bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study on System Operation Characteristics of UHVDC Under Hierarchical Connection Mode
Authors: Wang Weiyuan , Cheng Jinmin , Ren Ziyuan 
Published: March 2020

Abstract
In order to effectively solve the problem of voltage support in receiving end of the multi-infeed DC system, the UHVDC connected to AC network under hierarchical connection mode is proposed. In this paper, the simulation model of UHVDC considering interlayer coupling is set up by PSCAD/EMTDC electromagnetic transient simulation software. The difference of AC system strength between hierarchical connection mode and traditional connection mode is compared. The variation characteristics of the effective interlayer short circuit ratio of the hierarchical connection AC system under different coupling strengths are simulated. By studying the influence law of the interlayer impedance on the steady-state system operation characteristics and the system commutation failure characteristics after the fault, the interaction between the different AC systems of the inverter side is analysed. The results of this paper can provide theoretical support for the operation stability of UHVDC hierarchical connection mode transmission system.
Optimization Research of Power Supply and Distribution Monitoring System Based on PLC
Authors: Qian Xiangjun 
Published: March 2020

Abstract
With the continuous development of comprehensive and multi-functional power distribution system, the reliability of power distribution system has higher and higher requirements. Therefore, it is particularly important to strengthen the real-time monitoring of power supply and distribution system. We choose PLC controller as the control core, and build the building automation power supply and distribution platform by matching with frequency converter, sensor and other equipment. We mainly take the district distribution room as the basic research object, design and optimize the monitoring system with automatic detection function. In this paper, S7-300 PLC is used as the core controller. Through the control program design and WinCC monitoring interface, the field monitoring is realized, and the realization of graphics monitoring system is discussed.
Research on Network Database Laboratory Instrument Management Information System Based on Content Query
Authors: Yang Bo 
Published: March 2020

Abstract
With the requirement of further opening of laboratories, it is increasingly important to carry out open management of laboratories on the basis of traditional laboratory management. In this paper, Windows operating system is used as the operating platform, ASP technology and databases such as Microsoft Access 2013 and Microsoft SQL Serv-er 2000 are used as development tools. This paper mainly discusses how to build an object-oriented image database based on content query based on the existing database management system, proposes a hierarchical model of the system, and presents a data structure model of the image database. A laboratory instrument management information system with B / S mode based on content query network database is developed. In the specific teaching, the laboratory should be fully open in the experiment content, experiment equipment, experiment time and experiment management, so as to make the laboratory open management scientific and improve the utilization rate of instruments and equipment.
Research on Computer Network Security Vulnerabilities and Preventive Measures Based on Multi-Platform
Authors: Xing Wenchao 
Published: March 2020

Abstract
The protection of computer network security vulnerabilities has always been the focus of people’s attention. It is necessary to analyze the causes of network security vulnerabilities in order to effectively protect and control them. In the operation of computer networks, there are some hidden risks, such as viruses, Trojan horses and hackers. For the information storage and transmission security has formed a huge threat, we need to do a good job in computer network security vulnerability analysis and prevention. Therefore, it is very important to strengthen the research of computer network security loopholes and preventive measures. This paper analyzes and discusses the types of computer network security vulnerabilities, the causes of computer network security vulnerabilities and the prevention measures of computer network security vulnerabilities based on multiple platforms.
Application of Edge Computing in 5g Communications
Authors: Wang Tongyu 
Published: March 2020

Abstract
As the next generation of the wireless communication technology, the fifth generation communication (5G) would bring revolutionary changes to our life. In this paper, we firstly give an introduction of the typical scenarios of 5G’s applications. Then we review the basic concepts of new computing hypotheses including cloud computing, fog computing and in some extent even for edge computing. Combining with the demand of 5G’s application, we analyze the opportunities and challenges of these new computing hypotheses in 5G era.
Ux Design of a Mobile Food App for Pregnant Women Mixed-Methods Approach
Authors: Yang Wenjin 
Published: March 2020

Abstract
Background: As a special group, the nutritional status of pregnant women not only directly affects their own health, but also has a close relationship with the growth and development of the fetus. More and more young people in China choose takeout food as their daily diet, which involves nutrition and food safety issue [1]. App Design: Nutritionist builds standard meal plans which could meet most pregnant women’s daily needs; the app collects all the physical exam results and the advices from obstetrician; after the data collection, nutritionists could use the suggestion from algorithm to customize each pregnant woman’s daily or monthly meal plan; finally, the chief will cook the meals and deliver them to the customer. Conclusions: After testing the app with 120 pregnant women in a hospital located at Zhenjiang City, Jiangsu Province, we plan to promote it to several cities nearby. The research suggests that this app can connect obstetrician, pregnant women, nutritionists, and chiefs so that pregnant women can be proactive in nutrition intake and control the food resource. Pregnant women highly appreciated the evidence-based pregnancy information, nutritionist’s opinions and convenient food delivery.
Network Security in the Era of Big Data
Authors: Zhong Feiyu 
Published: March 2020

Abstract
The convergence of three networks and the increasing progress of storage technique have ushered in the era of big data. As big data has key economic and political values, network security under the background of big data has become the focus of attention. Improving these network information security issues requires the joint efforts of the state, enterprises and individuals. The state needs to improve the definition of sensitive information, regulate the behavior of enterprises and individuals, and each user raises the awareness of network security prevention. It is believed that with the progress of technologies such as data encryption and data storage, network security issues will be better resolved.
Research on Power Network Regulation Mechanism Based on Knowledge Mapping
Authors: Dou Jianzhong , Wang Yang , Cheng Di , Sun Tao , Wu Yifei , Jin Yong 
Published: March 2020

AbstractKnowledge map plays an increasingly important role in industrial processes, but traditional knowledge map representation mechanism can not completely represent the elements required in grid regulation and multi-level coordination for the entity map with entity-relationship as the core or the event graph with the extended time and space concept. Therefore, based on the current representation mechanism, a new knowledge map representation mechanism is intended to be designed in this paper where a knowledge flow representation language for grid regulation will be designed according to the work flow representation language. In the paper, core elements of multi-level regulation in power grid are first analyzed, and then representation language and its query expansion mechanism is designed to realize the power grid regulation mechanism based on knowledge map.
Effect of Inertial on the Adiabatic Shear Instability: Numerical Analysis
Authors: Liu Jiejian , Wang Genwei 
Published: March 2020

Abstract
Adiabatic shear instability, as a common plastic instability model of metal materials, has attracted more and more attention. In the process of metal cutting, adiabatic shear instability is observed in the chip with different cutting speed. The plastic instability of the chip usually has two effects: one is the quality of the machined parts, and the other is the fatigue service life of the machined tool. These two factors are usually determined by the parameters of the tool (front corner, back corner), the processing parameters (cutting thickness and cutting speed) and other conditions. In order to improve the machining efficiency, the main way is to raise the cutting speed under the condition that the tool parameters are fixed. With the continuous increase of cutting speed, the inertial effect will become stronger and stronger. By means of commercial finite element software Abaqus/Explicit, this paper analyzes the variation of metal cutting morphology, the fluctuation law of cutting force, the change trend of average cutting force, and the role of inertia effect in different machining speed ranges.
Application and Development of Virtual Reality Technology in Artificial Intelligence Deep Learning
Authors: Lin Qi 
Published: March 2020

Abstract
Virtual reality technology is a key technology that can support multiple dimensional spaces. Virtual reality technology is often supported by computer graphics, digital image processing, multimedia technology, and sensor technology. Virtual reality technology is often not a single technology or discipline. With the rise of deep learning theory, virtual reality technology has also been vigorously developed with the help of computer graphics and other related theories. Virtual reality technology has been widely used in the commercial field, and products such as virtual VR glasses have become more and more popular. This article will give a more comprehensive introduction to the development of virtual reality technology, and this paper will introduce the relevant theory of deep learning to further introduce virtual reality technology.
The Comparison and Analysis of Classic Convolutional Neural Network in the Field of Computer Vision
Authors: He Hanyue 
Published: March 2020

Abstract
Convolutional neural network algorithm has been proposed as early as 20 years ago, but due to limited numerical computing ability and insufficient learning samples, it stays in the research stage, and is not popular in the application-end. In recent years, with the emergence of large-scale tagged data sets, the support of computer hardware and the improvement of related algorithms, convolutional neural networks have begun to be widely used in the field of pattern recognition and image processing. By analysing the development of CNN (Convolutional Neural Network) and two major models: VGGNet and ResNet, this paper demonstrates the importance of depth, width and residual learning in convolutional neural networks, and summarizes the trends of CNN structure and the basic paradigm of neural networks.
Saliency Detection based on spectra Destiny Peaks Clustering
Authors: Xia Ruochen , Wang Guangwei , Cheng Xiang 
Published: March 2020

Abstract
Saliency detection mapping the whole salient object by simulating the human visual system is one of the fundamental problems in computer vision. In this paper we proposed a novel method to map the spatial vector features of image points to spectra, and decompose an image into large scale perceptually homogeneous elements for efficient salient region detection, using spectra destiny peaks clustering. a multi-layer saliency mapping is built based the size of regions, The final saliency map is intergraded in a hierarchical model. This method can overcome the common problem in saliency detection that the detection accuracy could be adversely affected if salient foreground or background in an image containing small-scale high-contrast regions. The experimental results show that the proposed method outperforms are improved greatly.
Design for Communication Network of Internet in On-line Monitoring System for Power Transmission and Transformation Equipment
Authors: She Jin Tao 
Published: March 2020

Abstract
The Internet of things (iot) for power transmission and transformation equipment is a systematic process that extends from smart grid to intelligent grid, which can guarantee the safe operation of power grid. However, due to various types of power transmission and transformation equipment and complex information composition, the Internet of things will be a network with high relevance and promiscuity in the physical and information space. The Internet of things of power transmission and transformation equipment is based on information model and communication network. It is necessary to deeply discuss the Internet of things of power transmission and transformation equipment based on intelligent detection and life cycle management. In this paper, IEC61850, an advanced Internet of things technology, is used for online monitoring system of power transmission and transformation equipment, and hierarchical structure is used for equipment transportation state. This system has good reliability and flexible extensibility, and can realize the free distribution of functions and the knowledge of system expansion. Moreover, it can use substation configuration description language.
Intelligent license plate recognition system based on digital image processing
Authors: Zhang Yulong 
Published: March 2020

Abstract
With the rapid development of China’s economy, intelligent transportation system has gradually become an inevitable trend in the development of modern traffic management. AS an important part of intelligent traffic system, license plate recognition system plays an important role in the management and control of modern traffic. This paper uses digital image processing technology to study the license plate positioning technology of color automobile images. Through image preprocessing, license plate positioning, character segmentation and character recognition, the image is processed to realize the recognition of license plate under different environments.
Hand tracking and fingertip detection based on Kinect*
Authors: Wang Xinyi , Ge Wenxiao , Li Jinhu 
Published: March 2020

Abstract
With the rapid development of computer technology and sensor performance, hand gesture recognition (HGR) has become one of the most promising research in human computer interaction field. Among all the procedures of HGR, real-time hand tracking is of great importance, which also faces many existing challenges. In this paper, an effective method was proposed for hand tracking in real time using Kinect, including the hand region extraction and fingertips determination. During the former procedure, we presents a novel two-scan method based on connectivity analysis and recrusion algorithm to extract the hand region in real time. After this, in order to determine the fingertips, we first implemented a fast hand convex hull extraction algorithm to obtain the primary candidate points. Then two typical constraints based on hand shape characteristics are applied to determine the final fingertip points. The subsequent experiments verified that our proposed strategy could significantly improve the quality of real-time hand tracking.
Personalized information recommendation simulation system based on compound recommendation algorithm——A research tool to study the push effect of algorithm
Authors: Yuqiao Yan , Weiping Zhang , Fangdan Luo , Hongli Zhang 
Published: March 2020

Abstract
The benefits and effects of algorithmic push are affecting all walks of life. It has also aroused the interest of media research and the discussion on the technical and moral issues involved in algorithmic push. In recent years, the discussion about “information cocoons” has become more and more intense. How to make effective quantitative calculation for algorithm recommendation is the key to empirical research on this problem. Therefore, this study designed a tool to effectively operate this variable around this problem. Based on the analysis of the main recommendation mechanism of algorithmic information distribution, this paper points out a method of how to measure the accuracy of algorithm recommendation in practical research, and designs a simulation personalized information recommendation system based on composite recommendation algorithm combining two mainstream recommendation mechanisms, collaborative filtering and text analysis.
Application Research of Short-term Traffic Flow Forecast Based on Bat Algorithm Support Vector Machine
Authors: Wang Rongxia 
Published: March 2020

Abstract
Characteristics transition from certainty to randomness, and the prediction difficulty of traffic flow also increases.Short-term traffic flow prediction technology can help cities to induce intelligent traffic by a Urban road traffic is a dynamic and complex system. With the reduction of observation time range, traffic nalyzing and predicting traffic flow. Through the analysis of traffic flow data and the identification and processing of erroneous and missing data, the influence of noise on the prediction process is reduced. Intelligent Transportation System (ITS) is getting more and more attention. At the same time, people put forward higher requirements for vehicle type recognition, license plate recognition, traffic flow prediction and other technologies. Support vector machine (SVM) can find a compromise between model complexity and learning ability according to limited sample data, in order to obtain the best generalization ability. Based on bat algorithm (BA) support vector machine, this paper studies the basic algorithm of pattern recognition and regression analysis and its application in short-term traffic prediction of intelligent transportation system.
Reliability Research of Vacuum Circuit Breaker Based on Degradation
Authors: Mu Yan , Wang Yongxing , Zou Jiyan 
Published: March 2020

Abstract
As one of the terminal equipments of power system, circuit breaker plays the role of control, regulation and protection, and its reliability level has an important impact on the stability of power system. The key point of reliability research of circuit breaker is mechanical reliability. Aiming at the research of mechanical reliability of vacuum circuit breaker, in order to make full use of the process information of circuit breaker failure, this paper uses the method of reliability modeling based on degradation to do tens of thousands of degradation tests on six 12 KV permanent magnet vacuum circuit breakers, and uses the principal component analysis method to determine the degradation amount of overrun to establish the degradation process model. According to the over-range degradation data, Weibull distribution is used to establish the degradation distribution model, and the corresponding model parameters are calculated, and the reliability function and the reliability comparison curve are given.
Research on Optimization Strategy of Regional Haze Governance Based on Synergy Effect——A Case of Central Plains City Group
Authors: Peng Zili , Zhang Ganggang 
Published: March 2020

Abstract
As an atmospheric pollution, haze governance involves economic restructuring, energy change, environmental science, laws and regulations and other aspects, is an important measure to improve people’s livelihood and optimize the mode of economic development. Through the analysis of the causes of haze and based on the synergistic effect, taking the Central China urban agglomeration as an example, from the perspective of public management, this paper puts forward the optimization strategy of regional haze co-governance, by constructing government departments 、 different levels 、 inter-regional intergovernmental coordination mechanisms, mechanisms for communication between local government and enterprises, citizen and local government、 enterprise’s supervision mechanism, scientific research institutions and government、 enterprise’s decision-making staff and technical support mechanism, to form a multi-subject, multi-pronged, seamless haze governance structure, which will prevent and control the tragedy of public sharing, promote the governance of public goods such as the atmosphere, break the administrative limitations of the administrative region, crack the decline of the Central Plains, and the development collapse of central region. It is of great significance to avoid the ecological overload and atmospheric pollution of the Central Plains urban agglomeration and to build a beautiful Central Plains.
Design and Implementation of Embedded Network Intelligent Control System Based on Big Data Era
Authors: Tong Junhong 
Published: March 2020

Abstract
Embedded systems transform the Internet to the Internet of Things, and promote cloud computing and large data service applications. Big data is the complete data group of human data and physical data in the Internet of Things. This paper presents an embedded network intelligent control system based on ARM &amp; Linux. The system uses the embedded Boa server as the network server of the embedded network intelligent control system. Firstly, the architecture of embedded network intelligent control system based on web server is given. Secondly, the software system is described. Finally, the detailed modification process of Linux kernel for embedded network enabling control of terminal hardware is given. The embedded network intelligent control system architecture based on TCP/IP protocol stack can simplify the system architecture to a certain extent and has higher practicability. The experimental results show that the system works stably when the network communication speed is 1 Gb/s and the communication frequency is 80 Hz/s.
Browning Treatment in Tissue Culture of ‘Miliang 1’ Delicious Kiwifruit
Authors: Wang Rui , Song Qingling , Kongd Lingling , Zhang Yong 
Published: March 2020

Abstract
Explant browning is a common problem in tissue culture and has become a limiting factor in the development of kiwifruit tissue culture. The effects of different sampling time and disinfection conditions on tissue culture browning of ‘Miliang 1’ delicious kiwifruit stem segments were studied in this study. Finally, the best months of harvest and the best disinfection conditions were screened out. The results showed that the browning rate of ‘Miliang 1’ taken in April was significantly lower than other time periods, and the browning rate gradually increased with time, reaching a maximum of 33.3% in September, significantly higher than other times. There was no significant difference in the browning rate among May, June, July and August. When the disinfection treatment was 75% alcohol 10s + 0.1% mercury liter for 2 min, the number of pollution was much higher than other treatments, the disinfection treatment time was obviously insufficient. Whatmore, the longer the disinfection time, the less the number of pollution, but the more the number of browning was increased. When the disinfection treatment was 75% alcohol 30s+0.1% mercury 5min, the number of browning was significantly higher than other treatments. With the increase of alcohol and mercury treatment time, the number of explant contamination decreased, but the number of death increased significantly. Generally speaking, the final survival rate of callus induction in the treatment of 75% alcohol 20s + 0.1% mercury for 5min was significantly higher than other treatments, which was more suitable for the callus induction culture and disinfection of ‘Miliang 1’ kiwifruit.