bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on Computer Network Information Security and Its Protection Strategy Based on Secure Big Data
Authors: Wang Haiping 
Published: March 2020

AbstractThe popularity of Internet technology is getting higher and higher. While computer information network brings opportunities for social progress and industry development, it also brings many problems. In the era when big data technology is widely used, computer network information security protection is particularly important. The application of big data in different fields not only helps to improve the work efficiency in various fields, but also brings challenges to the protection technology of computer network information security. The popularization of computer information networks has created new ways and means for information crimes. The theft of network information and the theft and reselling of personal network information have seriously affected the social security. In the era of big data, it is particularly urgent and important to strengthen the protection of computer network information and protect computer network information. This paper analyzes the factors that affect computer network information security in the era of big data, and further puts forward the protection strategy of computer network information security in the era of big data era.
Application and Analysis of the Wheel Method in the Measurement of the Center of Gravity of a General-Purpose Aircraft
Authors: Jiang Dongxiao , He Jianxin , Cao Jun 
Published: March 2020

Abstract
This paper starts with the commonly used wheel method of aircraft center of gravity measurement, and analyzes the more convenient horizontal attitude measurement method derived from the wheel method in the practice of gravity measurement of a certain type of general aircraft. Then through practical application and data analysis, it is determined that the factor that has the greatest influence on the measurement accuracy in this method is the measurement error of the front and the main wheel track. Finally, a special tooling measurement method for accurate measurement of the wheelbase is proposed for this factor, which makes the measurement accuracy of the center of gravity of the aircraft effectively guaranteed.
Application and Development of Tissue Engineering Technology in the Fields of Cardiac Reconstruction, Nerve Regeneration and Bone Reconstruction
Authors: Li Shuang 
Published: March 2020

Abstract
Tissue engineering technology has developed rapidly since its birth. In recent years, in the face of numerous challenges, scientists have developed many advanced technologies and applied them to the field of reconstructive surgery. However, most tissue engineering application technologies are still in the basic research or animal experiment stage, and there are relatively few clinical applications. This paper focuses on the development of tissue engineering technology in the fields of cardiac reconstruction, nerve regeneration and bone reconstruction. It focuses on the most promising technologies in the field discussing about their advantages, disadvantages and prospects.
Stock Trading Based on Principal Component Analysis and Clustering Analysis
Authors: Guo Yanru 
Published: March 2020

Abstract
Predicting stock price becomes a hot problem in the realm of investment for investors, brokers and dealers. Stock selection in active project investment is a challenging and significant task. By using technical analysis, analysts make efforts to select stocks and set transaction rules. In this paper, 9 technical indicators sere used to select appropriate stocks. Principal component analysis and cluster analysis were applied to estimate the stock returns in the day of the training time by selecting the earnings in the top 30 stocks. Finally through calculating annual yield, maximum retracement, Sharpe ratio, ratio of information, quantitative evaluation of a strategy was analyzed. The result showed the validation of technical indicators in the analysis of stock trading. This paper provides theoretical support for investors in technical analysis. Investors could make a reasonable judgment on the price trend of the stock market.
Emerging Applications of Generative Adversarial Networks
Authors: Yu Xinyu 
Published: March 2020

Abstract
With the idea of generative adversarial network (GAN) being brought up since 2014, a serial of research emerged in this field. While bring many exciting opportunities, these applications also raise the awareness of the risk of fake images which may cause huge damage. In this paper, we revisit the history of GAN’s development and summarize some important models and applications. Additionally, we discuss the worries which GAN would bring to people and possible solutions.
Ux Design of Artificial Intelligence News Robot
Authors: Yang Wenjin 
Published: March 2020

Abstract
Background: Artificial Intelligence and 5G are coming with an unstoppable tide. As a representative of traditional industries, the news industry is transitioning from labor-intensive to intellectual-intensive by using the advanced AI technologies. Product Design: In order to help news industry to catch up with the rest of high-tech world, a UX designer’s job is to make the interaction between users and AI useable and useful. By understanding journalists’ pain points and what AI can do to help, UX designers found out the best landing scenarios and designed 25 intelligent media robots. With the robots’ help, reporters can collect and process news resources faster and better. Conclusions: This study proves that developing intelligent news robots among journalists by using a theory-based, evidence-driven, and user-centered approach has the potential benefits of low cost, high accessibility, and good adherence. The productivity of journalists has been greatly improved with intelligent media robots. Intelligent news robots have advantages such as fast producing speed, high efficiency, low cost, high accuracy and strong news digging ability. However, it also has limitations such as limited reporting fields, poor readability and lack of depth.
Study on Cascading Failures of Power Grid Information Physics Fusion System Based on Pattern Search
Authors: Yue Junying , Li Cunbin 
Published: March 2020

Abstract
In a complex power grid, cascading failures that are triggered by some small disturbances can induce global catastrophic effects over the entire network. Based on the discussion of occurrence mechanism of power grid information physics fusion system cascading failures, this paper proposes an improved fault pattern search method. Compared with traditional search method, this method helps to improve the chain reaction set that causes the system failure, and makes it possible to make a comprehensive forecast search for grid link failures.
Design and Application of Cigarette Automated Logistics System Based on Computer Simulation Technology
Authors: Wang Lin , Xu Shengnan , Zhang Zhantao , Huang Qilu 
Published: March 2020

Abstract
The automatic logistics system of cigarette factory is a typical application of industrial informationization. Its purpose is to realize the automatic transportation of raw materials and finished products in the process of cigarette production through the automation system. In this paper, aiming at the automatic logistics system of recycling production waste, the computer simulation technology is applied to design and apply the system. In order to solve the problem of optimum solution of AVG, dumper and scheme selection in the process of production waste recycling, this paper uses computer simulation technology to model the business in actual operation, sets a series of evaluation indicators, simulates multiple collocations, processes and analyses the simulation results, and finally determines the automated deployment scheme of flow system.
Application Research of Distributed Control Technology in Tobacco Primary Processing Control System
Authors: Xu Shengnan , Wang Lin , Tao Zhilin , Tao Tietuo 
Published: March 2020

Abstract
Cigarette production includes cigarette product design and cigarette manufacturing processes. After the product designer completes the design of the cigarette product according to the requirements of the cigarette production, the process designer develops the cigarette manufacturing process, and the production personnel must manufacture according to the cigarette manufacturing process, in order to produce the high quality cigarette and obtain better economic benefits. The cigarette manufacturing process is based on the specified technical standards, existing machinery and equipment, processing methods and environmental conditions. It needs to organize processes scientifically, arrange time and space reasonably, and require a high degree of continuity and coordination. During the manufacturing process of cigarettes, the shape, size, composition and properties of tobacco leaves are constantly changing. Eventually become the expected product.
Research on Fault Location and Intelligent Inspection Based on Gps + Gis Transmission Line
Authors: Yang Chao , Su Chang , Tian Chong , Hu Lina 
Published: March 2020

Abstract
Transmission line inspection management is to ensure the safe and reliable operation of the power grid of a basic work. Through the line inspection workers could find that the potential risk factors, the necessary maintenance. So as to ensure the safe and reliable operation of the entire power system, this article designed an intelligent inspection system. The inspection system integrates the global positioning system, geographic information system, computer network communication technology. It can minimize the leakage detection system, the wrong test, saving costs, increase business efficiency and ensure safe and stable operation of transmission lines. In addition, the system can effectively supervise and manage the inspectors to ensure that the inspection is in place record, store and position reminders of incident data such as faults, accidents and equipment defects during the inspection process, and command personnel. But it makes it easier to pay close attention to the operating staff, so that it can grasp the safety of field staff in a timely manner, when an emergency situation can quickly locate the staff, and according to the system to provide navigation guidance to give the appropriate support or organization to rescue, And effectively put the “people-oriented, safety first” concept to implement.
Environmental Protection Requirements of Power Transmission and Transformation Project Construction Based on Internet of Things Technology and Its Change Trend Analysis
Authors: Zhai Xiaomeng , Cheng Xi 
Published: March 2020

Abstract
Due to the in-depth development of the Internet of Things, various industries have to attach importance to its construction. Based on the advantages of the Internet of Things that can realize intelligent identification and management, the Internet of Things has become another breakthrough after computers, the Internet and mobile communication networks. Based on a comprehensive analysis of the current situation of environmental protection management at home and abroad, the main environmental impact factors in the construction process are analyzed, and a monitoring method of environmental protection measures in the construction process of power transmission and transformation projects based on Internet of Things technology is proposed. The monitoring system of environmental protection measures shall be constructed in full connection with environmental assessment and completion acceptance, so as to improve the level of environmental protection supervision during the construction of power transmission and transformation projects. On the basis of implementing the scientific development concept, accelerating the adjustment of energy structure and accelerating the optimization of power structure, it will become the focus and direction of scientific development of power transmission and transformation systems to adhere to the sustainable development strategy, build a harmonious society, and strengthen environmental protection while developing power engineering construction.
Research on Electricity Market Transaction Model under the Background of Big Data
Authors: Mu Yicheng 
Published: March 2020

Abstract
With the advancement of electricity market reform and the influence of new entities, electricity market transactions have formed a diversified development trend, which puts forward higher requirements for transaction technology support systems. In the trading market a few days ago, power producers participated in the bidding of electricity generation. The trading center gave the optimal trading plan and settlement price under the condition of satisfying the safety constraints of the power grid according to the published competitive load curve and the declared data of power generation companies. The commodities traded in the electricity market are electric energy and various services necessary for the realization of electric energy trading, so the trading in the electricity market is very different from the traditional generation plan. Only by establishing the bidding trading plan model of the trading center can the trading plan be carried out, thus forming the power purchase plan for the power generation company. This paper analyzes the basic sources and characteristics of big data in the power market, obtains the characteristic values of big data attributes of mutual benefit and win-win of both parties through the model, and realizes the visualization of transaction price.
Research on Fault Diagnosis Method of Rolling Bearing
Authors: Zhou Huan , Wang Hao 
Published: March 2020

Abstract
Rolling bearings are often used as supporting parts in mechanical equipment. Its damage will often lead to the damage of related parts, resulting in the failure of the whole system and leading to shutdown and other accidents. From the point of view of diagnosis technology, rolling bearing is the key part of rotary machinery and the main object of monitoring and diagnosis. The reason for rolling bearing fault diagnosis is to ensure reliable operation of the bearing under various working environments, thus ensuring the working accuracy of the whole machine. When some component of the bearing works and produces defects, the bearing signal measured by the acceleration sensor has the characteristic of periodic impact. In this paper, the basic characteristics of bearing fault signals are analyzed, and the method of extracting fault symptoms of rolling bearings from vibration signals is discussed.
Design of Embedded Terminal Data Remote Transmission Control System in Internet of Things
Authors: Fu Weiqing , Yang Minglai 
Published: March 2020

Abstract
The underlying data exchange system of the Internet of Things is an integrated system for data collection and information transmission of the Internet of Things. The design method of the underlying data exchange system of the Internet of Things based on embedded is proposed. The embedded data remote acquisition system designed in this paper, the main communication control module and data acquisition and processing module are relatively independent. The embedded microcontroller AT89S52 is used to realize the main data transmission function. In the hardware design, the selection of A/D analog-to-digital converter is fully considered. A scheme of remote monitoring system based on the combination of communication network and Internet is proposed, and an embedded system based on DSP chip is further selected to design and implement the data transmission terminal of the remote monitoring system. Combined with Visual DSP++4. 5 development platform, the integration processing and information processing of the Internet of Things bottom data are carried out. The VIX bus transmission foundation is adopted to realize the data exchange control of the Internet of Things bottom, and the hardware design and software development of the system are completed. The test results show that the stability of data exchange at the bottom of the Internet of Things is good and the output error rate of data exchange is low.
Reasonable distribution of electric vehicle charging stations
Authors: Zhang Tingxuan 
Published: March 2020

Abstract
With the depletion of petroleum resources and people’s attention to environmental issues, the electric vehicle industry is booming. However, due to limitations in charging technology, the charging speed of electric vehicles cannot be completely satisfactory. Therefore, this paper proposes an innovative charging station location model to meet the needs of consumers. Due to the shortcomings of the traditional coverage model, the proposed location model consists of a loop model and a generalized maximum coverage model combined with a cellular network model. After the simulation experiment of the model in Ireland, we obtained the experimental results. Our proposed location model improves the utilization of EV charging stations.
Joint sleep staging model based on pressure-sensitive sleep signal
Authors: Huang Yongfeng , Liang LiWei 
Published: March 2020

Abstract
Sleep quality is an important indicator of human health, and sleep staging is a prerequisite for assessing sleep quality. In this paper, the CNN-BILSTM sleep staging model is proposed based on the pressure-sensing sleep signal collected by the smart mattress. The CNN network is used as the feature extraction part for the problem of the traditional sleep staging model in the pressure-sensing sleep stage [2]. This part can automatically extract the pressure sense. The staging characteristics of the sleep signal, combined with the BiLSTM model for sleep staging. In the experiment, the sleep data of 11 different experimenters based on smart mattress collection were used to identify the three sleep stages, in order to verify the superiority of the sleep stage of the model [3]. Two kinds of contrast experiments were used, one was compared with a single CNN stage, the BiLSTM model was compared, and the other was compared with the traditional feature extraction based sleep stage model. The experimental results show that the model has an accuracy of more than 80%. Better than traditional sleep staging and single deep learning sleep staging program.
Block Chain Financial Transaction Using Artificial Neural Network Deep Learning
Authors: Zhao Bowen , Wang Runyu , Cai Yan , Zhao Enyu 
Published: March 2020

Abstract
In order to adapt to the rapid development of the trading market in the financial industry under the condition of artificial intelligence and solve the unstable problem of capital loss in the process of financial transactions, in this study, firstly, the concept and principle of block chain are summarized, and the problems that block chain can solve are analyzed in an all-round way. Secondly, the concepts and computational principles of artificial neural network and deep learning are analyzed, and they are integrated into block chains for artificial intelligence payment. Finally, the block chain, which integrates artificial neural network and deep learning, is applied to the financial market. The results show that block chains can make use of decentralized networks to simulate virtual consumer payments, and can be used in many financial fields. They can track and check information and prevent goods from being tampered with in the logistics process. Artificial neural network (ANN) can imitate the human brain to process and calculate the captured data by using neurons in both forward and reverse transmission modes. Deep learning can process and recognize graphics and language information by means of computer network. After updating the artificial neural network and the block chain of deep learning, all kinds of transaction needs can be met through appropriate calculation methods, so as to accurately grasp the trading situation of financial market and provide the standard data of artificial intelligence to customers. This shows that the block chain which integrates artificial neural network and deep learning plays a decisive role in financial transactions, can bring huge potential benefits to the financial industry, and make the financial transaction market develop steadily under huge competitive pressure.
Existence design of output feedback H
∞ system compensator
Authors: Shi Xiurong 
Published: March 2020

Abstract
This paper is concerned with the existence design of output feedback H
∞ system compensator. Based on the current and historical research status, a novel compensator for H
∞ interference attenuation is developed by the method of linear matrix inequality for the purpose of reducing the harm to the system. The aim of this paper is to design the compensator such that the closed-loop system is stabilization and the prescribed H
∞ disturbance attenuation performance is achieved.
Construction of smart city evaluation system based on big data
Authors: Cheng Qian , Li Xiaolong 
Published: March 2020

Abstract
Big data makes data sharing possible. The existing database of the government management can realize efficient interconnection, greatly improve the collaborative office capacity of all departments of the government, improve the efficiency of serving the people, and greatly reduce the cost of government management. The most important thing is to provide strong support for government decision-making. His continuous “wisdom” will promote the smart city to be more intelligent and more intelligent. Scientific and more efficient goal. Based on the principle of wisdom, this paper first analyzes and selects 25 important indicators from the four aspects of environment, economy, society and population to establish the indicator system of sustainable urban development; then establishes the evaluation model of urban intelligent growth, and uses the size of the comprehensive index to measure the degree of urban development wisdom. Taking Xi’an as an example, the comprehensive index of the city based on the current development plan is obtained by using the urban smart growth evaluation model, and a new development plan is made for the city by using the urban smart growth evaluation Introduction.
Research on algorithm recommendation mechanism and characteristics of personalized news app——Taking “Toutiao” as an example
Authors: Yuan Yuan 
Published: March 2020

Abstract
With the development of mobile Internet, new technologies such as algorithm distribution and personalized recommendation came into being. The media appeared intelligent trend and the era of intelligent media came. This article uses China’s most popular algorithm to push news app “Toutiao” as an example. The app’s recommendation system is analyzed from the basic principles of algorithm recommendation, text recommendation and personalized tag. For news app, algorithm push is an inevitable trend, and the principle of algorithm recommendation mechanism of Toutiao is studied and beneficial. The platform regulates its own behavior and explores the solution for further development.
Numerical Simulation of Elbow Erosion in Liquid-Solid Two-Phase Flow
Authors: Xie Dingkun , Wu Yurong , Zhang Zhaolun , Wang Tengru , Chen Puxin , Cui Yu , Li Ce , Feng Shenyang 
Published: March 2020

Abstract
In order to study the erosion and wear of elbows caused by solid-liquid two-phase flow, CFD numerical simulation of elbows with different geometric parameters was carried out based on hydrodynamics and tribology theory. The rules of geometric parameters and wear rate of elbows were summarized, and the wear mechanism of pipelines was analysed with related theories. The main conclusions are as follows: the maximum erosion rate decreases with the increase of the pipe diameter and bending angle and increases with the increase of the pipe length and bending radius. Among the above factors, the bending angle has the greatest impact on the maximum erosion rate of the pipeline.