bluuebunny/crossref_metadata_2025_split huggingface dataset:
Single Image Super Resolution Reconstruction Algorithm Based on Deep Learning
Authors: Kuang Qing 
Published: April 2021

Abstract
Super resolution image reconstruction technology is the core technology in image processing, which provides technical support for most of the intelligent devices for target tracking and target detection. However, the existing image acquisition stage will cause extra high cost to improve the image resolution. Optimization algorithm is one of the best ways to solve this kind of problem. At present, there is no substantial breakthrough in this field in China. Therefore, this paper studies single image super-resolution reconstruction algorithm based on deep learning. In this paper, the application of super-resolution reconstruction algorithm in single image is discussed. The analysis shows that the application of deep learning in this field is shallow and has a large optimization space. Especially for the existing main problems, the traditional algorithm is optimized and improved. According to the demand of resolution reconstruction, combined with the latest deep learning method, the accuracy and robustness of the algorithm are further improved. At the same time, it effectively improves the comprehensive performance of the model. In order to further verify the actual performance of the proposed algorithm, the corresponding comparative experiments are established. The experimental results show that the proposed algorithm has obvious advantages over the traditional fsrcnn algorithm, especially when the PSNR of dataset 4 is 2, 3, and 4 times, it can increase 0.41 dB, 0.58 dB and 0.52 DB respectively. Analysis shows that this algorithm has obvious advantages and achieves ideal results.
Continuous Fast Terminal Sliding Mode Control of Permanent Magnet Linear Synchronous Motor
Authors: Shen Liang , Sheng Hu 
Published: April 2021

Abstract
The permanent magnet linear synchronous motor(PMLSM) with direct driving method, which can obtain faster speed and acceleration, has been widely used in the industrial field in recent years. However, due to the lack of transmission links and the influence of nonlinear factors, the control of PMLSM is more difficult. In order to solve the problem that the control system is easy to be affected by nonlinear friction, external disturbance and other uncertain factors, the mathematical model of PMLSM with uncertain factors is established, and a continuous fast terminal sliding mode control(TSMC) method is proposed in this paper. The exponential reaching law(ERL) is used in this method to make the motion track reach the sliding surface quickly and effectively weaken the chattering of the system. The singular problem in the fast TSMC is solved by selecting the parameters to ensure the robustness of the system and improve the response speed of the system. The simulation results show that the continuous fast TSMC method has the ability of accurate position tracking and fast response of the system, so it has great practical value.
Thoughts on building an intelligent integrated management system of agricultural environment
Authors: Wang Feng 
Published: April 2021

Abstract
In modern agricultural production, environmental factors are very important. It determines not only the production cost and benefits, but also the success and difficulty of agricultural production. Agricultural environmental monitoring is the foundation of agricultural environmental management. It is vigorously developing agricultural environmental monitoring to meet the environmental needs of different varieties and planting models. Organically combining agricultural production equipment and agricultural operations is the research focus of agricultural informationization at this stage. In order to better serve the entire industry chain of agricultural forecasting, production and sales, this paper proposes to create an integrated intelligent management system that integrates pre-production, mid-production and post-production.
Research on Forecast Model of Elderly Pension Expenses Based on Data Mining Algorithm
Authors: Zhu Bin , Zhang Li , Zhang Yonggang 
Published: April 2021

Abstract
With the intensification of the aging of our country’s population, research on how to better protect the living standards of the elderly, reduce the burden of the working population to support the elderly, and ensure the orderly and healthy development of the society, is currently the focus of attention. In order to prevent aging from bringing further negative impacts on our society or economy, this paper uses data mining algorithms as the research basis and uses time series models to make effective predictions. Therefore, this article first decomposes these data by analyzing the characteristics of elderly consumption data. The decomposed sequence has short correlation characteristics, and the prediction accuracy is significantly higher than that of the traditional time series model. However, this kind of time series model can only predict some offline data. In order to make it can be used for dynamic data prediction, this paper uses RBFNN online prediction algorithm. The RBF neural network is partially improved, and the parameters are calculated by improving the later SGD algorithm. The experimental conclusion shows that the prediction accuracy and efficiency of this algorithm are obviously more accurate than the neighbor clustering online training algorithm, and it achieves more effective online prediction. It can be concluded that the role of the elderly social security budget in economic management can fully reflect the income and expenditure of the elderly social security funds, improve the efficiency of fund use, and establish a unified national social security budget, thereby reducing the impact of aging on society Negative impact.
The Early Warning Method of Drug Adverse Reaction Monitoring Based on Data Mining Algorithm Was Studied
Authors: Zhu Bin , Zhang Li , Zhang Yonggang 
Published: April 2021

Abstract
With the continuous progress of modern society, human rights are becoming more and more perfect, especially the medical system, because of the inevitability of development, at this stage has achieved a lot of proud results, but this can not meet the modern people’s pursuit of health. Because the use of resources in the industrial society has led to the emergence of many viruses that have not been seen many, so now more and more kinds of drugs, we are considering more and more things, one of which is about adverse reactions to drugs. Therefore, this paper is based on this data mining algorithm to monitor adverse drug reactions early warning method. Based on the security of the user’s personal privacy data, this paper proceeds to monitor the drug reaction in real time as the way, adopts the data mining algorithm as the main intelligent means used, compares it by consulting the domestic and foreign literature, and experiments with sandbox simulation as a modeling method, and finally results in the experimental results. The results show that if we can monitor drug reactions in real time, we can monitor adverse reactions early.
Optimization Design of Civil Engineering Construction Schedule Based on Genetic Algorithm
Authors: Shen Li , Zhang Guihong 
Published: April 2021

Abstract
With the acceleration of the modernization process in our country, the construction and construction of civil engineering projects are becoming more and more frequent. As an important and complex system work, the progress control and optimization in the civil engineering construction process is very important. It is not only directly affect the overall planning and layout of the entire project, as well as the overall construction quality of the project. For this reason, this article applies genetic algorithm to civil engineering construction, and hopes to use genetic algorithm to optimize the construction progress of civil engineering. Taking the construction of a hydropower station in our province as an example, the genetic algorithm was specifically applied to the schedule optimization design of the project, and three optimization schemes were analyzed. After the investment amount and initial investment amount of each project and sub-project. By comparison, it is found that under the third optimization plan, the investment in the construction of the main dam, the construction of the auxiliary dam, the reinforcement and reconstruction of the sluice gate, the construction of the upstream and downstream rivers and the construction of the surrounding buildings of the project has increased from the initial 535.69 million yuan, 369.42 million yuan, 136.57 million yuan, 125.98 million yuan and112.34 million yuan fell to 512.59 million yuan, 340.12 million yuan, 113.58 million yuan, 105.92 million yuan and 98.74 million yuan, which greatly reduced investment costs. Research shows that genetic algorithm is beneficial to optimize the progress of civil engineering construction, and has a positive effect on reducing construction costs and improving project quality.
Research on the Guidance Technology of Air-To-Ship Missile Attacking Nearshore Ship
Authors: Wei Jiayu , Li Haijun , Wang Tianran , Wang Yiming 
Published: April 2021

Abstract
In the complex nearshore context, attacking warship has been one of the important combat tasks to air-to-ship missile. Due to the island environment and anti-air facilities, hitting effect significantly decreases which calls for higher requirements for guidance technology. This paper hackles the development of air-to-ship missile used to attack nearshore warship, expounds vital guidance technology like the TV guidance technique, the man-in-loop infrared imaging guidance technology, multi-mode compound guidance, etc., and analyzes the trend of the guidance technology of anti-aircraft missile for nearshore combat, which can provide valuable technical reference for study of new type of air-to-ship missile and the nearshore combat.
Research on the Influence of Rumors on Consumers’ Irrational Purchasing Behavior under Public Crisis in the Era of Big Data
Authors: He Jiahui , Mou Yan , Zhang Zhengjie 
Published: April 2021

Abstract
Based on COVID-19 and Persuasion Communication Theory, this study constructs a research model to analyze the influence of rumors on consumers’ irrational purchasing behavior in the context of public crisis. Using an online questionnaire survey, the empirical results show that information quantity, content features, platform credibility, and source credibility all have a significant positive impact on rumor credibility; rumor credibility has a significant positive impact on negative emotion; Negative emotions have a significant positive impact on irrational purchasing behavior. The platform, source, quantity, and content features of rumors will affect people’s trust in rumors. Rumors cause social panic and lead to a surge of negative emotion, making people lose rational judgment and make irrational purchasing behavior. These irrational behaviors are largely due to the panic about some rumors, the urgency, and suddenness of public crisis events, making people more willing to believe in the uncertain information and engage in some irrational consumption behaviors.
Life Prediction Method of Missile Based On Environmental Load Spectrum of Shipborne Tilt Launching
Authors: Shan Xin , Zhang Weijian , Cao Yang , Li Xue 
Published: April 2021

Abstract
The fault time data of missile is an important information source to reflect the reliability and life index of missile. However, most of the failure time data are used for the life evaluation of missile, and there is no method to predict the life of missile by using the data of fault time. According to engineering experience and statistical analysis of fault data, the life characteristics of missiles are closely related to the storage environment. In this chapter, the relationship between the failure time data of missile and environmental load is established, the influence of environmental load on missile life is explored, and the life index of missile is predicted according to its service history and storage environment.
Application Research of Digital Media Technology in Ceramic Product Design
Authors: Yu Lu 
Published: April 2021

Abstract
Digital media technology is different from general digital technology, its own comprehensive is extremely strong, can organic combination and artistic, cultured is calculated, general digital technology and digital media technology exquisite combination of art and digital content, through digital content and effective performance art, also can be converted to a digital, art content to facilitate the design work, design work gradually into the public class, people can through the way of combination number, independent to make art and design. It also means that the era of national design is coming in the future. Although the content is not artistic enough, it represents the public’s pursuit of art, and also strengthens the individuality of ceramic products, so as to better meet the private customized needs of customers. Therefore, this paper will start with the advantages of digital media technology in ceramic product design, and fully launch the application research of digital media technology in ceramic product design.
Privacy Protection of Frequent Sequences based on Uniform Adaptive Local Margin
Authors: Wang Zhihan , Qiu Yiwei 
Published: April 2021

Abstract
In order to enhance the privacy protection of frequent sequences, and improve its mining utility and reduce the impact of data dimension, this paper proposes a consistent adaptive margin for marginal release under local difference privacy, which has the characteristics of improving the effectiveness and efficiency. The algorithm mainly uses the consistent adaptive local margin strategy to index, finds frequent sequences, perturbs transaction data through random response mechanism, and finds all the sensitivities that satisfy local differential privacy. For the purpose of determining the running time of mining frequent sequences, a reasonable local sensitivity traversal data set before and after the interference is selected. According to the combination property of differential privacy, it is proved theoretically that the algorithm satisfies local differential privacy, and the effectiveness of the algorithm is verified by experiments. The experimental results show that the proposed algorithm can protect the local differential privacy of frequent sequences safely and efficiently, and ensure the accuracy of frequent sequences.
Application Research of Big Data Technology in Engineering Cost
Authors: Yan Songyang 
Published: April 2021

Abstract
In view of the frequent use of information technology in practical engineering cost projects in recent years, the engineering cost industry slowly accumulated a lot of information data. The development of engineering cost industry has entered a new era of data era. The disadvantages are that there is no unified standard for project cost information data, information interconnection is difficult, the frequency of updating project cost data is slow, and the value of information has not been fully reflected. Therefore, in order to solve these problems, the most advanced information technology is applied to the construction of the project cost platform by relying on large number technology, and the project cost information data is collected, sorted out and analyzed, so that these data are full of its deserved value. The process of building a platform of the need to establish a unified standard, engineering cost data shall be carried out in accordance with the standard information collection, sorting and processing, for project cost related units to query, data model, is applied to analyze the information data at the same time, to invest in the project cost, engineering material price analysis, all staff to provide decision support for engineering cost industry. This paper USES questionnaire survey to obtain data, and analyzes the data to find that 50% of the cost information obtained comes from professional journals, and only 19% of engineering cost workers can use the Internet.
Change-In-Mean Problem for Long Memory Time Series Model
Authors: Liang Danya , Jin Hao 
Published: April 2021

Abstract
In this paper, we propose the ratio test to detect the mean change point in the long-range memory. We proved that the limit distribution of the cumulative sum (CUSUM) statistic under the null hypothesis is a functional of fractional Brownian motion. At the same time, the consistency under the alternative hypothesis is also obtained. Simulations demonstrate that our asymptotic results provide good size and power.
The Art of Dance from the Perspective of Artificial Intelligence
Authors: Li Xiaocheng 
Published: April 2021

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

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

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

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

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

Abstract
The technology of using light-emitting diodes as light source for visible communication is one of the hot spots in the field of optical wireless communication. This paper analyses the characteristics of visible communication technology, focuses on the key technologies needed for the realization of visible communication system in a specific room, and studies the feasibility and application prospects of indoor visible communication combined with the development status at home and abroad.