bluuebunny/crossref_metadata_2025_split huggingface dataset:
Application of Artificial Intelligence in Dynamic Image Recognition
Authors: Hu Yonghua , Yang Dongning , Zhang Zhisheng , Yang Tianchun , Peng Junshu 
Published: June 2020

Abstract
The artificial intelligence technology development, also makes every aspect in the field of artificial intelligence technology, the society, how to make artificial intelligent technology a good development in the field is an important problem in the development of the current world, how to make artificial intelligence technology better application in the dynamic image recognition is currently an important problem in the development of artificial intelligence technology. The purpose of this paper is to study the application of artificial intelligence in dynamic image recognition in the Internet era. This article from the perspective of promoting good application of artificial intelligence, by the age of the Internet development as the background, on the basis of the related theoretical background and practical basis, in order to promote good application in the dynamic image recognition of artificial intelligence as the research object, from the application of artificial intelligence in the dynamic image recognition field, and the commonly used method of image recognition, find out the present situation of the application of artificial intelligence in the dynamic image recognition and application of existing problems, and based on this put forward to promote artificial intelligence in the dynamic image recognition application solutions, in order to realize the sustainable development of artificial intelligence in dynamic image recognition. The experimental results show that artificial intelligence is widely used in dynamic image recognition, but there are some defects. The solution proposed in this paper can solve its application defects, to a certain extent, for the sustainable development of artificial intelligence in various fields can provide referential advice.
Practical Application of Artificial Intelligence in the Construction of Ancient Fengshui Buildings
Authors: Yan Liang , Jing Jing 
Published: June 2020

Abstract
At present, artificial intelligence technology has affected many industries in the development of modern society, providing structural transformation opportunities for the sustainable innovation and development of traditional industries. The theoretical research on artificial intelligence technology and the guidance of architectural practice can be used by Fengshui building culture, as an important component in traditional Chinese. It not only plays a positive role in inheriting the excellent culture of Oriental architecture, but also has important significance in promoting the concept of natural harmony of human settlements and guiding the healthy life. The development of the theoretical and practical wisdom under the natural concept of human settlement in ancient China requires the interdisciplinary vision and technical support. Using the advanced technical advantages of big data and artificial intelligence can complete the database of building resources and the practical technology and can guide the current architectural styles, so as to produce the real situation of natural harmony of human settlements.
Application of Deep Foundation Pit Support Technology Based on Big Data Analysis in Construction Engineering Construction
Authors: WanYan DouJin 
Published: June 2020

Abstract
In recent years, the rapid development of deep foundation pit support projects has become an important problem in urbanization construction. The role of deep foundation pit support projects in the construction and development of large and medium-sized cities has become increasingly important. In order to ensure the safety of foundation pit engineering and avoid accidents, people not only need to strengthen supervision in survey, design, construction and other aspects, but also apply monitoring technology to foundation pit engineering, so that engineering and technical personnel can master the dynamic changes of foundation pits. Improve the early warning capability of foundation pit engineering. In this paper, by using big data internet thinking and deep foundation pit support technology, real-time monitoring simulation prediction of foundation pit support structure in building construction is performed. Use big data to make a comparative study on the application scenarios of deep foundation pit technology in building construction, and use mathematical analysis and mathematical statistics to verify the collected data, so as to achieve the purpose of monitoring and prediction. So as to lay a theoretical foundation for the formulation of foundation pit support construction plans and foundation pit monitoring construction plans.
Research on the Development of the Integration of the Internet and Tourism Industry
Authors: Lin LiQing 
Published: June 2020

Abstract
With the improvement of living standards, the proportion of tour expenses has risen rapidly in household leisure consumption. Additionally, traditional tourism has been more and more integrated with the web since the blooming of the internet industry. This trend is the core driving force for the further transformation and upgrading of the traditional industry. Under this context, this paper extends research on the development of the integration of the internet and tourism industry, including the background, definition of “Internet + tourism”, problems and its growing trend.
Application of Statistical Analysis Tools in Historical Research
Authors: Bao QiuYuan 
Published: June 2020

AbstractStatistics is a scientific method of collecting, organizing, and analyzing statistical data. Its purpose is to explore the inherent regularity of data in order to achieve a scientific understanding of objective things. Statistics provides a set of methods for exploring the inherent laws of data. Using statistical methods, it is possible to explore its inherent quantitative laws. Statistical data is a quantitative expression of objective things.
Research on Hot Spots of Social Medicine and Health Management Based on Knowledge Map
Authors: Liu Liang 
Published: June 2020

Abstract
Knowledge map is the product and tool of the era of knowledge revolution. It can help people learn the frontier knowledge of science and change the way people observe the world. A large number of studies show that knowledge map can be applied to all areas of our society. Social medicine and health management is an interdisciplinary subject, and its research field is very extensive. This paper summarizes the knowledge map and analyzes the role of knowledge map in social health management. Finally it draws the corresponding conclusions.
Thinking and Practice of Medical Student Management Based on Internet +
Authors: Lv Bao 
Published: June 2020

Abstract
In the information age, the management of college students is also facing an important opportunity of transformation and upgrading. Traditional medical students’ management is faced with the difficulties of quality control data fragmentation, quality control data initialization and incomplete quality control data. With the help of Internet technology, data collection is more convenient. Through the sharing of data, data analysis can make student management more personalized, proactive and accurate. In practice, with the help of mobile phone QR code technology, we can realize the timely management of students’ attendance management, education information dissemination and education activity evaluation [1-2]. With the help of big data technology, we can realize the precise and individualized management of the students’ precise aid, academic warning, and personal “portrait” and so on so that data can serve the students’ development.
RETRACTED: Application of Multimedia Courseware in the Ideological and Political Classroom Teaching in Higher Vocational Colleges in the Big Data Era
Authors: Zhao Xia , Wang Dong , Liu Dan 
Published: June 2020

Abstract
With the coming of the big data era, massive data and the progress of related data collection and analysis technology have brought unprecedented challenges and opportunities. “Multimedia courseware and contemporary” is a core course that cultivates the ideological, which requires a combination of the characteristics of the big data era and higher vocational college students for overall planning and communication. Marxism and socialism theoretical resource databases with Chinese characteristics are established and improved to guide the students at higher vocational colleges to participate in the course discussion using the big data, thereby improving the teaching quality and effect, and helping them grow into high-level innovative talents with political integrity, professional competence, and overall development.
RETRACTED: Fusion Development of Ideological and Political Teaching with Information Technology in the Big Data Era
Authors: Zhang YuJia 
Published: June 2020

Abstract
The fusion of ideological and political teaching with the information technology is an inevitable trend in the “big data era”. After fusion with information technology, ideological and political teaching not only highlights the new technology in form but the nature, value and function of ideological and political teaching have also changed tremendously. However, compared with the requirements for their deep fusion, there are still some problems at present. The relationship between them is still “combination”, not fusion. The goal of fusion includes many aspects, such as the relative decrease in the teaching modes, the disappearance of online education concept, the emergence of customized learning, etc. The fusion strategy of ideological and political teaching with the information technology is mainly converting ideas, conduct in-depth study, improving the application skills of teachers through multiple methods, strengthen subject teaching research and application guidance and necessary information technology support, to provide a new perspective for the fusion of ideological and political teaching with information technology.
Influence of Ancient Chinese Literati’s Autumn Melancholy on the Tale of Genji Considering Computer Data Analysis Technology
Authors: Na Qi , Fei Deng 
Published: June 2020

Abstract
As the most representative work of Japanese classical literature, the Tale of Genji can be referred to as a tragedy classic. Its description of the scene of “Things” is complex and vivid. The changes of external things induce fluctuation of subjective feelings and thoughts of people. To explore the autumn, one of the seasons in the Tale of Genji, the author exects to further understand how the main character’s deep sorrow and nostalgia are shown in the volume Emperor Kiritsubo through the depiction of autumn scenery.
Teaching Reform of Ideological and Political Courses Based on “Internet +”
Authors: Luo Jing 
Published: June 2020

Abstract
In the “Internet +” era, with the development of the network technology, new types of teaching models, especially the Massive Open Online Course (MOOC), have extensively emerged. The teachers of ideological and political course are facing unprecedented opportunities to carry out the reform of the teaching model as well as many challenges at the same time. The majority of teachers in the ideological and political education should seize the opportunity offered by this era, and actively act as a guide to speed up the reform of the ideological and political education and promote the in-depth integration of the network information technology with the education and teaching, thereby improving the teaching effect of the ideological and political courses
Blending Bilaterally Filtered Oil Painting Expression Techniques and Stylistic Rendering of Calligraphy Strokes Combining the Background of Visual Importance
Authors: Liu XiaoFeng 
Published: June 2020

Abstract
To transform real images into an oil painting style, a bilateral filtering algorithm based on the background of visual importance is proposed. Firstly, the improved bilateral filtering and mathematical morphological operations are combined to a multilayer reference image sequence with a pyramid structure according to the features of oil painting drawing. Subsequently, the stroke layout algorithm based on the visual importance diagram is proposed. The human face, visual focus detection, and other methods are used to detect the influential region. In addition, the starting point of brush drawing, the improvement of direction calculation accuracy, and the enhancement of the image texture boundaries are performed according to the information of these regions to implement the oil painting expression techniques and achieve the highlight effect of the stylistic rendering contents of calligraphy strokes. The experimental results suggest that the bilateral filtering algorithm can be used to achieve relatively good visual effects in the background of visual importance.
Research on Piano Performance Based on Big Data
Authors: Zhang Yang 
Published: June 2020

Abstract
With the continuous development of the Internet era, the sharing of audio and video resources for piano music is more and more obvious; you can easily find the required video and audio. The enthusiasm of the people to learn the piano more and more high, piano teaching market is becoming more and stronger. However, in the field of piano teaching, there are still some pain points: the current teacher resources cannot fully meet the needs of students for piano practice. Therefore, at present, many companies and institutions are beginning to apply computer technology to piano practice. For actual piano teaching scenario, this paper designed and implemented a proprietary hardware, closely integrated with offline teaching scene, simple and easy to use, interactive is strong piano practice system. Based on the change of sound, visual data is obtained, and piano performance is studied by combining professional knowledge, harmony, musical expression terms and other conditions.
Research on the Innovation and Integrated Development of College Ideological and Political Work Based on Short Video Recommendation Model
Authors: Yu ChunMei 
Published: June 2020

Abstract
While enriching the life of college students, they also bring some negative effects; short videos are widely welcomed by people because of their rich content and diverse shooting methods. This paper analyses the positive and negative effects of short video era on ideological and political education, and proposes ideological and political teaching strategies. The arrival of short video is a double-edged sword for counselors to carry out ideological and political education for college students. This paper analyzes the opportunities and challenges of short video to carry out ideological and political education for college students, actively explores the construction of short video recommendation model, and seeks the work path of ideological and political education for college students.
The Marina Cold Chain Logistics Management System Based on Cost Weighted Shortest Path Algorithm
Authors: Tan Lin 
Published: June 2020

Abstract
As an important form of modern transportation, cold chain logistics plays an important role in the modern logistics system. However, with the improvement of people’s living standards, the requirements for cold chain logistics are higher and higher. The current transportation mode of cold chain logistics cannot meet the strategic requirements under the background of modern logistics. Based on this, this paper first studies the cold chain logistics system management model in marina areas, then analyses the application of the shortest path algorithm in the cold chain logistics management in marina areas, and finally studies the example of the cold chain logistics management in marina areas based on the cost weighted shortest path algorithm.
Mechanical Reliability Analysis and Optimization Design Method Based on Evidence Theory
Authors: Yang Xiaoxing 
Published: June 2020

Abstract
The analysis and design of mechanical structures and systems has a long and in-depth research history, and has achieved fruitful results. In fact, in the traditional analysis and design of mechanical structures and systems, people have found that there are a lot of uncertainties in the disciplines of system science, transportation science, and management science. It is difficult for traditional deterministic design methods to effectively deal with this type of problems. Uncertainty issues, such as the uncertainty of the shape and size of the structure due to the influence of processing technology, processing equipment, environmental factors and human factors in the manufacturing process, these inaccurate and uncertain information mainly come from the processing technology, Processing equipment, environmental factors, and man-made factors, and evidence theory can effectively model the problem of cognitive uncertainty in engineering, using probability intervals composed of credibility and likelihood to describe the cognitive uncertainty brought about by Impact. This article introduces the basic concepts of evidence theory and the basic process of reliability analysis of conventional evidence theory, and optimizes it to a certain extent. Then, this paper uses the optimization method and conventional methods of this paper to deal with a practical engineering problem, and compares the results. The final research results show that the optimization method in this paper is more effective than conventional methods, and it is concluded that the theory of evidence is indeed applicable to mechanical engineering, and it can effectively analyze the reliability of machinery.
Design and Implementation of Logistics Management System Based on SSH Technology
Authors: Cui Xiaoning , Xie Chao 
Published: June 2020

Abstract
Economic globalization and the rise of e-commerce make the scale of modern logistics company’s cargo transportation more and more large. In this context, the service quality of logistics enterprises often depends on the future of logistics enterprises. Through the establishment of a scientific logistics management system, comprehensive integration of logistics management information, optimization of its process, and ultimately achieve the purpose of improving the efficiency of logistics management business, reducing operating costs, and enhancing the competitiveness of enterprises.
Career development of College English Teachers in the Era of Big Data
Authors: Zhu Xuemei 
Published: June 2020

Abstract
The deep embedding of big data in education is reshaping the ideology and daily practice of teaching and learning, which requires and promotes the college English teachers’ development from “experience-based” to “data driven”. In order to clarify the career development of college English teachers, this paper, using the methods of literature analysis and logical analysis, examines the challenges to college English teachers and puts forward four approaches for their career development in the ear of big data. Of all these approaches proposed, establishing online cooperation alliances and promoting data literacy deserve more attention, because the analysis and utilization of learning data are two important dimensions in the data-driven teaching. College English teachers should be committed to trying new ways and improving their abilities so as to meet the challenges of the big data era.
Paths for Improving Employment Competitiveness of Students with Financial Difficulties at China’s Border Higher Institutions
Authors: Lu Yun , Li Jie 
Published: June 2020

Abstract
Students with financial difficulties in border higher institutions are a special group of students who come from economically difficult areas and families. Because of information occlusion, low school visibility, and solidified employment concepts, their employment competitiveness has many deficiencies compared with their peers. Students with financial difficulties in border higher institutions generally have problems such as poor comprehensive quality, weak ability to resist employment setbacks, and low professional maturity. The border higher institutions should establish complete electronic information archives for students with financial difficulties, build a social support system for students with financial difficulties, strengthen education on employment setbacks students with financial difficulties, and improve their employment competitiveness.
Effect of Pigai.org on English Majors’ Writing Self-efficacy and Writing Performance
Authors: Li Zhang , Yan Dou 
Published: June 2020

Abstract
With the deepening of college English teaching reform, modern educational technology and network teaching platform are gradually applied to college English teaching. As to the English writing, using the automatic scoring system to automatically evaluate the students’ composition has become a new trend. Pigai.org, as one of the many automatic scoring systems in China, has received great attention at home and abroad due to its advantages of timely feedback, high working efficiency and wide application. The thesis conducted a three-month English writing experiment to study the effect of Pigai.org. This experiment used 39 sophomores of English major as the research subject and adopted English writing self-efficacy questionnaires, English writing tests and interview as the research methods to further discusses the influence of Pigai.org on writing self-efficacy and writing achievement of the subjects, so as to effectively play the role of the Pigai.org in the teaching of English writing. The results of this research were as follows: firstly, the English writing self-efficacy and the English writing achievement of the subjects were improved after using Pigai.org by and large. Secondly, using Pigai.org had different influence on the self-efficacy and the writing achievement of students in different levels. The experimental results showed that the effect of Pigai.org on low-level students was more significant than that of high-level students.
BIM Impact Assessment of Landscape Architecture Design
Authors: Meng Yanyu , Wu Nan , Li Yelin , Zhu Chongyang , Kong Lingming 
Published: June 2020

Abstract
In order to determine the influence degree of building information model (BIM) on the stage of landscape architecture design, firstly, this paper analyzes the influencing factors of the application of BIM in landscape architecture design based on the theory of balanced score card (BSC), and then establishes the hierarchical evaluation model of BIM influence degree by using analytic hierarchy process (AHP). Finally, realizes the quantitative evaluation of BIM influence degree. The research results show that based on the level evaluation model of BIM influence degree, the transformation from qualitative analysis to quantitative evaluation of BIM application in landscape architecture design stage is realized, which proves the feasibility and practicability of BIM application in landscape architecture design stage.