses theoretical research methods such as literature research and social network analysis to combine theory and practice to further enrich and improve the design and construction of information technology cultural and creative supplies.

Blockchain technology and Internet of Things technology are two new technologies formed in the current transmission of information technology. In the implementation of its technical control, it can scientifically control the information sharing work and realize the artificial adjustment of the transmission control of the Internet of Things technology. In this paper, research on the Internet of Things data sharing model based on block chain with a view to provide guidance to the security of Things data sharing technology under the block chain. In this paper, Hyperledger Fabric block chain platform-based platform, proposed a block-based chain of IOT data sharing model, security and data privacy is an enhancement, obtained by the performance of the test model. Throughput is maximized when the write transaction sending frequency is 100 TPS and the query transaction sending frequency is 250 TPS. The maximum write throughput is 60 TPS, which is better than Bitcoin and Ethereum on the public chain, which proves the feasibility of the model implementation. This model can achieve storage and sharing without the help of a third-party centralized organization, and directly establish trust between participants, which can ensure the safe sharing of data.

Nowadays with the rapid development of mobile terminal, mobile terminal almost completely replaced the various network of our traditional basic life mode, all kinds of network application, people no longer simply need to appreciate the music, games, film and television network, but more needs to be involved in information exchange and sharing all kinds of social activities. The research of 3d image visualization technology is a comprehensive advanced technology which focuses on computer image data processing and image information display. The research purpose of this paper is mainly to provide better Suggestions for the continuous optimization of 3d image visualization technology through the research and application of intelligent laser 3d image visualization technology in mobile APP. This paper mainly analyzes the development of 3d visualization technology in the main application fields and the current status of operation and maintenance system management technology of mobile terminal APP products, and visualizes the product operation and management status of various popular mobile apps on the mobile Internet in 3d. Then, from the current mobile online music APP the application domain of a system verification, the results succeeded in statistical analysis and filter the background user 3 d data volume, its operational efficiency than the daily operational efficiency increased by 30%, background proved that using 3 d data visualization technology can effectively improve the working efficiency of the system and the background, thus effectively improving the efficiency of background management.

In recent years, according to the rapid development and increasing application of artificial intelligence technology, the mechanical structure of modern CNC machine tools is becoming more and more complicated, and the automation level of CNC machine tools is constantly increasing. Research on a set of artificial intelligence-based CNC machine tool error monitoring model is of great significance to China's industrial development. This article is a more in-depth and systematic study of the health monitoring system of CNC machine tools, especially high-end (such as five-axis linkage) CNC machine tools, multi-source fusion technology that supports high-reliability maintenance decisions, and key components of CNC machine tools based on artificial intelligence Fault monitoring and early warning. Based on the artificial intelligence SOM neural network learning algorithm, this paper designs a rolling bearing fault monitoring and early warning model architecture, studies the multi-source data fusion method based on DS evidence theory, and proposes and implements a self-organizing feature mapping network fault monitoring algorithm and adaptive ARMA The fault early warning algorithm improves the calculation efficiency of the rolling bearing monitoring diagnosis and early warning under the premise of ensuring accuracy. The experimental results show that when the sampling value is greater than 980 groups, the degradation value increases more until the bearing is in a failure state.

In the mid-1990s, the ground laser scanning technology based on B / S architecture began to be widely used in modeling various complex scenes and spatial entities. The massive point cloud data based on the B / S architecture collected by this technology is an important source of information in the three-dimensional space coordinate system, and plays an important role in marine survey, geographic information system, and digital city construction. To this end, how to use the existing computer processing capabilities to efficiently organize and index massive point cloud data and more quickly and accurately complete the three-dimensional visualization modeling of point cloud data has become an important research topic. This paper proposes a "Hilbert-Improved Quadtree" structure to organize point cloud data. In this structure, the node order of the improved quadtree is changed, so that the node order obtained by traversing the quadtree in the middle order completely conforms to the characteristics of the Hilbert curve. Reorganizing the point cloud data based on the B / S architecture in this order can effectively reduce the number of I / O interactions performed by the computer when reading massive point cloud data based on the B / S architecture, and improve the spatial index efficiency of the point cloud data; At the same time, the Hilbert curve is used to reorganize the quadtree to convert single-resolution data into multi-resolution data. At the end of this paper, how to use existing computer resources to more efficiently process massive point cloud data based on B / S architecture Outlook.

Ion technology on people's work and life is increasing, and people's thinking and behavior have also changed greatly. In this context, the integration of information technology and ideological and political education has gradually become an inevitable development of education and teaching. But it also brings unprecedented challenges to ideological and political education in colleges. Focusing on the goal of encouraging ideological and political work with information technology, enhancing the sense of the times and attractiveness, actively exploring the use of information technology to promote the development of ideological and political work, research and innovation. Using modern information technology to support ideological and political education, this new carrier promotes The innovation of ideological and political methods is an important and urgent practical issue. In order to promote the development of political education, this article will use information technology to study the distance teaching platform of ideological and political education. The platform is designed using Web technology. Questionnaire surveys and interview methods An empirical study was conducted in combination. It went deep into schools and colleges, and worked with students and school ideological and political workers. A total of 980 questionnaires were collected. The experimental results show that the choice of ideological and political distance teaching platform can reach 84.3% of students. Therefore, through the research in this paper, a targeted distance learning management system is designed, which can provide reference and help for network distance learning.

Nowadays, with the continuous development of China's economy, it promotes the continuous progress of electric power enterprises. However, in electric power enterprises, electrical engineering and automation play a very important role. Through the rational application of this technology, it can promote the rapid and stable progress of China's electric power enterprises. Therefore, in this paper, This paper mainly analyzes the development of power system automation under the electrical engineering and automation technology, and then puts forward the following contents, hoping to provide the corresponding reference value to the staff of the same industry. In this paper, based on the investigation and analysis of the current situation of intelligent power system based on electrical engineering technology, the introduction and application of electrical engineering technology is completed based on the demand of intelligent power system. On this basis, the intelligent power system based on electrical engineering technology is successfully established. Based on a large group of perceptible terminal equipment, the system can complete all kinds of data collection, and send to the upper application by using different network communication modes for intelligent management and analysis. The experimental results show that it can promote the level of intelligence in the power system by about 20%.

Choosing a career is an important choice in every student's life, and it is particularly important to evaluate the development of vocational education for students.However, many students today do not have a clear positioning, do not know themselves clearly, do not know what their appropriate work, unable to make a suitable career development plan, thus facing greater employment pressure. Based on this, this paper introduces the development of a professional psychological assessment system for students, which can help students better understand their own interests, personality and professional ability tendency through scientific professional psychological tests, so that teachers can more accurately evaluate students' development ability and psychology. Based on the analysis of the existing vocational assessment software, the system improves a series of defects such as inflexible report form and incomplete functional modules. In addition, the reliability and validity of the selected scale were analyzed by retest method in this paper. The Pearson plot correlation coefficient basically met the requirements of 0.6∼0.8, with an interest of 0.66, a personality of 0.71 and a personality of 0.79, indicating that the measurement content of this system has a high reliability and relevance validity.

China is known as the "land of etiquette". The children of the Chinese nation pay attention to etiquette and regard etiquette as an excellent traditional virtue. There are many excellent etiquette models in ancient times. In the current background of diversified development, all kinds of bad ideological trends erode college students, which is not conducive to the development of a harmonious society. College students stepping into the workplace, etiquette training is an important part of employing units to judge their professional qualities. In the current development background of the times, we need to pay more attention to the value of modern etiquette education and quality education of college students in order to improve the professional quality of college students. Therefore, this article starts to study the integration of professional etiquette in modern etiquette under the background of big data. This article combines comparative analysis, experimental methods and questionnaires, and understands the modernity of big data in the context of comparative data and questionnaires. The status of research on professional literacy of university students in etiquette education includes positive aspects and negative aspects. Among them, the positive aspect has a high recognition of etiquette status, accounting for about 65%, the willingness to learn etiquette is about 52%, and the importance of personal instrumentation About 72%, while the negative part includes: lack of etiquette knowledge accounted for 56%, etiquette emotional indifference 31%, etiquette value utility 42%, 67% disconnected etiquette behavior and cognition and public etiquette irregularities accounted for 53%, By analyzing these phenomena and then sorting out the importance of modern etiquette education for college students'professional literacy and the effective integration strategy of modern etiquette education and college student's professional literacy education, finally, an experimental comparison is made according to the strategies studied in this paper, and the experimental strategies are verified by comparative experiments Effectiveness, this article is based on the education of modern etiquette in the context of big data Fusion research student professionalism is of great reference value for the Cultivation of the College Students' talents.

The rapid development of modern information economy and the ups and downs of mass entrepreneurship have put forward higher requirements for innovation and entrepreneurship education. In view of the current situation and shortcomings of innovation and entrepreneurship education, a virtual city system based on virtual reality technology is proposed as a practical training platform for college students' innovation and entrepreneurship. The platform provides basic functions such as resource supply, production, management, and consulting services. College students, as citizens of a virtual city, engage in various creative, production, and management activities. Teachers guide college students' innovation and entrepreneurship activities in accordance with the goals of urban development. Based on this, a series of courses have been developed to systematically train university students' innovative and entrepreneurial abilities. This paper mainly studies the simulation system of college students' innovation and entrepreneurship based on virtual reality technology. This article has conducted simulation research on virtual reality innovation and entrepreneurship of Chinese college students, and conducted data surveys. The amount of science and technology talent introduction and cultivation has increased, but the growth rate is slow and the number of R & D personnel is relatively small. There are 700,000 technical personnel, including 9,000 scientific and technological activity personnel, and only 7,000 R & D personnel. By 2019, the number will increase to 980,000 professional and technical personnel, 198,000 scientific and technological activity personnel, and 150,000 research and development personnel. However, the overall growth rate has slowed down, and the number of R & D personnel has been relatively small.

In the era of big data, individual small data is aggregated into big data through various network interconnections. Big data has the characteristics of large volume, many types, and fast speed. More and more information is contained in it. Massive data resources and mature The data value mined by the big data analysis method can provide more powerful decision support for enterprises in the product development and design process. Based on this, this paper analyses the application of big data analysis in product R & D design decision. This paper conducts research through a combination of literature review method and experimental comparison method, and summarizes relevant domestic and foreign literature data. It is found that big data analysis solves product development. For user needs and experience, data sources are more accurate and convenient. Through the comparison of the experiments of two companies in a certain area, it is concluded that companies that use big data analysis for product R & D and design have more advantages. Their advantages are as follows: the systemization of R & D and design has increased by 70.0%, and the efficiency has increased by 93.3%. Collaboration The aspect has increased by 55.4%, and the cost has been reduced by 58.3%. The research results of this paper show that big data analysis has played an important role in product R & D and design decisions.

With the continuous development of network information technology, the process of social informatization is further accelerated, information transmission and exchange between different regions is more convenient, and people's demand for information is further met. At the same time, with the continuous advancement of media technology, new media has gradually emerged, becoming the main force of social media and playing an important role in people's daily lives. The purpose of this article is to study the interaction between artificial intelligence and new media based on social information. This article explains the meaning of new media from the narrow and broad perspectives, and introduces the characteristics of new media; then the interaction between new media based on artificial intelligence and social informatization is studied from both positive and negative effects. In the experimental part, this paper adopts the questionnaire method and uses 472 valid questionnaires as the data basis to count the respondents' awareness of the interaction between new media based on artificial intelligence and social information. The statistical result is that only 31.8% think that the degree of mutual influence is very deep. This article also puts forward suggestions to promote the mutual development of new media based on artificial intelligence and social informatization.

With the increasing permeability of distributed generation in power system, the problem of weak inertia of distributed generators cannot be ignored. By imitating the mechanical and electromagnetic characteristics of the synchronous generator, the virtual synchronous generator (VSG) has the ability of smooth power output, peak regulation and frequency modulation, and becomes a kind of grid-friendly distributed power supply. However, the traditional VSG coordinates the balance of power supply and demand through the energy storage device (ES), which requires a high capacity of ES. In this paper, a control strategy of VSG considering coordinated energy management of ES and PV is proposed. Through real-time analysis of VSG's power output and the state of ES and PV, dynamic adjustment of power output of PV and virtual characteristics of VSG will be made to realize the coordinated control of PV and ES. This strategy effectively improves the dependence of VSG on ES's capacity by giving priority to the adjustment of PV's power and asymmetric control of ES's SOC.

Through research on network traffic in recent years, it is found that actual network traffic not only has long correlation but also has heavy-tailed characteristics. The Alpha stable distribution provides a very useful theoretical tool for such processes. According to the nature of the Alpha stable distribution, we need to improve the relevant parameter value method of the Fractional Autoregressive Integrated Moving Average model and improve the prediction accuracy of the model. In this paper, the Alpha stable distribution based Fractional Autoregressive Integrated Moving Average modelling method is introduced, and the validation of the method is analyzed using Fractional Gaussian Noise time series and impulse noise corrupted Fractional Gaussian Noise time series. Finally, the Alpha stable distribution based Fractional Autoregressive Integrated Moving Average model is applied to BC-p Aug89.TL data provided by Bell Labs. The analysis shows that the improved Fractional Autoregressive Integrated Moving Average model has a better prediction effect on actual network traffic and is a more representative research method.

Dynamic Hurst parameter estimation is very important in the data filtering and system modelling. It is difficult to accurately estimate the dynamic Hurst parameter of long memory processes. In this research, a generalized exponential window function based dynamic Hurst parameter estimation method is provided, and the effective performance of the method is analyzed using fractional Gaussian noise. In the end of this paper, the application of revised estimation method in sleeping electroencephalogram signal is given. The simulation and sleeping electroencephalogram signal analysis results show that the revised estimation method can effectively analyze the random signals with local correlation characteristics. This method can be widely used in biomedical signal analysis, network traffic analysis, vibration signal analysis, statistical data analysis, etc.

The purpose of this paper is to solve the problem that small reservoirs in hilly areas are located according to the terrain characteristics. According to the terrain height difference characteristics in hilly areas, Newton method is proposed to solve this problem, Newton method has basic Newton method and damping Newton method, both of which search in the given search direction, find the extreme value of the function, and construct the search function through Hessian matrix and negative gradient of the function, Calculate the next iteration point. The following iteration point is the initial point. Continue to calculate the next iteration point until the condition of extreme point is met. The iteration point is the extreme point. This method has fast iteration speed and accurate location. The accuracy of Newton's method is verified by simulation data.

Nowadays, the Internet provides a strong technical support for the construction and development of smart home.Smart home sets the user's living environment as the central platform, and USES many technologies such as Internet of things, radio frequency identification, etc., to practice the unification, intelligent management and regulation of all indoor household appliances, which has obviously improved people's living quality and created convenient conditions for users to manage household appliances.Under the pressure of high technology, the current smart home products on the market are of various types, diverse functions, each has its own advantages, most of the products are mainly used to regulate the switch quantity, analog quantity control involved in the degree of insufficient, unable to achieve the indoor lighting degree of fast and accurate regulation.This paper mainly develops a remote control system based on Android mobile terminal, and explores the specific method for the system to control the brightness of smart home lamps, so as to further improve the level of intelligence of smart home and the satisfaction of residents.

In today's society, data resources have become strategic resources as important as material resources, energy resources and human resources, which is the embodiment of a country's digital subject and comprehensive national strength. The purpose of this paper is to study the application of artificial intelligence in the field of agriculture. It is of great practical significance and practical value for promoting the transformation and upgrading of traditional agriculture and promoting the development of intelligent agriculture. Based on the characteristics of the agricultural field, this paper defines intelligent agriculture, analyzes the process of intelligent agriculture, designs the general framework of agricultural technology, and thinks about the technical route of the development of intelligent agriculture. Then, based on the process theory, the application of acquisition technology, management technology and processing technology in the agricultural field is studied and discussed with specific examples. The results show that the processing rate of large production data is improved by 92.1%. Based on the experimental results, this paper puts forward some opinions on the development of intelligent agriculture, which can provide reference and basis for further promoting the application of artificial intelligence technology in agriculture.

From 2020 to 2025, the market value of artificial intelligence in the clothing sector will reach us $47 billion to us $300 billion, a 600% improvement rate, according to a study by the world Internet center. When it comes to the best developing industry in the future, artificial intelligence and big data will be regarded as the best developing business opportunities. The purpose of this paper is to explore how to improve the connotation and attractiveness of the clothing design industry and stimulate more potential of clothing consumption under the excellent business environment. The research of this paper is based on the creation status of domestic fashion designers and makes full use of artificial intelligence technology to design and construct effective customer preference data, which is based on data and supports the creation inspiration of design. The research results of this paper show that in the process of clothing design, users' preference data should be combined to dig out design innovation points. Only by classifying the sources of inspiration and providing theoretical basis for design through in-depth research on dimensional visualization, can the inspiration of fashion design innovation be inspired.

Cloud computing not only reflects the progress and pioneering technology, but also reflects the pioneering of the traditional management model. Cloud computing model has been applied in the management of all walks of life and also played an important role in the innovation of government function management. The purpose of this paper is to optimize the cloud computing model in the government function management through relevant research. This article first to the functions of the government management and the concept of cloud computing model is analyzed, and then with the help of a cloud computing model applied in the functions of the government management of investigation and experiment, analyzes the cloud computing at the main problems existing in the functions of the government management applications, and based on this, advances some solving strategies to promote cloud computing model with good combination of the functions of the government management. The experimental results show that the fit degree between the cloud computing model and the government function management is only 71.24%, and the actual application effect is only 65.13%. Compared with the traditional method, the efficiency of the government function management under the cloud computing model is only 17% higher.

Hybrid teaching is widely used in colleges and universities in the network teaching platform, can effectively make up for the shortcomings of traditional classroom teaching in colleges and universities at present, but because of the network teaching lack of the guidance of system theory and teaching practice, teaching in colleges and universities network platform will inevitably be in the application of some technical problems, so you need to take the design of the new teaching system. The purpose of this paper is to design a mixed online and offline teaching system based on network information technology, and to provide technical Suggestions for the optimization of mixed teaching methods. This paper designs a hybrid teaching system based on information technology and conducts an empirical study through teaching experiment. The experimental subjects were sophomores in a certain university, and two classes were randomly selected for the teaching experiment. The results showed that the students in the experimental group generally had a high evaluation on the teaching platform, and 93.1% of the students thought the teaching system was very useful. From the results, the design of the new system can help improve the online and offline hybrid teaching system.

The era of big data brings together a wealth of rich information resources, bringing unprecedented innovation power, opportunities and possibilities to all walks of life, and promoting the development and evolution of the era. In the current development process of college student associations, to implement scientific and effective talent management, big data technology must be introduced to assist the management of student associations. Make full use of big data technology as the most basic strategic resource and effective means to transform the management of student associations from static and result-based management to dynamic and process-oriented. This article starts from the concept of big data, combines the definition and characteristics of college student associations, uses survey research methods, literature research methods, and comparative analysis methods, and issues a questionnaire on "Student Association Management and Association Activity Survey". A special investigation, analysis and sorting of the activities carried out were carried out. Among them, the efficiency of resource sharing in student club management is relatively low, accounting for 52.35%. The application strategies of big data are studied from the aspects of student club management system, club evaluation mechanism, student activity needs, community resource sharing and intercommunication.

With the improvement of living standard, people are becoming more and more interested in traveling, especially to visit wild animals. How to analyze the tourism experience of tourists visiting wild animals has become a research hot spot. The text comments left by tourists on the Internet can provide relevant information, so it is essential to carry out the research on the tourism experience of wild animals based on the text analysis on the Internet. The purpose of this paper is to solve the problem on how to understand the tourism wild animals after the visit of the tourism experience problems, by studying the current common network text analysis method, the tourists leave comments on the Internet information extraction, using relevant software comprehensive analysis of relevant information, using content analysis and qualitative analysis of a combination of both sexual themes, on how to analyze tourism personnel to visit wildlife tourism experience has carried on the detailed analysis and research. The tourism experience of wildlife tourists is analyzed in detail and accurately. The results show that the core themes of wildlife tourism experience are tourists, destinations and wildlife. When tourists visit wild animals, they are more likely to take photos and get close contact with them. They are closer to wild animals and interact with them more, which means that tourists are more satisfied with their tourism experience. This web-based text analysis method is 20% more efficient than traditional methods such as questionnaires.

With the in-depth promotion of electric energy substitution and the rapid development of grid informationization, the building of systematic and integrated electric energy substitution effect improvement and business expansion support software becomes an important means to further optimize the electric energy consumption management level and realize the overall improvement of electric energy utilization efficiency. This paper introduces the design idea of this software, shows the layer structure of the platform, describes the relationships among all layers, analyzes the key technologies of the system, and researches and designs the general architecture and function modules. This platform provides the strong technical support for the state to promote the lean management of electric energy substitution and for the State Grid to develop the building of electric energy substitution service system.

For an integrated energy system (IES) with demand-side response capabilities, both the production of chilled water, hot water, electricity, and steam can be changed by adjusting the output of various energy conversion equipment, and various energy products can be adjusted through the demand-side management. The change of energy conversion equipment operation and demand response measures implementation are all need costs. Integrated optimization of the production side and demand side of energy products such as cold, heat, electricity, and steam have the potential to reduce the total energy cost of IES. To this end, this article combines cases to establish a mathematical model for the various types of energy production and demand response costs of cold and heat electricity, with the goal of minimizing the overall cost of energy supply and use as a comprehensive control and optimization of energy supply and demand in IES. The results show that compared with simply adjusting the output of energy stations, the coordinated regulation of energy production and demand side of the integrated energy system has the potential to further reduce the cost of integrated energy supply and utilization system.

Multiple energy system could meet the needs of the user through different energy conversion ways. So if the load level is constant, the operating state of energy system could be different to meet different demand. By the analysis of energy flow of system, it can be known that the degrees of freedom come from the dispatch point of energy flow. Therefore, the dispatch factors and the input energy flows could be considered as the independent variables, and make a comprehensive evaluation criterion which considered the energy efficiency, economy and emission, as the optimization goal. The operation of the multi-energy flow system has been optimized. Through case analysis, the proposed optimal energy flow operation strategy was verified and analysed.

So far, many problems of the primitive exponent of traditional single nonnegative matrix have been resolved. Currently, pushing traditional single nonnegative matrix to matrix pairs which have relatively application in many areas such as information science, communication networks, computer science, is a new trend. According to correspondence relation, two-colored digraphs can be used to solve matrix problems. We consider the uncolored digraph of two-colored digraph has vertices and none non-common arc. The range of exponents and extremal two-colored digraphs are given.

Currently, public cultural services are mainly provided by the government, there is a contradiction between supply and demand. Use the "Internet +" innovation-driven thinking to establish a demand-centric innovation mechanism for public cultural supply, rely on big data, cloud computing, information technology, cloud sharing and mobile Internet to build a public cultural Internet service platform, forming "Internet + "Public cultural services" resource information sharing model, innovate the supply of public culture, enrich the content of public cultural services, encourage social forces to participate in cultural construction, at the same time focus on the integration of science and technology, effectively meet the public cultural needs, solve the contradiction between supply and demand in public cultural services.

In the era of innovative big data, empirical data analysis can bring certain inspiration to firms. Based on the upper echelon theory and resource-based view, with the first-hand data of 220 entrepreneurship enterprises in Shanghai, the relationship among entrepreneurial orientation, the ability of external resource acquisition (Operational resource and Intellectual resource) and performance of new enterprises was deeply explored. Results show that the entrepreneurial orientation, external operational resource acquisition are significantly related to the start-up performance respectively. Besides, external operational resource acquisition has a partial intermediary effect between entrepreneurial orientation and firm performance while external intellectual resource does not have the same effect. However, external intellectual resource acquisition positively moderates the relationship between operational resources acquisition and start-up performance as well as the relationship between entrepreneurial orientation and start-up performance.

In order to shorten the response time of surface ships to air combat, improve the efficiency of surface ships' combat command, and optimize the air combat deployment, a time window index was introduced to model and analyze the time performance of surface ships to air combat deployment. This model used the optimization techniques of fuzzy mathematics and dynamic programming to find the critical path of air combat deployment design. Considering the time urgency of the incoming target, the operational efficiency of the two air combat deployment design modes is compared and verified by taking the priority fire resistance and our minimum resources as the objective function. The simulation results show that the air-to-air combat deployment optimization technology based on time window can effectively simplify the air-to-air combat process and improve the command efficiency.

Aiming at targets in joint fire fighting importance measure accuracy and timeliness of the problem, analyzing the characteristics of joint fire operations and the demand of the important target sequence optimization, based on grey target decision is established on the basis of the sequential hierarchical ordering model, is used to solve the problem of timing target importance. Based on the classification of the combat target system, this model reasonably sets the time series target index weight, and combines the main characteristics of each stage of the joint fire attack, proposes the model algorithm of the classification of the target system. Simulation verification was carried out according to the 6 types of targets of joint fire strike. Simulation results show that the scheduling optimization model based on grey target decision can meet the requirements of real-time operations.

A wireless charging intelligent car is designed and manufactured. It includes a set of wireless charging device. The car chassis is equipped with a wireless charging receiving device. The super capacitor is used as the energy storage device to receive the electric energy from the transmitting device. The fine wire is used as the guide track, and the capacitance sensor is used to detect the trace of the fine wire. The test results show that the car can charge and drive automatically.

This paper mainly describes and analyzes the common network models of deep learning. By comparing the existing network structure in the industry, this paper focuses on the static gesture recognition algorithm based on the residual network resnet50. In this paper, we choose the depth residual network resnet50 to realize the gesture control of web browser, and apply the gesture recognition method proposed in this paper.

Aiming at the low-carbon scheduling problem of flexible job shop, the carbon emission and key scheduling objectives of machining system are studied. Firstly, the carbon emissions directly generated by machines and indirectly generated by waste treatment are considered in the calculation of carbon emissions, and then a multi-objective optimization model is established with completion time, total machine load and carbon emissions as the objective function; secondly, the hybrid algorithm of genetic variable neighborhood is designed to solve the optimization model, and the completion time, total machine load. Finally, the production example is simulated in Matlab environment. The experimental results show that the multi-objective scheduling model is feasible and effective. According to the production situation of the workshop, the producer can allocate the weight of each objective, and reduce the carbon emissions in the production process on the premise of ensuring the balance of the completion time and equipment utilization.

With the development of automation and intelligence in manufacturing industry, industrial robots have become an important part of intelligent chemical plants. In practical application, all functions implemented are realized by manipulator. Facts have proved that reasonable path planning for the manipulator is helpful to reduce the loss and impact of mechanical parts during operation, greatly improve the service life of the manipulator, and also help to improve the control accuracy of the manipulator of the robot. In this paper, the six-degree-of-freedom manipulator is taken as the research object, and the motion path planning scheme of the manipulator is designed, which is verified by PVDF material grabbing simulation experiments. The results show that the motion path of the manipulator designed in this paper takes less time than the shortest path to grab materials, and the operation accuracy is higher.

Given the shortcomings of traditional multinomial naive Bayesian model, an improved multinomial Bayesian model based on feature weighting is first proposed. Second, in the weight setting of the model's feature selection items, the TF-IDF algorithm does not consider the distribution of feature items between and within classes, and a range of factors related to word distribution is proposed such as intra-class factors, inter-class factors, document set factors, and normalization factors, then an improved TF-IDF weighting algorithm is put forward. Finally, combined with the case of consumer product safety, the effectiveness and feasibility of the proposed model and algorithm are verified.

In the context of the current big data era, the conventional classroom teaching is inadequate for the demand of computer application courses in higher vocational education. The way to reform the teaching mode, teaching method and teaching resources, and to integrate big data technology into computer application course teaching is explored, in order to train and educate talents at the demand of the developing times.

Based on the research of Internet of things, agricultural intelligent management system was proposed based on Aliyun IoT platform and STM32.Through the ZigBee wireless sensor technology to complete the data transmission function of each sensor by ESP8266 and the MQTT protocol complete STM32 access connection function of Aliyun IoT platform, through the cloud database RDS complete data storage function, and implements the Web visual development and system supporting Android APP development. A set of agricultural automation intelligent management system, which is portable, small and suitable for farmers' consumption demand, has been developed.

Due to complexity of retinal fundus images, they are usually affected with noise and lighting during image acquisition. It brings difficulty to segment retinal vessels accurately, so accurate retinal vessel segmentation is still a challenging task in fundus images analysis. Five kinds of typical retinal vessel segmentation methods are briefly introduced in this paper, which are based on thresholding, matched filtering, mathematical morphology, tracking, and deep learning. Each method has its own characteristics. The experiment results show that the method based on deep learning is the best segmentation method among them, which can effectively assist doctors to detect and diagnose cardiovascular and ophthalmic diseases in early stage, and provide the decision support for ophthalmic disease computer-aided diagnosis and establishment of large-scale screening system.

This paper compares common image recognition technology, introduces three image recognition and classification technologies, and explains the most popular deep learning image recognition algorithm based on CNN in detail. As a new method of ANN, CNN combines ANN and deep learning technology. In the area of image recognition, the advantage of CNN is particularly prominent. Compared with the traditional image processing algorithm, CNN has higher recognition accuracy and speed, and can directly process the original image to avoid the complicated pre-processing image data. CNN is the first choice for image recognition.

Based on the discussion of the contemporary design and inheritance protection of arts and crafts, and the influence of artificial intelligence(hereinafter referred to as AI) on arts and crafts, this paper makes clear the integration of the two in the historical period of the epoch development and the scientific progress of arts and crafts. From design re-engineering to educational innovation, it promotes the extension of the value and innovative mechanism of arts and crafts, so as to realize its sustainable development in the AI environment.

In this paper, 8 cities in the "1+8" urban circle of Wuhan were taken as research objects to construct the evaluation system of regional logistics competitiveness. Based on relevant data in 2017, the competitiveness of regional logistics in 8 cities was compared by factor analysis. Based on cluster analysis, the development level of regional logistics in the 8 cities was revealed. Finally, we put forward several suggestions to improve regional logistics competitiveness for the 8 different cities.

This paper first analyzes the army equipment storage-supply mode and the deficiency of the existing problems to be solved, and then at the army information integration based on the existing study, further study of the guarantee of equipment and supplies, for equipment guarantee model for scientific and reasonable planning, this paper proposes a new equipment storage-supply model, mainly divided into reserve mode and supply mode, for the equipment security reform provides a new way of thinking.

This paper aims at revealing the hydraulic fracturing effect of hydrodynamic influencing factors of fracturing fluid by laboratory experiments. The experimental design for huge number of hydrodynamic influencing factors with many levels, is oftentimes incorporated with the conventional methods, i.e. Based on the PKN model, injection rate, viscosity, and density (of the fracturing fluid) and their parameter values (levels) were considered for the construction of an optimal mixed-level design table U* 12(4³×6), which constructed the optimization scheme. The experiments results were subjected to multiple regression analysis to establish optimal fitting formulas for the relationship of single factor or multi-factor with rock fracturing value. Compared with other experimental designs, experimental number of U* 12(4³×6) yielded only half the number of experiments in the orthogonal design L₂₄(4³×6) and presented better distribution uniformity of experimental points than Ui₂(4³×6). This paper provides a fast and effective experimental scheme for the effect analysis, as well as a substantially accurate method for in-situ stress measurement.

E-learning and online instructions of higher education play a key role in no suspension of learning and no suspension of teaching during the 2019 Novel Coronavirus Diseases (COVID-19) Epidemic. This study summarizes the responses from online instructors and analyzes the difficulties and solutions of the online learning and instructions. The results indicate that although most instructors try to prepare the contents of instructions well, however, it is still not an easy way to monitor and change the students' learning behaviors in such a short term. We outline implications for practice and ideas for future research. The results could be used to serve as a benchmark for comparing levels of online learning and identify the main difficulties of online instructors during the outbreak circumstances of the COVID-19.

The development and application of the digital model database of insects has an academic and also practical value. To find a proper way of building 3D Virtual Reality Insect Model, we briefly studied the application in different fields of digital modeling technology and points out that artificial modeling technology is suitable for the 3D virtual insect data model. We also discuss the pipeline of making digital model database of insects and take an example of constructing digital model on bark beetle, Ips typographus L.

In the work of promoting vocational planning education and consultation in colleges and universities, there are some problems, such as fewer teachers and more students, will make it difficult to complete the consultation for all students in a limited time. Focusing this problem, this paper makes a research on consulting scheduling of vocational planning in colleges and universities based on an improved genetic algorithms (IGA). Firstly, an improved genetic algorithm (IGA) is proposed in combination with the characteristics of the problem, which can realize the full coverage of the student consultation as soon as possible under the reasonable consideration of the workload and consultation time of the consultation teacher. The problem is coded by double-string method, different genetic operators are used for different characteristics of the string, and enhanced search operation is introduced to strengthen the optimal individual in the population. The results show that the IGA is more accurate and stable than the traditional genetic algorithm for promoting vocational planning education and consultation. The effectiveness of the improved strategy is verified by a simulation test. It is a feasible and reasonable scheduling algorithm for allocating consultation resources.

With the rapid development and evolution of network information technology and 'we media', individuals have realized that "everyone is a communicator." Individuals expose their lives to the public's vision through the Internet, and realize the publicization of personal space. During the epidemic, Chinese people were enclosed in the private activity space of the family. The epidemic-related information was transmitted to the general public through various media to create a personal information space for the public. The public personal information space presents new characteristics. Into a new research topic.

The purpose of this paper is to select 35 emerging economies from Asian, European, Latin American and African regions as the research objects and use GDP and population data of the years from 1990-2016 to calculate the intragroup Theil indexes within the four individual regions, the interblock Theil index among the four regions, the total Theil index among the emerging economies, then the contribution of intragroup and interblock gap to the total gap in order to measure the economic growth differentiation of the emerging economies. The results indicate that the decreasing total Theil index and the interblock Theil indexes reflect the narrowing trend of output per capita among the emerging economies and among the four regions, the intragroup Theil indexes within the four individual regions that are all lower than Asian region reflect that the gap of output per capita in the Asian region is larger than the other 3 regions; according to the contribution rate, the total gap of output per capita among the emerging economies is mainly affected by the gap among the four regions and the Asian region. It can be concluded that the economic growth differentiation is embodied mainly in the gap among the four regions and in the gap among the Asian economic economies.

In order to quantitatively analyze the relationship between intelligent distribution path selection and logistics economic development and promote the development of logistics economy, an optimization model of intelligent logistics shortest distribution path selection is proposed. This paper analyzes the statistical characteristics of intelligent distribution path selection to the development of logistics economy, adopts the shortest path optimization method to select the intelligent distribution path, constructs the big data statistical analysis model of intelligent distribution path selection and logistics economic development by using quantitative regression analysis method, analyzes the development factors of logistics economy by intelligent distribution path selection combined with multiple linear fusion method, and combines the fuzzy constraint control method. Realize the optimization of logistics intelligent distribution path. According to optimization The distribution effect is modeled by statistical analysis of logistics economic development, and the quantitative relationship between intelligent distribution path selection technology and logistics economic development is analyzed. The results of empirical analysis show that the intelligent distribution path selection has a significant level to the development of logistics economy. This method has good optimization for logistics distribution path selection, improves logistics throughput and promotes the development of logistics economy.

Aiming at the problem of identifying the poor students in colleges, based on the improved classification imbalance, this paper proposes to establish the AdaBoost algorithm integrated learning model for the first time to solve the problem of identifying the poor students in colleges. In this model, decision tree is used as weak learner, and principal component analysis algorithm and balance cascade algorithm are used to reduce dimension and undersampling data. At the same time, the paper focuses on the comparison of the algorithms that choose the effect of sample set classification as the weight(SAMME.R) and the size of the prediction probability of sample set classification as the weight(SAMME). Experiments have proved that the AdaBoost ensemble learning algorithm model is better than the single classifier algorithm in predicting the results, which can ensure the fairness and objectivity of the recognition results, and has a strong application value for the recognition of poor students in colleges.

Binocular stereo matching is a hot topic in 3D reconstruction, target detection and target tracking. Through experiments, this paper analyzes and compares several classic binocular stereo matching algorithms, and finally selects SGBM with good comprehensive performance. Moreover, based on this, it gets accurate window size parameters through experiments, which provides a basis for the following 3D modeling.

In this study, by using descriptive statistical analysis and the method of setting up multiple study areas for comparison, with the help of high spatial resolution remote sensing interpretation data, the spatial distribution characteristics of land use in the study areas of World Heritage occurrence environment are studied. The results show that: (1) the mean value of each occurrence environment of Hailongdun World Heritage site is small, the degree of patch fragmentation is large, and the corresponding standard deviation is large, which is caused by the large difference of patch size. (2) The area of residential land, industrial and mining storage land, special land, cultivated land and forest land in Hailongdun World Heritage site is increasing from the core area, buffer area, Hailongdun village to the village boundary, which is in direct proportion to the area change of each environment.

In order to objectively reflect the development status and hotspots of foreign consumers'online purchase intention research, this article uses the core journal literature included in the core collection retrieval platform SSCI database of WOS as the data source, and uses Citespace software to visualize the research results of foreign consumers' online purchase intention analysis. The study found that foreign consumers'online purchase intention research focuses on hot topics such as trust, consumer behavior, information systems, and e-commerce models, focusing on cutting-edge content such as online shopping product development and e-commerce marketing models.

In order to objectively reflect the development status and hotspots of research on consumers' online shopping willingness, this article uses the relevant literature included in CSSCI as a data source, and uses Citespace software to visually analyze research results related to consumers' online shopping willingness. The main authors and institutions, research hotspots and the frontiers of the context are discussed. It is found that the research on consumers' online shopping willingness is currently in the development stage, which mainly focuses on the hot topics such as perceived risk, perceived value, trust, and on the cutting-edge content such as online shopping willingness of fresh produce and e-commerce marketing models.

The protection of tourism resources is an important prerequisite for the sustainable development of the tourism industry, and it is gradually valued by market participants and their government management. This article proposes five tourism resource protection models based on the tourism resource protection subject and tourism product pricing mechanism, and compares and analyzes the tourism resource stocks and social welfare levels under the five tourism resource protection models through numerical simulation methods. Research shows that both private governance and government governance monopoly pricing mechanisms are superior to fully competitive pricing mechanisms, and the proportion of governance funding input or income tax rate decreases with the same level of pollution degradation.

This article designs an intelligent air control system and regard AT89C52 MCU as control core. We can set the ideal temperature and ideal humidity through the keys. Collect signal by a variety of sensors and transmit signals to the single-chip microcomputer. The most important thing is to use PID algorithm to control. Specifically, combined with PID algorithm, the single-chip microcomputer accurately control the output of the relay. At last, the relay drives the corresponding load on the purpose of changing the indoor temperature, humidity, gas quality. Besides, there are an alarming system by sound and light.

Under the background of the active development of ecological economy in China, the transition from traditional supply chain to ecological supply chain has become a new topic of supply chain management. The use of big data technology is not only an inevitable choice for supply chain, but also an important guarantee for the development and innovation of supply chain. The purpose of this paper is to study the ecological economic development based on supply chain in the era of big data. This paper firstly analyzes and studies the development problems of enterprises in the supply chain, and expounds the significance of applying big data technology to ecological supply chain. Then it introduces the connotation and composition of ecological supply chain. Then, based on the gradient promotion decision tree algorithm, a cost sensitive xgboost algorithm, called cs-xgboost algorithm, is proposed in this paper. The experimental results show that it is of practical significance to apply the decision tree algorithm proposed in this paper to the risk prediction of ecological supply chain. In this paper, AUC and ACC are used as performance indicators to test the cs-xgboost algorithm, and the value of AUC of the algorithm is 0.9.

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers.

The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction.

Retraction published: 23 September 2022

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers.

The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction.

Retraction published: 23 September 2022

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers.

The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction.

Retraction published: 23 September 2022

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers.

The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction.

Retraction published: 23 September 2022

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers.

The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction.

Retraction published: 23 September 2022

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers.

The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction.

Retraction published: 23 September 2022

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers.

The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction.

Retraction published: 23 September 2022

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers.

The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction.

Retraction published: 23 September 2022

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers.

The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction.

Retraction published: 23 September 2022

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers.

The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction.

Retraction published: 23 September 2022

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers.

The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction.

Retraction published: 23 September 2022

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers.

The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction.

Retraction published: 23 September 2022

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers.

The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction.

Retraction published: 23 September 2022

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers.

The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction.

Retraction published: 23 September 2022

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers.

The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction.

Retraction published: 23 September 2022

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers.

The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction.

Retraction published: 23 September 2022

TThis article has been retracted by IOP Publishing following an allegation that this article may contain nonsensical content [2].

IOP Publishing has investigated in line with the COPE guidelines and have found the article contains significant similarities to the source without citation and agree this article should be retracted.

The author neither agree/ disagree to this retraction.

[1] Ye Yang 2020 J. Phys.: Conf. Ser.1574 012064

[2] https://pubpeer.com/publications/BA114A220FD5A9C66D84D020FC0EF1

Retraction published: 18 January 2023

This article has been retracted by IOP Publishing following an allegation that this article may contain tortured phrases [1]

IOP Publishing has investigated and agrees the article contains a number of nonsensical phrases that feature throughout the paper, masking overlap with previously published work, to the extent that the article makes very little sense. This casts serious doubt over the legitimacy of the article and/or expertise of the authors in this topic.

IOP Publishing wishes to credit the whistblower for bringing the issue to our attention.

The author neither agrees/disagrees to this retraction.

[1] Siyu Lu 2020 J. Phys.: Conf. Ser.1574 012011

Retraction published: 18 January 2023

This article has been retracted by IOP Publishing following an allegation that this article may contain tortured phrases [1].

IOP Publishing has investigated and agrees the article contains a number of nonsensical phrases that feature throughout the paper, masking overlap with previously published work, to the extent that the article makes very little sense. This casts serious doubt over the legitimacy of the article and/or expertise of the authors in this topic.

IOP Publishing wishes to credit the whistblower for bringing the issue to our attention.

The authors neither agree/diasgree to this retraction.

[1] Xiuping Zhang et al 2020 J. Phys.: Conf. Ser.1574 012051

Retraction published: 19 January 2023