bluuebunny/crossref_metadata_2025 huggingface dataset:
Expression and Clinical Significance of Computer-aided HIC-1 in Colon Cancer
Authors: Yuan Heng , Hu Zhenliang , Luo Wenqi , Liu Guanlan
Published: June 2020

Objective: To investigate the expression and clinical significance of HIC-1 in colon cancer. Methods: RT-PCR, immunohistochemistry, and computer image analysis were used to detect the expression levels of HIC-1 gene and protein in 200 patients with colon cancer and the corresponding paracancerous tissues to analyze the relationship between the expressions and clinicopathological characteristics as well as their correlation. Results: the expression of HIC-1 mRNA was up-regulated in the colon cancerous tissues of 141 patients (70.5%) and in the paracancerous tissues of 21 patients (10.5%) with colon cancer, and the difference was statistically significant (P = 0.001). The expression of HIC-1 mRNA was correlated with Dukes stage, lymph node metastasis, and differentiation degree. The up-regulated expression of HIC-1 mRNA in colon cancer and the corresponding paracancerous tissues were 104 (52.0%) and 121 (60.5%), respectively. The expression of HIC-1 mRNA was not correlated with any clinicopathological characteristics of colon cancer. The immunohistochemical staining intensity of HIC-1 in cancerous tissues was 1.79 ± 0.11, higher than that in paracancerous tissues (P = 0.002). The expression level of HIC-1 was correlated with Dukes stage and lymph node metastasis. The expression of HIC-1 in colon cancerous and paracancerous tissues was weaker than that of HIC-1, which was not correlated with clinicopathological characteristics. There was a negative correlation between the expression of computer-aided and HIC-1 in colon cancerous tissues (r = -0.63, P < 0.01). Conclusions: The expression of HIC-1 can promote the progression of colon cancer, and it may have an antagonistic effect.
Foreign Linguistic System Construction Based on Computer-aided Technology
Authors: Liu LiMing
Published: June 2020

From the perspective of constructivist linguistics, modern information and network technologies are applied to explore the project contents and methods of foreign language practice teaching under the mode of foreign language practical teaching based on the construction of computer-aided technology.
RETRACTED: Application Research of Electrical Engineering Automation Based on Artificial Intelligence
Authors: Huang ZhiYing
Published: June 2020

As a derivative of computer technology and cloud technology, artificial intelligence technology can comprehensively improve social production efficiency. Electrical engineering has a direct connection with social production and people’s quality of life. How to strengthen the control of electrical automation is a key concern of all levels of society today. Based on this, analyze the advantages of applying artificial intelligence technology in electrical automation control starting with artificial intelligence, and then analyze the application strategy of artificial intelligence based on engineering examples.
Application of Graphic Design Based on Image Design Software
Authors: Wu Shan
Published: June 2020

Image design software plays a crucial role in advertising design today. Currently, the advertising design industry has become a special industry form in the market economy. It has satisfied the needs of people for various types of advertising graphic design. In the link of commercial advertisement design, the operation design of the image is the most important, which directly affects whether the advertisement can attract people’s attention. Given the situation, this paper focuses on analyzing the application of Photoshop software to improve the level of advertising design continuously.
Integrated Development of Artificial Intelligence and Big Data, with Foreign Language Discipline
Authors: Xue JunJie
Published: June 2020

In the new era of rapid change and development, the connotation and denotation of foreign language discipline research is in constant deepening and expansion. Electronic traces, social media, digital texts, spatial location information, and other large-scale data have been extensively applied to the research of foreign language discipline. The new scene of modern foreign language discipline research is worthy of our attention and consideration.
Application Analysis of Artificial Intelligence in Oral English Assessment
Authors: Yong QiaoLing
Published: June 2020

During oral English learning, assessment allows students to understand and correct their problems in oral English to achieve the effect of “Promoting learning through assessment”. The traditional manual assessment has many limitations such as low efficiency and high cost, while automatic assessment of oral English can be implemented based on artificial intelligence (AI) technology, which is a crucial reform direction of oral English teaching and assessment in the future. In this paper, the significance of oral English assessment is first introduced. The existing problems of manual assessment are analyzed. Subsequently, the principle of automatic assessment of oral English based on AI technology is expounded. The development status is explained through two products (Chisheng and Zhiling). Finally, the existing technology and problems in use are analyzed, and targeted suggestions are proposed.
Underwater Detection Signal Based on LM-BP Neural Network Algorithm
Authors: Gu XueFeng , Lou JingJun , Liu Kai , Hu Ping
Published: June 2020

The algorithm of underwater signal detection based on LM-BP neural network has a very broad application prospect. It is an important means of underwater background weak signal detection and a good method of phase space reconstruction. In this paper, the band-pass LM algorithm combined with BP neural network is used to process the underwater signal, which can effectively filter the magnetic noise in the underwater environment and extract the characteristics of the underwater detection signal. This paper first analyzes the time-frequency characteristics of the underwater detection signal, then studies the BP neural network of LM algorithm, and studies the design of band-pass filter, finally analyzes the application example based on LM-BP algorithm.
Evaluation of the Role of Rural Tourism Industry in Promoting Economic Transformation Based on Intelligent SVM Classification Algorithm
Authors: Lin MinJie
Published: June 2020

With the development of economy, China’s tourism industry has made great progress in recent years, various types of tourism industry emerge in endlessly, and in this context, the innovation of the tourism industry is very important. However, there is an obvious imbalance between the urban and rural economic development in China. In order to improve the economic development difference caused by the inherent urban-rural dual structure, it is necessary to formulate effective measures to promote economic transformation. In this paper, the study of rural tourism industry analysis, targeted solutions against the bottleneck link, based on an intelligent SVM classification algorithm analysis of urban and rural development and the trend of the economic transformation in China.
On The Auxiliary Role of Computer and Network in Japanese Translation
Authors: Li Shan
Published: June 2020

In recent years, with the rapid development of information technology, computer-aided translation system has gradually entered people’s vision. With its advantages of high efficiency and low cost, it has attracted much attention in many linguistic fields. With the development of the international era, people are no longer satisfied with artificial Japanese translation, they prefer to use computer-aided translation system. If we can’t know the culture of Japan, artificial translation can’t make people understand the real meaning of Japanese sentences. However, the computer with huge information storage can solve this problem. This paper includes systematic summary of the computer-aided system and the analysis of the affect of computer-aided in the process of Japanese translation.
Computer Simulation Evaluation of Financial Risk Based on Cuckoo Search and SVM Algorithm
Authors: Ma YuZe
Published: June 2020

With the rapid development of science and technology, there are more and more large-scale transnational enterprises, which also cause many financial risks. The financial risk level of listed companies will directly affect the sound development of the financial market, which requires listed companies to do a good job in financial risk assessment. However, most of the current financial risks rely on financial statements and other forms, which will be difficult to form a good early warning mechanism. Through the cuckoo search algorithm and SVM algorithm, we can form a new intelligent evolutionary algorithm, which can carry out multi group search and adaptive step size. Through the improved method, we can optimize the parameters of SVM model, which will be applied to the company financial risk assessment. Through the improved cuckoo search algorithm, we can improve the accuracy of financial data classification and prediction, which will better improve the financial environment. First of all, this paper analyzes the algorithm based on cuckoo. Then, this paper analyzes the SVM algorithm. Finally, some suggestions are put forward.
Computer optimal path simulation planning of oil and gas storage and transportation based on similarity measurement of decision space
Authors: Wang ZhiHan , Li TianYu
Published: June 2020

The optimal path of oil and gas storage and transportation has become an important issue of oil and gas transportation management, which has become an important research topic. By reasonably arranging the driving route of vehicles, enterprises can reduce their own transportation costs, which will optimize the objective function. By relying on the similarity measurement algorithm of decision space, we can optimize multiple objective functions of oil and gas storage and transportation, such as the number of vehicles, the total distance of the path, the total waiting time, vehicle service time, etc. Through the study of multiple route schemes, we can choose the optimal route simulation planning of oil and gas storage and transportation. First, we analyze the decision space similarity measurement algorithm. Then, the optimal path simulation planning of oil and gas storage and transportation is proposed. Finally, some suggestions are put forward.
Value and Development Ideas of the Application of Artificial Intelligence in Sports Training
Authors: Zhang Hong
Published: June 2020

In this paper, the value and development dilemma of artificial intelligence (AI) technology in the process of building a sports power are analyzed by literature and other research methods. Combined with the current situation and characteristics of the sports development in China, the following suggestions are proposed for the application of AI in sports: clarify the responsibilities of the state, governments and sports departments at all levels, and provide funds and policy support for the application of AI in sports, develop norms and standards for the application of intelligent products in sports, maintain fairness, justice and social ethics in sports, enhance the training of sports AI talents, facilitate the organic combination of production, learning, and research, strengthen the training of sports practitioners in AI, cultivate their awareness of AI application and information literacy, accelerate the development of data norms and information standards, to provide data guarantee for the integration of AI and sports.
ADCP Data Acquisition and Its Application in Multichannel Signal Processing
Authors: Zhang Xinyu
Published: June 2020

With the deepening of related research, the relevant theories of signal processing and the final acquisition method have made significant achievements, which have been widely applied to image processing, radar and other fields, promoting the continuous improvement and improvement of signal processing technology. A series of facts show that the progress of signal processing can effectively promote the development of other disciplines. The combination of ADCP data acquisition technology and signal processing is relatively late, but now it has become an important method of information processing, and it continues to develop towards systematization and maturity. The purpose of this paper is to strengthen the in-depth understanding of ADCP data acquisition and better promote its combined application with multi-channel signal processing. This paper first explains the concept and working principle of ADCP data acquisition, then applies the ADCP algorithm to multi-channel signal processing, explains the overall design of ADCP multi-channel signal processing platform, and then analyzes the specific situation of the platform from the perspective of design requirements and signal processing analysis. The experimental results of this paper show that the design of ADCP multichannel signal processing platform realizes the scientific application of ADCP data acquisition in multichannel signal processing.
Innovation of Family Business Management Mode under the Environment of Big Data and Artificial Intelligence
Authors: Liu Hui
Published: June 2020

In today’s era, the emergence and application of artificial intelligence and big data have become the main means for enterprises to improve economic benefits. It can be said that the application of artificial intelligence and big data in family business management is an information and digital enterprise revolution. Of course, in such an era of rapid development of new technology, the management model of family business has also been some unprecedented impact and impact. The traditional family business management mode cannot meet the needs of the further development of the enterprise at all. In order to promote the development of the family business, it is necessary to use the innovative thinking of artificial intelligence and big data to improve related work. The purpose of this paper is to take the management mode of family business as the research object, analyze and study how the management mode of family business can be innovated to meet the needs of social development under the background of artificial intelligence and big data. This paper will use case analysis, comparative analysis, etc., specifically analyze the family business in the management mode of the shortcomings and problems, so as to find a new approach to these problems. The research results show that family business management model does have its advantages and characteristics, but it is undeniable that in the context of big data and artificial intelligence, the shortcomings of the traditional management model are constantly exposed. How to innovate the traditional management model is the key to the sustainable development of family business.
Application of IEC61850 in Intelligent Distributed Network Automation
Authors: Wu Lifang , Yu Xiaoyong , Chen Shaonan , Huang Weixiang , Tao Kai
Published: June 2020

The safe and stable operation of the power grid system is conducive to ensuring the orderly development of China’s economy. Therefore, we must firmly grasp the development trend of the power distribution automation power system, comprehensively grasp and understand its existing problems, and formulate targeted solutions. This paper mainly studies the application of IEC61850 in intelligent distributed network automation. The communication application IEC 61850 of the master station and the terminal in the distribution network automation is the current development direction. The use of object-oriented modeling technology and a unified configuration language can improve interoperability between devices, reduce communication configuration, and reduce the workload of installation and commissioning. The communication service mapping defined by IEC 61850 is completely suitable for distribution network automation communication. Adopt distribution Intelligent control technology and design based on the IEC61850 standard are the development trends of intelligent power distribution terminals. This paper gives the structure of a distributed intelligent distribution automation system. The control mode studied in this paper has an impact on the system’s annual outage time indicators, and the indicator SAIDI is correspondingly increased, and the corresponding proportions are 52.1% and 43.2%. ENS and ASAI are proportional to the optimization level of this indicator, so it can be shown that the construction of distribution network automation can effectively reduce the power outage duration of the entire system, which has a significant effect on improving the reliability of distribution network power supply.
Industrialization Path of Agricultural Intelligent Equipment
Authors: Peng Xiuyuan , Lu Chuang , Wang Feng
Published: June 2020

China has been one of the most responsible countries in the world, and its influence on the world is growing. Since ancient times, agricultural stability is stable, agricultural prosperity is national prosperity. The stable development of agriculture is beneficial to the stability of our society and the stability of our international position. In the current information society, intelligent equipment can be seen everywhere in daily life. The application of intelligent equipment in agriculture is also getting more and more attention. However, due to the limited policy support, weak overall strength and poor external development environment in China, the industrialization of intelligent equipment in China’s agriculture has fallen into a bottleneck period. Starting from the significant problems in the application of agricultural intelligent equipment in China, this paper adopts SWOT analysis method and field research method to analyze the feasibility of promoting the industrialization of agricultural intelligent equipment in China, aiming to explore the industrialization path of agricultural intelligent equipment in line with China’s national conditions, promote agricultural development and help China’s Renaissance. The results of this paper show that the per capita cultivated land area in China is far less than that in the world, and the contradiction between man and land has been accompanied by the development process of China, so it is imperative to promote the industrialization of agricultural intelligent equipment. Increasing publicity, raising farmers’ awareness, increasing purchase subsidies, expanding the scope of use, enhancing scientific innovation capacity and improving hardware quality are conducive to breaking the current bottleneck and promoting the development of agricultural intelligent equipment industrialization.
Superpixel Image Segmentation Based on Improved K-means
Authors: Siyuan Ran , Xinying Li
Published: June 2020

Superpixel algorithm is the pretreatment of the image processing steps, in the processing of computer vision, precision of the superpixel algorithm is very important. In order to improve the accuracy of superpixel segmentation, an improved k-means algorithm for superpixel segmentation is proposed. This algorithm uses the improved k-means algorithm to cluster the images. By changing the calculation method of distance, it improves the measurement of similarity, improves the accuracy of segmentation, and improves the quality of segmentation results. Experimental data show that this algorithm performs better than the traditional algorithm and improves the segmentation quality and visual effect.
Application of Improved Ant Colony Algorithm in Optimal Planning of Dynamic Distribution Network
Authors: Liu JinXiong , Huang TieZheng , Duan Xi
Published: June 2020

In this paper, the analysis is carried out in order to optimize the dynamic distribution network. The analysis is based on the basic principles of distribution network planning technology. It summarizes the ant colony algorithm and the improved ant colony algorithm, and proposes an improved ant colony algorithm for the distribution network planning the mathematical model construction method, and finally verifying the example. The results show that the improved ant colony algorithm has more advantages than the traditional ant colony algorithm, and it is more in line with the basic principles. The digital model of the distribution network planning has been successfully implemented, and it has a good performance in the calculation examples. The application of improved ant colony algorithm to optimize the planning of dynamic distribution network can improve the quality of the planning scheme, indicating that the algorithm has higher application value.
Design and Research of Satellite Communication Terminal System
Authors: Zhang Ting , Wang Zuliang , Liu Yaqiang
Published: June 2020

Under the condition that the local facilities are completely destroyed and the use site changes frequently, it is of great significance to realize the rapid and convenient establishment of satellite communication links at both ends of the ground to meet the emergency communication. A kind of fully automatic portable satellite communication terminal is designed, which integrates the common satellite communication terminal equipment highly, integrates the hardware and software of each equipment, completes the link of satellite communication link and parameter setting by using the keyboard operation of laptop computer, and can automatically complete the process of satellite searching. It can improve the accuracy of the alignment satellite, ensure the excellent communication performance, light weight and portability, and is suitable for use in various harsh environments.
Implementation of Graphic Plugin Loading Platform Based on Python
Authors: Liu Yu , Su Youhui
Published: June 2020

With the scripting language getting more and more mature, individual developers can also develop script programs according to their own needs based on the existing software library. In order to help individual developers to quickly and simply complete the software graphical problems, a graphical plugin loading platform is developed based on Python language. Through the specified plugin class standard, developers can quickly convert existing scripts or develop scripts according to plugin class, and easily realize the software graphical.
Internal Welding Monitoring Device of Spiral Submerged Arc Welded Pipe Based On AT89C51 Single-Chip Microcomputer System
Authors: Wang Guiping , Sun Xirui , Ye Tianchi , Luo Zhongbao
Published: June 2020

In order to make the spiral submerged arc welded pipe more accurate, a device for monitoring the internal welding of spiral submerged arc welded pipes is developed. The device uses the AT89C51 single-chip microcomputer as the processor, and the PR9350 sensor detects the distance between the sensor and the slider in the chute to achieve monitoring. The purpose is displayed to the staff by the display. In the design of the detection program, a verification function is added to make the program more accurately report the working status during the running process, so that the staff can solve the abnormal situation of the program in time. In the overall design, the electric push rod is used in cooperation with the welding device to achieve the pipeline running in the normal track direction. After experimental verification, this device can automatically adjust and correct the offset track, the system runs smoothly and has high use value.
A Community Discovery Algorithm for Complex Networks
Authors: Lv Lintao , Wu Jialin , Lv Hui
Published: June 2020

Community structure is an important feature of complex networks. These community structures have the fractal characteristics, that is, there is a self similarity of statistical sense between the complex networks and their local. There have been more and more recent researches on communities’ discovery in complex network. However, most existing approaches require the complete information of entire network, which is impractical for some networks, e.g. the dynamical network and the network that is too large to get the whole information. Therefore, the study of community discovery in complex networks has rather important theoretical and practical value. Through the analysis and study of the complex network evolution models with renormalization and the community change of the complex network evolution, using the tool of adjusting scales as the renormalization process, a multi-scale network community detection algorithm based on fractal feature evolution was proposed. The purpose is to solve community discovery problems in dynamic complex networks, and the effectiveness of the proposed method is verified by real data sets. By comparing result of this paper with the previous methods on some real world networks, and experimental results verify the feasibility and accuracy.
RETRACTED: Design of Travel Itinerary Planning System Based on Artificial Intelligence
Authors: Chen Peilin
Published: June 2020

The existing travel information on the Internet is cluttered, repetitive, and singular. It cannot provide tourists with accurate travel information and help tourists plan their trips rationally. To this end, this article establishes a travel planning system based on artificial intelligence. This article conducted a multi-threaded performance test for the route search submodule, and tested the tendency of the vertical search crawler to crawl the webpage as the number of multi-threads increased. In addition, this article conducted a stress test to test the system’s increase in the number of concurrent users. System performance changes. The test results show that the system function basically meets the needs of users, and has good stability and efficiency.
Countermeasures of Internet Rumor Management Based on Artificial Intelligence Technology
Authors: Liu Sitong
Published: June 2020

With the development of The Times, the development of artificial intelligence technology with each passing day, its research and application has been widely penetrated into human daily life and scientific field, to human politics, economy, ecology, culture and other aspects of the abyss. Therefore, people must be alert to the risk of spreading online rumors brought by artificial intelligence technology. The purpose of this paper is to study the countermeasures of Internet rumor propagation under the background of artificial intelligence. This article from the perspective of risk early warning, to promote the sound development of artificial intelligence as the background, combined with the related theory foundation, in order to effectively cope with Internet rumors spread for specific research object, analyzes the present situation of Internet rumors spread, and from the technical level, national level and system level three Angle analysis how to effectively deal with Internet rumors spread, develop effectively cope with the spread of Internet rumors solutions and Suggestions, in order to in a certain extent, reduce the risk of Internet rumors transmission losses to individuals or countries. The experimental results show that the effective response to network rumor propagation can alleviate the loss caused by its risk, promote the good development of artificial intelligence technology, and build a safe and friendly network communication and information dissemination environment.
Construction of Intelligent Irrigation System for Kiwifruit Planting Base Based on PLC
Authors: Zhao Delong , Dong Wanjun , Wu Yanjun , Dong Bo , Li Zhenhai
Published: June 2020

With the continuous development of the intelligent water conservancy industry, it is urgently to “make up the shortcomings and strengthen the weaknesses” for the traditional water conservancy project construction. This paper takes the kiwifruit planting base in Heilin Town, Ganyu District, Lianyungang City as the control object, and uses Schneider TM221 integrated PLC module as a controller to build an intelligent irrigation system. The system uses sensors to collect data such as irrigation flow, soil moisture, meteorological information, the water level of the reservoir and water quality, and the collected data is monitored by the designed upper computer monitoring software. So that users can switch valves remotely. This system meets users’ needs for monitoring during the irrigation process, irrigation quality analysis and improvement of irrigation processes, so as to achieve automatic operation of irrigation, analysis and other processes, and achieve a double harvest of social and economic benefits.
Analysis on E-commerce Course Reform under the Background of Artificial Intelligence
Authors: Ji Qiaofen
Published: June 2020

With the popularity of the Internet, E-commerce has penetrated into all areas of society. Big Data is the product of the development of the Internet to a certain stage. Through the innovative application of various industries, Big Data creates a lot of value for human beings. The breakthrough and wide application of Big Data technology have driven the rapid development of Artificial Intelligence. The application of Artificial Intelligence in education has become a hot topic. The article introduces the development stage of Artificial Intelligence, analyzes the problems existing in E-commerce courses under the background of Artificial Intelligence, and discusses the reform model of E-commerce courses under the background of Artificial Intelligence.
Algorithm for Probability Calculation of B- Spline Curve
Authors: Qiu Jiaqi , Xie Yi
Published: June 2020

This paper presents a probability calculation method for B-spline curve, which is made up of coordinate transformation unit, normalization unit, binarization unit, probability calculation unit, data decoding unit. This thesis offers the general structure and algorithm principle of generating B-spline curve, and draws the B-spline curve on the simulation hardware of VC++6.0 software. Experimental results show that compared with the traditional method of directly calculating B-spline, Paper’s method has lower algorithm complexity and faster curve generation, which is more beneficial to the realization of high-order B-spline curve.
An Power Grid Things of Internet Fog Resource Scheduling Algorithm
Authors: Zhang Dao , Liu Yuran , Lu Siyu
Published: June 2020

In the wake of developments in computer and internet, power Internet of things technology is becoming more and more mature. As an extension of cloud computing, fog computing provides computing, network, storage and network edge communication for power grid Internet of things. Due to the limitation of its own storage and computing power and the increasing business demand, it is urgent to improve the efficient and feasible resource scheduling scheme. This paper takes the fog resource scheduling in power grid as starting point, proposes a fog resource scheduling algorithm based on time series optimization for the Internet of things in the power grid, and evaluates the proposed algorithm. The results show that the algorithm has strong application value for electricity the development of Internet of things provides the possibility.
Time Series Prediction of Wireless Network Traffic Flow Based on Wavelet Analysis and BP Neural Network
Authors: Li Yanchi , Huang Jin , Chen Haojie
Published: June 2020

Building an appropriate model is the key issue of network traffic flow prediction [1]. This paper presents a hybrid model based on the combination of wavelet denoising and BP neural network. First, wavelet transform is used to normalize and denoise the collected raw traffic flow. The index for estimating prediction accuracy is Mean Absolute Error (MAE). The original data is supported by a large telecommunications company in China. At present, research has made corresponding progress and the prediction accuracy of this combined model has reached more than 80%.
Research on International Trade and China’s Technological Progress Based on Trade Breakdown Data
Authors: Sun Wei
Published: June 2020

In the 21st century, the rapid development of science and technology will improve the productivity of the industry. Therefore, technological progress will improve economic growth. In the process of economic globalization, the role of technological progress will continue to increase. Therefore, we must promote technological progress, which will achieve a virtuous circle between technological progress and the growth of international trade. By improving the technological content and trade competitiveness of export products, we can achieve steady development of international trade. Through trade decomposition data, we use standardized supply side system to measure the direction of technological progress, which is the dynamic evolution of technological progress in the future. Through analysis, we can get the following results. International trade is the main factor for China’s technological progress to favor capital, which is the fundamental driving force for technological progress.
Numerical Simulation of Fractured Reservoir with Full Coupling Matrix Finite Element Method
Authors: Qi Jing
Published: June 2020

Fractured reservoir is an important part of China’s oil and gas resources, which is a phenomenon that will be encountered in the exploitation of most oil and gas resources. However, there are many difficulties in the exploitation of fractured reservoirs, such as internal complexity, basic assumptions of models, fracture identification technology, computer hardware and so on. Therefore, we must consider the full coupling matrix finite element analysis, which will overcome the limitations of the traditional dual medium model and the discrete fracture network model. Through the full coupled matrix finite element analysis, we can establish a new numerical simulation of fractured reservoir. First, this paper analyzes the basic types of fractured reservoirs. Then, this paper analyzes the full coupling matrix finite element method.
Communication Characteristics of Public Service Advertisement based on Big Data
Authors: Yang Xin
Published: June 2020

As we all know, the business image and leading brand of enterprises determine the main position of relevant enterprises and their products in the hearts of consumers. This concept is usually shaped by the comprehensive strength of enterprises and the design and innovation of advertising strategies. In the design of plane advertisement in our daily life, newspaper advertisement and magazine advertisement are paid more and more attention. As a result, they have a large circulation and high credibility. This also means that they have a strong brand building capacity. In addition, the combination of two-dimensional advertising and media technology can greatly enhance the shaping power of daily advertising.
Reconstruction of Human Resource Management Under Big Data and Artificial Intelligence
Authors: Zhu WeiBin
Published: June 2020

In the big data and artificial intelligence (AI) era, enterprise human resource management can be carried out based on the management innovation of big data and AI management innovation to adapt to the new situations such as the increased diversification of labor relations, the decentralization and flattening of organizational management, and the individualized values of the new generation of employees, etc. Based on the maturity model of human resource management, the data demand of enterprise human resource management will present a development trend from individual, phenomenal, accurate and causal judgment to collective, regular, relevant and perceptual prediction, along with the transformation of human resource concept and management mindset. Compared with the “Small data”, big data and AI will drive the innovation of human resource management in enterprises from three aspects as follows: implementing the tagging of human resources to form “Digital portrait” of talents at the basic level, building the decision and feedback system of human resources at the implementation level, and facilitating the transformation of the management mindset from management and control to value empowerment at the strategic level.
Effect of Internet Language on Chinese Language Teaching Considering Register Theoretical Analysis
Authors: Zhu Shan
Published: June 2020

Register theory is one of the essential theories in Halliday’s systemic functional linguistics (SFL). Specifically, it includes the linguistic field, tenor, and mode. In this paper, the characteristics of computer-mediated communication (CMC) and Internet language are analyzed from the three aspects to identify and verify the practicality and feasibility of the register theory in the new communication mode of Chinese language teaching.
Optimal Design of Prefabricated Building Based on BIM
Authors: Jiang SaiBai , Sun Chao
Published: June 2020

Currently, China is in the rapid development stage, and the speed of urbanization is getting increasingly fast. The application of prefabricated construction in the modern construction industry is more and more common. The BIM technology emerges as the times require, which is developed by some technicians to improve the work quality and efficiency at the construction site. With the acceleration of urban construction, the technical means of construction are also improving day by day, and the application of BIM is more and more common. Attributing to its features, it appears more and more frequently in the prefabricated construction. This advanced technology is highly practical, contributes greatly to the construction of modern buildings, and plays a significant role. It has dramatically improved the technical level of modern construction and vigorously driven the rapid development of the construction industry. It can accelerate the construction speed and shorten the construction period considerably. Multiple advantages make BIM technology the favorite of the modern construction industry. Certainly, this technology is still in the development stage, and there is a long way to go. Constant research and upgrade by developers are required to make it more outstanding.
Analysis of Mental Health Status of Rural Left-behind Children in China Based on Meta-analysis Method
Authors: Zhang LiWen
Published: June 2020

Computer retrieval was performed in the CNKI, Chongqing VIP Chinese Science and Technology Periodicals Full-text Database, Wanfang Sci-tech Periodicals, and Chinese Biomedical Database, with the retrieval time limit from 1984 to 2017. The statistical results suggest that in the eight dimensions in the MHT scale (learning anxiety, social anxiety, loneliness, physical symptoms, phobia, impulse, allergies, and intropunitive reactivity. Except for the last two dimensions, the scores of the other six dimensions of the left-behind group were higher than those of the non-left-behind group (P = 0.0001 ~ 0.03). Hence, targeted education on mental health of children left behind in rural areas.
Evaluation of Innovation and Entrepreneurship in Enterprise Talents Based on Structural Equation Model Analysis
Authors: Hou GuiWen
Published: June 2020

Enterprises are essential driving forces of social and economic growth. In recent years, China has vigorously encouraged entrepreneurship nationwide, and the number of enterprises has proliferated. However, enterprises face multiple problems in the development process, such as the lack of core technologies and the internal growth factors of sustainable business. To address these problems, we analyzed the influencing factors of enterprise talent innovation in this paper. The results show that the strength, scale, and stability of the network relationship between enterprises and seven entities have a significant positive effect on improving the innovation capacity of enterprises and that the improved innovation capacity can bring innovation performance to enterprises to some extent.
High-Quality Development of the Tobacco Business in Guizhou Province Based on Data Information
Authors: Deng Zuchang , Liu Jun
Published: June 2020

Currently, “high-quality development” has become one of the keywords in the National People’s Congress and the Chinese Political Consultative Conference (NPC & CPPCC) this year. A new journey of high-quality growth of the tobacco industry begins in the new era. Faced with the new situation and new tasks, how to evaluate the quality, economic operation and future growth potential of local and municipal tobacco industry scientifically and reasonably, and how to identify the best practice through benchmarking to enhance the corporate internal management is a difficult issue to be addressed at present. The evaluation system for the high-quality development of the tobacco business in Guizhou Province is used as the model to conduct in-depth research in this paper.
Influence of Digital Media Technology on Animation Design
Authors: Liu Geng
Published: June 2020

With the rapid development of modern computer technology, information communication, etc., fruitful achievements have also been made in digital media technology, which has gradually penetrated all walks of life. In the related design and production process of animation TV works, the integration of digital media technology allows richer contents and forms of animation and brings more real visual enjoyment to the audience. Digital media technology has driven the design and production of animated TV works. In this paper, mainly the related development of digital media technology is expounded and analyzed. Its application in animated TV design is studied for reference only.
Research on the Clarinet Music Based on Big Data
Authors: He PeiLong
Published: June 2020

The clarinet was evaluated by the famous composer Mozart as the instrument closest to the human voice. It is more active in the expression of music and occupies a certain position in the performance of the symphony. With the development of the social economy and application of information technology, big data technology is gradually integrated into every aspect of life. It will change people’s behaviour mode, thinking method and value concept, and it is bound to affect the inheritance, innovation and development of world music culture in the future. Starting from the background of the era of big data, this paper briefly introduces the meaning of big data and clarinet performance characteristics, and discusses the application of big data technology in music research in detail, to provide a reference for future music research.
Construction of Smart Logistics Model Based on Big Data
Authors: Guo Xin
Published: June 2020

The rapid iteration of e-commerce has put forward higher requirements for the reform of data-based information in the logistics and transportation industry. The iteration of intelligent logistics can be based on big data and other related high-tech to effectively improve the efficiency of logistics and transportation, and improve customer satisfaction. This paper first analyses the intelligent logistics business system, and then studies the construction of key links of intelligent logistics mode management based on big data. Finally, it analyses the reconstruction of intelligent logistics model based on big data.
Meteorological Application Based on Big Data Streaming Computation Method
Authors: Wang Xu , Cheng HongTao , Liu XiaoYan , Wang XiaoJie
Published: June 2020

Big data analysis in the form of streaming computation has always been a problem to be solved at present, with relatively few research results and practical experience. The random forest method is currently the most extensively used classification algorithm. However, in the application scenario of streaming computation, real-time, volatility, and disorder features presented by data will lead to a gradual reduction in the accuracy of the algorithm. In this paper, the characteristics of the random forest algorithm are analyzed, and the idea of random forest pruning based on the accuracy of the decision tree is proposed. Meanwhile, to adapt to the changes in meteorological data, the concept of accuracy interval is combined to propose a method for the generation, verification, and supplementation of a new decision tree. Finally, a random forest that can be constantly updated with data is established to meet the requirements of the streaming big data environment for the algorithm. Actual meteorological data are used to verify the feasibility of the improved method. The results show that the new method has a higher classification accuracy in the real streaming big data scenario.
Application of Modern Electronic Information Technology Relying on Time Series Data Algorithms to Advance Technological Progress in Traditional Industries
Authors: Wang BoLun
Published: June 2020

The development of the field of electronic information technology is constantly deepening, which is of great significance to the upgrading of traditional industries and the leap forward in the level of electronic information technology. From small individuals to large countries, information security and technology levels depend on in-depth research and development in the field of electronic information technology. Keeping pace with the times and promoting their further development is the key to promoting the progress of human civilization. This paper uses the time series model to estimate it and provide ideas for its further development.
Application Analysis of Data Mining Technology in Oil Painting Course Resource Management
Authors: Zhou Ye
Published: June 2020

This paper firstly puts forward some obvious disadvantages of traditional oil painting curriculum management in the course of selecting oil painting for several decades. After detailing and comparing the types of data mining technology, this paper puts forward two proven advantages of applying data mining technology in oil painting course management, one is to customize the course according to the students’ own characteristics, the other is to promote the overall development of students’ artistic literacy.
Research on the Relationship between Artificial Intelligence Technology and Computer Data Processing
Authors: Sun FuCai
Published: June 2020

In the information age, the application penetration of artificial intelligence in the field of computer data processing has become quite common. The fuzzy inference system and the neural network system in its composition system have good data analysis and reasoning capabilities, which has improved the quality of products produced. The enhanced function connection is one of the most important ways of artificial intelligence spatial expression. It achieves high-speed data operation under the premise of ensuring accuracy. The formed fuzzy inference system expresses information and data through rigorous and logical language. This article comprehensively analyzes and discusses the relationship between them.
Financial Performance Evaluation of Colleges and Universities Based on DEA Model and Balanced Scorecard Method
Authors: Han Juan
Published: June 2020

In this paper, a DEA model is applied to the financial performance evaluation of colleges and universities. Six colleges in Guangxi are taken as the research objects, and their financial performances are ranked to determine the college with the best financial performance in the region. The college is used as the benchmarking unit to propose targeted management suggestions for the financial performance insufficiency of other colleges in Guangxi.