bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on the Application of Fluid Dynamics in Internet Rumor Dissemination
Authors: Wang Yijie , Liu Fengming 
Published: November 2019

Abstract
The spread of network rumors has always been a research hotspot. How information flows in social networks is a question of interest to us. Based on the theory of fluid mechanics, the dissemination model is constructed, and the dissemination mechanism of network rumor is explored. Through numerical simulation, it is found that the flow of rumor information has a strong correlation with the subject of rumor dissemination and their relationship. The dissemination law of rumor information is revealed, which provides theoretical support for rumor control and governance.
A brief analysis of the application research of digital media technology -- taking digital film and television as an example
Authors: Chen Zhe , Zhu Yuqiang , Xu Peng , Liu Ruiqi 
Published: November 2019

Abstract
with the development of Internet science and technology, art has a broader space for improvement. The nonlinear change of computer hardware and software makes digital media technology become one of the widely used technologies in digital film and television. Under the guidance of science and technology, digital film and television art is at the forefront of art. This paper makes an in-depth analysis and research on the development of digital media technology, and puts forward scientific and reasonable solutions to its development prospects in the digital film and television industry, aiming to further promote the in-depth integration of science and art.
Accuracy Improvement of UNet Based on Dilated Convolution
Authors: Piao Shengyuan , Liu Jiaming 
Published: November 2019

Abstract
Though previous approach for the satellite image semantic segmentation task has already achieved reliable performance across some different benchmarks, there are still some limitations for the existing methods when faced with the scenarios of the high-resolution images. In this paper, we propose a powerful dilated convolution module and successfully apply it into our improved UNet network structure. The dilated convolution module can directly expand the receptive field of the network without reducing the resolution. Experiments on DeepGlobe Road Extraction Task have shown that the proposed method in this work can achieve the mIoU score of 63.72%, which significantly outperforms the original algorithm.
The application of cloud network English teaching based on virtual machine technology
Authors: Wang Zhuo 
Published: November 2019

Abstract
With the development of computer technology, the research and practice of computer virtual machine technology in English teaching is gradually expanding, involving the production and use of teaching courseware, the use of teaching software, the use of computer network classroom, campus network, Internet and the practicability of distance learning. These studies and practices show the future development trend of foreign language teaching. This paper focuses on the popularization of cloud computing and virtual machine teaching. By introducing VMware virtualization technology to solve the problems encountered in the process of cloud computing teaching, it fully demonstrates the extensive application of virtualization technology and its irreplaceable role.
Application research of electronic archives information service system based on data mining technology
Authors: Zheng Bigeng , Chen Xinrui 
Published: November 2019

Abstract
With the continuous growth of colleges and universities, colleges and universities have accumulated a large number of precious archival resources. However, the current situation of archives management in colleges and universities is not optimistic, which not only has problems such as backward management, low utilization efficiency and insufficient information level. This paper analyzes the disadvantages of low utilization of information resources, irregular management and inadequate information service in archives management of colleges and universities. On the basis of exploring the information construction of archives in colleges and universities, the data mining technology is applied to the archives information service. Research and development of “university archives information service system based on data mining technology”. This system is used to analyze the archival information of colleges and universities from multiple levels and angles, dig out the information rules and knowledge patterns hidden in the archival data, and constantly improve the standardization and intelligence level of archival management services.
Application research of college English teaching resources based on knowledge base management platform
Authors: Su Fuxing 
Published: November 2019

Abstract
In this paper, based on the knowledge sharing in the college English teaching efficiency is low, and the existing network auxiliary teaching platform in the “information explosion” of potential crisis, with the demand of the teachers and students of high level of knowledge management, make full use of computer network technology, network database technology, on the basis of knowledge discovery technology. This paper constructs a platform model of college English teaching resource system based on knowledge base management platform, and expounds and analyzes the main function modules, implementation technologies, and attention matters in operation and management of this platform. This platform can provide rich knowledge base resources and convenient interactive communication, and improve the level of knowledge management in English teaching. Constantly improve the quality of teaching. Of great significance.
The Research of Path Planning for Transmission Network Based on Improved Ant Colony Algorithms
Authors: Fan Yazhou 
Published: November 2019

Abstract
With the continuous expansion of power grid scale, reasonable transmission network planning is the basis of reliable, safe and economic operation of power system. The path planning for transmission network is a high-dimensional, large-scale and non-linear combinatorial optimization problem, which is difficult to solve by traditional mathematical optimization methods. The ant colony algorithm is a very intelligent bionic optimization algorithm, ant colony algorithm is applied to solve the transmission network planning problem in this paper. An improved ant colony algorithm is proposed, which uses it to search the pathes and reduces the coupling between parameters. On the premise of guaranteeing the convergence accuracy, the calculation speed of ant colony algorithm in the planning for transmission network is improved effectively. The results show that the improved ant colony algorithm in the paper has many advantages in computing time and can search the optimal transmission line path more efficiently.
An Algorithmic Model Building Scheme Based on Dynamic Programming Algorithms
Authors: Li Zhiyong , Chen Weiling 
Published: November 2019

Abstract
Dynamic programming algorithm is a basic tool for solving multi-level decision-making problems, which is widely used in social economy, engineering technology and optimal control. Aiming at the incommensurability of multi-objective programming indices, the relative membership degree matrix of allocation schemes for quantitative and qualitative indices is established, and the analysis method of multi-objective and multi-stage dynamic programming problems is given by using vector and matrix unification. The decision maker determines the decision coefficients of each constraint indicator according to the specific problem and performs weighting processing. The weights of different state variables for different constraint indicators are integrated, the comprehensive weights of state variables are solved, and the original static constraint indicators are transformed into dynamic variables that can influence the decision results. The research shows that the algorithm transforms the multi-stage decision problem into a single-stage decision problem, and solves the optimal value of the expected value through the mixture of random expectation models in a single stage. As long as it is used properly, dynamic planning of this traditional method can be a better way to solve complex problems.
Design and Implementation of Embedded Intelligent Control System Software Programming Based on Genetic Algorithms
Authors: Xu Fenglin 
Published: November 2019

Abstract
Embedded system has been widely used in the fields of production, life and automatic control with its superior performance since it was developed, and it is developing towards a more convenient and intelligent direction. Because of the limited target machine resources of embedded system, it is impossible to build a huge and complex development environment on it, so its development environment and target operating environment are separated from each other. The application program is downloaded to the target machine for cross-debugging. After debugging, the application program is downloaded to the target machine for cross-debugging and debugging. The intelligent control is used to generate the change value of the controller parameters, so that the parameters of the controller are adaptive and robust. Through the modular design idea, the modules are relatively independent, which is convenient for software programming and debugging. In genetic algorithms, after coding to form the initial population, the task of genetic manipulation is to impose certain operations on the individual’s fitness assessment according to their degree of adaptation to the environment.
Research on Traffic Classification Technology of Electric Power Communication Network Based on Hidden Markov Model
Authors: Li Nanfang , Li Zongrong , Zhao Lei 
Published: November 2019

Abstract
With the penetration of information and communication technology into power production and operation, the dependence of power grid on power communication network becomes stronger and stronger, and the reliability and transmission performance of communication network become the key factors affecting the safe and stable operation of power grid. Based on the analysis and comparison of the existing network traffic models, a hidden Markov model with both long-correlation and short-correlation characteristics is selected to fit and predict the traffic characteristics of the power communication network itself. The article focuses on the development and changes of the production and management of power grid companies, and analyzes the company’s business structure and the bearing relationship of various types of power communication networks. The traffic classification technology of power communication network based on hidden Markov model proposed in this paper has higher accuracy and better stability, and the scores of each evaluation index are higher.
Research on Fuzzy Adaptive Intelligent Decision-making in Complex Environment
Authors: Sun Xin , Li Qinyuan , Sun Changhua 
Published: November 2019

Abstract
Decision-making is an extremely complex proposition. Especially with the development of economy, the progress of science and technology and the acceleration of global integration. All walks of life are facing an increasingly complex and changing environment, and decision-making problems are becoming more and more complex. In complex environments, decision-making is made by multiple stakeholders on the basis of increasingly updated self-confidence and repeated discussions. Enterprise-level decision support system is much more complex than individual decision in decision environment, decision process and decision support technology. Multi-objective intelligent decision making is a difference and multi-objective optimization problem. Based on quantitative mathematical models, intelligent decision-making systems lack corresponding support methods for qualitative, fuzzy and uncertain problems in decision-making. Based on the complex adaptation theory, this paper constructs an adaptive intelligent decision support system. The adaptive decision process is analyzed. It is proved that the decision-making platform based on adaptive intelligent decision theory can help decision makers to provide effective decision-making in complex environments.
Analysis of the Relationship between International Service Trade and Economic Growth Based on VAR Model
Authors: Yang Shuai 
Published: November 2019

Abstract
The rapid development of international trade in services and the focus of international trade competition from goods trade to service trade, international trade in services has become a new engine of economic growth, and gradually become an important aspect of international trade competition. The VAR model analysis of international service trade and economic growth correlation, between the two have a long and stable relationship, improve international service trade openness and international competitiveness of trade in services on economic growth plays a promoting role.
Strategy Selection of real estate by SWOT-AHP
Authors: Wu Xinye , Tong Yifei , Zhou Jian 
Published: November 2019

Abstract
The purpose of this research is to use the SWOT-AHP approach to help real estate enterprises to make an effective strategy choice. From strengths, weaknesses, opportunities and threats, the internal resources and external environment of a real estate enterprise are analyzed systematically to identify the factors that affect the business objectives. Then quantify the influence of the factors and determine the best strategy through the AHP method. The combination of SWOT and AHP provides more accurate data for decision makers than the qualitative analysis models. The measures of factor identification and strategy selection.
Design and Implementation of Power Generation Bidding System in Powerhouse
Authors: Ying Zhiwei , Yu Tao , Lv Zhengyu , Shen Yue , Huang Yupeng 
Published: November 2019

Abstract
The electricity market is the main buyer, seller of electricity and related services. The buyer is the electricity user and the middleman, and the seller is the power producer and auxiliary service provider. Based on the comparative we analysis of the bidding mode of the existing power generation electricity market and the characteristics of power grid economic dispatching by the actual situation of China’s national economic development, this paper puts forward two practical bidding modes for power generation electricity market. In a province of electricity market, the proposed model is feasible. This model is conducive to the operation of the power side of the electricity market and a smooth transition, it is also conducive to the optimal allocation of resources to reduce the total cost of electricity generation, reduce user electricity prices, it can also promote the rapid development of industrial and agricultural production.
Application of Data Mining in Recommending Mode of Agricultural Products Market System
Authors: Wu Chunqiong 
Published: November 2019

Abstract
The agricultural product trading system is a system that involves multiple links and multi-agency network-based work management methods. The article describes the overall design, system architecture, network architecture and related modules of the system through flow charts and structure diagrams. The design is implemented, and the database diagrams and attribute fields of related modules are given. The application process of data mining algorithm in the system is studied. Firstly, the data mining workflow is analyzed. Then the data collected by the system is studied. The data preprocessing process is studied, which makes the data set suitable for data mining. According to the characteristics of the data, the decision tree method is used to perform data mining. The data has been preprocessed. Based on the analysis of data and build a decision tree.
The Curriculum Goal Achievement Evaluation Design of IC Design and Integrated System Excellent Engineer CDIO Training Mode
Authors: Lei Jianming 
Published: November 2019

Abstract
The undergraduate major of integrated circuit design and integrated system is an undergraduate major with strong engineering practice. The practice teaching system is very important in the whole training plan of the major components. It plays an important role in talent training quality. This paper studies the practical teaching system of integrated circuit design and integrated system undergraduate major, including construction idea, construction plan, etc. With the acceleration of scientific and technological innovation, the new technological revolution has given new contents to industrialization. Whether it is in China or in the world, the transformation of engineering has brought about new requirements for talent cultivation. On this basis, the education mode of CDIO engineering was carried out, which further accelerated the reform of engineering education. Through the case analysis of professional courses for integrated circuit design and integrated system, it uses the total linear module curriculum structure redesign the professional curriculum system structure based on CDIO.
The design and implementation of university educational administration system
Authors: Tan Jing 
Published: November 2019

Abstract
The J2EE technology industry has been agreed that is a very good software architecture, and it is widely used in many large projects, this paper analyzes the presentation layer of the open source framework based on J2EE technology Siruis, business layer open source framework Spring and data persistence layer framework Hibernoie related technical characteristics, and it based on Siruis + Spring + Hibernoie lightweight J2EE architecture, in the development of college educational administration management system implementation.
Design of Digital Campus Somatosensory Interactive System Based on Unity3D and VR Technology
Authors: Chen Yajing , Luo Xiaoqin 
Published: November 2019

Abstract
With the rapid development of science and technology, new science and technology are constantly impacting on all areas of our lives. As a new technology of human-computer interaction, somatosensory interaction technology is bound to set off a new revolution in the field of education. Based on Unity3D and VR technology, this paper will study the design of digital campus somatosensory interaction system. The application of somatosensory technology in multimedia interactive teaching system can make the teaching system solve many problems of current man-machine system. This article understands the somatosensory interaction and analyzes its application in the teaching model. The results show that the somatosensory interaction technology has more powerful interactive functions and simpler control, and can more intuitively demonstrate the teaching content. So that students can experience the new teaching experience of somatosensory technology in multimedia teaching, making the abstract content in teaching more vivid, visual and concrete.
Research and Design of Digital Logic Virtual experiment system
Authors: Wang Heng 
Published: November 2019

Abstract
The realization of the virtual laboratory includes the construction of the website and the design of the learning system. The design of the learning system is introduced in this paper. In the system, the popular EDA tool Quartus EDA ModelSim is used to construct the virtual experimental environment, and the virtual FPGA is used as the carrier. EDA is used to design, modify, debugs and verifies the circuit. As a learning tool for digital circuit design and experimental simulation verification, it has obvious advantages. The course, theory and technology involved in the teaching of digital circuits are integrated to form a virtual experimental teaching simulation platform for digital circuits which is rich in content, advanced in technology, theory, experiment and simulation, and enriches the teaching methods. The paper presents research and Design of Digital Logic Virtual experiment system.
Optimization of Enterprise Supply Chain System Based on Computer Simulation Technology
Authors: Feng Xi , Sha Beibei 
Published: November 2019

Abstract
The production logistics is the unique of the factory enterprise which makes the product, it is synchronous with the production, and the production process is carried out in a certain workshop scope. Therefore, the layout design of the logistics system is a prerequisite for the advantages and disadvantages of logistics system. The layout of the workshop layout design determines the production logistics, production logistics is reasonable, smooth, not too much cross and move back to the enterprise efficiency is very important. The good and bad of the layout design of an enterprise’s workshop not only determines the running status of the logistics system, but also is one of the key factors to achieve the high efficiency. The Pudong Shanghai Zhenhua Port Machinery Co., Ltd. reducer manufacturing workshop as the object of empirical study, through the layout of the workshop, production process and the logistics situation of study and application of enterprise logistics system analysis theory and method of optimization, of workshop facilities and logistics to re layout design, the logistics more reasonable, improve work efficiency, and the application of efactory software on the system before and after optimization modeling and analysis, and further comparative analysis of the results, thus proving the effectiveness of the optimization scheme.
Research on Pedestrian Detection Algorithm Based on Image
Authors: Wang Boyi 
Published: November 2019

Abstract
Pedestrian detection is an important application of target detection. It is an important foundation in many fields, such as unmanned vehicle driving, intelligent monitoring system, pedestrian analysis and robot development. Despite a lot of research, pedestrian detection methods still have many problems to be solved urgently. In order to sort out the existing pedestrian detection algorithms, this paper will summarize and analyze the advantages and disadvantages of these algorithms. The two methods of traditional algorithms and deep learning algorithms are used to discuss pedestrian detection, analyze and compare the results of the two types of algorithms, and finally target pedestrians. The detection algorithm is expected.
Study on the Influence of Walking Speed on Human Upper Limb Movement Characteristics
Authors: Hao Ding , Shengchao Liu , Lulu Jin , Gaofeng  , Qiaogen Rui 
Published: November 2019

Abstract
Objective: To study the characteristics of the upper limb swing trajectory during different speed walking, and to analyze the different characteristics of the person walking at different speed, so as to provide a new way for the exclusion and identification of suspects or the control of important venues in criminal investigation. Methods: This paper measured and analyzed the angle of elbow joint and the amplitude of upper limb swing during walking of 10 healthy young men. Results: The general rule of the effect of walking speed on the elbow joint angle and the amplitude of upper limb swing was summarized. Conclusion: The change of walking speed during walking is related to the movement characteristics of upper limbs, and the left and right arm movements of the same person and the upper limb movement characteristics of different people are different.