bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on Environmental Management and Monitoring Technology of Solid Waste in China Based on Knowledge Map
Authors: Jiang Chengwei 
Published: November 2019

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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.
Research on Symbol Synchronization Technology of LDPC Coding System
Authors: He Yifeng , Hao Xiuqiang , Duan Zhemin , Jin Anzhong 
Published: November 2019

Abstract
In this paper, the influence of initial estimation of symbol synchronization error and signal-to-noise ratio on the performance of LDPC coding system is analyzed. Combined with the statistical characteristics of iterative decoding output soft information, a symbol synchronization joint signal-to-noise assisted by iterative decoding soft information is proposed. The ratio estimation algorithm combines symbol synchronization, signal-to-noise ratio estimation and iterative decoding through two closely related loops. Through the iterative calculation, signal-to-noise ratio and symbol in the case of extremely low signal-to-noise ratio The estimated value of the synchronization error can be quickly converged, and the decoding performance is close to the coding system with known signal-to-noise ratio and accurate symbol synchronization.
Research on Image Retrieval with Multi-features
Authors: Guo Yemin 
Published: November 2019

Abstract
This paper focuses on the key technology of image feature extraction in the image retrieval of the base ten-content, and systematically discusses the extraction technology of the low-level visual features of the image. The covered content mainly includes the color features, shape features, texture features and color space of the image. The characteristics of distribution are important. In-depth analysis and research on some key technologies in the field of image retrieval in the base ten content, including the description methods of the main low-level features (color, shape, texture, spatial position) of the image, the similarity measure between image features and the image retrieval algorithm Performance evaluation methods, etc.