bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Intelligent Detection Technology of Short-term Flashover Fault in High-Power Main Network Power Systems
Authors: Yimin Ding , Hai Jin , Ming Fan
Published: November 2019

Traditional detection techniques are affected by surrounding factors and cannot accurately determine the location of the fault point. In order to solve the problem, a short-term flashover fault intelligent detection method in the paper is proposed for high-power main network power system. The short-term flashover fault feature of the high-power main network power system is extracted by the wavelet-type wavelet packet energy moment. The CPRS networking mode is used to intelligently detect the short-term flashover fault of the high-power main network power system. Experiments show that the proposed technique is more accurate than traditional detection techniques.
Application of Adaboost Algorithm on Automatic Detection of Electrical Equipment Operation Status
Authors: Xue Zhicheng , Gao Wenjiang , Li Xuan , Weinan Wu
Published: November 2019

The algorithm can integrate weak classifiers that are slightly better than random guesses, and output strong classifiers with higher classification accuracy. In order to further improve the classification accuracy of the algorithm, an infinite dimensional algorithm based on support vector machine is established. The key to realize the infinite dimensional algorithm is to establish a new support vector machine kernel function, so that this kernel function integrates infinite multiple algorithm weak classifier. The infinite dimensional algorithm is used for analog circuit fault diagnosis. The fault diagnosis results show that the classification accuracy of the infinite dimensional algorithm is better than the finite dimensional algorithm, which improves the classification accuracy of the algorithm. Based on the analysis of the operation status and fault diagnosis of modern electrical equipment, this paper discusses the necessity and possibility of monitoring the operation status of electrical equipment, and takes the method of electrical operation monitoring and the method of fault diagnosis as the research object. The methods and fault diagnosis methods of current electrical equipment operation monitoring are expounded. On this basis, the future development trend of equipment operation monitoring is explained, and the importance of online monitoring development is analyzed.
Design and Fabrication of RCM structure used in Surgery Robot System
Authors: Guo Kai , Liu Yongfeng , Yang Hongbo , Zhao Shasha , Zhang Yingying , Wang Zhisen , Liu Bin
Published: November 2019

Minimally invasive surgery is performed by using a slender rod-shaped surgical tool to penetrate into the body through a tiny incision on the surface of the human body. Compared with traditional open surgery, minimally invasive surgery can reduce surgical incisions and surgical scars, shorten recovery time, reduce bleeding volume and complications. At present, minimally invasive puncture surgery is basically performed by experienced physicians. The puncture procedure lasts for a long time and the physician’s energy is limited. Therefore, the development of automated minimally invasive puncture robots is of great significance. This paper studies the structure and control of remote motion centers in minimally invasive surgical robotics.
Research on the Application of Fluid Dynamics in Internet Rumor Dissemination
Authors: Wang Yijie , Liu Fengming
Published: November 2019

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.
Application of virtual reality technology in industrial design
Authors: He Jinghao
Published: November 2019

In expounds the principle and method on the basis of industrial design, emphatically discusses the basic concept of virtual reality, virtual product design modeling method and process, and points out that the application of virtual reality technology in industrial design greatly sped up the cycle of product design.
Design of Digital Campus Somatosensory Interactive System Based on Unity3D and VR Technology
Authors: Chen Yajing , Luo Xiaoqin
Published: November 2019

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

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

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

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

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.
Research on Environmental Management and Monitoring Technology of Solid Waste in China Based on Knowledge Map
Authors: Jiang Chengwei
Published: November 2019

In recent years, environmental governance has attracted wide attention of domestic academia, and relevant research has achieved fruitful results. Some scholars have used bibliometric methods to discuss the current research situation of environmental governance, but few have analyzed the current domestic research path of environmental governance. Based on the key words, authors and authors of the 8962 journal articles on the environmental management and environmental monitoring technology of solid waste in China from 2016 to 2018, the article uses CiteSpace software to apply knowledge maps and common word analysis. A variety of quantitative analysis methods such as cluster analysis and strategic coordinate graph analysis. The knowledge map in the field of environmental monitoring is constructed, and the map is analyzed and interpreted. The analysis results show the structural characteristics of Chinese solid waste environmental management and environmental monitoring technology in the form of knowledge map, and obtain the research frontier and its evolution law in this research field.
Frequency Domain Control Simulation of In-Wheel Motor Electric Vehicle
Authors: Li Shaobin , Zhu Jianjun
Published: November 2019

Aiming at the optimization of the suspension structure and control strategy of electric vehicle driven by hub motor, a magnetorheological suspension fuzzy control form based on the idea of ceiling was proposed to optimize the suspension system. Taking a hub motor driven electric vehicle as the research object, a vehicle simulation model was established in Matlab/Simulink. Taking the vertical acceleration, pitching Angle acceleration and roll Angle acceleration of the vehicle as the optimization target, the smoothness of the vehicle was simulated and analyzed and compared with the initial hub motor drive form. The simulation results show that the proposed optimization method is effective and provides a new way to further study the optimization method of hub motor driven electric vehicle suspension parameters.
The design and research based on office automation system
Authors: Li Zhihao , Guo Weihong , Wang Wenlong
Published: November 2019

This article focuses on the objective trend of the development of office automation system design technology starting from the requirements of office automation system and functional module design through the analysis and comparison methods of a large number of references, contrast method of office automation system and function modules design are the database used in the system implementation of office automation system and hope to provide an effective reference for office automation system developers. Firstly, this paper is designs for the three dimensional aspect of office automation system function module, office automation system authority design and office automation system interface design. This introduces the requirement of office automation system and function module design. Secondly, from the two aspects of database conceptual design and logic, the paper can be analyze as the design of the database used in the office automation system. Finally, from the two aspects of documental organization structure, office automation system operation interface and code, the paper is studied to be the office automation system realization, hoping that this research will lay a certain theoretical foundation for the design of office automation system.
Design of Automatic Cable Path Detection System Using Electronic Marker
Authors: Tian Rongming
Published: November 2019

Power cable is more and more widely used. But once the cable breaks down, and the direction and location of the cable are not clear, path detection is the first step to eliminate the cable breakdown. After the information of underground cable jacking is detected by detection equipment, positioning and identification are carried out to form management files, and power pipe jacking is managed by information management mode, which can reduce the loss caused by cable jacking accident and the harm to operation and maintenance. In this paper, the cable path detection, cable short-circuit point positioning and electronic marker are integrated. The cable path automatic detection system is designed by using the single-chip fuzzy controller. The self-adjusting fuzzy control scheme is proposed and the hardware and software design of the system is given.
Research on Synchronized Recognition System of Literary Works Based on Tesseract-OCR Model
Authors: Zhou Zilan
Published: November 2019

Using mobile terminal for image and character recognition can solve the dilemma of the traditional large-scale scanning equipment, such as complicated steps and inconvenience in moving, and provide great convenience for mobile learning and office. As a direct and concrete manifestation of objective things, images are rich in information, which is incomparable in other ways. Therefore, the importance of images is self-evident. Recognition of graphics and text information of terminal equipment can solve the disadvantage of large-scale equipment, such as difficult to move and complicated use steps, and can make office and mobile learning more smoothly. Tesseract-OCR is powerful in open source OCR. Based on Tesseract-OCR model, this paper puts forward the corresponding improvement scheme for the defects such as irregular graphics and characters, and inconspicuous image and text recognition system, and carries out synchronous preview and recognition of image and text as much as possible. The graphic publication of literary works reflects readers’ impetuous reading mentality, the popular trend of literature trend and the management crisis of publishing houses.
Analysis and Research on Energy Absorption and Utilization System of Regenerative Braking in Rail Transit Based on Super Capacitor
Authors: Jia YaJuan , Wang JuanJuan , Xie GuoKun
Published: November 2019

Since the 1950s, with the acceleration of urbanization in the world, the urban population has gradually increased. Due to the increase of floating population and road vehicles, urban traffic shows a rapid growth trend. As a mass and high-density public transport, urban rail transit has attracted worldwide attention, and three-dimensional rapid rail transit has been adopted to solve the worsening urban traffic problems. As a mass, fast and punctual public transport, urban rail transit needs frequent start-up and braking. As the traditional traction power supply substation cannot absorb energy in reverse direction, the excess energy generated during vehicle regenerative braking cannot be reused, resulting in energy waste. Therefore, this paper studies the regenerative braking energy absorption and utilization technology based on supercapacitor, and stores the excess energy generated during vehicle regenerative braking into the supercapacitor energy storage system. And the energy in the supercapacitor energy storage system is released when the vehicle starts to accelerate, so that the regenerative braking energy is fully and effectively utilized.
Research on Key Technologies of Substation 3D Interactive Scene Simulation Based on Virtual Reality Technology
Authors: Hao Dai , Zhenbao Yang , Zhicheng Xue , Zhiwen Cui
Published: November 2019

The application of virtual reality technology in power industry training has become a new trend. The realization of substation virtual reality technology simulation system based on three-dimensional interaction has a great role in promoting power system simulation training. In the absence of any operational hazards, the operation characteristics of underground substations are comprehensively understood and learned, so as to improve operational safety awareness and operational skills. Applying three-dimensional interactive technology to construct virtual environment for substation simulation system can greatly improve the reality of substation scene. At the same time, connecting power system simulation software with virtual substation to simulate various operation states of substation brings technological leap for substation simulation training. Users can draw the scene map of the two-dimensional substation and quickly convert the corresponding three-dimensional simulation scene. The simulation scene presented by the three-dimensional substation has realistic effect, which is more suitable for simulation training in practical application of the substation and has stronger practical significance and practicability in application.
Research on Anomaly Detection Algorithms for Financial Data Based on Angle
Authors: Hong Yuanyuan
Published: November 2019

With the emergence of more and more massive data, under the background of large data, the existing angle-based anomaly detection algorithms have the problem of too much computation. Based on this, this paper improves the angle-based anomaly detection method, and proposes an angle-based anomaly detection method based on Data Center for anomaly detection of large amount of network financial transaction data. By establishing data update mechanism for different data sets, real-time data detection can be carried out.
Study on two-dimensional code recognition algorithm in non-uniform illumination based on digital images processing technology
Authors: Jin Jing
Published: November 2019

It is possible that the shaded area was mistakenly identified based on digital images processing technology with non-uniform illumination. The binarization algorithm of two-dimensional code was optimized to this problem. The local area threshold of the image and the pixel-by pixel sliding calculation are used to eliminate the influence of the illumination on the image, thereby improving the recognition rate of the two-dimensional code image which contains the shadow. Experimental result indicate that the method has a stronger adaptability to images with shaded areas, especially for unilateral shadows which are less ideal for block resolution. Compared with the classical global Ostu algorithm, the recognition rate of the image is increased by about 3 times.
The Research on User Interest Mining Based on Deep Learning
Authors: Song Yi
Published: November 2019

This paper, user behavior depth technology is studied, so that user information and search engine can interact intelligently. The system can get information that is conducive to mining users’potential search interests and preferences, so as to use this information to guide the search process and results filtering, and achieve efficient and accurate retrieval. The research process uses the mining of user logs of large data search engines, the establishment of user query classification system, and the deep mining of the behavior of user groups with different characteristics. User social network can be used to create a retrieval system in which users cooperate with each other because of their similar interests. This paper studies the calculation and method of user interest similarity to discover user groups with similar interest. User relationship network and system mining user relationship network are compared to promote the integration of the two and provide a basis for the application of recommendation system.
UAV Transmission Line Inspection Object Recognition based on Mask R-CNN
Authors: Liu Yi , Huo Haolin , Fang Jiefeng , Mai Junting , Zhang Shengxiang
Published: November 2019

Currently, unmanned aerial vehicles (UAV) are applied to routine inspection tasks of power transmission devices. Deep-learning algorithm and machine vision have attracted much attention in the field of the UAV’s autonomous control as it’s an effective way to improve the efficiency of inspection. Considering the differences between the distant and close view, this paper adopts Mask R-CNN to detect various components of power transmission devices but use the methods such as processing of the edge, hole filling and Hough Transform identify the wires in distant. Some major components, such as pole, truss, cross arm, insulator string and so on, can be 100% recognized. This proposed model shows the characteristics of high recognition speed and high accuracy, which can assist UAV to inspect well.
Application Analysis of Visual Design Elements of WeChat Mini Program
Authors: Zhao Lingli
Published: November 2019

With the wide popularity of intelligent mobile terminals, WeChat terminal Mini Programs have replaced independent applications and quickly become an indispensable demand in learning and life. The visual effect of the applet has become an important factor to measure the success of the design of the applet and whether the user is willing to pay attention to it. As a designer, visual effects are an important part of the development and design of mobile applications. This paper discusses the requirements of visual design of mobile application applet, aiming to provide reference for designers.
Evolution Analysis of Adaptive Distance-Preserving Level Set for Image Segmentation Based on Depth Learning
Authors: Wang Jinpeng , Li Jing
Published: November 2019

Image segmentation technology is the most basic part of computer vision and the basis of all other image processing methods. The quality of image segmentation technology will affect the effect of subsequent processing to a large extent. In the research and application of computer vision, image segmentation is often the first step and plays a very important role in the whole process. Compared with image classification and target detection, Distance-Preserving level set method involves two cross-cutting areas of image recognition and natural language processing, which is very challenging. Handling the information interaction between the machine and the real world is the first step in the study of artificial intelligence. The goal of computer vision research is to make the computer have the ability to perceive and understand image information. In the future, the focus of the work will be on improving the generalization ability of the model so that the model can perform well in a variety of tasks.
Application of data mining technology in regional economic analysis
Authors: Zhu Siyu
Published: November 2019

China’s economy is developing rapidly at present, but the uncoordinated development among different regions still exists. Meanwhile, as the technology of data mining, a pair of data distribution characteristics and change rules, is gradually mature, it is also being applied in more fields. Therefore, this paper will study the specific application of data mining technology in economic analysis of folk art from the two aspects of k-means clustering algorithm and weighted CADD algorithm respectively.
Design and Research of Data Service Platform Based on RESTful
Authors: Yu Airong , Yu Peiyi , Lai Jun , Niu Yanjie
Published: November 2019

Based on the analysis of research on existing data service technology, in view of the existing problems of data service release and data access efficiency. In this paper, a design scheme of test data service based on RESTful is proposed. The system implements abstract description and encapsulation for typical application scenario, real-time storage, which applies JSON data exchanging and releases REST service with standard interface. Application result shows that the proposed Data Service Platform Based on RESTful scheme benefits a lot in resource sharing and service extension in Experimental Data Management System.
Research on Time-of-station Prediction of Tram Based on Support Vector Machine
Authors: Yang Kang , Zhao Cui
Published: November 2019

At present, the traffic of the T1 line of the trams in Hanyang District of Wuhan City is based on the GPS positioning. The arrival time prediction based on GPS positioning will be biased due to the sudden situation. Based on the GPS data of the tram, this paper proposes a tram-to-station time prediction model based on SVM (Support Vector Machine). The SVM support vector machine model after a large amount of historical data training is used as the time reference and the arrival time. Make dynamic adjustments. Taking the T1 line of the vehicle-based tram in Wuhan Hanyang District as an example, the prediction result of the arrival time prediction model is compared with the prediction result obtained by single GPS positioning. The results show that the model is applied to the prediction of the arrival time of the tram. Good applicability and higher prediction accuracy.
Development and Optimization Design of Digital Logic device based on FPGA
Authors: Wang Heng , Chen Xinrui
Published: November 2019

FPGA is the abbreviation of Field Programmable Gate Array. The corresponding CPLD is the abbreviation of complex Programmable Logic device. So sometimes the difference can be ignored, collectively called programmable logic devices or CPLD/PGFA. FPGA has a universal structure of masked programmable gate arrays, which is arranged by logical function blocks and connected by programmable interconnection resources to implement different designs. The basic function of a digital electronic clock based on FPGA is designed, simulated and realized by using digital electronic technology, such as FPGA and so on.
Design and implementation of automobile sales management system
Authors: Wang Rongmei
Published: November 2019

Sales enterprise in management appears fragmented and incoherent customer information make enterprise management or relevant personnel cannot view all of the data and related information, customer information that results could not keep consistent and complete, use the computer to car sales information management, has the crafts incomparable advantages. Quick retrieval, convenient search, high reliability, large storage, good confidentiality, low cost. These advantages can greatly improve the efficiency of automobile sales management, but also make the enterprise can be scientific, standardized management, and the system USES advanced block encryption algorithm, so that the system has a very powerful data security performance, increase the accuracy of information analysis. As a sales management system, it can query, browse and store goods, which is of great significance to improve work efficiency. The system also has good flexibility and openness. Users can easily manage the various projects, change the current management content.
Design and Implementation of Traditional Residential Protection and Development System Based on View of Landscape Information Chain
Authors: Wang Ren
Published: November 2019

As one of the typical building types adapting to the special terrain in mountainous areas of China, traditional residential buildings not only have a long history, but also have unique cultural and artistic value. However, in recent years, with the development of economic globalization and urbanization in rural areas, the protection of traditional residential areas in mountainous areas, especially the traditional residential types in mountainous areas, has become more and more urgent. Under this background, this paper uses the principle of “landscape information chain” to develop the traditional dwellings in Guanzhong Diqu Mountains in the whole process on the basis of full literature research and field investigation, combined with the local natural environment, social environment and economic environment. As an information chain, traditional dwelling houses in mountainous areas have studied the origin, formation, development, maturity and change of traditional dwelling houses in mountainous areas, analyzed the characteristics of different stages of the development of traditional dwelling houses in mountainous areas, evaluated and analyzed their corresponding values and existing problems, and put forward the corresponding development and protection of traditional dwelling houses in mountainous areas on the basis of inheriting local culture. Protect. Restoration and reconstruction of houses and destruction of cultural landscape.
Application research of desktop virtualization technology based on VOI in computer room management of colleges and universities
Authors: Tang Yejian , Ding Xuxing
Published: November 2019

VOI desktop virtualization technology has realized the new management mode of “centralized management, node operation and maintenance” in the computer room. It has overcome the disadvantages of a large number of management work required by the former protection card mode and the need for high-performance server for VDI desktop virtualization. “Disk network dual standby” technology gives full play to the local performance of the computer, reflecting the excellent local performance and high reliability of the client under centralized management. By integrating virtual machine technology into the VOI image system and relying on the advantages of local computing, a variety of teaching and experimental environments are constructed to completely meet the needs and lay a good foundation for the smooth development of research.
Research on Analytical Method of Private Power Protocol
Authors: Wang Jie , Zhong Zhiming , Wu Zhongfei , Liu Guanke
Published: November 2019

Based on the study of protocol reverse engineering, this paper proposes a method of deep message parsing for private power protocols. It can parse industrial control protocols, extract protocol fields and state machines without knowing protocol specifications. This method can be used to monitor the flow of private protocol network safely, and it is of great significance to ensure the safe and stable operation of power grid.