bluuebunny/crossref_metadata_2025_split huggingface dataset:
Internet plus -based Micro-monitoring Platform Teaching Monitoring Method
Authors: Liu Yishu 
Published: June 2020

Abstract
Traditional teaching quality monitoring is a relatively static inspection process, while teaching activities are a continuous and dynamic process. Therefore, exploring an effective, continuous and dynamic process teaching quality monitoring method, improving the effectiveness of teaching quality monitoring, and promoting the continuous improvement of teaching quality(TQ) is an important issue facing teaching management departments. The purpose of this article is to study the teaching monitoring method of micro-learning platform based on Internet +. In terms of methods, it is proposed to reform the teaching evaluation system, improve the efficiency of TQ monitoring, and ensure the effectiveness of TQ and staff training. Four improvement measures are proposed, including the three-level department lecture system and teaching supervision system, the implementation of teaching supervision system, and the establishment of a TQ information feedback system to improve the effectiveness of teaching monitoring. The data are found, and it is found that the improved monitoring method proposed in this paper is more effective than the original teaching method of micro-learning platform. Based on student feedback, I hope to promote the monitoring method proposed in this article.
Application of Artificial Intelligence Algorithm in Visual Guidance of Industrial Robot
Authors: Zou Lei 
Published: June 2020

Abstract
With the rapid development of science and technology and manufacturing industry, the position of industrial robots in the advanced manufacturing industry is also improving, the application of industrial robots has been expanding. Visual guidance technology can help industrial robots to complete the production work with high flexibility and high intelligence, and promote the fine development of industrial robot technology. The purpose of this paper is to realize the good application of artificial intelligence algorithm in the visual guidance of industrial robots and promote the continuous improvement of its visual guidance system. This paper first discusses the concepts of artificial intelligence, industrial robots and visual guidance, then analyzes the specific application of artificial intelligence algorithm in visual guidance system based on Apriori algorithm, and detects the visual guidance system under artificial intelligence algorithm through simulation experiments. The experimental results show that the industrial robot vision system based on artificial intelligence algorithm in this paper has a great advantage in calibration accuracy and calibration time.
Simulation Experiment on Drag Reduction Effect of the V-shaped Groove Structure of Bionic Water Strider Robot
Authors: Wang Qingcheng , Yang Xiaodong 
Published: June 2020

Abstract
The drag reduction of the groove surface is inspired by the shark skin structures, the groove structure is transplanted onto the water-repellent robot and subjected to drag reduction simulation experiments. The effect of the width, height and apex angle of the V-shaped groove on the drag reduction coefficient is studied. When the dimensionless parameters of the width, height and apex angle of the groove are 16, 11and 70°, the best drag reduction effect is obtained, the drag reduction rate is about 6.5%. The characteristic parameters obtained through simulation experiments can provide a design basis for the drag reduction research of bionic water hammer robot.
New Sugar Water Sweetness Measuring Instrument Based on Sensor Technology
Authors: Huang Jian 
Published: June 2020

Abstract
In order to accurately detect the concentration of sugar water, a new sensing technology based on capacitance sensing is adopted. Based on the capacitance sensing technology, a metal rod is used as a sensor, which can be extended into the sugar water container to produce a variable capacitance value. The data can be collected and processed, and the sweetness of sugar water can be measured.
Realization of Smart Home Information System with High-accuracy Data Import Based on Big Data
Authors: Li Gang 
Published: June 2020

Abstract
To solve the problem of low data import accuracy of intelligent Internet of Things (IoT) information system in the existing smart home application scenarios, this article develops a scheme of smart home information system based on big data with high-accuracy data import. The scheme is based on the system architecture, combined with the related hardware system of smart home, which can successfully complete the accurate import and stable data preprocessing of a large number of data Manage and classify data. By comparing the existing smart home data import performance, big data simulation and comparative experiments are carried out. The experimental results show that the smart home information system can ensure the accuracy and reliability of information import when importing a large number of data. The validity of the scheme is verified. The smart home information system realized by the scheme can operate accurately and reliably in the big data environment, which also shows that the scheme can be extended to the whole society.
Research and Implementation of Remote Sensing Image Database Technology Based on Oracle9i
Authors: Chen YuanYi 
Published: June 2020

Abstract
With the continuous development of remote sensing technology, more and more image data have been acquired. How to store these data safely and effectively has become an urgent problem that needs to be solved. In this paper, after analysing the types and development methods of image data, we decided to use VC to develop based on Oracle’s image database; an image database system is designed and implemented. Specific research work is mainly reflected in many aspects:
Research on Marketing Strategy Simulation Model under Big Data
Authors: Wang Yan 
Published: June 2020

Abstract
With the rapid development of science and technology, computer technology has become an indispensable resource in people’s daily life, which has changed people’s work and life style. With the advent of the era of big data, the traditional marketing has been unable to meet the needs of market development, which requires enterprises to adapt to the development of the times. Under big data Beijing, enterprises can obtain accurate market economy information and operation information, which will provide important data analysis. Therefore, through big data analysis, enterprises can change their marketing strategies, which will improve the quality and efficiency of marketing. First of all, this paper analyzes the necessity of marketing strategy transformation. Then, this paper analyzes the marketing strategy simulation model under big data.
Performance Mode of Order Competition Integral System Based on Autonomous Earned Point System Model
Authors: Yang XiuXiang 
Published: June 2020

Abstract
The tobacco monopoly administration (company) has established the organic connection between the corporate external and internal market through the autonomous integral performance mode. According to the standards of “Value anti-driving mechanism” of “Performance segmentation, pay segmentation, back-flush task by wage, remuneration based on completed effects” and the “Process quantification” of “It’s different to do more than to do less, to do quickly than to do slowly, to do a good job than to do a bad one”. In this way, the business management and control focus is clarified, the operation process is optimized, and various management indicators are continuously improved to achieve organizational harmony of win-win between employees and the enterprise.
Application of Data Mining Technology in Music Curriculum Resources
Authors: Zou LianFeng 
Published: June 2020

Abstract
As an indispensable medium between teaching theory and teaching practice, teaching mode can not only effectively guide teaching activities in theory but also help develop effective operating procedures and countermeasures for specific teaching practices. The music curriculum model based on data mining technology is a novel music teaching mode that focuses closely on the technology guideline of “Learning with technology” based on the educational cloud architecture with the collection of multimedia music curriculum resources and properly applies data mining technology to incorporate information technology (IT) means into the music teaching. In this paper, information means such as database and education cloud are effectively used to make an in-depth exploration of the music curriculum model based on cloud computing and data mining technology to provide higher quality information services to schools, teachers and students.
Applied Research on Agricultural Big Data
Authors: Wang Feng 
Published: June 2020

Abstract
With the continuous advancement of digital informationization, the agricultural field has naturally entered the era of big data. At present, big data technology has achieved remarkable results in the Internet industry, but it is still in its infancy in the agricultural field. Due to the complexity of the agricultural field itself and the obvious diversity and heterogeneity of data, the agricultural Internet of Things in the big data environment is facing many difficulties and challenges, especially the collection and storage of massive data. The purpose of this article is to study the application of agricultural big data. This article briefly introduces the background of the development of agricultural big data and the significance of developing agricultural big data, and summarizes the meaning of big data. At the same time, this article summarizes and analyzes the major applications of agricultural big data in production process management, agricultural resource management, and agricultural ecology environmental management, agricultural products and food safety management. In the experimental part, this paper designed and implemented an agricultural big data system platform based on Hadoop. This article simulated the query of 10, 100 and 1000 records respectively for 10,000, 100,000, 1 million and 10 million records, and the average response time was 56ms. The experimental results show that the performance of the agricultural big data platform designed in this paper can meet the needs.
Legal Risk of Net Information Dissemination in Big Data Era
Authors: Ruan Lili , Liang Dongxin 
Published: June 2020

Abstract
As the rapid development of the Internet and the wide application of big data technology, it has spawned a large number of network users. The free dissemination of various kinds of information has gained new development, but it has also given rise to many new conflicts and problems. This paper is mainly based on the current network information dissemination which has which has three characteristics: first, the information spreads highly effective and freely; second, the information is difficult to judge the authenticity; third, it is related to the netizens’ privacy. That explains the era of big data network information dissemination facing all kinds of legal risk, which involves the citizens’ rights are violated, and the network crime is increasingly serious, legal issues, such as national information security threats, thus put forward to perfect the relevant legal system, strengthen government guide, suggest improving the social regulation.
Application of “Cultural Data” in College Education from the Perspective of Big Data
Authors: Xue Chunmei , Cao Aiping 
Published: June 2020

Abstract
With the gradual popularization of the Internet, the technology of big data has gradually entered the public’s vision, and its attention is increasing day by day. To improve the country’s soft power and strengthen cultural self-confidence, data and information in the cultural field are undoubtedly of great concern. College students’ inheritance and development of culture plays an important role in the strategy of strengthening national cultural soft power. Applying the technology of big data to the cultivation of talents in colleges and universities is the trend of development in the future. Colleges and universities should examine the value of “cultural data” in big data, adhere to the correct principles of education, and actively explore reasonable and effective ways to serve the cultural education in colleges and universities. This paper will focus on the application of “cultural data” in big data in the education of colleges and universities.
Internet Thinking Boosts Hotel Management Upgrade Path Analysis
Authors: Gao Fang , Li Liangyu 
Published: June 2020

Abstract
The emergence of the Internet has changed the traditional business model and people’s living habits. With the application and development of the Internet + in various industries, traditional hotels are also facing the challenge of transformation and upgrading. By exploring the nature and connotation of Internet thinking, and focusing on the serious pains of traditional hotel homogenization, aging business model, and serious waste of resources, combined with the characteristics and advantages of the Internet, the Internet thinking can be reasonably applied to hotel marketing., product services and internal management, etc., is the key to hotel transformation and upgrading. This paper analyzes the relationship between Internet thinking and its emergence, and combines hotel management to explore its future development path under the Internet thinking.
RETRACTED: Investigation and Analysis of Current Situation of High School Campus Basketball in Huining City Based on Big Data Analysis
Authors: Liu Qingmei 
Published: June 2020

Abstract
This paper adopts methods of questionnaire, literature and interview, etc. It investigates and analyzes the current situation of campus basketball development in Huining senior middle schools from the aspects of students’ motivation, main forms, courses, etc. The results show that the main problems of campus basketball in these schools are as follows, including out-dated basketball teaching content, weak teaching staff, lack of sports court facilities, and insufficient attention of government departments. Thus, it is suggested to strengthen the construction of teaching staff, increase the attention of government departments to campus basketball, and strengthen the construction of basketball court facilities. In this way, we will make the campus basketball of Huining senior middle schools develop better.
Integration of Chinese Traditional Cultural Elements in Modern Graphic Design Teaching Based on Big Data Analysis
Authors: Ding Lifang , He Xuelan , Tang Yawen 
Published: June 2020

AbstractTraditional culture is a reflection of the simple customs, living beliefs and social environment of the Chinese nation, which is very important for the development of the country. Under the influence of economic globalization, Chinese traditional culture has been widely used in modern graphic design teaching. It not only provides rich information for graphic design teaching in China, but also has great significance for the development of Chinese culture and art. The purpose of this article is to study the fusion of traditional Chinese cultural elements in modern graphic design teaching based on big data analysis. This article proposes the integration of classroom teaching and practice, and vigorously implements the “combination of training and training” teaching mode, with “on-site teaching” as the main form. Adding traditional graphic creative design, you can try to design and design works with a sense of the times and history, while mixing with the students’ own, and different emotional factors experienced from traditional culture. Strengthen students’ research and study of traditional cultural theories. In terms of experiments, by conducting a questionnaire survey on students of graphic design in a vocational college, students’ expectations for the form of the course and their views on the role of modern graphic design are obtained. It was concluded that 25% of the students said that they like the teaching style that integrates culture and life. More than half of the students think that graphic design is the carrier of folk culture.
Variation of the frictional anisotropy on ventral scales of snakes caused by nanoscale steps
Authors: Wu Weibin , Yu Shudong , Schreiber Paul , Dollmann Antje , Lutz Christian , Gomard Guillaume , Greiner Christian , Hölscher Hendrik 
Published: June 2020

Abstract
The ventral scales of most snakes feature micron-sized fibril structures with nanoscale steps oriented towards the snake’s tail. We examined these structures by microtribometry as well as atomic force microscopy (AFM) and observed that the nanoscale steps of the micro-fibrils cause a frictional anisotropy, which varies along the snake’s body in dependence of the height of the nanoscale steps. A significant frictional behavior is detected when a sharp AFM tip scans the nanoscale steps up or down. Larger friction peaks appear during upward scans (tail to head direction), while considerably lower peaks are observed for downward scans (head to tail direction). This effect causes a frictional anisotropy on the nanoscale, i.e. friction along the head to tail direction is lower than in the opposite direction. The overall effect increases linearly with the step height of the micro-fibrils. Although the step heights are different for each snake, the general step height distribution along the body of the examined snakes follows a common pattern. The frictional anisotropy, induced by the step height distribution, is largest close to the tail, intermediate in the middle, and lower close to the head. This common distribution of frictional anisotropy suggests that snakes even optimized nanoscale features like the height of micro-fibrils through evolution in order to achieve optimal friction performance for locomotion. Finally, ventral snake scales are replicated by imprinting their micro-fibril structures into a polymer. As the natural prototype, the artificial surface exhibits frictional anisotropy in dependence of the respective step height. This feature is of high interest for the design of tribological surfaces with artificial frictional anisotropy.
Analysis of the Influence of Atmospheric Precipitation on the Spring Level in Jinan
Authors: Lan Xiaoxun , Xing Liting , Dong Yanan , Yao Chunmei , Cao Qianqian 
Published: June 2020

Abstract
In order to realize the rational use of groundwater in Jinan and guarantee the continuous gushing of spring water, a hydrogeological survey was conducted in the study area to collect precipitation and spring water level data over the years, and to analyze the correlation between precipitation and spring water level at different time scales and spaces. Research shows that the correlation coefficient between precipitation and spring water level is the largest in the 1960s, and human activities have less influence on spring water, with the increase of groundwater demand from social development and the implementation of related spring protection measures such as groundwater limitation and replenishment, the correlation coefficient between precipitation and spring water level decreased first and then increased, mining volume remains the main factor affecting groundwater levels; precipitation lag time of Xing long Station, Donghong miao Station and Yanzi shan Station is short. The areas where these rainfall stations are located may be suitable for recharge and replenishment. The research results provide technical basis for spring water protection.
Non-destructive Detection of Blackheart Potatoes Based on Energy Spectrum of VIS/NIR Transmittance
Authors: Han Ya-fen , Lv Cheng-xu , Yuan Yan-wei , Yang Bing-nan , Zhao Qing-liang , Cao You-fu 
Published: June 2020

Abstract
Blackheart disease can cause internal defects in potatoes, which seriously damages the quality and yield of processed potato products and causes considerable economic losses. To achieve online grading of potato, it is important to develop an accurate and reliable method to identify and separate blackheart potatoes non-destructively. A new method of transmitted energy spectrum determination was analysed and adopted innovatively for blackheart potato detection. Three methods, peak area linear discrimination analysis (PA-LDA), peak value linear discrimination analysis (PV-LDA), and peak difference value linear discrimination analysis (PDV-LDA), were used to identify blackheart potato, respectively. All of the three determination methods (PA between 657nm to 750nm normalized by T580, T698/T657, (T698-T657)/T624) could identify blackheart potatoes accurately, and the classification accuracy were 91.69%, 92.43% and 93.69%, respectively. PDV-LDA ((T698-T657)/T624) showed the best performance, whose sensitivity, specificity, and AUC value were 94.86%, 95.19%, and 0.98, respectively. Compared with the general absorbance spectrum determination method, this method has simple operation, stable model, and can realize online detection fastly and accurately.
Rethinking the Way of Life —Synthetic Biology
Authors: Liu Jinjian 
Published: June 2020

Abstract
Synthetic biology is a rapidly developing field which stems from normal genetic engineering, and benefiting from the advances of chemical and physical experimental technology. In doing so, scientists can artificially create or predict certain traits of a creature. Serving as a tool to manipulate gene expression and genome sequence, synthetic biology has multiple applications such as for studying microorganisms, agriculture, environmental conservation, and economy. In the orthodox belief, people are not capable of intervening with inherent gene traits, but as breakthroughs in synthetic biology are constantly made, rethinking of the way of life is needed. Challenges and opportunities always appear simultaneously. Not only were the scientific thoughts shown through the development of synthetic biology invaluable, but people shall consider further topics of life. That is, what can be done with synthetic biology, for humankind and for the world. A brief introduction about this field will be given, and the applications and prospect about synthetic biology will also be discussed. In conclusion, all the advancements in this field have greatly enhanced scientists’ ability to manipulate genomes and have deepened their understandings about the way of life.
Method study for implantation positioning of corn seeds
Authors: Yan Bingxin , Xiao Yuejin , Gao Nana , Mei Hebo , Liu Tianxing , Meng Zhijun 
Published: June 2020

Abstract
To meet the needs of precision agriculture for crop location information, to achieve accurate plant position of crops, and to solve the problem of low resource utilization rate and high operation cost caused by repeated identification and positioning of plants in each part of field management, a seed positioning method was proposed by using maize planting as research object. A 4-row precision planter was used, all seed tubes were replaced with optoelectronic sensor (OE-sensor) equipped tubes to monitor seeds dropping. An RTK satellite receiver mounted on seeder frame girder provided global position. Furthermore, time and distance compensation model of seed from OE-sensor to implantation process was established based on EDEM numerical simulation. Seeds implantation location prediction and actual position measurement data acquisition programs were developed. Field test results showed that the mean, range and standard deviations (SD) of the longitudinal deviation between prediction location and actual position in operation direction were greater than vertical deviation which is perpendicular to operation direction. 87.7% of corn seeds dropped within 50mm from prediction location at operating speed of 3.2 km/h. This method can provide theoretical reference for synchronous generation of seed map in seeding process.